Industrial computer control method and system based on data processing

Abstract

The present invention relates to the field of electrical digital processing, and in particular to an industrial computer control method and system based on data processing, the method comprising: obtaining a normalized current signal, a voltage signal, a current error signal, and a voltage error signal of the industrial computer within a set working time period; inputting the current error signal and the voltage error signal into an optimized PID controller, and outputting a control signal to control the operating state of the industrial computer; wherein, the proportional gain is adjusted to obtain an adjusted proportional gain, and the output of the PID controller is optimized by combining the adjusted proportional gain, integral gain, and differential gain. The present invention analyzes the fluctuation of the current signal and the voltage signal within the set time period, thereby adaptively adjusting the proportional gain to output a better control signal, so that the control system is more flexible and responsive, and more accurate control of the current and voltage of the industrial computer is achieved.

Description

Technical Field

[0001] The present invention relates to the field of electronic digital processing, and more specifically, to an industrial computer control method and system based on data processing. Background Art

[0002] An industrial computer is a computing device specifically used in industrial automation control systems, designed to monitor, control and coordinate various equipment and machines in industrial processes.

[0003] Industrial computers play the role of the brain in modern industrial automation. By integrating advanced sensors, actuators and communication protocols, they achieve precise control and flexible adjustment of equipment on the production line. Through careful regulation of industrial computers, it helps to improve the operating efficiency of industrial computers. The efficient and stable operation of industrial computers is crucial to the efficiency of the entire production line, which can reduce production interruptions and improve output and quality.

[0004] In the prior art, a Chinese patent document with authorization announcement number CN215769604U discloses an industrial computer protection system, which is provided with a power module, a control module and an industrial computer, wherein the control module includes a voltage conversion unit, a battery unit and a programmable control unit; the input end of the voltage conversion unit is electrically connected to the first power input end, and the output end of the voltage conversion unit is electrically connected to the first input interface of the programmable control unit, and is used to convert the output voltage signal of the power module and supply power to the industrial computer through the programmable control unit; the battery unit is used to store electric energy and supply power to the industrial computer through the programmable control unit; the programmable control unit is used to control the voltage conversion unit or the battery unit to supply power to the industrial computer.

[0005] The main purpose of the above-mentioned industrial computer protection system is to protect the industrial computer from power instability through the control module. However, when the power signal is converted into the power required by the industrial computer, it is affected by external interference (such as strong electromagnetic interference), which causes the stability of the power signal to decrease, affecting the normal operation of the industrial computer. Summary of the invention

[0006] In order to solve the technical problem of unstable operation of the above-mentioned industrial computer, the present invention provides solutions in the following aspects.

[0007] In a first aspect, an industrial computer control method based on data processing includes:

[0008] Obtaining the normalized current signal, voltage signal, current error signal, and voltage error signal of the industrial computer within a set working time period; inputting the current error signal and the voltage error signal into an optimized PID controller, and outputting a control signal to adjust the operating state of the industrial computer;

[0009] The PID controller optimization process includes:

[0010] Adjust the proportional gain to obtain the adjusted proportional gain:

[0011] + ; In the formula, is the adjusted proportional gain, is the impact factor, , They are the current error signal and the voltage error signal respectively. , They are the rated current error and rated voltage error of the industrial computer respectively. is the proportional gain before adjustment, is an exponential function with the natural constant e as the base; the impact factor is used to evaluate the fluctuation of the current signal and the voltage signal;

[0012] The output of the PID controller is optimized by combining the adjusted proportional gain, integral gain, and derivative gain.

[0013] The present invention calculates an influence factor by analyzing the fluctuation of current signals and voltage signals within a set time period, and adaptively adjusts the proportional gain according to the influence factor to output a better control signal, thereby making the control system more flexible and responsive, and achieving more precise regulation of the current and voltage of the industrial computer. The stable current and voltage supply can reduce production interruptions and improve the operating efficiency of the production line.

[0014] Preferably, the process of regulating the operating state of the industrial computer includes:

[0015] The control signal is transmitted to the industrial computer control system. When it is detected that the current current or voltage exceeds the preset current or voltage safety threshold, the industrial computer sends a control instruction to the actuator in the built-in power module of the industrial computer and executes the control action. The control action is to disconnect the circuit of the industrial computer or adjust the power supply of the industrial computer.

[0016] Preferably, the expression of the control signal is:

[0017] ; In the formula, is the control signal, is the current error signal, is the voltage error signal, is the adjusted proportional gain, is the integral gain, is the differential gain.

[0018] When the first influencing factor and the second influencing factor are larger, it means that the fluctuation degree of the current and voltage signals is larger. At this time, the proportional gain value should be reduced. When the current and voltage error signals are larger, the proportional gain value should be increased.

[0019] Preferably, the method further comprises the steps of:

[0020] A current signal graph and a voltage signal graph are created; the current signal graph is configured with a horizontal axis representing time and a vertical axis representing current value; the voltage signal graph is configured with a horizontal axis representing time and a vertical axis representing voltage value.

[0021] Observing the current and voltage signal graphs allows identification of trends over time, such as growth, decrease, cyclical fluctuations, etc.

[0022] Preferably, the process of obtaining the impact factor includes:

[0023] Taking any moment as the center point, intercepting the current and voltage values ​​corresponding to a set number of moments before and after the center point, sorting the current and voltage values ​​in order of the moments to obtain a data point sequence, constructing a time series, calculating the first fluctuation degree of the time series and the second fluctuation degree of the time period, and normalizing the average of the first fluctuation degrees and the second fluctuation degrees of multiple time series to obtain a first influencing factor;

[0024] Calculating the variance of the ratio of all voltage signals to current signals within the time period, and using the variance as a second influencing factor;

[0025] The sum of the first impact factor and the second impact factor is taken as the impact factor.

[0026] The influencing factor integrates the fluctuation information of the current and voltage signals and their ratio variance, enabling the PID controller to adapt to different working conditions and environmental changes, ensuring that the system can respond quickly to external changes and maintain high-performance operation.

[0027] Preferably, the process of obtaining the first fluctuation degree is:

[0028] Calculate the absolute value of the difference between the current amplitude value at the center point of any time series and the average current amplitude value of the time series, and the absolute value of the difference between the voltage amplitude value and the average voltage amplitude value of the time series;

[0029] The first fluctuation degree is obtained by normalizing the sum of the absolute values ​​of the two differences.

[0030] Preferably, the process of obtaining the first fluctuation degree is:

[0031] Calculate the current standard deviation and voltage standard deviation of any time series;

[0032] The average of the sum of the current standard deviation value and the voltage standard deviation value is taken as the first fluctuation degree.

[0033] By calculating the difference between the center point amplitude value and the average amplitude value of the current and voltage or by calculating the standard deviation of the current and voltage to dynamically reflect the changes in the current and voltage signals, the PID controller parameters can be adjusted in real time according to the actual situation, thereby enhancing the adaptability of the system.

[0034] Preferably, the second fluctuation degree satisfies the relationship:

[0035] ; In the formula, The second impact factor is is the inverse tangent function, The current signal is The current amplitude value corresponding to the peak, The current signal is The time corresponding to the peak, The voltage signal is The voltage amplitude value corresponding to the peak, The voltage signal is The time corresponding to the peak, is the overall fluctuation degree of the current signal graph, is the overall fluctuation degree of the voltage signal graph, , All are weights.

[0036] Preferably, the second fluctuation degree satisfies the relationship:

[0037] ; In the formula, The second impact factor is is an exponential function with base e, is the maximum peak value of the current in the current signal diagram, is the time when the current reaches the maximum peak value, is the maximum peak value of the voltage in the voltage signal diagram, is the time when the voltage reaches the maximum peak value, is the overall fluctuation degree of the current signal graph, is the overall fluctuation degree of the voltage signal graph, , All are weights.

[0038] By considering the amplitude and time corresponding to the peaks in the current and voltage signal graphs, as well as the overall fluctuation of the signal graph, the dynamic characteristics of the system can be fully reflected. This provides a multi-angle perspective, making the measurement of system volatility more accurate.

[0039] In a second aspect, an industrial computer control system based on data processing includes: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned industrial computer control method based on data processing is implemented.

[0040] Beneficial effect: The present invention monitors important indicators of the industrial computer in real time, such as current signals and voltage signals, in the operating state, evaluates the fluctuation of the current and voltage signals, calculates an influencing factor, and introduces the influencing factor into the PID controller to optimize the proportional gain, thereby enabling the PID controller to respond to system errors more comprehensively and improve control accuracy. The industrial computer data monitoring system can effectively reduce the fluctuations and errors of the industrial computer during operation, which helps to improve the operating stability of the industrial computer. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0042] Figure 1 It is a method flow chart of steps S1 to S2 in the industrial computer control method and system based on data processing in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] 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 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.

[0044] In an embodiment of the present invention, a PID controller is used to control an industrial computer, aiming at accurately adjusting the current and voltage in the industrial computer to ensure the stability and efficiency of the system. More specifically, the proportional gain is adjusted by analyzing the dynamic characteristics of the current and voltage in the industrial computer, so as to output a better control signal to make it more in line with the current and voltage regulation in the industrial computer.

[0045] The embodiment of the present invention discloses an industrial computer control method and system based on data processing, referring to Figure 1 , including steps S1-S2, which are as follows:

[0046] S1: Obtain the normalized current signal, voltage signal, current error signal, and voltage error signal of the industrial computer within a set working time period.

[0047] In an embodiment of the present invention, a current sensor and a voltage sensor are installed at the power input of an industrial computer, and current data and voltage data are collected once a second for a total of T seconds. The current and voltage sensors collect current analog signals and voltage analog signals for T seconds, and then an adaptive filter is used to remove noise in the current and voltage analog signals. The current and voltage analog signals are converted into current and voltage digital signals through an analog-to-digital converter, and the current and voltage digital signals are further normalized to the maximum and minimum values, and the range of the current and voltage digital signals is normalized to the range of (0, 1), which helps to simplify the subsequent data processing process.

[0048] When the industrial computer leaves the factory, the ideal output values ​​of the current and voltage signals under normal working conditions will be given. These values ​​are set according to the design parameters and performance standards of the industrial computer, and represent the expected output of the industrial computer under the best working conditions. Based on the ideal output values ​​of the current signal and voltage signal under normal working conditions given by the industrial computer when it leaves the factory and the actual measured output values ​​of the current and voltage, the current error signal and voltage error signal are obtained (the current error signal and voltage error signal here are both normalized values).

[0049] Then the expression of the current error signal is:

[0050]

[0051] In the formula, is the current error signal, is the current value under ideal conditions, is the actual measured current value.

[0052] Similarly, the expression for the voltage error signal is:

[0053]

[0054] In the formula, is the voltage error signal, is the voltage value under ideal conditions, is the actual measured voltage value.

[0055] In addition, after obtaining the current signal and voltage signal within the set time period, select a suitable chart drawing tool, such as Excel, MATLAB, Python, Tableau, etc., import the collected time, current and voltage signals into the drawing tool, use the time data as the X-axis value, and the current / voltage amplitude value as the Y-axis value, draw the curve of current and voltage changing with time, and distinguish the two curves by different colors.

[0056] S2: Input the current error signal and the voltage error signal into the optimized PID controller and output the control signal to adjust the operating state of the industrial computer.

[0057] Specifically, first, take any moment as the center point to intercept the current and voltage values ​​corresponding to a set number of moments before and after the center point, sort the current and voltage values ​​in order of the moments to obtain a data point sequence, construct a time series, and then obtain multiple time series.

[0058] For example, Take the second as the center point, cut off one second to the left and right, and mark it as the Seconds and seconds, and mark the intercepted time series as time series, and we can obtain In other embodiments, at least two related data may be intercepted to the left and right, respectively.

[0059] The first Seconds, Seconds and The current amplitude value corresponding to seconds is marked as , and , and similarly Seconds, Seconds and The voltage amplitude value corresponding to seconds is marked as , and .

[0060] The constructed time series is expressed as: {( , , ), , , ), ( , , )}.

[0061] Then calculate the intercepted The average current and voltage amplitude values ​​and the current and voltage standard deviation values ​​of the time series are calculated, and then the first fluctuation degree is calculated. The process of obtaining the first volatility of a time series is:

[0062] Calculate the The absolute value of the difference between the current amplitude value at the center point of a time series and the average current amplitude value of the time series, and the absolute value of the difference between the voltage amplitude value and the average voltage amplitude value of the time series;

[0063] Normalize the sum of the absolute values ​​of the two differences to get The first volatility of a time series.

[0064] For example, The first volatility of a time series satisfies the following relationship:

[0065]

[0066] In the formula, For the The first volatility of a time series, is the inverse tangent function, For the The current amplitude value at the center point of the time series is For the The average current amplitude value of the time series is For the The voltage amplitude value at the center point of the time series is For the The average voltage amplitude of a time series.

[0067] in, , The smaller, the The smaller the first fluctuation of a time series.

[0068] In another embodiment, The first volatility of a time series satisfies the following relationship:

[0069]

[0070] In the formula, For the The first volatility of a time series, is the inverse tangent function, For the The current standard deviation of the time series, For the The voltage standard deviation of the time series.

[0071] In obtaining the After obtaining the first fluctuation degree of a time series, the first fluctuation degrees of all time series can be obtained by the same logic, and then the average value of the first fluctuation degrees of all time series can be calculated.

[0072] In the current signal diagram Take the peak as an example, get The peak adjacent to the right of the peak is Peaks and corresponding times , current amplitude value Then we get the trough between the two peaks, i.e. Troughs and their corresponding times , current amplitude value .

[0073] The first The peak-to-peak fluctuation degree of the wave crest satisfies the following relationship:

[0074]

[0075] In the formula, For the The peak-to-peak fluctuation of the wave peaks, For the The time corresponding to the peak, For the The current amplitude value corresponding to the peak, An exponential function with the natural constant e as base.

[0076] Similarly, according to the above The calculation method of the peak-to-peak fluctuation degree of the peaks can obtain the peak-to-peak fluctuation degree of all peaks, and the average value of all peak-to-peak fluctuation degrees is used as the overall fluctuation degree of the current signal graph and marked as .

[0077] Similarly, according to the method of obtaining the overall fluctuation degree of the current signal graph, the overall fluctuation degree of the voltage signal graph can be calculated and marked as .

[0078] Then, the second fluctuation degree in the set time period of collection is obtained according to the overall fluctuation degree of the current signal graph and the overall fluctuation degree of the voltage signal graph, and the second fluctuation degree satisfies the relationship:

[0079]

[0080] In the formula, is the second fluctuation degree, is the inverse tangent function, The current signal is The current amplitude value corresponding to the peak, The current signal is The time corresponding to the peak, The voltage signal is The voltage amplitude value corresponding to the peak, The voltage signal is The time corresponding to the peak, is the overall fluctuation degree of the current signal graph, is the overall fluctuation degree of the voltage signal graph. Among them, The value of is 1. The value of is 1. In the current signal graph and the voltage signal graph, the faster the signal rises from 0 seconds to the first peak, and the greater the overall fluctuation of the current and voltage signal graphs, the greater the overall second fluctuation of the overall change of the current signal graph and the voltage signal graph in a long time, and the worse the stability of the current signal graph and the voltage signal graph.

[0081] in, , are weights. For example, , Since the initial signal climbing speed has little effect on the overall fluctuation, The value should be set to less than .

[0082] In another embodiment, the second fluctuation degree satisfies the relationship:

[0083] ; In the formula, is the second fluctuation degree, is an exponential function with base e, is the maximum peak value of the current in the current signal diagram, is the time when the current reaches the maximum peak value, is the maximum peak value of the voltage in the voltage signal diagram, is the time when the voltage reaches the maximum peak value, is the overall fluctuation degree of the current signal graph, is the overall fluctuation degree of the voltage signal graph, , All are weights.

[0084] According to the first fluctuation degree and the second fluctuation degree, the first influence factor is obtained. The first influence factor can reflect the fluctuation of the current and voltage signals. The greater the fluctuation of the current and voltage signals, the more drastic the changes of the current and voltage. In order to maintain the stability of the system, the proportional gain coefficient should be appropriately reduced by adjusting the first influence factor, and vice versa.

[0085] Then the first impact factor satisfies the following relationship:

[0086]

[0087] In the formula, is the first impact factor, is the average value of the first impact factor, The second impact factor is It represents normalization processing, mapping the average value of the first fluctuation degree and the sum of the second fluctuation degree to the interval (0, 1).

[0088] Finally, the variance of the ratio of all voltage signals to current signals in the time period is calculated, and the variance is used as the second influencing factor. The larger the variance value, the more drastic and unstable the change of the corresponding resistance value per second, and the larger the second influencing factor.

[0089] In the embodiment of the present invention, after the first influencing factor and the second influencing factor are obtained, the sum of the first influencing factor and the second influencing factor is used as the influencing factor to comprehensively evaluate the fluctuation of the current signal and the voltage signal.

[0090] Then the above impact factors satisfy the following relationship:

[0091]

[0092] In the formula, is the impact factor, is the first impact factor, It is the second impact factor.

[0093] In another embodiment, the above-mentioned influencing factors satisfy the following relationship:

[0094]

[0095] In the formula, , They are all weights and can be adjusted according to actual conditions.

[0096] The current error signal and the voltage error signal obtained in step S1 are combined to obtain an adjusted proportional gain.

[0097] The adjusted proportional gain satisfies the following relationship:

[0098] +

[0099] In the formula, is the adjusted proportional gain, is the impact factor, , They are the current error signal and the voltage error signal respectively. , They are the allowable deviation of the rated current and rated voltage of the industrial computer. is the proportional gain before adjustment, is an exponential function with the natural constant e as the base. Among them, is the maximum value.

[0100] It should be noted that in the factory settings of industrial computers or other electrical equipment, manufacturers usually set the allowable deviation of rated current and rated voltage according to national or international standards (such as IEC standards). For example, for general-purpose motors, the allowable deviation of rated voltage is usually ±5% rated voltage.

[0101] When the current error signal is proportional to the rated current error When the ratio of the voltage error signal to the rated voltage error is less than 1, the proportional gain value before adjustment is not expanded; When it is less than 1, the proportional gain value before adjustment is not expanded; otherwise, it is expanded. The proportional gain value before adjustment is obtained by gradually increasing the proportional gain until the system starts to oscillate continuously. When the first influence factor and the second influence factor are larger, it means that the fluctuation degree of the current and voltage signals is larger. At this time, the proportional gain value should be reduced. When the current and voltage error signals are larger, the proportional gain value should be increased.

[0102] According to the adjusted proportional gain, the existing integral gain value and the differential gain value, the control signal output by the optimized PID controller is obtained. After obtaining the control signal output by the optimized PID controller, for example, the duty cycle is adjusted. Specifically, the proportional gain is gradually increased. Until the system starts to oscillate continuously (that is, when the output of the PID controller shows periodic fluctuations), record the critical gain 𝐾𝑢 and the oscillation period 𝑇𝑢 at this time. Use the Ziegler-Nichols formula to calculate and The Ziegler-Nichols formula belongs to the prior art and will not be described in detail here.

[0103] The output control signal satisfies the following relationship:

[0104]

[0105] In the formula, is the control signal, is the current error signal, is the voltage error signal, is the adjusted proportional gain, is the integral gain, is the differential gain.

[0106] The control signal to be output After being converted into an analog signal by a DAC analog converter, a signal amplifier (such as an operational amplifier) ​​can also be used to amplify the output signal of the DAC to ensure that the signal strength is sufficient to drive the actuator.

[0107] In the embodiment of the present invention, relevant staff sets the safety thresholds of current and voltage according to the specifications of the industrial computer and other equipment; in addition, the controlled equipment in the industrial computer control system is set to be the power module of the industrial computer.

[0108] The obtained analog signal is transmitted to the control system of the industrial computer through a wire connection. The analog signal is analyzed and processed according to the preset control algorithm (such as PID control, fuzzy control or other advanced control strategies) running by the industrial computer. According to the results, the control system of the industrial computer determines whether the current current and voltage are within the corresponding safety threshold. If the current current or voltage exceeds the safety threshold, the control system of the industrial computer sends a control instruction to the actuator (such as a circuit breaker) in the power module through the output interface. After receiving the control instruction, the actuator performs the corresponding action, such as disconnecting the circuit or adjusting the power supply.

[0109] At this point, the control method for the industrial computer is completed, providing a safer, more reliable and efficient operating environment for the industrial computer.

[0110] The embodiment of the present invention further discloses an industrial computer control system based on data processing, including a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the industrial computer control method based on data processing according to the present invention is implemented.

[0111] The system also includes other components familiar to those skilled in the art, such as a communication bus and a communication interface. The configuration and functions of these components are known in the art and will not be described in detail here.

[0112] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module or both. Any such computer storage medium may be part of a device or accessible or connectable to a device.

[0113] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0114] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

Claims

1. An industrial computer control method based on data processing, characterized in that: include: Obtaining the normalized current signal, voltage signal, current error signal, and voltage error signal of the industrial computer within a set working time period; The current error signal and the voltage error signal are input into the optimized PID controller, and the control signal is output to adjust the operating state of the industrial computer; The PID controller optimization process includes: The proportional gain is adjusted to obtain the adjusted proportional gain, and the expression is: + ; In the formula, is the adjusted proportional gain, is the impact factor, , They are the current error signal and the voltage error signal respectively. , They are the allowable deviation of the rated current and rated voltage of the industrial computer. is the proportional gain before adjustment, is an exponential function with the natural constant e as the base; the impact factor is used to evaluate the fluctuation of the current signal and the voltage signal; The adjusted proportional gain is combined with the existing integral and derivative gains to optimize the output of the PID controller.

2. The industrial computer control method based on data processing according to claim 1 is characterized in that: The process of regulating the operating state of the industrial computer includes: The control signal is transmitted to the industrial computer control system. When it is detected that the current current or voltage exceeds the preset current or voltage safety threshold, the industrial computer sends a control instruction to the actuator in the built-in power module of the industrial computer and executes the control action. The control action is to disconnect the circuit of the industrial computer or adjust the power supply of the industrial computer.

3. The industrial computer control method based on data processing according to claim 2 is characterized in that: The expression of the control signal is: ; In the formula, is the control signal, is the current error signal, is the voltage error signal, is the adjusted proportional gain, is the integral gain, is the differential gain.

4. The industrial computer control method based on data processing according to claim 3 is characterized in that: Also includes the steps: A current signal graph and a voltage signal graph are created; the current signal graph is configured with a horizontal axis representing time and a vertical axis representing current value; the voltage signal graph is configured with a horizontal axis representing time and a vertical axis representing voltage value.

5. The industrial computer control method based on data processing according to claim 4 is characterized in that: The process of obtaining the impact factor includes: Taking any moment as the center point, intercepting the current and voltage values ​​corresponding to a set number of moments before and after the center point, sorting the current and voltage values ​​in order of the moments to obtain a data point sequence, constructing a time series, calculating the first fluctuation degree of the time series and the second fluctuation degree of the time period, and normalizing the average of the first fluctuation degrees and the second fluctuation degrees of multiple time series to obtain a first influencing factor; Calculating the variance of the ratio of all voltage signals to current signals within the time period, and using the variance as a second influencing factor; The sum of the first impact factor and the second impact factor is taken as the impact factor.

6. The industrial computer control method based on data processing according to claim 5 is characterized in that: The process of obtaining the first fluctuation degree is as follows: Calculate the absolute value of the difference between the current amplitude value at the center point of any time series and the average current amplitude value of the time series, and the absolute value of the difference between the voltage amplitude value and the average voltage amplitude value of the time series; The first fluctuation degree is obtained by normalizing the sum of the absolute values ​​of the two differences.

7. The industrial computer control method based on data processing according to claim 5 is characterized in that: The process of obtaining the first fluctuation degree is as follows: Calculate the current standard deviation and voltage standard deviation of any time series; The average of the sum of the current standard deviation value and the voltage standard deviation value is taken as the first fluctuation degree.

8. The industrial computer control method based on data processing according to claim 6 is characterized in that: The second fluctuation degree satisfies the relationship: ; In the formula, is the second fluctuation degree, is the inverse tangent function, The current signal is The current amplitude value corresponding to the peak, The current signal is The time corresponding to the peak, The voltage signal is The voltage amplitude value corresponding to the peak, The voltage signal is The time corresponding to the peak, is the overall fluctuation degree of the current signal graph, is the overall fluctuation degree of the voltage signal graph, , are weights, The value of is 1. The value of is 1.

9. The industrial computer control method based on data processing according to claim 6 is characterized in that: The second fluctuation degree satisfies the relationship: ; In the formula, is the second fluctuation degree, is an exponential function with base e, is the maximum peak value of the current in the current signal diagram, is the time when the current reaches the maximum peak value, is the maximum peak value of the voltage in the voltage signal diagram, is the time when the voltage reaches the maximum peak value, is the overall fluctuation degree of the current signal graph, is the overall fluctuation degree of the voltage signal graph, , All are weights.

10. The industrial computer control system based on data processing is characterized by: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the industrial computer control method based on data processing according to any one of claims 1 to 9 is implemented.

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