Ground wire adjustment strategy determination method and device and storage medium

Abstract

The invention discloses a method and a device for determining an adjustment strategy of a grounding wire and a storage medium. The method comprises the steps that basic attribute data of the grounding wire are acquired, and the basic attribute data comprise at least one of environment information, performance information, position information and state information of the position where the grounding wire is located; on the basis of the basic attribute data, the stress state of the grounding wire in the future time period is predicted, and the stress state is used for indicating the tightness degree of the grounding wire; predicting fault information of the grounding wire in a future time period based on the stress state and the basic attribute data; and based on the fault information and the basic attribute data, an adjustment strategy of the ground wire is determined, and the adjustment strategy is used for indicating a to-be-adjusted rule of the ground wire. The technical problem of low ground wire management efficiency is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management of electric power safety equipment, and in particular to a method, a device and a storage medium for determining an adjustment strategy of a grounding wire. Background Art

[0002] At present, with the continuous development of the power industry, in the electrical system, the grounding wire is an important safety device used to protect personnel and equipment from electric shock. When the electrical equipment fails or short-circuits, the grounding wire can guide the current to the ground to prevent the current from passing through the human body or equipment and causing damage or injury. The management and maintenance of the grounding wire is very important. Proper management of the grounding wire can ensure its effectiveness and reliability. Regularly check whether the grounding wire is firmly connected, whether there is damage or corrosion, etc., and repair or replace the problematic parts in time. In addition, ensure that the grounding wire is in good contact with the ground to avoid poor grounding effect due to poor contact.

[0003] In the related technologies, the traditional grounding wire management method has problems such as low efficiency and many safety hazards. Although the existing intelligent grounding wire management system has made some progress, there is still a lot of room for improvement in terms of system integration, data interaction efficiency, intelligent depth and user experience. Therefore, there is a technical problem of low grounding wire management efficiency.

[0004] With respect to the above-mentioned technical problem of low efficiency in grounding wire management, no effective solution has been proposed so far. Summary of the invention

[0005] The embodiments of the present invention provide a method, a device and a storage medium for determining an adjustment strategy of a grounding wire, so as to at least solve the technical problem of low management efficiency of the grounding wire.

[0006] According to one aspect of an embodiment of the present invention, a method for determining an adjustment strategy of a grounding wire is provided. The method may include: obtaining basic attribute data of the grounding wire, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location information, and status information of the grounding wire; based on the basic attribute data, predicting the stress state of the grounding wire in a future period, wherein the stress state is used to indicate the tightness of the grounding wire; based on the stress state and the basic attribute data, predicting the fault information of the grounding wire in a future period; based on the fault information and the basic attribute data, determining the adjustment strategy of the grounding wire, wherein the adjustment strategy is used to indicate the rules to be adjusted for the grounding wire.

[0007] Optionally, based on the basic attribute data, the stress state of the grounding wire in a future time period is predicted, including: based on the basic attribute data, determining the output power and output torque of the motor corresponding to the grounding wire; inputting the basic attribute data, output power and output torque into a force data model to predict the stress state of the grounding wire, wherein the force data model is trained using the historical basic attribute data, historical output power and historical output torque of the grounding wire.

[0008] Optionally, based on the stress state and basic attribute data, the fault information of the grounding wire in a future time period is predicted, including: inputting the stress state and basic data into a fault prediction model to predict the fault information of the grounding wire in a future time period, wherein the fault prediction model is trained using the historical stress state, historical basic power and historical fault information of the grounding wire.

[0009] Optionally, based on the fault information and basic attribute data, an adjustment strategy for the grounding wire is determined, including: based on the fault information and basic attribute data, a positioning strategy for the grounding wire is determined, wherein the positioning strategy is used to indicate rules for positioning the grounding wire; according to the positioning strategy, the location information of the grounding wire is determined; based on the location information, an adjustment strategy for the grounding wire is determined.

[0010] Optionally, the method for determining the adjustment strategy of the grounding wire also includes: obtaining operation scene data of the grounding wire, wherein the operation scene data is used to indicate scene information of the management object performing operations on the grounding wire; and fusing the basic attribute data of the grounding wire with the operation scene data of the grounding wire.

[0011] Optionally, the method for determining the adjustment strategy of the grounding wire also includes: extracting performance information of the grounding wire from the basic attribute information; comparing the performance parameters in the performance information with the fault threshold to obtain a comparison result, wherein the comparison result is used to indicate the degree of proximity between the performance parameters and the fault threshold; in response to the comparison result being close, outputting fault prompt information of the grounding wire.

[0012] Optionally, the method for determining the adjustment strategy of the grounding wire further includes: acquiring a connection state between the grounding wire and the conductor; and determining and outputting a working state of the grounding wire based on the connection state.

[0013] According to another aspect of an embodiment of the present invention, a device for determining an adjustment strategy of a grounding wire is also provided. The device may include: an acquisition unit, used to acquire basic attribute data of the grounding wire, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location signal and status information of the grounding wire; a first prediction unit, used to predict the stress state of the grounding wire in a future period based on the basic attribute data, wherein the stress state is used to indicate the tightness of the grounding wire; a second prediction unit, used to predict the fault information of the grounding wire in a future period based on the stress state and the basic attribute data; a determination unit, used to determine the adjustment strategy of the grounding wire based on the fault information and the basic attribute data, wherein the adjustment strategy is used to indicate the rules to be adjusted for the grounding wire.

[0014] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method for determining the adjustment strategy of the grounding line in an embodiment of the present invention.

[0015] According to another aspect of an embodiment of the present invention, a processor is provided, which is used to run a program, wherein when the program is run, the method for determining the adjustment strategy of the grounding line in the embodiment of the present invention is executed.

[0016] According to another aspect of the embodiment of the present invention, a computer program product is provided, which includes computer instructions, and when the computer instructions are executed by a processor, the method for determining the adjustment strategy of the grounding line in the embodiment of the present invention is implemented.

[0017] In an embodiment of the present invention, basic attribute data of the grounding wire is obtained, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location information and status information of the grounding wire; based on the basic attribute data, the stress state of the grounding wire in a future time period is predicted, wherein the stress state is used to indicate the tightness of the grounding wire; based on the stress state and the basic attribute data, the fault information of the grounding wire in a future time period is predicted; based on the fault information and the basic attribute data, the adjustment strategy of the grounding wire is determined, wherein the adjustment strategy is used to indicate the rules to be adjusted for the grounding wire. In other words, the present invention predicts the stress state and fault information of the grounding wire through the basic attribute data of the grounding wire, thereby determining the adjustment strategy of the grounding wire according to the fault information and the basic attribute data, thereby solving the technical problem of low management efficiency of the grounding wire and achieving the technical effect of improving the management efficiency of the grounding wire. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 is a flow chart of a method for determining an adjustment strategy of a ground wire according to an embodiment of the present invention;

[0020] Figure 2 is a schematic diagram of a grounding wire integrated management system according to an embodiment of the present invention;

[0021] Figure 3 is a schematic diagram of a device for determining an adjustment strategy for a grounding wire according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, functional component or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, functional components or devices.

[0024] According to an embodiment of the present invention, an embodiment of a method for determining an adjustment strategy for a grounding line is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0025] Figure 1 is a flow chart of a method for determining an adjustment strategy of a ground wire according to an embodiment of the present invention. Figure 1As shown, the method may include the following steps:

[0026] Step S101, obtaining basic attribute data of the ground wire.

[0027] In the technical solution provided in the above step S101 of the present invention, the basic attribute data includes at least one of the following: environmental information, performance information, location information and status information of the grounding wire. The location information may also be referred to as high-precision location information.

[0028] In this embodiment, basic attribute data of the ground wire is obtained, wherein the environment information of the ground wire in the basic attribute data may also be environmental factor data.

[0029] Optionally, the performance information in the basic attribute data may also be parameters such as material and diameter of the grounding wire, and performance parameters; the position information may also be referred to as the position of the grounding wire, and the status information may also be referred to as the connection status of the grounding wire.

[0030] For example, advanced sensor technology is used to monitor the material, diameter and other parameters of the grounding wire in real time.

[0031] Step S102: predicting the stress state of the ground wire in a future period based on the basic attribute data.

[0032] In the technical solution provided in the above step S102 of the present invention, the stress state is used to indicate the tightness of the grounding wire, wherein the stress state can also be called tightness.

[0033] In this embodiment, after the basic attribute data of the grounding wire is acquired in step S101, the stress state of the grounding wire in a future period is predicted according to the basic attribute data.

[0034] Optionally, the output power and output torque of the motor corresponding to the grounding wire are determined based on the basic attribute data; the basic attribute data, output power and output torque are input into the force data model to predict the stress state of the grounding wire, wherein the force data model is trained using the historical basic attribute data, historical output power and historical output torque of the grounding wire. The force data model may also be referred to as a historical data model. For example, the force state of the grounding wire is predicted by using an AI tool to assist the force data model. This is only an illustrative example and does not limit the specific method for predicting the stress state of the grounding wire.

[0035] For example, by building a historical data model and combining it with the data from the real-time force feedback sensor, the optimal tightness can be intelligently predicted. By analyzing the usage of grounding wires of different materials and diameters in different environments, the system can learn and predict the most appropriate tightness range.

[0036] Step S103: predicting the fault information of the ground wire in a future period based on the stress state and the basic attribute data.

[0037] In the technical solution provided in the above step S103 of the present invention, the fault information may also be referred to as a fault type.

[0038] In this embodiment, after the stress state of the grounding wire in the future period is predicted in step S102, the fault information of the grounding wire in the future period is predicted according to the stress state and the basic attribute data.

[0039] Optionally, the stress state and basic data are input into a fault prediction model to predict the fault information of the grounding wire in a future period, wherein the fault prediction model is trained using the historical stress state, historical basic power and historical fault information of the grounding wire. The fault data model can also be called a prediction model.

[0040] For example, by analyzing historical fault data, a prediction model is established, combined with real-time visual monitoring, to predict the time and type of possible grounding wire failures.

[0041] Step S104: determining an adjustment strategy for the grounding line based on the fault information and the basic attribute data.

[0042] In the technical solution provided in the above step S104 of the present invention, the adjustment strategy is used to indicate the rule to be adjusted for the ground wire.

[0043] In this embodiment, after predicting the fault information of the grounding line in the future period in step S103, an adjustment strategy for the grounding line is determined according to the fault information and basic attribute data.

[0044] Optionally, a positioning strategy for the grounding wire is determined based on the fault information and basic attribute data, wherein the positioning strategy is used to indicate rules for positioning the grounding wire; according to the positioning strategy, the position information of the grounding wire is determined; and based on the position information, an adjustment strategy for the grounding wire is determined.

[0045] For example, the integration of multiple positioning technologies such as the Global Positioning System (GPS), Ultra-wideband (UWB), and Radio Frequency Identification (RFID) can achieve higher-precision positioning and tracking. Different positioning technologies have their own advantages in different environments. Through intelligent fusion algorithms, the most appropriate positioning technology or combination is automatically selected according to the actual environment to ensure that the location information of the ground wire can be accurately obtained in various complex environments.

[0046] For another example, based on the Geographic Information System (GIS) and AI (Artificial Intelligence) algorithm, the optimal work path planning is provided for the operators. Taking into account multiple factors such as the work task, the location of the grounding wire, and environmental factors, the optimal path is calculated through intelligent algorithms to reduce invalid movement and waiting time and improve work efficiency. For example, between multiple work points, the system can plan the shortest path based on factors such as the order of work and distance, while avoiding dangerous areas and obstacles.

[0047] Optionally, through the deep integration of multiple technologies, not only the technical problem of low efficiency of grounding wire management is solved, but also the efficiency, intelligence and safety of grounding wire management are realized, which significantly improves the overall effectiveness of grounding wire management.

[0048] It should be noted that the above embodiment can be executed by a device for determining an adjustment strategy for a ground line.

[0049] In the above steps S101 to S104 of the present invention, basic attribute data of the grounding wire is obtained, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location signal and status information of the grounding wire; based on the basic attribute data, the stress state of the grounding wire in the future time period is predicted, wherein the stress state is used to indicate the tightness of the grounding wire; based on the stress state and the basic attribute data, the fault information of the grounding wire in the future time period is predicted; based on the fault information and the basic attribute data, the adjustment strategy of the grounding wire is determined, wherein the adjustment strategy is used to indicate the rules to be adjusted for the grounding wire. In other words, the present invention predicts the stress state and fault information of the grounding wire through the basic attribute data of the grounding wire, thereby determining the adjustment strategy of the grounding wire according to the fault information and the basic attribute data, thereby solving the technical problem of low management efficiency of the grounding wire and achieving the technical effect of improving the management efficiency of the grounding wire.

[0050] The above method of this embodiment is further introduced below.

[0051] As an optional implementation method, based on the basic attribute data, the stress state of the grounding wire in a future time period is predicted, including: based on the basic attribute data, determining the output power and output torque of the motor corresponding to the grounding wire; inputting the basic attribute data, output power and output torque into the force data model to predict the stress state of the grounding wire, wherein the force data model is trained using the historical basic attribute data, historical output power and historical output torque of the grounding wire.

[0052] In this embodiment, the output power and output torque of the motor corresponding to the grounding wire are determined based on the basic attribute data; the basic attribute data, output power and output torque are input into the force data model to predict the force state of the grounding wire.

[0053] Optionally, the material, diameter and other parameters of the grounding wire are monitored in real time. The output power and torque of the motor are automatically adjusted according to these parameters through an adaptive control algorithm to achieve precise control. This can reduce energy consumption and wear, extend the life of the motor, and ensure that the grounding wire is tightened to the right degree, neither too tight to cause damage nor too loose to cause safety hazards.

[0054] As an optional implementation method, based on the stress state and basic attribute data, the fault information of the grounding wire in a future time period is predicted, including: inputting the stress state and basic data into a fault prediction model to predict the fault information of the grounding wire in a future time period, wherein the fault prediction model is trained using the historical stress state, historical basic power and historical fault information of the grounding wire.

[0055] In this embodiment, the stress state and basic data are input into the fault prediction model to predict the fault information of the ground wire in the future period.

[0056] Optionally, a deep learning algorithm is introduced to deeply analyze a large amount of stress state and basic attribute data. By learning the characteristics of different types of faults, the system can accurately identify the fault type and make predictions. For example, the insulation performance and connection status of the grounding wire are monitored in real time. Once an abnormality is found, the fault diagnosis is immediately carried out and detailed fault information is provided so that timely measures can be taken.

[0057] As an optional implementation method, an adjustment strategy for the grounding wire is determined based on fault information and basic attribute data, including: determining a positioning strategy for the grounding wire based on the fault information and basic attribute data, wherein the positioning strategy is used to indicate rules for positioning the grounding wire; determining location information of the grounding wire according to the positioning strategy; and determining an adjustment strategy for the grounding wire based on the location information.

[0058] In this embodiment, a positioning strategy for the grounding wire is determined based on fault information and basic attribute data; the position information of the grounding wire is determined according to the positioning strategy; and an adjustment strategy for the grounding wire is determined based on the position information.

[0059] For example, the Global Positioning System (GPS) is used first in open areas, while UWB and RFID positioning are combined in indoor or shielded areas to improve positioning accuracy and reliability.

[0060] As an optional implementation method, the method for determining the adjustment strategy of the grounding wire also includes: obtaining operation scene data of the grounding wire, wherein the operation scene data is used to indicate the scene information of the management object performing operations on the grounding wire; and fusing the basic attribute data of the grounding wire with the operation scene data of the grounding wire.

[0061] In this embodiment, the operating scene data of the grounding wire is obtained; the basic attribute data of the grounding wire is merged with the operating scene data of the grounding wire, that is, the basic attribute information of the grounding wire is superimposed on the actual operating scene of the grounding wire.

[0062] For example, using augmented reality (AR) technology, the location and status of the grounding wire can be superimposed on the actual operation scene. By wearing AR equipment, operators can intuitively see the location and status of the grounding wire, improving the intuitiveness and accuracy of the operation. At the same time, AR display can also provide operation guidance and safety tips to help operators complete their work better.

[0063] As an optional implementation method, the method for determining the adjustment strategy of the grounding wire also includes: obtaining the difference between the current parameter value of the performance parameter in the performance information and the target parameter value, wherein the target parameter value is the parameter value of the performance parameter when a historical fault occurs in the grounding wire; in response to the difference being within a difference threshold range, outputting fault prompt information of the grounding wire.

[0064] In this embodiment, the difference between the current parameter value and the target parameter value of the performance parameter in the performance information is obtained; when the difference is within the difference threshold range, fault prompt information of the grounding line is output.

[0065] For example, by installing environmental sensors, collecting environmental data in real time, and combining the performance parameters of the grounding wire, the degree of influence of environmental factors on the grounding wire is analyzed. The current parameter value of the performance parameter and the target parameter value are mathematically calculated to obtain the difference between the current parameter value of the performance parameter and the target parameter value in the performance information; when the difference is within the difference threshold range, the fault prompt information of the grounding wire is output, that is, according to the difference between the current parameter value of the performance parameter and the target parameter value and the fault prompt information, the system can provide corresponding adjustment suggestions to ensure that the grounding wire can maintain good performance in various environments.

[0066] As an optional implementation manner, the method for determining the adjustment strategy of the ground wire further includes: acquiring the connection status between the ground wire and the conductor; and determining and outputting the working status of the ground wire based on the connection status.

[0067] In this embodiment, the connection state between the ground wire and the conductor is obtained, and the working state of the ground wire is determined and output according to the connection state, wherein the working state of the ground wire can be a normal working state or an abnormal working state.

[0068] For example, by obtaining the connection status between the ground wire and the conductor; assuming that the ground wire and the conductor are not successfully connected, the abnormal working status of the ground wire is visualized and output, which is convenient for management personnel to manage and repair the ground wire in time.

[0069] It should be noted that the above embodiment can be executed by a device for determining an adjustment strategy for a ground line.

[0070] In this embodiment, basic attribute data of the grounding wire is obtained, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location signal and status information of the grounding wire; based on the basic attribute data, the stress state of the grounding wire in a future time period is predicted, wherein the stress state is used to indicate the tightness of the grounding wire; based on the stress state and the basic attribute data, the fault information of the grounding wire in a future time period is predicted; based on the fault information and the basic attribute data, the adjustment strategy of the grounding wire is determined, wherein the adjustment strategy is used to indicate the rules to be adjusted for the grounding wire. In other words, the present invention predicts the stress state and fault information of the grounding wire through the basic attribute data of the grounding wire, thereby determining the adjustment strategy of the grounding wire according to the fault information and the basic attribute data, thereby solving the technical problem of low management efficiency of the grounding wire and achieving the technical effect of improving the management efficiency of the grounding wire.

[0071] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0072] At present, with the continuous development of the power industry, in the electrical system, the grounding wire is an important safety device used to protect personnel and equipment from electric shock. When the electrical equipment fails or short-circuits, the grounding wire can guide the current to the ground to prevent the current from passing through the human body or equipment and causing damage or injury. The management and maintenance of the grounding wire is very important. Proper management of the grounding wire can ensure its effectiveness and reliability. Regularly check whether the grounding wire is firmly connected, whether there is damage or corrosion, etc., and repair or replace the problematic parts in time. In addition, ensure that the grounding wire is in good contact with the ground to avoid poor grounding effect due to poor contact.

[0073] In the related technologies, the traditional grounding wire management method has problems such as low efficiency and many safety hazards. Although the existing intelligent grounding wire management system has made some progress, there is still a lot of room for improvement in terms of system integration, data interaction efficiency, intelligent depth and user experience. Therefore, there is a technical problem of low grounding wire management efficiency. For the above-mentioned technical problem of low grounding wire management efficiency, no effective solution has been proposed yet.

[0074] However, the embodiment of the present invention proposes a system integration method for grounding wires, which provides a new solution for grounding wire management through innovative system integration methods and control software. It deeply integrates multiple advanced technologies such as electric one-button tightening and loosening, intelligent self-checking, high-precision positioning, real-time visual monitoring and AI-assisted decision-making to achieve efficient, intelligent and safe grounding wire management. It solves the technical problem of low efficiency in grounding wire management and achieves the technical effect of improving the efficiency of grounding wire management.

[0075] The embodiments of the present invention are further described below.

[0076] Figure 2 It is a schematic diagram of a grounding wire integrated management system according to an embodiment of the present invention. The integrated management system 200 includes: an electric one-button tensioning system module 201, an intelligent self-checking mechanism module 202, a high-precision positioning and visualization system module 203, a data exchange and control logic module 204 and a software architecture and user interaction interface module 205.

[0077] In this embodiment, the electric one-touch tension system module 201 includes intelligent adaptive drive and intelligent pre-judgment of tightness. Among them, the intelligent adaptive drive uses advanced sensor technology to monitor the material, diameter and other parameters of the grounding wire in real time. Through the adaptive control algorithm, the output power and torque of the motor are automatically adjusted according to these parameters to achieve precise control. This can reduce energy consumption and wear, extend the life of the motor, and ensure that the tightness of the grounding wire is just right, neither too tight to cause damage nor too loose to cause safety hazards.

[0078] Optionally, the system can intelligently predict the tightness by building a historical data model and combining it with the data from the real-time force feedback sensor to intelligently predict the optimal tightness. By analyzing the usage of grounding wires of different materials and diameters in different environments, the system can learn and predict the most appropriate tightness range. During operation, the motor output is continuously adjusted based on the real-time feedback force data to achieve the optimal tightness and improve the reliability and safety of the grounding wire.

[0079] Optionally, unlike the traditional fixed parameter motor drive, the electric one-touch tension system module 201 can dynamically adjust the motor parameters according to the real-time status of the grounding wire to achieve more precise control. Pre-judgment of tightness based on data analysis: Pre-judgment of tightness using historical data and real-time feedback is relatively rare in existing grounding wire management systems, providing users with higher safety and convenience.

[0080] Optionally, the intelligent self-checking mechanism module 202 includes deep learning fault diagnosis, environmental adaptability detection and preventive maintenance reminders. Among them, deep learning fault diagnosis introduces deep learning algorithms to conduct in-depth analysis of a large amount of detection data. By learning the characteristics of different types of faults, the system can accurately identify the type of fault and make predictions. For example, the insulation performance and connection status of the grounding wire are monitored in real time. Once an abnormality is found, fault diagnosis is performed immediately, and detailed fault information is provided so that timely measures can be taken.

[0081] Optionally, the environmental adaptability test considers the impact of different environmental factors (such as temperature, humidity, electromagnetic field strength, etc.) on the performance of the grounding wire, and conducts targeted testing and evaluation. By installing environmental sensors, real-time environmental data is collected, and combined with the performance parameters of the grounding wire, the degree of impact of environmental factors on the grounding wire is analyzed. Based on the evaluation results, the system can provide corresponding adjustment suggestions to ensure that the grounding wire can maintain good performance in various environments.

[0082] Optionally, preventive maintenance reminders are issued in advance based on detection data and prediction models. By analyzing historical fault data, a prediction model is established to predict the time and type of possible grounding wire failures. When the system detects that the performance parameters of the grounding wire are close to the fault threshold, maintenance reminders are issued in advance to avoid sudden failures affecting work safety.

[0083] Optionally, deep learning technology is applied to ground wire fault diagnosis to improve the accuracy and efficiency of fault identification.

[0084] Optionally, comprehensive testing and evaluation can be performed considering the impact of various environmental factors on the performance of the grounding wire to provide stronger protection for the safe use of the grounding wire.

[0085] Optionally, the high-precision positioning and visualization system module 203 includes multi-source data fusion positioning, AR augmented reality display and intelligent path planning. Among them, multi-source data fusion positioning integrates multiple positioning technologies such as GPS, UWB, RFID, etc. to achieve higher-precision positioning and tracking. Different positioning technologies have their own advantages in different environments. Through intelligent fusion algorithms, the most suitable positioning technology or combination is automatically selected according to the actual environment to ensure that the location information of the ground wire can be accurately obtained in various complex environments. For example, GPS positioning is used first in open areas, and UWB and RFID positioning are combined in indoor or sheltered areas to improve positioning accuracy and reliability.

[0086] Optionally, AR augmented reality display uses AR technology to superimpose information such as the location and status of the grounding wire into the actual operation scene. By wearing AR equipment, operators can intuitively see the location and status of the grounding wire, improving the intuitiveness and accuracy of the operation. At the same time, AR display can also provide operation guidance and safety tips to help operators complete their work better.

[0087] Optionally, intelligent path planning is based on GIS and AI algorithms to provide operators with optimal work path planning. Taking into account multiple factors such as work tasks, grounding line locations, environmental factors, etc., the optimal path is calculated through intelligent algorithms to reduce invalid movement and waiting time and improve work efficiency. For example, between multiple work points, the system can plan the shortest path based on factors such as work order and distance, while avoiding dangerous areas and obstacles.

[0088] Optionally, multi-technology fusion positioning comprehensively uses a variety of positioning technologies to achieve complementary advantages and improve positioning accuracy and reliability, which is innovative in ground wire management systems.

[0089] Optionally, AR technology can be combined with grounding wire management to provide operators with a new visual experience and improve work efficiency and safety.

[0090] Optionally, the data exchange and control logic module 204 includes blockchain data security and intelligent load balancing. Among them, blockchain data security uses blockchain technology to record key data to ensure that the data cannot be tampered with and is highly secure. The distributed ledger and encryption technology of blockchain can effectively prevent data from being tampered with or deleted, and ensure the authenticity and integrity of the data. For example, the key operation data such as the installation, removal, and detection of the grounding wire are recorded on the blockchain. Once a problem occurs, it can be traced back to the specific operation link and the person responsible, thereby improving the transparency and security of management.

[0091] Optionally, intelligent load balancing intelligently adjusts the operating frequency of each subsystem according to the system load. By real-time monitoring of the system load, such as the CPU usage rate and memory occupancy rate, the intelligent algorithm automatically adjusts the operating frequency of each subsystem to achieve optimal resource allocation. For example, when the system load is high, the operating frequency of some non-critical subsystems is reduced to ensure the normal operation of critical subsystems; when the system load is low, the working efficiency of each subsystem is appropriately improved to improve the overall performance.

[0092] Optionally, blockchain technology is applied to the data security of the grounding wire management system, providing a new solution for the authenticity and reliability of data. Intelligent load balancing optimizes system performance: Through intelligent load balancing technology, the operating frequency of each subsystem is dynamically adjusted according to the system load conditions to improve the stability and performance of the system.

[0093] Optionally, the software architecture and user interaction interface module 205 includes a microservice architecture, a personalized user interface and an AI assistant. Among them, the microservice architecture adopts a microservice architecture to split the system into multiple independent service modules, each of which can be independently developed, deployed and upgraded. This architecture improves the scalability, maintainability and flexibility of the system. For example, when a new functional module needs to be added, it is only necessary to develop the corresponding microservice and integrate it into the system without affecting the normal operation of other modules. At the same time, the microservice architecture is also convenient for troubleshooting and repair, which improves the stability of the system.

[0094] Optionally, a personalized user interface is provided based on user habits and needs. Users can adjust the interface layout, display content, and operation methods according to their own workflow and preferences. For example, operators can place commonly used function buttons in a prominent position for quick and easy operation; managers can customize reports and data analysis interfaces to better understand system operation.

[0095] Optionally, an AI assistant is integrated to provide intelligent Q&A, operation guidance and other functions. The AI ​​assistant can understand the user's questions and provide accurate answers and suggestions. For example, when a user is not familiar with a certain operation step, he can ask the AI ​​assistant questions to obtain detailed operation guidance; when the system encounters an abnormal situation, the AI ​​assistant can provide troubleshooting suggestions to reduce the user's learning cost and operation difficulty.

[0096] In this embodiment, multiple innovative technologies such as electric one-touch loosening and tightening, intelligent self-checking, high-precision positioning, real-time visual monitoring and AI-assisted decision-making are deeply integrated to achieve a highly integrated and intelligent system. The functional modules work together to provide users with a full range of grounding wire management solutions, improving the overall performance and intelligence level of the system.

[0097] Optionally, by optimizing data exchange and control logic, efficient coordination and precise control between subsystems can be ensured. The application of technologies such as intelligent fusion algorithm and adaptive control algorithm enables the system to automatically adjust parameters according to actual conditions to achieve the best working state, thus improving the efficiency and accuracy of the system.

[0098] Optionally, design friendly and intuitive user interfaces and intelligent assistance functions to enhance user experience and operational safety. The addition of personalized user interfaces, AI assistants and other functions enables users to operate and manage the system more conveniently; intelligent self-checking, early warning and other functions provide users with higher security protection.

[0099] Alternatively, it has brought disruptive changes to the field of power system safety technology, significantly improving operational efficiency and safety. The innovative technology and integrated method of the present invention provides a new idea and solution for grounding wire management, which is expected to promote the intelligent development of the power industry.

[0100] In this embodiment, a layered architecture design is adopted, and the system is divided into a hardware layer, a data acquisition layer, a data processing layer, an application layer, and a user interface layer. The hardware layer includes hardware devices such as grounding wire equipment, sensors, and motors; the data acquisition layer is responsible for collecting various data, such as location information, environmental data, and device status; the data processing layer processes and analyzes the collected data, including deep learning algorithms, intelligent fusion algorithms, etc.; the application layer implements various functional modules of the system, such as electric one-button tension and release, intelligent self-test, high-precision positioning, etc.; the user interface layer provides users with a friendly operation interface and visual display.

[0101] Optionally, communication architecture: adopt a distributed communication architecture, and each subsystem communicates through the network. Use efficient communication protocols to ensure real-time transmission and reliability of data. At the same time, in order to improve the security of the system, encryption technology is used to encrypt the communication data.

[0102] Optionally, the subsystem implements an electric one-touch tension system: design and develop motor drive circuits and control algorithms to achieve intelligent adaptive drive and intelligent pre-judgment of tension. Use high-precision sensor technology to monitor the state and parameters of the ground wire in real time to provide accurate data support for motor control. At the same time, optimize the design of the motor to improve its efficiency and reliability.

[0103] Optionally, intelligent self-check mechanism: develop deep learning algorithms and environmental adaptability detection modules to realize fault diagnosis, environmental detection and preventive maintenance reminder functions. Establish a historical fault database, continuously optimize deep learning algorithms through learning and analysis of large amounts of data, and improve the accuracy and efficiency of fault diagnosis. At the same time, install environmental sensors to collect environmental data in real time, and analyze and evaluate them.

[0104] Optionally, a large-scale historical fault database is established to continuously optimize the deep learning algorithm through learning and analysis of a large amount of data. At the same time, transfer learning, reinforcement learning and other technologies are used to improve the generalization ability and adaptability of the algorithm.

[0105] Optionally, high-precision positioning and visualization system: integrate multiple positioning technologies, develop intelligent fusion algorithms, and realize multi-source data fusion positioning functions. Use AR technology to develop AR augmented reality display modules to provide operators with intuitive visualization experience. Combine GIS and AI algorithms to develop intelligent path planning modules to provide operators with optimal operation path planning.

[0106] Optionally, data fusion between different positioning technologies is a technical difficulty. Intelligent fusion algorithms are used to automatically select the most appropriate positioning technology or combination based on the characteristics and advantages of different positioning technologies. At the same time, algorithms such as Kalman filtering and particle filtering are used to fuse multi-source data to improve positioning accuracy and stability.

[0107] Optionally, data exchange and control logic: Use blockchain technology to develop data security modules to ensure that key data cannot be tampered with and is highly secure. Develop intelligent load balancing algorithms to automatically adjust the operating frequency of each subsystem according to the system load to achieve optimal resource allocation. -Software architecture and user interaction interface: Use microservice architecture to develop microservices for each functional module. Design personalized user interfaces and customize them according to user needs. Integrate AI assistants to develop intelligent question-and-answer and operation guidance functions.

[0108] Optionally, communication protocol development: Select appropriate communication protocols: Select efficient and reliable communication protocols according to the needs and characteristics of the system. For example, the MQTT (Message Queue Telemetry Transport) protocol can be used to achieve real-time communication between devices; the HTTP (Hypertext Transfer Protocol) protocol can be used to achieve communication between the user interface and the server.

[0109] Optionally, data format definition: Define a unified data format to ensure that data between subsystems can be correctly transmitted and parsed. Use common data formats such as JSON (JavaScript Object Notation) to facilitate data storage and processing.

[0110] Optionally, communication security guarantee: encryption technology is used to encrypt communication data to ensure the security of communication. At the same time, an identity authentication mechanism is established to prevent illegal users from accessing the system.

[0111] Optionally, the control algorithm is written: Electric one-button tension control algorithm: According to the material, diameter and other parameters of the grounding wire, as well as the real-time force feedback data, write the control algorithm of intelligent adaptive drive and intelligent prediction of tightness. Use classic control algorithms such as PID (proportional-integral-differential) control algorithm, combined with intelligent control algorithms such as fuzzy control and neural network control to achieve precise control.

[0112] Optionally, intelligent self-check algorithm: Write deep learning fault diagnosis algorithm and environmental adaptability detection algorithm. Use deep learning frameworks such as TensorFlow, PyTorch, etc. to develop and train the algorithm. At the same time, combine sensor data and historical fault data to continuously optimize the algorithm and improve the accuracy and efficiency of fault diagnosis.

[0113] Optionally, high-precision positioning algorithm: develop multi-source data fusion positioning algorithm, automatically select the most suitable positioning technology or combination according to the characteristics and advantages of different positioning technologies. Use algorithms such as Kalman filter and particle filter to improve positioning accuracy and stability.

[0114] Optionally, intelligent path planning algorithm: Combine GIS data and job task requirements to write an intelligent path planning algorithm. Use classic path planning algorithms such as AI algorithm and Dijkstra algorithm, combined with AI algorithms such as genetic algorithm and ant colony algorithm, to achieve optimal path planning. - Intelligent load balancing algorithm: Real-time monitoring of system load conditions, automatically adjust the working frequency of each subsystem according to the load conditions. Use methods such as dynamic adjustment of weights and priorities to achieve optimal resource allocation.

[0115] Optionally, user interaction interface design: interface layout design, design a friendly and intuitive user interface layout according to user needs and operating habits. Put commonly used function buttons and information display areas in prominent positions to facilitate user operation and viewing. At the same time, use concise and clear icons and text to improve the readability and ease of use of the interface.

[0116] Visual display design: Use visualization technologies such as charts, maps, and AR to intuitively display information such as the location, status, and operation path of the grounding wire to users. For example, use a map to display the location distribution of the grounding wire, use a chart to display the equipment status parameters, and use AR to display the grounding wire information in the actual operation scene.

[0117] Optionally, operation process design: design simple and smooth operation processes to reduce the user's operation steps and difficulty. For example, use one-click operation, wizard-style operation, etc. to guide users to complete various tasks. At the same time, provide operation prompts and error feedback to help users operate correctly.

[0118] In this embodiment, various functions of the system are tested, including electric one-touch loosening and tightening, intelligent self-checking, high-precision positioning, visual monitoring, AI-assisted decision-making, etc. It ensures that various functions can operate normally and meet the design requirements.

[0119] Optionally, performance test: test the performance of the system, including positioning accuracy, response time, data transmission rate and other indicators. Through actual testing, evaluate the performance of the system to ensure that the system can meet the needs of actual applications.

[0120] Optionally, reliability testing: Test the reliability of the system, including stability, fault tolerance, recoverability, etc. Evaluate the reliability of the system through long-term operation testing, fault simulation testing, etc., to ensure that the system can run stably in various complex environments.

[0121] Optionally, security testing: Test the security of the system, including data security, communication security, equipment security, etc. Use vulnerability scanning, penetration testing and other methods to evaluate the security of the system and ensure that the system can resist various security attacks.

[0122] Optionally, expected effect: Through the above tests, it is expected that the system can realize various functions, has high performance and reliability, and can provide safe, efficient and intelligent grounding wire management solutions for power operations. At the same time, the system has a user-friendly interface and is easy to operate, which can improve the work efficiency and satisfaction of users.

[0123] In this embodiment, a new solution is provided for grounding wire management through innovative system integration methods and control software. A number of advanced technologies such as electric one-touch loosening and tightening, intelligent self-checking, high-precision positioning, real-time visual monitoring and AI-assisted decision-making are deeply integrated to achieve efficient, intelligent and safe grounding wire management. The technical problem of low efficiency of grounding wire management is solved, and the technical effect of improving the efficiency of grounding wire management is achieved.

[0124] According to an embodiment of the present invention, a device for determining an adjustment strategy for a grounding wire is also provided. It should be noted that the device for determining an adjustment strategy for a grounding wire can be used to execute the method for determining an adjustment strategy for a grounding wire in the method embodiment.

[0125] Figure 3 is a schematic diagram of a device for determining an adjustment strategy for a grounding wire according to an embodiment of the present invention. Figure 3 As shown, the device 300 for determining the adjustment strategy of the ground line may include: an acquisition unit 301 , a first prediction unit 302 , a second prediction unit 303 and a determination unit 304 .

[0126] The acquisition unit 301 is used to acquire basic attribute data of the grounding wire, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location information and status information of the grounding wire.

[0127] The first prediction unit 302 is used to predict the stress state of the grounding wire in a future period based on the basic attribute data, wherein the stress state is used to indicate the tightness of the grounding wire.

[0128] The second prediction unit 303 is used to predict the fault information of the ground wire in a future period based on the stress state and the basic attribute data.

[0129] The determination unit 304 is used to determine an adjustment strategy for the grounding wire based on the fault information and the basic attribute data, wherein the adjustment strategy is used to indicate a rule for adjusting the grounding wire.

[0130] Optionally, the first prediction unit 302 may include: a first determination module, used to determine the output power and output torque of the motor corresponding to the grounding wire based on basic attribute data; a first prediction module, used to input the basic attribute data, output power and output torque into a force data model to predict the stress state of the grounding wire, wherein the force data model is trained using historical basic attribute data, historical output power and historical output torque of the grounding wire.

[0131] Optionally, the second prediction unit 303 may include: a second prediction module, used to input the stress state and basic data into a fault prediction model to predict the fault information of the grounding wire in a future period, wherein the fault prediction model is trained using the historical stress state, historical basic power and historical fault information of the grounding wire.

[0132] Optionally, the determination unit 304 may include: a second determination module, used to determine a locating strategy for the grounding wire based on fault information and basic attribute data, wherein the locating strategy is used to indicate rules for locating the grounding wire; a third determination module, used to determine the location information of the grounding wire according to the locating strategy; and a fourth determination module, used to determine an adjustment strategy for the grounding wire based on the location information.

[0133] Optionally, the device 300 for determining the adjustment strategy of the grounding wire may further include: a first acquisition unit, used to obtain the difference between the current parameter value of the performance parameter in the performance information and the target parameter value, wherein the target parameter value is the parameter value of the performance parameter when a historical fault occurs in the grounding wire; and a first output unit, used to output fault prompt information of the grounding wire in response to the difference being within a difference threshold range.

[0134] Optionally, the device 300 for determining the adjustment strategy of the grounding wire may further include: a second acquisition unit, used to obtain the difference between the current parameter value of the performance parameter in the performance information and the target parameter value, wherein the target parameter value is the parameter value of the performance parameter when a historical fault occurs in the grounding wire; and a second output unit, used to output fault prompt information of the grounding wire in response to the difference being within a difference threshold range.

[0135] Optionally, the device 300 for determining the adjustment strategy of the grounding wire may further include: a third acquisition unit, used to acquire the connection status between the grounding wire and the conductor; and a third output unit, used to determine and output the working status of the grounding wire based on the connection status.

[0136] In this embodiment, basic attribute data of the grounding wire is obtained, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location signal and status information of the grounding wire; based on the basic attribute data, the stress state of the grounding wire in a future time period is predicted, wherein the stress state is used to indicate the tightness of the grounding wire; based on the stress state and the basic attribute data, the fault information of the grounding wire in a future time period is predicted; based on the fault information and the basic attribute data, the adjustment strategy of the grounding wire is determined, wherein the adjustment strategy is used to indicate the rules to be adjusted for the grounding wire. In other words, the present invention predicts the stress state and fault information of the grounding wire through the basic attribute data of the grounding wire, thereby determining the adjustment strategy of the grounding wire according to the fault information and the basic attribute data, thereby solving the technical problem of low management efficiency of the grounding wire and achieving the technical effect of improving the management efficiency of the grounding wire.

[0137] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The storage medium includes a stored program, wherein the program executes the method for determining the adjustment strategy of the grounding line in the method embodiment.

[0138] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run, the method for determining the adjustment strategy of the grounding line in the method embodiment is executed.

[0139] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions are executed by a processor, the method for determining the adjustment strategy of the grounding line in the method embodiment is implemented.

[0140] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0141] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0142] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0143] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0144] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0145] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent functional component, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software functional component, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc., which can store program codes.

[0146] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining an adjustment strategy for a grounding line, characterized in that: include: Acquire basic attribute data of the grounding wire, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location information, and status information of the grounding wire; Based on the basic attribute data, predict the stress state of the grounding wire in a future period, wherein the stress state is used to indicate the tightness of the grounding wire; Based on the stress state and the basic attribute data, predicting fault information of the connection line in the future period; An adjustment strategy for the grounding wire is determined based on the fault information and the basic attribute data, wherein the adjustment strategy is used to indicate a rule for adjusting the grounding wire.

2. The method according to claim 1, characterized in that Based on the basic attribute data, predicting the stress state of the ground wire in a future period includes: Based on the basic attribute data, determining the output power and output torque of the motor corresponding to the connection line; The basic attribute data, the output power and the output torque are input into a force data model to predict the force state of the grounding wire, wherein the force data model is trained using the historical basic attribute data, historical output power and historical output torque of the grounding wire.

3. The method according to claim 1, characterized in that Predicting fault information of the connection line in the future period based on the stress state and the basic attribute data includes: The stress state and the basic data are input into a fault prediction model to predict the fault information of the grounding wire in the future period, wherein the fault prediction model is trained using the historical stress state, historical basic power and historical fault information of the grounding wire.

4. The method according to claim 1, characterized in that Determining an adjustment strategy for the grounding wire based on the fault information and the basic attribute data includes: Determining a positioning strategy for the connection line based on the fault information and the basic attribute data, wherein the positioning strategy is used to indicate a rule for positioning the connection line; According to the positioning strategy, determining the location information of the grounding wire; Based on the position information, an adjustment strategy for the ground line is determined.

5. The method according to claim 1, characterized in that: The method further comprises: Acquire operation scene data of the grounding wire, wherein the operation scene data is used to indicate scene information of the management object performing operations on the grounding wire; The basic attribute data of the grounding wire is integrated with the operation scene data of the grounding wire.

6. The method according to claim 1, characterized in that The method further comprises: Acquire a difference between a current parameter value and a target parameter value of a performance parameter in the performance information, wherein the target parameter value is a parameter value of the performance parameter when a historical fault occurs on the grounding wire; In response to the difference being within a difference threshold range, fault prompt information of the ground line is output.

7. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: Obtaining the connection status between the ground wire and the conductor; Based on the connection status, the working status of the ground line is determined and output.

8. A device for determining a grounding line adjustment strategy, characterized in that: include: An acquisition unit, configured to acquire basic attribute data of a grounding wire, wherein the basic attribute data includes at least one of the following: environmental information, performance information, location signal, and status information of the grounding wire; A first prediction unit, configured to predict the stress state of the grounding wire in a future period based on the basic attribute data, wherein the stress state is used to indicate the tightness of the grounding wire; A second prediction unit, configured to predict fault information of the connection line within the future period based on the stress state and the basic attribute data; A determination unit is used to determine an adjustment strategy for the grounding wire based on the fault information and the basic attribute data, wherein the adjustment strategy is used to indicate a rule for adjusting the grounding wire.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product comprises computer instructions, which implement the method according to any one of claims 1 to 6 when executed by a processor.

Images