Electric parameter real-time acquisition, detection and linkage early warning system and method based on edge calculation

Abstract

The invention relates to the technical field of electrical parameter measurement, in particular to an electrical parameter real-time acquisition, detection and linkage early warning system and method based on edge calculation. Comprising a data acquisition module used for acquiring current and voltage signals of to-be-detected equipment; the control processing module is used for filtering, calibrating and operating the electric signal acquired by the data acquisition module, and analyzing the running state of the to-be-detected equipment in real time in combination with a preset early warning threshold value; the man-machine interaction module is used for supporting a user to customize detection parameters of the data acquisition module and an early warning threshold value of the control processing module, and displaying a measurement result in real time; and the sound-light alarm module is used for carrying out rapid early warning on the abnormity detected by the control processing module. According to the system and the method, phase voltage, line voltage, phase current, frequency and power factors can be measured, interaction with a touch screen is controlled through a PLC, remote monitoring and management are performed through the Ethernet, the limitation is solved without depending on a traditional detection mode, and meanwhile, multifunctional measurement, data storage and fault early warning are integrated.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical parameter measurement, and particularly to a real-time acquisition, detection and linkage warning system and method for electrical parameters based on edge computing. Background Art

[0002] In the maintenance and detection of electrical equipment, maintenance personnel need to conduct multiple power-on tests according to electrical detection standards to ensure that the electrical performance meets the standards after maintenance. There are mainly two existing methods for electrical parameter detection: 1. Install and test on the original equipment: It can truly simulate the operating conditions, but the disassembly and assembly are cumbersome. If problems occur during the detection, it needs to be reinstalled, which affects the efficiency; 2. Temporary power supply test: The operation is simple, but usually it can only be detected under a single working condition (such as a fixed speed), and it is impossible to conduct a comprehensive test of multiple operating modes.

[0003] In the method for real-time acquisition, detection and linkage warning of electrical parameters based on edge computing, most existing electrical parameter measurement devices are mainly single-functional, difficult to meet the measurement requirements of multiple electrical equipment, and lack unified data storage, remote monitoring and intelligent warning functions. Most rely on manual operation, and the data recording method is backward, making it difficult to meet the development needs of modern industrial automation and intelligent monitoring. After literature retrieval, there is no completely identical comprehensive multi-purpose intelligent measurement device at home and abroad. Therefore, it is urgently needed to be solved. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent robot and system for detecting and accepting road geometric parameters, and the robot and system can...

[0005] To achieve the above object, the technical solution of the present invention is realized as follows. An intelligent robot and system for detecting and accepting road geometric parameters includes: A data acquisition module for acquiring the electrical signals of the device to be detected; generally equipped with a high-precision multi-functional measuring instrument to ensure high sensitivity and high precision of the detected electrical parameters and provide reliable data for subsequent analysis; A control and processing module for filtering, calibrating and calculating the electrical signals acquired by the data acquisition module, and combining with a preset warning threshold to analyze the operating state of the device to be detected in real time; it is the core of high-speed data processing and logical judgment; the PLC processes the acquired electrical parameters.

[0006] A human-computer interaction module equipped with a high-definition touch screen, which is used to support users to customize the detection parameters of the data acquisition module and the warning threshold of the control and processing module, and display the measurement results in real time in the form of charts and data lists; An audible and visual alarm module for quickly warning of the abnormalities detected by the control and processing module, so as to quickly abort the detection of the device to be detected.

[0007] Preferably, the electrical signals include the current and voltage of the device to be detected.

[0008] Preferably, the data acquisition module includes a current sensor and a voltage transformer.

[0009] Preferably, the control processing module includes a PLC controller and a computer.

[0010] Preferably, the human-computer interaction module includes a touch screen; the touch screen is provided with a human-computer interaction interface, which is used for data display, query, analysis, programmable control and multi-communication.

[0011] Preferably, the human-computer interaction interface adopts a modular pagination layout. The bottom of the interface is a parameter menu bar, the left side displays the real-time values ​​and bar charts of the three-phase voltage, the right side displays the historical curves, and the bottom also has a time axis and a query button to support switching to view voltage fluctuations in different time periods.

[0012] The human-machine interface is developed using MCGSPro configuration software, which builds a "data monitoring - trend analysis - historical traceability" visual interactive system, focusing on setting up multi-level interfaces for the core electrical parameters of the motor. The real-time data monitoring interface is used to integrate the monitoring of key parameters, and sets up interfaces for each parameter and real-time trend curves (custom time axis, multiple parameter overlay). Historical data tracing interface: Timeline search (calendar time period selection), left and right arrow keys to pan and search data; Visual programming enables a closed loop of "collection-display-storage-analysis" of electrical parameters, improving human-machine collaboration efficiency.

[0013] The device under test is generally an electric motor, and the data acquisition module includes a comprehensive multi-purpose intelligent measuring device; through the comprehensive multi-purpose intelligent measuring device, current data of electric motors of different types and power are acquired under all operating conditions.

[0014] Preferably, the method of using the edge computing-based real-time acquisition, detection, and linkage early warning system for electrical parameters is characterized by comprising the following steps: S1. Preparation Phase: First, disconnect the power to the device under test, then place the device under test vertically on the platform. Next, complete the wiring with the data acquisition module. Connect the phase line and neutral line of the data acquisition module to the power line outlet of the device under test, supply 220V power to the instrument, and clamp the three-phase power line of the device under test with the current clamp of the data acquisition module. S2. Power-on and status confirmation: Turn on the air switch of the data acquisition module, close the cabinet door and release the emergency stop button, and confirm that the device under test is powered on (red light is on), the PLC is in RUN mode, and the 24V power supply is normal (green light is on). S3. The data acquisition module begins testing the device under test. S4. Monitoring and Alarm Judgment: The touch screen displays the real-time electrical parameters of the device under test. If all parameters are qualified, the alarm interface is empty. If there is a non-qualified item, the touch screen displays an alarm scroll bar and the alarm interface stores the record. The scroll bar disappears after the parameter is qualified, and the record is retained. S5, Final Stage: After the test is completed, press the emergency stop button, pull the circuit breaker, disconnect the connecting wires, disconnect the instrument power, take the current clamp, and finally move the device vertically to a safe location for storage. The operation is now complete.

[0015] Preferably, in step S3, the process of the data acquisition module starting to detect the device to be tested includes: S31. The data acquisition module records the current changes in real time under different operating conditions of the device under test, such as no-load, full-load, start-up, and speed change, and plots a complete characteristic current value curve of the motor. S32. Based on the rated current parameters of the equipment under test, perform edge calculation analysis on the characteristic curve, extract the current extreme points and stable operating range boundary values ​​in the curve, and calculate the maximum current value (such as the starting peak value and overload critical value) and minimum current value (such as the no-load lower limit and underload critical value) of the equipment under test under different operating conditions. S33. After extensive verification under actual working conditions (covering different loads, ambient temperatures, running times, etc.), the edge current values ​​suitable for various types of motors will be determined and set as the upper limit threshold for preventing overload and short circuit and the lower limit threshold for preventing underload and idling. S34. The current data of the device under test is collected in real time and compared with the pre-stored characteristic curve and threshold of the device under test through edge computing. S35. If the comparison results show that the current data collected by the device under test exceeds the upper limit of the threshold or falls below the lower limit, an alarm will be triggered immediately. The alarm will be displayed on the touch screen, accompanied by audible and visual alarms, and the warning information will be pushed remotely. This will enable accurate judgment and rapid response to the current status of the motor, and greatly improve the intelligence and reliability of the monitoring.

[0016] In summary: First, edge nodes acquire and process motor current data at millisecond levels, building a feature matrix to support threshold calculation. Second, edge modules iteratively optimize thresholds by combining rated / historical data to adapt to different operating conditions of the devices under test. Third, edge computing preprocessing reduces latency (from seconds to milliseconds), enabling a closed-loop response of local alarms and near-end push notifications.

[0017] Preferably, the characteristic current value curve of the device under test has the running time and load rate on the horizontal axis and the current value on the vertical axis, and the characteristic current value curve includes characteristic segments such as the starting peak value, the stable operating value, and the load fluctuation range.

[0018] Preferably, the edge computing threshold model and formula are based on characteristic curves, and the extraction of key threshold parameters through edge computing includes: Maximum current value (I) max ) Calculate and eliminate instantaneous start-up peak values ​​(non-continuous dangerous conditions), and take the overload critical value as the basis: Imax=k1×Iload(overload); Where: k1 is the overload safety factor, which is set to 1.1 after 100 actual verifications; Minimum current value (I) min The calculation is based on the lower limit of the no-load current, taking into account the risk of underload: Imin = k2 × I0 (no-load); Where: k2 is the underload safety factor, which is 0.8 after actual verification.

[0019] The beneficial effects of this invention are: (1) The system provided by the present invention is based on the real-time acquisition, detection and linkage early warning method of electrical parameters based on edge computing. It can measure phase voltage, line voltage, phase current, frequency and power factor. It can be controlled by PLC and interacted with touch screen and remotely monitored and managed via Ethernet. It does not need to rely on traditional detection methods, thus solving their limitations. At the same time, it integrates multi-functional measurement, data storage and fault early warning, improves the intelligence and safety of detection, and ensures the reliability and stability of electrical equipment under different working conditions.

[0020] (2) The system and method provided by the present invention involve edge computing and remote communication technology applications; the direct application fields include power system operation and maintenance, industrial automation production monitoring, laboratory measurement, and can also be used for parameter detection after electrical equipment maintenance and repair, as well as electrical testing training for employees. It can meet the needs of electrical parameter measurement, early warning and skills training in multiple scenarios, and improve the intelligence and safety of electrical testing. Attached Figure Description

[0021] Figure 1 This is a system design architecture diagram of the present invention; Figure 2 This is the overall wiring diagram of the present invention; Figure 3 This is the overall flowchart of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] See Figure 1-3 As shown: This invention provides a system and method for real-time acquisition, detection and linkage early warning of electrical parameters based on edge computing. It is a method that integrates edge computing, electrical parameter measurement and automatic control technologies, and establishes a method for real-time acquisition, detection and linkage early warning of electrical parameters by using a comprehensive multi-purpose intelligent measurement device.

[0024] The system provided by this invention includes: Automatic detection function: Supports one-click start of automatic detection, with multi-channel synchronous sampling, and completes comprehensive measurement of motor electrical parameters within a set time, which improves efficiency compared with traditional manual detection.

[0025] Intelligent early warning function: Based on PLC logic operation, it compares the measured electrical parameters with preset thresholds in real time; when there is overload, undervoltage, or abnormal current, it will sound and light alarms and highlight the abnormal parameters on the touch screen to help quickly locate the problem.

[0026] The present invention provides a system that can determine I / O allocation: Input point (I): Assigns input ports for signals such as start, stop, and reset buttons.

[0027] Output point (O): Control port for actuators such as contactors, buzzers, and indicator lights.

[0028] This invention provides the system's main hardware selection and design: Hardware Selection for Electrical Parameter Measurement: When selecting hardware for the automatic electrical parameter measurement and early warning device, considering accuracy, cost, and convenience, a high-precision, multi-functional instrument demonstrated significant advantages after verification and comparison: accuracy of ≥99% for voltage and current measurements, and support for RS-485 communication. Ultimately, an instrument with an accuracy class of 0.5 was selected. A physical image is shown below. Figure 2 As shown.

[0029] System Control and Storage Hardware Selection: The selection of hardware for the system's control system is crucial, requiring strong logic control, precise computation, flexible design, and convenient communication with multifunction meters. After comprehensive evaluation, PLCs were chosen as the first choice due to their stability, reliability, and high integration. Ultimately, the Siemens S7-200 SMART series was selected as the core controller of the system. A physical image of the Programmable Logic Controller (PLC) is shown below. Figure 3 As shown.

[0030] System Human-Machine Interface Hardware Selection: The human-machine interface for the electrical parameter device needs to display data, query, analyze, programmable control, and multi-communication capabilities. Kunlun Tongtai Touchscreen HMI is the preferred choice due to its intelligent interaction, programmability, efficient communication, cost-effectiveness, and reliability.

[0031] System hardware installation and circuit design: The equipment adopts modular wiring: 220V is supplied to a stable 24V via circuit breaker and AC-DC, the instruments are connected to three phases (U, V, W) and N line, clamp sensors measure current, and shielded wires transmit signals to the PLC to ensure stability and resist interference.

[0032] System Overall Flowchart Design: The software is based on a PLC program and touchscreen interface, combining data acquisition, storage, communication, and intelligent early warning functions. The system flowchart is designed to achieve intelligent control and remote management. The overall flowchart is as follows: Figure 3 As shown.

[0033] The specific implementation steps are as follows: Preparation stage: First, disconnect the power to the equipment to be tested, then place the testing device vertically on the platform (to prevent tilting and slipping), and then complete the wiring (phase line + neutral line to the power line outlet of the equipment to be tested, instrument to supply 220V power, current clamp three-phase power line).

[0034] Power-on and status confirmation: Turn on the air switch of the device, close the cabinet door and release the emergency stop button, and confirm that the device is powered on (red light is on), the PLC is in RUN mode, and the 24V power supply is normal (green light is on).

[0035] Monitoring and alarm judgment: The touch screen displays real-time electrical parameters. If all parameters are qualified, the alarm interface is empty; if there is an unqualified item, the touch screen displays an alarm scroll bar and the alarm interface stores the record (the scroll bar disappears after the qualified item is qualified, and the record is retained).

[0036] Final stage: After use, press the emergency stop button, pull the circuit breaker, disconnect the connecting wires, disconnect the instrument power, take the current clamp, and finally move the device vertically to a safe location for storage. The operation is now complete.

[0037] Example 1 Based on the above method, this invention analyzes an edge computing example using a 2.2KW three-phase asynchronous motor as an example; a. Basic parameter settings: Rated parameters of a 2.2KW three-phase asynchronous motor: Rated power: 2.2KW. Rated voltage: 380V (three-phase). Rated current (I n ): 4.5A. Rated speed: 1440 r / min (asynchronous speed).

[0038] b. Full-condition current data acquisition and characteristic curves By collecting current data under different operating conditions using integrated intelligent measurement equipment, the characteristic current value curve of the motor is plotted (horizontal axis represents running time and load rate, vertical axis represents current value): Startup phase (0-5s): Peak startup current (I) stThe current is 6 times the rated current, i.e., 27A (instantaneous value, lasting about 0.5s), and then drops rapidly; No-load phase (5-30s): The no-load current (I0) stabilizes at 1.5A (approximately 33% of the rated current); Full load phase (30-180s): Full load current (I loa d) Stabilizes at 4.5A (equal to rated current); Overload phase (180-210s): Under 1.2 times the load, the current rises to 5.4A (and protection is not triggered for 30s). Underload phase (210-240s): The current drops to 1.2A under 0.2 times the load.

[0039] Curve characteristics: The starting section is peak-shaped, the unloaded and fully loaded sections are horizontal straight lines, and the overloaded and underloaded sections are stepped fluctuations.

[0040] c. Edge computing threshold model and formula Based on the characteristic curve, key threshold parameters are extracted through edge computing: Maximum current value (I) max )calculate Excluding instantaneous startup peak values ​​(non-sustained dangerous conditions), the overload threshold is used as the basis: Imax = k1 × Iload (overload) Where: k1 is the overload safety factor (1.1 after 100 actual verifications), Iload (overload) = 5.4A The calculation yields: Imax = 1.1 × 5.4 = 5.94A Minimum current value (I) min )calculate Based on the lower limit of no-load current, and considering the risk of underload: Imin = k2 × I0 (no-load) Where: k2 is the underload safety factor (0.8 after actual verification), I0 (no load) = 1.5A The calculation yields: Imin = 0.8 × 1.5 = 1.2A d. Final edge threshold determination After three months of operating condition verification on multiple motors of the same model (covering ambient temperatures of -10℃ to 40℃ and voltage fluctuations of ±10%), the following corrections were made and the following results were obtained: Upper limit threshold: 6.0A (to prevent continuous overload and winding overheating) Lower threshold: 1.1A (to prevent prolonged underload and mechanical jamming) (6) System Fault Detection and Early Warning Mechanism Program Design The system sets multiple security thresholds based on different models established in edge computing, monitors key parameters in real time, and triggers linked alarms. The early warning system combines instantaneous values ​​and trend analysis to trigger local alarms (scrolling prompts on the touchscreen).

[0041] The edge computing is applied as follows: when the motor operating current is >6.0A or <1.1A, the edge computing module triggers a local linkage alarm (touchscreen highlight display + buzzer alarm + remote push), with a response delay of <200ms, which improves efficiency compared to the traditional computing mode.

[0042] Accuracy verification of measurement data Example 2 (1) Verification method This verification adopts a comparative method, which uses a multimeter and clamp meter within their inspection validity period and a high-precision instrument with the same inspection validity period on the device. The measured line voltage and current data are transmitted to the human-machine interface for display through a PLC programmable controller, and the two data are compared. The deviation is required to be controlled within ±0.5%.

[0043] (2) Verification process 1) An automatic electrical parameter detection and early warning device and a multimeter were used to measure the line voltage of the same three-phase asynchronous motor, and the voltage measurement deviation between the two methods was calculated. The table below shows the voltage verification results of the device and the multimeter. Table 1. Voltage verification results of the device and multimeter.

[0044] Verification showed that the measured values ​​of the automatic electrical parameter detection and early warning device deviated from the voltage values ​​measured by the multimeter by less than 0.5%, meeting the design requirements.

[0045] 2) An automatic electrical parameter detection and early warning device and a clamp-on ammeter were used to measure the operating current of the same three-phase asynchronous motor, and the current measurement deviation between the two methods was calculated. The table below shows the verification results of the device and clamp-on ammeter. Table 2 Verification results of the device and clamp meter

[0046] Through the above verification, the deviation between the measured value of the automatic electrical parameter detection and early warning system and the current value measured by the clamp ammeter is within 0.5%, which meets the design requirements.

[0047] (3) Detection process and efficiency verification The system provided by this invention is widely applicable to the detection of electrical parameters of motors during maintenance by the maintenance team of the comprehensive support center. Through practical application, the average working time for testing a single motor has been reduced from 22 minutes for two people to 3 minutes for one person, increasing the detection efficiency by 93.2%. The table below shows the detection time record for practical application verification of this system with a multimeter and clamp meter.

[0048] Table 3. Record of Testing Time for Practical Application Verification of This System with Multimeters and Clamp Meters

[0049] (4) Verify device alarm by changing the warning threshold. During the alarm verification process, the system manually reduces the warning threshold value to a level lower than the actual measured value, thereby verifying whether the device will trigger an alarm. In the actual verification, by lowering the current warning threshold to a level lower than the measured value, the system's audible and visual alarm module triggered an alarm indicating that the detected current was out of tolerance.

[0050] In summary, the system provided by this invention can realize automated detection of electrical parameters: high-precision instruments collect electrical parameters, PLC stores and calculates no-load / full-load current and voltage, the system automatically records, and HMI realizes real-time display and historical backtracking of parameters, thus achieving automated monitoring of electrical parameters and improving efficiency by 93.2%.

[0051] At the same time, it can trigger an alarm when the electrical parameters of the tested equipment exceed the warning value: the PLC presets alarm thresholds for motor current and voltage, reads instrument data in real time and dynamically compares it with the threshold, and alarms are triggered when the upper limit is exceeded, realizing automated analysis of electrical parameters and accurate threshold determination.

[0052] In addition, it saves maintenance and repair time: by designing and applying an automated measurement and early warning device for electrical parameters, the maintenance team saves approximately 132,000 yuan in annual labor costs.

[0053] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A real-time acquisition, detection, and linkage early warning system for electrical parameters based on edge computing, characterized in that: include: The data acquisition module is used to acquire the electrical signals of the device under test. The control and processing module is used to filter, calibrate, and process the electrical signals acquired by the data acquisition module, and analyze the operating status of the device under test in real time in conjunction with the preset early warning threshold. The human-computer interaction module is used to support users in customizing the electrical signal detection parameters of the data acquisition module and the early warning thresholds of the control processing module, and to display the electrical signal measurement results in real time in the form of charts and data lists; The audible and visual alarm module is used to provide rapid early warning of anomalies detected by the control and processing module.

2. The real-time acquisition, detection, and linkage early warning system for electrical parameters based on edge computing according to claim 1, characterized in that, The electrical signals include the current and voltage of the device under test.

3. The real-time acquisition, detection, and linkage early warning system for electrical parameters based on edge computing according to claim 1, characterized in that, The data acquisition module includes a current sensor and a voltage transformer.

4. The real-time acquisition, detection, and linkage early warning system for electrical parameters based on edge computing according to claim 1, characterized in that, The control processing module includes a PLC controller and a computer.

5. The real-time acquisition, detection, and linkage early warning system for electrical parameters based on edge computing according to claim 1, characterized in that, The human-computer interaction module includes a touch screen; the touch screen is equipped with a human-computer interaction interface, which is used for data display, query, analysis, programmable control and multi-communication.

6. The real-time acquisition, detection, and linkage early warning system for electrical parameters based on edge computing according to claim 5, characterized in that, The human-computer interaction interface adopts a modular pagination layout. The bottom of the interface is a parameter menu bar, the left side displays the real-time three-phase voltage values ​​and bar charts, the right side displays the historical curves, and the bottom also has a time axis and query button, which supports switching to view voltage fluctuations in different time periods.

7. The method of using the edge computing-based real-time acquisition, detection, and linkage early warning system for electrical parameters according to any one of claims 1-6, characterized in that, Includes the following steps: S1. Preparation Phase: First, disconnect the power to the device under test, then complete the wiring to the data acquisition module. Connect the phase line and neutral line of the data acquisition module to the power line outlet of the device under test, supply 220V power to the instrument, and clamp the three-phase power line of the device under test with the current clamp of the data acquisition module. S2. Power-on and status confirmation: Turn on the air switch of the data acquisition module, close the cabinet door and release the emergency stop button to confirm that the device under test is powered on and that the PLC of the control processing module is in RUN mode and the 24V power supply is normal. S3. The data acquisition module begins testing the device under test. S4. Monitoring and Alarm Judgment: The touch screen displays the real-time electrical parameters of the device under test. If all parameters are within acceptable limits, the alarm interface is empty. If there are any non-compliant items, the touch screen displays an alarm scroll bar and records the data on the alarm interface. The scroll bar disappears after the data is compliant, and the record is retained. S5, Final Stage: After the data acquisition module has completed the test, press the emergency stop button, pull the circuit breaker, disconnect the connection cable, disconnect the instrument power, take the current clamp, and finally move the device under test vertically to a safe location for storage. The operation is now complete.

8. The method of using the edge computing-based real-time acquisition, detection, and linkage early warning system for electrical parameters according to claim 7, characterized in that, In step S3, the process of the data acquisition module starting to detect the device under test includes: S31. The data acquisition module records the current changes in real time under different operating conditions such as no-load, full-load, start-up, and speed change of the device under test, and plots the complete characteristic current value curve of the device under test. S32. Combine the rated current parameters of the equipment under test, perform edge calculation analysis on the characteristic curve, extract the current extreme points and stable operating range boundary values ​​in the curve, and calculate the maximum and minimum current values ​​of the equipment under test under different operating conditions. S33. After extensive verification under actual working conditions, the edge current values ​​adapted to various types of equipment under test will be determined and set as the upper limit threshold for preventing overload and short circuit and the lower limit threshold for preventing underload and idling, respectively. S34. The current data of the device under test is collected in real time and compared with the pre-stored characteristic curve and threshold of the device under test through edge computing. S35. If the comparison results show that the current data collected by the device under test exceeds the upper limit of the threshold or falls below the lower limit, an alarm will be triggered immediately, which will be displayed on the touch screen, accompanied by an audible and visual alarm, and a remote push notification for the warning information.

9. The method of using the edge computing-based real-time acquisition, detection, and linkage early warning system for electrical parameters according to claim 7, characterized in that, The characteristic current value curve of the device under test has the horizontal axis representing the running time and load rate, and the vertical axis representing the current value. The characteristic current value curve includes characteristic segments such as the starting peak value, the stable operating value, and the load fluctuation range.

10. The method of using the edge computing-based real-time acquisition, detection, and linkage early warning system for electrical parameters according to claim 7, characterized in that, The edge computing threshold model and formula are based on characteristic curves, and key threshold parameters are extracted through edge computing, including: Maximum current value I max Calculate and eliminate the instantaneous startup peak value, and take the overload critical value as the basis: Imax=k1×Iload; Where: k1 is the overload safety factor, which is set to 1.1 after 100 actual verifications; Minimum current value I min The calculation is based on the lower limit of the no-load current, taking into account the risk of underload: Imin = k2 × I0; Where: k2 is the underload safety factor, which is 0.8 after actual verification.

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