IPC classes for russian patent Method for automatic detection of current state during multi- parameter comparison (RU 2255368):
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Random numbers generation method / 2246129
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Parallel subtractor-adder on neurons / 2246752
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Device for scaling number in modular scale of notation / 2246753
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Logical converter / 2248034
Device has eleven majority elements, four information inputs, two adjustment inputs.
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Symmetric module / 2248035
Module has n D-triggers, n AND elements and n OR elements, while output of i-numbered And element is connected to first input of i-numbered OR element, connected by second input to data input of i-numbered D-trigger, setting input and clock input of which are connected respectively to first and second control inputs of module, connected by i-numbered information input to first input of i-numbered And element, second input of which is connected to non-inverse output of i-numbered D-trigger, output of each previous OR element is connected to second input of following OR element, and second input of first and output of n-numbered OR elements are connected respectively to zero potential bus and module output.
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Pulse code transformer / 2248607
Device has information input device, clock generator, connected to address counter with decoder, outputs of which are connected to inputs of recording device, inputs of which are connected to output of programming device, signal generator and multiplexers. Device for recording object sate is connected to output of decoder of cells address of device. Signal generator includes cells for recording checksum. First input of signals generator is connected to output of decoder of address of cells of checksum, second input - to output of recording device, first output - to first inputs of multiplexers, and second output - to first input of binary adder, by its output connected to third input of signal generator and checksum. Outputs of decoder of checksum cells address and decoder of object state recording device cells addresses are connected to second output of address counter, which is connected to second inputs of multiplexers. Recording device is programmable.
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FIELD: computer science.
SUBSTANCE: method includes forming parameters aij for each object, where i - object number, , and j - parameter number , normalization of values of objects parameters relatively to maximal value for each object and calculation of value of vector Vi in space of n parameters according to formula , where with following recording and comparison of vectors values. Normalization relatively to value of maximal parameter allows to exclude wrong estimation of object state.
EFFECT: higher reliability.
The invention relates to information systems, in particular to the field of structural recognition samples, and can be used in automated systems operational diagnostics of technical and functional States multivariable process or object according to the measurement information, as well as for dynamic analysis of state changes of complex objects and processes in the economy, Finance, energy, etc.
Known devices and methods of control and diagnostics of the state of technical objects, implementation of which in process control and diagnostics are fixed slow change of parameters for each cycle, and the obtained data are compared with reference values and on the basis of comparison it is concluded that the state of the object (SU # 1504653 A1, G 06 F 15/46,1989). Also known input method automatically read digital data processing (EP 0493053 A2, G 06 To 1/12, 1992) and the method of data processing (EP 0493105 A1, G 06 F 15/20 1992).
Known devices and methods do not allow us to diagnose conditions multivariable processes (IGOS) on a large number of measurement parameters.
The closest to the technical nature of the claimed invention is a method of dynamic state analysis multivariate object or process, which consists in the operational conversion of the results of the tolerance parameter estimation in the corresponding information signals in a given time interval, and the quality of the estimated characteristics of the process can be amplitude, frequency, etc. as parameters of the evaluated characteristics use dynamic parameters, the conversion operation is carried out by formation of the corresponding color signal of the visible spectrum depending on the results of pass / fail evaluation of fact and the direction of change in a dynamic setting with generalization across many parameters at a given time interval, the display information signals through Cvetkovi chart-matrix, the columns which correspond to the relative value of the evaluation state class object parameters, and the rows specified time intervals, determining the relative size and nature of the integral changes the state of the object in the directions of change and the relative values of the time variation of the color signals (EN 2138849 C1, G 06 F 19/00, 27.09.1999).
The use of this method in real conditions does not allow dynamic analysis of the generalized state of the object (process) throughout the volume of diagnostic information, including the determination of the size and nature of the change of the integral state of the object. In addition, the accuracy of the data analysis of the state of interest is quite low due to insufficient processing of the obtained results, and presentation of results.
The technical result of the invention is to improve the accuracy of dynamic analysis of generalized across multiple controlled parameters of multivariate objects or processes with the operational definition of the relative size and nature of the change of its state, as well as reduce the time of analysis to inform decision support in the diagnosis States IGOS.
To achieve the technical result we propose a method for automatically determining the current state of objects in multi-parameter comparison, consisting in the formation for each of the N objects parameters and ij , where i is the number of the object , a j - number of the parameter setting values of parameters of the objects relative to the maximum value for each object and calculating the magnitude of the vector V i in the space of n parameters according to the formula where subsequent remembering and comparing values of the vectors. System for the implementation of the proposed method consists of forming, transforming the values of the n parameters of the object to a form suitable for subsequent digital processing, while the number of studied objects N. Then using the normalizing blocks produce normalized values of parameters of the object relative to the maximum value of the parameter, and then using multiplexers translate the normalized values of the quasi-permanent values in a sequence of pulses for each object that corresponds to the option after which erect the data values in the square. Because the multiplexers operate synchronously, the further sum of signals corresponding to the parameters is also synchronous. Next is the calculation of the vector V i . The values of vectors of different groups of objects are stored and compared to the distribution in ascending order. Implementation of the entire system and its individual elements hardship does not constitute and may be implemented as software, and using the circuit means.
For example, consider the comparative current state of two objects (regions), each of which is characterized by the following parameters:
- the number of TVs,
- the number of phones,
- the number of computers,
the number of mobile phones,
- the number of radios.
The normalization relative values of the maximum parameter allows you to exclude incorrect assessment of the state of the object by setting one of the parameters (e.g., phones).
Further evaluation of the magnitude of the vector V i in the space of n parameters allows to obtain a reliable picture of the state of the objects at the time of diagnosis.
Method for automatically determining the current state of objects in multi-parameter comparison, consisting in the formation for each of the N objects parameters and ij , where i is the number of the object, a j - number of the parameter setting values of parameters of the objects relative to the maximum value for each object and calculating the magnitude of the vector V i in the space of n parameters according to the formula
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