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Automated method of controlling and managing process for preparing sugar syrup mixture for crystallisation by cooling

Automated method of controlling and managing process for preparing sugar syrup mixture for crystallisation by cooling
IPC classes for russian patent Automated method of controlling and managing process for preparing sugar syrup mixture for crystallisation by cooling (RU 2342438):
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Method involves purifying diffusion juice, clarifying crude sugar, evaporation of juice to obtain syrup and crystallization of syrup in vacuum-apparatus. Clarifying crude sugar is carried out by taking off part of purified juice feeding to evaporation and addition crude sugar to it up to the content of dry matters in clarification 55-65%, or by addition of crude sugar to syrup obtained after partial evaporation of purified juice up to attainment of indicated content of dry matters in clarification. Clarification obtained in the first case is mixed with syrup of the remainder amount of purified juice with the content of dry matters 55-65%. Before the boiling out process obtained clarifications are subjected for purification. Invention provides processing large amount of crude sugar with beet simultaneously, to enhance the yield of the ready product and to reduce specific energy consumptions in evaporation of sugar-containing solutions.

FIELD: chemistry, sugar production.

SUBSTANCE: proposed automated method of controlling and managing the process of preparing sugar syrup mixture for crystallisation by cooling makes provisions for regulating the volumetric discharge of water entering the mixer and the level of sugar syrup in it. Regulating the level of the sugar syrup in the vertical mould is achieved by acting on the adjustable-frequency electric drive of the sugar syrup pump. Periodically using the lab the density of the ready sugar syrup is controlled at the exit from the mixer. The active electrical power which is used in the electric motor of the sugar syrup pump, the temperature and pressure differential of the sugar syrup mixture, coming from the mixer and water at the entrance of the mixer are all measured. The water-mass density is calculated by its temperature and the density of the sugar syrup mixture by its pressure differential. Afterwards the volume flow rate is worked out by the measured volume flow rate of water, by the estimated value of the density of water and sugar syrup mixture and by the density of ready sugar syrup measured in the laboratory. The dependency ratio of the active electric power from the volume rate of flow of the sugar syrup mixture and the differential in its pressure N=α1Q3УΔPy2QyΔPy , where N - active electric power; QY - volume rate of flow of sugar syrup mixture entering the mixer; ΔPY - pressure differential of the sugar syrup mixture; α1, α2 - coefficients. The obtained plot is used for future calculations of volume rate of flow of sugar syrup mixture only with measured values of active electric power and pressure differential of the sugar syrup mixture. The current task of the regulator of the volumetric water discharge is determined on the basis of measured values of this output, estimated values of the density of sugar syrup mixture, water and volume rate of flow of the sugar syrup mixture, the determined value of density of ready sugar syrup mixture and the task of the regulator calculated in the previous control step. The solid content of the original sugar syrup mixture is controlled - by its temperature and density in the ready sugar syrup mixture. This invention makes it possible to reduce the loss of sugar from molasses due to a more qualitative stabilisation of the density of molasses on its exit from the mixer.

EFFECT: reduction in the loss of sugar from molasses due to a more qualitative stabilisation of the density of molasses on its exit from the mixer.

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The invention relates to methods of automatic control and management of the preparation process of the massecuite to crystallization by cooling and can be used in the sugar industry during crystallization of sugar.

The known method for automatic process control of crystallization of sugar in the mixer-molds for the regulation of cooling water in the jacket thelemically depending on the measured temperature of the cooled massecuite (Eselevich ME and other Basics of automating the processes of beet sugar production. M: Food industry. - 1968, s).

The disadvantage of this control method is that it does not provide for the regulation of the density of the massecuite, is supplied into the mold, and may not be used to control the process of preparation of the massecuite cooling in a vertical crystallizers.

The closest in technical essence and the achieved effect to the proposed method is a method for the automatic control of the process of preparation of the massecuite to crystallization by cooling in a vertical mold, providing for the regulation of the volume flow of water into the mixer and level of massecuite in it, the regulation level of the massecuite in a vertical mould by affecting variable frequency drive massequite pump, enabling the th periodic laboratory monitoring of the density of the finished massecuite at the exit of the mixer. To maintain the setpoint solids content after the mixer is used periodic analytical control of this parameter with the correction job flow ammonia water and, if necessary, the ratio of the massecuite:water (Vinchur, Accedence, Upoko, EMedia, Vampisoul, TI Leonov, L.A. Shatalov. Experience of implementation of vertical crystallizers in sugar refineries company Rusagro.//The sugar. - 2002 - No. 3. - P.53...55).

The disadvantage of this method of control is that it is not possible to achieve reliable operation of the control circuits, intended for stabilizing the density of the massecuite at the output of the mixer (Vinchur, Accusense and other Experience in the implementation of vertical crystallizers in sugar refineries company Rusagro.//The sugar. - 2002 - No. 3. - P.55, lines 11...33 above). Also this method does not allow to automatically control the solids content in the massecuite at the entrance and at the exit of the mixer.

The technical problem of the invention is to reduce losses of sucrose from molasses due to better stabilization of the density of the massecuite at the entrance to the vertical mould and automation control of the content of dry substances in source and finished massecuite.

This result is achieved in that in the method of automatic control% som preparation of massecuite to crystallization by cooling, providing for the regulation of the volume flow of water into the mixer and level of massecuite in it, the regulation level of the massecuite in a vertical mould by affecting variable frequency drive massequite pump, including periodic laboratory monitoring of the density of the finished massecuite at the exit of the mixer, it is new that additional measure active electric power consumed by the electric drive massequite pump, temperature and pressure massecuite entering the mixer, the water temperature at the inlet to the mixer, calculate the density of water at its temperature and density of the massecuite by its pressure drop, calculate the volume flow of massecuite in the mixer on the measured volumetric flow rate of water the calculated values of water density and massecuite and laboratory measured density of the finished massecuite, determine the dependency ratios of the active electric power from the volumetric flow of massecuite and the differential pressure

where N is the active electrical power;

Qy- volume flow of massecuite in the mixer;

ΔPy- the pressure drop of the massecuite;

and1and2are coefficients

and use this relationship for the subsequent calculation of the volume flow of massecuite only on the measured values of active is elektricheskoi capacity and pressure drop of the massecuite, determine the current setting of the slider of the volume flow of water based on the measured values of the flow rate, the calculated values of the density of the massecuite, the water and the volumetric flow of massecuite, the set value of the density of the finished massecuite and set the regulator calculated at the previous step control, control the content of dry substances in the source massecuite on its density and temperature, in the finished massecuite volume costs and density of the source of the massecuite and the water and the solids content in the source massecuite.

The technical result of the invention is illustrated by the example of its implementation and figures 1 and 2. Figure 1 shows a control circuit that implements this method. Figure 2 shows experimentally obtained comparative graphs of the time variation of the density of the finished massecuite at the output of the mixer (figa) and purity microcannula solution of massecuite before centrifugation (figb) in managing the process of preparation of the massecuite to crystallization by cooling using a known method (figures 1,3) and using the invention (figures 2,4).

Method for automatic control and management of the preparation process of the massecuite to crystallization by cooling is implemented as follows.

Massequite pump unit 1 delivers the original massecuite in the vertical pipe 2 into the mixer 3. what about the pipeline 4 into the mixer 3 is fed ammonia water. From the mixer 3 finished massecuite is fed into the vertical mold 5, the level of the massecuite which is controlled through a circuit including a level sensor 6, the controller 7 and the inverter 8 drive massequite pump 1. The differential pressure of the source of the massecuite in the pipeline 2 and the temperature of the massecuite is measured respectively by the sensors 9 and 10. Volumetric flow rate of ammonia water in the mixer 3 is measured by the sensor 11 and handle with knob 12 and control valve 13. The level in the mixer is controlled by the circuit including the sensor 14, the controller 15 and control gate 16. The temperature of the ammonia water is measured by the sensor 17. Active electric power consumed by the electric drive massequite pump 1, is measured by the sensor 18. Information from the sensors 9, 10, 11, 17, 18 arrives at the inputs of the functional block 19, which is calculated setting the controller 12 of the flow rate of the ammonia water in the mixer and calculate the content of dry substances in source and finished massecuite. In block 19 from the engineerís is also information about laboratory measured density of the finished massecuiteand job density of the finished massecuite.

The dependence of the density of the massecuite from the content of the SV is calculated according to the formula, which evaluated the accuracy to calculate latest sugar solution (Deenet-Radchenko, Samuilenko, Kottenheim. The calculated dependences of thermophysical properties of sugar solutions.//Sugar.- 2004 - No. 1. - S.43):

where ρB(t) is the density of water.

The density of the massecuite is determined by the block 19 by the hydrostatic pressure drop of the liquid column, measured by the sensor 9:

where ΔPythe differential pressure measured by the sensor 9, N/m2;

g - acceleration of free fall equal to 9,81 m/s2;

Hy- the height of a column of the massecuite in the pipeline 2, m Temperature of the massecuite is measured by the sensor 10, °C.

Thus, using equation 2, 3, 4 can be calculated content of dry substances in the massecuite STy. The calculation of ST.yis the block 19 by the formula:

where- current density of the massecuite, defined by the formula 4;

(CB,t) is calculated by the formulas (2) and (3) the density of the massecuite at the current temperature t measured by the sensor 10.

The optimization problem (5) is formulated as follows: determine the value of contentto the current density of the massecuite, defined by the formula (4), was equal to its density, calculated by formulas (2) and (3).

As is ormula (2) the dependence of the content of ST yfrom the density of the massecuite essentially nonlinear and is not solved analytically to calculate SVyfordensity and temperature, you must use one of the methods of nonlinear programming, such as the configurations of hook-Jeeves (Shoop So the Solution of engineering problems on computers: a Practical guide. TRANS. from English. - M.: Mir, 1982. - 238 S. str...182). Due to the fact that when STycan get negative values or large 100%, then the value of STyit is necessary to impose limitations due to the technological regulations:

Constraints (6) the objective function (5) can be written as follows:

Found the block 19 by the formula (7)will be the true content of dry substances in the massecuite fed to the mixer. The accuracy of the calculation is determined by the accuracy of the sensors 9, 10 and accuracy according to (2). The error of an algorithm implementing the method of Hooke-Jeeves, is usually not more than 10-5...10-6.

On the basis of material balance, the density of the prepared diluted massecuite at the output of mixer ρcmcan be defined as follows:

where Qy, QB- volume flow in the respective mixer is about massecuite and water.

In the formula (8), the unknown parameters are the volume flow of massecuite Qyand density of diluted massecuite ρcm. If measured by the laboratory density of the massecuite mixerwhen steady state from the formula (8) can be calculated volume flow of massecuite Qy:

On the other hand the volume flow of massecuite is determined based on the measured sensor 18 active electric power of N consumed by the electric drive of the pump 1. For this we use the formula (Pavlov CYP, Romankov p. g, Socks, A.A. Examples and problems at the rate of the processes and apparatuses of chemical technology. - M.: Chemistry, 1969, 624 S., p.28, formula 1-32):

where ΔPWith- the hydraulic resistance of the network, N/m2;

η - efficiency massequite pump unit.

Value ΔPWithcalculated as the sum of the following terms ΔPWith=ΔPSC+ΔPTr+ΔPMS+ΔPunder+ΔPSS,

ΔPSC- the cost of pressure to create flow velocity, N/m2;

ΔPTr- loss of pressure to overcome the resistance of friction, N/m2;

ΔPMS- pressure loss at overcoming local resistance, N/m2;

ΔPunder- particularly the s pressure rise of the fluid, N/m2;

ΔPSS- loss due to the difference of the pressures in the spaces of the suction and discharge side of the pump, N/m2.

Loss of pressure on the friction of the massecuite can be defined by the formula Hagen-Poiseuille flow (Pavlov CYP, Romankov p. g, Socks, A.A. Examples and problems at the rate of the processes and apparatuses of chemical technology. - M.: Chemistry, 1969, 624 S., p.30, formula (1-40)):

where L is the length massequite pipeline, m;

d - internal diameter, m;

ω - speed laminar flow, m/s;

μYthe viscosity of the massecuite, PA·C.

Butandthen we get:

where Re is the Reynolds criterion.

Loss of pressure on the rise of the massecuite is

Cost pressure to create flow velocity is expressed by the formula:

Loss ΔPMSand ΔPSSnot be more than 5...10% of all pressure losses.

The average value of the criterion when you're pumping massecuite is about 1. The error in the calculation of pressure losses by friction under the assumption that Re≈1, also is not more than 5...10%. Let us assume that the unaccounted-for pressure, as well as the error in the calculation of pressure losses by friction, form part of the total pteridine Δ PSC+ΔPTr+ΔPundercalculated by the formula(12), (13), (14).

Then the hydraulic resistance of the network is equal to:

where a is a coefficient less than 1.

Taking into account (15) active electric power will be equal to:

where the constant

We substitute (9) into (16) and get

where

How easy is defined As:

where [K] - step adjustment of model (17), depending on the frequency of laboratory monitoring density.

Thus, on the basis of laboratory analysis in [K] the step of adjusting the density of the diluted massecuiteand automatically measured the corresponding values of water consumption, differential pressure post massecuiteelectric power of N[K], water temperature(needed to calculate the water density according to the formula (3)), unit 19 calculates the parameter And[K]according to the formula (18).

Considering And[K]the dependence of active power from the volumetric flow of massecuite will be:

where [n]is the current step of measuring and control.

The solution of equation (19), in which the unknown is the volume flow of massecuiteblock 19 performs the method of Hooke-Jeeves. For this, we first compiled function:

With the technological constraints onthe objective function f takes the form:

The solution of (21) is determined by the current value of the flow of massecuite.

Calculating the current value of the flow of massecuitethe unit 19 determines for a given value of the density of the finished massecuitethe required water flow in the mixer:

The job controller 12 water consumption is calculated by the block 19 by the formula:

whereis the task of the regulator 12, calculated on the last (n-1) step control. In the first step, it is equal to the measured value of the water flow.

- measured by the sensor 11 on the current [n] step flow value in the mixer.

The current job to control water flow calculated by the formula (23), remember, is converted into a control signal and is supplied from the output unit 19 in Cham is the job of the regulator 12. Stored value task is used in the formula (23) in the next step as the value of the last job step control.

The definition of the parameter a is performed by adjustment of the present invention. During operation when performing only routine laboratory tests the density of the diluted massecuite may be the adjustment of the values of this coefficient. The formula for the adjustment is as follows:

whereis calculated by the formula (18) on [To] the step of adjusting the value of the coefficient A;

- smooth on [To] the step value of the coefficient a;

α - smoothing coefficient, determined experimentally in the range of 0.5≤α≤1.

The proposed method allows to reliably zastabilizirovat at a given value of the density of the prepared diluted massecuite at the exit of the mixer, as the formula (19) is uniquely associates the volume flow of massecuite and the active electric power consumed by the electric drive massequite pump, and the density of the massecuite and water are calculated automatically.

The DM contentcmat the output of the mixer is calculated by the block 19 by the formula:

where GCBWithy, GBmass costs relevant to the military solids, the massecuite and water in the mixer, kg/s, is equal to:

where CByvalue of dry substance concentration calculated by the formula (7).

Method for automatic control and management of the preparation process of the massecuite to crystallization by cooling is illustrated by the following examples.

Example 1. The calculation of the job flow regulator water

The design parameters of the control system that implements the method, is equal to: Hy=14.2 m; L=22.5 m; d=0,158 m Then the structural coefficient, defined by the formula (16), equal to:

Measured by the laboratory density of the prepared diluted massecuite. Corresponding to this density measured parameter values equal to:

ΔPY=205000 N/m2(sensor 9);

QIn=0.25 m3/h=6,9444·10-5m3(sensor 11);

tIn=72°With (sensor 17);

N=988 W (18 gauge).

Calculated by the formula (3) density of water is equal to: ρIn=976,93 kg/m3(based on information from the sensor 7). The density of the massecuite, defined by the formula (4), is equal to: ρy=1471,62 kg/m3(based on information from the sensor 9).

According to the formula (18) defined by the configuration parameter:

Measured in [n] step control parameter values were equal to:

=206200 H/m2;

=0,37 m3/h=1,028·10-4m3/s;

=73°C;

N[n]=1090 watts.

Then(formula 4).

=976,33 kg/m3(formula 3).

Prepare the cubic equation (19)

1090=(85191,547·+)·206200·2,463 or

85191,547+-0,0021462=0.

Deciding composed of a cubic equation in terms of restrictions=7.5 m3/h=2,083·10-3m3/s;=4.5 m3/h=1,25·10-3m3/s, get=1,715833 m3/s=6,177 m3/hour.

Thus, the current volume flow of massecuite, calculated on a [n] step equal to=6,177 m3/hour.

Suppose that a job density of the finished diluted massecuite is. By the formula (22) we define the task flow of water:

.

If, for examplethen=0,394 m2/hour.

Thus, the change in job density of the diluted massecuite only 10 kg/m3the Veda is to change the job of water flow on 0,142 m 3per hour or 25% of the original task, i.e. the sensitivity of the regulation on the channel density of the diluted massecuite flow of water is very high. This explains the poor quality of the regulation of the density of the diluted massecuite in the prototype, which is carried out according to the specified ratio of the massecuite:water.

Suppose the value of the job to the controller 12, calculated by the block 19 in the past [n-1] step equations, it is=0.38 m3/hour. Then the current value set the controller 12 (formula 23) is equal to,=0,38+(0,536-0,37)=0,546 m3per hour, and when,=0,38+(0,594-0,37)=0,604 m3/hour.

Example 2. The calculation of the concentration of solids

To calculate the dry matter content of at the entrance to the mixer using the formula (2). The current density of the massecuite is=1480,24 kg/m3the temperature of the massecuite=69°C. According to the regulations=96,5%,=90%. Make the target function according to the formula (7)

the solution is=94,174%.

The consumption of dry matter equal to

Find the mass spending the odes and massecuite:

.

Then by the formula (25):

.

Thus, the concentration of the army in the inlet and outlet of the mixer are respectively 94,17% and 90,59%.

Experimental verification of the proposed method for automatic process control training of massecuite to crystallization by cooling showed its high effectiveness and efficiency (figure 2). The average purity microcannula solution of massecuite at the output of the vertical mold decreases with 54,24% (when controlling for known way) to 54.0% (when controlling for the proposed method) (figb.).

Implementation of the functional block 19 is carried out using computer equipment. As the primary measuring transducers can be used:

- intelligent sensors differential pressure Metran-100-DD, measurement error ±0,1%;

- resistance copper SCI Metran-204 (100M) with measurement error ±0,25+0,0035(t) %;

- rhodometra Metran-360 error ±0,5%;

- wattmeter TS-201.

Using the proposed method makes it possible, compared with prototype:

- to reduce the loss of sugar with molasses due to better stabilization of the density of the massecuite at the output of the mixer;

- automatiser is to control the concentration of solids in the massecuite inlet and outlet of the mixer.

Method for automatic control and management of the preparation process of the massecuite to crystallization by cooling, providing for the regulation of the volume flow of water into the mixer and level of massecuite in it, the regulation level of the massecuite in a vertical mould by affecting variable frequency drive massequite pump, including periodic laboratory monitoring of the density of the finished massecuite at the exit of the mixer, characterized in that it further measure active electric power consumed by the electric drive massequite pump, temperature and pressure massecuite entering the mixer, the water temperature at the inlet to the mixer, calculate the density of water at its temperature and density of the massecuite by its pressure drop, calculate the volume flow of massecuite entering the mixer, the measured volumetric water flow rate, the calculated values of water density and massecuite and laboratory measured density of the finished massecuite, determine the dependency ratios of the active electric power from the volumetric flow of massecuite and the differential pressure

N=α1Q3yΔPy2QyΔPy,

where N is the active electrical power;

Qy- volume flow of massecuite in the mixer;

α1that α2are coefficients

and use this relationship for the subsequent calculation of the volume flow of massecuite only on the measured values of active electric power and pressure drop of the massecuite, determine the current setting of the slider of the volume flow of water based on the measured values of the flow rate, the calculated values of the density of the massecuite, the water and the volumetric flow of massecuite, the set value of the density of the finished massecuite and set the regulator calculated at the previous step control, control the content of dry substances in the source massecuite on its density and temperature, in the finished massecuite volume costs and density of the source of the massecuite and the water and the solids content in the source massecuite.

 

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