Safety protection method of compartment-type intelligent grounding box

Abstract

The present application provides a safety protection method for a compartment-type intelligent grounding box, which relates to the technical field of grounding devices, including: performing multi-dimensional status monitoring on a primary high-voltage grounding system in a first structural compartment of a compartment-type intelligent grounding box to obtain real-time status information; when the real-time status information meets the predetermined safety operation constraints, retrieving the dynamic monitoring information of the primary high-voltage grounding system obtained by the secondary intelligent monitoring system in the second structural compartment; introducing a safety prediction mechanism to perform predictive analysis on the box monitoring information in the dynamic monitoring information to obtain a dynamic safety index of the primary high-voltage grounding system; judging whether the dynamic safety index is within a predetermined safety index threshold; if not, issuing a fault warning signal, and performing safety protection on the primary high-voltage grounding system based on the fault warning signal. The present application solves the technical problem that the compartment-type intelligent grounding box lacks the ability to predict potential risks, resulting in untimely fault response, and significantly improves the safety and reliability of the grounding device.

Description

Technical Field

[0001] The present application relates to the technical field of grounding devices, and in particular to a safety protection method for a compartment-type intelligent grounding box. Background Art

[0002] The smart grounding box is a key component in the power system used to ensure the safe operation of electrical equipment. By deploying online monitoring units, sensors and intelligent monitoring systems, it monitors key parameters such as the cable's grounding loop current and induced voltage in real time, and promptly determines whether there are any abnormal conditions in the cable line.

[0003] Traditional intelligent grounding boxes generally adopt an integrated structure, with the primary high-voltage grounding system and the secondary intelligent monitoring system mixedly installed in one box, without fully considering the safety hazards and operation and maintenance risks of mixed installation. In order to reduce the risk of accidental touch and improve operational safety, compartment-type intelligent grounding boxes came into being, which deployed the primary high voltage and the secondary low voltage in compartments to achieve physical isolation of the high and low voltage parts. However, whether it is a traditional intelligent grounding box or a compartment-type intelligent grounding box, its safety protection method still relies on traditional monitoring methods, focusing on real-time monitoring and response after the occurrence of faults. It monitors basic parameters such as current and voltage in real time, and issues early warnings according to the preset thresholds. When the monitored data exceeds the set threshold, an alarm signal is issued to indicate that there may be a fault. This method lacks the ability to predict possible future faults, and often responds only when the fault has occurred or is about to occur, resulting in a relatively delayed judgment of the grounding system and equipment status, making it difficult to effectively prevent problems before they occur, which to a certain extent affects the safety and reliability of the power system. Summary of the invention

[0004] The present application provides a safety protection method for a compartment-type intelligent grounding box, which solves the technical problem that the traditional compartment-type intelligent grounding box only relies on real-time data and static thresholds for fault detection, lacks the ability to predict possible future faults, and leads to untimely fault response. It achieves the technical effect of evaluating potential safety risks in advance and significantly improving the safety and reliability of the grounding device.

[0005] In view of the above problems, the present application provides a safety protection method for a compartment-type intelligent grounding box, which is applied to a compartment-type intelligent grounding box, and the compartment-type intelligent grounding box includes a first structural compartment and a second structural compartment. The method includes: performing multi-dimensional status monitoring on a primary high-voltage grounding system in the first structural compartment to obtain real-time status information; when the real-time status information meets predetermined safety operation constraints, retrieving dynamic monitoring information of the primary high-voltage grounding system obtained by a secondary intelligent monitoring system in the second structural compartment; introducing a safety prediction mechanism to perform predictive analysis on the box monitoring information in the dynamic monitoring information to obtain a dynamic safety index of the primary high-voltage grounding system; judging whether the dynamic safety index is within a predetermined safety index threshold; if not, issuing a fault warning signal, and performing safety protection on the primary high-voltage grounding system based on the fault warning signal.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The primary high-voltage grounding system in the first structural warehouse is monitored in multiple dimensions to obtain real-time status information, so as to fully understand the operation of the grounding device and provide accurate and comprehensive data support for subsequent fault detection and safety analysis. When the real-time status information meets the predetermined safe operation constraints, the dynamic monitoring information of the primary high-voltage grounding system obtained by the secondary intelligent monitoring system in the second structural warehouse is retrieved. This step not only ensures that more information can be obtained for in-depth analysis under normal circumstances, but also avoids unnecessary waste of resources. The auxiliary data provided by the secondary monitoring system can further enhance the ability to identify and judge safety risks. A safety prediction mechanism is introduced to predict and analyze the box monitoring information in the dynamic monitoring information to obtain the dynamic safety index of the primary high-voltage grounding system. This step can provide an insight into possible safety hazards in advance. The dynamic safety index can quantify the safety status of the grounding device and provide an intuitive basis for subsequent judgment. Determine whether the dynamic safety index is within the predetermined safety index threshold. This step can compare the dynamic safety index with the predetermined threshold to clarify whether the current safety status of the grounding device is within an acceptable range, thereby determining whether further measures need to be taken. If not, a fault warning signal is issued, and based on the fault warning signal, the primary high-voltage grounding system is safely protected to effectively avoid or reduce the damage to the power system or equipment caused by possible faults.

[0008] In summary, this application obtains initial information from multi-dimensional status monitoring, conditionally retrieves dynamic monitoring information, uses a safety prediction mechanism to obtain a dynamic safety index, makes a decision by comparing it with a predetermined threshold, and finally issues an early warning and performs safety protection when necessary. This hierarchical and progressive approach comprehensively and systematically manages the safety of the primary high-voltage grounding system of the compartment-type intelligent grounding box, can detect potential safety hazards in advance, respond to possible faults in a timely manner, effectively improves the safety and reliability of the grounding device, and provides a strong guarantee for the stable operation of the entire power system.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A flow chart of the safety protection method for the compartment-type intelligent grounding box provided in an embodiment of the present application.

[0011] Figure 2 A schematic diagram of a flow chart for obtaining a dynamic safety index of a primary high-voltage grounding system in a safety protection method for a compartment-type intelligent grounding box provided in an embodiment of the present application.

[0012] Figure 3 A schematic diagram of the process of short-circuit safety protection in the safety protection method of the compartment-type intelligent grounding box provided in an embodiment of the present application. DETAILED DESCRIPTION

[0013] The embodiment of the present application provides a safety protection method for a compartment-type intelligent grounding box, which obtains initial information from multi-dimensional state monitoring, conditionally retrieves dynamic monitoring information of a primary high-voltage grounding system obtained by a secondary intelligent monitoring system, uses a safety prediction mechanism to obtain a dynamic safety index, and then makes a decision by comparing it with a predetermined threshold, and finally issues an early warning and performs safety protection when necessary. This method solves the technical problem that traditional compartment-type intelligent grounding boxes rely only on real-time data and static thresholds for fault detection, lack the ability to predict possible future faults, and lead to untimely fault responses, and achieves the technical effect of evaluating potential safety risks in advance and significantly improving the safety and reliability of grounding devices.

[0014] like Figure 1As shown, the embodiment of the present application provides a safety protection method for a compartment-type intelligent grounding box, and the safety protection method for a compartment-type intelligent grounding box is applied to a compartment-type intelligent grounding box, and the compartment-type intelligent grounding box includes a first structural compartment and a second structural compartment, a primary high-voltage grounding system is deployed in the first structural compartment, and a secondary intelligent monitoring system is deployed in the second structural compartment. The safety protection method for the compartment-type intelligent grounding box includes:

[0015] Step S1: Perform multi-dimensional status monitoring on a primary high-voltage grounding system in the structural warehouse to obtain real-time status information.

[0016] Specifically, the primary high-voltage grounding system is a grounding system used to ensure the safe operation of high-voltage equipment. Its function is to guide the leakage current when the equipment fails to the ground to prevent people from electric shock or damage to the equipment. Real-time status information refers to data collected by sensors that reflects the current status of the primary high-voltage grounding system, which is used to analyze the health status of the equipment in real time. Real-time status information includes but is not limited to electrical parameter status information, physical status information, equipment operation status information, etc.

[0017] For the primary high-voltage grounding system, a variety of monitoring methods are used for all-round monitoring. For example, professional electrical measuring instruments, such as high-precision voltmeters, ammeters, and ground resistance testers, are used to accurately measure the voltage, current, and ground resistance values ​​in the system to obtain electrical parameter status information. A temperature and humidity sensor is installed in a structural warehouse to monitor the temperature and humidity data of the environment and obtain the physical status information of the grounding system. An image acquisition device is used to capture images of the primary high-voltage grounding system to obtain equipment operation status information, such as whether the connection of the grounding device is firm. The data and information obtained from these different dimensions of monitoring are aggregated to form real-time status information of the primary high-voltage grounding system. These real-time status information reflects the current working status of the primary high-voltage grounding system, providing an important basis for subsequent safety judgment and early warning.

[0018] Step S2: When the real-time status information meets the predetermined safety operation constraints, the dynamic monitoring information of the primary high-voltage grounding system obtained by the secondary intelligent monitoring system in the second structure warehouse is retrieved.

[0019] Specifically, the predetermined safe operation constraint refers to the safe range of the status information of the primary high-voltage grounding system that is pre-set according to the working requirements and safety standards of the equipment. The secondary intelligent monitoring system is an intelligent monitoring system located in the secondary structure warehouse, which is used to conduct more in-depth dynamic monitoring and data analysis of the primary high-voltage grounding system to obtain more operating information. Dynamic monitoring information refers to the operating parameter data of the primary high-voltage grounding system collected in real time and continuously by the secondary intelligent monitoring system, reflecting the dynamic behavior of the grounding system in different time periods.

[0020] The real-time status information collected in step S1 is compared with the predetermined safe operation constraints. When the real-time status information meets the predetermined safe operation constraints, it indicates that the primary high-voltage grounding system is currently in a safe state. At this time, the dynamic monitoring information provided by the secondary intelligent monitoring system stored in the second structure warehouse is retrieved. This information includes dynamic data such as current and temperature of the grounding system during operation, which can reflect the real-time changes of the primary high-voltage grounding system under different working conditions. By analyzing these dynamic data, potential risks can be identified in advance and preventive maintenance or adjustments can be implemented.

[0021] Step S3: introducing a safety prediction mechanism to perform prediction analysis on the cabinet monitoring information in the dynamic monitoring information to obtain a dynamic safety index of the primary high-voltage grounding system.

[0022] Specifically, the safety prediction mechanism is a pre-designed system or method that predicts and analyzes the operating status of the primary high-voltage grounding system based on existing data, algorithms and models to determine possible safety problems or failures in the future. The cabinet monitoring information refers to the electrical parameter data such as current and voltage obtained by the secondary intelligent monitoring system monitoring the primary high-voltage grounding system contained in a structural warehouse.

[0023] The box monitoring information in the dynamic monitoring information retrieved in step S2 is input into the safety prediction mechanism, which uses a variety of technologies, such as time series analysis, machine learning models (such as decision trees, neural networks, etc.), regression analysis, etc., to predict the future safety status of the grounding system and obtain a comprehensive safety assessment index, namely the dynamic safety index, which is usually a numerical value used to measure the safety status of the primary high-voltage grounding system during operation. The higher the value, the better the safety of the primary high-voltage grounding system. The introduction of the safety prediction mechanism can not only help monitor the immediate safety of the primary high-voltage grounding system, but also provide predictions and guarantees for the long-term operation of the entire grounding device and the connected electrical system, ensuring the efficiency, safety and stability of the grounding system during use.

[0024] Step S4: Determine whether the dynamic safety index is within a predetermined safety index threshold.

[0025] Specifically, the predetermined safety index threshold is a set safety standard range used to measure the safety status of the primary high-voltage grounding system. The predetermined safety index threshold is determined based on the design requirements, safety standards and actual operating experience of the grounding device. For example, this threshold may be set to 0.6 to 0.9. The dynamic safety index determined in step S3 is compared with the predetermined safety index threshold. If the dynamic safety index is within this range, it is considered that the primary high-voltage grounding system is in a relatively safe state; if it exceeds this range, it means that the primary high-voltage grounding system has a high safety hazard and protective measures need to be taken.

[0026] Step S5: If not, a fault warning signal is issued, and safety protection is performed on the primary high-voltage grounding system based on the fault warning signal.

[0027] Specifically, when the judgment result of step S4 shows that the dynamic safety index is not within the predetermined safety index threshold, a fault warning signal is sent to relevant equipment (such as an alarm, a monitoring terminal, etc.) to remind the staff that the primary high-voltage grounding system may be abnormal and that the primary high-voltage grounding system needs to be protected to prevent the occurrence of a fault or reduce the damage that may be caused by the fault. Safety protection may include cutting off part of the circuit to avoid overload, starting a backup grounding line to ensure that the grounding function is normal, or adjusting the operating parameters of the power system (such as reducing current or voltage). Exemplarily, if the fault warning signal indicates that the grounding resistance is too high and may cause a power system failure, the safety protection measures are to automatically adjust the connection method of the grounding device (such as increasing the number of grounding electrodes), or to check whether the grounding wire is damaged and repair it. Safety protection can achieve circuit switching or adjustment through automatic control equipment (such as relays, contactors, etc.), and may also require manual intervention.

[0028] Furthermore, the first and second structure compartments of the compartment-type intelligent grounding box described in the embodiment of the present application are physically isolated by a partition baffle. The first structure compartment door and the second structure compartment door are respectively equipped with independent lock assemblies, and equipment maintenance can be performed separately. The partition baffle is designed with a cable trough opening for installing a wire wiring trough. The cable trough is located behind the N-phase grounding cable, and at the same time maintains a spacing of at least 50 mm from the N-phase grounding cable, and is used to introduce part of the low-voltage cables of the first structure compartment into the second structure compartment.

[0029] There are two deployment methods for the first and second structure warehouses. In one solution, the first structure warehouse is placed on the left side of the second structure warehouse. In another solution, the first structure warehouse is placed on the top of the second structure warehouse. The specific deployment method can be selected according to the on-site space location.

[0030] Furthermore, in step S1 of the embodiment of the present application, the primary high-voltage grounding system includes a grounding wire and a grounding body, and multi-dimensional state monitoring is performed on the primary high-voltage grounding system in the structural warehouse to obtain real-time state information, including:

[0031] Step S11: monitoring the aging characteristics of the ground wire to obtain the wire aging degree.

[0032] Step S12: monitoring the corrosion characteristics of the grounding body to obtain the body corrosion degree.

[0033] Step S13: monitor and obtain the real-time grounding resistance of the primary high-voltage grounding system.

[0034] Step S14: the line aging degree, the body corrosion degree and the real-time grounding resistance constitute the real-time status information.

[0035] Specifically, the primary high-voltage grounding system includes a grounding wire and a grounding body. The grounding wire is a conductor used to connect certain parts of electrical equipment or lines to the earth, providing a safe return path for current in the event of equipment failure or abnormality; and the grounding body is a metal conductor or a group of conductors that are in direct contact with the earth's soil, used to guide current underground to avoid danger to equipment due to leakage or failure.

[0036] Monitor the ground wire to obtain its aging characteristics and then get the wire aging degree. The thermal effect caused by long-term current flow, ultraviolet radiation in the environment, chemical corrosion, etc. may cause the ground wire to age. An insulation resistance tester can be used to detect the insulation performance of the insulation layer of the ground wire. As the ground wire ages, the insulation layer may be damaged and the insulation resistance will decrease. Infrared thermal imagers can also be used to detect the temperature distribution of the ground wire when it is powered on, because the aged ground wire may cause local overheating due to increased resistance. The degree of aging is determined by analyzing the abnormal temperature area in the thermal image, and these test results are combined and quantified into the wire aging degree.

[0037] The corrosion characteristics of the grounding body are monitored, and the degree of corrosion is evaluated by detecting the corrosion products, corrosion pits and other characteristics on the surface of the grounding body. The corrosion potential of the grounding body can be measured by a corrosion potential measuring instrument, and the change in the corrosion potential can reflect the corrosion trend of the grounding body. In addition, the corrosion of the grounding body surface can be observed by using equipment such as an endoscope through the detection channel pre-set around the grounding body, and it can be quantified as the body corrosion degree according to the area and depth of corrosion.

[0038] Monitor the real-time grounding resistance of the primary high-voltage grounding system to ensure that the grounding system has sufficient conductivity and can effectively guide the current to the ground. The grounding resistance is affected by many factors such as the grounding wire, the grounding body, and the surrounding soil. Usually, a grounding resistance tester is used. According to the standard measurement method (such as the three-point method or the four-point method), the electrodes of the tester are inserted into the soil around the grounding body at a specified distance to measure the real-time grounding resistance.

[0039] The obtained line aging degree, body corrosion degree and real-time grounding resistance are integrated to obtain the real-time status information of the primary high-voltage grounding system, so as to fully understand the current status of the grounding system and provide basic data for subsequent safety analysis.

[0040] Furthermore, the predetermined safe operation constraints in step S2 of the embodiment of the present application include predetermined line constraints, predetermined body constraints and predetermined resistance constraints. If and only if the line aging degree meets the predetermined line constraints, the body corrosion degree meets the predetermined body constraints, and the real-time grounding resistance meets the predetermined resistance constraints, it indicates that the real-time status information meets the predetermined safe operation constraints.

[0041] Specifically, based on the real-time status information obtained from multi-dimensional status monitoring of the primary high-voltage grounding system, predetermined safety operation constraints are set accordingly, including predetermined line constraints, predetermined body constraints, and predetermined resistance constraints. Among them, the predetermined line constraint is a restriction condition pre-set specifically for the aging of the grounding wire, which is formulated based on factors such as the material, design life, environment, and power system requirements for the safety performance of the grounding wire, and is usually expressed as an upper limit on the aging of the wire. For example, the aging degree cannot exceed 30%.

[0042] Predetermined body constraints are pre-determined limiting rules for the corrosion degree of the ground body. The safety range of the ground body corrosion degree is set according to the material of the ground body and the functional requirements of the ground body in the entire grounding system. For example, if the ground body is made of galvanized steel, its body corrosion degree cannot exceed 20%.

[0043] The predetermined resistance constraint is a pre-set safety limit for the grounding resistance of a primary high-voltage grounding system. The magnitude of the grounding resistance directly affects the ability of the grounding system to introduce current into the earth in the event of a fault. The permissible range of the grounding resistance is determined based on the standards and safety requirements of the power system and the design parameters of the grounding system. For example, for a specific high-voltage grounding system, it is specified that its grounding resistance must be between 5 and 10 ohms.

[0044] When judging whether the real-time status information meets the predetermined safe operation constraints, three aspects need to be judged separately. First, check whether the line aging meets the predetermined line constraints, and then check whether the body corrosion meets the predetermined body constraints. Finally, check whether the real-time grounding resistance is within the predetermined resistance constraint range. Only when the line aging, body corrosion and real-time grounding resistance meet their corresponding predetermined line constraints, predetermined body constraints and predetermined resistance constraints, respectively, does it indicate that the entire real-time status information meets the predetermined safe operation constraints. At this time, the primary high-voltage grounding system is in a safe state and can continue to operate normally. If one or more items do not meet the predetermined constraints, an alarm will be issued, and further safety protection measures will be taken according to the monitoring information, such as retrieving secondary intelligent monitoring data or performing fault diagnosis. This constraint inspection mechanism helps to ensure that there are no potential safety hazards in the normal operation of the primary high-voltage grounding system and improve the stability and safety of the entire grounding device.

[0045] Further, such as Figure 2 As shown, the cabinet monitoring information in step S3 of the embodiment of the present application includes a current signal timing sequence and a voltage signal timing sequence, and a safety prediction mechanism is introduced to perform a prediction analysis on the cabinet monitoring information in the dynamic monitoring information to obtain a dynamic safety index of the primary high-voltage grounding system, including:

[0046] Step S31: collecting time domain features of the current signal time series and the voltage signal time series in sequence to obtain current time domain features and voltage time domain features respectively.

[0047] Step S32: performing Fourier transform on the current signal time series and the voltage signal time series in sequence to obtain a current signal spectrum and a voltage signal spectrum respectively.

[0048] Step S33: frequency domain characteristics of the current signal spectrum and the voltage signal spectrum are collected in sequence to obtain current frequency domain characteristics and voltage frequency domain characteristics respectively.

[0049] Step S34: forming a current feature set based on the current time domain feature and the current frequency domain feature.

[0050] Step S35: forming a voltage feature set based on the voltage time domain feature and the voltage frequency domain feature.

[0051] Step S36: According to the safety prediction mechanism, the current surge index obtained by analyzing the current feature set is normalized to obtain a current safety index.

[0052] Step S37: The voltage stability index obtained by analyzing the voltage feature set is normalized according to the safety prediction mechanism to obtain a voltage safety index.

[0053] Step S38: performing a variation weighted calculation on the current safety index and the voltage safety index to obtain the dynamic safety index.

[0054] Specifically, the cabinet monitoring information includes the current signal timing and the voltage signal timing. The current signal timing is a sequence of current signal values ​​collected in time sequence over a period of time, reflecting the change of current over time. It may include the stable current part of the normal operation of the primary high-voltage grounding system, and may also include the current fluctuation part caused by load changes, faults, etc. The voltage signal timing is similar to the current signal timing. It is a sequence of voltage signal values ​​collected in time sequence over a period of time, reflecting the change of voltage at each point in the primary high-voltage grounding system over time.

[0055] Time domain features refer to features extracted directly from time series signals, which reflect the changing rules of signals in the time domain. Time domain features are collected for the current signal time series and voltage signal time series of a high-voltage grounding system. By analyzing the time waveforms of the current and voltage signals, the basic time domain features of the signals are extracted, such as the mean, standard deviation, peak value, pulse width, amplitude, etc. of the signals, to obtain the current time domain features and voltage time domain features.

[0056] Use Fourier transform, such as DFT (discrete Fourier transform) and FFT (fast Fourier transform) to perform Fourier transform on the current signal time series and voltage signal time series respectively, convert the signal from time domain to frequency domain, and obtain the current signal spectrum and voltage signal spectrum. Analyze the current signal spectrum and voltage signal spectrum in turn, collect frequency domain features, and extract current frequency domain features and voltage frequency domain features. Frequency domain features describe the intensity and distribution of the signal at different frequencies, including the peak value of the frequency, bandwidth, frequency distribution, etc.

[0057] The time domain features and frequency domain features corresponding to the current and voltage are respectively combined to obtain a current feature set and a voltage feature set, which together form a current feature set.

[0058] The current feature set is input into the safety prediction mechanism for analysis. The safety prediction mechanism predicts whether there is a risk of current surge based on the input current feature set and determines the current surge index. The current surge index is used to measure the risk level of a sudden increase (surge) in current. The current surge index is standardized and mapped to the interval of [0, 1] to obtain the current safety index, so as to more intuitively evaluate the safety of the primary high-voltage grounding system in terms of current.

[0059] The voltage feature set is input into the safety prediction mechanism for analysis. The safety prediction mechanism analyzes the voltage stability based on the input voltage feature set and determines the voltage stability index. The voltage stability index is used to measure the stability of the voltage of the primary high-voltage grounding system. The voltage stability index is standardized and mapped to the interval [0, 1] to obtain the voltage safety index, so as to more intuitively evaluate the voltage safety of the primary high-voltage grounding system. Standardization helps to eliminate the influence of different dimensions and scales and unify the measurement standard of the safety index.

[0060] The above-mentioned safety index calculation is performed on multiple signal data in the current signal time series and the voltage signal time series respectively to obtain multiple current safety indices and multiple voltage safety indices. The ratios of the standard deviation and the average value of the current safety index and the voltage safety index are calculated respectively as the weights of the current safety index and the voltage safety index. The current safety index and the voltage safety index are weightedly calculated to obtain a dynamic safety index, so as to comprehensively evaluate the overall safety level of the primary high-voltage grounding system.

[0061] Furthermore, step S36 of the embodiment of the present application further includes:

[0062] Step S361: Obtain historical cabinet monitoring records, and extract first historical records and third historical records from the historical cabinet monitoring records, wherein the first historical records are records of abnormal current surge index, and the third historical records are records of normal current surge index and voltage stability index.

[0063] Step S362: forming a first data group based on the first historical current feature set and the first historical current surge index in the first historical record.

[0064] Step S363: constructing a third data group based on the third historical current feature set and the third historical current surge index in the third historical record.

[0065] Step S364: Perform supervised learning on the first data group and the third data group to obtain a current surge prediction model.

[0066] Step S365: inputting the current feature set into the current surge prediction model to obtain the current surge index.

[0067] Specifically, the historical box monitoring record refers to the collection of all data records obtained by monitoring a high-voltage grounding system in the past period of time, including the current signal timing, voltage signal timing at each previous moment, and the current time domain characteristics, voltage frequency domain characteristics, etc., current surge index, voltage stability index and other information calculated therefrom. The historical box monitoring records are obtained from the data storage system or database of the junction box, and the records with abnormal current surge index in the historical box monitoring records are screened and recorded as the first historical records. These records represent that the high-voltage grounding system had certain fault risks or special operating conditions (such as short circuit, overload, etc.) at the time, which is helpful to analyze the causes and patterns of current surges. At the same time, the records with normal current surge index and voltage stability index are screened and recorded as the third historical records. These records represent the state of the high-voltage grounding system during normal operation, which can provide a reference for establishing a normal state model.

[0068] A historical current feature set and a historical current surge index are extracted from the first historical record to construct a first data group, which represents the typical characteristics of a high-voltage grounding system when the current surges. Each element in the first data group corresponds to a record in the first historical record, including a first historical current feature set and a first historical current surge index. Similarly, a historical current feature set and a historical current surge index are extracted from the third historical record to construct a third data group, which represents the current characteristics under normal conditions.

[0069] Use machine learning libraries (such as Scikit-learn, TensorFlow, etc.) to build a supervised learning model. Commonly used models include decision trees, support vector machines (SVM), random forests, neural networks, etc. Input the first data group and the third data group as training data into the constructed supervised learning model, and then call the corresponding function to train the model to generate a current surge prediction model, which can predict the current surge index based on the input current feature set.

[0070] The new current feature set is input into the trained current surge prediction model to obtain the current surge index, which reflects whether the primary high-voltage grounding system is currently in a risk state of current surge.

[0071] Furthermore, step S37 of the embodiment of the present application further includes:

[0072] Step S371: extracting a second historical record from the historical cabinet monitoring record, wherein the second historical record is a record of abnormal voltage stability index.

[0073] Step S372: constructing a second data group based on a second historical voltage feature set and a second historical voltage stability index in the second historical records.

[0074] Step S373: constructing a fourth data group based on the third historical voltage feature set and the third historical voltage stability index in the third historical record.

[0075] Step S374: performing supervised learning on the second data group and the fourth data group to obtain a voltage stability prediction model.

[0076] Step S375: inputting the voltage feature set into the voltage stability prediction model to obtain the voltage stability index.

[0077] Specifically, records with abnormal voltage stability index are screened out from historical box monitoring records and recorded as the second historical records. These records reflect the problems that occurred in the voltage stability of the primary high-voltage grounding system in the past, which helps to analyze the causes and characteristics of voltage instability and establish corresponding prediction models.

[0078] A historical voltage feature set and a historical voltage stability index are extracted from the second historical record to construct a second data group, which represents the typical characteristics of a primary high-voltage grounding system when the current is abnormal. Each element in the second data group corresponds to a record in the second historical record, including a second historical current feature set and a second historical voltage stability index. Similarly, a historical voltage feature set and a historical voltage stability index group are extracted from the third historical record to construct a fourth data group, which represents the voltage characteristics under normal conditions.

[0079] Similar to the aforementioned method of training the current surge prediction model, a supervised learning algorithm is selected to construct a supervised learning model, and the second data group and the fourth data group are used to perform supervised learning to obtain a voltage stability prediction model.

[0080] The new voltage feature set is input into the trained voltage stability prediction model to obtain the voltage stability index, which reflects the voltage stability in the current grounding system.

[0081] Further, such as Figure 3 As shown, the dynamic monitoring information in the embodiment of the present application also includes heat monitoring information, and the safety protection method of the compartment-type intelligent grounding box also includes:

[0082] Step S61: extracting a first heat value corresponding to a first spatial point in the heat monitoring information.

[0083] Step S62: Draw a heat visualization graph based on a first mapping relationship between the first spatial point and the first heat value.

[0084] Step S63: performing a significance analysis on the heat visualization graph to obtain significant heat points, and performing short-circuit safety protection on the significant heat points.

[0085] Specifically, the dynamic monitoring information retrieved in step S2 also includes heat monitoring information, which is the internal temperature distribution of the primary high-voltage grounding system monitored by the secondary intelligent monitoring system through temperature sensors, thermal imagers and other equipment.

[0086] The real-time temperature data at the first spatial point, i.e., the first heat value, is extracted from the heat monitoring information. The first spatial point is any specific temperature monitoring point inside the primary high-voltage grounding system. A corresponding relationship between the first spatial point and the first heat value, i.e., a first mapping relationship, is established. For multiple first spatial points in the heat monitoring information, the corresponding first heat values ​​are extracted, and a corresponding relationship between the spatial points and the heat values ​​is established to obtain multiple first mapping relationships. A heat visualization graph is drawn according to the first mapping relationship to visualize the heat monitoring data in a graphical manner, so as to intuitively observe the temperature distribution of various parts of the primary high-voltage grounding system.

[0087] Perform a significance analysis on the heat visualization graph to determine the spatial points with significantly higher temperatures than other areas, i.e., heat-significant points, which may have short-circuit risks. For example, a statistical method can be used to determine the significant points by calculating the deviation between the heat value of each point and the average heat value and setting a deviation threshold; or a machine learning method can be used, such as using a clustering algorithm to divide the points in the heat visualization graph into different categories, and then find the points contained in the category that is significantly different from other categories as heat-significant points.

[0088] By analyzing the heat monitoring information, the temperature of the primary high-voltage grounding system is monitored in real time, and the heat-significant points are determined to predict potential short-circuit safety hazards, and short-circuit safety protection is carried out for the heat-significant points. For example, measures such as increasing heat dissipation measures (such as installing heat sinks), checking line insulation (using tools such as insulation resistance testers), and adjusting line layout to reduce current density can be taken to prevent short-circuit accidents and ensure the safe operation of equipment and power systems.

[0089] Furthermore, step S62 of the embodiment of the present application further includes:

[0090] Step S621: extracting target spatial points in the heat visualization graph, wherein the target spatial points are not subjected to heat monitoring.

[0091] Step S622: constructing a target space neighborhood of the target space point, wherein the target space neighborhood includes a plurality of neighborhood mapping relationships.

[0092] Step S623: Obtain a first neighborhood mapping relationship among the multiple neighborhood mapping relationships, wherein the first neighborhood mapping relationship refers to a mapping relationship between a first neighborhood point and a first neighborhood heat value.

[0093] Step S624: taking the first spatial distance between the first neighborhood point and the target spatial point as a first coefficient, and performing weighted calculation on the first neighborhood heat value to obtain a weighted result.

[0094] Step S625: Record the weighted result as the target predicted heat value of the target spatial point.

[0095] Step S626: Render the target mapping relationship between the target spatial point and the target predicted heat value to the heat visualization graph.

[0096] Specifically, the target spatial point refers to a spatial location in a primary high-voltage grounding system that is not directly monitored due to equipment layout, monitoring limitations, etc., and its thermal value needs to be obtained through inference or calculation.

[0097] The target spatial points that have not been monitored are determined in the thermal visualization graph by using the markers on the thermal visualization graph, coordinate extraction tools or image processing algorithms. For example, the thermal visualization graph is represented based on a two-dimensional array, in which each element represents the thermal information of a spatial point. Points that have not been thermally monitored may be marked as special values ​​(such as -1), and these points marked as -1 are found as target spatial points by traversing the array.

[0098] Next, determine the neighborhood range of the target space point and form the target space neighborhood of the target space point. The target space neighborhood refers to the set of spatial positions adjacent to the target space point. These neighborhood positions may have been heat monitored, and their heat values ​​can be used to infer the heat of the target space point. The target space neighborhood contains multiple neighborhood points, multiple heat values, and multiple neighborhood mapping relationships (i.e., the correspondence between neighborhood points and their heat values). Determine the target space neighborhood range according to the pre-set spatial neighborhood definition rules. For example, the points within a certain radius around the target space point are defined as its neighborhood. Then, by calculating the spatial distance (such as the Euclidean distance) between each spatial point and the target space point, the points within the set radius are selected to form the target space neighborhood. For each neighborhood point, a mapping relationship between it and its own heat value is established, thereby forming multiple neighborhood mapping relationships.

[0099] From the multiple neighborhood mapping relationships in the target space neighborhood, one of them is randomly selected as the first neighborhood mapping relationship. The corresponding neighborhood points and heat values ​​are recorded as the first neighborhood points and the first neighborhood heat values. The spatial distance between the target space point and the first neighborhood point is calculated, which is recorded as the first spatial distance. For multiple first neighborhood points in the target space neighborhood, the spatial distances between them and the target space point are calculated respectively to obtain multiple first spatial distances. Using the corresponding multiple first spatial distances as the first coefficient, a weighted calculation is performed on the multiple first neighborhood heat values, and the weighted result is used as the target predicted heat value of the target space point. Establish a corresponding relationship between the target space point and its target predicted heat value, that is, the target mapping relationship, add the target mapping relationship to the drawing data structure of the heat visualization diagram, and re-render the heat visualization diagram to display the updated content.

[0100] The above steps utilize the heat values ​​of the neighborhood spatial points through weighted calculation to infer the temperature data of the unmonitored spatial points, so that even in areas without direct monitoring, temperature information can be obtained through neighborhood inference, thereby ensuring full coverage of temperature monitoring and improving the comprehensiveness of short-circuit safety protection.

[0101] In summary, the safety protection method of the compartment-type intelligent grounding box provided in the embodiment of the present application has the following technical effects:

[0102] The primary high-voltage grounding system in the first structural warehouse is monitored in multiple dimensions to obtain the aging degree of the grounding wire, the corrosion of the grounding body and the real-time grounding resistance, and the real-time status information is summarized to fully understand the operation of the grounding device, providing accurate and comprehensive data support for subsequent fault detection and safety analysis. When the real-time status information meets the predetermined safe operation constraints, the dynamic monitoring information of the primary high-voltage grounding system obtained by the secondary intelligent monitoring system in the second structural warehouse is retrieved, including current time series signals, voltage time series signals and heat monitoring data. This step not only ensures that more information can be obtained for in-depth analysis under normal circumstances, but also avoids unnecessary waste of resources. The auxiliary data provided by the secondary monitoring system can further enhance the ability to identify and judge safety risks. A safety prediction mechanism is introduced to predict and analyze the box monitoring information in the dynamic monitoring information. By performing time domain and frequency domain feature analysis on the current and voltage signal time series, combined with historical monitoring records, a prediction model of the current surge index and the voltage stability index is constructed to obtain the dynamic safety index of the primary high-voltage grounding system. This step can provide early insight into possible safety hazards. The dynamic safety index can quantify the safety status of the grounding device and provide an intuitive basis for subsequent judgment. Determine whether the dynamic safety index is within a predetermined safety index threshold. This step can clarify whether the current safety status of the grounding device is within an acceptable range by comparing the dynamic safety index with the predetermined threshold, thereby determining whether further measures need to be taken. If not, a fault warning signal is issued, and based on the fault warning signal, the primary high-voltage grounding system is safely protected to effectively avoid or reduce damage to the power system or equipment caused by possible faults. In addition, the embodiment of the present application also identifies and locates high-temperature areas in real time, and warns of potential short-circuit hazards by performing significance analysis and heat visualization on the heat monitoring information.

[0103] Through these comprehensive monitoring and prediction mechanisms, the embodiments of the present application not only provide real-time safety assessment of the primary high-voltage grounding system, but also achieve effective early warning and protection against potential risks, thereby significantly improving the stability, safety and reliability of the primary high-voltage grounding system in a complex working environment, and providing a strong guarantee for the stable operation of the entire power system.

[0104] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A safety protection method for a compartment-type intelligent grounding box, characterized in that: The safety protection method of the compartment-type intelligent grounding box is applied to a compartment-type intelligent grounding box, the compartment-type intelligent grounding box includes a first structural compartment and a second structural compartment, and the safety protection method of the compartment-type intelligent grounding box includes: Performing multi-dimensional status monitoring on a primary high-voltage grounding system in the structural warehouse to obtain real-time status information; When the real-time status information meets the predetermined safety operation constraints, the dynamic monitoring information of the primary high-voltage grounding system obtained by the secondary intelligent monitoring system in the second structure warehouse is retrieved; Introducing a safety prediction mechanism to perform prediction analysis on the cabinet monitoring information in the dynamic monitoring information to obtain a dynamic safety index of the primary high-voltage grounding system; Determining whether the dynamic safety index is within a predetermined safety index threshold; If not, a fault warning signal is issued, and safety protection is performed on the primary high-voltage grounding system based on the fault warning signal.

2. The safety protection method of the compartment-type intelligent grounding box according to claim 1 is characterized in that: The first structural bin is physically isolated from the second structural bin, wherein the first structural bin is arranged on the left side of the second structural bin.

3. The safety protection method of the compartment-type intelligent grounding box according to claim 1 is characterized in that: The first structural bin is physically isolated from the second structural bin, wherein the first structural bin is arranged above the second structural bin.

4. The safety protection method of the compartment-type intelligent grounding box according to claim 1 is characterized in that: The primary high-voltage grounding system includes a grounding wire and a grounding body. Multi-dimensional status monitoring is performed on the primary high-voltage grounding system in the first structural warehouse to obtain real-time status information, including: Performing aging characteristic monitoring on the ground wire to obtain a wire aging degree; Monitoring the corrosion characteristics of the ground body to obtain the body corrosion degree; Monitoring and obtaining the real-time grounding resistance of the primary high-voltage grounding system; The line aging degree, the body corrosion degree and the real-time grounding resistance constitute the real-time status information.

5. The safety protection method of the compartment-type intelligent grounding box according to claim 4 is characterized in that: The predetermined safe operation constraints include predetermined line constraints, predetermined body constraints and predetermined resistance constraints. If and only if the line aging degree meets the predetermined line constraints, the body corrosion degree meets the predetermined body constraints, and the real-time grounding resistance meets the predetermined resistance constraints, it indicates that the real-time status information meets the predetermined safe operation constraints.

6. The safety protection method of the compartment-type intelligent grounding box according to claim 1 is characterized in that: The cabinet monitoring information includes a current signal time sequence and a voltage signal time sequence. A safety prediction mechanism is introduced to perform prediction analysis on the cabinet monitoring information in the dynamic monitoring information to obtain a dynamic safety index of the primary high-voltage grounding system, including: Sequentially collecting time domain features of the current signal time series and the voltage signal time series to obtain current time domain features and voltage time domain features respectively; Performing Fourier transform on the current signal time series and the voltage signal time series in sequence to obtain a current signal spectrum and a voltage signal spectrum respectively; Collecting frequency domain features of the current signal spectrum and the voltage signal spectrum in sequence to obtain current frequency domain features and voltage frequency domain features respectively; forming a current feature set based on the current time domain feature and the current frequency domain feature; Composing a voltage feature set based on the voltage time domain feature and the voltage frequency domain feature; The current surge index obtained by analyzing the current feature set is normalized according to the safety prediction mechanism to obtain a current safety index; The voltage stability index obtained by analyzing the voltage feature set according to the safety prediction mechanism is normalized to obtain a voltage safety index; The current safety index and the voltage safety index are subjected to variational weighted calculation to obtain the dynamic safety index.

7. The safety protection method of the compartment-type intelligent grounding box according to claim 6 is characterized in that: The current surge index obtained by analyzing the current feature set according to the safety prediction mechanism is normalized to obtain a current safety index, including: Obtain historical cabinet monitoring records, and extract first historical records and third historical records from the historical cabinet monitoring records, wherein the first historical records are records showing abnormal current surge index, and the third historical records are records showing normal current surge index and voltage stability index; forming a first data group based on a first historical current feature set and a first historical current surge index in the first historical records; Forming a third data group based on a third historical current feature set and a third historical current surge index in the third historical records; Performing supervised learning on the first data group and the third data group to obtain a current surge prediction model; The current feature set is input into the current surge prediction model to obtain the current surge index.

8. The safety protection method of the compartment-type intelligent grounding box according to claim 7 is characterized in that: The voltage stability index obtained by analyzing the voltage feature set according to the safety prediction mechanism is standardized to obtain a voltage safety index, including: Extracting a second historical record from the historical cabinet monitoring record, wherein the second historical record is a record of abnormal voltage stability index; forming a second data group based on a second historical voltage feature set and a second historical voltage stability index in the second historical records; forming a fourth data group based on a third historical voltage feature set and a third historical voltage stability index in the third historical records; Performing supervised learning on the second data group and the fourth data group to obtain a voltage stability prediction model; The voltage feature set is input into the voltage stability prediction model to obtain the voltage stability index.

9. The safety protection method of the compartment-type intelligent grounding box according to claim 1 is characterized in that: The dynamic monitoring information also includes heat monitoring information, including: Extracting a first heat value corresponding to a first spatial point in the heat monitoring information; Draw a heat visualization graph based on a first mapping relationship between the first spatial point and the first heat value; A significance analysis is performed on the heat visualization graph to obtain significant heat points, and short-circuit safety protection is performed on the significant heat points.

10. The safety protection method of the compartment-type intelligent grounding box according to claim 9 is characterized in that: Drawing a heat visualization graph based on a first mapping relationship between the first spatial point and the first heat value also includes: Extracting a target spatial point in the heat visualization graph, wherein the target spatial point is not subjected to heat monitoring; Establishing a target space neighborhood of the target space point, wherein the target space neighborhood includes a plurality of neighborhood mapping relationships; Obtaining a first neighborhood mapping relationship among the multiple neighborhood mapping relationships, wherein the first neighborhood mapping relationship refers to a mapping relationship between a first neighborhood point and a first neighborhood heat value; Taking a first spatial distance between the first neighborhood point and the target spatial point as a first coefficient, and performing weighted calculation on the first neighborhood heat value to obtain a weighted result; Recording the weighted result as the target predicted heat value of the target spatial point; The target mapping relationship between the target spatial point and the target predicted heat value is rendered to the heat visualization graph.

Images