Computation and graphic display of statistical data

FIELD: information technology.

SUBSTANCE: at least some of illustrated versions of implementation relate to systems having a flow computer configured to monitor a physical process which is external with respect to a data processing unit, an archive server connected to the flow computer over a computer network and configured to receive data related to physical process and store said data in nonvolatile data storage, and a human-machine interface connected to the archive server over a computer network. The human-machine interface is configured to extract values of archive data related to the physical process from the archive server, calculate statistical data not stored in the archive server based on the values of archive data and display the statistical data on a display device.

EFFECT: reduced amount of data stored in archive servers.

32 cl, 8 dwg

 

PREREQUISITES TO the CREATION of INVENTIONS

[0001] Control systems control various industrial processes. For example, the management system may manage the power station, hydrocarbon processing, installation or bakery plant. Regardless of the type of the managed industrial station, the management system may contain, in addition to computer systems executing control algorithms, at least one computer system that performs the function of the archive server, collecting data and storing the data values pertaining to the managed process.

[0002] With the increasing size and/or complexity of managed processes the amount of data collected and stored by computer systems that perform the function of an archive server, can be extremely large. So, any way to reduce the amount of data that is optionally stored in an archive servers, and/or to extend the functionality relating to historical information, can provide a competitive advantage for the manufacturer of distributed control systems of technological processes.

BRIEF DESCRIPTION of DRAWINGS

[0003] Further details various options for implementation of the invention with reference to the accompanying drawings, in which:

[0004] figure 1 on the azan management system in accordance with at least some of the options for implementation;

[0005] figure 2 graphically shows an example of the mechanism of implementation of the archive server in accordance with at least some of the options for implementation;

[0006] figure 3 graphically depicts an example of a mechanism to inform the front-end of the machine about the required aggregate;

[0007] figure 4 shows the correlation diagram for an example of statistical data;

[0008] figure 5 shows a histogram for an example of statistical data;

[0009] figure 6 illustrates implemented using computer method in accordance with at least some of the options for implementation;

[0010] figure 7 shows the data processing unit in accordance with at least some of the options for implementation;

[0011] on Fig shows a system in accordance with some other options implementation.

NOTE AND TERMINOLOGY

[0012] In the following description and the claims used some terms related to specific system components. Experts clear that the company associated with distributed control of technological processes may use different names for the components. In the present description does not discriminate between components that differ in name but not function.

[0013] In the following description and the claims, the terms "on the make" and "comprising" are used in a permissive sense, thus, mean "including without limitation". In addition, the term "connection" or "connection" refers to direct or indirect connection. Thus, if the first device is connected to the second device, that connection may be a direct connection, an indirect connection is implemented via other devices and connections.

[0014] the Term "data mining" refers to statistical and/or logical analysis of data sets with defining relations between the various flow parameters of the physical process.

DETAILED description of the INVENTION

[0015] the following describes various implementations of the present invention. Although at least one of these options, the implementation is preferred, the embodiments disclosed should not be construed or used as limiting the scope of invention, including the scope of the claims. In addition, experts will be clear that the disclosed below, the invention has wide application, as described in the embodiments are intended solely to illustrate the invention and do not limit its scope, including the scope of the claims.

[0016] figure 1 shows the control system 1000 that is associated with the physical process 10, in accordance with at least some of the options realizzazioni process 10 may be any physical process, for control and management of which is used by the management system. For example, the controlled physical process 10 may relate to an apparatus for dispensing hydrocarbons (i.e., for billing and/or transfer of the product to the consumer), the various subsystems of the power station, various subsystems hydrocarbon processing plant or different furnaces, conveyors and mixing devices on the plant for food production. Regardless of the specific nature of the physical process 10, various temperature sensors, pressure sensors, valve, indicator valve position and system for engine control, if necessary, connected with the illustrated device 12 I/o management system.

[0017] As shown in figure 1, the control system 1000 may include at least one distributed data processing unit. Figure 1 shows an embodiment of a distributed unit 16 of the data processing. However, depending on the size and complexity of the physical process 10 can be used any number of distributed processing units of the data, and the flow computer 18 (described below) can similarly be considered a data processing unit. In accordance with the technology of the distributed process control, each gathered the block 16 data may be physically located near the device 12 I/o, which are directly connected with him. In addition, each block 16 may also be physically located near a particular part of the physical process 10, for which he is responsible. In the illustrated embodiment, the realization of the power station, managed by the system 1000, the distributed data processing unit, for example unit 16, and connected to the device 12 may be responsible for the management of the boiler, and therefore the block 16 may be physically located near the boiler. Similarly, in the illustrated embodiment, the realization of the power station unit 16 and connected to the device 12 may be responsible for turbine control and, thus, can be placed next to the turbine, for example in the turbine room.

[0018] Each block 16 executes the control software related to its part of the physical process 10. The control software can perform control schemes based on Boolean logic (and in some cases implemented in the form of multi-stage logic) or to provide feedback control, such as control of at least one proportional-integral-differential feedback circuit. In some other embodiments of the control software can control the physical process 10 based on Nar the authorized network. In addition to the management parts of the physical process 10, the scattered blocks 16, 18 can also perform program that computes the value of consumption of water, steam and gas. These values can be saved for later viewing and/or used as input parameters, the feedback parameters or parameters of direct communication that is used in the control software when executed in block 16. As the block 16 may be used, for example, the controller DeltaV® MD, manufactured by Emerson Process Management, St. Louis, Missouri, USA.

[0019] Although some distributed processing blocks of data made multifunctional and can be programmed with the ability to monitor various physical processes and their management are illustrated in figure 1 flow computer 18 is an example of a data processing unit, designed for a specific task. In particular, the computer 18 can be designed and made specifically for interfacing with various measuring devices 14A and 14B, which tracks the physical process 10. As devices 14 can be used, for example, hypersonic flow or various sensors pressure and temperature associated with the measuring diaphragm used for stream computing. In the case of the AE using the measuring diaphragm, the computer 18 can read data from different sensors and to calculate the flow rate of the fluid, flowing through the metering orifice. In the case of ultrasonic flow meters, the computer 18 can read the instantaneous flow rate, specific ultrasonic meter. In some implementations (for example, in which the measuring device 14 are exclusively ultrasonic flow meters), the computer 18 may be omitted and the measuring device in the form of ultrasonic flow meters can be directly connected to the communication network and, thus, can be similarly considered as blocks of data. Connected with the measuring diaphragm, ultrasonic flow meter, or both devices, the computer 18 can also accumulate (sum) measured consumption values for any suitable period of time. In addition, the computer 18 may perform various signal function (for example, to give the alarm at high and low values of flow or pressure), as well as additional control valves with selective translation or output of the measuring line (for example, as a function of the total flow). As computer 18 may be used, for example, flow computer Daniel® S600, manufactured by Emerson Process Management. In addition, as different devices 14 so the e can be used in the device of Emerson Process Management. Thus, the physical process controlled by the system 1000, can refer to the installation as a whole and to different devices measuring subsystem.

[0020] In most cases, data values are monitored or calculated specific distributed data processing unit, and output values that are managed in a similar way, associated with locally attached devices (i.e. devices 12 input/output if unit 16 and the measuring device 16 in the case of the computer 18). However, the block 16 and the computer 18 can communicate with each other and other devices via the network 20 connection. Thus, data values can be sent from one data processing unit to another to facilitate the execution of assigned tasks related to the physical process 10. In accordance with at least some of the options for implementation, as the network 20 used network type Ethernet (i.e. the network that defines the physical layer and data link layer of the open system interaction) with the exact Protocol for information exchange (i.e. levels above the level of the data model of open system interaction), set specific system developer. In other words, although most control systems uses based on Ethernet network 20, kadyrovtsy can use private high-level Protocol, suitable for specific hardware and configurations of the developer.

[0021] As shown in figure 1, most users of the management system is also preferable or necessary to have values for archive data related to the physical process 10. In accordance with various implementations of the archive server 22 is accomplished as part of the management system 1000 and is responsible for the collection and storage of archival data related to the physical process 10. In particular, the archive server 22 can contain a block of 24 data processing, form and design which can be made similar to the shape and design of block 16, but which can execute various application programs and/or support various operating systems. The block 24 is connected to the non-volatile device 26 for storing data in which the posted value of archival data. In accordance with at least some of the options for implementation as a non-volatile device for storing data used hard drive, or if necessary, the matrix hard disks controlled in failover mode, for example a matrix system of inexpensive disks redundant. In some other illustrative embodiments of as a non-volatile device for storing data may be used in any d is unavailable at present or developing device, in which data can be stored in the nonvolatile mode, such as optical devices and media to store data. In some other embodiments of non-volatile device 26 may include various devices for data storage, such as hard disks for the last value of archival data and the optical drive or tape drives for archived data that is used less often.

[0022] In some embodiments of the archive server 22 collects historical data through a survey of blocks of data, such as block 16 and a computer 18. In some other embodiments of the processing blocks of data are programmed with the ability to periodically send the selected data to the archive server 22. For example, data values for slow moving process parameters can be sent blocks of data to the archive server 22 at least every minute, and the parameters whose values change faster, you can go to the archive server 22 through the lower intervals (e.g. every two seconds or more).

[0023] Shown in figure 1, the system 1000 also includes a man-machine interface 28. As indicated by this name, as the man-machine interface 28 may be used, the mechanism by which Paul is the user interacts with the rest of the equipment system 1000. For example, the interface 28 may be used, the mechanism by which ensured the initialization of the feedback circuits, as performed by block 16, and their connection to the inputs and outputs of the respective input/output. As the interface 28 may also be used a mechanism through which can be set and changed various parameters used by the computer 18. In addition, the interface 28 may be used, the mechanism by which the operator monitors the physical process 10 and manages this process 10 (e.g., by adjusting the operating point tracking values alarms or changing the position of the valves). In addition, the interface 28 may be used, the mechanism by which the technologist monitors the trends of the physical process 10 and, if necessary, makes changes based on these trends in the settings or the control algorithm, executable by the control software block 16.

[0024] the Human-machine interface 28 may include unit 30, data processing, form and construction which may be similar to the shape and design of block 24 data archive server 22. The type and number of application programs and/or operating system unit 30 can be different from tipai number of application programs and/or operating system other blocks of data. The block 30 is connected to the device 32 to display, for example display on the basis of a cathode ray tube or liquid crystal display. Finally, the interface 28 may include United with him a keyboard 34 and a pointing device 36 to enable the user to interact with application programs executed by the block 30.

[0025] as the interface 28 may be used a mechanism through which the engineer or other specialist looking at a graphical representation of a physical processor 10 by means of the device 32. As the interface 28 may also be used a mechanism by which the person receives the valves archived data from the archive server 22 and generates graphs or charts of at least one stream of data values, using the device 32. For example, the engineer may direct interface 28 a request to form a timing diagram of the flow of natural gas in the corresponding part of the physical process 10 (e.g., flow of natural gas through specific measuring line from a set of parallel measuring lines). Man-machine interface 28 sends to the archive server 22 request for valves data and when data graphically displays them in the form of time diagrams of the flow of natural gas through the device 32.

[002] In some other embodiments of the archive server 22 may include programs, through which is provided the functionality of the human-machine interface, eliminating the need for a separate human-machine interfaces and archive servers 22. This combination, in particular, may be suitable for the physical processes of limited complexity, for example when using a system 1000 for measuring and tracking hydrocarbon streams.

[0027] In known control systems if necessary, a graphical display, such as a technologist, statistical data, these data must be a data point for which the archive server 22 stores the value of archival data. In other words, in the known control systems for graph display of any parameter (statistical or other parameter) on the device 32 need to constantly store the value of archival data for this parameter in the archive server 22. If the specified parameter is not a direct representation of the monitored or controlled parameter of the physical process 10, it should be formed on the basis of the monitored and/or managed parameters of the physical process 10 (e.g., by using a function block in a distributed block 16), and the parameter stored in the form of a stream of data values for a data point to the archive server 22. This technology is rivality to increase the size of the archive data base, which manages the archive server 22 and which directly affects the speed of the archive server 22, as well as to increase the number and size of non-volatile devices 26.

[0028] In accordance with various implementations, the disadvantages of the prior art are at least partially eliminated by creating a system that calculates statistics based on the value flows archived data from the archive server 22 without having to actually store the archive server specified statistical data. If you want to view and/or analysis of statistical data related to the physical process 10, the user makes a request for the calculation of statistical data through human-machine interface 28. Values retrieve archived data, and statistical data calculated in any suitable location (e.g., a human machine interface 28 or the archive server 22) and the obtained statistical data on display device 32 man-machine interface 28 (e.g., in the form of a normal distribution curve, scatter charts, graphics, depending on the time or other parameter). Thus, the amount of data stored in the archive server 22 can be reduced compared with a case when the necessary statistical data is e stored in the form of a stream of data values for a data point to the archive server 22 in Addition, the user is not limited to statistical data stored in the archive server 22, as appropriate statistical data related to the monitored and/or controlled parameters of the physical process 10 may be requested and displayed on the device 32. Below primarily describes an example of a mechanism to inform the man-machine interface 28 on the required statistical data, and then describes some examples of implemented statistical calculations.

[0029] figure 2 shows the configuration archive server 22 based on dragging and dropping, according to at least some variants of implementation. In particular, figure 2 in the left window 60 displays the list of parameters 62 physical process 10, which may, if desired, be stored or archived in the archive server 22. In the right window 64 shows a list of 66 points of data that are selected so that the archive server 22 maintains a stream of values archival data for each selected data point. In addition, the left window 60 and the right window 64 together illustrate the mechanism of drag and dropping to select a particular data point stored in the archive server 22. As shown in figure 2, is selected profile factor" (for example, by pressing and holding using the pointing device 36), which characterized the em relative velocity of the fluid flow in the pipe at different levels, as a data point for the profile factor dragged in the right window 64 and then released it (for example, by releasing the button on the pointing device). Thus, this method of dragging and dropping allows for the selection of specific data points that are tracked by the archive server 22. Software that implements based on dragging and dropping configuration archive server 22, may be available from various sources, such as Emerson Process Management. In accordance with at least some of the options for implementation, based on dragging and dropping configuration archive server 22 may be implemented by combinations of software, executable human-machine interface 28, interacting with software executable in the archive server 22.

[0030] In accordance with various implementations, calculation and graphical display of statistical data can be implemented by dragging and dropping similar to that described and illustrated in figure 2 by the way. In particular, figure 3 shows a window illustrating the configuration of a calculation of statistical data in accordance with at least some of the options for implementation. In the upper left window 70 shown data points for which the archive server 22 under the handles of the value of archival data. As the bottom right of the window 72 used the window of the pure form to inform interface 28 on the required statistical data. More specifically, in accordance with at least some of the options for implementation, the user interface 28 selects from a list of possible statistical calculations. Each potential aggregation associated with the window shape in which the various data points used in the statistical calculation, can be identified by the user. In the illustrated figure 3 implementation, the window 72 of the form used to calculate the percentage error between the two data points. The user can drag and drop a data point from a window 70 in the first field 74 values window 72 (arrow). After that, the user can select another data point from the window 70 and drag and drop it into the second box 76 values of the window 72. After informing the interface 28 of the selected data points to calculate the percentage error of the interface 28 may be retrieved from the archive server 22 values archival data associated with the selected data points related to the physical process by interaction through a network of 20 links (figure 1). After taking values archival data interface 28 calculates statistical data, as the cat is, which in the illustrated embodiment, the implement used percentage error, essentially based on the following equation:

The percentage error (%) = (Value 1 - Value 2)/Is 1*100 (1),

where "Percentage error" represents the percentage error between the two corresponding values of the selected data points (for example, data values corresponding to time), "Value 1" is a concrete data point is placed in field 74, and "Value 2" is a concrete data point is placed in the box 76.

In other words, man-machine interface 28 calculates the percentage error based on two streams of values, historical data, in cases when these flows are tracked, managed and calculated parameters of the physical process 10. The interface 28 graphically shows in some form on the basis of the calculation of the percentage error.

[0031] In the above-described implementations, the interface 28 retrieves archived data and computes the necessary statistical data. However, in some other embodiments of the interface 28 can accept from a user an identification of the calculated statistical data (for example, by selecting Windows forms for a particular calculation), and then the guidance used in the calculations of the data points. In some other embodiments, i.e. monitoring) reference and interface 28 not independently calculates statistical data. Instead, the interface 28 sends the archive server 22 via the communication required aggregate and used for the data point. The archive server 22 retrieves the valves archival data associated with these data points, calculates the requested statistical data and then sends it to the interface 28 to display using the device 32 of the display. In other words, from the point of view of the interface 28, the interface 28 receives from the user a request for the calculation of statistical data (if they are not tracked in the archive server 22). After that, the interface 28 sends the archive server 22 request for statistical data, receives statistical data from the archive server 22 and graphically displays them using device 32.

[0032] Regardless of the exact calculation of statistical data, the system user has the ability to view and analyze statistical data, although they are not the data point for which the archive server 22 maintains the value of archival data. Figure 4 presents a graphical display of statistical data in accordance with at least some of the options for implementation. In the specific case shown in figure 4, as a graphical display of the values of the percentage errors used scatter chart. On IG also presents a graphical display of the values of the percentage error between the two data points; however, in the case illustrated in figure 5, as a graphical display of the values of the percentage errors used in the histogram. Informing interface 28 on the graphical display of the percentage error in the form of a histogram can be made similar to the communication interface of the graphical display of the values of the percentage error in the form of a scatter plot, except that, in comparison with the graphic display in the form of a histogram, scatter plot can be used another window pure "form, or, as shown in figure 3, the portrayal mechanism can be selected in the window 72.

[0033] the Above talked about statistics in General, and was described specific example calculate the percentage error. However, the calculation of the percentage error is only an example, because there are various statistical calculations that can be applied to the archive server 22 values, historical data and can be suitable for a user interface 28. Following are some other non-restrictive examples of statistics that can be computed in accordance with various implementations.

[0034] One example of statistics that can be calculated in accordance with the various VA is Yantai implementation, is the standard deviation of flow values, historical data, stored in the archive server 22. In particular, regardless of the exact calculation, the standard deviation tracked, managed or calculated parameter can be computed within any specified start and end dates and/or start and end time. In some other implementations, the standard deviation can be calculated for a moving window of values for archive data and graphically displayed using the device 32. A large standard deviation of the parameter of the physical process 10 may indicate weaknesses or problems of the physical process 10, which do not necessarily reflect average values. In some other cases, a large standard deviation may indicate an impending failure of the tracking device (for example, temperature sensor, pressure sensor).

[0035] in Another example, the calculated statistical data, regardless of the exact place of execution of the calculation can be computed average values archived data within any specified start and end dates and/or start and end time. In some cases, the average value can be calculated in a moving window.

[0036] in Another example, ka is este statistical data may be used in the statistical estimation of unknown values of the physical process 10 using flow values archival data. The estimation of the unknown values can be implemented within any specified start and end dates and/or start and end time or in a moving window of data values. Although the estimation of the unknown values of the physical process 10 can be used with any method of statistical estimation, in accordance with at least some of the options for implementation during the evaluation can be used in any system for reducing the error calculations. For example, for a statistical evaluation can be used estimator Bayes and estimation by the method of moments. Additionally, there may be used other ways to reduce errors, such as the maximum a posteriori method unbiased estimates with minimum variance, a method of best linear unbiased estimation, Monte Carlo analysis using Markov chains, filters, Kalman, ensemble Kalman filters, Wiener filters, and other methods of statistical evaluation. One example of statistical estimation is the case of two parallel measuring flows. If in most situations, when measuring the threads work properly, there is flow separation in the ratio of 45/55% between the two measuring threads, in case of failure of one of the measuring flows can be made extra the economic assessment for the unknown values of flow through the faulty measurement stream.

[0037] in Another example, the statistical data is data mining performed on the basis of historical information associated with at least two data points that are supported in the archive server 22. Intellectual data analysis allows you to determine if any relationship between the different streams of values archival data.

[0038] in Another example, the statistical data, in accordance with at least some of the options for implementation, between the corresponding values for any two data points that are supported in the archive server 22 can be calculated correlation Pearson mixed moments.

[0039] in Another example, the calculation of statistical data for any stream of data values associated with the data point that is supported in archive server 22 may be made of linear and/or nonlinear regression analysis. For example, such analysis may include the construction of a curve using the least squares method using linear regression, linear regression, Bayes, minimizing absolute deviations regression quintiles and nonparametric regression within any specified start and end dates and/or start and end time or in a moving window of data values.

[0040] in Another example, the aggregation may include the analysis of variance within any given start and end date and/or start and end time or in a moving window of data values.

[0041] in Another example, the calculation of statistical data can be performed forecasting time series in the frequency or time domain to predict future values related to the values of the archival data stored in the archive server 22.

[0042] as a final examples, statistical data may also include standardized test calculation, for example, standard deviation, cumulative percent, percentile equivalents, Z-indexes, T-metrics, 9-point scales and procentov on 9-point scales within any specified start and end dates and/or start and end time or in a moving window of data values.

[0043] As described above, in accordance with various implementations may be performed essentially any statistical calculation that can provide the desired information.

[0044] figure 6 illustrates implemented using computer method in accordance with at least some of the options for implementation. In particular, the illustrated method may be performed via the man-machine interface 28. The method begins with step 600 and proceeds to step 604, where the processor accepts data points to be retrieved. At least in n which are embodiments of data points taken by providing drag-and-drop user of the data points from the first window and dropping them in a second window through the graphical user interface. Next, at step 608, the processor communicates via communication with the active archive server distributed systems process control. On the basis of interaction through communication at step 608, archival data related to the physical process, extracted in step 612 of the archive server according implemented using a computer method. After extracting the archive data statistics are not tracked in the archival server, calculates at step 616 according implemented through a computer method based on the accepted values for archive data. A particular type of statistical data may be different in each implementation. For example, statistical data can be used flux values of the percentage error based on two streams of data values from the archive server 22. In some other embodiments of statistical data can be used the standard deviation of the stream of data values from the archive server 22. In some other embodiments of statistical data can be used in the evaluation sequence of the unknown values of the physical process based on the known sequence of data values of the physical process of data retrieved is s from the archive server 22. In some other embodiments of the statistics may be the result of mining the data values retrieved from the archive server 22. In any of the illustrated implementation options ignored when calculating the statistics of the values of the archived data can be marked, if the physical system makes such values are unsuitable, even if their presence.

[0045] At step 620, any calculated statistical data can be displayed graphically on the display device realized by using a computer, then the proposed method ends at step 624. Although figure 6 shows the interface 28 that performs the calculation of statistical data in some other embodiments of the computation performs the archive server 22. Retrieving archived data (step 612) and the calculation of statistical data (step 616) via the man-machine interface 28 may be omitted, and the archive server 22 performs a calculation of statistical data at step 616.

[0046] figure 7 shows the 700 block of data in accordance with at least some of the options for implementation. As block 700 can be used by any data processing unit, shown in figure 1, for example a distributed unit 16 of the data processing unit 30, quenching the TCI data (associated with the interface 28), block 24 data associated with the archive server 22) or flow computer 18. In particular, the block 700 includes a processor 722 connected with the storage device 724 through the firewall device 726 communication. Although shown with only one processor 722 may also be used in a variety of CPU systems and systems in which the processor includes a processor core. As processor 722 may be used any available or currently under development processor such as a processor made by AMD, Sunnyvale, California, USA, or Intel, Santa Clara, California, USA.

[0047] the Processor 722 is connected to the gateway device 726 via the processor bus 728, and a storage device 724 is connected to the gateway device 728 via bus 730 storage device. As the device 724 may be used any volatile or non-volatile storage device or matrix of storage devices, for example devices, memory devices, dynamic random-access memory devices, static dynamic random access memory devices, dynamic random access memory double data rate, or devices, magnetic memory.

[0048] Firewall device 726 contains the controller pam is ti and generates control signals for reading from the storage device 724 and write to it using a processor 722, as well as other devices connected to the gateway device 726 (i.e. direct memory access). Storage device 724 performs the function of working memory for the processor 722, which stores programs executed by the processor 722, and data structures used by the programs executed by the processor 722. In some cases, the program stored in the storage device 724, copied from other devices (e.g. hard disk 734 as described below) prior to their execution.

[0049] Firewall device 726 not only provides the connection processor 722 with the storage device 724, but also provides the connection processor 722 and a storage device 724 with other devices. For example, the block 700 may include a controller 732 I/o, providing communication between the different devices of the input/output unit 700. In block 700, the controller 732 provides connectivity to non-volatile memory devices such as memory 734 hard drives, memory 736 on floppy disks (and the corresponding flexible disk 738), drive 740 on optical disks (and the corresponding optical disk 742, such as a CD-ROM or digital video disc), a pointing device 744 and keyboard 736, and the use of these devices. If the unit 700 is associated with man-machine interface 28, the keyboard is 746 RA and pointing device 744 may correspond to the keyboard 34 and pointing device 36, as shown in figure 1 If the block 700, shown in Fig.7, used a distributed unit 16 of the data processing unit 24 associated with the archive server 22, or the computer 18, and a keyboard 746 and pointing device 744 may be excluded. If the 700 block used block 16 or flow computer 18, drives 734, 736, and 740 can also be excluded. In addition, if the processor 700 used unit 24 associated with the archive server 22, instead of the controller 732 can be used mnogoznachitelbnye controller, such as cumulative controller for matrix systems are inexpensive disk drives with redundancy.

[0050] As shown in Fig.7, the firewall device 726 additionally provides the connection processor 722 and devices 724 with other devices, such as graphics adapter 748 and network adapter 750. If you need to use adapter 748 as it can be used by any suitable graphics card for reading the display memory and control graphics display or monitor 752 presented in display memory. In some embodiments of the adapter 748 contains a memory in which the processor 722 recorded graphics primitives and/or rules direct memory access between the device 724 and adapter 748. Adapter 748 when coupled to the gateway device 726 through any suitable bus system, for example, a bus for connecting peripheral components (PCI) or bus accelerated graphics processing (AGP). In some embodiments of the graphics adapter 748 performed as part of a firewall device 726. Man-machine interface 28 shown in figure 1, may include a graphics adapter, while the block 16, block 24 (associated with the archive server 22) and the computer 18 may not have a graphics adapter.

[0051] the Network adapter 750 provides interoperability of the 700 block with other blocks of data through a computer network 20 (as shown in figure 1). Network adapter 750 provides access through hardware connection (e.g., Ethernet) or wireless network Protocol (e.g., IEEE 802.11 (b), (g)).

[0052] As described above, in the case of the connection block 700 with the interface 28, as block 700 may be used by the computer through which the user interacts with a distributed unit 16 (for example, for programming feedback circuits relating to the management of the physical process 10), a computer 18, as well as archival by the server 22. In addition, the program implemented and executable to perform the methods mentioned above, can be stored on any machine-readable media for storing the data unit 700 (e.g., in storage at the trojstva 724, the optical device 742, storage device 738 on floppy disks or memory 734 hard drives) and performed of these media.

[0053] the Various above-described implementations relate to a management system; however, the reduced functionality of the data stored in the archive as values, historical data, and the method of calculating the statistical data based on the values of archived data can be used in each case, when the backup server is connected to the data processing unit. On Fig shows some other embodiments, in which the diagnostic node 800 is directly connected with the ultrasonic flow meter 802. In particular, the node 800 may contain block 804 data directly (or locally) connected to a device 806 display and keyboard 808 and a pointing device 810. The shape and construction of block 804 may be performed similar to the shape and design of block 24 archive server 22 (as shown in figure 1). In these embodiments of block 804 and, thus, the node 800 performed by a program that performs the archive server function in the flow of data values from the physical process, in particular in relation to flows of data values generated by the ultrasonic flow meter 802. The flow meter 802 can generate data streams, the example data streams, related to the travel time of the ultrasonic signal between pairs of transducers for multiple transducers, measurement of sound velocity and the instantaneous flow through the flow meter 802. Although, as shown in the drawings, the flow meter 802 consists of blocks of data, which can be attached diagnostic node, in some other implementations can be used for flow computers and distributed processing blocks of data management systems.

[0054] In accordance with at least some of the options for implementation, in addition to performing the archive server functions with respect to the data generated by the flow meter 802, the node 800 may receive from the user a request for the calculation of statistical data, is not supported as values for archive data. In the implementations shown in Fig, a request for the calculation of statistical data can be passed through a keyboard 808, the pointing device 810 and the device 806 display. In some other implementations, the request may be received via another data processing unit, connected via a computer network. In addition, request the calculation of statistical data can be accepted by dragging and dropping, as described above.

[0055] Irrespective of any specific the mechanism, through which is passed a query and statistical data calculated by the node 800. Thus, the embodiments shown in Fig, clearly show the cases in which human-machine interface and the backup server are implemented in a single data processing unit. The calculated statistical data can be displayed graphically. In some cases, the statistical data is displayed graphically on the directly attached device 806. In some other embodiments of a graphical display or themselves if necessary statistical data can be sent (via external computer networks) remote prisoedinennom display device and graphically displayed using this device. All the above statistical data, and how the graphical display can be used in the implementations shown in Fig.

[0056] based On the above descriptions of professionals can easily combine the above software with the appropriate generic or specialized computer hardware for the formation of a computer system and/or computer subcomponents, the above-described methods and/or create at least one machine-readable media for storage the software, implements aspects of the methods mentioned above, according to various implementations of the present invention.

[0057] the Above-illustrated principles and different ways of implementing the present invention. From the above descriptions for specialists apparent various modifications variants of realization of the invention. In particular, the above description and terminology related to distributed control systems of technological processes; however, similar functionality is implemented in SCADA systems containing the units Supervisory control and data acquisition, coupled with programmable logic controllers. SCADA systems can contain at least one unit Supervisory control and data acquisition, coupled to at least one block of the programmable logic controller via the underlying communication network. The blocks of the programmable logic controller to control the physical process (for example, using discrete or Boolean control and continuous control, in particular proportional-integral-differential control), and Supervisory control and data collection collect information about the physical process and provide Supervisory control of the system by the user. In other words, the programmed blocks programmiruemoi logic controller are Autonomous and control the physical process or part of it, and blocks Supervisory control and data acquisition retain archive data and provide the status window control, which allows the user to change the control mode (e.g., changing the settings of the flow or level settings). Thus, it is obvious that the functionality of the unit Supervisory control and data acquisition is similar or identical in comparison with the functionality described above man-machine interface and archive servers. In addition, the functionality of a programmable logic controller which is similar or identical in comparison with the functionality of the above-described distributed processing units of the data. Terminological differences between SCADA systems and distributed control systems of technological processes largely depend on the industry that uses these systems. Terminology related to distributed control systems of technological processes used for industrial stations (e.g. stations for processing hydrocarbons, power stations), and terminology related to SCADA systems are used for industrial automation. However, in view of the present description and claims, the inventive contribution set forth in the terminology of distributed control systems technologist is ical processes, also refers to the systems described in the terminology of SCADA systems, and, thus, that the manufacturer uses other names for components (e.g., programmable logic controller instead of a distributed data processing unit or the SCADA system instead of the archive server and/or human-machine interface) excludes the existence of a violation. In a broader sense, the specified inventive contribution refers to any track node based on the SCADA node programmable logic controller, diagnostic and/or current in real time to the site, the functionality of which includes includes the functionality of the archive server. Thus, the following claims cover all such modifications.

1. System for distributed process control, containing:
distributed data processing unit, configured to monitor a physical process, and management;
flow computer connected to the distributed data processing unit and configured to monitor external to the data processing unit of the physical process;
archive server connected to the flow computer through a computer network and configured to receive data relating to the physical is in the process and the ability to store these data in a non-volatile storage device; and
man-machine interface connected to the archive server via a computer network and configured to:
retrieve values related to the physical process archived data from the archive server;
calculations are not stored in the archive server statistics based on the value of archival data and graphical representation of statistical data by using the display device.

2. The control system according to claim 1, in which the man-machine interface calculates statistical data and configured to implement at least one action selected from the group consisting of:
calculate the percentage error based on two streams of values, historical data, each of which is associated with a tracked or managed parameter of the physical process;
calculate the standard deviation of the stream of values archival data associated with the monitored or controlled by the physical parameter of the process; assessment of stream unknown values of the physical process using flow values archival data of the physical process in the extracted values of archived data and data mining based on the value of the archives the data.

3. The control system according to claim 1, in which the man-machine interface is additionally configured to receive data points used by dragging from the first window and lowering the second window.

4. The control system according to claim 1, in which the archive server and the man-machine interface is executed in a single computer system.

5. System for distributed process control, containing:
the data processing unit containing a processor and a storage device coupled with the processor and storing a control program, which when executed by a processor causes the processor to monitor external to the data processing unit physical process;
flow computer connected to the data processing unit and configured to monitor external to the data processing unit of the physical process;
archive server coupled to the data processing unit via a computer network containing a processor;
non-volatile data storage device, coupled to the processor;
a storage device coupled with the processor and storing archival program, which when executed by a processor causes the processor to receive data related to a physical process, and store them in nonvolatile device is as for storing data;
man-machine interface connected to the archive server via a computer network and containing
the display device;
a processor connected to the display device;
a storage device coupled with the processor and storing a program to analyze trends, which when executed by a processor causes the processor to:
retrieve values related to the physical process archived data from the archive server;
calculation is not stored in the archive server statistics based on the value of archival data and graphically display statistics using the display device.

6. The control system according to claim 5, in which the data processing unit used at least:
flow computer connected to the measuring device or a distributed data processing unit, configured to implement control algorithms within a physical process.

7. The control system according to claim 5, in which when calculating processor man-machine interface statistics program for the analysis of trends additionally induces the processor to calculate the percentage error based on two streams of values, historical data, each of which is associated with the monitored or controlled by the physical parameter is one process.

8. The control system according to claim 5, in which when calculating processor man-machine interface statistics program for the analysis of trends additionally induces the processor to calculate the standard deviation of flow values archival data associated with the monitored or controlled parameter of the physical process.

9. The control system according to claim 5, in which when calculating processor man-machine interface statistics program for the analysis of trends additionally induces the processor to evaluate the flow of unknown values of the physical process using flow values archival data of the physical process in the extracted values of archival data.

10. The control system according to claim 5, in which when calculating processor man-machine interface statistics program for the analysis of trends additionally induces the processor to perform data mining on the basis of archival data.

11. The control system according to claim 5, in which before the calculation of the statistical data for trend analysis additionally induces the processor to determine whether a specific value of archival data suitable for use in accordance with the configuration of the physical system, and to mark the value of ar is active data, ignored when calculating statistical data, if the physical system makes the value of archival data unusable.

12. The control system according to claim 5, in which the program to analyze trends additionally induces the processor to accept data point intended for use by dragging from the first window and lowering the second window.

13. The control system according to claim 5, in which the archive server and the man-machine interface is designed as one device.

14. System for distributed process control, containing:
the data processing unit containing a processor and a storage device coupled with the processor and storing a control program, which when executed by a processor causes the processor to monitor external to the data processing unit physical process;
flow computer connected to the data processing unit and configured to monitor external to the data processing unit of the physical process;
archive server coupled to the data processing unit via a computer network and containing
processor;
non-volatile data storage device, coupled to the processor;
a storage device coupled with the processor and storing rivnay server software, which when executed by a processor causes the processor to receive data related to a physical process, and store them in a non-volatile storage device; and
man-machine interface connected to the archive server via a computer network and containing
the display device;
a processor connected to the display device;
a storage device coupled with the processor and storing a program to analyze trends, which when executed by a processor causes the processor to:
to accept from a user a request for the calculation is not tracked in the archive server statistics based on the data related to the physical process;
send a request for the calculation of statistical data to the archive server;
to take statistical data and graphically display statistics on the display device;
and archival program additionally makes the archive server processor to calculate statistical data and pass them to the man-machine interface.

15. The management system 14, in which the data processing unit used at least:
flow computer connected with a measuring device; or a distributed data processing unit, configured to implement and is of Goranov control inside the physical process.

16. The management system 14, in which when calculating processor archive server statistics archive program additionally causes the processor to calculate the percentage error based on two streams of data values, each of which is associated with a tracked or managed parameter of the physical process.

17. The management system 14, in which when calculating processor archive server statistics archive program additionally causes the processor to calculate the standard deviation of the stream of data values associated with the monitored or controlled parameter of the physical process.

18. The management system 14, in which when calculating processor archive server statistics archive program additionally causes the processor to estimate the unknown sequence of data values of a physical process using a sequence of known data values of the physical process in the extracted data.

19. The management system 14, in which when calculating processor archive server statistics archive program additionally causes the processor to perform data mining on the basis of the data values stored in the archive server.

20. Control C is theme for 14 where before the calculation of the statistical data archive program additionally causes the processor to determine whether the data values suitable for use in accordance with the configuration of the physical system, and to mark the value of archival data to be ignored during the calculation of statistical data, if the physical system makes the value of archival data unusable.

21. The management system 14, in which the program to analyze trends additionally encourages the processor man-machine interface to accept data point intended for use by dragging from the first window and lowering the second window.

22. The management system 14, in which the archive server and the man-machine interface is designed as one device.

23. Machine-readable medium that stores a program that when executed by a processor in a system for distributed process control encourages processor:
interact through communication with the archive server;
retrieve the value of archival data related to the physical process of the archive server;
to calculate not tracked in the archive server statistics based on the extracted values of archival data and graphically display statistics the definition of the data through a display device.

24. The media item 23, which when calculating CPU statistics this program additionally causes the processor to perform data mining on the basis of archival data.

25. The media item 23, which when calculating CPU statistics this program additionally causes the processor to calculate the flow values of the percentage error based on the first stream of values archival data and the second stream of values archival data.

26. The media item 23, which when calculating CPU statistics this program additionally causes the processor to calculate the standard deviation in a moving window of data values from a stream of values archival data.

27. The media item 23, which when calculating CPU statistics this program additionally causes the processor to estimate the unmeasured data values of a physical process by using the values of archival data.

28. The media item 23, in which before the calculation of the CPU statistics this program prompts the processor to determine whether the data value is valid, in accordance with the configuration of the physical system, if the data values are stored, and tagging Yes the data ignored when calculating statistical data, if the physical configuration of the system makes the data value is unusable.

29. The media item 23, which when calculating CPU statistics this program in addition to use accepts data points that are subject to recovery by providing drag-and-drop user of these data points from the first window and lowering the second window in the graphical user interface.

30. System for distributed process control, containing:
the first data processing unit, made with the possibility of the formation of streams of data values that relate to the physical process and each of which refers to the data point; and
the second data processing unit connected with the first data processing unit and configured to maintain the archive data values for each data point; receiving from the user request, the calculation is not supported as values for archive data statistical data based on the value of archival data related to the physical process, the calculation of statistical data and graphical display are not stored in the archive server statistics by using a display device.

31. The system p is item 30, in which the second data processing unit is additionally configured to at least:
departure statistics remote attached to the display device or the graphical display of statistical data using direct-attached display device.

32. The system according to item 30, in which the first data processing unit used at least ultrasonic flowmeter,
a flow computer or a distributed data processing unit of the control system.



 

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