Production equipment control system of electronic component

Abstract

The invention relates to the technical field of equipment control, and discloses a production equipment control system for electronic components. According to the system, related parameters of production equipment of electronic components are acquired through a data acquisition module, acquired data are processed and analyzed through a data processing module, and the average operation temperature, the average humidity, the stable operation power, the standard current, the standard voltage, the operation efficiency and the vibration frequency value of the production equipment are calculated; the abnormal monitoring module performs threshold analysis on the abnormal monitoring index of the production equipment, when the index exceeds a preset range, a control signal is sent to the control module, and when the control module receives the control signal, the control module performs real-time control on the production equipment of the electronic component. Equipment operation parameters are automatically adjusted, a comprehensive adjustment report is generated after control adjustment is completed, and the display module sends the comprehensive adjustment report to production management personnel through an internal network.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control, and in particular to a production equipment control system for electronic components. Background Art

[0002] Electronic components are the basic components of modern electronic equipment and play a vital role in various electronic products. Their functions vary, including signal processing, power management, data transmission and storage, etc. Common types of electronic components include resistors, capacitors, diodes, transistors, integrated circuits, etc. These components not only realize basic electrical functions in electronic systems, but also constitute more complex circuits and systems. The production equipment of electronic components is a core component of the manufacturing process and directly affects the quality, efficiency and cost of the product. High-precision and high-reliability production equipment can ensure the performance and quality of electronic components, reduce defect rates, and reduce rework and scrap costs. Controlling electronic component production equipment is to ensure product quality, production efficiency and maximum resource utilization. The intelligent control system can effectively monitor the operating status of the equipment to ensure that the equipment operates within a safe range.

[0003] Currently, when controlling the production equipment of electronic components, manual methods are still needed to adjust abnormal parameters of the equipment. At this time, the equipment needs to be shut down to avoid operational hazards, which also leads to a decrease in the working efficiency of the production equipment. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In view of the shortcomings of the existing technology, the present invention provides a production equipment control system for electronic components, which has the function of collecting relevant parameters of the production equipment of electronic components through a data acquisition module, and the data processing module processes and analyzes the collected data, calculates the average operating temperature Yxpw of the production equipment, the average humidity HPSD of the production equipment operating environment, the stable operating power Wygl of the production equipment, the standard current Sbdl of the production equipment, the standard voltage Sbdy of the production equipment, the operating efficiency Yxxl of the production equipment, and the vibration frequency value Spzd of the production equipment, and calculates the abnormal monitoring index Jczb of the production equipment based on the above numerical values ​​and transmits it to the abnormal monitoring module. The abnormal monitoring module performs abnormal monitoring on the production equipment. Jczb performs threshold analysis. When the indicator exceeds the preset range, a control signal Dy is sent to the control module. The control signal will be accompanied by specific information about the abnormal parameters of the production equipment. When the control module receives the control signal Dy, it will control the production equipment of electronic components in real time and automatically adjust the equipment operating parameters. After the control and adjustment are completed, a comprehensive adjustment report will be generated. The display module will send the comprehensive adjustment report to the production management personnel through the internal network. By calculating the relevant parameters of the production equipment, the abnormal situation of the production equipment is judged, and the system automatically makes control adjustments to the abnormal parameters, avoiding the disadvantage of manual control adjustment requiring shutdown, improving the working efficiency of the production equipment of electronic components, and solving the above problems.

[0006] (2) Technical solution

[0007] To achieve the above-mentioned object, the present invention provides the following technical solutions: a production equipment control system for electronic components, comprising a data acquisition module, a data processing module, an abnormality monitoring module, a control module and a display module;

[0008] The data acquisition module includes a temperature acquisition unit, a humidity acquisition unit, an equipment operation status acquisition unit and a power acquisition unit;

[0009] The temperature acquisition unit collects the operating temperature data of the production equipment through the temperature sensor, the humidity acquisition unit collects the environmental humidity data of the production equipment through the humidity sensor, the equipment operation status acquisition unit is used to collect the operating vibration data of the production equipment through the vibration sensor, and the power acquisition unit collects the current, voltage and power parameters of the production equipment during operation through the power sensor. The above-mentioned collected data are transmitted to the data processing module through the wireless network;

[0010] The data processing module processes and analyzes the transmitted data, calculates the average operating temperature Yxpw of the production equipment, the average humidity HPSD of the production equipment operating environment, the stable operating power Wygl of the production equipment, the standard current Sbdl of the production equipment, the standard voltage Sbdy of the production equipment, the operating efficiency Yxxl of the production equipment, and the vibration frequency value Spzd of the production equipment, and calculates the abnormal monitoring index Jczb of the production equipment based on the above values ​​and transmits it to the abnormal monitoring module;

[0011] The abnormality monitoring module performs threshold analysis on the abnormality monitoring index Jczb of the production equipment. When the index exceeds the preset range, it sends a control signal Dy to the control module. The control signal will be accompanied by specific information about the abnormal parameters of the production equipment.

[0012] When the control module receives the control signal Dy, it controls the production equipment of electronic components in real time, automatically adjusts the equipment operating parameters, and generates a comprehensive adjustment report after the control adjustment is completed;

[0013] The display module sends the comprehensive adjustment report to the production management personnel through the internal network.

[0014] Preferably, the data processing module processes and analyzes the transmitted data to calculate the average operating temperature Yxpw of the production equipment. The calculation formula is as follows:

[0015]

[0016] In the formula, Yxpw represents the average operating temperature of the production equipment, Tp represents the operating temperature of the production equipment, i represents the count subscript, k represents the adjustment coefficient, which is 2 and is used to set the tolerance range of the standard temperature, and n represents the total number of temperature data.

[0017] Preferably, the data processing module processes and analyzes the transmitted data and calculates the average humidity Hpsd of the operating environment of the production equipment. The calculation formula is as follows:

[0018]

[0019] In the formula, Hpsd represents the average humidity of the production equipment operating environment, m represents the number of humidity data, j represents the count subscript, and Hd j Represents the humidity data of the operating environment of the j-th production equipment.

[0020] Preferably, the data processing module processes and analyzes the transmitted data to calculate the stable operating power Wygl of the production equipment. The calculation formula is as follows:

[0021]

[0022] In the formula, Wygl represents the stable operating power of the production equipment, L represents the total number of samples, p represents the count subscript, PM p Indicates the power data within each sampling period.

[0023] Preferably, the data processing module processes and analyzes the transmitted data and calculates the standard current Sbdl of the production equipment. The calculation formula is as follows:

[0024]

[0025] In the formula, Sbdl represents the standard current of the production equipment. represents the average value of the current data, Pa represents the current adjustment coefficient, which is 2, and Dbzc represents the standard deviation of the current data.

[0026] Preferably, the data processing module processes and analyzes the transmitted data and calculates the standard voltage Sbdy of the production equipment. The calculation formula is as follows:

[0027]

[0028] In the formula, Sbdy represents the standard voltage of the production equipment. represents the average value of voltage data, Py represents the voltage adjustment coefficient, which is 2, and Dyzc represents the standard deviation of voltage data.

[0029] Preferably, the data processing module processes and analyzes the transmitted data to calculate the production equipment operating efficiency Yxxl, and the calculation formula is as follows:

[0030]

[0031] In the formula, Yxxl represents the operating efficiency of the production equipment, Sbsc represents the output power of the equipment, and Sbsr represents the input power of the equipment.

[0032] Preferably, the data processing module processes and analyzes the transmitted data and calculates the vibration frequency value Spzd of the production equipment. The calculation formula is as follows:

[0033]

[0034] In the formula, Spzd represents the vibration frequency value of the production equipment, T represents the total time window, and f 2 (t) represents the time function, which is a signal that changes with time t, and dt represents the integral sign.

[0035] Preferably, the formula for calculating the production equipment abnormality monitoring index Jczb by the data processing module is as follows:

[0036] Jczb=0.2*Yxpw+0.1*Hpsd+0.1*Wygl+0.1*Sbdl+0.2*Sbdy+0.1*Yxxl+0.2*Spzd

[0037] In the formula, Jczb represents the abnormal monitoring index of production equipment, Yxpw represents the average operating temperature of production equipment, HPSD represents the average humidity of the operating environment of production equipment, Wygl represents the stable operating power of production equipment, Sbdl represents the standard current of production equipment, Sbdy represents the standard voltage of production equipment, Yxxl represents the operating efficiency of production equipment, Spzd represents the vibration frequency value of production equipment, 0.2 and 0.1 represent the weights represented by their respective parameters, and the total is 1.

[0038] Preferably, the abnormality monitoring module performs threshold analysis on the production equipment abnormality monitoring indicator Jczb in the following manner:

[0039] When the value of the production equipment abnormality monitoring indicator Jczb is greater than 10, it means that the production equipment is operating abnormally, and a control signal Dy is sent to the control module.

[0040] Compared with the prior art, the present invention provides a production equipment control system for electronic components, which has the following beneficial effects:

[0041] The present invention uses a data acquisition module to collect relevant parameters of electronic component production equipment. The data processing module processes and analyzes the collected data to calculate the average operating temperature Yxpw of the production equipment, the average humidity HPSD of the production equipment operating environment, the stable operating power Wygl of the production equipment, the standard current Sbal of the production equipment, the standard voltage Sbdy of the production equipment, the operating efficiency Yxxl of the production equipment, and the vibration frequency value Spzd of the production equipment. The above values ​​are then combined to calculate the production equipment abnormality monitoring index Jczb, which is transmitted to the abnormality monitoring module. The abnormality monitoring module performs threshold analysis on the production equipment abnormality monitoring index Jczb. When the index exceeds a preset range, a control signal Dy is sent to the control module. The control signal includes specific information about the abnormal parameters of the production equipment. Upon receiving the control signal Dy, the control module controls the electronic component production equipment in real time and automatically adjusts the equipment operating parameters. After the control and adjustment are completed, a comprehensive adjustment report is generated. The display module transmits the comprehensive adjustment report to the production management personnel via the internal network. By calculating the relevant parameters of the production equipment, the system determines the abnormality of the production equipment and automatically makes control adjustments to the abnormal parameters, avoiding the disadvantage of manual control and adjustment requiring shutdown, thereby improving the working efficiency of the electronic component production equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 Schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0043] 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.

[0044] When controlling the production equipment of electronic components, manual adjustment of abnormal parameters of the equipment is required. This requires the equipment to be shut down to avoid operational hazards, which also leads to a decrease in the efficiency of the production equipment. To this end, a control system for the production equipment of electronic components is proposed. Figure 1 ,The system includes a data acquisition module, a data processing module, an abnormality monitoring module, a control module and a display module;

[0045] The data acquisition module is a key component for equipment monitoring and management. It includes multiple functional units: a temperature acquisition unit, a humidity acquisition unit, an equipment operation status acquisition unit, and a power acquisition unit. The temperature acquisition unit uses thermocouples to monitor the operating temperature of production equipment in real time. The humidity acquisition unit uses a capacitive humidity sensor to collect humidity data in the production environment, which is crucial for maintaining stable equipment operation and preventing electrical failures caused by moisture. The equipment operation status acquisition unit uses a highly sensitive vibration sensor accelerometer to monitor the vibration status of the equipment and analyze vibration data in real time to determine the equipment's operating stability and potential failures. The power acquisition unit uses current transformers and voltage transformers to obtain the current, voltage, and power parameters of the equipment during operation. Accurate collection of this data is an important basis for evaluating equipment energy efficiency and ensuring power safety.

[0046] All collected data is digitized and integrated by these sensors and then efficiently transmitted to the data processing module via the wireless network LoRa long-distance wireless communication technology;

[0047] The data processing module processes and analyzes the transmitted data, calculates the average operating temperature Yxpw of the production equipment, the average humidity HPSD of the production equipment operating environment, the stable operating power Wygl of the production equipment, the standard current Sbdl of the production equipment, the standard voltage Sbdy of the production equipment, the operating efficiency Yxxl of the production equipment, and the vibration frequency value Spzd of the production equipment, and calculates the abnormal monitoring index Jczb of the production equipment based on the above values, where:

[0048] The calculation formula for the average operating temperature of production equipment is as follows:

[0049]

[0050] Calculating the average operating temperature can help companies understand and monitor the thermal performance of equipment during the production process. In the formula, Yxpw represents the average operating temperature of production equipment, Tp represents the operating temperature of production equipment, i represents the counting subscript, k represents the adjustment coefficient (2), which is used to set the tolerance range of the standard temperature, and n represents the total number of temperature data. By analyzing temperature data, it is possible to determine whether the equipment is operating in the optimal state, thereby preventing failures or downtime caused by overheating. This also helps achieve energy conservation and emission reduction by preventing equipment from consuming excessive electricity at unnecessary high temperatures.

[0051] The formula for calculating the average humidity in the operating environment of production equipment is as follows:

[0052]

[0053] Humidity is crucial for the production environment of electronic components. By monitoring the average humidity, the impact of the production environment on the quality of components can be effectively evaluated. Excessive humidity may cause components to become damp, affecting their performance and reliability, while low humidity may cause static electricity accumulation, increasing the risk of damage. In the formula, Hpsd represents the average humidity of the production equipment operating environment, m represents the number of humidity data, j represents the count subscript, and Hd j represents the humidity data of the operating environment of the jth production equipment. Calculating humidity data not only helps ensure the final quality of the product, but also provides real-time feedback for environmental control, making it easier to adjust the production environment to achieve the optimal state;

[0054] The formula for calculating the stable operating power of production equipment is as follows:

[0055]

[0056] The calculation of stable operating power can help enterprises identify the energy consumption pattern of production equipment. By comparing the actual energy consumption with the expected energy consumption under ideal conditions, enterprises can identify the operating efficiency of the equipment, which is of great significance for solving energy waste and optimizing operations. In the formula, Wygl represents the stable operating power of production equipment, L represents the total number of samples, p represents the count subscript, and PM p Indicates the power data within each sampling period. Long-term monitoring of power data can also analyze the workload and health status of the equipment to determine whether maintenance or replacement is needed;

[0057] The calculation formula for the standard current of production equipment is as follows:

[0058]

[0059] The calculation of standard current enables companies to set a benchmark to monitor current changes in equipment. Excessively high or low current values ​​may be a precursor to equipment failure. Timely monitoring and response can avoid greater losses. In the formula, Sbal represents the standard current of production equipment. represents the average value of current data, Pa represents the current adjustment coefficient, which is 2, and Dbzc represents the standard deviation of current data. By monitoring current, enterprises can optimize energy use, improve safety, reduce operational risks, and quickly locate problems in abnormal situations.

[0060] The formula for calculating the standard voltage of production equipment is as follows:

[0061]

[0062] The calculation of the standard voltage allows production equipment to be maintained within an appropriate voltage range during operation. By continuously monitoring the voltage, it can be ensured that the equipment will not be damaged by voltage overload, and measures can be taken quickly when voltage anomalies occur to prevent the impact on the production process. In the formula, Sbdy represents the standard voltage of the production equipment. represents the average value of voltage data, Py represents the voltage adjustment coefficient, which is 2, and Dyzc represents the standard deviation of voltage data;

[0063] The calculation formula for production equipment operating efficiency is as follows:

[0064]

[0065] The calculation of operating efficiency directly reflects the production capacity of equipment and the rationality of resource utilization. By analyzing the ratio of equipment production output to energy consumption, companies can identify potential bottlenecks or areas in the production process and take corresponding improvement measures to improve overall production efficiency and reduce costs. In the formula, Yxxl represents the operating efficiency of production equipment, Sbsc represents the output power of the equipment, and Sbsr represents the input power of the equipment. Effective efficiency monitoring not only improves the flexibility and responsiveness of the production process, but also helps optimize production planning and resource allocation.

[0066] The calculation formula for the vibration frequency value of production equipment is as follows:

[0067]

[0068] Vibration frequency monitoring is an important part of equipment status assessment. By calculating the vibration frequency, enterprises can promptly identify abnormal vibration conditions of equipment, such as imbalance, looseness, or friction, and take corresponding maintenance measures to avoid equipment damage and reduce failure rates. In the formula, Spzd represents the vibration frequency value of the production equipment, T represents the total time window, and f 2(t) represents the time function, which is a signal that changes with time t. dt represents the integral symbol. The long-term accumulation of vibration data can provide a scientific basis for equipment health management and maintenance strategies, thereby improving production safety and stability.

[0069] The formula for the production equipment abnormality monitoring index Jczb is as follows:

[0070] Jczb=0.2*Yxpw+0.1*Hpsd+0.1*Wygl+0.1*Sbdl+0.2*Sbdy+0.1Yxxl+0.2*Spzd

[0071] After calculating and analyzing the above numerical values, a comprehensive production equipment abnormality monitoring indicator system can be formed. This system enables enterprises to timely discover potential problems and achieve real-time monitoring of equipment health status through multi-dimensional data monitoring during the production process. In the formula, Jczb represents the production equipment abnormality monitoring indicator, Yxpw represents the average operating temperature of the production equipment, HPSD represents the average humidity of the production equipment operating environment, Wygl represents the stable operating power of the production equipment, Sbdl represents the standard current of the production equipment, Sbdy represents the standard voltage of the production equipment, Yxxl represents the operating efficiency of the production equipment, Spzd represents the vibration frequency value of the production equipment, 0.2 and 0.1 represent the weights represented by their respective parameters, and the total is 1;

[0072] In the anomaly monitoring module, threshold analysis of abnormal monitoring indicators for production equipment is a key process to ensure normal equipment operation and production efficiency. When the monitored indicator value exceeds the set threshold of 10, this change will be promptly identified by the system, indicating that there is an abnormal operation of the production equipment. This automated anomaly detection mechanism serves as an early warning, allowing the system to take necessary measures before the problem escalates.

[0073] In the specific implementation process, once an indicator is detected to exceed the threshold, the abnormality monitoring module will immediately generate a control signal and pass it to the control module. This signal not only contains the specific value and type of the abnormal indicator, but also includes the timestamp of the abnormality and related historical data;

[0074] When the control module receives a control signal from the anomaly monitoring module, it immediately implements real-time control of the electronic component production equipment to quickly respond to detected anomalies. This control process relies on advanced automation and intelligent control technologies and includes multiple steps:

[0075] First, the control module analyzes the specific indicators contained in the abnormal signal, such as current, vibration frequency, and temperature, and automatically determines the required adjustment strategy based on the set control algorithm. This process may involve the use of a model-based control algorithm to accurately calculate the required adjustment range and direction, and automatically adjust the equipment's operating parameters, such as speed, power, and workload.

[0076] During the adjustment process, the system also monitors the equipment's feedback data in real time to ensure the effectiveness of the adjustment measures. The control module can obtain feedback on the equipment's operating status through real-time data exchange with existing sensor interfaces and dynamically update the adjustment strategy. This closed-loop control mechanism enhances the flexibility and adaptability of the equipment's response, ensuring that the equipment can maintain optimal performance under different operating conditions.

[0077] After the adjustment is completed, the control module will generate a comprehensive adjustment report, which records in detail the cause of the abnormal event, the adjustment measures taken, the operating parameters of the equipment after adjustment and its feedback results;

[0078] The display module sends the comprehensive adjustment report to the production management personnel through the internal network.

[0079] By calculating the relevant parameters of the production equipment and judging the abnormal conditions of the production equipment, the system automatically makes control adjustments to the abnormal parameters, avoiding the disadvantage of manual control and adjustment requiring shutdown, and improving the working efficiency of the production equipment of electronic components.

[0080] 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. A production equipment control system for electronic components, characterized by: It includes data acquisition module, data processing module, abnormality monitoring module, control module and display module; The data acquisition module includes a temperature acquisition unit, a humidity acquisition unit, an equipment operation status acquisition unit and a power acquisition unit; The temperature acquisition unit collects the operating temperature data of the production equipment through the temperature sensor, the humidity acquisition unit collects the environmental humidity data of the production equipment through the humidity sensor, the equipment operation status acquisition unit is used to collect the operating vibration data of the production equipment through the vibration sensor, and the power acquisition unit collects the current, voltage and power parameters of the production equipment during operation through the power sensor. The above-mentioned collected data are transmitted to the data processing module through the wireless network; The data processing module processes and analyzes the transmitted data, calculates the average operating temperature Yxpw of the production equipment, the average humidity HPSD of the production equipment operating environment, the stable operating power Wygl of the production equipment, the standard current Sbdl of the production equipment, the standard voltage Sbdy of the production equipment, the operating efficiency Yxxl of the production equipment, and the vibration frequency value Spzd of the production equipment, and calculates the abnormal monitoring index Jczb of the production equipment based on the above values ​​and transmits it to the abnormal monitoring module; The abnormality monitoring module performs threshold analysis on the abnormality monitoring index Jczb of the production equipment. When the index exceeds the preset range, it sends a control signal Dy to the control module. The control signal will be accompanied by specific information about the abnormal parameters of the production equipment. When the control module receives the control signal Dy, it controls the production equipment of electronic components in real time, automatically adjusts the equipment operating parameters, and generates a comprehensive adjustment report after the control adjustment is completed; The display module sends the comprehensive adjustment report to the production management personnel through the internal network.

2. The electronic component production equipment control system according to claim 1, characterized in that: The data processing module processes and analyzes the transmitted data and calculates the average operating temperature Yxpw of the production equipment. The calculation formula is as follows: In the formula, Yxpw represents the average operating temperature of the production equipment, Tp represents the operating temperature of the production equipment, i represents the count subscript, k represents the adjustment coefficient, which is 2 and is used to set the tolerance range of the standard temperature, and n represents the total number of temperature data.

3. The electronic component production equipment control system according to claim 2, characterized in that: The data processing module processes and analyzes the transmitted data and calculates the average humidity Hpsd of the production equipment operating environment. The calculation formula is as follows: In the formula, Hpsd represents the average humidity of the production equipment operating environment, m represents the number of humidity data, j represents the count subscript, and Hd j Represents the humidity data of the operating environment of the j-th production equipment.

4. The electronic component production equipment control system according to claim 3, characterized in that: The data processing module processes and analyzes the transmitted data and calculates the stable operating power Wygl of the production equipment. The calculation formula is as follows: In the formula, Wygl represents the stable operating power of the production equipment, L represents the total number of samples, p represents the count subscript, PM p Indicates the power data within each sampling period.

5. The electronic component production equipment control system according to claim 4, characterized in that: The data processing module processes and analyzes the transmitted data and calculates the standard current Sbdl of the production equipment. The calculation formula is as follows: In the formula, Sbdl represents the standard current of the production equipment. represents the average value of the current data, Pa represents the current adjustment coefficient, which is 2, and Dbzc represents the standard deviation of the current data.

6. The electronic component production equipment control system according to claim 5, characterized in that: The data processing module processes and analyzes the transmitted data and calculates the standard voltage Sbdy of the production equipment. The calculation formula is as follows: In the formula, Sbdy represents the standard voltage of the production equipment. represents the average value of voltage data, Py represents the voltage adjustment coefficient, which is 2, and Dyzc represents the standard deviation of voltage data.

7. The electronic component production equipment control system according to claim 6, characterized in that: The data processing module processes and analyzes the transmitted data and calculates the production equipment operating efficiency Yxxl. The calculation formula is as follows: In the formula, Yxxl represents the operating efficiency of the production equipment, Sbsc represents the output power of the equipment, and Sbsr represents the input power of the equipment.

8. The electronic component production equipment control system according to claim 7, characterized in that: The data processing module processes and analyzes the transmitted data and calculates the vibration frequency value Spzd of the production equipment. The calculation formula is as follows: In the formula, Spzd represents the vibration frequency value of the production equipment, T represents the total time window, and f 2 (t) represents the time function, which is a signal that changes with time t, and dt represents the integral sign.

9. The electronic component production equipment control system according to claim 8, characterized in that: The formula for calculating the production equipment abnormality monitoring index Jczb by the data processing module is as follows: Jczb=0.2*Yxpw+0.1*Hpsd+0.1*Wygl+0.1*Sbdl+0.2*Sbdy+0.1*Yxxl+0.2*Spzd In the formula, Jczb represents the abnormal monitoring index of production equipment, Yxpw represents the average operating temperature of production equipment, HPSD represents the average humidity of the operating environment of production equipment, Wygl represents the stable operating power of production equipment, Sbdl represents the standard current of production equipment, Sbdy represents the standard voltage of production equipment, Yxxl represents the operating efficiency of production equipment, Spzd represents the vibration frequency value of production equipment, 0.2 and 0.1 represent the weights represented by their respective parameters, and the total is 1.

10. The electronic component production equipment control system according to claim 9, characterized in that: The abnormality monitoring module performs threshold analysis on the production equipment abnormality monitoring indicator Jczb in the following manner: When the value of the production equipment abnormality monitoring indicator Jczb is greater than 10, it means that the production equipment is operating abnormally, and a control signal Dy is sent to the control module.

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