Diagnostic evaluation method and system, storage medium, electronic equipment and product

Abstract

The invention relates to a diagnosis evaluation method and system, a storage medium, electronic equipment and a product, and is applied to a thermal generator set, and the method comprises the steps: obtaining the current operation data of the thermal generator set and preset evaluation standard data, inputting the current operation data into a pre-trained optimization operation model, obtaining a target adjustment instruction of each adjustment loop; and according to the target adjustment instruction, the current adjusted quantity and the target given quantity, determining and outputting a comprehensive index value of the thermal analog quantity adjustment system of the thermal generator set. Thus, the current control parameter is adjusted according to the target instruction, so that the adjusted quantity is consistent with the target given quantity, the comprehensive index value of the thermotechnical analog quantity adjusting system is determined through the target adjusting instruction, the current adjusted quantity and the target given quantity, the adjusting effect can be effectively improved, and a unified supervision standard can be established. And the working efficiency of personnel at each supervision level is effectively improved, so that the production reliability and safety of the thermal generator set can be effectively improved.

Description

Technical Field

[0001] The present disclosure relates to the field of industrial control, and specifically, to a diagnostic evaluation method, system, medium, electronic device, and product. Background Art

[0002] With the development and technological progress of the power industry, the automation level of thermal power plants has been continuously improved, and higher requirements have also been put forward for the reliability and maintainability of thermal power generating units. Ensuring the stable operation of thermal power generating units not only concerns the efficiency of power production, but also directly relates to safety production and social stability.

[0003] In the prior art, when the controlled variable of the analog control system of a thermal power generating unit does not meet the production requirements, it is necessary to manually adjust the control parameters to make the controlled variable meet the production requirements, which increases the maintenance cost and workload. In addition, when supervising and diagnosing the analog control system of a thermal power generating unit, due to the lack of unified management and supervision standards, the work efficiency of personnel at each supervision level is not high, and it is impossible to remotely and real-time master the manual / automatic state and adjustment performance indicators of the analog control system of the thermal power generating unit, affecting the timeliness and accuracy of decision-making, and thus affecting the reliability and safety of the thermal power generating unit. Summary of the Invention

[0004] The purpose of the present disclosure is to provide a diagnostic evaluation method applied to a thermal power generating unit, and the method includes: Obtain the current operation data of the thermal power generating unit and the preset evaluation standard data, where the current operation data includes a set of current controlled variables and current control parameters corresponding to the current unit operating conditions, the control parameters are used to adjust the current controlled variable, and the evaluation standard data includes the given values corresponding to the controlled variables under multiple different unit operating conditions; Input the current operation data into a pre-trained optimization operation model to obtain the target adjustment instruction for each adjustment loop, the target adjustment instruction is used to adjust the current control parameter so that the current controlled variable is consistent with the target given value, and the target given value is the given value corresponding to the current controlled variable under the current unit operating conditions; Determine and output the comprehensive index value of the thermal engineering analog quantity adjustment system of the thermal power generating unit according to the target adjustment instruction, the current controlled variable, and the target given value.

[0005] Optionally, the training process of the optimization operation model includes: Obtain a plurality of preset sample data, where the preset sample data includes a set of preset controlled variable sample data, preset given value sample data, and preset adjustment instruction annotation data under multiple different environmental parameters; Using the multiple preset sample data as training data, train a preset initial model to obtain the optimized operation model.

[0006] Optionally, according to the target adjustment instruction, the current variable to be adjusted, and the target given quantity, determine the comprehensive index value of the thermal simulation quantity adjustment system of the thermal power generating unit, including: Obtain the historical operation data of the thermal power generating unit, where the historical operation data includes historical control parameters corresponding to the variable to be adjusted under multiple different environmental parameters; Determine the current operation deviation according to the target adjustment instruction and the target historical control parameter corresponding to the current variable to be adjusted under the current unit condition; Determine the comprehensive index value of the thermal simulation quantity adjustment system of the thermal power generating unit according to the current operation deviation, the current variable to be adjusted, and the target given quantity.

[0007] Optionally, the determining the comprehensive index value of the thermal simulation quantity adjustment system of the thermal power generating unit according to the current operation deviation, the current variable to be adjusted, and the target given quantity includes: When it is determined that the current operation deviation is greater than or equal to a preset deviation threshold, use the target historical control parameter, the current variable to be adjusted, and the target given quantity as target sample data, and use the target sample data and multiple preset sample data as training data to train a preset initial model to obtain an updated target operation model corresponding to the optimized operation model; Determine an updated target operation deviation corresponding to the current operation deviation according to the current operation data and the target operation model; When it is determined that the current operation deviation or the target operation deviation is less than the preset deviation threshold, determine the comprehensive index value of the thermal simulation quantity adjustment system of the thermal power generating unit according to the current variable to be adjusted and the target given quantity.

[0008] Optionally, the determining the comprehensive index value of the thermal simulation quantity adjustment system of the thermal power generating unit according to the current variable to be adjusted and the target given quantity includes: Determine the target variables to be adjusted corresponding to multiple adjustment performance indicators of the thermal power generating unit from the current variable to be adjusted; For each adjustment performance indicator, determine the index value of each adjustment performance indicator according to the target variable to be adjusted, the target given quantity, and a preset scoring standard; Determine the comprehensive index value of the thermal simulation quantity adjustment system according to the index value of each adjustment performance indicator and the weight coefficient corresponding to each adjustment performance indicator.

[0009] Optionally, the method further includes: Obtain the disturbance signal parameters, and determine the first specified controlled variable corresponding to the performance index of the thermal power generating unit from the current controlled variable. The disturbance signal parameters are used to characterize the control signal data of the thermal power generating unit when it is affected by external disturbances or internal changes; Input the current controlled variable, the current control parameter, and the disturbance signal parameters into the optimization operation model to obtain a second specified controlled variable after adjusting the first specified controlled variable by a disturbance adjustment command. The disturbance adjustment command is used to adjust the current control parameter so that the current controlled variable is consistent with the target given quantity; Determine the target deviation according to the difference between the first specified controlled variable and the second specified controlled variable and a preset specified performance index value. The target deviation is used to characterize the difference between the output after being disturbed and the expected output; When it is determined that the target deviation is greater than or equal to the preset performance deviation, output an alarm fault message.

[0010] According to the second aspect of the embodiments of the present disclosure, a diagnosis and evaluation system is provided, which is applied to a thermal power generating unit. The system includes: A first acquisition module, configured to acquire the current operation data of the thermal power generating unit and preset evaluation standard data. The current operation data includes the current controlled variable and the current control parameter corresponding to a set of current environmental parameters. The control parameter is used to adjust the current controlled variable. The standard operation data includes the given quantities corresponding to the controlled variables under multiple different environmental parameters; A second acquisition module, configured to input the current operation data into a pre-trained optimization operation model to obtain a target adjustment command. The target adjustment command is used to adjust the current control parameter so that the current controlled variable is consistent with the target given quantity. The target given quantity is the given quantity corresponding to the current controlled variable under the current environmental parameter; A first determination module, configured to determine and output the comprehensive index value of the thermal simulation quantity adjustment system of the thermal power generating unit according to the target adjustment command, the current controlled variable, and the target given quantity.

[0011] Optionally, the first determination module includes: A third acquisition module, configured to acquire the historical operation data of the thermal power generating unit. The historical operation data includes the historical control parameters corresponding to the controlled variables under multiple different environmental parameters; A second determination module, configured to determine the current operation deviation according to the target adjustment command and the target historical control parameter corresponding to the current controlled variable under the current environmental parameter; A third determination module, configured to determine an integrated index value of a thermal analog quantity regulation system of the thermal power generating unit according to the current operation deviation, the current quantity to be regulated, and the target given quantity.

[0012] Optionally, the third determination module includes: A first update module, configured to, when determining that the current operation deviation is greater than or equal to a preset deviation threshold, use the target historical control parameter, the current quantity to be regulated, and the target given quantity as target sample data, and use the target sample data and multiple preset sample data as training data to perform model training on a preset initial model to obtain an updated target operation model corresponding to the optimized operation model; A second update module, configured to determine an updated target operation deviation corresponding to the current operation deviation according to the current operation data and the target operation model; A fourth determination module, configured to, when determining that the current operation deviation or the target operation deviation is less than the preset deviation threshold, determine an integrated index value of the thermal analog quantity regulation system of the thermal power generating unit according to the current quantity to be regulated and the target given quantity.

[0013] Optionally, the fourth determination module includes: A fifth determination module, configured to determine target quantities to be regulated corresponding to multiple regulation performance indexes of the thermal power generating unit from the current quantity to be regulated; A sixth determination module, configured to, for each of the regulation performance indexes, determine an index value of each of the regulation performance indexes according to the target quantity to be regulated, the target given quantity, and a preset scoring criterion; A seventh determination module, configured to determine an integrated index value of the thermal analog quantity regulation system according to the index value of each of the regulation performance indexes and a weight coefficient corresponding to each of the regulation performance indexes.

[0014] Optionally, the system further includes: A perturbation module, configured to obtain perturbation signal parameters, and determine a first specified quantity to be regulated corresponding to a performance index of the thermal power generating unit from the current quantity to be regulated, where the perturbation signal parameters are used to characterize control signal data when the thermal power generating unit is subject to external interference or internal changes; An adjustment module, configured to input the current quantity to be regulated, the current control parameter, and the perturbation signal parameters into the optimized operation model to obtain a second specified quantity to be regulated after regulating the first specified quantity to be regulated by a perturbation adjustment instruction, where the perturbation adjustment instruction is used to adjust the current control parameter to make the current quantity to be regulated consistent with the target given quantity; A deviation module, configured to determine a target deviation according to a difference between the first specified quantity to be adjusted and the second specified quantity to be adjusted and a preset specified performance index value, where the target deviation is used to characterize a difference between an output after being disturbed and an expected output; A prompting module, configured to output an alarm fault message when it is determined that the target deviation is greater than or equal to a preset performance deviation.

[0015] According to a third aspect of the embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium, on which a computer program is stored, and when the program instructions are executed by a processor, the steps of the method according to the first aspect of the embodiments of the present disclosure are implemented.

[0016] According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic device, including: A memory, on which a computer program is stored; A processor, configured to execute the computer program in the memory to implement the steps of the method according to the first aspect of the embodiments of the present disclosure.

[0017] According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the method according to the first aspect of the embodiments of the present disclosure are implemented.

[0018] Through the above technical solution, the current operation data of the thermal power generating unit and the preset evaluation standard data are obtained. The current operation data includes a current controlled variable and a current control parameter corresponding to a current unit condition. The control parameter is used to adjust the current controlled variable. The evaluation standard data includes given values corresponding to the controlled variables under multiple different unit conditions. The current operation data is input into a pre-trained optimization operation model to obtain a target adjustment instruction for each adjustment loop. The target adjustment instruction is used to adjust the current control parameter so that the current controlled variable is consistent with the target given value. The target given value is the given value corresponding to the current controlled variable under the current unit condition. According to the target adjustment instruction, the current controlled variable, and the target given value, the comprehensive index value of the thermal simulation quantity adjustment system of the thermal power generating unit is determined and output. In this way, by obtaining the target adjustment instruction for each adjustment loop through the current operation data and the optimization operation model, and adjusting the current control parameter according to the target adjustment instruction to make the controlled variable consistent with the target given value, the workload can be effectively reduced, and thus the adjustment efficiency can be effectively improved. By determining the comprehensive index value of the thermal simulation quantity adjustment system through the target adjustment instruction, the current controlled variable, and the target given value, a unified supervision standard can also be established, the coordination between various links can be effectively improved, and the operation state of the thermal power generating unit and the comprehensive index value of the thermal simulation quantity adjustment system can be grasped in real time, so that the reliability and safety of the production of the thermal power generating unit can be effectively improved.

[0019] Other features and advantages of the present disclosure will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings are used to provide a further understanding of the present disclosure, and constitute a part of the specification. They are used to explain the present disclosure together with the following specific implementation, but do not constitute a limitation to the present disclosure. In the drawings: Figure 1 is a flowchart of a diagnostic evaluation method shown according to an exemplary embodiment; Figure 2 is according to Figure 1 the embodiment shown, a flowchart of a diagnostic evaluation method; Figure 3 is according to Figure 2 the embodiment shown, a flowchart of a diagnostic evaluation method; Figure 4 is according to Figure 3 the embodiment shown, a flowchart of a diagnostic evaluation method; Figure 5 is according to Figure 1 the embodiment shown, a flowchart of another diagnostic evaluation method; Figure 6 is a block diagram of a diagnostic evaluation system shown according to an exemplary embodiment; Figure 7 is a block diagram of an electronic device shown according to an exemplary embodiment. Detailed implementation manners

[0021] The following details the specific implementation manners of the present disclosure with reference to the accompanying drawings. It should be understood that the specific implementation manners described herein are only for explaining and illustrating the present disclosure, and are not used to limit the present disclosure.

[0022] Here, the exemplary embodiments will be described in detail, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numerals in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0023] Before introducing the specific implementation manners of the present disclosure in detail, the application scenarios of the present disclosure are first described as follows. The present disclosure can be applied to the application scenario of supervising and diagnosing the operation process of a thermal power generating unit. The stable operation of a thermal power generating unit is not only related to the efficiency of power production, but also directly related to safety production and social stability. In the prior art, when the controlled variable of the analog control system of a thermal power generating unit does not meet the production requirements, it is necessary to manually adjust the control parameters to make the controlled variable meet the production requirements, which increases the maintenance cost and workload. In addition, when supervising and diagnosing the analog control system of a thermal power generating unit, due to the lack of unified management and supervision standards, the work efficiency of personnel at each supervision level is not high, and it is impossible to grasp the operation status and regulation performance indicators of the thermal power generating unit in real time, affecting the timeliness and accuracy of decision-making, and thus affecting the reliability and safety of the thermal power generating unit.

[0024] To solve the above technical problems, the present disclosure provides a diagnostic evaluation method, system, storage medium, electronic device, and product, which are applied to a thermal power generating unit. The current operation data of the thermal power generating unit and preset evaluation standard data are obtained. The current operation data includes a set of current controlled variables and current control parameters corresponding to the current unit operating conditions. The control parameters are used to adjust the current controlled variables. The standard operation data includes given values corresponding to the controlled variables under multiple different unit operating conditions. The current operation data is input into a pre-trained optimization model to obtain a target adjustment instruction for each adjustment loop. The target adjustment instruction is used to adjust the current control parameters so that the current controlled variable is consistent with the target given value. The target given value is the given value corresponding to the current controlled variable under the current unit operating conditions. According to the target adjustment instruction, the current controlled variable, and the target given value, the comprehensive index value of the thermal analog quantity adjustment system of the thermal power generating unit is determined and output. In this way, the target adjustment instruction for each adjustment loop is obtained through the current operation data and the optimization operation model, and the current control parameters are adjusted according to the target adjustment instruction so that the controlled variable is consistent with the target given value, which can effectively reduce the workload and thus effectively improve the adjustment effect. By determining the comprehensive index value of the thermal analog quantity adjustment system through the target adjustment instruction, the current controlled variable, and the target given value, a unified supervision standard can also be established, the work efficiency of personnel at each supervision level can be effectively improved, and the operation status and comprehensive index value of the thermal analog quantity adjustment system of the thermal power generating unit can be grasped in real time, thereby effectively improving the reliability and safety of the production of the thermal power generating unit.

[0025] The following elaborates on the specific embodiments of the present disclosure in conjunction with specific drawings.

[0026] Figure 1 FIG. is a flowchart of a diagnostic evaluation method shown according to an exemplary embodiment, which is applied to a thermal power generating unit. The method may include: Step 101, obtain the current operation data of the thermal power generating unit and the preset evaluation standard data.

[0027] Among them, the current operation data includes a set of current controlled variables and current control parameters corresponding to the current unit operating conditions. The control parameters are used to adjust the current controlled variables. The evaluation standard data includes given values corresponding to the controlled variables under multiple different unit operating conditions.

[0028] Exemplarily, the environmental parameters may be environmental condition parameters of the unit operating conditions such as temperature, pressure, load, etc., and the controlled variable may be a key variable that needs to be controlled during the thermal power generation process, such as boiler water level, steam pressure, steam temperature, etc. The current value of the controlled variable can be obtained by sensors installed on the thermal power generating unit. The control parameter may be a set value used to adjust the controlled variable to achieve the expected target, such as valve opening, fuel set value, etc., and can be adjusted according to the difference between the current controlled variable and the expected value.

[0029] It should be noted that in the case of obtaining the current operation data and the preset evaluation standard data, the standard configuration logic can be obtained simultaneously. The standard configuration logic may be the control logic of the adjustment loop. The control parameter is adjusted through the standard configuration logic and the evaluation standard data so that the current controlled variable is consistent with the target setpoint. Step 102: Input the current operation data into a pre-trained optimization operation model to obtain the target adjustment instruction for each adjustment loop.

[0030] Among them, the target adjustment instruction is used to adjust the current control parameter so that the current controlled variable is consistent with the target setpoint, and the target setpoint is the setpoint corresponding to the current controlled variable under the current unit operating conditions.

[0031] In this step, the training process of the optimization operation model may include: obtaining a plurality of preset sample data, where the preset sample data includes a plurality of groups of preset controlled variable sample data, preset setpoint sample data, and preset adjustment instruction annotation data under different unit operating conditions; using the plurality of preset sample data as training data to perform model training on a preset initial model to obtain the optimization operation model.

[0032] Step 103: Determine and output the comprehensive index value of the analog quantity control system of the thermal power generating unit according to the target adjustment instruction, the current controlled variable, and the target setpoint.

[0033] Among them, the comprehensive index may be a comprehensive score or a comprehensive evaluation report, which is used to comprehensively evaluate the operation status and optimization effect of the thermal engineering analog quantity adjustment system of the thermal power generating unit.

[0034] In this step, obtain the historical operation data of the thermal power generating unit. The historical operation data includes historical control parameters corresponding to the controlled variable under multiple different unit operating conditions. Determine whether the optimization operation model is accurate according to the target adjustment instruction and the target historical control parameter corresponding to the current controlled variable under the current unit operating condition. In the case where it is determined that the optimization operation model is inaccurate, update the optimization operation model according to the current operation data and the historical operation data. In the case where it is determined that the optimization operation model is accurate, determine and output the comprehensive index value of the analog control system of the thermal power generating unit according to the current controlled variable and the target given quantity.

[0035] In the above technical solution, the target adjustment instruction of each adjustment loop is obtained through the current operation data and the optimization operation model, and the current control parameter is adjusted according to the target adjustment instruction so that the controlled variable is consistent with the target given quantity, which can effectively reduce the workload and thus effectively improve the adjustment effect. The comprehensive index value is determined through the target adjustment instruction, the current controlled variable and the target given quantity, which can also establish a unified supervision standard, effectively improve the work efficiency of personnel at each supervision level, and can also grasp the manual / automatic state and the comprehensive index value of the analog control system of the thermal power generating unit in real time, so as to effectively improve the reliability and safety of the production of the thermal power generating unit.

[0036] Optionally, the training process of the optimization operation model includes: Obtain a plurality of preset sample data, where the preset sample data includes preset controlled variable sample data, preset given quantity sample data, and preset adjustment instruction annotation data under multiple different unit operating conditions; Use the plurality of preset sample data as training data to perform model training on a preset initial model to obtain the optimization operation model.

[0037] Among them, the unit operating condition data may include environmental condition sample data such as temperature, humidity, and atmospheric pressure. The controlled variable sample data may include sample data such as boiler water level, steam pressure, and steam temperature. The control parameter sample data may include control parameters such as valve opening and fuel supply rate. The adjustment instruction annotation data may be the optimal adjustment instructions given by experts or senior operators obtained from historical operation records, simulation data, or experimental data under specific circumstances.

[0038] In the above technical solution, by obtaining a plurality of preset sample data and using the plurality of preset sample data as training data to perform model training on a preset initial model, an optimization operation model can be obtained to guide the operation of the thermal power generating unit and improve the performance and efficiency of the thermal power generating unit.

[0039] Figure 2 is based onFigure 1 The flowchart of a diagnostic evaluation method shown in the illustrated embodiment is as follows Figure 2 as shown Figure 1 determining the comprehensive index value of the thermal power generating unit according to the target adjustment instruction, the current quantity to be adjusted, and the target given quantity as described in step 103 includes: Step 1031: Obtain the historical operation data of the thermal power generating unit.

[0040] Among them, the historical operation data includes historical control parameters corresponding to the quantity to be adjusted under multiple different unit operating conditions.

[0041] Among them, the historical control parameters can be control measures (such as increasing fuel flow or decreasing cooling water flow, etc.) taken to reach the target value under different unit operating conditions.

[0042] Step 1032: Determine the current operation deviation according to the target adjustment instruction and the target historical control parameter corresponding to the current quantity to be adjusted under the current unit operating condition.

[0043] Among them, the current operation deviation is used to characterize the difference between the current actual operation state and the target state of the thermal power generating unit.

[0044] In this step, according to the current target adjustment instruction and the quantity to be adjusted under the current unit operating condition, the historical control parameter corresponding to the quantity to be adjusted most similar to the current unit operating condition can be found from the historical operation data through data matching or interpolation method, and the historical control parameter corresponding to the quantity to be adjusted most similar to the current unit operating condition is used as the target historical control parameter. The difference between the target adjustment instruction and the target historical control parameter of each regulation loop can be evaluated through a loss function or a difference metric function, and the difference between the target adjustment instruction and the target historical control parameter is used as the current operation deviation. The loss function or the difference metric function can be a mean square error function, a mean square logarithmic error function, a weighted mean square error function, or a mean absolute error function, or other custom loss functions.

[0045] Step 1033: Determine the comprehensive index value of the thermal analog quantity regulation system of the thermal power generating unit according to the current operation deviation, the current quantity to be adjusted, and the target given quantity.

[0046] Among them, the comprehensive index value of the thermal analog quantity regulation system can be a comprehensive score or a comprehensive evaluation report, which is used to comprehensively evaluate the operation state and optimization effect of the thermal analog quantity regulation system of the thermal power generating unit.

[0047] In this step, when it is determined that the current operation deviation is greater than or equal to the preset deviation threshold, the target historical control parameter, the current controlled variable, and the target given quantity are used as target sample data. Using the target sample data and multiple preset sample data as training data, the preset initial model is trained to obtain the updated target operation model corresponding to the optimized operation model; when it is determined that the current operation deviation is less than the preset deviation threshold, the target controlled variables corresponding to multiple regulation performance indicators of the thermal power generating unit are determined from the current controlled variable; for each regulation performance indicator, the index value of each regulation performance indicator is determined according to the target controlled variable, the target given quantity, and the preset scoring criteria; according to the index value of each regulation performance indicator and the weight coefficient corresponding to each regulation performance indicator, the comprehensive index value is determined.

[0048] The above technical solution can effectively improve the operation efficiency and stability of the thermal power generating unit by obtaining historical operation data, determining the target historical control parameter, determining the current operation deviation according to the target adjustment instruction and the target historical control parameter, and finally determining the comprehensive index value of the thermal process analog quantity regulation system of the thermal power generating unit.

[0049] Figure 3 is based on Figure 2 The flowchart of a diagnostic evaluation method shown in the illustrated embodiment is as Figure 3 shown, Figure 2 In step 1033 as described above, determining the comprehensive index value of the thermal process analog quantity regulation system of the thermal power generating unit according to the current operation deviation, the current controlled variable, and the target given quantity includes: S1. When it is determined that the current operation deviation is greater than or equal to the preset deviation threshold, the target historical control parameter, the current controlled variable, and the target given quantity are used as target sample data. Using the target sample data and multiple preset sample data as training data, the preset initial model is trained to obtain the updated target operation model corresponding to the optimized operation model.

[0050] In this step, when it is determined that the current operation deviation is greater than or equal to the preset deviation threshold, it can be determined that the optimized operation model is inaccurate. The target historical control parameter, the current controlled variable, and the target given quantity are used as target sample data. Using the target sample data and multiple preset sample data as training data, the preset initial model is trained to update the optimized operation model to obtain the updated target operation model corresponding to the optimized operation model.

[0051] S2. Determine the updated target operation deviation corresponding to the current operation deviation according to the current operation data and the target operation model.

[0052] In this step, when it is determined that the updated target operation model is obtained, the current operation data is input into the target operation model to obtain the updated target operation instructions of the target adjustment instructions for each adjustment loop. According to the updated target operation instructions and the controlled variable under the current unit condition, the target historical control parameters (updated target control parameters) corresponding to the controlled variable most similar to the current unit condition can be found from the historical operation data through data matching or interpolation method. The difference between the target operation instructions and the target control parameters can be evaluated by a loss function or a difference metric function, and the difference between the target operation instructions and the target control parameters is used as the target operation deviation. The loss function or the difference metric function can be a mean square error function, a mean square logarithmic error function, a weighted mean square error function, or a mean absolute error function, or other custom loss functions.

[0053] S3. When it is determined that the current operation deviation or the target operation deviation is less than the preset deviation threshold, the comprehensive index value of the thermal analog quantity adjustment system of the thermal power generating unit is determined according to the current controlled variable and the target given quantity.

[0054] In this step, when it is determined that the current operation deviation or the target operation deviation is less than the preset deviation threshold, the target controlled variables corresponding to multiple adjustment performance indexes of the thermal power generating unit are determined from the current controlled variable; for each adjustment performance index, the index value of each adjustment performance index is determined according to the target controlled variable, the target given quantity, and the preset scoring criteria; according to the index value of each adjustment performance index and the weight coefficient corresponding to each adjustment performance index, the comprehensive index value is determined.

[0055] The above technical solution updates the optimization operation model through historical operation data, determines the updated target operation deviation, and finally determines the comprehensive index value of the thermal analog quantity adjustment system of the thermal power generating unit, which can effectively improve the accuracy of determining the comprehensive index of the thermal analog quantity adjustment system of the thermal power generating unit, thereby improving the operation efficiency and stability of the thermal power generating unit.

[0056] Figure 4 is based on Figure 3 The flowchart of a diagnostic evaluation method shown in the illustrated embodiment, as Figure 4 shown, Figure 3 In S1 described above, determining the comprehensive index value of the thermal analog quantity adjustment system of the thermal power generating unit according to the current controlled variable and the target given quantity includes: S11. Determine the target controlled variables corresponding to multiple adjustment performance indexes of the thermal power generating unit from the current controlled variable.

[0057] Among them, the regulation performance indicators may include data integrity, reliability configuration of the regulated quantity, regulation performance, actuator performance and automatic commissioning time; the regulation performance may include response time, attenuation rate, stabilization time, error integration criterion indicator, and deviation between the target given value and the current regulated quantity.

[0058] S12, for each of the regulation performance indicators, determining an indicator value of each of the regulation performance indicators according to the target regulated quantity, the target given quantity and a preset scoring standard.

[0059] Among them, the regulation performance indicators may include data integrity, reliability configuration of the regulated quantity, performance indicators, actuator performance and automatic commissioning time. The performance indicators may include response time, attenuation rate, stabilization time, error integration criterion indicator, and deviation between the target given value and the current regulated quantity.

[0060] For example, the scoring criteria for data integrity are: 2 points for automatic calculation logic description and review minutes, 4 points for infrastructure commissioning report, and 4 points for test report. 10 points for stabilization time less than the assessment index. The scoring criteria for the reliability configuration of the controlled quantity are: 1 point for single-point configuration, 3 points for two-point redundant configuration, and 10 points for three-point redundant configuration. The scoring criteria for performance indicators are: 10 points for response time within the preset time, 10 points for maximum overshoot within the preset range, 20 points for attenuation rate within the preset range, and 10 points for stabilization time index within the preset range.

[0061] S13, determining the comprehensive index value according to the index value of each of the adjustment performance indicators and the weight coefficient corresponding to each of the adjustment performance indicators.

[0062] In this step, the product of the index value of each of the adjustment performance indicators and the weight coefficient corresponding to each of the adjustment performance indicators is used as the evaluation score corresponding to each of the adjustment performance indicators, and the evaluation scores corresponding to each of the adjustment performance indicators are summed to obtain a target sum value, and the target sum value is used as the comprehensive index value. A comprehensive evaluation result is output according to the comprehensive index value. If it is determined that the comprehensive index value is greater than 90 points, the comprehensive evaluation result can be determined to be excellent. If it is determined that the comprehensive index value is greater than 70 points and less than or equal to 90 points, the comprehensive evaluation result can be determined to be good. If it is determined that the comprehensive index value is less than or equal to 90 points, the comprehensive evaluation result can be determined to be unsatisfactory.

[0063] Exemplarily, the regulation performance indicators may include data integrity, regulated variable reliability configuration, performance indicators, actuator performance, and automatic commissioning time. The index value corresponding to data integrity is 80 points, and the weight coefficient corresponding to data integrity is 0.1. The index value corresponding to the regulated variable reliability configuration is 90 points, and the weight coefficient corresponding to the regulated variable reliability configuration is 0.1. The index value corresponding to the performance indicators is 90 points, and the weight coefficient corresponding to the performance indicators is 0.5. The index value corresponding to the actuator performance is 70 points, and the weight coefficient corresponding to the actuator performance is 0.2. The index value corresponding to the automatic commissioning time is 80 points, and the weight coefficient corresponding to the automatic commissioning time is 0.1. It is possible to determine that the comprehensive index value is 84 points and output an evaluation result of good.

[0064] In the above technical solution, by determining the target regulated variable of multiple regulation performance indicators of a thermal power generating unit, and determining the index value of each regulation performance indicator according to the target regulated variable, the target given value, and a preset scoring standard, and finally determining the comprehensive index value according to the index value and weight coefficient of each regulation performance indicator, it is possible to comprehensively evaluate the performance of the system and optimize it.

[0065] Figure 5 is based on Figure 1 shown in the flowchart of another diagnostic evaluation method according to the illustrated embodiment. As Figure 5 shown, the method further includes: Step 104, obtain disturbance signal parameters, and determine a first specified regulated variable corresponding to the performance indicator of the thermal power generating unit from the current regulated variable.

[0066] Among them, the disturbance signal parameters may include a disturbance signal and a signal duration, which are used to characterize the control signal data of the thermal power generating unit when it is affected by external disturbances or internal changes. The disturbance signal may include a step signal, a pulse signal, etc. The performance indicators may include response time, decay rate, settling time, error integral criterion index, and deviation between the target given value and the current regulated variable.

[0067] Step 105, input the current regulated variable, the current control parameter, and the disturbance signal parameters into the optimization operation model to obtain a second specified regulated variable after adjusting the first specified regulated variable by a disturbance adjustment instruction.

[0068] Among them, the disturbance adjustment instruction is used to adjust the current control parameter so that the current regulated variable is consistent with the target given value.

[0069] Step 106, determine the target deviation according to the first specified regulated variable and the second specified regulated variable.

[0070] Wherein, the target deviation is used to characterize the difference between the output after being disturbed and the desired output.

[0071] In this step, the difference between the first specified quantity to be adjusted and the second specified quantity to be adjusted can be used as the target deviation.

[0072] Step 107, when it is determined that the target deviation is greater than or equal to the preset performance index deviation, output alarm fault information.

[0073] In the above technical solution, the current quantity to be adjusted, the current control parameter, and the disturbance signal parameter are input into the optimization operation model to obtain the second specified quantity to be adjusted after the first specified quantity to be adjusted is adjusted by the disturbance adjustment instruction, and the target deviation is determined according to the first specified quantity to be adjusted and the second specified quantity to be adjusted, and a disturbance test is performed on the thermal power generating unit, which can effectively evaluate the performance of the system when it is affected by external interference or internal changes. In addition, comparing the target deviation with the preset performance index deviation and outputting alarm fault information when it is determined that the target deviation is greater than or equal to the preset performance index deviation can effectively improve the automation level of the thermal power generating unit and effectively improve the efficiency of the thermal power generating unit. Figure 6 It is a block diagram of a diagnostic evaluation system shown according to an exemplary embodiment, applied to a thermal power generating unit, as Figure 6 shown, the system includes: The first acquisition module 601 is configured to acquire the current operation data of the thermal power generating unit and the preset evaluation standard data. The current operation data includes a set of current quantities to be adjusted and current control parameters corresponding to the current unit working conditions. The control parameter is used to adjust the current quantity to be adjusted. The evaluation standard data includes the given quantities corresponding to the quantities to be adjusted under multiple different unit working conditions. The second acquisition module 602 is configured to input the current operation data into a pre-trained optimization operation model to obtain the target adjustment instruction for each adjustment loop. The target adjustment instruction is used to adjust the current control parameter so that the current quantity to be adjusted is consistent with the target given quantity. The target given quantity is the given quantity corresponding to the current quantity to be adjusted under the current unit working condition. The first determination module 603 is configured to determine and output the comprehensive index value of the thermal engineering analog quantity adjustment system of the thermal power generating unit according to the target adjustment instruction, the current quantity to be adjusted, and the target given quantity.

[0074] Optionally, the first determination module 603 is further configured to: Acquire the historical operation data of the thermal power generating unit. The historical operation data includes the historical control parameters corresponding to the quantity to be adjusted under multiple different environmental parameters. Determine the current operation deviation according to the target adjustment instruction and the target historical control parameter corresponding to the current quantity to be adjusted under the current unit condition; Determine the comprehensive index value of the thermal analog quantity adjustment system of the thermal power generating unit according to the current operation deviation, the current quantity to be adjusted, and the target given quantity.

[0075] Optionally, the first determination module 603 is further configured to: In the case where it is determined that the current operation deviation is greater than or equal to a preset deviation threshold, use the target historical control parameter, the current quantity to be adjusted, and the target given quantity as target sample data, and use the target sample data and multiple preset sample data as training data to perform model training on a preset initial model to obtain an updated target operation model corresponding to the optimized operation model; Determine an updated target operation deviation corresponding to the current operation deviation according to the current operation data and the target operation model; In the case where it is determined that the current operation deviation or the target operation deviation is less than the preset deviation threshold, determine the comprehensive index value of the thermal analog quantity adjustment system of the thermal power generating unit according to the current quantity to be adjusted and the target given quantity.

[0076] Optionally, the first determination module 603 is further configured to: Determine target quantities to be adjusted corresponding to multiple regulation performance indicators of the thermal power generating unit from the current quantity to be adjusted; For each regulation performance indicator, determine the index value of each regulation performance indicator according to the target quantity to be adjusted, the target given quantity, and a preset scoring criterion; Determine the comprehensive index value of the thermal analog quantity adjustment system according to the index value of each regulation performance indicator and the weight coefficient corresponding to each regulation performance indicator.

[0077] Optionally, the system further includes: A perturbation module 604, configured to obtain perturbation signal parameters, and determine a first specified quantity to be adjusted corresponding to the performance indicator of the thermal power generating unit from the current quantity to be adjusted, where the perturbation signal parameters are used to characterize the control signal data of the thermal power generating unit when being subjected to external interference or internal changes; An adjustment module 605, configured to input the current quantity to be adjusted, the current control parameter, and the perturbation signal parameters into the optimized operation model to obtain a second specified quantity to be adjusted after adjusting the first specified quantity to be adjusted by a perturbation adjustment instruction, where the perturbation adjustment instruction is used to adjust the current control parameter to make the current quantity to be adjusted consistent with the target given quantity; A deviation module 606 is configured to determine a target deviation according to the difference between the first specified controlled variable and the second specified controlled variable and a preset specified performance index value, where the target deviation is used to characterize the difference between the output after being disturbed and the desired output; A prompt module 607 is configured to output an alarm fault message when it is determined that the target deviation is greater than or equal to a preset performance deviation.

[0078] According to the above technical solution, a target adjustment instruction is obtained through the current operation data and the optimization operation model, and the current control parameters are adjusted according to the target adjustment instruction to make the controlled variable consistent with the target setpoint, which can effectively reduce the workload and thus effectively improve the adjustment efficiency. By determining the comprehensive index value of the thermal process analog quantity adjustment system through the target adjustment instruction, the current controlled variable and the target setpoint, a unified supervision standard can also be established, the coordination between each link can be effectively improved, and the operation status of the thermal power generating unit and the comprehensive index value of the thermal process analog quantity adjustment system can be grasped in real time, so that the reliability and safety of the production of the thermal power generating unit can be effectively improved.

[0079] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0080] The present disclosure also provides a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the steps of the diagnostic evaluation method provided by the present disclosure are implemented.

[0081] Figure 7 is a block diagram of an electronic device 700 shown according to an exemplary embodiment. As Figure 7 shown, the electronic device 700 may include: a processor 701, a memory 702. The electronic device 700 may further include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.

[0082] Among them, the processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned diagnostic evaluation method. The memory 702 is used to store various types of data to support the operation of the electronic device 700. These data may include, for example, instructions for any application program or method operating on the electronic device 700, as well as application-related data, such as contact data, received and sent messages, pictures, audio, video, and so on. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them is not limited herein. Therefore, the corresponding communication component 705 may include: a Wi-Fi module, a Bluetooth module, an NFC module, and so on.

[0083] In an exemplary embodiment, the electronic device 700 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components, and is used to execute the above-mentioned diagnostic evaluation method.

[0084] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When the program instructions are executed by a processor, the steps of the above-mentioned diagnostic evaluation method are implemented. For example, the computer-readable storage medium may be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions may be executed by the processor 701 of the electronic device 700 to complete the above-mentioned diagnostic evaluation method.

[0085] In another exemplary embodiment, a computer program product is further provided. The computer program product includes a computer program that can be executed by a programmable device, and the computer program has a code portion for executing the above-mentioned diagnostic evaluation method when executed by the programmable device.

[0086] The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0087] In addition, it should be noted that, in the case of no contradiction, the various specific technical features described in the above specific embodiments can be combined in any appropriate manner. To avoid unnecessary repetition, the present disclosure will not separately describe various possible combination manners.

[0088] Furthermore, any combination can be made between various different embodiments of the present disclosure, as long as it does not violate the idea of the present disclosure, and it should also be regarded as the content disclosed by the present disclosure.

Claims

1. A diagnostic evaluation method, characterized in that: Applied to a thermal power generating unit, the method comprises: Acquire current operating data and preset evaluation standard data of the thermal power generating set, wherein the current operating data includes a set of current controlled variables and current control parameters corresponding to the current unit operating conditions, wherein the current control parameters are used to adjust the current controlled variables, and the evaluation standard data includes a plurality of sets of given variables corresponding to the controlled variables under different unit operating conditions; Inputting the current operating data into a pre-trained optimization operation model to obtain a target adjustment instruction for each regulation loop, wherein the target adjustment instruction is used to adjust the current control parameter so that the current controlled variable is consistent with a target given variable, wherein the target given variable is a given variable corresponding to the current controlled variable under the current unit operating condition; According to the target adjustment instruction, the current adjusted quantity and the target given quantity, a comprehensive index value of the thermal analog quantity adjustment system of the thermal power generating set is determined and output.

2. The diagnostic evaluation method according to claim 1, characterized in that: The training process of the optimization operation model includes: Acquire a plurality of preset sample data, wherein the preset sample data includes preset regulated quantity sample data, preset given quantity sample data and preset adjustment instruction labeling data under a plurality of sets of different environmental parameters; The plurality of preset sample data are used as training data to perform model training on the preset initial model to obtain the optimized operation model.

3. The diagnostic evaluation method according to claim 1, characterized in that: Determining the comprehensive index value of the thermal analog quantity regulation system of the thermal power generating set according to the target adjustment instruction, the current regulated quantity and the target given quantity, including: Acquire historical operation data of the thermal power generating set, wherein the historical operation data includes historical control parameters corresponding to the regulated variable under multiple groups of different environmental parameters; Determine the current operation deviation according to the target adjustment instruction and the target historical control parameter corresponding to the current adjusted variable under the current unit operating condition; The comprehensive index value of the thermal analog quantity regulation system of the thermal power generating set is determined according to the current operation deviation, the current regulated quantity and the target given quantity.

4. The diagnostic evaluation method according to claim 3, characterized in that: The step of determining the comprehensive index value of the thermal analog quantity regulation system of the thermal power generating set according to the current operation deviation, the current regulated quantity and the target given quantity comprises: In the case where it is determined that the current operation deviation is greater than or equal to the preset deviation threshold, the target historical control parameter, the current controlled variable and the target given variable are used as target sample data, and the target sample data and a plurality of preset sample data are used as training data to perform model training on a preset initial model to obtain an updated target operation model corresponding to the optimized operation model; determining an updated target operating deviation corresponding to the current operating deviation according to the current operating data and the target operating model; When it is determined that the current operation deviation or the target operation deviation is less than the preset deviation threshold, the comprehensive index value of the thermal analog quantity regulation system of the thermal power generating set is determined according to the current regulated quantity and the target given quantity.

5. The diagnostic evaluation method according to claim 4, characterized in that: Determining the comprehensive index value of the thermal power generating set according to the current controlled quantity and the target given quantity includes: Determining target regulated quantities corresponding to a plurality of regulating performance indicators of the thermal power generating set from the current regulated quantity; For each of the regulation performance indicators, determine the indicator value of each of the regulation performance indicators according to the target regulated quantity, the target given quantity and a preset scoring standard; The comprehensive index value of the thermal simulation quantity regulation system is determined according to the index value of each regulation performance index and the weight coefficient corresponding to each regulation performance index.

6. The diagnostic evaluation method according to claim 1, characterized in that: The method further comprises: Acquire disturbance signal parameters, and determine a first designated controlled variable corresponding to the performance index of the thermal power generating set from the current controlled variable, wherein the disturbance signal parameters are used to characterize control signal data of the thermal power generating set when it is subjected to external interference or internal changes; Inputting the current controlled variable, the current control parameter and the disturbance signal parameter into the optimization operation model to obtain a second designated controlled variable after the first designated controlled variable is adjusted by a disturbance adjustment instruction, wherein the disturbance adjustment instruction is used to adjust the current control parameter so that the current controlled variable is consistent with a target given variable; Determining a target deviation according to a difference between the first designated controlled variable and the second designated controlled variable and a preset specified performance indicator value, wherein the target deviation is used to characterize a difference between an output after being disturbed and an expected output; When it is determined that the target deviation is greater than or equal to the preset performance deviation, an alarm fault message is output.

7. A diagnostic evaluation system, characterized in that: Applied to a thermal power generating unit, the system comprises: A first acquisition module is used to acquire current operating data of the thermal power generating unit and preset evaluation standard data, wherein the current operating data includes a set of current controlled quantities and current control parameters corresponding to the current unit operating conditions, wherein the current control parameters are used to adjust the current controlled quantities, and the evaluation standard data includes a plurality of given quantities corresponding to the controlled quantities under different unit operating conditions; a second acquisition module, configured to input the current operating data into a pre-trained optimization operation model to obtain a target adjustment instruction for each regulation loop, wherein the target adjustment instruction is used to adjust the current control parameter so that the current controlled variable is consistent with a target given variable, wherein the target given variable is a given variable corresponding to the current controlled variable under the current unit operating condition; The first determination module is used to determine and output the comprehensive index value of the thermal analog quantity regulation system of the thermal power generating set according to the target adjustment instruction, the current regulated quantity and the target given quantity.

8. The diagnostic evaluation system according to claim 7, characterized in that: The first determining module includes: A third acquisition module is used to acquire historical operation data of the thermal power generating set, wherein the historical operation data includes historical control parameters corresponding to the regulated variable under multiple groups of different environmental parameters; A second determination module is used to determine the current operation deviation according to the target adjustment instruction and the target historical control parameter corresponding to the current adjusted variable under the current unit operating condition; The third determination module is used to determine the comprehensive index value of the thermal analog quantity regulation system of the thermal power generating set according to the current operation deviation, the current regulated quantity and the target given quantity.

9. The diagnostic evaluation system according to claim 8, characterized in that: The third determining module comprises: A first updating module is used to, when it is determined that the current operation deviation is greater than or equal to a preset deviation threshold, use the target historical control parameter, the current adjusted variable and the target given variable as target sample data, use the target sample data and a plurality of preset sample data as training data, perform model training on a preset initial model, and obtain an updated target operation model corresponding to the optimized operation model; A second updating module, configured to determine an updated target operation deviation corresponding to the current operation deviation according to the current operation data and the target operation model; The fourth determination module is used to determine the comprehensive index value of the thermal analog quantity regulation system of the thermal power generating set according to the current regulated quantity and the target given quantity when it is determined that the current operating deviation or the target operating deviation is less than the preset deviation threshold.

10. The diagnostic evaluation system according to claim 9, characterized in that: The fourth determining module includes: A fifth determining module, configured to determine target regulated quantities corresponding to the multiple regulation performance indicators of the thermal power generating set from the current regulated quantities; A sixth determination module, configured to determine, for each of the regulation performance indicators, an indicator value of each of the regulation performance indicators according to the target regulated quantity, the target given quantity and a preset scoring standard; The seventh determination module is used to determine the comprehensive index value of the thermal simulation quantity regulation system according to the index value of each of the regulation performance indicators and the weight coefficient corresponding to each of the regulation performance indicators.

11. The diagnostic evaluation system according to claim 7, characterized in that: The system further comprises: A disturbance module, used for acquiring disturbance signal parameters, and determining a first designated controlled variable corresponding to the performance index of the thermal power generating set from the current controlled variable, wherein the disturbance signal parameters are used for characterizing control signal data of the thermal power generating set when it is subjected to external interference or internal changes; an adjustment module, used for inputting the current controlled variable, the current control parameter and the disturbance signal parameter into the optimization operation model to obtain a second designated controlled variable after the first designated controlled variable is adjusted by a disturbance adjustment instruction, wherein the disturbance adjustment instruction is used for adjusting the current control parameter so that the current controlled variable is consistent with a target given variable; a deviation module, used to determine a target deviation according to a difference between the first designated controlled variable and the second designated controlled variable and a preset specified performance indicator value, wherein the target deviation is used to characterize a difference between an output after being disturbed and an expected output; The prompt module is used to output alarm fault information when it is determined that the target deviation is greater than or equal to the preset performance deviation.

12. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 6 are implemented.

13. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 6.

14. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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