Power grid single-phase earth fault early warning system

Abstract

The invention relates to the field of power grid single-phase earth fault early warning, in particular to a power grid single-phase earth fault early warning system which comprises a data acquisition module, an insulation monitoring analysis module, a thermal imaging temperature analysis module, a comprehensive judgment module and an early warning processing module. The thermal imaging temperature analysis module continues to analyze the power grid equipment according to the primary judgment result and intelligently generates a secondary judgment result corresponding to the power grid equipment, and the insulation monitoring analysis module analyzes the insulation state of each type of power grid equipment and intelligently generates a primary judgment result of a single-phase earth fault; according to the single-phase earth fault signal generation system and method, by means of the two analysis results, misjudgment and missed judgment of a single judgment mode are avoided, and the accuracy of single-phase earth fault signal generation is improved.

Description

Technical Field

[0001] The invention relates to the field of early warning of single-phase grounding fault in power grid, and in particular to an early warning system of single-phase grounding fault in power grid. Background Art

[0002] In the operation of power grids, single-phase grounding faults are a common and harmful type of fault. As the scale of power grids continues to expand and the complexity increases, accurately detecting and warning single-phase grounding faults is becoming increasingly critical to ensure the safe and stable operation of power grids. Traditional power grid fault detection methods have many limitations when facing single-phase grounding faults.

[0003] The invention patent publication number "CN110389276A A single-phase ground fault management system and method" discloses "a distribution network power supply line unit, a node and branch fault warning unit, a transmission efficiency monitoring unit and a control unit. The control unit is used to predict permanent ground faults, instantaneous ground faults and disconnection ground faults based on the information collected by the transmission efficiency monitoring unit and the data information fed back by the node and branch fault warning unit; the control unit is also used to verify the accuracy of the current distribution network power supply line unit fault selection according to the current fault type." However, the patent has the problem of difficulty in effectively identifying faults in the early stages. The changes in electrical quantities in the early stages of a ground fault may be relatively weak, which can easily lead to untimely fault detection. A single detection method cannot comprehensively evaluate the operating status of the equipment, and cannot comprehensively consider the impact of the equipment's insulation condition and temperature changes on the fault. Summary of the invention

[0004] In order to solve the technical problems raised by the above background technology, the present invention provides a single-phase grounding fault early warning system for a power grid.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A single-phase ground fault early warning system for a power grid includes a data acquisition module, an insulation monitoring and analysis module, a comprehensive determination module, an early warning processing module and a data center, and also includes a thermal imaging temperature analysis module;

[0007] The thermal imaging temperature analysis module continues to analyze the power grid equipment according to the primary determination result, and intelligently generates a secondary determination result of the corresponding power grid equipment. It receives the secondary analysis signal and obtains the position of the corresponding potential risk equipment. It obtains the corresponding thermal imaging image according to the position of the corresponding potential risk equipment, extracts color features of the thermal imaging image of the potential risk equipment, obtains pixel values ​​of each color, counts the number of orange pixel values ​​and the number of red pixel values, obtains the number of abnormal pixels of the potential risk equipment, marks them as high-temperature warning pixels, obtains the high-temperature warning area according to the scale of the thermal imaging image, obtains the total area of ​​the thermal imaging image, divides the total area by the high-temperature warning area to obtain the high-temperature area ratio, and obtains the high-temperature hazard index based on the high-temperature warning pixel number and the high-temperature area ratio analysis;

[0008] Extract the preset temperature threshold of the data center, mark the time point when the actual temperature value of the potential risk equipment is greater than the preset temperature threshold as the target temperature time point, then obtain the high temperature cutoff time point corresponding to the actual temperature value less than the preset temperature threshold, and subtract the target temperature time point from the high temperature cutoff time point to obtain the high temperature duration; obtain the corresponding high temperature maximum value according to the high temperature duration; identify the damaged area and number of damaged shells in the corresponding area through a high-definition camera, obtain the damaged area and number of damaged shells, and obtain the total damaged area based on the damaged area and number of damaged shells;

[0009] The thermal damage model is used to output the thermal damage comprehensive quantitative value FGS of the current potential risk equipment, where C1, C2, C3 and C4 are preset proportional coefficients, and the preset thermal damage comprehensive quantitative threshold of the data center is extracted. The thermal damage comprehensive quantitative value is compared with the preset thermal damage comprehensive quantitative threshold. If the thermal damage comprehensive quantitative value is greater than the preset thermal damage comprehensive quantitative threshold, the potential risk equipment is marked as a faulty equipment, and a secondary determination result of a single-phase grounding fault is generated, and the secondary determination result is sent to the comprehensive determination module;

[0010] The insulation monitoring and analysis module is equipped with a dielectric loss analysis unit, an aging assessment unit and a primary determination unit, which respectively analyze the dielectric loss coefficient, insulation aging assessment value and insulation resistance difference value of each type of power grid equipment;

[0011] A receiving unit and a logic determination unit are provided in the comprehensive determination module. The receiving unit obtains a primary determination result and a secondary determination result. The logic determination unit generates a single-phase ground fault signal according to the primary determination result and the secondary determination result.

[0012] As a further solution of the present invention: the heat-induced damage model is

[0013] Among them, C1, C2, C3 and C4 are preset proportional coefficients, WA 指数 is the high temperature hazard index, SY时长 is the duration of high temperature, SF 最大 is the high temperature maximum value, PY 面积 is the total damaged area.

[0014] As a further solution of the present invention: the dielectric loss analysis unit of the insulation monitoring and analysis module analyzes the dielectric loss of various types of power grid equipment, and the specific process is as follows:

[0015] The input end of the insulation monitoring and analysis module is connected to the output end of the data center. The insulation monitoring and analysis module includes a dielectric loss analysis unit. The dielectric loss analysis unit is specifically as follows: a zero-crossing comparator is installed on each power grid device to obtain the voltage signal and current signal of each type of power grid device, and the voltage signal and current signal of each type of power grid device are input into the zero-crossing comparator. When the signal changes from the negative half cycle to the positive half cycle, the zero-crossing comparator generates a level jump signal, extracts the voltage signal zero-crossing time t1 and the current zero-crossing time t2 in the level jump signal, sets the signal period to T3, and uses the formula Get the phase difference between current and voltage of various types of power grid equipment The dielectric loss coefficient DTai of each type of power grid equipment is obtained based on the phase difference.

[0016] As a further solution of the present invention: the aging assessment unit analyzes the operating data of various types of power grid equipment, and the specific process is as follows:

[0017] Obtain the start time point when each type of power grid equipment is put into use, and then cut off the system time point of each type of power grid equipment in the current system, make a difference between the start time point and the system time point to obtain the time period that has been put into operation corresponding to each type of power grid equipment, divide the time period that has been put into operation into several divided time periods that have been put into operation, obtain the current parameter value corresponding to each divided time period that has been put into operation, extract the standard current value range of the data center, compare the current parameter value corresponding to each divided time period that has been put into operation with the standard current value range, extract the current parameter value greater than the standard current value range, mark it as an abnormal current value, count the number of abnormal current values, obtain the divided time period that has been put into operation corresponding to the abnormal current value, mark it as an abnormal operation period, and analyze based on the time periods that have been put into operation, the number of abnormal current values ​​and the abnormal operation period corresponding to each type of power grid equipment to obtain the insulation aging assessment value, marked as DEsi.

[0018] As a further solution of the present invention: the primary determination unit analyzes the dielectric loss coefficient, insulation aging assessment value and insulation resistance difference value, and intelligently generates a primary determination result of a single-phase grounding fault, and the specific process is as follows:

[0019] For each voltage parameter value corresponding to each type of grid equipment that has been put into operation, each voltage parameter value is matched with each current parameter value to obtain each insulation resistance value for each type of grid equipment that has been put into operation for each time period, obtain each insulation resistance value for each type of grid equipment that has been put into operation for each time period, arrange each insulation resistance value, obtain the maximum insulation resistance value and the minimum insulation resistance value, make a difference between the maximum insulation resistance value and the minimum insulation resistance value, and obtain an insulation resistance difference value DKci;

[0020] Using the formula

[0021] The single-phase grounding fault risk value DTk of each type of power grid equipment is obtained, where K1, K2 and K3 are preset proportional coefficients, i represents the number of the power grid equipment, and n represents the total number of power grid equipment. The preset single-phase grounding fault risk threshold of the data center is extracted, and the single-phase grounding fault risk value of each type of power grid equipment is compared with the preset single-phase grounding fault risk threshold. If the single-phase grounding fault risk value of a certain power grid equipment is greater than the preset single-phase grounding fault risk threshold, the power grid equipment is marked as a potential risk equipment, and a primary judgment result of the single-phase grounding fault of the potential risk equipment is generated, and the primary judgment result is sent to the comprehensive judgment module.

[0022] As a further solution of the present invention: the receiving unit of the comprehensive determination module obtains the primary determination result and the secondary determination result, and the specific process is as follows:

[0023] The comprehensive determination module is composed of a receiving unit and a logic determination unit. The receiving unit obtains a primary determination result and sends the primary determination result to the logic determination unit. The receiving unit obtains a secondary determination result and sends the secondary determination result to the logic determination unit.

[0024] As a further solution of the present invention: the logic determination unit generates a single-phase ground fault signal according to the primary determination result and the secondary determination result, and the specific process is as follows:

[0025] The logic judgment unit obtains the positioning information of the corresponding potential risk equipment according to the primary judgment result, generates a secondary analysis signal according to the positioning information of the potential risk equipment, and sends it to the thermal imaging temperature analysis module; the logic judgment unit matches the primary judgment result with the secondary judgment result to obtain a double-layer judgment fusion conclusion, generates a single-phase grounding fault signal according to the double-layer judgment fusion conclusion, and sends it to the early warning processing module.

[0026] As a further solution of the present invention: the early warning processing module obtains the location information of the corresponding faulty equipment according to the obtained single-phase grounding fault signal, and processes the signal sent by the operation and maintenance personnel. The specific process is as follows:

[0027] Each operation and maintenance personnel sends personal information to the early warning processing module. The personal information includes name, mobile phone number and layout information. The early warning processing module receives the single-phase grounding fault signal, obtains the location information of the corresponding faulty equipment according to the double-layer judgment fusion conclusion, and then obtains the operation and maintenance personnel on duty on the current date, marks them as online personnel, takes the faulty equipment as the center point, obtains the location information of the nearest online personnel, connects the center point of the faulty equipment and the location information of the online personnel, obtains the maintenance distance of the current online personnel, and sends the maintenance distance to the mobile terminal of the online personnel. The mobile terminal receives the maintenance distance and navigates to the faulty equipment.

[0028] As a further solution of the present invention: the data acquisition module monitors various data information in real time according to various types of sensors installed in the power grid, and the specific process is as follows:

[0029] Infrared thermal imagers are installed in various types of power grid equipment, including transformers, insulators and cable lines. The temperature change data of various types of power grid equipment are monitored in real time by infrared thermal imagers to obtain thermal imaging images of various types of power grid equipment; current data of various types of power grid equipment are monitored in real time by current sensors to obtain current parameter values ​​of various types of power grid equipment; voltage data of various types of power grid equipment are monitored in real time by voltage sensors to obtain voltage parameter values ​​of various types of power grid equipment; high-definition cameras are installed inside various types of power grid equipment, and the output end of data acquisition is connected to the input and output ends of the insulation monitoring and analysis module and the thermal imaging temperature analysis module, and the thermal imaging images of various types of power grid equipment are sent to the thermal imaging temperature analysis module, and the current parameter values ​​and voltage parameter values ​​are sent to the insulation monitoring and analysis module.

[0030] As a further solution of the present invention: the data center receives and stores the information sent by each module, and the specific process is as follows:

[0031] The data center receives the data information sent by each module in real time, sets the current data storage area, voltage data storage area and result storage area. When the data acquisition module sends the current parameter value and the voltage parameter value, the data center classifies them and stores them in the current data storage area and the voltage data storage area. For thermal imaging image data, they are named and stored according to the equipment number and acquisition time to facilitate quick retrieval and call. When receiving the dielectric loss coefficient and insulation aging assessment value result data sent by the insulation monitoring and analysis module, they are associated with the corresponding equipment number and stored in the result storage area.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: the thermal imaging temperature analysis module further analyzes the potential risk equipment based on the color characteristics, temperature changes and equipment shell status of the thermal imaging image, obtains the high temperature hidden danger index and the comprehensive quantitative value of heat-induced damage, provides a powerful supplement for fault judgment from a thermal perspective, accurately identifies the abnormal state of the equipment, and discovers the potential fault hidden danger comprehensive judgment module in advance; the primary judgment result (from the insulation monitoring and analysis module) and the secondary judgment result (from the thermal imaging temperature analysis module) are matched and integrated, and the double-layer judgment mechanism fully combines multiple information such as electrical performance and thermal characteristics, avoids misjudgment and missed judgment of a single judgment method, and improves the accuracy of single-phase grounding fault signal generation; the early warning processing module can quickly obtain the location information of the faulty equipment according to the fault signal, and promptly notify the nearest online personnel according to the layout information of the operation and maintenance personnel, which greatly shortens the fault processing time, and improves the reliability and safety of the power grid operation through long-term monitoring and analysis of the power grid equipment operation data. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0034] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0036] Please refer to Figure 1 As shown, the present invention is a power grid single-phase grounding fault early warning system, including a data acquisition module, an insulation monitoring and analysis module, a thermal imaging temperature analysis module, a comprehensive judgment module, a fault early warning module, a processing module and a data center.

[0037] The data acquisition module monitors various data information in real time based on various types of sensors installed in the power grid. The specific acquisition process is as follows:

[0038] Infrared thermal imagers are installed in various types of power grid equipment, including transformers, insulators, and cable lines. The temperature change data of various types of power grid equipment are monitored in real time by infrared thermal imagers to obtain thermal imaging images of various types of power grid equipment. Current data of various types of power grid equipment are monitored in real time by current sensors to obtain current parameter values ​​of various types of power grid equipment. Voltage data of various types of power grid equipment are monitored in real time by voltage sensors to obtain voltage parameter values ​​of various types of power grid equipment. High-definition cameras are installed inside various types of power grid equipment, and the output end of data acquisition is connected to the input and output ends of the insulation monitoring and analysis module and the thermal imaging temperature analysis module, and the thermal imaging images of various types of power grid equipment are sent to the thermal imaging temperature analysis module, and the current parameter values ​​and voltage parameter values ​​are sent to the insulation monitoring and analysis module.

[0039] The insulation monitoring and analysis module analyzes the insulation status of various types of power grid equipment and intelligently generates a primary determination result of a single-phase grounding fault. The specific process is as follows:

[0040] G01: The input end of the insulation monitoring and analysis module is connected to the output end of the data center. The insulation monitoring and analysis module includes a dielectric loss analysis unit, an aging assessment unit and a primary determination unit. The dielectric loss analysis unit installs a zero-crossing comparator on each power grid device to obtain the voltage signal and current signal of each type of power grid device. The voltage signal and current signal of each type of power grid device are input into the zero-crossing comparator. When the signal changes from the negative half cycle to the positive half cycle, the zero-crossing comparator generates a level jump signal. The voltage signal zero-crossing time t1 and the current zero-crossing time t2 in the level jump signal are extracted. The signal period is set to T3. The formula is used Get the phase difference between current and voltage of various types of power grid equipment Based on the phase difference, the dielectric loss coefficient of each type of power grid equipment is obtained, which is marked as DTai;

[0041] G02: The aging assessment unit obtains the start time point of each type of power grid equipment being put into use, and then ends at the system time point of each type of power grid equipment in the current system, and subtracts the start time point from the system time point to obtain the time period of operation corresponding to each type of power grid equipment, and divides the time period of operation into a number of time periods of operation, and obtains the current parameter value corresponding to each time period of operation, extracts the standard current value range of the data center, and compares the current parameter value corresponding to each time period of operation with the standard current value range, extracts the current parameter value greater than the standard current value range, and marks it as an abnormal current value, and counts the number of abnormal current values ​​to obtain the number of abnormal current values, and obtains the time period of operation corresponding to the abnormal current value, and marks it as an abnormal operation period, and analyzes the operation time period corresponding to each type of power grid equipment, the number of abnormal current values, and the abnormal operation period to obtain the insulation aging assessment value, which is marked as DEsi;

[0042] G03: The primary determination unit obtains the voltage parameter values ​​corresponding to the time periods of each type of power grid equipment that have been put into operation, matches the voltage parameter values ​​with the current parameter values, obtains the insulation resistance values ​​of each type of power grid equipment that have been put into operation for the time periods, obtains the insulation resistance values ​​of each type of power grid equipment that have been put into operation for the time periods, arranges the insulation resistance values, obtains the maximum insulation resistance value and the minimum insulation resistance value, and makes a difference between the maximum insulation resistance value and the minimum insulation resistance value to obtain the insulation resistance difference value DKci;

[0043] G04: Calculate the dielectric loss coefficient, insulation aging assessment value and insulation resistance difference value of each type of power grid equipment using the formula

[0044]

[0045] The single-phase grounding fault risk value DTk of each type of power grid equipment is obtained, where K1, K2 and K3 are preset proportional coefficients, i represents the number of the power grid equipment, and n represents the total number of power grid equipment. The preset single-phase grounding fault risk threshold of the data center is extracted, and the single-phase grounding fault risk value of each type of power grid equipment is compared with the preset single-phase grounding fault risk threshold. If the single-phase grounding fault risk value of a certain power grid equipment is greater than the preset single-phase grounding fault risk threshold, the power grid equipment is marked as a potential risk equipment, and a primary judgment result of the single-phase grounding fault of the potential risk equipment is generated, and the primary judgment result is sent to the comprehensive judgment module.

[0046] The thermal imaging temperature analysis module continues to analyze the power grid equipment based on the primary determination result, and intelligently generates a secondary determination result for the corresponding power grid equipment. The specific process is as follows:

[0047] K001: The input end of the thermal imaging temperature analysis module is connected to the output end of the data center and the comprehensive judgment module, and the secondary analysis signal is received to obtain the position of the corresponding potential risk equipment. The corresponding thermal imaging image is obtained according to the position of the corresponding potential risk equipment, and the temperature range of the blue pixel value is set to 20℃-40℃, the temperature range of the orange pixel value is set to 40℃-60℃, and the temperature range of the red pixel value is set to above 60℃. The color feature of the thermal imaging image of the potential risk equipment is extracted to obtain the pixel value of each color, and the number of orange pixel values ​​and the number of red pixel values ​​are counted to obtain the number of abnormal pixels of the potential risk equipment, which are marked as high-temperature warning pixels. The high-temperature warning area is obtained according to the scale of the thermal imaging image, and the total area of ​​the thermal imaging image is obtained. The total area is divided by the high-temperature warning area to obtain the high-temperature area ratio. The high-temperature hazard index WA is obtained based on the high-temperature warning pixel number and the high-temperature area ratio. 指数 ;

[0048] K002: Extract the preset temperature threshold of the data center. When the actual temperature value of the potential risk equipment is greater than the preset temperature threshold, mark the time point as the target temperature time point. Then obtain the high temperature cut-off time point corresponding to the actual temperature value less than the preset temperature threshold. Subtract the target temperature time point from the high temperature cut-off time point to obtain the high temperature duration, which is marked as SY. 时长 ;According to the duration of high temperature, the corresponding maximum value of high temperature is obtained, marked as SF 最大 ;

[0049] K003: Use a high-definition camera to identify the damaged area and number of damaged shells in the corresponding area, obtain the damaged area and number of damaged shells, and obtain the total damaged area based on the damaged area and number of damaged shells, marked as PY 面积 ;

[0050] K004: Calculate based on the obtained high temperature hazard index, maximum high temperature value, duration of high temperature and total damaged area, using the formula

[0051]

[0052] The comprehensive quantitative value FGS of thermal damage to the current potential risk equipment is obtained, where C1, C2, C3 and C4 are preset proportional coefficients, which are 0.91, 0.67, 1.25 and 0.37 respectively, and WQ 预设指数 Expressed as preset high temperature hazard index, ST 预设时长 It is represented by the preset high temperature duration, and the preset comprehensive quantitative threshold of thermal damage of the data center is extracted. The comprehensive quantitative value of thermal damage is compared with the preset comprehensive quantitative threshold of thermal damage. If the comprehensive quantitative value of thermal damage is greater than the preset comprehensive quantitative threshold of thermal damage, the potential risk equipment is marked as a faulty equipment, and a secondary judgment result of a single-phase grounding fault is generated, and the secondary judgment result is sent to the comprehensive judgment module.

[0053] The comprehensive determination module generates a single-phase ground fault signal according to the primary determination result and the secondary determination result. The specific process is as follows:

[0054] The comprehensive judgment module is composed of a receiving unit and a logic judgment unit. The receiving unit obtains a primary judgment result and sends the primary judgment result to the logic judgment unit. The logic judgment unit obtains the location information of the corresponding potential risk device according to the primary judgment result, generates a secondary analysis signal according to the location information of the potential risk device, and sends it to the thermal imaging temperature analysis module.

[0055] The receiving unit obtains the secondary judgment result and sends the secondary judgment result to the logic judgment unit. The logic judgment unit matches the primary judgment result with the secondary judgment result to obtain a double-layer judgment fusion conclusion. According to the double-layer judgment fusion conclusion, a single-phase grounding fault signal is generated and sent to the early warning processing module.

[0056] The early warning processing module obtains the location information of the corresponding faulty equipment according to the obtained single-phase grounding fault signal, and processes the signal sent by the operation and maintenance personnel. The specific process is as follows:

[0057] Each operation and maintenance personnel sends personal information to the early warning processing module. The personal information includes name, mobile phone number and layout information. The early warning processing module receives the single-phase grounding fault signal, obtains the location information of the corresponding faulty equipment according to the double-layer judgment fusion conclusion, and then obtains the operation and maintenance personnel on duty on the current date, marks them as online personnel, takes the faulty equipment as the center point, obtains the location information of the nearest online personnel, connects the center point of the faulty equipment and the location information of the online personnel, obtains the maintenance distance of the current online personnel, and sends the maintenance distance to the mobile terminal of the online personnel. The mobile terminal receives the maintenance distance and navigates to the faulty equipment.

[0058] The data center receives the data information sent by each module in real time, sets the current data storage area, voltage data storage area and result storage area. When the data acquisition module sends the current parameter value and the voltage parameter value, the data center classifies them and stores them in the current data storage area and the voltage data storage area. For thermal imaging image data, they are named and stored according to the equipment number and acquisition time to facilitate quick retrieval and call. When receiving the dielectric loss coefficient and insulation aging assessment value result data sent by the insulation monitoring and analysis module, they are associated with the corresponding equipment number and stored in the result storage area.

[0059] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A single-phase ground fault early warning system for a power grid, comprising a data acquisition module, an insulation monitoring and analysis module, a comprehensive determination module, an early warning processing module and a data center, characterized in that: It also includes a thermal imaging temperature analysis module; The thermal imaging temperature analysis module continues to analyze the power grid equipment according to the primary determination result, and intelligently generates a secondary determination result of the corresponding power grid equipment. It receives the secondary analysis signal and obtains the position of the corresponding potential risk equipment. It obtains the corresponding thermal imaging image according to the position of the corresponding potential risk equipment, extracts color features of the thermal imaging image of the potential risk equipment, obtains pixel values ​​of each color, counts the number of orange pixel values ​​and the number of red pixel values, obtains the number of abnormal pixels of the potential risk equipment, marks them as high-temperature warning pixels, obtains the high-temperature warning area according to the scale of the thermal imaging image, obtains the total area of ​​the thermal imaging image, divides the total area by the high-temperature warning area to obtain the high-temperature area ratio, and obtains the high-temperature hazard index based on the high-temperature warning pixel number and the high-temperature area ratio analysis; Extract the preset temperature threshold of the data center, mark the time point when the actual temperature value of the potential risk equipment is greater than the preset temperature threshold as the target temperature time point, then obtain the high temperature cut-off time point corresponding to when the actual temperature value is less than the preset temperature threshold, and subtract the target temperature time point from the high temperature cut-off time point to obtain the high temperature duration; The corresponding high temperature maximum value is obtained according to the duration of high temperature; the damaged area and the number of damaged shells in the corresponding area are identified by a high-definition camera, the damaged area and the number of damaged shells are obtained, and the total damaged area is obtained based on the damaged area and the number of damaged shells; The thermal damage model is used to output the thermal damage comprehensive quantitative value FGS of the current potential risk equipment, where C1, C2, C3 and C4 are preset proportional coefficients, and the preset thermal damage comprehensive quantitative threshold of the data center is extracted. The thermal damage comprehensive quantitative value is compared with the preset thermal damage comprehensive quantitative threshold. If the thermal damage comprehensive quantitative value is greater than the preset thermal damage comprehensive quantitative threshold, the potential risk equipment is marked as a faulty equipment, and a secondary determination result of a single-phase grounding fault is generated, and the secondary determination result is sent to the comprehensive determination module; The insulation monitoring and analysis module is equipped with a dielectric loss analysis unit, an aging assessment unit and a primary determination unit, which respectively analyze the dielectric loss coefficient, insulation aging assessment value and insulation resistance difference value of each type of power grid equipment; A receiving unit and a logic determination unit are provided in the comprehensive determination module. The receiving unit obtains a primary determination result and a secondary determination result. The logic determination unit generates a single-phase ground fault signal according to the primary determination result and the secondary determination result.

2. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The heat-induced damage model is Among them, C1, C2, C3 and C4 are preset proportional coefficients, WA 指数 is the high temperature hazard index, SY 时长 is the duration of high temperature, SF 最大 is the high temperature maximum value, PY 面积 is the total damaged area.

3. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The dielectric loss analysis unit of the insulation monitoring and analysis module analyzes the dielectric loss of various types of power grid equipment. The specific process is as follows: The input end of the insulation monitoring and analysis module is connected to the output end of the data center. The insulation monitoring and analysis module includes a dielectric loss analysis unit. The dielectric loss analysis unit is specifically as follows: a zero-crossing comparator is installed on each power grid device to obtain the voltage signal and current signal of each type of power grid device, and the voltage signal and current signal of each type of power grid device are input into the zero-crossing comparator. When the signal changes from the negative half cycle to the positive half cycle, the zero-crossing comparator generates a level jump signal, extracts the voltage signal zero-crossing time t1 and the current zero-crossing time t2 in the level jump signal, sets the signal period to T3, and uses the formula Get the phase difference between current and voltage of various types of power grid equipment The dielectric loss coefficient DTai of each type of power grid equipment is obtained based on the phase difference.

4. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The aging assessment unit analyzes the operating data of various types of power grid equipment. The specific process is as follows: Obtain the start time point when each type of power grid equipment is put into use, and then cut off the system time point of each type of power grid equipment in the current system, make a difference between the start time point and the system time point to obtain the time period that has been put into operation corresponding to each type of power grid equipment, divide the time period that has been put into operation into several divided time periods that have been put into operation, obtain the current parameter value corresponding to each divided time period that has been put into operation, extract the standard current value range of the data center, compare the current parameter value corresponding to each divided time period that has been put into operation with the standard current value range, extract the current parameter value greater than the standard current value range, mark it as an abnormal current value, count the number of abnormal current values, obtain the divided time period that has been put into operation corresponding to the abnormal current value, mark it as an abnormal operation period, and analyze based on the time periods that have been put into operation, the number of abnormal current values ​​and the abnormal operation period corresponding to each type of power grid equipment to obtain the insulation aging assessment value, marked as DEsi.

5. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The primary determination unit analyzes the dielectric loss coefficient, insulation aging assessment value and insulation resistance difference value, and intelligently generates the primary determination result of the single-phase grounding fault. The specific process is as follows: For each voltage parameter value corresponding to each type of grid equipment that has been put into operation, each voltage parameter value is matched with each current parameter value to obtain each insulation resistance value for each type of grid equipment that has been put into operation for each time period, obtain each insulation resistance value for each type of grid equipment that has been put into operation for each time period, arrange each insulation resistance value, obtain the maximum insulation resistance value and the minimum insulation resistance value, make a difference between the maximum insulation resistance value and the minimum insulation resistance value, and obtain an insulation resistance difference value DKci; Using the formula The single-phase grounding fault risk value DTk of each type of power grid equipment is obtained, where K1, K2 and K3 are preset proportional coefficients, i represents the number of the power grid equipment, and n represents the total number of power grid equipment. The preset single-phase grounding fault risk threshold of the data center is extracted, and the single-phase grounding fault risk value of each type of power grid equipment is compared with the preset single-phase grounding fault risk threshold. If the single-phase grounding fault risk value of a certain power grid equipment is greater than the preset single-phase grounding fault risk threshold, the power grid equipment is marked as a potential risk equipment, and a primary judgment result of the single-phase grounding fault of the potential risk equipment is generated, and the primary judgment result is sent to the comprehensive judgment module.

6. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The receiving unit of the comprehensive determination module obtains the primary determination result and the secondary determination result, and the specific process is as follows: The comprehensive determination module is composed of a receiving unit and a logic determination unit. The receiving unit obtains a primary determination result and sends the primary determination result to the logic determination unit. The receiving unit obtains a secondary determination result and sends the secondary determination result to the logic determination unit.

7. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The logic determination unit generates a single-phase ground fault signal according to the primary determination result and the secondary determination result. The specific process is as follows: The logic determination unit obtains the location information of the corresponding potential risk device according to the primary determination result, generates a secondary analysis signal according to the location information of the potential risk device and sends it to the thermal imaging temperature analysis module; The logic judgment unit matches the primary judgment result with the secondary judgment result to obtain a double-layer judgment fusion conclusion, and generates a single-phase grounding fault signal according to the double-layer judgment fusion conclusion and sends it to the early warning processing module.

8. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The early warning processing module obtains the location information of the corresponding faulty equipment according to the obtained single-phase grounding fault signal, and processes the signal sent by the operation and maintenance personnel. The specific process is as follows: Each operation and maintenance personnel sends personal information to the early warning processing module. The personal information includes name, mobile phone number and layout information. The early warning processing module receives the single-phase grounding fault signal, obtains the location information of the corresponding faulty equipment according to the double-layer judgment fusion conclusion, and then obtains the operation and maintenance personnel on duty on the current date, marks them as online personnel, takes the faulty equipment as the center point, obtains the location information of the nearest online personnel, connects the center point of the faulty equipment and the location information of the online personnel, obtains the maintenance distance of the current online personnel, and sends the maintenance distance to the mobile terminal of the online personnel. The mobile terminal receives the maintenance distance and navigates to the faulty equipment.

9. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The data acquisition module monitors various data information in real time based on various types of sensors installed in the power grid. The specific process is as follows: Infrared thermal imagers are installed in various types of power grid equipment, including transformers, insulators and cable lines. The temperature change data of various types of power grid equipment are monitored in real time by infrared thermal imagers to obtain thermal imaging images of various types of power grid equipment; current data of various types of power grid equipment are monitored in real time by current sensors to obtain current parameter values ​​of various types of power grid equipment; voltage data of various types of power grid equipment are monitored in real time by voltage sensors to obtain voltage parameter values ​​of various types of power grid equipment; high-definition cameras are installed inside various types of power grid equipment, and the output end of data acquisition is connected to the input and output ends of the insulation monitoring and analysis module and the thermal imaging temperature analysis module, and the thermal imaging images of various types of power grid equipment are sent to the thermal imaging temperature analysis module, and the current parameter values ​​and voltage parameter values ​​are sent to the insulation monitoring and analysis module.

10. A power grid single-phase grounding fault early warning system according to claim 1, characterized in that: The data center receives and stores the information sent by each module. The specific process is as follows: The data center receives the data information sent by each module in real time, sets the current data storage area, voltage data storage area and result storage area. When the data acquisition module sends the current parameter value and the voltage parameter value, the data center classifies them and stores them in the current data storage area and the voltage data storage area. For thermal imaging image data, they are named and stored according to the equipment number and acquisition time to facilitate quick retrieval and call. When receiving the dielectric loss coefficient and insulation aging assessment value result data sent by the insulation monitoring and analysis module, they are associated with the corresponding equipment number and stored in the result storage area.

Images