Model and parameter determination method and device based on operation parameters, storage medium and electronic equipment

Abstract

The invention relates to a model and parameter determination method and device based on operation parameters, a storage medium and electronic equipment. The method comprises the steps that a target modeling range is determined; establishing a control object transfer function model and a control system transfer function model; performing validity verification on the control object transfer function model and the control system transfer function model according to set verification parameters; correcting the control object transfer function model and the control system transfer function model according to field measured data to obtain a target transfer function model of the control object and the control system; performing parameter optimization and debugging method selection based on the target transfer function model of the control object and the control system to obtain a target parameter and a target debugging method; and determining a setting parameter and control logic based on the target parameter and the target debugging method. Effective quantitative parameters can be provided, the test frequency is reduced, the debugging period is shortened, and the problem that an existing method is large in modeling range is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power plant control systems, and more specifically, to a model based on operating parameters and a parameter determination method, device, storage medium and electronic equipment. Background Art

[0002] The control systems of existing nuclear power plants are complex, and the rationality of most important adjustment parameter settings needs to be verified through commissioning experiments during the cold and hot tests of the power plant. If the parameter design is found to be unreasonable through experiments, especially the parameter commissioning of atypical PID (with multiple parameter corrections, multi-factor feedforward and compensation, etc.), it is impossible to locate the key parameter influence and set reasonable parameters through one test, and multiple tests are required. This process needs to be combined with the commissioning window, unit status, etc., which will add a lot of work to the commissioning personnel. At the same time, multiple frequent tests will also cause irreversible impacts on the equipment. There are also problems with parameter setting in the subsequent operation and maintenance of the power plant, and tests can only be carried out through the overhaul key window.

[0003] At present, on-site commissioning and power plant operation and maintenance personnel judge that the control logic or setting parameters are unreasonable based on the test parameters or operating parameters during the commissioning of the power station system, and can be optimized. However, this method can only be purely theoretical and qualitative, and cannot give quantitative parameters. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a model based on operating parameters and a parameter determination method, device, storage medium and electronic device in view of the problems existing in the prior art.

[0005] The technical solution adopted by the present invention to solve its technical problems is: constructing a model based on operating parameters and a parameter determination method, comprising the following steps: determining a target modeling range; establishing a control object transfer function model based on the target modeling range and in combination with a steady-state operating condition point and design parameters; establishing a control system transfer function model according to a control logic diagram and the operating parameters of the steady-state operating condition point; verifying the effectiveness of the control object transfer function model and the control system transfer function model according to set verification parameters; correcting the control object transfer function model and the control system transfer function model according to field measured data to obtain a target transfer function model of the control object and a target transfer function model of the control system; performing parameter optimization and debugging method selection based on the target transfer function model of the control object and the target transfer function model of the control system to obtain target parameters and a target debugging method; determining setting parameters and control logic based on the target parameters and the target debugging method.

[0006] Wherein, determining the target modeling scope includes: acquiring flow chart information, control measurement information and equipment structure information; and determining the target modeling scope according to the flow chart information, the control measurement information and the equipment structure information.

[0007] Among them, establishing the control object transfer function model based on the target modeling range and in combination with the steady-state operating condition points and design parameters includes: obtaining the steady-state operating condition points and design parameters; dividing the control body based on the target modeling range and the steady-state operating condition points and design parameters; modeling according to the divided control body to obtain the control object transfer function model.

[0008] Among them, establishing the control system transfer function model according to the control logic diagram and the operating parameters of the steady-state operating condition point includes: obtaining the control logic diagram; obtaining the operating parameters of the steady-state operating condition point; modeling according to the control logic diagram and the operating parameters of the steady-state operating condition point to obtain the control system transfer function model.

[0009] Among them, the validity verification of the control object transfer function model and the control system transfer function model according to the set verification parameters includes: obtaining the set verification parameters; verifying the control object transfer function model and the control system transfer function model through the set verification parameters to obtain verification results; judging whether the control object transfer function model and the control system transfer function model are valid according to the verification results; if valid, saving the control object transfer function model and the control system transfer function model; if invalid, adjusting the parameters and remodeling according to the adjusted parameters until the validity is met.

[0010] Among them, the method of correcting the control object transfer function model and the control system transfer function model according to the field measured data to obtain the target transfer function model of the control object and the target transfer function model of the control system includes: verifying according to the field measured data to determine the adjustment plan of the control object and the control system; correcting and identifying the control object transfer function model and the control system transfer function model according to the adjustment plan of the control object and the control system to obtain the target transfer function model of the control object and the target transfer function model of the control system.

[0011] Among them, the identification based on the field measured data to determine the adjustment plan of the control object and the control system includes: verifying the control system transfer function model based on the field measured data to obtain the verification result of the control system transfer function model; verifying the control object transfer function model based on the field measured data to obtain the verification result of the control object transfer function model; analyzing the verification result of the control system transfer function model and the verification result of the control object transfer function model to determine the adjustment plan of the control object and the control system.

[0012] The present invention also provides a model based on operating parameters and a parameter determination device, comprising:

[0013] A modeling scope determination unit is used to determine a target modeling scope; a control object modeling unit is used to establish a control object transfer function model based on the target modeling scope and in combination with a steady-state operating condition point and design parameters; a control system modeling unit is used to establish a control system transfer function model according to a control logic diagram and operating parameters of a steady-state operating condition point; a model verification unit is used to verify the validity of the control object transfer function model and the control system transfer function model according to set verification parameters; a model identification unit is used to correct the control object transfer function model and the control system transfer function model according to field measured data to obtain a target transfer function model of the control object and a target transfer function model of the control system; a selection unit is used to perform parameter optimization and debugging method selection based on the target transfer function model of the control object and the target transfer function model of the control system to obtain target parameters and a target debugging method; a parameter and logic determination unit is used to determine setting parameters and control logic based on the target parameters and the target debugging method.

[0014] The present invention also provides a storage medium storing a computer program, wherein the computer program is suitable for being loaded by a processor to execute the steps of the model and parameter determination method based on operating parameters as described above.

[0015] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the above-mentioned method for determining a model and parameters based on operating parameters by calling the computer program stored in the memory.

[0016] The implementation of the operating parameter-based model and parameter determination method, device, storage medium and electronic device of the present invention has the following beneficial effects: the present invention can provide effective quantitative parameters, reduce the number of tests, save debugging time, and solve the problem of large modeling range of existing methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0018] Figure 1 It is a flow chart of a model based on operating parameters and a parameter determination method provided by the present invention;

[0019] Figure 2 It is a structural schematic diagram of the target modeling scope provided by the present invention;

[0020] Figure 3 It is a structural diagram of a heat exchanger provided by the present invention;

[0021] Figure 4 It is a schematic diagram of the division of the heat exchanger control body provided by the present invention;

[0022] Figure 5 It is a control logic diagram provided by the present invention;

[0023] Figure 6 It is a schematic diagram of the target transfer function model of the control object and the target transfer function model of the control system provided by the present invention;

[0024] Figure 7 to Figure 18 It is a schematic diagram of verification results of different adjustment schemes provided by the present invention;

[0025] Figure 19 to Figure 43 It is a test result diagram of parameter optimization and debugging method selection provided by the present invention;

[0026] Fig.44 It is a principle block diagram of a model based on operating parameters and a parameter determination device provided by the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] In order to solve the problems that only qualitative analysis conclusions can be given in the existing debugging or operation and maintenance process, and effective parameters with theoretical support cannot be given, and the modeling scope is large, the present invention provides a model based on operating parameters and a parameter determination method. The method can provide effective parameters with theoretical support, locate the main key influencing parameters of the multi-parameter adjustment system, reduce the number of experiments, save debugging time, and significantly narrow the modeling scope, solving the problems that the existing control models and methods have a large modeling scope and the theoretical high-order models cannot be directly applied to engineering transformation.

[0029] Specifically, refer to Figure 1 , Figure 1 The following is a flow chart of a preferred embodiment of the model and parameter determination method based on operating parameters provided by the present invention. Figure 1 As shown, the model and parameter determination method based on operating parameters include the following steps:

[0030] Step S101: Determine the target modeling scope.

[0031] In an embodiment of the present invention, determining the target modeling range includes: obtaining flowchart information, control measurement information, and device structure information; determining the target modeling range based on the flowchart information, control measurement information, and device structure information. Specifically, by analyzing the flowchart information, control measurement information, and device structure information, the minimum correlation range can be determined, and then the target modeling range can be determined. That is, the present invention can perform a modeling method based on relevant parameters, and only needs to select the minimum correlation range for the controlled quantity to establish the model. In a specific embodiment, Figure 2 As shown in the figure, the green dotted box is the target modeling range.

[0032] Step S102: Establishing a control object transfer function model based on the target modeling range and in combination with the steady-state operating condition point and design parameters.

[0033] In the embodiment of the present invention, based on the target modeling range and in combination with the steady-state operating condition point and design parameters, establishing the control object transfer function model includes: obtaining the steady-state operating condition point and design parameters; dividing the control body based on the target modeling range and the steady-state operating condition point and design parameters; modeling according to the divided control body to obtain the control object transfer function model. Specifically, Figure 2 Take the example of as an example, after determining the minimum modeling range (i.e. the target modeling range), on the basis of the target modeling range, first determine the controlled parameter (the set value of the downstream temperature) 50℃), then determine the actuator RCV1237VN / 1247VN, two-stage heat exchange: regenerative heat exchanger RCV6220EX, downstream heat exchanger RCV1230 / 1240EX; based on the above structure and related operating parameters, establish the control object transfer function. Among them, the structure of the heat exchanger is as follows Figure 3 The operating parameters and design parameters are shown in Tables 1 to 3 below.

[0034] Table 1: Regenerative heat exchanger operating parameters

[0035]

[0036] Table 2 Downflow heat exchanger operating parameters

[0037]

[0038] Table 3. Heat release temperature modeling parameters

[0039]

[0040]

[0041] According to the specific structure and working mechanism of the regenerative heat exchanger, the control body is divided into Figure 4 To improve the accuracy of the heat transfer model, the fluid on the downflow pipe side is divided into 20 control bodies, which are named as follows:

[0042] RS1 to RS20. Correspondingly, the upper filling shell side and the heat exchange tube wall are divided into 20 control bodies, of which the upper filling shell side has 20, including control bodies RP1 (corresponding to the lower discharge tube side RS1) to RP20 (corresponding to the lower discharge tube side RS20), and the heat exchange tube wall includes 20 control bodies, namely RM1 (corresponding to the lower discharge tube side RS1) to RM20 (corresponding to the lower discharge tube side RS20). The lower discharge flow is drawn out from the cold section of the primary loop system, and enters the regenerative heat exchanger control body RS1 through the lower discharge pipe S1. After heat exchange, the lower discharge flow is diverted from the outlet of the control body RS20 through the lower discharge pipe S2 and enters the non-regenerative heat exchanger; the upper filling flow passes through the upper filling pump and the upper filling flow regulating valve, and enters the regenerative heat exchanger control body RP20 through the upper filling pipe P1. After heat exchange, the upper filling flow enters the primary loop system from the outlet of the control body RP1 through the upper filling pipe P2.

[0043] Step S103: Establishing a control system transfer function model according to the control logic diagram and the operating parameters of the steady-state operating condition point.

[0044] In the embodiment of the present invention, according to the control logic diagram and the operating parameters of the steady-state operating condition point, establishing the control system transfer function model includes: obtaining the control logic diagram; obtaining the operating parameters of the steady-state operating condition point; modeling according to the control logic diagram and the operating parameters of the steady-state operating condition point to obtain the control system transfer function model. Specifically, in the embodiment of the present invention, based on the existing control logic diagram, combined with the operating parameters of the steady-state operating condition point, that is, Figure 5 The relevant parameters shown in are modeled to obtain the control system transfer function model.

[0045] Step S104: verifying the validity of the control object transfer function model and the control system transfer function model according to the set verification parameters.

[0046] In an embodiment of the present invention, verifying the validity of the control object transfer function model and the control system transfer function model according to the set verification parameters includes: obtaining the set verification parameters; verifying the control object transfer function model and the control system transfer function model by setting the verification parameters to obtain the verification results; judging whether the control object transfer function model and the control system transfer function model are valid according to the verification results; if valid, saving the control object transfer function model and the control system transfer function model; if invalid, adjusting the parameters and remodeling according to the adjusted parameters until the validity is satisfied. Optionally, in an embodiment of the present invention, the set verification parameters can be set according to the actual object and system, for example, the flow, step, etc. can be set to verify the established model, that is, the set parameters are respectively input into the control object transfer function model and the control system transfer function model, and then judging whether they are valid according to the output results, wherein whether they are valid needs to be judged according to the actual needs of the object and the system.

[0047] Step S105: modifying the control object transfer function model and the control system transfer function model according to the field measured data to obtain the target transfer function model of the control object and the target transfer function model of the control system.

[0048] In the embodiment of the present invention, the target transfer function model of the control object and the control system is obtained as follows: Figure 6 As shown. Specifically, the control object transfer function model and the control system transfer function model are corrected according to the field measured data to obtain the target transfer function model of the control object and the target transfer function model of the control system, including: verifying according to the field measured data to determine the adjustment plan of the control object and the control system; correcting and identifying the control object transfer function model and the control system transfer function model according to the adjustment plan of the control object and the control system to obtain the target transfer function model of the control object and the target transfer function model of the control system. Among them, the identification according to the field measured data to determine the adjustment plan of the control object and the control system includes: verifying the control system transfer function model according to the field measured data to obtain the verification result of the control system transfer function model; verifying the control object transfer function model according to the field measured data to obtain the verification result of the control object transfer function model; analyzing the verification result of the control system transfer function model and the verification result of the control object transfer function model to determine the adjustment plan of the control object and the control system.

[0049] Step S106: Parameter optimization and debugging method selection are performed based on the target transfer function model of the controlled object and the target transfer function model of the control system to obtain target parameters and target debugging method.

[0050] Specifically, Figure 6As shown, the target transfer function model of the controlled object includes: cooling water regulating valve, cooling water management and downstream heat exchanger. The target transfer function model of the control system includes: PI controller and temperature measurement module. The input of the target transfer function model of the control system is the deviation between the downstream temperature setting value (50°C) and the actual temperature measured by the temperature measurement module, and the output of the target transfer function model of the control system is the valve position demand value. The input of the target transfer function model of the controlled object is the output of the target transfer function model of the control system, that is, the valve position demand value, and the output of the target transfer function model of the controlled object is the downstream temperature, which can be measured by the temperature measurement module. Specifically, as Figure 6 As shown, first, the hysteresis between the on-site PI controller output and the downstream temperature is analyzed. After analysis, it can be found that the on-site PI controller output has a lag of about 30s to the downstream temperature. Secondly, the hysteresis between the on-site cooling water flow and the downstream temperature is analyzed. After analysis, it can be found that the change in the downstream temperature has a lag of about 80s to the change in the cooling water flow. In order to simulate the oscillation of the on-site downstream temperature, the control system and the control object are analyzed. In the simulink model, for the control system, the downstream temperature is simulated as a sine wave with a period of 240s and an amplitude of 2.5. The delay and Figure 1 For pipeline and downstream heat exchanger objects, the cooling water flow is simulated as a sine wave with a period of 240s and an amplitude of 1. The delay of the downstream temperature curve and the PI controller output valve position demand value in the model are compared with the measured delay, and the delay in the model is made consistent with the delay reflected in the field diagram by adding appropriate pure lag links and first-order inertia links at appropriate positions in the PI controller and control object in the simulink model. Based on the above principles, a total of 8 adjustment schemes were determined. The specific schemes are as follows, among which schemes 6 to 8 take into account the response time of the downstream temperature measurement.

[0051]

[0052]

[0053] Specifically, for the adjustment of the model:

[0054] 1. Adjust the PI controller:

[0055] There is a 30-second delay in the actual temperature measurement value for the control system output valve position requirement. Therefore, it is necessary to add a first-order inertia link or a pure lag link to the control system in the Simulink model to simulate the on-site situation.

[0056] Solution 1: Add a first-order inertia link with a time constant of 15s before the "PI controller". The comparison curve between the discharge temperature and the PI controller output is as follows: Figure 7 As shown in the figure, the blue is the discharge temperature and the red is the valve position requirement output by the PI controller. The delay is 30s, which is consistent with the delay shown in the on-site diagram. Connect the adjusted control system with the unadjusted control object model, and the steady-state curve of the discharge temperature is as follows: Figure 8 As shown. The fluctuation of the discharge temperature cannot be reproduced. Solution 2: Add a pure hysteresis of 15s before the "PI controller". The comparison curve of the discharge temperature and the valve position demand output by the PI controller is as follows Figure 8 As shown in the figure, the blue is the discharge temperature and the red is the controller output valve position requirement. The delay is 30s, which is consistent with the delay shown in the provided on-site diagram. Connect the adjusted control system to the unadjusted control object model, and the steady state is as follows Fig. 9 Therefore, adjusting the PI controller alone cannot reproduce the downstream temperature fluctuation, as shown in Fig.10 shown.

[0057] 2. Adjustment of the control object:

[0058] Fig.11 The valve position input cycle of the cooling water flow control valve is 240s, the amplitude is a 4% sine wave, and the response curve of the downstream temperature (blue is the valve position curve, red is the downstream temperature curve). The valve position input cycle is 240s, the amplitude is a 4% sine wave, and the downstream temperature change has a lag of about 40s to the valve position change. In contrast, there is a lag of nearly 80s from the change in cooling water flow to the change in downstream temperature on site. Therefore, it is necessary to add a first-order inertia link or a pure lag link to the object to simulate the on-site situation. Scheme 3: Add a first-order inertia link with a time constant of 50s and a pure lag of 8s to the flow change in the cooling water pipeline, and connect it to the control system adjusted according to Scheme 2. The steady-state curve of the downstream temperature is as follows Fig.12 As shown. The period is about 200s, the amplitude gradually expands and tends to diverge. Solution 4: Add a first-order inertia link with a time constant of 50s and a pure lag of 8s to the flow change in the cooling water pipeline. Make the lag reflected in the simulink model and the field diagram correspond. Fig.13 After adding the control system adjusted according to Scheme 1, the steady-state output of the downstream temperature is as follows: Fig.14 As shown, the oscillation period is about 220s, and the effect is close to the on-site discharge temperature oscillation. Adjustments will continue on this basis.

[0059] 3. Adjust the control object based on Scheme 4.

[0060] After multiple tests of adjusting the time constant of the first-order inertia link, it was found that increasing the time constant of the first-order inertia link of the object would lengthen the oscillation period of the downstream temperature in the steady state. And if only the first-order inertia link is considered without adding a pure lag link, the downstream temperature will not oscillate. Only by adding a suitable pure lag can the downstream temperature oscillate. Solution 5: Add a first-order inertia link with a time constant of 15s before the "PI controller", and add a first-order inertia link with a time constant of 60s and a pure lag of 8s to the flow change in the cooling water pipeline. Fig.15 As shown in the figure, the steady-state oscillation period of the downstream temperature is about 240s, which is similar to the actual situation.

[0061] 4. Consider the temperature measurement point response time:

[0062] Solution 6: After verification, it is found that the response time of the temperature measuring instrument is 21s. Therefore, based on Solution 5, it is necessary to add a first-order inertia link with a time constant of 21s to the "temperature measurement module". Fig.16 As shown, the oscillation period is about 320s and the amplitude is about 25. Solution 7: Consider removing the pure lag link for testing. Add a first-order inertia link with a time constant of 15s before the "PI controller", add a first-order inertia link with a time constant of 21s to the "temperature measurement module", and add a first-order inertia link with a time constant of 60s between the "cooling water pipeline" and the "downstream heat exchanger". The steady-state downstream temperature curve is as follows Fig.17 As shown, the oscillation period is about 250s and the amplitude is too large. Solution 8: By analyzing the closed-loop transfer function of the system, assume that the PI controller transfer function is P 1 (s), the cooling water regulating valve transfer function is P 2 (s), the cooling water pipeline transfer function is P 3 (s), the transfer function of the downstream heat exchanger is P 4 (s), the temperature measurement module transfer function is H(s).

[0063] In scheme 5, the on-site situation has been basically reproduced, and the closed-loop transfer function of the system at this time can be expressed as:

[0064]

[0065] After adding a first-order inertia link with a time constant of 21s to the "temperature measurement module", the closed-loop transfer function of the system becomes:

[0066]

[0067] If the new transfer function needs to keep the period and amplitude of oscillation basically consistent with the original transfer function, it is necessary to adjust the first-order inertia link and pure lag link added in Scheme 5. Since the control system is no longer adjusted, only the first-order inertia link added to the object and pure hysteresis e -8s Adjust. Since the oscillation period is consistent when the poles of the two transfer functions are consistent, it is only necessary to ensure that the denominators of the two transfer functions are consistent. To make the denominators of the two transfer functions consistent, it is only necessary to change the first-order inertia link Modified to Therefore, Solution 8 is: add a first-order inertia link with a time constant of 15s before the "PI controller", add a first-order inertia link with a time constant of 21s to the "temperature measurement module", and add a and a pure lag of 8s. The steady-state curve of the downstream temperature is as follows Fig.18 shown.

[0068] Furthermore, in order to obtain the best solution, logic optimization and effect comparison can be performed, as follows:

[0069] Adjustment scheme 1: Add a lead / lag link after the temperature measurement module, and τ 1 >τ 2 , plays a leading role, making the PI controller respond ahead to overcome the problem of system lag.

[0070] 1. Lead / lag link Remove the cooling water feedforward effect (tests show that the cooling water flow feedforward has a negative gain on the control effect).

[0071] (1) 4000s introduces a discharge flow slope of +10% (0.735kg / s disturbance). The discharge temperature response curve is as follows: Fig.19 As shown. Fig.19 It can be seen that there is a steady state error due to the 1% regulation deadband of the valve. Fig. 20 is the valve position demand value output by the PI controller. The valve position curve is as follows: Fig.21 The downstream flow feedforward signal is as shown in Fig. 22 As shown in the figure, it can be seen that the downstream flow feedforward signal has little effect on the control. The inlet temperature feedforward signal is as follows Fig.23 As shown. Fig.23 It can be seen that the inlet temperature feedforward signal has little effect on the control. Fig.24 As shown. Fig.24 It can be seen that feedback plays a major role. (2) According to the field diagram, the following disturbance is introduced (such as Fig.25 The downstream flow rate first decreases by 10% and then rises to the original steady-state value. The downstream temperature response is as follows: Fig.26 shown.

[0072] 2. Lead / lag link Add cooling water flow feedforward signal. The downstream temperature oscillates with a period of about 160s. Fig. 27 shown.

[0073] Cooling water flow feedforward signal Fig.28 As shown (to keep the valve adjusted). The feedback signal is as follows Fig.29 As shown. Fig.28 and Fig.29 It can be seen that the oscillation amplitude of the feedforward signal is similar to that of the feedback signal, which affects the control effect.

[0074] 3. Reduce the time constant of the lag link, the lead / lag link Add cooling water flow feedforward term. The downstream flow response curve is as follows: Fig.30 As shown in the figure, after removing the cooling water flow feedforward term, the downstream temperature response is as follows: Fig.31 As shown, the cooling water feedforward signal is Fig.32 As shown, the feedback signal is Fig.33 As shown, the valve curve is as follows Fig.34 shown.

[0075] 4. Increase the molecular constant, lead / lag link Add cooling water flow feedforward term. The downstream temperature response is as follows: Fig.35 As shown in the figure, after removing the cooling water flow feedforward term, the downstream temperature response is as follows: Fig.36 As shown, the cooling water flow feedforward signal is as follows Fig.37 As shown, the feedback signal is Fig.38 As shown, the valve curve is as follows Fig.39 As shown. According to the site map, introduce Fig.40 The downstream temperature response curve is shown in Fig.41 As shown, the cooling water flow feedforward signal is as follows Fig.42 As shown, the feedback signal is Fig.43 As shown. It can be determined that the feedforward effect of cooling water flow has a negative effect on system regulation. Since there is a certain lag in regulating the downstream temperature by changing the cooling water flow, the cooling water flow feedforward item immediately sends a reverse regulation signal to the valve after the cooling water flow changes, which affects the control effect.

[0076] Based on the above analysis, the target parameters and target debugging methods can be obtained as follows:

[0077] By identifying the on-site problem diagram, the delays of the on-site control system and the control object are obtained, and appropriate first-order inertia links and pure lag links are added to the simulink model to make the delay in the model correspond to the on-site. After connecting the control system and the control object, the on-site temperature oscillation can be roughly simulated, and the first-order inertia link and pure lag link are further adjusted to keep the amplitude of the temperature at 2-3℃ and the oscillation period at about 240s. Secondly, considering that the temperature measuring instrument has a response time of 21s, a first-order inertia link with a time constant of 21s is added to the "temperature measurement module" of the simulink model. Through the analysis of the closed-loop transfer function of the system, the inertia link added to the control object is adjusted so that the temperature at the downstream can still maintain an amplitude of 2-3℃ and an oscillation period of 240s. Among them, the target parameters are: the amplitude of the temperature at the downstream is maintained at 2-3℃, and the oscillation period is about 240s. Target debugging method: Add appropriate first-order inertia links and pure lag links to the Simulink model to make the delay in the model correspond to the field. At the same time, considering that the temperature measuring instrument has a response time of 21s, a first-order inertia link with a time constant of 21s is added to the "temperature measurement module" of the Simulink model.

[0078] Step S107: Determine the setting parameters and control logic based on the target parameters and the target debugging method.

[0079] Specifically, the setting parameters are the specific values ​​of the three parameters P (proportional), I (integral), and D (differential) of the PI controller in actual engineering applications. After determining the target parameters in step S106, the values ​​of the three adjustment parameters P, I, and D of the PI controller can be determined according to the target parameters, thereby obtaining the setting parameters. At the same time, the corresponding control logic can be determined according to the target debugging method obtained above.

[0080] refer to Fig.44 , Fig.44 The model based on the operating parameters and the parameter determination device provided by the present invention, such as Fig.44 As shown, the model based on the operating parameters and the parameter determination device include:

[0081] The modeling range determination unit 401 is used to determine the target modeling range. The control object modeling unit 402 is used to establish the control object transfer function model based on the target modeling range and in combination with the steady-state operating condition point and the design parameters. The control system modeling unit 403 is used to establish the control system transfer function model according to the control logic diagram and the operating parameters of the steady-state operating condition point. The model verification unit 404 is used to verify the validity of the control object transfer function model and the control system transfer function model according to the set verification parameters. The model identification unit 405 is used to correct the control object transfer function model and the control system transfer function model according to the field measured data to obtain the target transfer function model of the control object and the target transfer function model of the control system. The selection unit 406 is used to optimize the parameters and select the debugging method based on the target transfer function model of the control object and the target transfer function model of the control system to obtain the target parameters and the target debugging method. The parameter and logic determination unit 407 is used to determine the setting parameters and control logic based on the target parameters and the target debugging method. Specifically, the specific coordination operation process between the units in the model based on operating parameters and the parameter determination device here can refer to the above-mentioned model based on operating parameters and the parameter determination method, which will not be repeated here.

[0082] In addition, an electronic device of the present invention includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program to implement a model and parameter determination method based on operating parameters as described in any one of the above. Specifically, according to an embodiment of the present invention, the process described with reference to the flowchart above can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed by an electronic device and executed to perform the above functions defined in the method of the embodiment of the present invention. The electronic device in the present invention can be a terminal such as a notebook, a desktop, a tablet computer, a smart phone, or a server.

[0083] In addition, a storage medium of the present invention stores a computer program thereon, and when the computer program is executed by a processor, any of the above models and parameter determination methods based on operating parameters is implemented. Specifically, it should be noted that the above storage medium of the present invention can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. In the present invention, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0084] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0085] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0086] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0087] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0088] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with the technology to understand the content of the present invention and implement it accordingly, and they cannot limit the scope of protection of the present invention. All equivalent changes and modifications made to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A model based on operating parameters and a parameter determination method, characterized in that: The following steps are involved: Determine the target modeling scope; Based on the target modeling range and in combination with the steady-state operating condition point and design parameters, a control object transfer function model is established; According to the control logic diagram and the operating parameters of the steady-state operating condition point, the control system transfer function model is established; Performing validity verification on the control object transfer function model and the control system transfer function model according to set verification parameters; Correcting the control object transfer function model and the control system transfer function model according to the field measured data to obtain the control object target transfer function model and the control system target transfer function model; Optimize parameters and select a debugging method based on the target transfer function model of the controlled object and the target transfer function model of the control system to obtain target parameters and a target debugging method; Based on the target parameters and the target debugging method, tuning parameters and control logic are determined.

2. The model and parameter determination method based on operating parameters according to claim 1, characterized in that: The determining of the target modeling scope includes: acquiring flow chart information, control measurement information and equipment structure information; and determining the target modeling scope according to the flow chart information, the control measurement information and the equipment structure information.

3. The model and parameter determination method based on operating parameters according to claim 1, characterized in that: The method of establishing a control object transfer function model based on the target modeling range and in combination with steady-state operating conditions and design parameters includes: obtaining steady-state operating conditions and design parameters; dividing the control body based on the target modeling range and the steady-state operating conditions and design parameters; and modeling according to the divided control body to obtain the control object transfer function model.

4. The model and parameter determination method based on operating parameters according to claim 1, characterized in that: The establishing of the control system transfer function model according to the control logic diagram and the operating parameters of the steady-state operating condition point comprises: obtaining the control logic diagram; obtaining the operating parameters of the steady-state operating condition point; modeling according to the control logic diagram and the operating parameters of the steady-state operating condition point to obtain the control system transfer function model.

5. The model and parameter determination method based on operating parameters according to claim 1, characterized in that: The validity verification of the control object transfer function model and the control system transfer function model according to the set verification parameters includes: obtaining the set verification parameters; verifying the control object transfer function model and the control system transfer function model through the set verification parameters to obtain verification results; judging whether the control object transfer function model and the control system transfer function model are valid according to the verification results; if valid, saving the control object transfer function model and the control system transfer function model; if invalid, adjusting the parameters and remodeling according to the adjusted parameters until the validity is met.

6. The model and parameter determination method based on operating parameters according to claim 1, characterized in that: The method of correcting the control object transfer function model and the control system transfer function model according to the field measured data to obtain the target transfer function model of the control object and the target transfer function model of the control system includes: verifying according to the field measured data to determine the adjustment plan of the control object and the control system; correcting and identifying the control object transfer function model and the control system transfer function model according to the adjustment plan of the control object and the control system to obtain the target transfer function model of the control object and the target transfer function model of the control system.

7. The model and parameter determination method based on operating parameters according to claim 6, characterized in that: The identification based on the field measured data to determine the adjustment plan of the control object and the control system includes: verifying the control system transfer function model based on the field measured data to obtain the verification result of the control system transfer function model; verifying the control object transfer function model based on the field measured data to obtain the verification result of the control object transfer function model; and analyzing the verification result of the control system transfer function model and the verification result of the control object transfer function model to determine the adjustment plan of the control object and the control system.

8. A model based on operating parameters and a parameter determination device, characterized in that: include: A modeling scope determination unit, used for determining a target modeling scope; A control object modeling unit, used to establish a control object transfer function model based on the target modeling range and in combination with a steady-state operating condition point and design parameters; A control system modeling unit is used to establish a control system transfer function model based on the control logic diagram and the operating parameters of the steady-state operating condition point; A model verification unit, used to verify the validity of the control object transfer function model and the control system transfer function model according to set verification parameters; A model identification unit, used to modify the control object transfer function model and the control system transfer function model according to the field measured data, to obtain the target transfer function model of the control object and the target transfer function model of the control system; A selection unit, configured to perform parameter optimization and debugging method selection based on the target transfer function model of the controlled object and the target transfer function model of the control system, and obtain target parameters and a target debugging method; A parameter and logic determination unit is used to determine setting parameters and control logic based on the target parameters and the target debugging method.

9. A storage medium, characterized in that: The storage medium stores a computer program, and the computer program is suitable for being loaded by a processor to execute the steps of the model and parameter determination method based on operating parameters as described in any one of claims 1 to 7.

10. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the method for determining a model and parameters based on operating parameters as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

Images