Ground line operation insulating rod state sensing method, device, equipment and medium

Abstract

The application provides a ground wire operation insulating rod state sensing method, device, equipment and medium, and relates to the technical field of electric power. In the scheme, a plurality of parameters of the ground wire operation insulating rod are collected in real time, the plurality of parameters are input into a preset ground wire operation insulating rod service life prediction model, the remaining service life of the ground wire operation insulating rod is obtained, and the remaining service life is transmitted to a remote terminal. The preset ground wire operation insulating rod service life prediction model is a model for predicting the service life of the ground wire operation insulating rod, which is obtained by training based on an LSTM model, an ARIMA model and a CNN model. Through the above method, effective prediction of the service life of the ground wire operation insulating rod is realized, and real-time monitoring and preventive maintenance of the equipment state are further realized.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a method, device, equipment and medium for sensing the state of a grounding wire operating insulating rod. Background Technology

[0002] With the increasing complexity of power systems and the widespread application of high-voltage equipment, grounding wire operation is widely used in all aspects of power distribution networks.

[0003] Traditional manual grounding wire operation is repetitive and cumbersome, with varying levels of operator skill, leading to frequent instances of missed installations or removals. The process of tightening the grounding wire using the operating lever is particularly strenuous, often resulting in incomplete tightening. Current technology simplifies the process by incorporating a rotating linkage within the operating lever, which connects to a drive device, thus enabling automatic tightening of the grounding wire. However, since the grounding wire operating insulation rod is only inspected once a year, undetected damage can easily lead to workplace safety accidents.

[0004] However, the existing technology lacks a technical solution that can effectively predict the service life of the grounding wire operating insulating rod, thereby enabling real-time monitoring and preventive maintenance of equipment status. Summary of the Invention

[0005] This application provides a method, device, equipment, and medium for sensing the status of a grounding wire operating insulating rod, which is a technical solution for effectively predicting the service life of the grounding wire operating insulating rod, thereby realizing real-time monitoring and preventive maintenance of the equipment status.

[0006] In a first aspect, embodiments of this application provide a method for sensing the state of a grounding wire operating insulating rod, including:

[0007] Real-time acquisition of multiple parameters of the grounding wire operating insulating rod;

[0008] The multiple parameters are input into a preset grounding wire operating insulating rod life prediction model to obtain the remaining service life of the grounding wire operating insulating rod. The grounding wire operating insulating rod life prediction model is a model for predicting the service life of the grounding wire operating insulating rod, which is trained based on LSTM model, ARIMA model and CNN model.

[0009] The remaining useful life is transmitted to a remote terminal.

[0010] In one possible implementation, before inputting the plurality of parameters into a preset grounding wire operation insulation rod life prediction model, the method further includes:

[0011] Based on the aforementioned parameters, determine whether the remaining service life of the grounding wire operating insulating rod is 0;

[0012] Accordingly, inputting the multiple parameters into the preset grounding wire operation insulation rod life prediction model includes:

[0013] When the remaining service life of the grounding wire operating insulating rod is not zero, the multiple parameters are input into a preset grounding wire operating insulating rod life prediction model.

[0014] In one possible implementation, the method further includes:

[0015] The stepper motor is controlled to operate the insulating rod via the grounding wire to perform the grounding wire tightening operation;

[0016] The stepper motor returns an indication message, which is used to indicate whether the grounding wire operation insulating rod has been turned to the grounding wire in place;

[0017] If the indication information indicates that the grounding wire operating insulating rod is not properly tightened to the grounding wire position, repeat the aforementioned steps until the grounding wire operating insulating rod is properly tightened to the grounding wire position.

[0018] In one possible implementation, the method further includes:

[0019] If the grounding wire operation insulating rod has been screwed into place, a voice message indicating that it has been screwed into place will be pushed out.

[0020] If the grounding wire is not properly tightened by rotating the insulating rod, a voice message will be sent indicating that you should continue tightening.

[0021] In one possible implementation, before inputting the plurality of parameters into a preset grounding wire operating insulating rod life prediction model to obtain the remaining service life of the grounding wire operating insulating rod, the method further includes:

[0022] Obtain a historical data sample set of grounding wire operating insulating rods. The historical data sample set includes: electrical parameters, mechanical parameters, environmental parameters, historical maintenance data, and remaining service life under corresponding conditions for multiple grounding wire operating insulating rods.

[0023] The LSTM model is trained based on the historical data sample set to obtain the first prediction model; the ARIMA model is trained based on the historical data sample set to obtain the second prediction model; and the CNN model is trained based on the historical data sample set to obtain the third prediction model.

[0024] Based on the first prediction model, the second prediction model, and the third prediction model, the life prediction model of the grounding wire operation insulating rod is obtained by fusion.

[0025] In one possible implementation, before training the LSTM model, the ARIMA model, and the CNN model based on the historical data sample set, the method further includes:

[0026] The data in the historical data sample set is cleaned and feature transformed to obtain an intermediate historical data sample set;

[0027] The remaining useful life in the intermediate historical data sample set is labeled to obtain the processed historical data sample set.

[0028] In one possible implementation, determining whether the remaining service life of the grounding wire operating insulating rod is 0 based on the plurality of parameters includes:

[0029] If the insulation resistance value among the plurality of parameters is less than a first preset value, or the absorption ratio is less than a second preset value, or the polarization index is less than a third preset value, then the remaining service life of the grounding wire operating insulating rod is determined to be 0.

[0030] In one possible implementation, the first preset value is 1 megohm, the second preset value is 1.3, and the third preset value is 1.5.

[0031] Secondly, embodiments of this application provide a state sensing device for a grounding wire operating insulating rod, comprising:

[0032] The first processing module is used to collect multiple parameters of the grounding wire operating insulating rod in real time;

[0033] The second processing module is used to input the multiple parameters into a preset grounding wire operating insulating rod life prediction model to obtain the remaining service life of the grounding wire operating insulating rod. The grounding wire operating insulating rod life prediction model is a model for predicting the service life of the grounding wire operating insulating rod, which is trained based on LSTM model, ARIMA model and CNN model.

[0034] The third processing module is used to transmit the remaining service life to a remote terminal.

[0035] Thirdly, embodiments of this application provide a status sensing system for a grounding wire operating insulating rod, comprising: a stepper motor, a main control system, and a remote terminal, wherein the stepper motor is electrically connected to the main control system, and the main control system is communicatively connected to the remote terminal;

[0036] The stepper motor is used to perform the operation of tightening the grounding wire by operating the insulating rod through the grounding wire, and to determine whether the grounding wire is tightened in place by operating the insulating rod through the grounding wire.

[0037] The main control system is used to execute the first aspect and / or various possible implementations of the first aspect as described above.

[0038] In one possible implementation, the stepper motor includes a turning control unit, a limit sensing unit, a first storage unit, and a first interface unit;

[0039] The turning control unit is electrically connected to the limit sensing unit, the limit sensing unit is electrically connected to the first storage unit, and the first storage unit is electrically connected to the first interface unit.

[0040] In one possible implementation, the main control system includes a second interface unit, a second storage unit, a sound notification unit, a power supply unit, a communication unit, an instruction unit, a testing unit, and a computing unit.

[0041] The second storage unit is electrically connected to the second interface unit, the power supply unit, the communication unit, and the sound notification unit, respectively. The sound notification unit is electrically connected to the instruction unit, the arithmetic unit is electrically connected to the second storage unit, and the test unit is electrically connected to the arithmetic unit.

[0042] In one possible implementation, the main control system is powered by an external lithium-ion battery and a lithium-ion battery capacitor connected to the power supply unit.

[0043] In one possible implementation, the stepper motor is electrically connected to the second interface unit of the main control system via a first interface unit;

[0044] The main control system communicates with the remote terminal through the communication unit.

[0045] Fourthly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0046] The memory stores computer-executed instructions;

[0047] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0048] Fifthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0049] The method, apparatus, equipment, and medium for sensing the status of grounding wire operating insulating rods provided in this application involve real-time acquisition of multiple parameters of the grounding wire operating insulating rod, inputting these parameters into a preset grounding wire operating insulating rod life prediction model to obtain the remaining service life of the grounding wire operating insulating rod, and transmitting the remaining service life to a remote terminal. The preset grounding wire operating insulating rod life prediction model is a model for predicting the service life of the grounding wire operating insulating rod, trained using LSTM, ARIMA, and CNN models. Through this method, effective prediction of the service life of the grounding wire operating insulating rod is achieved, further enabling real-time monitoring and preventative maintenance of the equipment status. Attached Figure Description

[0050] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0051] Figure 1 A schematic diagram of a scenario for a state sensing method for a grounding wire operating insulating rod provided in this application;

[0052] Figure 2 A flowchart illustrating the state sensing method for a grounding wire operating insulating rod provided in this application. Figure 1 ;

[0053] Figure 3 A flowchart illustrating the state sensing method for a grounding wire operating insulating rod provided in this application. Figure 2 ;

[0054] Figure 4 A flowchart illustrating the state sensing method for a grounding wire operating insulating rod provided in this application. Figure 3 ;

[0055] Figure 5 A schematic diagram of the state sensing device for a grounding wire operating insulating rod provided in this application;

[0056] Figure 6 A schematic diagram of the state sensing system for a grounding wire operating insulating rod provided in this application;

[0057] Figure 7 This is a schematic diagram of the structure of an electronic device provided in this application.

[0058] Explanation of reference numerals in the attached figures:

[0059] 101: Grounding wire operating insulating rod; 102: Remote terminal; 103: Main control system; 104: Stepper motor; 1011: Wire clamp; 1012: Circular ring; 1013: Cross groove / cross protrusion; 1014: Insulating part; 1015: Handle; 1016: First connecting accessory; 1017: Second connecting accessory; 1018: Third connecting accessory; 1019: Fourth connecting accessory.

[0060] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0061] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0062] The application background of this application is explained as follows:

[0063] The "Ten Safety Procedures" refer to ten key steps in electrical safety operations, designed to ensure worker safety and prevent accidents. Among these, it is clearly stipulated that grounding is a necessary pre-operation measure for power outage maintenance of equipment or lines. Due to the complexity of power systems and the widespread use of high-voltage equipment, grounding is frequently used in various maintenance and repair work to provide reliable safety assurance.

[0064] The proper use of grounding wires is crucial to the safety of on-site workers and plays a vital role in safe production. However, due to the repetitive and complex operation of grounding wires, coupled with the varying skill levels of operators, omissions in grounding wire installation and removal are frequent. In particular, the process of tightening the grounding wire using the operating lever is very laborious and often results in incomplete tightening. Existing technology simplifies the operation by incorporating a rotating linkage within the operating lever, which connects to a drive device, thus enabling automatic tightening of the grounding wire. However, since the grounding wire operating insulation rod is only inspected once a year, undetected damage during this period can easily lead to workplace accidents.

[0065] However, the existing technology lacks a technical solution that can effectively predict the service life of the grounding wire operating insulating rod, thereby enabling real-time monitoring and preventive maintenance of equipment status.

[0066] Figure 1 A schematic diagram of a scenario for a state sensing method for a grounding wire operating insulating rod provided in this application is shown below. Figure 1 As shown, the specific application scenarios of this application include a grounding wire operating insulating rod 101 and a remote terminal 102. The grounding wire operating insulating rod 101 incorporates a stepper motor 104 and a main control system 103. The main control system 103 collects multiple parameters of the grounding wire operating insulating rod 101 in real time and inputs these parameters into a preset grounding wire operating insulating rod life prediction model to obtain the remaining service life of the grounding wire operating insulating rod 101.

[0067] The grounding wire operating insulating rod 101 includes a wire clamp (also called a grounding wire clamp) 1011, a circular ring 1012 at the rear end of the wire clamp 1011 connector, interlocking cross grooves / cross protrusions 1013, an insulating part 1014, a handle 1015, and connecting accessories (first connecting accessory 1016, second connecting accessory 1017, third connecting accessory 1018, and fourth connecting accessory 1019). The first connecting accessory 1016, second connecting accessory 1017, third connecting accessory 1018, and fourth connecting accessory 1019 are connecting structures between the various functional components inside the grounding wire operating insulating rod 101. Their main function is to fix and connect different modules, ensuring stable cooperation between components during the operation of the grounding wire operating insulating rod 101. They also assist in transmitting force or signals, making the mechanical movements of the grounding wire operating insulating rod 101 and the linkage between functional components smoother. These are auxiliary connecting parts that maintain the structural integrity and operational coordination of the grounding wire operating insulating rod 101.

[0068] The stepper motor 104 is positioned behind the handle 1015 at the end of the grounded operating insulating rod 101, close to the operator's hand. This proximity of the stepper motor 104 to the hand facilitates real-time sensing of the tightening force, conforms to human operating habits, and concentrates the weight at the hand end, balancing it with the original handle weight and preventing excessive weight at the front of the rod. Furthermore, the stepper motor 104's placement behind the handle at the end of the grounded operating insulating rod 101, away from the conductive end, does not affect the length of the insulating section of the rod.

[0069] The main control system 103 controls the stepper motor 104 to perform the grounding wire tightening operation through the grounding wire operation insulating rod 101, and receives the indication information returned by the stepper motor 104 indicating whether the grounding wire tightening of the grounding wire operation insulating rod 101 is in place, and transmits the relevant information of the grounding wire operation insulating rod 101 to the remote terminal 102, including: the position of the grounding wire operation insulating rod 101, that is, the spatial position information of the grounding wire operation insulating rod 101 when in use, indication information, and remaining service life, etc.

[0070] Furthermore, the grounding wire operating insulating rod 101 and the wire clamp 1011 are connected to each component module of the grounding wire operating insulating rod 101 via internal leads (power lines or signal lines, etc.) through the hollow channel inside the grounding wire operating insulating rod 101. The wire clamp 1011 is mainly used to realize the electrical connection between the grounding wire and the power equipment (busbars, conductors, transformers, etc.) and is a component of the grounding wire operating insulating rod 101. Since the stepper motor 104 and the main control system 103 are built into the insulating part 1014 of the grounding wire operating insulating rod 101, its appearance is not significantly different from that of a traditional grounding wire operating insulating rod. That is, the grounding wire operating insulating rod 101 is based on a traditional grounding wire operating insulating rod, and the design and installation of the stepper motor and the main control system are carried out without changing the original performance.

[0071] In one specific implementation of this solution, the grounding wire operating insulating rod 101 is made of epoxy resin insulating tube, and the surface is coated with water-repellent insulating polyurethane paint to ensure waterproof, moisture-proof and voltage-resistant properties. The internal drive shaft is electrically driven, which can easily and quickly fix and disconnect the grounding wire clamp.

[0072] When the main control system 103 controls the stepper motor 104 to perform a grounding wire tightening operation via the grounding wire operating insulating rod 101, the tightening control unit in the main control system 103 is adaptable to the operation of various grounding wires. Specifically, the stepper motor 104 hooks onto the circular ring 1012 at the rear end of the wire clamp 1011 connector, and then pulls the grounding wire operating insulating rod 101 to lock the stepper motor 104 into the circular ring 1012. Next, the cross groove 1013 at the front end of the stepper motor 104 engages with the cross protrusion 1013 at the rear end of the wire clamp 1011. Finally, the main control system 103 can rotate the grounding wire operating insulating rod 101 normally left and right to disassemble the wire clamp 1011.

[0073] The remote terminal can be an electronic device with data processing capabilities, such as a server, cloud server, personal computer, or smartphone. This solution does not restrict the specific form of the device.

[0074] The physical devices mentioned above are illustrative and not unique. This application does not impose any specific limitations on the specific form and type of the physical devices involved.

[0075] As can be seen from the above scenarios, the existing technology lacks a technical solution that can effectively predict the service life of grounding wire operating insulated rods. This leads to the failure to detect damage to the grounding wire operating insulated rods in a timely manner, which can easily cause operational safety accidents. In the process of researching the prediction of the service life of grounding wire operating insulated rods, the inventors discovered that by training an LSTM-ARIMA-CNN model based on Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA) model, and Convolutional Neural Networks (CNN), the resulting LSTM-ARIMA-CNN model can effectively predict the service life of grounding wire operating insulated rods. Simultaneously, it can sense in real time whether the grounding wire is properly tightened, thereby achieving real-time monitoring of the equipment status and preventative maintenance. Based on this, this application provides a method, device, equipment, and medium for sensing the status of grounding wire operating insulated rods.

[0076] The technical solution of this application and how it solves the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0077] Figure 2 A flowchart illustrating the state sensing method for a grounding wire operating insulating rod provided in this application. Figure 1 ,like Figure 2 As shown, the method includes:

[0078] S201: Real-time acquisition of multiple parameters of the grounding wire operating insulating rod.

[0079] In this step, real-time acquisition of multiple parameters of the grounding wire operating insulating rod is one of the fundamental steps for effectively predicting the service life of the grounding wire operating insulating rod. These parameters include: insulation resistance, absorption ratio, polarization index, temperature, and cumulative usage time. Insulation resistance is an important indicator of the grounding wire operating insulating rod's ability to resist current leakage under an electric field. A higher value indicates better insulation performance. The unit is Ω; in insulation testing, since insulation resistance is usually very high, the commonly used unit is megaohm (MΩ), or one million ohms. The absorption ratio refers to the characteristic of current change over time after an applied voltage. It is commonly used to assess the hygroscopicity and aging degree of insulation materials. A higher value indicates lower hygroscopicity, better insulation performance, and less aging. The polarization index assesses the performance of insulation materials by measuring the ratio of insulation resistance at different time intervals (usually 1 minute and 10 minutes). A higher value indicates better quality insulation material, lower hygroscopicity, and less aging. The performance of insulation materials changes with temperature; increased temperature leads to a decrease in insulation resistance, thus affecting insulation performance. Cumulative service time refers to the total working time of the insulating rod since it was put into use. As the service time increases, the insulation material may gradually age, leading to a decline in performance.

[0080] By collecting the above parameters in real time, the remaining service life and reliability of the grounding wire operating insulating rod can be predicted more accurately.

[0081] S202: Input multiple parameters into the preset grounding wire operating insulation rod life prediction model to obtain the remaining service life of the grounding wire operating insulation rod. The grounding wire operating insulation rod life prediction model is a model for predicting the service life of the grounding wire operating insulation rod, which is trained based on the LSTM model, ARIMA model and CNN model.

[0082] In this step, LSTM is a special type of recurrent neural network that excels at processing and predicting event sequence data, capturing long-term dependencies in the data, and is suitable for handling complex patterns of changes in insulating rod parameters over time. The ARIMA model is used to analyze and predict time series data, capturing trends and seasonal variations in the data—that is, patterns or regularities that repeat within fixed time intervals—by combining autoregressive and moving average components, further providing a reliable statistical basis for predicting the remaining service life of grounding-operated insulating rods. CNN is a deep learning model that effectively extracts local features from data in time series analysis. By combining these models, and comprehensively utilizing the long-term dependency capture capability of LSTM, the trend analysis capability of ARIMA, and the feature extraction capability of CNN, the remaining service life of grounding-operated insulating rods can be predicted more accurately.

[0083] Therefore, by inputting multiple parameters of the grounding wire operating insulator, such as insulation resistance, absorption ratio, polarization index, temperature, and cumulative service time, into a pre-defined grounding wire operating insulator life prediction model, the remaining service life of the grounding wire operating insulator can be obtained. By obtaining the remaining service life of the grounding wire operating insulator, potential fault risks can be identified in advance, avoiding power system faults and outages caused by the failure of the grounding wire operating insulator. This helps optimize resource allocation, improve the operating efficiency of the power system, and reduce operating costs and safety risks.

[0084] S203: Transmit the remaining service life to the remote terminal.

[0085] The main control system transmits the remaining service life of the grounding wire operating insulator to a remote terminal via wireless communication, enabling remote monitoring and management of the grounding wire operating insulator. This allows power system operators to obtain real-time health status information of the grounding wire operating insulator, thereby identifying and assessing potential failure risks in advance. This allows for better planning of maintenance and replacement strategies, optimization of resource allocation, improvement of power system operating efficiency, reduction of operating costs and safety risks, and enhancement of the reliability and safety of the power system.

[0086] The state-sensing method for grounding wire operating insulating rods provided in this application collects multiple parameters of the grounding wire operating insulating rod in real time, such as insulation resistance, absorption ratio, polarization index, temperature, and cumulative usage time. These parameters are then input into a preset grounding wire operating insulating rod life prediction model LSTM-ARIMA-CNN to accurately predict the remaining service life of the insulating rod. Subsequently, the predicted remaining service life is transmitted to a remote terminal via wireless communication, enabling remote monitoring and management of the insulating rod. This method achieves effective prediction of the service life of grounding wire operating insulating rods, further realizing real-time monitoring and preventative maintenance of equipment status. It improves the operating efficiency of the power system, reduces operating costs and safety risks, and enhances the reliability and security of the power system.

[0087] Figure 3 A flowchart illustrating the state sensing method for a grounding wire operating insulating rod provided in this application. Figure 2 ,like Figure 3 As shown, in this embodiment... Figure 2 Based on the embodiments, the method further includes:

[0088] S301: Determine whether the remaining service life of the grounding wire operating insulating rod is 0 based on multiple parameters. Correspondingly, when the remaining service life of the grounding wire operating insulating rod is not 0, input multiple parameters into the preset grounding wire operating insulating rod life prediction model.

[0089] Understandably, if the remaining service life of the grounding wire operating insulator is not determined to be zero, it means that the grounding wire operating insulator still has a certain degree of usability. In this case, it is meaningful to input multiple parameters of the grounding wire operating insulator into a preset grounding wire operating insulator life prediction model to predict its remaining service life, thereby avoiding unnecessary calculations and waste of resources.

[0090] In one possible implementation, if the insulation resistance value among the multiple parameters is less than a first preset value, or the absorption ratio is less than a second preset value, or the polarization index is less than a third preset value, then the remaining service life of the grounding wire operating insulating rod is determined to be 0.

[0091] like Figure 2 As mentioned in the embodiments, insulation resistance is an important indicator for measuring the ability of a grounding wire operating insulating rod to resist current leakage under the action of an electric field. A higher value indicates better insulation performance. Therefore, the first preset value is usually set as a minimum safety threshold based on industry standards, laboratory test results, or historical data analysis. A value below this threshold indicates insufficient insulation performance of the grounding wire operating insulating rod, posing a risk of current leakage. Absorption ratio is used to assess the hygroscopicity and aging degree of the insulating material. A higher value indicates lower hygroscopicity, better insulation performance, and lower aging degree of the material. Therefore, the second preset value is usually set as a minimum safety threshold based on industry standards, laboratory test results, or historical data analysis. A value below this threshold indicates that the material of the grounding wire operating insulating rod has excessively aged and can no longer be used. A higher polarization index indicates better quality insulating material, lower hygroscopicity, and less aging. Therefore, the third preset value is usually set as a minimum safety threshold based on industry standards, laboratory test results, or historical data analysis. A value below this threshold indicates that the material performance of the grounding wire operating insulating rod has deteriorated and can no longer be used.

[0092] By setting minimum safety thresholds for insulation resistance, absorption ratio, and polarization index, an effective mechanism is provided to assess whether the remaining service life of a grounding wire operating insulated rod is zero. When any one of these parameters falls below its corresponding preset value, the remaining service life of the insulated rod is determined to be zero. This eliminates the need to input these parameters into a preset grounding wire operating insulated rod life prediction model, avoiding unnecessary calculations and resource waste. It effectively prevents current leakage and other safety issues caused by insufficient insulation performance or material aging, thereby improving the overall safety and reliability of the power system.

[0093] In one possible implementation, the first preset value is 1 megohm, the second preset value is 1.3, and the third preset value is 1.5.

[0094] In other words, if the insulation resistance value of the grounding wire operating insulating rod is less than 1 megohm, or the absorption ratio is less than 1.3, or the polarization index is less than 1.5, then the remaining service life of the grounding wire operating insulating rod is determined to be 0, and it can no longer be used.

[0095] It should be noted that the first preset value of 1 megohm, the second preset value of 1.3, and the third preset value of 1.5 in this scheme are determined based on the specific characteristics and performance indicators of the grounding wire operating insulating rod used in this scheme. In practical applications, appropriate adjustments can be made according to different types and models of insulating rods to adapt to specific usage environments and conditions. However, regardless of the adjustments, the preset values ​​must be set to at least the lowest safety thresholds corresponding to the insulation resistance, absorption ratio, and polarization index to ensure the safety and reliability of the grounding wire operating insulating rod during use.

[0096] S302: Controls the stepper motor to operate the insulating rod via the grounding wire to perform the operation of tightening the grounding wire.

[0097] In this step, a stepper motor is a type of electric motor that converts electrical pulse signals into corresponding angular or linear displacement. By receiving a series of electrical pulse signals, the rotation angle and speed of the motor shaft are precisely controlled. Each time a stepper motor receives a pulse, it rotates by a fixed angle, known as the step angle, making it suitable for applications requiring precise positioning and control. In the grounding wire operation, specifically the tightening of the insulating rod, the stepper motor performs the tightening operation through precise rotational control, ensuring reliable connection or disconnection of the grounding wire, thereby improving the accuracy and reliability of the operation.

[0098] Specifically, when the main control system determines that the remaining service life of the grounding wire operating insulating rod is not zero based on the grounding wire operating insulating rod, and inputs multiple parameters into the preset grounding wire operating insulating rod life prediction model, after obtaining the remaining service life of the grounding wire operating insulating rod, indicating that the grounding wire operating insulating rod can still be used, the main control system sends a pulse signal to the stepper motor, instructing it to perform the grounding wire tightening operation. After receiving the pulse signal, the stepper motor converts the pulse signal into a precise angular displacement, and performs the grounding wire tightening operation through the grounding wire operating insulating rod. Through the precise control and operation of the main control system and the stepper motor, the reliability of tightening the grounding wire through the grounding wire operating insulating rod is ensured, reducing the need for manual intervention, lowering the risk of human error, and improving overall operating efficiency.

[0099] S303: Receives indication information returned by the stepper motor. The indication information is used to indicate whether the grounding wire operation insulating rod is properly tightened to ensure the grounding wire is in place.

[0100] In this step, the stepper motor uses torque detection and step / angle feedback methods to determine whether the grounding wire is properly tightened by the grounding wire operating insulating rod. The core idea of ​​the torque detection method is that when the stepper motor performs the grounding wire tightening operation through the grounding wire operating insulating rod within a preset maximum tightening time, the tightening torque changes in real time with the tightening state. When the grounding wire terminal makes good contact and reaches a tight state, the tightening torque will suddenly increase and exceed or equal to a preset tightening torque threshold. The core idea of ​​the step / angle feedback method is that the stepper motor estimates the tightening depth of the grounding wire operating insulating rod by controlling the number of rotation steps and the rotation angle of the stepper motor. When the number of rotation steps of the stepper motor is greater than or equal to a preset step threshold but the tightening torque is less than a preset torque threshold, or when the rotation angle of the stepper motor is greater than or equal to a preset angle threshold but the tightening torque is less than a preset torque threshold, there may be free rotation or poor contact.

[0101] The setting of the preset tightening torque threshold should conform to the mechanical parameters of the grounding terminal, such as thread specifications and material hardness, as well as industry standard requirements. For example, for an M10 threaded grounding terminal, the tightening torque threshold range is typically [15, 20], in N. m, may have A 10% tolerance range is provided to avoid misjudgments caused by mechanical tolerances or environmental factors such as temperature and humidity.

[0102] The preset step count and angle thresholds were determined based on actual testing of the grounding wire operating insulating rod for a specific model. In one specific implementation of this solution, a certain model of grounding wire operating insulating rod requires 5 turns to achieve full terminal contact, i.e., tightening to the correct position. These 5 turns correspond to 500 steps of the stepper motor rotation, with a step angle of... Is there? A tolerance range of 0.5 turns.

[0103] Regarding the preset maximum tightening time, a maximum tightening time should be set to avoid damage to the stepper motor due to idling or overload. In one specific implementation of this solution, the maximum tightening time is set to 30 seconds. That is, the stepper motor operates the insulating rod through the grounding wire and must complete the tightening operation of the grounding wire within 30 seconds. If the grounding wire operation of the insulating rod has not reached the position within 30 seconds, it indicates a fault, such as thread jamming.

[0104] The torque threshold, step threshold, angle threshold, and maximum turning time mentioned here are only examples. In actual applications, they should be adjusted appropriately according to the specific equipment. This application does not impose any specific limitations.

[0105] Specifically, a miniature torque sensor, such as a strain gauge torque sensor, is installed on the output shaft of the stepper motor or at the connection point with the grounding wire operating insulating rod. This sensor monitors the turning torque in real time and acquires the stepper motor's current value in real time via a driver chip (such as A4988 or DRV8825). Within the maximum turning time, if the turning torque or current value (the stepper motor's current value is proportional to the turning torque) is greater than a preset turning torque threshold and remains stable, such as for 1-2 seconds, it indicates that the grounding wire has been properly turned onto the grounding wire by the grounding wire operating insulating rod.

[0106] An incremental encoder mounted on the stepper motor shaft records in real time the difference between the actual number of steps the stepper motor rotates and a preset step threshold, and calculates the difference based on the stepper motor's step angle (e.g., ...). The actual rotation angle of the grounding wire operating insulating rod is obtained by adjusting the reduction ratio of the stepper motor ( / step) and the transmission mechanism. Within the maximum tightening time, if the actual number of steps of the stepper motor is greater than or equal to the preset step threshold and the tightening torque is greater than the preset tightening torque threshold, it indicates that the grounding wire operating insulating rod has tightened the grounding wire to the correct position. Conversely, if the actual number of steps is not equal to the preset step threshold and the tightening torque is less than the preset torque threshold within the maximum tightening time, it indicates that the grounding wire operating insulating rod has not tightened the grounding wire to the correct position.

[0107] S304: Determine whether the grounding wire is properly tightened by rotating the insulating rod on the grounding wire operation.

[0108] If yes, then execute S305; otherwise, execute S306 and then return to continue executing S302.

[0109] S305: Push notification with voice message indicating that the knob has been turned into place.

[0110] In other words, if the grounding wire operation insulating rod has been turned into place, a voice message indicating that it has been turned into place will be pushed.

[0111] The main control system receives the indication information returned by the stepper motor. If the grounding wire operation insulating rod has been turned into place, it pushes a voice message indicating that it has been turned into place. At the same time, it records the detailed information of this operation, including: operation time, turning angle, position data, etc., for future maintenance and inspection.

[0112] S306: Push notification with voice message: Please continue turning.

[0113] In other words, if the grounding wire is not properly tightened by turning the insulating rod, a voice message will be sent to instruct you to continue tightening.

[0114] The main control system receives the instruction information returned by the stepper motor. If the instruction information indicates that the grounding wire operation insulating rod has not been turned into place, it will push a voice message to continue turning and repeat the above steps until the grounding wire operation insulating rod is turned into place. It will also record the detailed information of this operation, including: operation time, turning angle, position data, etc., for future maintenance and inspection.

[0115] The main control system receives the indication information returned by the stepper motor in real time, realizing precise monitoring and feedback of the process of tightening the grounding wire by the insulating rod of the grounding wire operation, which improves the accuracy and reliability of the operation and ensures the stable operation of the power system.

[0116] The status sensing method for the grounding wire operating insulating rod provided in this application embodiment achieves precise monitoring and operation of the insulating rod through multiple steps. First, the main control system, based on multiple parameters, determines that the remaining service life of the grounding wire operating insulating rod is not zero, and then inputs these parameters into a preset service life prediction model to predict its remaining service life. Subsequently, the system controls a stepper motor to perform a tightening operation on the grounding wire operating insulating rod, ensuring reliable connection or disconnection of the grounding wire. The stepper motor monitors the rotation angle and position in real time through its built-in encoder, generating indication information of whether the tightening is complete or incomplete, and sends this information to the main control system. If the tightening is complete, the main control system provides a voice prompt and records the operation details; if incomplete, it prompts the user to continue the operation until completion. Through this method, effective assessment and operation of the insulating rod's status are achieved, ensuring the accuracy and reliability of the operation, reducing the risk of manual intervention and human error, improving overall operational efficiency, enhancing the safety and stability of the power system, and providing reliable data support for future maintenance and inspection.

[0117] Figure 4 A flowchart illustrating the state sensing method for a grounding wire operating insulating rod provided in this application. Figure 3 ,like Figure 4 As shown, based on the above embodiments, this embodiment further includes:

[0118] S401: Obtain a historical data sample set of the grounding wire operation insulating rod. The historical data sample set includes: electrical parameters, mechanical parameters, environmental parameters, historical maintenance data, and remaining service life under the corresponding conditions for multiple grounding wire operation insulating rods.

[0119] In this step, obtaining a historical data set of samples of the grounding wire operating insulator is the basis for predicting the lifespan of the grounding wire operating insulator, reflecting its condition. The multi-dimensional parameters reflecting the aging state of the grounding wire operating insulator include: electrical parameters, mechanical parameters, environmental parameters, and historical maintenance data for multiple grounding wire operating insulators.

[0120] Electrical parameters include the insulation resistance, absorption ratio, polarization index, leakage current, dielectric loss factor, and partial discharge quantity of the grounding wire operating insulator, reflecting the degree of performance degradation of the grounding wire operating insulator. Mechanical parameters include the bending degree of the operating rod, surface roughness, and looseness of connecting parts (such as torque value), reflecting the mechanical wear of the grounding wire operating insulator. Environmental parameters include the number of times the grounding wire operating insulator has been used, cumulative operating time, operating temperature, operating humidity, and pollution level, reflecting the impact of the working environment on the grounding wire operating insulator. Historical maintenance data includes the maintenance records, information on replaced parts, and inspection cycles of the grounding wire operating insulator to help determine the aging trend of the grounding wire operating insulator.

[0121] In one possible implementation, multi-dimensional parameters of multiple grounding wire operating insulated rods are integrated with historical maintenance records to form a historical data sample set containing time series data. This historical data sample set is labeled with the grounding wire operating insulated rod number, inspection time, current health status (e.g., normal, slightly aged, or severely aged), and current remaining service life for each data point.

[0122] By acquiring a historical data sample set of grounding wire operating insulated rods, a data foundation is provided for constructing a life prediction model for grounding wire operating insulated rods, making the life prediction of grounding wire operating insulation more reliable, thereby reducing the risk of equipment failure and improving the management efficiency of grounding wire operating insulated rods.

[0123] S402: Train the LSTM model based on the historical data sample set to obtain the first prediction model; train the ARIMA model based on the historical data sample set to obtain the second prediction model; and train the CNN model based on the historical data sample set to obtain the third prediction model.

[0124] In this step, such as Figure 1 As mentioned in the embodiments, the LSTM model can capture long-term dependencies in the data and is suitable for handling complex patterns of changes in the parameters of the grounding wire operating insulated rod over time; the ARIMA model can be used to analyze and predict time series data, capturing trend changes in the data; and the CNN model can effectively capture local features in time series analysis. By combining the long-term capture capability of the LSTM model, the trend analysis capability of the ARIMA model, and the feature extraction capability of the CNN model, the remaining service life of the grounding wire operating insulated rod can be predicted more accurately.

[0125] Specifically, the network structure of the LSTM model used to handle time-dependent problems includes an input layer, hidden layers, and an output layer. The dimension of its input layer is (time step, number of features), for example, selecting the parameter sequence of the past 30 days as input; its hidden layer includes 1 to 2 layers of LSTM units, each layer containing 64 to 128 neural units; its output layer is a fully connected layer used to output a single value, namely the predicted value of the remaining service life of the grounding wire operating insulation rod.

[0126] In one possible implementation, during the training of the LSTM model to obtain the first prediction model based on a historical data sample set, Mean Squared Error (MSE) or Mean Absolute Error (MAE) is used as the loss function to ensure the model's accuracy in predicting the lifespan of the grounding wire operation insulation rod. To optimize model parameters, the Adam optimizer is used with a learning rate set to 0.001 to balance the model's convergence speed and stability. Early stopping is employed to prevent overfitting; training is terminated when the validation set performance no longer improves, thereby enhancing the model's generalization ability. The dataset is divided chronologically to preserve temporal characteristics, with 70% used for the training set, 20% for the validation set, and 10% for the test set. This data partitioning ensures the model can effectively capture trends and patterns in the time series, thereby improving the accuracy and reliability of predictions.

[0127] The ARIMA model used for time series analysis determines the difference order d, the moving average order q, and the autoregression order p through the autocorrelation function (ACF) and the partial autocorrelation function (PACF).

[0128] In one possible implementation, during the training of the ARIMA(p,d,q) = ARIMA(2,1,1) model to obtain the second prediction model based on a historical data sample set, the autoregressive order p is 2, indicating that two lagged observations are used to predict the current value; the differencing order d is 1, indicating that the data undergoes one differencing to achieve stationarity; and the moving average order q is 1, indicating that one lagged prediction error is used to adjust the model prediction. For each key parameter, such as leakage current, a separate ARIMA model is built to predict its future trend, thereby capturing the parameter's changing pattern over time. By building a separate ARIMA model for each key parameter, the unique changing pattern of each parameter can be captured, improving the accuracy and reliability of the prediction, thus providing data support for subsequent decision-making. CNN models used to process image or structured data include input layers, convolutional layers, and output layers. In the process of training the CNN model to obtain the third prediction model based on the historical sample data set, the input layer of the CNN model can receive two types of data: image data (such as high-definition images of the surface of the grounding wire operation insulating rod, some of which may contain cracks) or one-dimensional feature vectors (parametric spectrum analysis data of the grounding wire operation insulating rod); its convolutional layer includes extracting spatial features through 1-2 layers of 3×3 convolutional kernels, such as the crack length or discharge hot spot distribution of the grounding wire operation insulating rod; its output layer is a fully connected layer, which is fused with the LSTM output layer to output a single value, namely the predicted value of the remaining service life of the grounding wire operation insulating rod.

[0129] By training an LSTM model, an ARIMA model, and a CNN model based on historical data sample sets, respectively, the resulting first, second, and third prediction models demonstrated excellent performance in in-depth analysis of time series data, effective identification and prediction of trend changes in time series, and extraction of local features from the data. This provides a foundation for the construction of a subsequent prediction model for the lifespan of grounding wire operation insulation rods.

[0130] S403: Based on the first prediction model, the second prediction model and the third prediction model, a prediction model for the life of the grounding wire operation insulating rod is obtained by fusion.

[0131] In this step, the process of fusing the grounding wire operation insulation rod lifetime prediction model based on the first, second, and third prediction models includes both data-level and model-level fusion. Data-level fusion involves concatenating the long-term time-series dependency features extracted by the LSTM model, the time-series trend features extracted by the ARIMA model, and the spatial structure features of the spectral analysis data extracted by the CNN model to obtain a new feature vector. Model-level fusion includes parallel and serial fusion. Parallel fusion involves calculating the remaining usage prediction value of the grounding wire operation insulation rod by weighted averaging the prediction results of the first, second, and third prediction models, where the weighting weights are optimized using a validation set. Serial fusion involves inputting the time-series trend features extracted by the ARIMA model into the LSTM model to capture multi-parameter correlations, and finally supplementing the image features or spectral analysis data features using a CNN model.

[0132] In one specific implementation of this scheme, a new feature vector is obtained by concatenating the long-term time-series dependency features extracted by the LSTM model, the time-series trend features extracted by the ARIMA model, and the spatial structure features of the spectral analysis data extracted by the CNN model. Based on the new feature vector, a regression model is trained as the final predictor, thus obtaining the life prediction model for the grounding wire operation insulation rod. This regression model can be a support vector machine, XGBoost model, etc.

[0133] By fusing the trained LSTM model, ARIMA model, and CNN model, a prediction model for the remaining service life of the grounding wire operation insulating rod is obtained. The model can gradually integrate time series trends, multi-parameter correlations, and spectral data features to achieve in-depth analysis of complex data, thereby enhancing its adaptability to different data types and features and improving the prediction accuracy of the remaining service life of the grounding wire operation insulating rod.

[0134] In one possible implementation, after fusing the grounding wire operation insulation rod lifetime prediction model, the model is then subjected to hyperparameter tuning and model verification.

[0135] Specifically, the hyperparameters of the model, including the number of LSTM layers, the number of convolutional kernels in the CNN, and the order of the ARIMA, are adjusted using grid search or Bayesian optimization methods with the goal of minimizing the mean squared error (MSE) of the validation set. The model's performance is comprehensively evaluated using metrics such as root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R-squared, R²). Simultaneously, ablation experiments are conducted to verify the superiority of this grounding wire operational insulation rod lifetime prediction model over single models (such as LSTM, ARIMA, or CNN models) in terms of prediction accuracy and reliability.

[0136] In one specific implementation of this solution, the grounding wire operational insulation rod life prediction model is applied to edge computing and a cloud platform. In edge computing, the lightweight grounding wire operational insulation rod life prediction model is deployed on the grounding wire operational insulation rod sensor terminal to achieve real-time data acquisition and local prediction. On the cloud platform, data is uploaded to the cloud via IoT technology, and the grounding wire operational insulation rod life prediction model is invoked using Python Flask or Java services to output the remaining lifespan of the grounding wire operational insulation rod for relevant personnel to reference and make decisions.

[0137] Furthermore, to ensure that the life prediction model for the grounding wire operated insulating rod continuously adapts to the aging patterns of the insulating rod, it is necessary to regularly update the training data. By adding new detection data each month, the model is retrained, enabling it to dynamically adjust and optimize to cope with changes in the condition of the grounding wire operated insulating rod. This continuous iterative process not only improves the long-term applicability of the model but also enhances its reliability and effectiveness in practical applications.

[0138] The state-aware method for grounding wire operating insulated rods provided in this application obtains a life prediction model for grounding wire operating insulated rods by acquiring and processing historical data sample sets and combining the training and fusion of LSTM, ARIMA, and CNN models. This model can not only capture temporal trends and multi-parameter correlations in complex data but also process spectral data features, significantly improving prediction accuracy. In practical applications, this model is deployed on edge computing and cloud platforms, realizing real-time data acquisition, local prediction, and cloud analysis. Hyperparameter tuning and performance evaluation ensure the model's stability and reliability under different environments. Furthermore, by regularly updating training data, the model can dynamically adapt to the aging patterns of the insulated rods, maintaining long-term applicability. The grounding wire operating insulated rod life prediction model constructed using the above method can accurately predict the remaining service life of the operating rod, not only reducing equipment failure risks and improving management efficiency but also providing strong support for preventative maintenance and resource optimization.

[0139] exist Figure 4 Based on the embodiment, prior to S402, the state sensing method for the grounding wire operating insulating rod further includes:

[0140] In one possible implementation, the data in the historical data sample set is cleaned and feature transformed to obtain an intermediate historical data sample set.

[0141] To improve data quality and the effectiveness of model input, the historical data sample set undergoes cleaning and feature transformation. Data cleaning refers to identifying, correcting, or deleting erroneous, noisy, and outlier data to ensure accuracy and integrity. Feature transformation involves converting the raw data in the historical data sample set into a format more suitable for model analysis, including standardization, normalization, encoding categorical variables, and generating new features such as time series features or interaction features.

[0142] Specifically, for outliers, statistical methods (such as Z-score, Interquartile Range (IQR)) or machine learning algorithms (such as Isolation Forest) are used to identify and remove abnormal data points, such as extreme values ​​caused by sensor malfunctions. For missing values, interpolation methods (such as linear interpolation, polynomial interpolation) or time series models are used to predict and fill in the missing data. Time series features are generated for each parameter in the cleaned historical sample dataset, such as sliding window mean, variance, maximum or minimum value, and trend term (through polynomial fitting), to capture the parameter's changing trend over time. Finally, the feature-transformed data is normalized using Min-Max standardization or Z-score standardization to eliminate dimensional anomalies and combine them into a multidimensional feature vector, resulting in an intermediate historical data sample set.

[0143] By cleaning and transforming the original data, the data in the intermediate historical data sample set becomes cleaner and more consistent, providing high-quality input for subsequent model training.

[0144] In one possible implementation, the remaining useful life of the intermediate historical data sample set is labeled to obtain the processed historical data sample set.

[0145] Remaining useful life (RWW) labeling refers to assigning a numerical value to each sample to indicate how much longer or how many more times that sample is expected to continue to be used in its current state. This labeling process is based on the analysis of the aging and degradation status of equipment, and is usually determined through experiments, historical data, or expert judgment, enabling the model to learn the relationship between features and remaining useful life during training.

[0146] Specifically, the remaining service life of each grounding wire operating insulating rod in the intermediate historical data sample set is labeled in "years" or "operation counts" through accelerated aging tests, historical replacement records, or expert evaluations. If direct service life data is lacking, the Cox proportional hazards model in survival analysis can be used to estimate the remaining service life of the equipment through statistical methods, resulting in a processed historical data sample set. By labeling the remaining service life of each sample in the intermediate historical data sample set, a data foundation with supervised information is provided for subsequent model training.

[0147] Figure 5 A schematic diagram of the structure of a state sensing device for a grounding wire operating insulating rod provided in this application is shown below. Figure 5 As shown, the state sensing device 50 for the grounding wire operating insulating rod provided in this embodiment includes:

[0148] The first processing module 501 is used to collect multiple parameters of the grounding wire operating insulating rod in real time;

[0149] The second processing module 502 is used to input multiple parameters into a preset grounding wire operation insulating rod life prediction model to obtain the remaining service life of the grounding wire operation insulating rod. The grounding wire operation insulating rod life prediction model is a model for predicting the service life of the grounding wire operation insulating rod, which is trained based on LSTM model, ARIMA model and CNN model.

[0150] The third processing module 503 is used to transmit the remaining service life to the remote terminal.

[0151] In one possible implementation, the state sensing device 50 for the grounding wire operating insulating rod further includes a fourth processing module 504, for:

[0152] The remaining service life of the grounding wire operating insulating rod is determined based on multiple parameters;

[0153] Accordingly, the second processing module 502 is specifically used for:

[0154] When the remaining service life of the grounding wire operating insulating rod is not zero, multiple parameters are input into the preset grounding wire operating insulating rod life prediction model.

[0155] In one possible implementation, the state sensing device 50 for the grounding wire operating insulating rod further includes a fifth processing module 505, for:

[0156] The stepper motor is controlled to operate the insulating rod via the grounding wire to perform the operation of tightening the grounding wire;

[0157] Receive the indication information returned by the stepper motor. The indication information is used to indicate whether the grounding wire operation insulating rod is tightened to the correct position.

[0158] If the instruction message indicates that the grounding wire operation insulating rod is not turned into place, repeat the above steps until the grounding wire operation insulating rod is turned into place.

[0159] In one possible implementation, the state sensing device 50 for the grounding wire operating insulating rod further includes a sixth processing module 506, for:

[0160] If the grounding wire operation insulating rod has been turned into place, a voice message indicating that it has been turned into place will be pushed out;

[0161] If the grounding wire is not properly tightened by turning the insulating rod, a voice message will be sent indicating that you should continue tightening.

[0162] In one possible implementation, the state sensing device 50 for the grounding wire operating insulating rod further includes a seventh processing module 507, for:

[0163] Obtain a historical data sample set of grounding wire operating insulating rods. The historical data sample set includes: electrical parameters, mechanical parameters, environmental parameters, historical maintenance data, and remaining service life under the corresponding conditions for multiple grounding wire operating insulating rods.

[0164] The first prediction model is obtained by training the LSTM model based on the historical data sample set; the second prediction model is obtained by training the ARIMA model based on the historical data sample set; and the third prediction model is obtained by training the CNN model based on the historical data sample set.

[0165] Based on the first prediction model, the second prediction model, and the third prediction model, a prediction model for the life of the grounding wire operation insulating rod is obtained by fusion.

[0166] In one possible implementation, the state sensing device 50 for the grounding wire operating insulating rod further includes an eighth processing module 508, for:

[0167] The data in the historical data sample set is cleaned and its features are transformed to obtain an intermediate historical data sample set.

[0168] The remaining useful life in the intermediate historical data sample set is labeled to obtain the processed historical data sample set.

[0169] In one possible implementation, the fourth processing module 504 is specifically used for:

[0170] If the insulation resistance value among multiple parameters is less than the first preset value, or the absorption ratio is less than the second preset value, or the polarization index is less than the third preset value, then the remaining service life of the grounding wire operating insulating rod is determined to be 0.

[0171] In one possible implementation, the fourth processing module 504 is further configured to indicate that the first preset value is 1 megohm, the second preset value is 1.3, and the third preset value is 1.5.

[0172] The state sensing device for the grounding wire operating insulating rod provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0173] Figure 6 A schematic diagram of the state sensing system for a grounding wire operating insulating rod provided in this application is shown below. Figure 6 As shown, the status sensing system 60 of the grounding wire operating insulating rod includes: a stepper motor 104, a main control system 103 and a remote terminal 102. The stepper motor 104 is electrically connected to the main control system 103, and the main control system 103 is communicatively connected to the remote terminal 102.

[0174] Among them, the stepper motor 104 is used to perform the operation of tightening the grounding wire by operating the insulating rod through the grounding wire, and to determine whether the grounding wire is tightened in place by operating the insulating rod through the grounding wire;

[0175] The main control system 103 is used to execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0176] In one possible implementation, the stepper motor 104 includes a turning control unit 6011, a limit sensing unit 6012, a first storage unit 6013, and a first interface unit 6014; the turning control unit 6011 is electrically connected to the limit sensing unit 6012, the limit sensing unit 6012 is electrically connected to the first storage unit 6013, and the first storage unit 6013 is electrically connected to the first interface unit 6014.

[0177] Specifically, the main control system 103 adopts a sleep mode under normal circumstances and triggers a power-on control command when operation is required, thereby ensuring low power consumption and long battery life.

[0178] The screwing control unit 6011 is used to receive the instruction sent by the main control system 103 to the stepper motor 104 to perform the screwing operation of the grounding wire through the grounding wire operating insulating rod, and convert it into a specific screwing action. By precisely controlling the rotation of the stepper motor, the reliable connection or disconnection of the grounding wire can be achieved.

[0179] The limit sensing unit 6012 is used to monitor the position and angle of the grounding wire operation insulating rod during the process of tightening the grounding wire in real time, to ensure that the grounding wire operation insulating rod is tightened to the correct position, and to generate corresponding indication information of whether the position is correct or not.

[0180] The first storage unit 6013 is used to store relevant data on the grounding wire operation of the insulating rod, including operation time, angle, position and other information, for subsequent analysis and maintenance.

[0181] The first interface unit 6014 is used for communication between the stepper motor 104 and the main control system 103 to transmit the status information and feedback data of the turning operation, so as to ensure that the real-time monitoring and feedback functions of the main control system 103 can be realized.

[0182] Through the coordinated operation of the screwing control unit 6011, the limit sensing unit 6012, the first storage unit 6013, and the first interface unit 6014, the stepper motor 104 can efficiently and accurately perform the screwing and grounding wire operation, reducing the risk of manual intervention and human error, and improving the overall operating efficiency.

[0183] In one possible implementation, the main control system 103 includes a second interface unit 6021, a second storage unit 6022, a sound notification unit 6023, a power supply unit 6024, a communication unit 6025, an instruction unit 6026, a test unit 6027, and a computing unit 6028.

[0184] The second storage unit 6022 is electrically connected to the second interface unit 6021, the power supply unit 6024, the communication unit 6025 and the sound notification unit 6023 respectively. The sound notification unit 6023 is electrically connected to the instruction unit 6026. The arithmetic unit 6028 is electrically connected to the second storage unit 6022. The test unit 6027 is electrically connected to the arithmetic unit 6028.

[0185] In one possible implementation, the stepper motor 104 is electrically connected to the second interface unit 6021 of the main control system 103 via the first interface unit 6014;

[0186] Specifically, the second interface unit 6021 is used for communication between the main control system 103 and the stepper motor 104, receiving status information and data feedback from the stepper motor 104, and sending an instruction to the stepper motor 104 to perform a grounding wire operation by operating the insulating rod through the grounding wire.

[0187] The second storage unit 6022 is used to store multiple parameters of the grounding wire operating insulating rod, remaining service life, grounding wire tightening information, and the position and time of the grounding wire operating insulating rod.

[0188] The voice notification unit 6023 is used to push voice messages indicating that the grounding rod has been turned in place or to instruct people to continue turning, based on whether the grounding rod is in place.

[0189] In one possible implementation, the main control system 103 is powered by an external lithium-ion battery and a lithium-ion battery capacitor connected to the power supply unit 6024.

[0190] The power supply unit 6024 provides necessary power support to the various units of the main control system to ensure the normal operation of the system. In one specific implementation of this solution, the power supply unit 6024 has a voltage of 24V, a discharge internal resistance of less than 80MΩ, a low battery self-discharge rate, and a battery storage life of more than 10 years.

[0191] In one possible implementation, the main control system 103 is connected to the remote terminal 102 via the communication unit 6025.

[0192] The communication unit 6025 is used to communicate with the remote terminal 102 to realize remote data transmission and reception, and support remote monitoring and control of the system. The communication unit 6025 adopts wireless communication, supports 433MHz communication, and extends the hardware with General Packet Radio Service (GPRS). The 433MHz wireless communication section adopts a modular design, which is convenient for installation and disassembly, and has advantages such as low power consumption, low cost, strong penetration, and reliable communication.

[0193] The instruction unit 6026 is used to generate and send control commands to control the stepper motor to perform the operation of tightening the grounding wire by operating the insulating rod through the grounding wire.

[0194] Test unit 6027 is used to perform self-checks and tests on various functions of main control system 103 to ensure that the system operates in the best condition.

[0195] The arithmetic unit 6028 is used to process and analyze the received data and perform complex calculation tasks, such as the calculation of the life prediction model of the grounding wire operation insulation rod.

[0196] The main control system 103, through the coordinated operation of the second interface unit 6021, the second storage unit 6022, the sound notification unit 6023, the power supply unit 6024, the communication unit 6025, the instruction unit 6026, the test unit 6027, and the arithmetic unit 6028, can efficiently manage and control the status perception of the entire grounding wire operation insulation rod, ensuring its safety and reliability.

[0197] The state sensing system for the grounding wire operating insulating rod provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0198] Figure 7 This is a schematic diagram of the structure of an electronic device provided in this application. Figure 7 As shown, the electronic device 70 provided in this embodiment includes at least one processor 701 and a memory 702. Optionally, the device 70 further includes a communication component 703. The processor 701, memory 702, and communication component 703 are connected via a bus 704.

[0199] In a specific implementation, at least one processor 701 executes computer execution instructions stored in memory 702, causing at least one processor 701 to perform the above-described method.

[0200] The specific implementation process of processor 701 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0201] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0202] The memory may include random access memory (RAM) in high-speed memory, and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0203] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0204] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0205] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random-Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0206] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside within an ASIC. Alternatively, the processor and the readable storage medium can exist as discrete components in a device.

[0207] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0208] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0209] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0210] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0211] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0212] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for sensing the state of a grounding wire operating insulating rod, characterized in that, include: Real-time acquisition of multiple parameters of the grounding wire operating insulating rod; The multiple parameters are input into a preset grounding wire operating insulating rod life prediction model to obtain the remaining service life of the grounding wire operating insulating rod. The grounding wire operating insulating rod life prediction model is a model for predicting the service life of the grounding wire operating insulating rod, which is trained based on LSTM model, ARIMA model and CNN model. The remaining useful life is transmitted to a remote terminal.

2. The method according to claim 1, characterized in that, Before inputting the multiple parameters into the preset grounding wire operation insulation rod life prediction model, the method further includes: Based on the aforementioned parameters, determine whether the remaining service life of the grounding wire operating insulating rod is 0; Accordingly, inputting the multiple parameters into the preset grounding wire operation insulation rod life prediction model includes: When the remaining service life of the grounding wire operating insulating rod is not zero, the multiple parameters are input into a preset grounding wire operating insulating rod life prediction model.

3. The method according to claim 1 or 2, characterized in that, The method further includes: The stepper motor is controlled to operate the insulating rod via the grounding wire to perform the grounding wire tightening operation; The stepper motor returns an indication message, which is used to indicate whether the grounding wire operation insulating rod has been turned to the grounding wire in place; If the indication information indicates that the grounding wire operating insulating rod is not properly tightened to the grounding wire position, repeat the aforementioned steps until the grounding wire operating insulating rod is properly tightened to the grounding wire position.

4. The method according to claim 3, characterized in that, The method further includes: If the grounding wire operation insulating rod has been screwed into place, a voice message indicating that it has been screwed into place will be pushed out. If the grounding wire is not properly tightened by rotating the insulating rod, a voice message will be sent indicating that you should continue tightening.

5. The method according to claim 1 or 2, characterized in that, Before inputting the multiple parameters into a preset grounding wire operating insulating rod life prediction model to obtain the remaining service life of the grounding wire operating insulating rod, the method further includes: Obtain a historical data sample set of grounding wire operating insulating rods. The historical data sample set includes: electrical parameters, mechanical parameters, environmental parameters, historical maintenance data, and remaining service life under corresponding conditions for multiple grounding wire operating insulating rods. The LSTM model is trained based on the historical data sample set to obtain a first prediction model; the ARIMA model is trained based on the historical data sample set to obtain a second prediction model; and the CNN model is trained based on the historical data sample set to obtain a third prediction model. Based on the first prediction model, the second prediction model, and the third prediction model, the life prediction model of the grounding wire operation insulating rod is obtained by fusion.

6. The method according to claim 5, characterized in that, Before training the LSTM model, the ARIMA model, and the CNN model based on the historical data sample set, the method further includes: The data in the historical data sample set is cleaned and feature transformed to obtain an intermediate historical data sample set; The remaining useful life in the intermediate historical data sample set is labeled to obtain the processed historical data sample set.

7. The method according to claim 2, characterized in that, Determining whether the remaining service life of the grounding wire operating insulating rod is 0 based on the multiple parameters includes: If the insulation resistance value among the plurality of parameters is less than a first preset value, or the absorption ratio is less than a second preset value, or the polarization index is less than a third preset value, then the remaining service life of the grounding wire operating insulating rod is determined to be 0.

8. The method according to claim 7, characterized in that, The first preset value is 1 megohm, the second preset value is 1.3, and the third preset value is 1.

5.

9. A state sensing device for a grounding wire operating insulating rod, characterized in that, include: The first processing module is used to collect multiple parameters of the grounding wire operating insulating rod in real time; The second processing module is used to input the multiple parameters into a preset grounding wire operating insulating rod life prediction model to obtain the remaining service life of the grounding wire operating insulating rod. The grounding wire operating insulating rod life prediction model is a model for predicting the service life of the grounding wire operating insulating rod, which is trained based on LSTM model, ARIMA model and CNN model. The third processing module is used to transmit the remaining service life to a remote terminal.

10. A state sensing system for a grounding wire operating insulating rod, characterized in that, include: The system includes a stepper motor, a main control system, and a remote terminal. The stepper motor is electrically connected to the main control system, and the main control system is communicatively connected to the remote terminal. The stepper motor is used to perform the operation of tightening the grounding wire by operating the insulating rod through the grounding wire, and to determine whether the grounding wire is tightened in place by operating the insulating rod through the grounding wire. The main control system is used to execute the method according to any one of claims 1 to 8.

11. The system according to claim 10, characterized in that, The stepper motor includes a turning control unit, a limit sensing unit, a first storage unit, and a first interface unit; The turning control unit is electrically connected to the limit sensing unit, the limit sensing unit is electrically connected to the first storage unit, and the first storage unit is electrically connected to the first interface unit.

12. The system according to claim 10, characterized in that, The main control system includes a second interface unit, a second storage unit, a sound notification unit, a power supply unit, a communication unit, an instruction unit, a testing unit, and a computing unit. The second storage unit is electrically connected to the second interface unit, the power supply unit, the communication unit, and the sound notification unit, respectively. The sound notification unit is electrically connected to the instruction unit, the arithmetic unit is electrically connected to the second storage unit, and the test unit is electrically connected to the arithmetic unit.

13. The system according to claim 12, characterized in that, The main control system is powered by an external lithium-ion battery and a lithium-ion battery capacitor connected to the power supply unit.

14. The system according to claim 12, characterized in that, The stepper motor is electrically connected to the second interface unit of the main control system through the first interface unit; The main control system communicates with the remote terminal through the communication unit.

15. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1 to 8.

16. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 8.

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