A real-time current detection early warning electric cutter system for insulating pole operation

Abstract

This invention discloses a real-time current detection and early warning electric cutter system for insulated pole operations, belonging to the field of power system safety operation technology. The system includes an electric cutting module, a real-time current detection module, an intelligent control module, and a remote monitoring platform. The real-time current detection module is integrated into the cutting end to collect the conductor load current in real time. The intelligent control module makes judgments based on a dynamic safety current threshold algorithm. When a continuous overload is detected, it sequentially activates audible and visual warnings and automatic shutdown protection. The system has adaptive optimization, fault self-diagnosis and recovery, and remote monitoring functions. This invention solves the safety hazards of traditional live-line cutting operations lacking real-time current linkage protection and relying on manual judgment, realizing an intelligent closed loop of detection, early warning, and control, significantly improving the safety, reliability, and efficiency of insulated pole operations.

Description

Technical Field

[0001] This invention relates to the field of power system safety operation technology, and in particular to a real-time current detection and early warning electric cutter system for insulated pole operations. Background Technology

[0002] With the rapid development of power systems and the continuous expansion of power grids, live-line working has become an important means of power equipment maintenance, line upkeep, and troubleshooting. Compared with traditional power outage work, live-line working can significantly reduce power outage time and improve power supply reliability, resulting in significant economic and social benefits. However, live-line working is always accompanied by high safety risks, especially when performing operations such as disconnecting current or cutting conductors. If the current load status of the line is not monitored in real time, serious accidents such as equipment damage, arc discharge, or even electric shock can easily occur due to current overload or improper operation.

[0003] Currently, electric cutters used in the power industry primarily focus on mechanical cutting functions, lacking real-time monitoring and intelligent response mechanisms for current status. When performing live cutting, operators typically rely on external current detection devices (such as clamp meters) for intermittent measurements, failing to achieve continuous current monitoring during the cutting process. This method suffers from significant lag and human error, making it difficult to provide timely warnings and take protective measures in the event of sudden current changes, thus posing a safety hazard to operations.

[0004] Furthermore, existing electric cutters lack integrated current detection systems in their design and control, preventing them from automatically shutting down operations in overcurrent situations. This necessitates reliance on operator experience and reaction time. In complex or emergency conditions, delays in human judgment and operation can directly lead to accidents.

[0005] Therefore, how to organically integrate real-time current detection, intelligent early warning, and electric cutting operation to design an intelligent cutting system capable of automatically identifying current anomalies and taking real-time protective measures during live-line work has become a pressing technical problem in the field of power safety operations. Against this backdrop, this invention proposes a real-time detection and early warning cutting system for insulated pole operations that integrates current monitoring, intelligent alarm, and automatic control functions. The aim is to improve the safety, reliability, and efficiency of live-line work, and to promote the development of intelligent and automated power operations. Summary of the Invention

[0006] To address this, this invention provides a real-time current detection and early warning electric cutter system for insulated pole operations. This system solves the problem in the prior art where electric cutters lack a real-time current monitoring and intelligent response mechanism linked to the cutting action, making it impossible to automatically warn and stop operations when the current is overloaded. This results in safety hazards and operational delays caused by relying on the operator's experience.

[0007] To address the aforementioned technical problems, embodiments of the present invention provide a real-time current detection and early warning electric cutter system for insulating rod operations, the system comprising: An electric cutting module is used to perform cutting operations on live wires; A real-time current detection module is integrated near the operating end of the electric cutting module to continuously and in real-time collect the load current signal flowing through the target conductor during the cutting process. The intelligent control module is electrically connected to the electric cutting module and the real-time current detection module, respectively, and is used to receive the load current signal and compare it with a preset dynamic safety current threshold. The intelligent control module has a built-in early warning judgment algorithm. When the load current signal exceeds the dynamic safety current threshold, the early warning judgment algorithm is triggered to generate and execute an early warning control command. The command includes at least: generating and sending an early warning signal to the operator, and controlling the electric cutting module to enter a protection state.

[0008] Preferably, the early warning judgment algorithm in the intelligent control module performs the following steps: S1: Continuously acquire the real-time current value transmitted by the real-time current detection module at a sampling period T. ; S2: Calculate or call the dynamic safety current threshold based on the rated operating parameters of the electric cutting module and the current operating environment parameters. ,in ,in The rated safe current of the system, For safety reasons, , This is a correction function set based on the current ambient temperature and humidity parameters. ; S3: Judgment condition: If continuous Within each sampling period, it satisfies If the condition is deemed as a continuous overload, a warning control command will be triggered; among which... An integer set based on the system response time.

[0009] Preferably, the system further includes an adaptive optimization unit, which is used to optimize the dynamic safety current threshold based on historical operation data. and the parameters of the aforementioned early warning judgment algorithm; Specifically, it includes: The data storage subunit is used to store historical current waveform data, early warning trigger records, and corresponding environmental parameters; The analysis learning subunit is configured to analyze patterns of false positives and false negatives in historical data and uses a regression algorithm to adjust the correction function. The coefficients are iteratively updated, or the safety factor is adjusted. and sample number This is to reduce the false alarm rate while ensuring safety.

[0010] Preferably, the system further includes a remote monitoring platform, which establishes a data connection with the intelligent control module through a wireless communication module; The remote monitoring platform is used for: The current value is displayed in real time. The dynamic safety current threshold and system status; Receive and record the trigger log of the warning control command; A human-machine interface is provided, allowing remote operators to manually adjust the dynamic safety current threshold or send remote emergency stop commands to the intelligent control module.

[0011] Preferably, the protection status includes a first-level early warning status and a second-level protection status; When the warning control command is triggered, the system first enters the first-level warning state, and the intelligent control module controls the sound and light alarm to issue an alarm and highlights it on the remote monitoring platform interface; If the first-level warning status continues for a set time Then, the real-time current value It has not yet fallen back to the aforementioned dynamic safety current threshold. In the following scenario, the system automatically enters the second-level protection state, and the intelligent control module sends a stop lock signal to the drive circuit of the electric cutting module to forcibly interrupt the cutting operation.

[0012] Preferably, the real-time current detection module is a clamp-on current transformer or a Rogowski coil, which is fitted onto the wire to be cut in a non-contact manner and is mechanically integrated with the blade mechanism of the electric cutting module to ensure that the detection point and the cutting point are electrically aligned.

[0013] Preferably, the electric cutting module includes an insulating rod, a cutting drive motor disposed at the distal end of the insulating rod, a blade driven by the motor, and a battery unit that supplies power to the motor; The intelligent control module and the wireless communication module are encapsulated within the proximal operating handle of the insulating rod; The signal line of the real-time current detection module is connected to the intelligent control module through a channel built into the insulating rod.

[0014] Preferably, the system further includes a fault self-diagnosis and recovery unit; The fault self-diagnosis and recovery unit periodically executes a self-test process, including: Send a test signal to the real-time current detection module to verify whether its signal path is normal; Monitor the current and voltage of the drive motor of the electric cutting module to determine whether it is in a short circuit, open circuit or overload fault. When a fault is detected, the system automatically attempts to initialize the faulty module or switch to a backup redundant circuit, and uploads the fault code and recovery attempt record to the remote monitoring platform.

[0015] Preferably, when the fault self-diagnosis and recovery unit determines an overload fault in the drive motor, it executes the following algorithm: Obtain motor operating current With rated current ; Calculate the overload factor ; like If the load exceeds the first threshold but is below the second threshold, it is determined to be a slight overload. The control strategy is to reduce the motor drive duty cycle and attempt to restart. like If the second threshold is exceeded, it is judged as a serious overload or mechanical jamming. The control strategy is to immediately cut off the motor power and report a fault code that requires manual intervention.

[0016] Preferably, the intelligent control module is also used to automatically generate a work report after a single work is completed; The operation report shall include at least the peak current, average current, number of warning triggers, and total cutting time of this operation, and shall assess the safety level of this operation based on historical data. The report shall be automatically uploaded to the remote monitoring platform or the designated data server via a wireless communication module.

[0017] As can be seen from the above technical solutions, this invention application has the following beneficial effects: (1) This invention creates an automated safety closed loop of "real-time monitoring - intelligent judgment - active intervention" by deeply integrating the real-time current detection module and the electric cutting module in terms of structure and electrical control. The system adopts a dynamic threshold algorithm and continuous judgment logic, which can automatically warn and force shutdown when necessary during a very short period of time when the current is abnormal (e.g., 500ms). This completely changes the passive mode of traditional operation that relies entirely on the operator's personal experience and reaction speed, and effectively prevents equipment damage and electric shock accidents caused by current overload, human error, or delayed reaction.

[0018] (2) The system not only has basic overload protection functions, but also integrates an adaptive optimization unit and a fault self-diagnosis and recovery mechanism. By learning from historical operation data, the system can automatically optimize alarm thresholds and sensitivity, reduce false alarms and missed alarms, and make the equipment more and more "intelligent" over time. At the same time, its fault self-diagnosis function can automatically attempt to repair or switch to backup channels when the equipment is abnormal, which greatly improves the reliability and availability of the system itself and reduces unplanned downtime and maintenance costs.

[0019] (3) This invention transforms isolated on-site operations into a digital management process that can be monitored in real time, intervened remotely, and traced back data through a remote monitoring platform. The automatically generated operation reports and safety assessments provide managers with quantitative decision-making basis. The remote monitoring and intervention capabilities enable expert resources to remotely support multiple sites, improve emergency response speed and resource sharing efficiency, and promote the transformation and upgrading of live-line power operations to a digital and intelligent operation and maintenance model. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly described below. Referring to the drawings will make the features and advantages of the present invention clearer. The drawings are illustrative and should not be construed as limiting the present invention in any way. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a block diagram of an electric cutter system for real-time current detection and early warning in insulating rod operations, provided by the present invention.

[0021] The diagrams in the instruction manual are labeled as follows: 10, Electric cutting module; 20, Real-time current detection module; 30, Intelligent control module; 40, Remote monitoring platform. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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 some embodiments of the present invention, not all embodiments. 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] To address the shortcomings of existing electric cutter technologies, such as the lack of real-time current monitoring and intelligent response mechanisms linked to the cutting action, which prevent automatic warnings and shutdowns in case of current overload, thus relying on operator experience and resulting in safety hazards and operational delays, this invention proposes a real-time current detection and early warning electric cutter system for insulated pole operations. This system includes: The electric cutting module 10 is used to perform cutting operations on live wires; The real-time current detection module 20 is integrated near the operation end of the electric cutting module 10 and is used to continuously and in real time collect the load current signal flowing through the target conductor during the cutting process. The intelligent control module 30 is electrically connected to the electric cutting module 10 and the real-time current detection module 20, respectively, and is used to receive the load current signal and compare it with a preset dynamic safety current threshold. The intelligent control module 30 has a built-in early warning judgment algorithm. When the load current signal exceeds the dynamic safety current threshold, the early warning judgment algorithm is triggered to generate and execute an early warning control command. The command includes at least generating and sending an early warning signal to the operator, and controlling the electric cutting module 10 to enter a protection state.

[0024] As can be seen from the above technical solution, this invention proposes a real-time current detection and early warning electric cutting system for insulated rod operations. This system consists of an electric cutting module that performs the cutting operation of a live conductor; a real-time current detection module integrated into its operating end that continuously and in real-time collects the conductor load current signal; and an intelligent control module that receives the current signal and compares it with a preset dynamic safety current threshold. Its built-in early warning judgment algorithm triggers when the current exceeds the limit, generating and executing early warning control commands, including issuing an early warning signal and controlling the cutting module to enter a protection state. The corresponding effects of each module are as follows: the electric cutting module directly replaces traditional manual or purely electric tools, realizing the mechanization and controllability of the cutting operation; the real-time current detection module, through in-situ integrated measurement at the cutting point, solves the lag problem of traditional external, offline detection, ensuring the authenticity and real-time nature of the current information; the intelligent control module and its algorithm constitute the system's "intelligent brain," transforming real-time data into safety decisions, realizing a fundamental shift from "human experience judgment" to "automatic early warning protection," forming an intelligent closed loop to ensure operational safety. The collaborative work of each module achieves a substantial improvement in the safety of live-line cutting operations.

[0025] This invention provides a real-time current detection and early warning electric cutting system for insulated pole operations. It aims to solve the significant safety hazards and operational delays caused by the lack of a real-time current monitoring and intelligent response mechanism linked to the cutting action in existing electric cutting tools during live-line operations, which forces them to rely entirely on operator experience and judgment. The technical solution of this invention will be described in detail below with reference to the accompanying drawings and several specific embodiments.

[0026] Example 1: Overall System Structure and Core Workflow refer to Figure 1This embodiment reveals the basic structure and core workflow of the system. The system mainly includes four functional modules: an electric cutting module 10, a real-time current detection module 20, an intelligent control module 30, and an optional remote monitoring platform 40.

[0027] 1. Module specific composition: The electric cutting module 10 includes an insulating rod, a cutting drive motor located at the distal end of the insulating rod, a high-strength alloy blade driven by the motor, and a battery unit (typically located in the handle near the proximal end of the insulating rod) that powers the entire system. The insulating rod and all exposed parts are made of high-performance insulating materials that meet the operating requirements for voltage levels of 10kV and above.

[0028] Real-time current detection module 20: In this embodiment, a clamp-on current transformer is preferably used. Its key innovation lies in the fact that the transformer and the blade are mechanically integrated into one unit, directly fitted onto the outside of the wire to be cut, close to the cutting point. This design ensures the accuracy of the detected current signal (…). It can accurately and in real time reflect the load current flowing through the conductor that is about to be cut, eliminating measurement position errors. The signal is transmitted through a shielded cable built into the insulating rod.

[0029] Intelligent control module 30: Encapsulated inside the anti-slip handle near the end of the insulating rod, its core is an embedded microprocessor. It is responsible for receiving signals from the current detection module 20, running the built-in intelligent algorithm, and controlling the electric cutting module 10 and the early warning device (such as the audible and visual alarm on the handle).

[0030] Remote monitoring platform 40: Connects to smart control module 30 via a wireless communication module (such as a 4G / 5G DTU or LoRa module) integrated into the handle. Remote monitoring platform 40 can run on a PC or mobile terminal and provides a graphical interface.

[0031] 2. Core Early Warning Judgment Algorithm Flow: The intelligent control module 30 continuously executes the following algorithm loop (sampling period) (Can be set to 100ms) 1. Data Acquisition: Read the current time. Real-time current value .

[0032] 2. Dynamic Threshold Calculation: Calculate the dynamic safe current threshold at the current moment. The calculation formula is: , in: The preset rated safe current for the system (based on equipment specifications and operating procedures).

[0033] For safety factors, a value of 0.8 to 1.0 is typically used, and can be configured according to the level of operational risk.

[0034] This is a correction function set based on the current ambient temperature and humidity parameters. .For example: ,in The ambient temperature is (°C). The ambient humidity (%) and It is a small correction factor (e.g., 0.001). This function allows the threshold to be finely adjusted with changes in temperature and humidity to adapt to different operating conditions.

[0035] 3. Overload detection: Comparison and To avoid accidental triggering due to momentary interference, the algorithm employs continuous judgment logic: if continuous... Each sampling period (e.g.) (i.e., lasting for 500ms) all satisfy If so, it is determined to be a continuous overload.

[0036] 4. Command Execution: Once an overload is detected, a warning control command is immediately triggered. Command execution is divided into two levels: Level 1 (Warning): Immediately activate the audible and visual alarm, emitting a rapid audible and visual signal; simultaneously, send a warning message to the remote monitoring platform 40 via the wireless communication module, and the platform interface will display a pop-up window and flashing highlights. The system enters the warning state but does not immediately shut down, giving operators a brief (e.g., A reaction time of (seconds) is provided to cope with possible instantaneous fluctuations.

[0037] Level 2 (Protection): If the Level 1 warning status continues... After a period of time, If the temperature does not fall below the safety threshold, the intelligent control module 30 determines that the danger continues and immediately sends a "stop lock" signal to the drive circuit of the cutting drive motor to forcibly cut off the motor power and lock the operation, entering the protection state.

[0038] Example 2: Implementation of Adaptive Optimization and Remote Monitoring Functions This embodiment, based on Embodiment 1, further describes the system's self-learning and remote interaction capabilities.

[0039] 1. Adaptive optimization unit: The intelligent control module 30 has a data storage area for cyclically storing historical operation data, including timestamps, , Environmental data Warning trigger indicators, etc. The system runs the "Analysis and Learning Subroutine" during idle periods or periodically: Objective: Optimize the formula The parameters are adjusted to reduce false alarms (alarms sound when the current is not actually dangerous) and missed alarms (alarms do not sound when the current is dangerous).

[0040] Method: Simple regression analysis was used. For example, analyzing a large amount of historical data under specific temperature and humidity conditions... Maximum current value that did not trigger a warning Use these data points to fit a new... Functions used to update existing ones At the same time, the safety factor is adjusted appropriately based on the statistics of false alarms. Or continuously judge the number of cycles .

[0041] Effect: Enables the system to adapt to the load characteristics of a specific power grid and local climate, becoming increasingly "intelligent" with use.

[0042] 2. Detailed description of the functions of the remote monitoring platform: The remote monitoring platform 40 receives and processes data streams from field devices, providing the following functions: Real-time dashboard: Displays the real-time status of all currently connected cutting devices. Calculated Battery level, signal strength, and operating status (normal / warning / protection / fault).

[0043] Alarm Management: Receives early warnings and fault information, and notifies designated monitoring personnel via various methods such as sound, SMS, and app push notifications. Alarm information includes the device ID, time, location, and current exceeding the limit.

[0044] Remote intervention: In an emergency, monitoring personnel can click on the corresponding device on the platform map and manually send an "emergency stop" command. This command takes precedence over local logic and directly puts the device into a protection state.

[0045] Historical Playback and Reports: Users can query historical operation data curves for any device and automatically generate operation reports. Reports include: operation time, peak current, average current, number of warnings, total cutting time, and automatically provide a safety assessment level of "Excellent, Good, Average, or Poor" based on built-in rules (such as "warning count / duration percentage"). Export and printing are supported.

[0046] Example 3: Implementation of Fault Self-Diagnosis and Recovery Mechanism This embodiment details how the system ensures its own reliability.

[0047] The intelligent control module 30 operates an independent "fault self-diagnosis and recovery unit," which periodically performs a self-test process: Sensor path self-test: At regular intervals, a test pulse signal of known amplitude is sent to the current detection module 20 to verify whether the signal reception is normal and whether the amplitude is accurate. If an abnormality is found, the fault code "E01" is recorded, and the module is reinitialized.

[0048] Drive system health monitoring: Real-time monitoring of the operating current of the cutting drive motor. and voltage.

[0049] Overload / freeze diagnosis algorithm: Calculate the overload factor ( (This refers to the motor's rated current).

[0050] Scenario A: If The problem is identified as a slight overload (possibly due to contact with a hard object). Control strategy: Immediately reduce the motor drive PWM duty cycle to 50%, and attempt a gentle reverse and then forward rotation once to extricate the motor from the predicament. If successful, log the event; if unsuccessful, proceed to scenario B.

[0051] Scenario B: If If the motor stalls (extremely high current, zero speed), it is determined to be a severe overload or mechanical jamming. Control strategy: Immediately and completely disconnect the motor power supply to prevent burnout. Simultaneously trigger the highest level fault alarm and report code "E02 (mechanical fault, manual intervention required)".

[0052] 1. Communication link check: Monitor and remotely monitor the wireless connection heartbeat packets of the platform 40. If the connection is lost for a long time, the data is stored locally and retransmitted after the connection is restored.

[0053] 2. Redundancy Switching: For critical circuits (such as some signal processing circuits), a backup channel is designed. When the main channel fails to self-test, it can automatically switch to the backup channel to ensure that the core monitoring function is not interrupted and report the "switching event" log.

[0054] Example 4: The system's operation in a typical work scenario Based on the above embodiments, the process of a complete live lead disconnection operation is described: 1. Operation Preparation: The operator holds an insulated rod and brings the cutting edge of the integrated clamp-on current transformer close to the drain wire to be cut. The remote monitoring center confirms on the remote monitoring platform 40 that the equipment is in normal condition and online (green).

[0055] 2. Start Cutting: The operator presses the start button on the handle. The intelligent control module 30 is powered on, and the current detection module 20 starts working, collecting current data in real time. .

[0056] 3. Real-time monitoring and early warning: During the cutting process, if the line load suddenly increases, Continue to exceed The response time is over 500ms. The intelligent control module 30 triggers the first-level warning: the on-site audible and visual alarm sounds and flashes, and at the same time, the remote monitoring platform 40 in the monitoring center pops up an alarm and issues a prompt sound.

[0057] 4. Manual judgment or automatic protection: Upon hearing the alarm, the operator should immediately stop pressing the start button. If the operator does not respond in time, the system will automatically enter the second level of protection after 3 seconds, forcing a shutdown. Monitoring center personnel can also remotely stop the system via the remote monitoring platform.

[0058] 5. Post-operation analysis: After the operation is completed, the system automatically generates an operation report. The report shows that an early warning was triggered due to current exceeding the limit, and the safety assessment is "good". Maintenance personnel can retrieve historical curves to analyze the causes of current surges, which can be used to optimize future operation plans or power grid operation modes.

[0059] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0060] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0061] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0062] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A real-time current detection and early warning electric cutter system for insulated pole operations, characterized in that, include: An electric cutting module is used to perform cutting operations on live wires; A real-time current detection module is integrated near the operating end of the electric cutting module to continuously and in real-time collect the load current signal flowing through the target conductor during the cutting process. The intelligent control module is electrically connected to the electric cutting module and the real-time current detection module, respectively, and is used to receive the load current signal and compare it with a preset dynamic safety current threshold. The intelligent control module has a built-in early warning judgment algorithm. When the load current signal exceeds the dynamic safety current threshold, the early warning judgment algorithm is triggered to generate and execute an early warning control command. The command includes at least: generating and sending an early warning signal to the operator, and controlling the electric cutting module to enter a protection state.

2. The real-time current detection and early warning electric cutter system for insulating pole operations according to claim 1, characterized in that, The early warning judgment algorithm in the intelligent control module performs the following steps: S1: Continuously acquire the real-time current value transmitted by the real-time current detection module at a sampling period T. ; S2: Calculate or call the dynamic safety current threshold based on the rated operating parameters of the electric cutting module and the current operating environment parameters. ,in ,in The rated safe current of the system, For safety reasons, , This is a correction function set based on the current ambient temperature and humidity parameters. ; S3: Judgment condition: If continuous Within each sampling period, it satisfies If so, it is determined to be a continuous overload, triggering a warning control command; in An integer set based on the system response time.

3. The real-time current detection and early warning electric cutter system for insulating pole operations according to claim 2, characterized in that, The system also includes an adaptive optimization unit, which is used to optimize the dynamic safety current threshold based on historical operation data. and the parameters of the aforementioned early warning judgment algorithm; Specifically, it includes: The data storage subunit is used to store historical current waveform data, early warning trigger records, and corresponding environmental parameters; The analysis learning subunit is configured to analyze patterns of false positives and false negatives in historical data and uses a regression algorithm to adjust the correction function. The coefficients are iteratively updated, or the safety factor is adjusted. and sample number This is to reduce the false alarm rate while ensuring safety.

4. The real-time current detection and early warning electric cutter system for insulating pole operations according to claim 3, characterized in that, The system also includes a remote monitoring platform, which establishes a data connection with the intelligent control module through a wireless communication module; The remote monitoring platform is used for: The current value is displayed in real time. The dynamic safety current threshold and system status; Receive and record the trigger log of the warning control command; A human-machine interface is provided, allowing remote operators to manually adjust the dynamic safety current threshold or send remote emergency stop commands to the intelligent control module.

5. The real-time current detection and early warning electric cutter system for insulating pole operations according to claim 4, characterized in that, The protection status includes a first-level early warning status and a second-level protection status; When the warning control command is triggered, the system first enters the first-level warning state, and the intelligent control module controls the sound and light alarm to issue an alarm and highlights it on the remote monitoring platform interface; If the first-level warning status continues for a set time Then, the real-time current value It has not yet fallen back to the aforementioned dynamic safety current threshold. In the following scenario, the system automatically enters the second-level protection state, and the intelligent control module sends a stop lock signal to the drive circuit of the electric cutting module to forcibly interrupt the cutting operation.

6. The real-time current detection and early warning electric cutter system for insulating pole operations according to claim 1, characterized in that, The real-time current detection module is a clamp-on current transformer or a Rogowski coil, which is fitted onto the wire to be cut in a non-contact manner and is mechanically integrated with the blade mechanism of the electric cutting module to ensure that the detection point and the cutting point are electrically aligned.

7. The real-time current detection and early warning electric cutter system for insulating pole operations according to claim 1, characterized in that, The electric cutting module includes an insulating rod, a cutting drive motor disposed at the distal end of the insulating rod, a blade driven by the motor, and a battery unit that powers the motor. The intelligent control module and the wireless communication module are encapsulated within the proximal operating handle of the insulating rod; The signal line of the real-time current detection module is connected to the intelligent control module through a channel built into the insulating rod.

8. The real-time current detection and early warning electric cutter system for insulating pole operations according to claim 1, characterized in that, The system also includes a fault self-diagnosis and recovery unit; The fault self-diagnosis and recovery unit periodically executes a self-test process, including: Send a test signal to the real-time current detection module to verify whether its signal path is normal; Monitor the current and voltage of the drive motor of the electric cutting module to determine whether it is in a short circuit, open circuit or overload fault. When a fault is detected, the system automatically attempts to initialize the faulty module or switch to a backup redundant circuit, and uploads the fault code and recovery attempt record to the remote monitoring platform.

9. The real-time current detection and early warning electric cutter system for insulating pole operations according to claim 8, characterized in that, When the fault self-diagnosis and recovery unit determines an overload fault in the drive motor, it executes the following algorithm: Obtain motor operating current With rated current ; Calculate the overload factor ; like If the load exceeds the first threshold but is below the second threshold, it is determined to be a slight overload. The control strategy is to reduce the motor drive duty cycle and attempt to restart. like If the second threshold is exceeded, it is judged as a serious overload or mechanical jamming. The control strategy is to immediately cut off the motor power supply and report a fault code of "manual intervention required".

10. The real-time current detection and early warning electric cutter system for insulating pole operations according to any one of claims 1 to 9, characterized in that, The intelligent control module is also used to automatically generate a work report after a single operation is completed; The operation report shall include at least the peak current, average current, number of warning triggers, and total cutting time of this operation, and shall assess the safety level of this operation based on historical data. The report shall be automatically uploaded to the remote monitoring platform or the designated data server via a wireless communication module.

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