Automatic auxiliary adjusting method of industrial automatic control system

Abstract

The invention relates to the technical field of industrial automatic control, and discloses an automatic auxiliary adjusting method of an industrial automatic control system, which comprises the following steps of: 1, acquiring instruction data of all control signals and operation data of all industrial equipment, and classifying the instruction data and the operation data to form a signal data set and an operation data set; 2, setting a monitoring period, analyzing change trends of different parameters in the operation process of the industrial equipment, and generating a corresponding monitoring data set; 3, setting a threshold value of a fixed range, evaluating response states and standard duration of different parameters in the operation process of the industrial equipment, and judging whether auxiliary adjustment is needed or not, the multi-dimensional evaluation accuracy is high, and if any parameter in the operation process of the industrial equipment needs auxiliary adjustment, continuing the step 4; and 4, according to a judgment result, generating a corresponding power supply frequency adjustment value, a flow adjustment value, a ventilation quantity adjustment value and a sealing layer thickness adjustment value to carry out automatic auxiliary adjustment, and collaborative optimization is high in production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial automatic control, and in particular to an automatic auxiliary adjustment method for an industrial automatic control system. Background Art

[0002] In modern industrial production, the application of automation technology has become a key means of improving efficiency, reducing costs, and enhancing product quality. Industrial automation, as a crucial component of automation technology, integrates sensors, controllers, and actuators to achieve precise control and management of production processes. Automatic assisted regulation, a key application area of industrial automation, not only optimizes production processes but also improves system flexibility and reliability. Automatic assisted regulation systems monitor every step of the production process in real time and automatically adjust equipment status according to preset parameters, ensuring continuous and efficient production line operation. This intelligent regulation approach significantly reduces human intervention and operational errors, thereby improving overall production efficiency. Traditional production regulation methods often require workers to perform repetitive tasks over a long period of time. Automatic assisted regulation systems offload this work to machines, significantly reducing worker workload. Automatic assisted regulation systems precisely control various process parameters, such as temperature, pressure, and flow, to ensure stable and consistent product quality. This refined control approach helps reduce defective product rates and enhance a company's market competitiveness. Automatic assisted regulation systems monitor equipment operating status in real time, promptly detecting and addressing abnormalities, thereby ensuring the stability and reliability of the entire production system. This preventive maintenance approach helps reduce downtime and improve equipment utilization.

[0003] At present, traditional industrial automatic control systems are unable to ensure the stability of equipment operation in industrial scenarios with high precision and high safety requirements. Under different equipment and working conditions, manual assessment is required to determine whether there are abnormal conditions in the equipment operation. The assessment accuracy is low, and parameters must be repeatedly adjusted to achieve the best control effect. When the adjustment amount exceeds the fuzzy range, it will seriously affect the overall efficiency of the industrial equipment and product quality. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In response to the shortcomings of the existing technology, the present invention provides an automatic auxiliary adjustment method for an industrial automatic control system, which has the advantages of high multi-dimensional evaluation accuracy and high collaborative optimization production efficiency. It solves the problem that traditional industrial automatic control systems have low evaluation accuracy and require repeated adjustment of parameters to achieve the best control effect.

[0006] (2) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solution: an automatic auxiliary adjustment method for an industrial automatic control system, comprising the following steps:

[0008] Step 1: Connect to the industrial automatic control system through the network to obtain the command data of all control signals and the operating data of all industrial equipment, and classify them into signal data sets and operating data sets;

[0009] Step 2: Set a fixed-length monitoring period Q, and then combine the signal data set and the operation data set to analyze the changing trends of different parameters during the operation of the industrial equipment and generate the corresponding monitoring data set Jcsj;

[0010] Step 3: Set fixed ranges for the range threshold and standard deviation threshold. Combined with the monitoring data set Jcsj, evaluate the response status and time to standard for different parameters during the operation of the industrial equipment, and determine whether auxiliary adjustments are needed. If any parameter during the operation of the industrial equipment requires auxiliary adjustments, proceed to step 4.

[0011] Step 4: Based on the judgment results of different parameters during the operation of industrial equipment, combined with the signal data set and the operation data set, the corresponding power frequency adjustment value ΔFT, flow adjustment value ΔLIU, ventilation volume adjustment value ΔTF and sealing layer thickness adjustment value ΔMH are generated for automatic auxiliary adjustment.

[0012] Preferably, in step 1, the expression of the signal data set is {X1 s 、X2 s 、X3 s ,...,Xn s}, x1 s To Xn s Indicates the command data of the control signal from the first to the nth time. The command data includes the motor speed setting value, valve opening setting value, temperature setting value and pressure setting value. s indicates the output time point of the control signal.

[0013] Preferably, in step 1, the expression of the running data set is {Y1 j 、Y2 j 、Y3 j 、...、Ym j}, Y1 j To Ym j Represents the operating data of the first to mth industrial equipment, including motor speed, valve opening, temperature, pressure, power frequency, flow rate, ventilation volume and seal thickness. j represents the time point for obtaining the operating data of a single industrial equipment.

[0014] Preferably, in step 2, the calculation process of the monitoring data group Jcsj is as follows:

[0015] According to the signal data set, extract the instruction data of the i-th control signal and mark the motor speed setting value of the i-th control signal as ZD i , mark the output time point of the i-th control signal as i s ;

[0016] According to the operation data set, the operation data of the kth industrial equipment during the monitoring period Q is counted, wherein the starting time point of the monitoring period Q and the output time point of the i-th control signal i s Similarly, the motor speed of the kth industrial equipment during the monitoring period Q is marked as {z1 j 、z2 j 、z3 j 、...、za j}, z1 j to za j represents the motor speed of the kth industrial equipment from the first to the ath time, and j represents the time point when the operation data of a single industrial equipment is obtained;

[0017]

[0018] In the formula, It represents the average value of the motor speed of the kth industrial equipment during the monitoring period Q, maxz j and minz j Indicates the maximum and minimum values of the motor speed of the kth industrial equipment during the monitoring period Q, maxz j -minz j represents the range of the motor speed of the kth industrial equipment during the monitoring period Q, zl j represents the l-th change in the motor speed of the k-th industrial equipment during the monitoring period Q, l∈a, According to the standard deviation formula, the standard deviation of the motor speed of the kth industrial equipment during the monitoring period Q is calculated, Jcsj k-ZS represents the monitoring data set of the motor speed of the kth industrial equipment during the monitoring period Q;

[0019] During the monitoring period Q, the change trends of valve opening, temperature and pressure of the kth industrial equipment are all based on the monitoring data group Jcsj k-z The calculation process is analyzed, wherein during the monitoring period Q, the monitoring data group of the valve opening of the kth industrial equipment is marked as Jcsj k-FM During the monitoring period Q, the monitoring data set of the kth industrial equipment temperature is marked as Jcsj k-WD During the monitoring period Q, the monitoring data set of the kth industrial equipment pressure is marked as Jcsj k-YL .

[0020] Preferably, in step three, the judgment process is as follows:

[0021] For the motor speed in the industrial equipment operation data, a speed range threshold ZJCY and a speed standard deviation threshold ZBCY are set. At the same time, for the valve opening, temperature and pressure in the industrial equipment operation data, corresponding range thresholds and standard deviation thresholds are also set.

[0022] If during a single monitoring period Q, the average speed of the kth industrial equipment motor The motor speed setting value ZD of the i-th control signal i When the range of the motor speed of the kth industrial equipment is included in the speed range threshold ZJCY, and the standard deviation of the motor speed of the kth industrial equipment is included in the speed standard deviation threshold ZBCY, it means that the speed response state of the motor speed of the kth industrial equipment is normal and no auxiliary adjustment of the motor speed is required. The motor speed of the kth industrial equipment reaches the motor speed set value ZD i The time it takes to meet the standard is a monitoring period Q;

[0023] If during a single monitoring period Q, the average speed of the kth industrial equipment motor Not equal to the motor speed setting value ZD of the i-th control signal i When the range of the motor speed of the kth industrial equipment is not included in the speed range threshold ZJCY or the standard deviation of the motor speed of the kth industrial equipment is not included in the speed standard deviation threshold ZBCY, it means that the speed response state of the motor speed of the kth industrial equipment is abnormal and auxiliary adjustment of the motor speed is required. The motor speed of the kth industrial equipment reaches the motor speed set value ZD i The time required to meet the standard will exceed one monitoring period Q;

[0024] When evaluating the response status and time to meet standards of valve opening, temperature, and pressure during the operation of industrial equipment, as well as determining whether auxiliary adjustment is needed, analysis is performed according to the motor speed judgment process.

[0025] Preferably, in step four, if the motor speed response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the power frequency adjustment value ΔFT; if the valve opening response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the flow adjustment value ΔLIU; if the temperature response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the ventilation volume adjustment value ΔTF; if the pressure response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the sealing layer thickness adjustment value ΔMH.

[0026] Preferably, in step 4, the power frequency adjustment value ΔFT is calculated as follows:

[0027] According to the operating data set, the power frequency of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as

[0028]

[0029] In the formula, Indicates that according to the motor speed formula, the k-th industrial equipment achieves the motor speed setting value ZD i The desired power frequency target value, The difference between the power frequency target value and the power frequency at the end time point is the power frequency adjustment value.

[0030] Preferably, in step 4, the flow rate adjustment value ΔLIU is calculated as follows:

[0031] According to the signal data set, the valve opening setting value of the i-th control signal is marked as KD i ;

[0032] According to the operating data set, the flow of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as

[0033]

[0034] In the formula, maxKD represents the maximum value of the valve opening of the kth industrial equipment, and maxLIU represents the full-open flow rate of the kth industrial equipment under the maximum value of the valve opening. Indicates that according to the linear flow characteristic equation, the valve opening setting value KD of the kth industrial equipment is calculated i The desired flow target value, The difference between the flow target value and the flow at the end time point is the flow adjustment value.

[0035] Preferably, in step 4, the ventilation adjustment value ΔTF is calculated as follows:

[0036] According to the signal data set, the temperature setting value of the i-th control signal is marked as WD i ;

[0037] According to the operating data set, the ventilation volume of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as

[0038]

[0039] In the formula, SR represents the heat dissipation of the kth industrial equipment, μ represents the specific heat capacity of air, γ represents the air density, and EWD represents the rated inlet air temperature of the kth industrial equipment. Indicates that according to the ventilation volume formula, the temperature setting value WD of the kth industrial equipment is calculated i Required ventilation target value, The difference between the ventilation volume target value and the ventilation volume at the end time point is the ventilation volume adjustment value.

[0040] Preferably, in step 4, the calculation process of the sealing layer thickness adjustment value ΔMH is as follows:

[0041] According to the signal data set, the pressure setting value of the i-th control signal is marked as YD i ;

[0042] According to the operating data set, the sealing layer thickness of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as

[0043]

[0044] In the formula, E represents the elastic modulus of the kth industrial equipment, θ represents the change in surface roughness of the kth industrial equipment before sealing, and ∈ represents the residual deformation of the sealing surface of the kth industrial equipment after being squeezed by the sealing force. Indicates that according to the sealing force pressure ratio formula, the pressure setting value YD achieved by the k-th industrial equipment is calculated i Target value of required sealant thickness, The difference between the target value of the sealing layer thickness and the sealing layer thickness at the end time point is the sealing layer thickness adjustment value.

[0045] Compared with the prior art, the present invention provides an automatic auxiliary adjustment method for an industrial automatic control system, which has the following beneficial effects:

[0046] 1. The present invention connects to an industrial automatic control system through a network, obtains the command data of all control signals and the operating data of all industrial equipment, and classifies them into signal data sets and operating data sets, sets a fixed-duration monitoring period Q, and then combines the signal data set and the operating data set to analyze the changing trends of different parameters during the operation of the industrial equipment and generate corresponding monitoring data sets Jcsj, dynamically captures subtle fluctuations in the operating status of the equipment, and promptly discovers trends that deviate from the normal range, thereby preventing equipment failures or production interruptions caused by parameter abnormalities, and then sets fixed-range range thresholds and standard deviation thresholds, and then combines the monitoring data set Jcsj to evaluate the response status and compliance time of different parameters during the operation of the industrial equipment, and determine whether auxiliary adjustment is needed, thereby establishing a multi-dimensional quantitative evaluation mechanism, avoiding subjective human intervention, improving the accuracy and reliability of operational decisions, ensuring that the equipment is always in the optimal operating range, and achieving high multi-dimensional evaluation accuracy.

[0047] 2. The present invention generates corresponding power frequency adjustment values ΔFT, flow adjustment values ΔLIU, ventilation volume adjustment values ΔTF, and sealing layer thickness adjustment values ΔMH for automatic auxiliary adjustment based on the judgment results of different parameters during the operation of industrial equipment, combined with signal data sets and operation data sets. The calculation formula of each adjustment value is based on the physical principles and equipment characteristics between multi-source parameters, ensuring that the adjustment amount is scientific and reasonable, and can quickly restore the equipment to the set target value, significantly improving operational stability and energy efficiency, and synergistically optimizing production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] Traditional industrial automatic control systems are difficult to guarantee the stability of equipment operation in industrial scenarios with high precision and high safety requirements. Different equipment and working conditions require manual assessment of whether the equipment is operating in an abnormal state. This assessment has low accuracy and requires repeated parameter adjustments to achieve the best control effect. When the adjustment amount exceeds the fuzzy range, it will seriously affect the overall efficiency of the industrial equipment and product quality. Therefore, an automatic auxiliary adjustment method for industrial automatic control systems is provided. Please refer to Figure 1 , an automatic auxiliary adjustment method for an industrial automatic control system, comprising the following steps:

[0051] Step 1: Connect to the industrial automation control system through the network to obtain the command data of all control signals and the operating data of all industrial equipment, and classify them into signal data sets and operating data sets. Classified collection improves data processing efficiency, provides a reliable foundation for subsequent analysis, and shortens system response time, ensuring that abnormal situations can be quickly identified and handled.

[0052] The expression of the signal data set is {X1 s 、X2 s 、X3 s ,...,Xn s}, X1 s To Xn s Indicates the command data of the first to nth control signals, including the motor speed setting value, valve opening setting value, temperature setting value and pressure setting value. s indicates the output time point of the control signal;

[0053] The expression of the running data set is {Y1 j 、Y2 j 、Y3 j 、...、Ym j}, Y1 j To Ym j represents the operating data of the first to mth industrial equipment, including motor speed, valve opening, temperature, pressure, power frequency, flow rate, ventilation volume and seal thickness. j represents the time point when the operating data of a single industrial equipment is obtained;

[0054] Step 2: Set a fixed-length monitoring period Q. Combined with the signal and operating data sets, analyze the changing trends of different parameters during the operation of industrial equipment and generate corresponding monitoring data sets Jcsj. This dynamically captures subtle fluctuations in the equipment's operating status and promptly identifies trends that deviate from the normal range, thereby preventing equipment failures or production interruptions caused by abnormal parameters.

[0055] The calculation process of Jcsj for the monitoring data group is as follows:

[0056] According to the signal data set, extract the instruction data of the i-th control signal and mark the motor speed setting value of the i-th control signal as ZD i , mark the output time point of the i-th control signal as i s ;

[0057] According to the operation data set, the operation data of the kth industrial equipment during the monitoring period Q is counted, wherein the starting time point of the monitoring period Q and the output time point of the i-th control signal i s Similarly, the motor speed of the kth industrial equipment during the monitoring period Q is marked as {z1 j 、z2 j 、z3 j 、...、za j}, z1 j to za j represents the motor speed of the kth industrial equipment from the first to the ath time, and j represents the time point when the operation data of a single industrial equipment is obtained;

[0058]

[0059]

[0060] In the formula, It represents the average value of the motor speed of the kth industrial equipment during the monitoring period Q, maxz j and minz j Indicates the maximum and minimum values of the motor speed of the kth industrial equipment during the monitoring period Q, maxzj -minz j represents the range of the motor speed of the kth industrial equipment during the monitoring period Q, zl j represents the l-th change in the motor speed of the k-th industrial equipment during the monitoring period Q, l∈a, According to the standard deviation formula, the standard deviation of the motor speed of the kth industrial equipment during the monitoring period Q is calculated, Jcsj k-ZS represents the monitoring data set of the motor speed of the kth industrial equipment during the monitoring period Q;

[0061] During the monitoring period Q, the change trends of valve opening, temperature and pressure of the kth industrial equipment are all based on the monitoring data group Jcsj k-z The calculation process is analyzed, wherein during the monitoring period Q, the monitoring data group of the valve opening of the kth industrial equipment is marked as Jcsj k-FM During the monitoring period Q, the monitoring data set of the kth industrial equipment temperature is marked as Jcsj k-WD During the monitoring period Q, the monitoring data set of the kth industrial equipment pressure is marked as Jcsj k-YL ;

[0062] Step 3: Set fixed ranges for the range and standard deviation thresholds. Combined with the monitoring data set Jcsj, evaluate the response status and time to standard for different parameters during the operation of the industrial equipment, and determine whether auxiliary adjustments are needed. This establishes a multi-dimensional quantitative evaluation mechanism, avoids subjective human intervention, improves the accuracy and reliability of operational decisions, and ensures that the equipment is always in the optimal operating range. If any parameter during the operation of the industrial equipment requires auxiliary adjustment, proceed to step 4.

[0063] The judgment process is as follows:

[0064] For the motor speed in the industrial equipment operation data, a speed range threshold ZJCY and a speed standard deviation threshold ZBCY are set. At the same time, for the valve opening, temperature and pressure in the industrial equipment operation data, corresponding range thresholds and standard deviation thresholds are also set.

[0065] If during a single monitoring period Q, the average speed of the kth industrial equipment motor The motor speed setting value ZD of the i-th control signal i When the range of the motor speed of the kth industrial equipment is included in the speed range threshold ZJCY, and the standard deviation of the motor speed of the kth industrial equipment is included in the speed standard deviation threshold ZBCY, it means that the speed response state of the motor speed of the kth industrial equipment is normal and no auxiliary adjustment of the motor speed is required. The motor speed of the kth industrial equipment reaches the motor speed set value ZD i The time it takes to meet the standard is a monitoring period Q;

[0066] If during a single monitoring period Q, the average speed of the kth industrial equipment motor Not equal to the motor speed setting value ZD of the i-th control signal i When the range of the motor speed of the kth industrial equipment is not included in the speed range threshold ZJCY or the standard deviation of the motor speed of the kth industrial equipment is not included in the speed standard deviation threshold ZBCY, it means that the speed response state of the motor speed of the kth industrial equipment is abnormal and auxiliary adjustment of the motor speed is required. The motor speed of the kth industrial equipment reaches the motor speed set value ZD i The time required to meet the standard will exceed one monitoring period Q;

[0067] When evaluating the response status and time to reach the target for valve opening, temperature, and pressure during the operation of industrial equipment, as well as determining whether auxiliary adjustment is needed, analysis is performed according to the motor speed judgment process, resulting in a multi-dimensional evaluation with high accuracy.

[0068] Step 4: Based on the judgment results of different parameters during the operation of industrial equipment, combined with the signal data set and the operation data set, the corresponding power frequency adjustment value ΔFT, flow adjustment value ΔLIU, ventilation volume adjustment value ΔTF, and sealing layer thickness adjustment value ΔMH are generated for automatic auxiliary adjustment. The calculation formula of each adjustment value is based on the physical principles between multiple source parameters and equipment characteristics, ensuring that the adjustment amount is scientific and reasonable, and can quickly restore the equipment to the set target value, significantly improving operational stability and energy efficiency.

[0069] If the kth industrial equipment motor speed response state is abnormal, automatic auxiliary adjustment is performed according to the power frequency adjustment value ΔFT. The calculation process of the power frequency adjustment value ΔFT is as follows:

[0070] According to the operating data set, the power frequency of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as

[0071]

[0072] In the formula, Indicates that according to the motor speed formula, the k-th industrial equipment achieves the motor speed setting value ZD i The desired power frequency target value, The difference between the target power frequency and the power frequency at the end time is the power frequency adjustment value, which reduces the risk of human error and is suitable for industrial scenarios with high precision and high safety requirements.

[0073] If the valve opening response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the flow adjustment value ΔLIU. The calculation process of the flow adjustment value ΔLIU is as follows:

[0074] According to the signal data set, the valve opening setting value of the i-th control signal is marked as KD i ;

[0075] According to the operating data set, the flow of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as

[0076]

[0077] In the formula, maxKD represents the maximum value of the valve opening of the kth industrial equipment, and maxLIU represents the full-open flow rate of the kth industrial equipment under the maximum value of the valve opening. Indicates that according to the linear flow characteristic equation, the valve opening setting value KD of the kth industrial equipment is calculated i The desired flow target value, The difference between the target flow rate and the flow rate at the end time is the flow adjustment value. Fine-tuning can delay equipment aging and reduce equipment replacement and maintenance costs.

[0078] If the temperature response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the ventilation volume adjustment value ΔTF. The calculation process of the ventilation volume adjustment value ΔTF is as follows:

[0079] According to the signal data set, the temperature setting value of the i-th control signal is marked as WD i ;

[0080] According to the operating data set, the ventilation volume of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as

[0081]

[0082] In the formula, SR represents the heat dissipation of the kth industrial equipment, μ represents the specific heat capacity of air, γ represents the air density, and EWD represents the rated inlet air temperature of the kth industrial equipment. Indicates that according to the ventilation volume formula, the temperature setting value WD of the kth industrial equipment is calculated i Required ventilation target value, The difference between the ventilation volume target value and the ventilation volume at the end time point is the ventilation volume adjustment value, which is automated closed-loop control to improve the objectivity of adjustment decisions;

[0083] If the pressure response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the sealing layer thickness adjustment value ΔMH. The calculation process of the sealing layer thickness adjustment value ΔMH is as follows:

[0084] According to the signal data set, the pressure setting value of the i-th control signal is marked as YDi ;

[0085] According to the operating data set, the sealing layer thickness of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as

[0086]

[0087] In the formula, E represents the elastic modulus of the kth industrial equipment, θ represents the change in surface roughness of the kth industrial equipment before sealing, and ∈ represents the residual deformation of the sealing surface of the kth industrial equipment after being squeezed by the sealing force. Indicates that according to the sealing force pressure ratio formula, the pressure setting value YD achieved by the k-th industrial equipment is calculated i Target value of required sealant thickness, The difference between the target sealing layer thickness and the sealing layer thickness at the end time point is the sealing layer thickness adjustment value, which effectively balances the heat dissipation and sealing performance of the equipment, thereby improving the overall efficiency and product quality of the production line and synergistically optimizing production efficiency.

[0088] Example 1:

[0089] In this experiment, an industrial device with a motor speed setting of 128RPM is selected as the experimental object. According to statistics, within 5 minutes, the first change in motor speed is 100RPM, the second change in motor speed is 150RPM, the third change in motor speed is 120RPM, the fourth change in motor speed is 130RPM, and the fifth change in motor speed is 140RPM. In this case, the motor speed of the industrial device within 5 minutes is marked as {z1 j =100, z2 j =150, z3 j =120, z4 j =130,za j =z5 j =140}, the calculation process of the monitoring data group Jcsj of the industrial equipment motor speed is as follows:

[0090]

[0091] In the formula, Indicates the average value of the motor speed of the industrial equipment within 5 minutes, maxz j =150 and minz j =100 represents the maximum and minimum speed of the motor of the industrial equipment within 5 minutes, maxz j -minz j =50 means the range of the motor speed of the industrial equipment within 5 minutes, zl j =z1 j=100 means the motor speed of the industrial equipment changes for the first time within 5 minutes, l∈a, Indicates that the standard deviation of the motor speed of the industrial equipment within 5 minutes is calculated according to the standard deviation formula;

[0092] In the control signal, the motor speed setting value for the industrial equipment is set to 128RPM, the speed range threshold is set to 40~80RPM, and the speed standard deviation threshold is set to 15~30. After judgment, within 5 minutes, the average value of the motor speed of the industrial equipment, 128RPM, is the same as the motor speed setting value of 128RPM, the range of the motor speed of the industrial equipment, 50RPM, is included in the speed range threshold of 40~80RPM, and the standard deviation of the motor speed of the industrial equipment, 17.2, is included in the speed standard deviation threshold of 15~30, indicating that the motor speed response status of the equipment is normal and no auxiliary adjustment of the motor speed is required.

[0093] Example 2:

[0094] In this experiment, an industrial device with an abnormal valve opening response state was selected as the experimental object. According to statistics, the valve opening setting value of this industrial equipment is 60%, and the maximum valve opening value is 100%. When the valve is fully open, the full-open flow rate of this industrial equipment is 800 liters / minute. After testing, ten minutes after the control signal is output, the flow rate of this industrial equipment is 500 liters / minute. The calculation process of the flow adjustment value ΔLIU of this industrial equipment is as follows:

[0095]

[0096]

[0097] In the formula, maxKD=100 represents the maximum value of the valve opening of the industrial equipment, and maxLIU=800 represents the full-open flow rate of the industrial equipment under the maximum value of the valve opening. It indicates that the target flow value required for the industrial equipment to achieve the valve opening setting value is calculated based on the linear flow characteristic equation. The difference between the flow target value and the flow at the end time point is the flow adjustment value. After judgment, automatic auxiliary adjustment is required based on the flow adjustment value of -20 liters / minute so that the industrial equipment can reach the valve opening set value of 60%.

[0098] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An automatic auxiliary adjustment method for an industrial automatic control system, characterized in that: The following steps are involved: Step 1: Connect to the industrial automatic control system through the network to obtain the command data of all control signals and the operating data of all industrial equipment, and classify them into signal data sets and operating data sets; Step 2: Set a fixed-length monitoring period Q, and then combine the signal data set and the operation data set to analyze the changing trends of different parameters during the operation of the industrial equipment and generate the corresponding monitoring data set Jcsj; Step 3: Set fixed ranges for the range threshold and standard deviation threshold. Combined with the monitoring data set Jcsj, evaluate the response status and time to standard for different parameters during the operation of the industrial equipment, and determine whether auxiliary adjustments are needed. If any parameter during the operation of the industrial equipment requires auxiliary adjustments, proceed to step 4. Step 4: Based on the judgment results of different parameters during the operation of industrial equipment, combined with the signal data set and the operation data set, the corresponding power frequency adjustment value ΔFT, flow adjustment value ΔLIU, ventilation volume adjustment value ΔTF and sealing layer thickness adjustment value ΔMH are generated for automatic auxiliary adjustment.

2. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 1, characterized in that: In the step 1, the expression of the signal data set is {X1 s 、X2 s 、X3 s ,…,Xn s }, X1 s To Xn s Indicates the command data of the control signal from the first to the nth time. The command data includes the motor speed setting value, valve opening setting value, temperature setting value and pressure setting value. s indicates the output time point of the control signal.

3. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 2, characterized in that: In step 1, the expression of the running data set is {Y1 j 、Y2 j 、Y3 j 、…、Ym j }, Y1 j To Ym j Represents the operating data of the first to mth industrial equipment, including motor speed, valve opening, temperature, pressure, power frequency, flow rate, ventilation volume and seal thickness. j represents the time point for obtaining the operating data of a single industrial equipment.

4. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 3, characterized in that: In step 2, the calculation process of the monitoring data group Jcsj is as follows: According to the signal data set, extract the instruction data of the i-th control signal and mark the motor speed setting value of the i-th control signal as ZD i , mark the output time point of the i-th control signal as i s ; According to the operation data set, the operation data of the kth industrial equipment during the monitoring period Q is counted, wherein the starting time point of the monitoring period Q and the output time point of the i-th control signal i s Similarly, the motor speed of the kth industrial equipment during the monitoring period Q is marked as {z1 j 、z2 j 、z3 j 、…、za j }, z1 j to za j represents the motor speed of the kth industrial equipment from the first to the ath time, and j represents the time point when the operation data of a single industrial equipment is obtained; In the formula, It represents the average value of the motor speed of the kth industrial equipment during the monitoring period Q, maxz j and minz j Indicates the maximum and minimum values of the motor speed of the kth industrial equipment during the monitoring period Q, maxz j -minz j represents the range of the motor speed of the kth industrial equipment during the monitoring period Q, zl j represents the l-th change in the motor speed of the k-th industrial equipment during the monitoring period Q, l∈a, According to the standard deviation formula, the standard deviation of the motor speed of the kth industrial equipment during the monitoring period Q is calculated, Jcsj k-ZS represents the monitoring data set of the motor speed of the kth industrial equipment during the monitoring period Q; During the monitoring period Q, the change trends of valve opening, temperature and pressure of the kth industrial equipment are all based on the monitoring data group Jcsj k-z The calculation process is analyzed, wherein during the monitoring period Q, the monitoring data group of the valve opening of the kth industrial equipment is marked as Jcsj k-FM During the monitoring period Q, the monitoring data set of the kth industrial equipment temperature is marked as Jcsj k-WD During the monitoring period Q, the monitoring data set of the kth industrial equipment pressure is marked as Jcsj k-YL .

5. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 4, characterized in that: In step 3, the judgment process is as follows: For the motor speed in the industrial equipment operation data, a speed range threshold ZJCY and a speed standard deviation threshold ZBCY are set. At the same time, for the valve opening, temperature and pressure in the industrial equipment operation data, corresponding range thresholds and standard deviation thresholds are also set. If during a single monitoring period Q, the average speed of the kth industrial equipment motor The motor speed setting value ZD of the i-th control signal i When the range of the motor speed of the kth industrial equipment is included in the speed range threshold ZJCY, and the standard deviation of the motor speed of the kth industrial equipment is included in the speed standard deviation threshold ZBCY, it means that the speed response state of the motor speed of the kth industrial equipment is normal and no auxiliary adjustment of the motor speed is required. The motor speed of the kth industrial equipment reaches the motor speed set value ZD i The time it takes to meet the standard is a monitoring period Q; If during a single monitoring period Q, the average speed of the kth industrial equipment motor Not equal to the motor speed setting value ZD of the i-th control signal i When the range of the motor speed of the kth industrial equipment is not included in the speed range threshold ZJCY or the standard deviation of the motor speed of the kth industrial equipment is not included in the speed standard deviation threshold ZBCY, it means that the speed response state of the motor speed of the kth industrial equipment is abnormal and auxiliary adjustment of the motor speed is required. The motor speed of the kth industrial equipment reaches the motor speed set value ZD i The time required to meet the standard will exceed one monitoring period Q; When evaluating the response status and time to meet standards of valve opening, temperature, and pressure during the operation of industrial equipment, as well as determining whether auxiliary adjustment is needed, analysis is performed according to the motor speed judgment process.

6. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 5, characterized in that: In step four, if the motor speed response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the power frequency adjustment value ΔFT; if the valve opening response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the flow adjustment value ΔLIU; if the temperature response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the ventilation volume adjustment value ΔTF; if the pressure response state of the kth industrial equipment is abnormal, automatic auxiliary adjustment is performed according to the sealing layer thickness adjustment value ΔMH.

7. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 6, characterized in that: In step 4, the calculation process of the power frequency adjustment value ΔFT is as follows: According to the operating data set, the power frequency of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as In the formula, Indicates that according to the motor speed formula, the k-th industrial equipment achieves the motor speed setting value ZK i The desired power frequency target value, The difference between the power frequency target value and the power frequency at the end time point is the power frequency adjustment value.

8. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 7, characterized in that: In step 4, the flow rate adjustment value ΔLIU is calculated as follows: According to the signal data set, the valve opening setting value of the i-th control signal is marked as KD i ; According to the operating data set, the flow of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as In the formula, maxKD represents the maximum value of the valve opening of the kth industrial equipment, and maxLIU represents the full-open flow rate of the kth industrial equipment under the maximum value of the valve opening. Indicates that according to the linear flow characteristic equation, the valve opening setting value KD of the kth industrial equipment is calculated i The desired flow target value, The difference between the flow target value and the flow at the end time point is the flow adjustment value.

9. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 8, characterized in that: In step 4, the ventilation adjustment value ΔTF is calculated as follows: According to the signal data set, the temperature setting value of the i-th control signal is marked as WD i ; According to the operating data set, the ventilation volume of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as In the formula, SR represents the heat dissipation of the kth industrial equipment, μ represents the specific heat capacity of air, γ represents the air density, and EWD represents the rated inlet air temperature of the kth industrial equipment. Indicates that according to the ventilation volume formula, the temperature setting value WD of the kth industrial equipment is calculated i Required ventilation target value, The difference between the ventilation volume target value and the ventilation volume at the end time point is the ventilation volume adjustment value.

10. The automatic auxiliary adjustment method of an industrial automatic control system according to claim 9, characterized in that: In step 4, the calculation process of the sealing layer thickness adjustment value ΔMH is as follows: According to the signal data set, the pressure setting value of the i-th control signal is marked as YD i ; According to the operating data set, the sealing layer thickness of the kth industrial equipment at the end time of a single monitoring cycle Q is marked as In the formula, E represents the elastic modulus of the kth industrial equipment, θ represents the change in surface roughness of the kth industrial equipment before sealing, and ∈ represents the residual deformation of the sealing surface of the kth industrial equipment after being squeezed by the sealing force. Indicates that according to the sealing force pressure ratio formula, the pressure setting value YD achieved by the k-th industrial equipment is calculated i Target value of required sealant thickness, The difference between the target value of the sealing layer thickness and the sealing layer thickness at the end time point is the sealing layer thickness adjustment value.

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