Grounding resistance monitoring and early warning system
By deploying excitation measurement and monitoring sensing modules in the grounding grid, and combining soil environmental parameters, the monitoring cycle and grounding resistance are dynamically adjusted, solving the problems of timeliness and response efficiency in grounding resistance monitoring, and realizing predictive maintenance and emergency early warning of the grounding grid.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-24
- Publication Date
- 2026-04-07
AI Technical Summary
Existing grounding resistance monitoring technologies cannot promptly capture anomalies caused by sudden changes in grounding resistance or drastic changes in environmental parameters, resulting in insufficient monitoring timeliness and low response efficiency, making it difficult to predict potential risks in advance and provide early warning buffer time.
The system employs an excitation measurement module to send multiple excitation measurement signals at different frequencies, combines this with a monitoring and sensing module to collect soil environmental parameters, uses an early warning management module to assess the health and predict the trend of grounding resistance, dynamically adjusts the monitoring cycle, and utilizes an adjustable rheostat to control the grounding resistance.
It enables early warning before anomalies occur, improving monitoring timeliness and response efficiency, reducing sensor energy consumption, issuing emergency warnings when resistance exceeds the standard and identifying potential risks in advance, thus reserving sufficient response time for maintenance.
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Figure CN121805686A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of grounding resistance monitoring, and specifically relates to a grounding resistance monitoring and early warning system. Background Technology
[0002] As the safety cornerstone of various projects such as power systems, communication base stations, and industrial facilities, the grounding grid's grounding resistance value directly affects the operational stability of equipment and the safety of personnel. Oxidation and corrosion of the grounding circuit itself, loose connections, or the surrounding environment can all cause the resistance value to gradually deteriorate. When the grounding resistance exceeds the safety threshold, overvoltages generated by lightning strikes, equipment leakage, etc., cannot be discharged in time, which can easily lead to serious accidents such as equipment insulation breakdown, signal interference, or even electric shock to personnel. Therefore, real-time and accurate monitoring of the grounding resistance of each circuit of the grounding grid, and early warning management, have become core requirements for ensuring the safe operation of various infrastructures. Current grounding resistance monitoring technology relies solely on comparing the current resistance value with a threshold. If the current grounding resistance is within the safe threshold but may exceed the installation threshold later, it is difficult to predict potential risks in advance and provide a warning buffer time. Furthermore, the monitoring timeliness is insufficient. The fixed-cycle monitoring mode cannot capture anomalies in a timely manner when grounding resistance changes abruptly or environmental parameters change drastically. During the stable operation phase of the equipment, there is a problem of wasted monitoring resources. After an anomaly is detected, manual intervention is required, which cannot ensure the normal operation of the grounding network in a timely manner, resulting in low response efficiency. Summary of the Invention
[0003] To address the aforementioned problems and technical deficiencies, this application adopts the following technical solution: a grounding resistance monitoring and early warning system, comprising: The excitation measurement module is deployed and installed on each grounding loop of the grounding grid, and sends multiple excitation measurement signals of different frequencies to generate induced current in the grounding loop and grounding electrode; The monitoring and sensing module is deployed and buried in the soil around the grounding electrode to form a monitoring network that matches the grounding grid. It receives induced current and collects the ambient temperature and humidity of the surrounding soil. The early warning management module is used to acquire the induced current, ambient temperature and humidity received or collected by the monitoring and sensing module, calculate the grounding resistance value of the grounding loop, make a health judgment on the grounding resistance based on the calculation results, and take corresponding early warning measures to manage the grounding resistance in the grounding grid.
[0004] Preferably, the grounding resistance value of the calculated grounding loop is the induced current received first. The induced current generates an induced voltage in the monitoring and sensing module, and the original measured resistance is calculated based on the induced voltage and the resistance of the monitoring and sensing module itself. R m =U0 / I c -R0 Among them, R m is the original measured resistance, U0 is the induced voltage generated by the monitoring circuit in the monitoring and sensing module, I c is the current value generated by the monitoring circuit of the monitoring and sensing module itself after receiving the induced current, and R0 is the resistance of the monitoring and sensing module itself; Then, it is calculated by combining the ambient temperature and humidity collected at the same moment as the received induced current to obtain the actual resistance value; The calculation formula for the actual resistance value is as follows: R c =R m *[1 + k1*(T - T0) + k2*(H - H0) + k3*(ρ - ρ0) / ρ0 + k4*I c Among them, R c is the actual resistance value, T is the soil temperature, T0 is the soil reference temperature, α is, H is the soil humidity, H0 is the soil reference humidity, ρ is the soil resistivity, ρ0 is the soil reference resistivity, and k1, k2, k3, and k4 are the influence correction coefficients of soil temperature, soil humidity, soil resistivity, and current respectively.
[0005] Furthermore, the soil reference temperature, soil reference humidity, and soil reference resistivity are all the averages of the current monitoring and sensing module under the same usage cycle and the same usage environmental conditions.
[0006] Furthermore, the excitation measurement module sends excitation measurement signals using a dynamic monitoring period, and the calculation formula for the dynamic monitoring period is as follows: T m =T b *[k5 / 丨R c -R t 丨 + k6 / ΔE] ΔE 2 =ΔT 2 +ΔH 2 +Δρ 2 Among them, T m is the time interval between the next sending of the excitation measurement signal and the current sending of the excitation measurement signal, which is used as the dynamic monitoring period, T b is the preset reference monitoring period, R t Here, ΔE is the preset safe resistance threshold, ΔT is the soil temperature change rate, representing the difference between the soil temperature collected this time and the soil temperature collected last time, ΔH is the soil moisture change rate, representing the difference between the soil moisture collected this time and the soil moisture collected last time, Δρ is the soil resistivity change rate, representing the difference between the soil resistivity collected this time and the soil resistivity collected last time, k5 is the resistance health weighting factor, k6 is the environmental impact weighting factor, and k5+k6=1.
[0007] Furthermore, the health assessment of the grounding resistance is performed by assessing the current actual resistance value, the trend of grounding resistance change, and the predicted resistance value after the target monitoring period. If the condition does not meet the health strategy, an alarm signal is issued. If the condition meets the health strategy, a trend prediction is then performed based on the current actual resistance value.
[0008] Furthermore, the trend prediction and predicted resistance value are calculated based on the current actual resistance value to determine the resistance value for the target monitoring period. The formula for calculating the predicted resistance value is as follows: R p (Δt) i =R c +∑(ΔR) c / T m *Δt i ) Δt i =T b *i Among them, R p (Δt) i Let ΔR be the predicted resistance after the i-th reference monitoring period. c ΔR is the difference between the actual resistance value calculated this time and the actual resistance value calculated last time. c / T m Let Δt be the current rate of change of resistance, and let it be the trend of change. i To achieve the i-th baseline monitoring period T b The time spent, i=1,2,...n.
[0009] Furthermore, the health assessment includes: The actual resistance value R c With safety resistance threshold R t Perform the calculation; if R c >R t If so, an emergency warning will be issued; Otherwise, set the safety resistance threshold R. t Input R into the formula for calculating the predicted resistance value. p (Δt) i =R tCalculate the current grounding resistance to reach the safe resistance threshold R. t Remaining time Δt i ; Based on the remaining time Δt i The health index of the target grounding loop is calculated using the following formula: HI=α*Δt i +β*R c +γ*ΔE Where HI is the health index, α is the time dynamic weight, β is the resistance dynamic weight, and γ is the environmental dynamic weight, which is dynamically adjusted according to the dynamic monitoring cycle, and α+β+γ=1. If the health index is lower than the health threshold, an emergency warning will be issued.
[0010] Preferably, the management of the grounding resistance in the grounding grid includes: The excitation measurement module is equipped with an adjustable rheostat, which is adjusted according to the grounding resistance R of the grounding loop in which the excitation measurement module is located. c and remaining time Δt i The adjustable rheostat in the excitation measurement module is wirelessly controlled and adjusted to control and adjust the grounding resistance of the grounding loop.
[0011] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the contents of a grounding resistance monitoring and early warning system as described above.
[0012] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the contents of a grounding resistance monitoring and early warning system as described above.
[0013] Compared to existing technologies, the beneficial effects of this application are as follows: (1) This application adjusts the monitoring frequency by dynamically monitoring the cycle, which can ensure the timeliness of data by high-frequency acquisition when the resistance is close to the safety threshold or when the environment fluctuates drastically, and can also ensure the output of low-frequency monitoring and excitation measurement signals when the environment is stable and the resistance does not fluctuate, thereby reducing sensor energy consumption and improving service life. (2) This application not only makes a health judgment on the current resistance value, but also predicts the resistance value after the target period based on the current resistance change rate through trend prediction. It can not only provide an alarm after the anomaly occurs, but also provide an early warning before the anomaly occurs. By calculating the remaining time required to reach the safety threshold, it provides valuable decision-making and response time for maintenance personnel and realizes predictive maintenance. (3) This application takes into account the remaining time for resistance to meet the standard, the current resistance value and the rate of change of the environment, and adapts to the judgment needs under different monitoring cycles through dynamic weight adjustment. It conducts multi-factor assessment, which can issue an emergency warning when the resistance exceeds the standard, and can also identify potential risks in advance, leaving sufficient response time for the replacement or maintenance of the grounding grid. Attached Figure Description
[0014] In the attached diagram: Figure 1 This is a schematic diagram of the system structure according to an embodiment of this application; Figure 2 This is a schematic diagram of the device structure according to an embodiment of this application. Detailed Implementation
[0015] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of this application, but not all embodiments. Generally, the components of the embodiments of this application described and shown in the accompanying drawings can be arranged and designed in various different configurations. Example 1
[0016] like Figure 1 As shown, a grounding resistance monitoring and early warning system is characterized by comprising: The excitation measurement module is deployed and installed on each grounding loop of the grounding grid, and sends multiple excitation measurement signals of different frequencies to generate induced current in the grounding loop and grounding electrode; The monitoring and sensing module is deployed and buried in the soil around the grounding electrode to form a monitoring network that matches the grounding grid. It receives induced current and collects the ambient temperature and humidity of the surrounding soil. The early warning management module is used to acquire the induced current, ambient temperature and humidity received or collected by the monitoring and sensing module, calculate the grounding resistance value of the grounding loop, make a health judgment on the grounding resistance based on the calculation results, and take corresponding early warning measures to manage the grounding resistance in the grounding grid.
[0017] The grounding resistance value of the grounding loop is calculated based on the first received induced current. The induced current generates an induced voltage in the monitoring and sensing module. The original measured resistance is calculated based on the induced voltage and the resistance of the monitoring and sensing module itself. R m =U0 / I c -R0 Among them, R m U is the original measured resistance, U0 is the induced voltage generated by the monitoring circuit within the monitoring and sensing module, and I is the original measured resistance. cTo monitor the current value generated by the self-monitoring circuit of the monitoring and sensing module after receiving the induced current, R0 is the resistance of the monitoring and sensing module itself; Combined with the ambient temperature and humidity collected at the same time as the received induced current for calculation, the actual resistance value is obtained; The calculation formula for the actual resistance value is as follows: R c =R m *[1 + k1*(T - T0) + k2*(H - H0) + k3*(ρ - ρ0) / ρ0 + k4*I c Among them, R c is the actual resistance value, T is the soil temperature, T0 is the soil reference temperature, α is, H is the soil humidity, H0 is the soil reference humidity, ρ is the soil resistivity, ρ0 is the soil reference resistivity, and k1, k2, k3, and k4 are the influence correction coefficients of soil temperature, soil humidity, soil resistivity, and current respectively.
[0018] The soil reference temperature, soil reference humidity, and soil reference resistivity are all the means of the current monitoring and sensing module under the same usage cycle and the same usage environmental conditions.
[0019] The excitation measurement module sends excitation measurement signals using a dynamic monitoring period. The calculation formula for the dynamic monitoring period is as follows: T m =T b *[k5 / 丨R c -R t 丨 + k6 / ΔE] ΔE 2 =ΔT 2 +ΔH 2 +Δρ 2 Among them, T m is the time interval between the next transmission of the excitation measurement signal and the current transmission of the excitation measurement signal, which is used as the dynamic monitoring period, T b is the preset reference monitoring period, R t is the preset safe resistance threshold, ΔE is the comprehensive change rate of environmental parameters, ΔT is the soil temperature change rate, representing the difference between the soil temperature collected this time and the soil temperature collected last time, ΔH is the soil humidity change rate, representing the difference between the soil humidity collected this time and the soil humidity collected last time, Δρ is the soil resistivity change rate, representing the difference between the soil resistivity collected this time and the soil resistivity collected last time, k5 is the resistance health weight factor, k6 is the environmental impact weight factor, and k5 + k6 = 1.
[0020] The health assessment of grounding resistance involves evaluating the current actual resistance value, the trend of grounding resistance changes, and the predicted resistance value after the target monitoring cycle. If the condition does not meet the health strategy, an alarm signal is issued. If the condition meets the health strategy, a trend prediction is then made based on the current actual resistance value.
[0021] Trend prediction and predicted resistance value are calculated based on the current actual resistance value to determine the resistance value for the target monitoring period. The formula for calculating the predicted resistance value is as follows: R p (Δt) i =R c +∑(ΔR) c / T m *Δt i ) Δt i =T b *i Among them, R p (Δt) i Let ΔR be the predicted resistance after the i-th reference monitoring period. c ΔR is the difference between the actual resistance value calculated this time and the actual resistance value calculated last time. c / T m Let Δt be the current rate of change of resistance, and let it be the trend of change. i To achieve the i-th baseline monitoring period T b The time spent, i=1,2,...n.
[0022] Health assessment includes: The actual resistance value R c With safety resistance threshold R t Perform the calculation; if R c >R t If so, an emergency warning will be issued; Otherwise, set the safety resistance threshold R. t Input R into the formula for calculating the predicted resistance value. p (Δt) i =R t Calculate the current grounding resistance to reach the safe resistance threshold R. t Remaining time Δt i ; Based on the remaining time Δt i The health index of the target grounding loop is calculated using the following formula: HI=α*Δt i +β*R c +γ*ΔE Where HI is the health index, α is the time dynamic weight, β is the resistance dynamic weight, and γ is the environmental dynamic weight, which is dynamically adjusted according to the dynamic monitoring cycle, and α+β+γ=1. If the health index is lower than the health threshold, an emergency warning will be issued.
[0023] Managing the grounding resistance in the grounding grid includes: The excitation measurement module is equipped with an adjustable rheostat, which is adjusted according to the grounding resistance R of the grounding loop in which the excitation measurement module is located. c and remaining time Δt i The adjustable rheostat in the excitation measurement module is wirelessly controlled and adjusted to control and adjust the grounding resistance of the grounding loop. Example 2
[0024] like Figure 2 As shown, from a hardware perspective, this application provides an embodiment of an electronic device comprising all or part of a grounding resistance monitoring and early warning system. The electronic device includes a service processor and a distributed memory. The service processor is connected to the memory, and the distributed memory stores a service self-management program configured to store machine-readable instructions. The service processor executes the service self-management program, and the instructions, when executed by the processor, implement a grounding resistance monitoring and early warning system as described above.
[0025] From a hardware perspective, in order to effectively improve the flexibility, versatility, and efficiency of data acquisition, this application provides an embodiment of an electronic device comprising all or part of a grounding resistance monitoring and early warning system. The electronic device specifically includes the following components: The system comprises a processor, memory, a communications interface, and a bus; wherein the processor, memory, and communications interface communicate with each other via the bus; the communications interface is used to realize information transmission between the core business system, user terminals, and related databases of a grounding resistance monitoring and early warning system; the logic controller can be a desktop computer, tablet computer, or mobile terminal, etc., but this embodiment is not limited to these.
[0026] In this embodiment, the logic controller can be implemented with reference to an embodiment of a grounding resistance monitoring and early warning system, the content of which is incorporated herein, and repeated parts will not be described again.
[0027] It is understood that the user terminal may include smartphones, tablet electronic devices, network set-top boxes, portable computers, desktop computers, personal digital assistants (PDAs), in-vehicle devices, smart wearable devices, etc., wherein the smart wearable devices may include smart glasses, smartwatches, smart bracelets, etc.
[0028] In practical applications, a portion of a grounding resistance monitoring and early warning system can be executed on the electronic device side as described above, or all operations can be completed in the client device. The choice can be made based on the processing power of the client device and the limitations of the user's usage scenario, and this application does not impose any limitations on this. If all operations are completed in the client device, the client device may further include a processor.
[0029] The aforementioned client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and in other implementation scenarios, it may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, a server cluster composed of multiple servers, or a server structure of a distributed device. Example 3
[0030] Embodiments of this application also provide a computer-readable storage medium capable of implementing a ground resistance monitoring and early warning system with a server or client as the execution subject in the above embodiments. The computer-readable storage medium stores a computer program that, when executed by a processor, implements all the contents of the ground resistance monitoring and early warning system with a server or client as the execution subject in the above embodiments.
[0031] The embodiments of this application may be provided as methods, apparatus, or computer program products. Therefore, this application may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0032] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0033] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0034] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0035] The embodiments described above are merely preferred embodiments of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications, improvements, and substitutions without departing from the concept of this application, and these all fall within the protection scope of this application.
Claims
1. A grounding resistance monitoring and early warning system, characterized in that, include: The excitation measurement module is deployed and installed on each grounding loop of the grounding grid, and sends multiple excitation measurement signals of different frequencies to generate induced current in the grounding loop and grounding electrode; The monitoring and sensing module is deployed and buried in the soil around the grounding electrode to form a monitoring network that matches the grounding grid. It receives induced current and collects the ambient temperature and humidity of the surrounding soil. The early warning management module is used to acquire the induced current, ambient temperature and humidity received or collected by the monitoring and sensing module, calculate the grounding resistance value of the grounding loop, make a health judgment on the grounding resistance based on the calculation results, and take corresponding early warning measures to manage the grounding resistance in the grounding grid.
2. The grounding resistance monitoring and early warning system according to claim 1, characterized in that, The grounding resistance value of the calculated grounding loop is the induced current received first. The induced current generates an induced voltage in the monitoring and sensing module. The original measured resistance is calculated based on the induced voltage and the resistance of the monitoring and sensing module itself. R m =U0 / I c -R0 Among them, R m U is the original measured resistance, U0 is the induced voltage generated by the monitoring circuit within the monitoring and sensing module, and I is the original measured resistance. c R0 is the resistance of the sensing module itself, which is used to monitor the current value generated by its own monitoring circuit after the sensing module receives the induced current. The actual resistance value is then calculated by combining the ambient temperature and humidity collected simultaneously with the received induced current. The formula for calculating the actual resistance value is as follows: R c =R m *[1+k1*(T-T0)+k2*(H-H0)+k3*(ρ-ρ0) / ρ0+k4*I c ] Among them, R c denoted as the actual resistance value, T as the soil temperature, T0 as the soil reference temperature, α as , H as the soil moisture, H0 as the soil reference moisture, ρ as the soil resistivity, ρ0 as the soil reference resistivity, and k1, k2, k3, and k4 as correction coefficients for the influence of soil temperature, soil moisture, soil resistivity, and current, respectively.
3. The grounding resistance monitoring and early warning system according to claim 2, characterized in that, The soil reference temperature, soil reference humidity, and soil reference resistivity are all averaged values obtained by the current monitoring and sensing module under the same usage period and environmental conditions.
4. A grounding resistance monitoring and early warning system according to claim 2, characterized in that, The excitation measurement module sends excitation measurement signals using a dynamic monitoring period, and the dynamic monitoring period is calculated using the following formula: T m =T b *[k5 / 丨R c -R t 丨+k6 / ΔE] DE 2 =ΔT 2 +ΔH 2 +Dr 2 Among them, T m The time interval between the next transmission of the excitation measurement signal and the current transmission of the excitation measurement signal is taken as the dynamic monitoring period, T. b R is the preset baseline monitoring cycle. t Here, ΔE is the preset safe resistance threshold, ΔT is the soil temperature change rate, representing the difference between the soil temperature collected this time and the soil temperature collected last time, ΔH is the soil moisture change rate, representing the difference between the soil moisture collected this time and the soil moisture collected last time, Δρ is the soil resistivity change rate, representing the difference between the soil resistivity collected this time and the soil resistivity collected last time, k5 is the resistance health weighting factor, k6 is the environmental impact weighting factor, and k5+k6=1.
5. A grounding resistance monitoring and early warning system according to claim 4, characterized in that, The health assessment of the grounding resistance involves evaluating the current actual resistance value, the trend of grounding resistance changes, and the predicted resistance value after the target monitoring period. If the condition does not meet the health strategy, an alarm signal is issued. If the condition meets the health strategy, a trend prediction is then performed based on the current actual resistance value.
6. A grounding resistance monitoring and early warning system according to claim 5, characterized in that, The trend prediction and predicted resistance value are calculated based on the current actual resistance value to determine the resistance value for the target monitoring period. The formula for calculating the predicted resistance value is as follows: R p (Δt i )=R c +∑(ΔR c / T m *Δt i ) Δt i =T b *i Among them, R p (Δt) i Let ΔR be the predicted resistance after the i-th reference monitoring period. c ΔR is the difference between the actual resistance value calculated this time and the actual resistance value calculated last time. c / T m Let Δt be the current rate of change of resistance, and let it be the trend of change. i To achieve the i-th baseline monitoring period T b The time spent, i=1,2,...n.
7. A grounding resistance monitoring and early warning system according to claim 6, characterized in that, The health assessment includes: The actual resistance value R c With safety resistance threshold R t Perform the calculation; if R c >R t If so, an emergency warning will be issued; Otherwise, set the safety resistance threshold R. t Input R into the formula for calculating the predicted resistance value. p (Δt) i =R t Calculate the current grounding resistance to reach the safe resistance threshold R. t Remaining time Δt i ; Based on the remaining time Δt i The health index of the target grounding loop is calculated using the following formula: HI=α*Δt i +β*R c +γ*ΔE Where HI is the health index, α is the time dynamic weight, β is the resistance dynamic weight, and γ is the environmental dynamic weight, which is dynamically adjusted according to the dynamic monitoring cycle, and α+β+γ=1. If the health index is lower than the health threshold, an emergency warning will be issued.
8. A grounding resistance monitoring and early warning system according to claim 1, characterized in that, The management of grounding resistance in the grounding grid includes: The excitation measurement module is equipped with an adjustable rheostat, which is adjusted according to the grounding resistance R of the grounding loop in which the excitation measurement module is located. c and remaining time ∆t i The adjustable rheostat in the excitation measurement module is wirelessly controlled and adjusted to control and adjust the grounding resistance of the grounding loop.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the content of the grounding resistance monitoring and early warning system as described in claim 1.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the content of the grounding resistance monitoring and early warning system as described in claim 1.
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