Micro-control transformation ratio test method and system based on DCS control system

Abstract

The invention belongs to the technical field of industrial automation control, provides a micro-control transformation ratio test method and system based on a DCS control system, and is used for solving the problem that enough control precision and flexibility are difficult to provide in the prior art. Wherein the change value of the micro-control transformation ratio and the fluctuation of the working parameters under different working conditions are continuously recorded; the change value is monitored in time, the abnormal trend of the change value is detected, and the change trend of the change value is predicted; determining the deviation between the change value and a set standard value, and adjusting the working parameters of the micro-control transformation ratio test equipment; restarting the micro-control transformation ratio test equipment according to the adjusted working parameters, and repeating the processes of change value monitoring, deviation determination and working parameter adjustment; and when the working parameters of the micro-control transformation ratio test equipment reach a preset precision requirement, outputting a final micro-control transformation ratio test result through the DCS control system. According to the technical scheme provided by the invention, the control precision of the micro-control transformation ratio test equipment can be effectively improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of industrial automation control technology, and in particular to a micro-control ratio testing method and system based on a DCS control system. Background Art

[0002] With the increasing use of micro-control ratio test equipment in power systems, precision instrument manufacturing, and other industrial applications that require precise control of the ratio, micro-control ratio test equipment is widely used to ensure the precise operation of the equipment under different working conditions. This equipment needs to be able to maintain a stable ratio value under different conditions to ensure the reliability of the system and the consistency of performance. Micro-control ratio test equipment is affected by many factors during operation, such as temperature, pressure, and current. In order to ensure that the ratio value is within the preset standard range, a method that can monitor and adjust these operating parameters in real time is required. In addition, the method should be able to identify and predict potential change trends, so that measures can be taken in advance to avoid the ratio value deviating from the standard value.

[0003] At present, the traditional micro-control ratio test method mainly relies on a simple PID controller to adjust the working parameters. Although this method is simple and easy to implement, it is difficult to provide sufficient control accuracy and flexibility in the face of complex and changeable working environments, which limits its application effect in power systems. Summary of the invention

[0004] The embodiment of the present invention provides a micro-control ratio testing method and system based on a DCS control system, so as to solve the problem that it is difficult to provide sufficient control accuracy and flexibility in the prior art.

[0005] In a first aspect, an embodiment of the present invention provides a micro-control ratio testing method based on a DCS control system, comprising: Obtain and initialize the working parameters of the micro-control ratio test equipment through the DCS control system, the working parameters including temperature, pressure, and current, and feedback the working status in real time through sensors; Controlling the micro-control ratio test device to start according to a predetermined test sequence, and continuously recording the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions; Using a DCS control system to monitor the received change value in real time, and using a multivariate statistical process control method to analyze the change value to detect an abnormal trend of the change value, and combining a corresponding multivariate statistical process control model to predict a change trend of the change value based on the abnormal trend; In the multivariable statistical process control model, determining the deviation between the change value and the set standard value, and adjusting the working parameters of the micro-control ratio test device according to the deviation; Using a genetic algorithm to optimize the adjustment process of the working parameters, and restarting the micro-control ratio test device according to the adjusted working parameters, and repeating the change value monitoring, deviation determination and working parameter adjustment process until the deviation between the change value and the set standard value is less than the deviation threshold; When the working parameters of the micro-control ratio test equipment reach the preset accuracy requirements, the final micro-control ratio test results are output through the DCS control system. The test results include the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

[0006] In a second aspect, an embodiment of the present invention provides a micro-control ratio test system based on a DCS control system, comprising: An acquisition module is used to acquire and initialize the working parameters of the micro-control ratio test equipment through the DCS control system, wherein the working parameters include temperature, pressure, and current, and to provide real-time feedback of the working status through sensors; A recording module, used to control the start-up of the micro-control ratio test device according to a predetermined test sequence, and continuously record the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions; A monitoring module, for monitoring the received change value in real time by using a DCS control system, and analyzing the change value by using a multivariate statistical process control method to detect an abnormal trend of the change value, and predicting a change trend of the change value based on the abnormal trend in combination with a corresponding multivariate statistical process control model; A determination module, used for determining the deviation between the change value and the set standard value in the multivariable statistical process control model, and adjusting the working parameters of the micro-control ratio test device according to the deviation; an adjustment module, which optimizes the adjustment process of the working parameters by using a genetic algorithm, and restarts the micro-control ratio test device according to the adjusted working parameters, and repeats the change value monitoring, deviation determination and working parameter adjustment process until the deviation between the change value and the set standard value is less than a deviation threshold; The output module is used to output the final micro-control ratio test result through the DCS control system when the working parameters of the micro-control ratio test equipment reach the preset accuracy requirements. The test result includes the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

[0007] In a third aspect, an embodiment of the present invention provides a computing device, comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a micro-control ratio test method based on a DCS control system as described in any one of the first aspects.

[0008] In a fourth aspect, an embodiment of the present invention provides a computer storage medium storing a computer program, which, when executed by a computer, implements a micro-control ratio testing method based on a DCS control system as described in any one of the first aspects of the rights.

[0009] Beneficial effects of the present invention: In the embodiment of the present invention, the working parameters of the micro-control ratio test equipment are obtained and initialized through the DCS control system, and the working parameters include temperature, pressure, and current, and the working status is fed back in real time through the sensor; the micro-control ratio test equipment is controlled to start according to a predetermined test sequence, and the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions are continuously recorded; the DCS control system is used to monitor the received change value in real time, and the multivariate statistical process control method is used to analyze the change value to detect the abnormal trend of the change value, and the change trend of the change value is predicted based on the abnormal trend in combination with the corresponding multivariate statistical process control model; in the multivariate statistical process In the control model, the deviation between the change value and the set standard value is determined, and the working parameters of the micro-control ratio test device are adjusted according to the deviation; the adjustment process of the working parameters is optimized by a genetic algorithm, and according to the adjusted working parameters, the micro-control ratio test device is restarted, and the change value monitoring, deviation determination and working parameter adjustment process are repeated until the deviation between the change value and the set standard value is less than the deviation threshold; when the working parameters of the micro-control ratio test device meet the preset accuracy requirements, the final micro-control ratio test results are output through the DCS control system, and the test results include the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters. The technical solution provided by the present invention not only solves the problems existing in the prior art, but also further improves the performance of the micro-control ratio test device, so that it can maintain a high degree of stability and accuracy in a complex and changeable working environment.

[0010] These and other aspects of the present invention will become more apparent from the following description of the embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0012] Figure 1 A flow chart of a micro-control ratio test method based on a DCS control system is provided for an embodiment of the present invention; Figure 2A schematic diagram of the structure of a micro-control ratio test system based on a DCS control system provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of a computing device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0013] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0014] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0015] 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0016] Figure 1 A flow chart of a microcontroller ratio test method based on a DCS control system is provided for an embodiment of the present invention. Figure 1 As shown, the method includes: 101. Obtain and initialize the working parameters of the micro-control ratio test equipment through the DCS control system, wherein the working parameters include temperature, pressure, and current, and feedback the working status in real time through the sensor; In this step: DCS control system (Distributed Control System) is a computer control system used for industrial process control. It consists of multiple controllers scattered on site, which are connected to the central monitoring system through a network. The DCS system can realize centralized monitoring and decentralized control of the production process, improving the reliability and maintainability of the system.

[0017] The micro-control ratio test equipment is a device used to accurately measure and control the ratio value. The ratio value refers to the ratio between two related quantities, such as the ratio of the primary voltage to the secondary voltage of the transformer. In the power system, the accurate ratio value is very important to ensure the normal operation of the equipment.

[0018] Working parameters refer to various factors that affect the performance of micro-control ratio test equipment, including: Temperature: The ambient temperature of the equipment.

[0019] Pressure: The environmental pressure in which the equipment operates.

[0020] Current: The strength of the electrical current passing through a device.

[0021] Sensors are devices used to detect physical quantities and convert them into electrical signals or other forms of signals. In this step, sensors are used to monitor parameters such as temperature, pressure, and current in real time, and feed back changes in these parameters to the DCS control system.

[0022] In the embodiment of the present invention, it is assumed that there is a micro-control ratio test device used in a power system, and it is necessary to maintain precise control of the ratio value under different working conditions.

[0023] The following are the specific implementation steps: Obtain and initialize the working parameters of the micro-control ratio test equipment through the DCS control system: In this step, you first need to start the DCS control system, and obtain and initialize the working parameters of the micro-control ratio test equipment through the DCS system. The specific implementation steps are as follows: Initialize working parameters: Set the initial working parameter values, such as setting the temperature to 25°C, the pressure to 1atm (atmospheric pressure), and the current to 5A.

[0024] Configure sensors: Install temperature sensors (such as thermocouples), pressure sensors (such as pressure transmitters), and current sensors (such as current transformers), and establish communication connections with these sensors through the DCS system.

[0025] Real-time feedback of working status through sensors: In the DCS control system, sensors are used to monitor the changes in working parameters in real time and feed these changes back to the control system. The specific implementation steps are as follows: Temperature monitoring: The temperature sensor monitors the operating temperature of the equipment in real time and transmits the temperature value to the DCS control system through the communication interface.

[0026] Pressure monitoring: The pressure sensor monitors the working pressure of the equipment in real time and transmits the pressure value to the DCS control system.

[0027] Current monitoring: The current sensor monitors the operating current of the equipment in real time and transmits the current value to the DCS control system.

[0028] Assume that at a certain moment, the temperature measured by the temperature sensor is 26°C and the pressure measured by the pressure sensor is 1.05 , the current measured by the current sensor is 5.1 A. These data are transmitted to the DCS control system in real time through the communication interface.

[0029] Suppose there is a specific test case as follows: The initial settings were temperature of 25°C, pressure of 1 atm, and current of 5A.

[0030] After the device has been running for a period of time, the actual temperature measured by the temperature sensor is 26°C, the actual pressure measured by the pressure sensor is 1.05atm, and the actual current measured by the current sensor is 5.1A.

[0031] At this point, the DCS control system will receive these real-time data and process them as follows: Initialize working parameters: ;in, represents the initial temperature, represents the initial pressure, Indicates the initial current.

[0032] Real-time monitoring of working status: ;in, Indicates the current temperature. Indicates the current pressure, Indicates the current.

[0033] Next, the system will conduct further analysis and control based on these real-time data to ensure that the transformation ratio value remains within the preset standard range.

[0034] From the above embodiments, it can be seen that obtaining and initializing working parameters through the DCS control system and providing real-time feedback of the working status through sensors can provide accurate data support for subsequent testing and control processes, thereby achieving more precise control.

[0035] 102. Control the micro-control ratio test device to start according to a predetermined test sequence, and continuously record the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions; In this step, the predetermined test sequence refers to a series of predefined test steps or conditions that guide the micro-control ratio test equipment to perform tests in a certain order. These sequences usually contain different working conditions that the equipment needs to experience in order to evaluate its performance under various conditions.

[0036] Controlled startup means starting the micro-control ratio test equipment through the DCS control system according to the predetermined test sequence. This means that the DCS system will gradually start and control the various operations of the equipment according to the preset conditions and sequence.

[0037] Continuous recording means that during the entire test process, the changes in various parameters of the equipment under different working conditions are continuously recorded, including the change value of the micro-control ratio and the fluctuations of related working parameters such as temperature, pressure, current, etc.

[0038] The change value of the micro-control ratio refers to the change of the ratio value relative to the set standard value during the test. This usually involves real-time monitoring of the ratio value and recording its changes over time and working conditions.

[0039] In the embodiment of the present invention, it is assumed that there is a micro-control ratio test device used in a power system, and it is necessary to maintain accurate control of the ratio value under different working conditions. The following are the specific implementation steps: Control the micro-control ratio test equipment to start according to the predetermined test sequence: In this step, the DCS control system will start the micro-control ratio test equipment according to the pre-defined test sequence and ensure that the equipment operates according to the predetermined conditions. The specific implementation steps are as follows: Define a test sequence: Define a series of test conditions, such as increasing the temperature from 25°C to 35°C, the pressure from 1atm to 1.2atm, and the current from 5A to 6A.

[0040] Start the device: According to the defined test sequence, set different working parameters in sequence and start the device for testing.

[0041] Continuously record the change of micro-control ratio and the fluctuation of working parameters under different working conditions: In the DCS control system, sensors are used to monitor the changes in working parameters in real time and record the changes in the micro-control ratio. The specific implementation steps are as follows: Record the ratio value: Under each working condition, record the actual measured value of the micro-control ratio and compare it with the set standard value.

[0042] Record fluctuations in operating parameters: record changes in parameters such as temperature, pressure, current, etc., and ensure that these data are recorded synchronously with changes in the transformation ratio.

[0043] Suppose there is a specific test case as follows: Test sequence: Test condition 1: temperature 25°C, pressure 1atm, current 5A; Test condition 2: temperature 30°C, pressure 1.1atm, current 5.5A; Test condition 3: temperature 35°C, pressure 1.2atm, current 6A.

[0044] Recording data: Data under test condition 1: ; Data under test condition 2: ; Data under test condition 3: ; in, B Indicates the change value of the micro-control ratio. T Indicates temperature, P Indicates pressure, I Indicates current.

[0045] Data Record: Assume that the standard transformation ratio is set to , then the change values ​​under each test condition are: Change value under test condition 1: ; Change value under test condition 2: ; Change value under test condition 3: ; Through the above embodiments, it can be seen that by controlling the micro-control ratio test equipment to start according to a predetermined test sequence through the DCS control system, and continuously recording the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions, accurate data support can be provided for subsequent analysis and control. This helps to ensure that the ratio value always remains within the preset standard range.

[0046] 103. Using a DCS control system to monitor the received change value in real time, and using a multivariate statistical process control method to analyze the change value to detect an abnormal trend of the change value, and combining a corresponding multivariate statistical process control model to predict a change trend of the change value based on the abnormal trend; In this step, real-time monitoring refers to the continuous collection of data from sensors through the DCS control system, and the immediate processing and analysis of these data. This process ensures that the control system can detect and respond to any abnormal changes in a timely manner. Multivariable Statistical Process Control Method Multivariate Statistical Process Control (MVSPC) is a statistical tool used to monitor and control the process of a multivariate system. It helps detect abnormal trends in the process and predict future changes by analyzing the relationship between multiple related variables.

[0047] Abnormal trend detection is to analyze the data collected in real time to identify the trend of changes that are beyond the normal range. These abnormal trends may be caused by equipment failure, environmental changes or other factors.

[0048] Change trend prediction refers to the use of statistical models to predict future change trends based on current and past data. This helps to take measures in advance to prevent the ratio value from deviating from the set standard value.

[0049] In the embodiment of the present invention: Suppose there is a micro-control ratio test device used in a power system, which needs to maintain precise control of the ratio value under different working conditions. The following are the specific implementation steps: Use the DCS control system to monitor the received change values ​​in real time: In this step, the DCS control system will collect data from temperature sensors, pressure sensors and current sensors in real time, and monitor the received change values ​​in real time. The specific implementation steps are as follows: Data acquisition: Continuously collect changes in temperature, pressure and current through sensors.

[0050] Data transmission: Transmit these data to the DCS control system in real time.

[0051] Analyze the variation using multivariate statistical process control methods In the DCS control system, these change values ​​are analyzed by multivariate statistical process control methods to detect abnormal trends in the change values. The specific implementation steps are as follows: Data preprocessing: Preprocess the collected data, such as removing noise, smoothing data, etc.

[0052] Multivariate statistical analysis: Use multivariate statistical methods (such as principal component analysis (PCA), partial least squares regression (PLS), etc.) to analyze the correlation between data and identify abnormal trends.

[0053] Detect abnormal trends in the changing values: During the analysis, the multivariate statistical process control model is used to detect abnormal trends in the changing values. The specific implementation steps are as follows: Build model: Build a multivariate statistical process control model based on historical data.

[0054] Anomaly detection: Use models to identify trends that are outside the normal range.

[0055] Combined with the corresponding multivariate statistical process control model, the change trend of the change value is predicted based on the abnormal trend Based on the detected abnormal trend, the multivariate statistical process control model is used to predict the change trend of the change value. The specific implementation steps are as follows: Trend forecasting: predicting future trends based on models.

[0056] Measures to be taken: According to the prediction results, timely adjust the working parameters to prevent the transformation ratio from deviating from the set standard value.

[0057] Suppose there is a specific test case as follows: Real-time monitoring data: Temperature sensor data: 25°C → 26°C → 27°C; Pressure sensor data: 1atm→1.05atm→1.1atm; Current sensor data: 5A→5.1A→5.2A; Variable ratio data: 1.005→1.010→1.015; Multivariate Statistical Process Control Models: The principal component analysis (PCA) method was used to analyze the correlation between the data.

[0058] A PCA model is built and used to detect abnormal trends.

[0059] Example Calculation Assume that a PCA model has been established and the following results are obtained: Principal component scores: The first principal component score: -0.5, 0.0, 0.5; The second principal component score: -0.2, 0.0, 0.2; Anomaly Detection: The second set of data points (26°C, 1.05atm, 5.1A, 1.010) was detected to be out of the normal range.

[0060] Trend prediction: Based on the PCA model to predict future change trends, it is expected that the temperature will continue to rise, the pressure and current will also increase accordingly, and the transformation ratio value may continue to deviate from the standard value.

[0061] Suppose we use the PCA model to detect abnormal trends and predict changing trends. The PCA model can be expressed as: ; in, X is the original data matrix, T is the principal component score matrix. P is the loading matrix, E is the residual matrix.

[0062] Assume that the principal component score matrix has been obtained T and the load matrix P , then the residual matrix can be calculated E : ; By calculating the residual matrix E , it is possible to detect which data points deviate from the normal range. For example, if the residual of a data point exceeds a preset threshold, the data point is considered abnormal.

[0063] Complete Example Assume the following data: Original data matrix X : ; Principal component score matrix T : ; Loading Matrix P : ; Calculate the residual matrix : ; Assume the calculation result is: ; Assuming that the preset anomaly threshold is 0.05, the first and third groups of data points can be detected as abnormal data points.

[0064] Through the above embodiments, it can be seen that by using the DCS control system to monitor and analyze the change value in real time using the multivariable statistical process control method, abnormal trends can be detected in time, and future changes can be predicted based on these trends, so that measures can be taken in advance to ensure that the transformation ratio value remains within the preset standard range.

[0065] 104. In the multivariable statistical process control model, determine the deviation between the change value and the set standard value, and adjust the working parameters of the micro-control ratio test device according to the deviation; Optionally, the step 104 of determining the deviation between the change value and the set standard value in the multivariable statistical process control model, and adjusting the working parameters of the micro-control ratio test equipment according to the deviation, includes: defining a set of set standard value parameter sets in the multivariable statistical process control model, the standard value parameter set including set standard values ​​of target micro-control ratio value, working parameters, environmental factors, internal state factors, and external interference factors; inputting the change value received by the DCS control system into the multivariable statistical process control model, the change value including at least the actual measured value of the micro-control ratio and the parameter fluctuation under working conditions; calculating the deviation between the change value and the set standard value; and generating an adjustment instruction according to the deviation, the adjustment instruction being used to adjust the working parameters of the micro-control ratio test equipment to reduce or eliminate the deviation.

[0066] In this step: Multivariate Statistical Process Control (MVSPC) is a method for monitoring and controlling processes in multivariable systems. It helps detect abnormal trends in the process and predict future changes by analyzing the relationship between multiple related variables.

[0067] The set of standard value parameters refers to a set of target values ​​defined in the multivariable statistical process control model, which include the target value of the micro-control ratio, working parameters (such as temperature, pressure, current, etc.), environmental factors (such as humidity, external temperature, etc.), internal state factors (such as equipment wear degree) and set standard values ​​of external interference factors (such as power grid fluctuations).

[0068] The variation value refers to the actual measured micro-control ratio value and parameter fluctuation under working conditions during the test. These variation values ​​will be compared with the set standard value to determine whether there is a deviation.

[0069] Deviation is the difference between the actual measured value and the set standard value. In the multivariate statistical process control model, the deviation is calculated to detect whether there is an abnormal situation and adjust the operating parameters accordingly to reduce or eliminate this deviation.

[0070] Adjustment instructions refer to operation commands generated based on deviations, which are used to adjust the working parameters of the micro-control ratio test equipment to make them closer to the set standard values.

[0071] In the embodiment of the present invention: Suppose there is a micro-control ratio test device used in a power system, which needs to maintain precise control of the ratio value under different working conditions. The following are the specific implementation steps: Define a set of set standard value parameters in a multivariate statistical process control model: In this step, a set of set standard values ​​including target micro-control ratio, working parameters, environmental factors, internal state factors, and external interference factors is defined. The specific implementation steps are as follows: Define a set of standard values: Determine the target value of the microcontrol ratio, e.g. , as well as related standard values ​​of temperature, pressure, current, etc.

[0072] Consider environmental factors: Consider environmental factors that may affect the ratio value, such as humidity, external temperature, etc.

[0073] Consider internal status factors: Consider the internal status of the device itself, such as the degree of wear and tear of the device.

[0074] Consider external interference factors: Consider external interference factors that may affect the transformation ratio, such as power grid fluctuations.

[0075] Input the change value received by the DCS control system into the multivariable statistical process control model: In this step, the change value received by the DCS control system is input into the multivariable statistical process control model. The specific implementation steps are as follows: Collect change values: Collect the actual measured micro-control ratio values ​​and parameter fluctuations under working conditions.

[0076] Input variation values: Input the collected variation values ​​into the multivariate statistical process control model.

[0077] Calculating the deviation between the change value and the set standard value; In this step, the deviation between the change value and the set standard value is calculated. The specific implementation steps are as follows: Calculate Deviation: Calculate the deviation based on the change value and the set standard value.

[0078] Based on the deviation, an adjustment instruction is generated: In this step, an adjustment instruction is generated according to the calculated deviation to adjust the working parameters of the micro-control ratio test equipment. The specific implementation steps are as follows: Generate adjustment instructions: Generate adjustment instructions based on the deviation to reduce or eliminate the deviation.

[0079] Execute adjustment instructions: send adjustment instructions to the DCS control system to adjust the working parameters of the micro-control ratio test equipment.

[0080] Assume the following data: Set the standard value set: Target micro-control ratio: ; Temperature standard value: ; Pressure standard value: ; Current standard value: ; Change value: Actual measured value of micro-control ratio: ; Temperature change value: ; Pressure change value: ; Current change value: ; Calculate the deviation: Transformation ratio deviation: ; Temperature deviation: ; Pressure deviation: ; Current Deviation: ; Generate adjustment instructions: Adjustment instructions: Lower the temperature to , the pressure is reduced to 1atm and the current is reduced to 5A.

[0081] Assume that a multivariate statistical process control model is used to calculate the deviation and generate adjustment instructions. The specific steps are as follows: Define a set of standard values: Target micro-control ratio: ; Temperature standard value: ; Pressure standard value: ; Current standard value: ; Calculate the deviation: Transformation ratio deviation: ; Temperature deviation: ; Pressure deviation: ; Current Deviation: ; Generate adjustment instructions: if , then adjust the working parameters, where is the maximum allowed deviation.

[0082] if , then adjust the temperature, where is the maximum permissible temperature deviation.

[0083] if , then adjust the pressure, where is the maximum permissible pressure deviation.

[0084] if , then adjust the current, where is the maximum current deviation allowed.

[0085] Assume the following specific values: Set standard value: Target micro-control ratio: ; Temperature standard value: ; Pressure standard value: ; Current standard value: ; Change value: Actual measured value of micro-control ratio: ; Temperature change value: ; Pressure change value: ; Current change value: ; Calculate the deviation: Transformation ratio deviation: ; Temperature deviation: ; Pressure deviation: ; Current Deviation: ; Generate adjustment instructions: If the maximum permissible deviation ,but , the working parameters need to be adjusted.

[0086] Generate adjustment command: Reduce temperature to , the pressure is reduced to 1atm and the current is reduced to 5A.

[0087] Through the above embodiments, it can be seen that by defining a set of set standard value parameter sets in the multivariable statistical process control model and generating adjustment instructions based on the deviation between the change value and the set standard value, the working parameters of the micro-control ratio test equipment can be effectively adjusted to reduce or eliminate the deviation, thereby ensuring that the ratio value reaches the preset standard value.

[0088] Optionally, the calculating of the deviation between the change value and the set standard value in step 104 includes: The deviation between the change value and the set standard value is calculated by the following formula: ; ; in, Indicates the deviation between the change value and the set standard value, Indicates the deviation threshold, i.e. the maximum deviation allowed; Indicates The target micro-control ratio value of the measurement; Indicates the set standard value of the target micro-control ratio; Indicates The weighting factor of the secondary measurement; Index in Indicates the different measurement times of the target micro-control ratio value, Indicates the number of measurements; represents the coupling coefficient; Index in j Represents the measured values ​​of different operating parameters, Indicates the number of working parameters; Indicates j The measured values ​​of the operating parameters; Indicates the set standard value of the working parameter; Indicates the number of working parameters; Indicates the weight coefficient of environmental factors; Index in Represents the measured values ​​of different environmental factors, Indicates the number of environmental factors; Indicates The measurement value of an environmental factor; Indicates the set standard value of environmental factors; Indicates the weight coefficient of the internal state factor of the device; Indicates The measurement of an internal state factor; Indicates the set standard value of the internal state factor; Index in Represents measurements of various device internal status factors; Represents the number of internal state factors; Represents the weight coefficient of external interference factors; Indicates m The measured value of an external disturbance factor; Indicates the set standard value of external interference factors; Index in Represents the measured values ​​of different external disturbance factors; R Represents the number of external interference factors.

[0089] Optionally, after generating an adjustment instruction according to the deviation in step 104, the method further includes: The adjustment instruction is transmitted to the micro-control ratio test device through the DCS control system to dynamically adjust the working parameters until the deviation between the change value and the set standard value is less than the deviation threshold, and the deviation of the comprehensive fluctuation situation is also less than the deviation threshold.

[0090] The adjustment instruction is transmitted to the micro-control ratio test device through the DCS control system to dynamically adjust the working parameters, including: The working parameters are adjusted dynamically through the following formula: ; in, Indicates the new working parameter value, Indicates the old working parameter value; Respectively represent the deviation between the change value and the set standard value, the time from the beginning to the current time t The integral value of the internal deviation ΔB, the rate of change of the deviation ΔB, the target micro-control ratio value, the working parameters, the environmental influence, the internal state factors and the gain coefficient of the external interference factors, ΔB represents the deviation between the change value and the set standard value; Indicates the time from the beginning to the current time t The integral value of the internal deviation ΔB, that is, the cumulative effect of the deviation over time; It represents the rate of change of the deviation ΔB, that is, the speed at which the deviation changes over time; is a nonlinear function that takes into account the variable ratio Over time t ; is a nonlinear function that takes into account the operating parameters Over time t ; is a nonlinear function that takes environmental factors into account Over time t ; Is a nonlinear function that takes into account the internal state of the device Over time t ; is a nonlinear function used to take external interference factors into account Over time t of the changing trend.

[0091] In this step: Calculate the deviation between the change value and the set standard value: This step is to calculate the comprehensive deviation between the change value of the micro-control ratio test equipment and the set standard value through a complex weighted formula. This deviation not only takes into account the ratio value itself, but also takes into account the influence of working parameters, environmental factors, internal state factors and external interference factors.

[0092] Adjust the working parameters of the micro-control ratio test equipment: This step is to adjust the working parameters of the equipment based on the calculated comprehensive deviation to make it closer to the set standard value. The adjustment formula takes into account the influence of proportional (P), integral (I), differential (D) control terms and some nonlinear functions.

[0093] In the embodiment of the present invention, it is assumed that there is a micro-control ratio test device used in a power system, and it is necessary to maintain accurate control of the ratio value under different working conditions. The following are the specific implementation steps: Calculate the deviation between the change value and the set standard value: Assume the following data: The target micro-control ratio setting standard value: ; Number of working parameters: M =3 (temperature, pressure, current); Number of environmental factors: L =2(humidity, external temperature); Number of internal state factors: Q =1 (equipment wear degree); Number of external interference factors: R =1 (grid fluctuation); Assume the measurement data is as follows: Transformation ratio: ; temperature: ; pressure: ; Current: ; humidity: ; External temperature: ; Equipment wear degree: ; Grid fluctuations: ; Assume that the standard values ​​are set as follows: temperature: ; pressure: ; Current: ; humidity: ; External temperature: ; Equipment wear degree: ; Grid fluctuations: ; Assume the following weight factors and coefficients: ; ; Calculate the combined deviation: ; Substitute specific values: ; Calculation results: ; ; Adjust the working parameters of the micro-control ratio test equipment: Assume the following gain factors: ; Assume that the integral and differential terms are as follows: Integral Item: ; Differential term: ; Assume the nonlinear function is as follows: ; Adjust working parameters: ; Substitute specific values: ; ; Assume old operating parameter values , then the new working parameter value is: ; Through the above embodiments, it can be seen that by calculating the deviation between the change value and the set standard value and adjusting the working parameters of the micro-control ratio test equipment according to the comprehensive deviation, the deviation can be effectively reduced or eliminated, making the ratio value closer to the set standard value. This helps to improve the accuracy of the test and the stability of the equipment.

[0094] Optionally, the method further comprises: The deviation of the comprehensive volatility is calculated by the following calculation formula; ; in, Indicates the deviation of the comprehensive volatility; Indicates i The micro-control ratio value measured for the second time, i Indicates different number of measurements; It represents the average value of the target micro-control ratio; Indicates the deviation threshold, i.e. the maximum deviation allowed; is the coupling coefficient; Indicates j The measured values ​​of the operating parameters, j Indicates different working parameters; Indicates the average value of the working parameter; Indicates the weight coefficient of environmental factors; Indicates k The measured value of an environmental factor, k Indicates different environmental factors; It represents the average value of environmental factors; Represents the weight coefficient of the internal state factor; Indicates l The measurement value of the internal state factor, l Indicates different internal state factors; represents the average value of internal state factors; Represents the weight coefficient of external interference factors; Indicates m The measured value of an external disturbance factor, m Indicates different external interference factors; represents the average value of external interference factors; M Indicates the number of working parameters; L Indicates the number of environmental factors; Q Represents the number of internal state factors; R Represents the number of external interference factors.

[0095] In this step, dynamically adjusting the working parameters means generating adjustment instructions according to the calculated deviations during the test, and adjusting the working parameters of the micro-control ratio test equipment in real time through the DCS control system to gradually approach the set standard values. This dynamic adjustment can ensure that the equipment is always in the best working state during the test.

[0096] A distributed control system (DCS) is an automation system used for industrial process control. It can collect data from different sensors, process the data, and issue instructions to actuators to control the process. In this embodiment, the DCS control system is responsible for receiving adjustment instructions generated by the multivariable statistical process control model and sending these instructions to the micro-control ratio test equipment to dynamically adjust its working parameters.

[0097] The deviation of the comprehensive fluctuation refers to the comprehensive deviation value of the fluctuation of various factors during the operation of the system. It is also a specific value used to evaluate the stability of the system.

[0098] The deviation threshold refers to the maximum deviation allowed during the test. The test is considered successful only when the deviation is less than the deviation threshold. The deviation threshold can ensure the reliability and accuracy of the test results.

[0099] In order to ensure that the system meets the deviation between the actual measured value and the set standard value during operation Within the allowable range (i.e., deviation threshold), and meeting the deviation of the comprehensive fluctuation situation Within the permissible range (i.e., deviation threshold), the following two conditions can be set: The deviation between the change value and the set standard value is less than the preset deviation threshold: , which indicates the deviation between the actual measured value and the set standard value Must be less than the preset deviation threshold ; The deviation of the comprehensive volatility is less than the preset deviation threshold: , which represents the comprehensive deviation value of the fluctuation of various factors in the system Must be less than the preset deviation threshold ; By calculation and , can comprehensively evaluate the performance and stability of the system, among which, Focuses on the deviation between the actual measured value and the set standard value to ensure that the system operates within the set standard range. Focus on the fluctuation of various factors in the system to ensure the overall stability of the system. By setting a preset deviation threshold , which can ensure that the system will not cause performance degradation or failure during operation due to exceeding the allowable deviation range. This is particularly important for key areas such as power systems and chemical production, and can improve the reliability and safety of the system.

[0100] In the embodiment of the present application, it is assumed that a micro-control ratio test device is used in the power system, and it is necessary to maintain accurate control of the ratio value under different working conditions. The following are the specific implementation steps and data substitution: Initialize working parameters: Initial temperature:

[0101] Initial pressure:

[0102] Initial current:

[0103] Real-time monitoring of working status Current Temperature:

[0104] Current Pressure:

[0105] Current:

[0106] Substitute the specific data, assuming the following specific data: Micro-control ratio:

[0107] Working parameters:

[0108] Environmental factors:

[0109] Internal state factors:

[0110] External interference factors:

[0111] Average value of target micro-control ratio:

[0112] Average values ​​of operating parameters:

[0113] Average values ​​of environmental factors:

[0114] Mean values ​​of internal state factors:

[0115] Average value of external interference factors:

[0116] Weight coefficient:

[0117]

[0118] Deviation threshold: ; Calculate the deviation of the comprehensive volatility

[0119] Variance of micro-control ratio: Variance of operating parameters: Variance of environmental factors: Variance of internal state factors: Variance of external disturbance factors:

[0120] Deviation of comprehensive volatility : Judgment conditions Deviation between the change value and the set standard value:

[0121] Assumptions ,but , the conditions are met.

[0122] Deviation of comprehensive volatility:

[0123] ,but , the conditions are not met.

[0124] Through the above embodiments, it can be seen that although meets the preset deviation threshold, but The preset deviation threshold is exceeded. This indicates that the system has large fluctuations during operation and needs further adjustment and optimization to ensure the stability and performance of the system. In this way, the performance and stability of the system can be fully evaluated to ensure that the system can operate normally under various working conditions. I hope this helps you better understand and interpret these formulas. If you have more specific questions or need further explanation, please feel free to let me know.

[0125] 105. Optimize the adjustment process of the working parameters by using a genetic algorithm, restart the micro-control ratio test device according to the adjusted working parameters, and repeat the change value monitoring, deviation determination and working parameter adjustment process until the deviation between the change value and the set standard value is less than the deviation threshold; In this step: Genetic Algorithm (GA) is a search heuristic algorithm inspired by natural selection and genetics. It simulates the evolutionary process in nature, including operations such as selection, crossover (hybridization) and mutation, to find the best solution to the optimization problem.

[0126] The adjustment process of working parameters refers to the process of optimizing the ratio value by changing the values ​​of parameters such as temperature, pressure, current, etc. In this process, it is necessary to find an optimal combination of working parameters so that the ratio value is as close to the set standard value as possible.

[0127] Restarting the micro-control ratio test equipment means starting the equipment again for testing after adjusting the working parameters to verify whether the new working parameters can make the ratio value reach the preset standard range.

[0128] This means that after each adjustment of the operating parameters, it is necessary to re-monitor the change in the ratio value and determine its deviation from the set standard value. If the deviation still exceeds the preset range, the genetic algorithm needs to be used again to adjust the operating parameters until the ratio value meets the requirements.

[0129] In the embodiment of the present invention: Suppose there is a micro-control ratio test device used in a power system, which needs to maintain precise control of the ratio value under different working conditions. The following are the specific implementation steps: The adjustment process of the working parameters is optimized using a genetic algorithm: In this step, a genetic algorithm will be used to find an optimal combination of working parameters so that the transformation ratio is as close as possible to the set standard value. The specific implementation steps are as follows: Initialize the population: Randomly generate a set of initial values ​​of working parameters as individuals in the population.

[0130] Fitness function: Define the fitness function to evaluate the quality of each individual (combination of working parameters). The fitness function can be the inverse of the deviation between the variable ratio value and the set standard value.

[0131] Selection operation: Select excellent individuals to enter the next generation based on the fitness function.

[0132] Crossover operation: Generate new individuals by exchanging some parameter values ​​of certain individuals.

[0133] Mutation operation: Randomly change the parameter values ​​of some individuals to increase population diversity.

[0134] Restart the micro-control ratio test device according to the adjusted working parameters After optimizing the working parameters, it is necessary to restart the micro-control ratio test equipment and perform the test according to the new working parameters. The specific implementation steps are as follows: Set new parameters: Set the optimal operating parameters found by the genetic algorithm into the DCS control system.

[0135] Start the equipment: Restart the micro-control ratio test equipment according to the new working parameters.

[0136] Repeat the process of changing value monitoring, deviation determination and operating parameter adjustment After each adjustment of the working parameters, it is necessary to re-monitor the change in the ratio value and determine its deviation from the set standard value. If the deviation still exceeds the preset range, it is necessary to use the genetic algorithm to adjust the working parameters again. The specific implementation steps are as follows: Change value monitoring: real-time monitoring of changes in transformation ratio value.

[0137] Deviation determination: Calculate the deviation between the ratio value and the set standard value.

[0138] Determine whether the standard is met: If the deviation still exceeds the preset range, return to step 1 and continue to optimize the working parameters; otherwise, stop the optimization process.

[0139] Suppose there is a specific test case as follows: Set standard value: ; Initial working parameters: temperature: ; pressure: ; Current: ; Initial change value: Assume the initial change value is: Transformation ratio: ; deviation: ; Genetic algorithm optimization: Initialize the population: Population size: 10 Randomly generate 10 sets of working parameter combinations.

[0140] Fitness function: ; in x Represents a set of working parameters, It is the deviation between the ratio value and the set standard value.

[0141] Select an action: The top 50% individuals with the highest fitness are selected to enter the next generation.

[0142] Crossover operation: Perform pairwise crossover on the selected individuals to generate new individuals.

[0143] Mutation operation: Make minor adjustments to certain parameters of new individuals to increase population diversity.

[0144] Optimized parameters After several generations of optimization, it is assumed that a set of optimal working parameter combinations is found: temperature: ; pressure: ; Current: ; Restart your device Restart the device according to the optimized parameters and test it: New change value: ; New deviations: ; Repeat the process: If the new deviation still exceeds the preset range, the optimization process continues; otherwise, the optimization is stopped.

[0145] Complete example: Assume the following data: Initial population: Individual 1: (25,1,5) Individual 2: (24,1,5.5) Individual 3: (26, 1.1, 4.5) ... (10 individuals in total) Fitness calculation: The fitness of individual 1 is: ; The fitness of individual 2 is: ; The fitness of individual 3 is: ; ...(calculate the fitness of other individuals) Select an action: The top five individuals with the highest fitness are selected to enter the next generation.

[0146] Crossover operation: Generate new individuals, for example, by crossing individual 1 and individual 2 to generate new individuals: (24.5, 1.05, 5.25) Mutation operation: Make small adjustments to the new individual, for example: (24.6,1.045,5.2) Optimized parameters: The best individual: (26, 1.05, 5.1) Through the above embodiments, it can be seen that by optimizing the adjustment process of the working parameters through the genetic algorithm and restarting the micro-control ratio test device according to the adjusted working parameters, the optimal working parameter combination can be continuously approached, so that the ratio value reaches the preset standard range. This helps to improve the accuracy and efficiency of the test.

[0147] 106. When the working parameters of the micro-control ratio test equipment reach the preset accuracy requirements, the final micro-control ratio test results are output through the DCS control system. The test results include the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

[0148] In this step: The preset accuracy requirement means that during the test, the deviation between the ratio value of the micro-control ratio test equipment and the set standard value must be within an allowable range. Only when this deviation meets the preset requirements can the test be considered successful.

[0149] Outputting the final test results means generating a detailed test report through the DCS control system after the test is completed. This report should include the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

[0150] The measured value of the micro-control ratio refers to the ratio value actually measured during the test. This value reflects the actual performance of the device under different working conditions.

[0151] Measurement error is the deviation between a measured value and a set standard value. Measurement error can help evaluate the accuracy of a test and the performance of a device.

[0152] The historical change trajectory of control parameters refers to the change of control parameters such as temperature, pressure, current, etc. over time during the entire test process. This data can help analyze the behavior of the device under different conditions and provide a basis for future optimization.

[0153] In the embodiment of the present invention: Suppose there is a micro-control ratio test device used in a power system, which needs to maintain precise control of the ratio value under different working conditions. The following are the specific implementation steps: When the working parameters of the micro-control ratio test equipment reach the preset accuracy requirements; In this step, it is necessary to check whether the ratio value of the micro-control ratio test equipment meets the preset accuracy requirements. The specific implementation steps are as follows: Set accuracy requirement: Define the maximum allowable deviation between the ratio value and the set standard value.

[0154] Check test results: After each test, check whether the ratio value meets the preset accuracy requirements.

[0155] The final micro-control ratio test results are output through the DCS control system: When the ratio value meets the preset accuracy requirements, a detailed test report is generated through the DCS control system. The specific implementation steps are as follows: Generate a test report: The report should include the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

[0156] Storage and output reports: Store test reports in the DCS system database and output them to users. Suppose there is a specific test case as follows: Set standard value: ; Initial working parameters: temperature: ; pressure: ; Current: ; Initial change value: Assume the initial change value is: Transformation ratio: ; deviation: ; Optimized parameters: After several generations of optimization, it is assumed that a set of optimal working parameter combinations is found: temperature: ; pressure: ; Current: ; Restart your device: Restart the device according to the optimized parameters and test it: New change value: ; New deviations: ; Achieve preset accuracy requirements Assume a new bias Less than the preset deviation threshold (can be set as required).

[0157] Output the final test results: When the ratio value reaches the preset accuracy requirement, the DCS control system outputs the final micro-control ratio test result. The specific implementation steps are as follows: Generate a test report: Measured value of micro-control ratio: ; Measurement error: ; Historical change trajectory of control parameters: temperature: ; pressure: ; Current: ; Storing and exporting reports: The test report is stored in the database of the DCS system.

[0158] A report file containing all test results is generated and output to the user.

[0159] Assume that the generated test report looks like this: Microcontrol ratio test result report Test date: September 6, 2024 Device No.: 001 Test conditions: Set standard value: 1.000 Final test results: Micro-control ratio measurement value: 1.002 Measurement error: 0.002 Control parameter historical change trajectory: Temperature: 25°C -> 26°C Pressure: 1atm->1.05atm Current: 5A->5.1A in conclusion: The transformation ratio has reached the preset accuracy requirement.

[0160] Figure 2 A schematic diagram of the structure of a micro-control ratio test system based on a DCS control system is provided for an embodiment of the present invention. Figure 2 As shown, the device comprises: The acquisition module 21 is used to acquire and initialize the working parameters of the micro-control ratio test equipment through the DCS control system, wherein the working parameters include temperature, pressure, and current, and to feedback the working status in real time through the sensor; The recording module 22 is used to control the micro-control ratio test device to start according to a predetermined test sequence, and continuously record the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions; The monitoring module 23 is used to monitor the received change value in real time by using the DCS control system, and analyze the change value by using the multivariate statistical process control method to detect the abnormal trend of the change value, and predict the change trend of the change value based on the abnormal trend in combination with the corresponding multivariate statistical process control model; A determination module 24, for determining the deviation between the change value and the set standard value in the multivariable statistical process control model, and adjusting the working parameters of the micro-control ratio test device according to the deviation; The adjustment module 25 uses a genetic algorithm to optimize the adjustment process of the working parameters, and restarts the micro-control ratio test device according to the adjusted working parameters, and repeats the change value monitoring, deviation determination and working parameter adjustment process until the deviation between the change value and the set standard value is less than the deviation threshold; The output module 26 is used to output the final micro-control ratio test result through the DCS control system when the working parameters of the micro-control ratio test equipment reach the preset accuracy requirements. The test result includes the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

[0161] Figure 2 The micro-control ratio test system based on DCS control system can perform Figure 1 The implementation principle and technical effect of the micro-control ratio test method based on the DCS control system described in the embodiment shown will not be repeated. The specific way in which each module and unit performs operations in the micro-control ratio test system based on the DCS control system in the above embodiment has been described in detail in the embodiment of the method, and will not be elaborated here.

[0162] In one possible design, Figure 2 A micro-control ratio test system based on a DCS control system of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32; The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0163] The processing component 32 is used to: obtain and initialize the working parameters of the micro-control ratio test equipment through the DCS control system, the working parameters include temperature, pressure, and current, and feedback the working status in real time through sensors; control the start of the micro-control ratio test equipment according to a predetermined test sequence, and continuously record the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions; use the DCS control system to monitor the received change value in real time, and use a multivariate statistical process control method to analyze the change value to detect the abnormal trend of the change value, and combine the corresponding multivariate statistical process control model to predict the change trend of the change value based on the abnormal trend; in the multivariate statistical process control model, In the process control model, the deviation between the change value and the set standard value is determined, and the working parameters of the micro-control ratio test equipment are adjusted according to the deviation; the adjustment process of the working parameters is optimized by a genetic algorithm, and according to the adjusted working parameters, the micro-control ratio test equipment is restarted, and the change value monitoring, deviation determination and working parameter adjustment process are repeated until the deviation between the change value and the set standard value is less than the deviation threshold; when the working parameters of the micro-control ratio test equipment meet the preset accuracy requirements, the final micro-control ratio test results are output through the DCS control system, and the test results include the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

[0164] The processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also 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 to perform the above method.

[0165] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component 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, magnetic disk or optical disk.

[0166] Of course, the computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0167] The input / output interface provides an interface between the processing component and the peripheral interface module, which may be an output device, an input device, etc.

[0168] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0169] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0170] The embodiment of the present invention further provides a computer storage medium storing a computer program, which can achieve the above-mentioned Figure 1 The embodiment shown is a method for testing a micro-control ratio based on a DCS control system.

[0171] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0172] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0173] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0174] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A microcontroller ratio test method based on a DCS control system, characterized in that: include: Obtain and initialize the working parameters of the micro-control ratio test equipment through the DCS control system, the working parameters including temperature, pressure, and current, and feedback the working status in real time through sensors; Controlling the micro-control ratio test device to start according to a predetermined test sequence, and continuously recording the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions; Using a DCS control system to monitor the received change value in real time, and using a multivariate statistical process control method to analyze the change value to detect an abnormal trend of the change value, and combining a corresponding multivariate statistical process control model to predict a change trend of the change value based on the abnormal trend; In the multivariable statistical process control model, determining the deviation between the change value and the set standard value, and adjusting the working parameters of the micro-control ratio test device according to the deviation; Using a genetic algorithm to optimize the adjustment process of the working parameters, and restarting the micro-control ratio test device according to the adjusted working parameters, and repeating the change value monitoring, deviation determination and working parameter adjustment process until the deviation between the change value and the set standard value is less than the deviation threshold; When the working parameters of the micro-control ratio test equipment reach the preset accuracy requirements, the final micro-control ratio test results are output through the DCS control system. The test results include the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

2. The microcontroller ratio test method based on a DCS control system according to claim 1 is characterized in that: Determining the deviation between the change value and the set standard value in the multivariable statistical process control model, and adjusting the working parameters of the micro-control ratio test device according to the deviation, includes: A set of set standard value parameter sets is defined in the multivariable statistical process control model, wherein the set of standard value parameter sets includes set standard values ​​of target micro-control ratio, working parameters, environmental factors, internal state factors, and external interference factors; Inputting the change value received by the DCS control system into the multivariable statistical process control model, the change value at least including the actual measured value of the micro-control ratio and the parameter fluctuation under the working conditions; Calculating the deviation between the change value and the set standard value; An adjustment instruction is generated according to the deviation, and the adjustment instruction is used to adjust the working parameters of the micro-control ratio test device to reduce or eliminate the deviation.

3. The microcontroller ratio test method based on a DCS control system according to claim 2 is characterized in that: After generating the adjustment instruction according to the deviation, the method further includes: The adjustment instruction is transmitted to the micro-control ratio test device through the DCS control system to dynamically adjust the working parameters until the deviation between the change value and the set standard value is less than the deviation threshold, and the deviation of the comprehensive fluctuation situation is also less than the deviation threshold.

4. The microcontroller ratio test method based on a DCS control system according to claim 2 is characterized in that: The calculating the deviation between the change value and the set standard value comprises: The deviation between the change value and the set standard value is calculated by the following formula: ； ； in, Indicates the deviation between the change value and the set standard value, Indicates the deviation threshold, i.e. the maximum deviation allowed; Indicates The target micro-control ratio value of the measurement; Indicates the set standard value of the target micro-control ratio; Indicates The weighting factor of the secondary measurement; Index in Indicates the different measurement times of the target micro-control ratio value, Indicates the number of measurements; represents the coupling coefficient; Index in j Represents the measured values ​​of different operating parameters, Indicates the number of working parameters; Indicates j The measured values ​​of the operating parameters; Indicates the set standard value of the working parameter; Indicates the number of working parameters; Indicates the weight coefficient of environmental factors; Index in Represents the measured values ​​of different environmental factors, Indicates the number of environmental factors; Indicates The measurement value of an environmental factor; Indicates the set standard value of environmental factors; Indicates the weight coefficient of the internal state factor of the device; Indicates The measurement of an internal state factor; Indicates the set standard value of the internal state factor; Index in Represents measurements of various device internal status factors; Represents the number of internal state factors; Represents the weight coefficient of external interference factors; Indicates m The measured value of an external disturbance factor; Indicates the set standard value of external interference factors; Index in m Represents the measured values ​​of different external disturbance factors; R Represents the number of external interference factors.

5. The microcontroller ratio test method based on a DCS control system according to claim 3 is characterized in that: The adjustment instruction is transmitted to the micro-control ratio test device through the DCS control system to dynamically adjust the working parameters, including: The working parameters are adjusted dynamically through the following formula: ； in, Indicates the new working parameter value, Indicates the old working parameter value; Respectively represent the deviation between the change value and the set standard value, the time from the beginning to the current time t The integral value of the internal deviation ΔB, the rate of change of the deviation ΔB, the target micro-control ratio value, the working parameters, the environmental influence, the internal state factors and the gain coefficient of the external interference factors, ΔB represents the deviation between the change value and the set standard value; Indicates the time from the beginning to the current time t The integral value of the internal deviation ΔB, that is, the cumulative effect of the deviation over time; It represents the rate of change of the deviation ΔB, that is, the speed at which the deviation changes over time; is a nonlinear function that takes into account the variable ratio Over time t ; is a nonlinear function that takes into account the operating parameters Over time t ; is a nonlinear function that takes environmental factors into account Over time t ; Is a nonlinear function that takes into account the internal state of the device Over time t ; is a nonlinear function used to take external interference factors into account Over time t of the changing trend.

6. The microcontroller ratio test method based on a DCS control system according to claim 3 is characterized in that: Also includes: The deviation of the comprehensive volatility is calculated by the following calculation formula; ； in, Indicates the deviation of the comprehensive volatility; Indicates i The micro-control ratio value measured for the second time, i Indicates different number of measurements; It represents the average value of the target micro-control ratio; Indicates the deviation threshold, i.e. the maximum deviation allowed; is the coupling coefficient; Indicates j The measured values ​​of the operating parameters, j Indicates different working parameters; Indicates the average value of the working parameter; Indicates the weight coefficient of environmental factors; Indicates k The measured value of an environmental factor, k Indicates different environmental factors; It represents the average value of environmental factors; Represents the weight coefficient of the internal state factor; Indicates l The measurement value of the internal state factor, l Indicates different internal state factors; represents the average value of internal state factors; Represents the weight coefficient of external interference factors; Indicates m The measured value of an external disturbance factor, m Indicates different external interference factors; Represents the average value of external interference factors; M Indicates the number of working parameters; L Indicates the number of environmental factors; Q Represents the number of internal state factors; R Represents the number of external interference factors.

7. A micro-control ratio test system based on a DCS control system, characterized in that: include: An acquisition module is used to acquire and initialize the working parameters of the micro-control ratio test equipment through the DCS control system, wherein the working parameters include temperature, pressure, and current, and to provide real-time feedback of the working status through sensors; A recording module, used to control the start-up of the micro-control ratio test device according to a predetermined test sequence, and continuously record the change value of the micro-control ratio and the fluctuation of the working parameters under different working conditions; A monitoring module, for monitoring the received change value in real time by using a DCS control system, and analyzing the change value by using a multivariate statistical process control method to detect an abnormal trend of the change value, and predicting a change trend of the change value based on the abnormal trend in combination with a corresponding multivariate statistical process control model; A determination module, used for determining the deviation between the change value and the set standard value in the multivariable statistical process control model, and adjusting the working parameters of the micro-control ratio test device according to the deviation; an adjustment module, which optimizes the adjustment process of the working parameters by using a genetic algorithm, and restarts the micro-control ratio test device according to the adjusted working parameters, and repeats the change value monitoring, deviation determination and working parameter adjustment process until the deviation between the change value and the set standard value is less than a deviation threshold; The output module is used to output the final micro-control ratio test result through the DCS control system when the working parameters of the micro-control ratio test equipment reach the preset accuracy requirements. The test result includes the measured value of the micro-control ratio, the measurement error, and the historical change trajectory of the control parameters.

8. A computing device, characterized in that It comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement the micro-control ratio testing method based on the DCS control system as described in any one of claims 1-6.

9. A computer storage medium, characterized in that A computer program is stored, and when the computer program is executed by a computer, the micro-control ratio testing method based on a DCS control system as described in any one of claims 1 to 6 is implemented.

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