A safety early warning method and device for power system

Abstract

A safety early warning method and device for an electric power system, relating to the technical field of safety detection of electric power systems. In this method, target climate data corresponding to a target area is obtained, the target area is the area corresponding to the electric power system, and the target climate data packet includes first temperature data, humidity data, wind speed data, and precipitation data; first data corresponding to a target device is obtained, the target device is a device operating in the electric power system, and the first data includes second temperature data, vibration data, first current data, and first voltage data; the target climate data is integrated with the first data to obtain first information; the first information is input into a preset fault model for analysis to obtain a first fault state; a first early warning information is generated according to the first fault state, and the first early warning information is displayed to the user device. By implementing the technical solution provided in this application, real-time early warning can ensure that power grid operation and maintenance personnel are aware of the operating status of the power grid in a timely manner, greatly improving the accuracy of monitoring.

Description

Technical Field

[0001] The present application relates to the technical field of power system safety detection, and in particular to a safety early warning method and device for a power system. Background Art

[0002] Traditional power systems have long been highly dependent on fossil fuels such as coal and oil as their main energy supply. The combustion process of these fuels emits huge amounts of carbon dioxide and other greenhouse gases, posing a severe challenge to the global climate system and significantly exacerbating the trend of global warming and climate change. In view of this, the power industry is undergoing a critical period of transformation to a new power system, which is based on renewable energy, such as solar energy, wind energy and other clean energy. These resources produce almost no greenhouse gas emissions during the conversion and utilization process, and therefore have immeasurable value in reducing environmental pollution and mitigating the greenhouse effect.

[0003] The construction and promotion of new power systems not only marks a profound change in the way energy is used, but is also an important driving force for the widespread application and sustainable development of clean energy around the world. It aims to reduce dependence on limited and environmentally costly fossil fuels, promote the diversification and optimization of the energy supply structure, and lay a solid foundation for a low-carbon, green, and sustainable energy future. In order to ensure the safe, stable, and efficient operation of the new power system, real-time monitoring and accurate evaluation of the working status of the power grid are particularly important. However, current power grid monitoring methods are mostly limited to traditional appearance inspections and basic parameter monitoring, but it is impossible to analyze the working status of the power grid based on appearance inspections alone, resulting in inaccurate monitoring results.

[0004] Therefore, there is an urgent need for a safety early warning method and device for a power system that can solve the above technical problems. Summary of the invention

[0005] The present application provides a safety warning method and device for an electric power system. The method integrates target climate data with first data of equipment operation, analyzes the integrated data, identifies potential fault conditions, and can automatically generate first warning information. The real-time warning mechanism can ensure that power grid operation and maintenance personnel are aware of the operating status of the power grid in a timely manner, greatly improving the accuracy of monitoring.

[0006] In the first aspect, the present application provides a safety warning method for an electric power system, which is applied to a server, and the method includes: obtaining target climate data corresponding to a target area, the target area being the area corresponding to the electric power system, and the target climate data packet including first temperature data, humidity data, wind speed data and precipitation data; obtaining first data corresponding to a target device, the target device being a device operating in the electric power system, and the first data including second temperature data, vibration data, first current data and first voltage data; integrating the target climate data with the first data to obtain first information; inputting the first information into a preset fault model for analysis to obtain a first fault state; generating first warning information based on the first fault state, and displaying the first warning information to the user device.

[0007] By adopting the above technical solution, the climate data of the area where the power system is located is obtained, and the real-time data of the operation of the equipment inside the power system is also obtained. The multi-dimensional data collection method can comprehensively reflect the operation status of the power grid. The first information is obtained by integrating the target climate data with the first data of the equipment operation. The first information is input into a preset fault model for analysis to identify potential fault states. The first fault state is obtained based on the analysis, and the first warning information can be automatically generated based on the first fault state. Compared with the traditional appearance inspection method, the data-based monitoring method is more accurate, reflects the operation status of the power grid in real time, and greatly improves the accuracy of monitoring.

[0008] Optionally, a first warning information is generated based on the first fault state, specifically including: determining a first handling measure based on the first fault state, the first handling measure including equipment sub-measures, insulation measures and mechanical measures; if the second temperature data is greater than the preset temperature data, the first fault state is confirmed to be a temperature abnormality state, and equipment sub-measures are adopted for the target equipment according to the temperature abnormality state, and the equipment sub-measures include measures to add cooling equipment, shutdown and maintenance measures, and replacement measures; if the humidity data is greater than the preset humidity data, and the precipitation data is greater than the preset precipitation data, the first fault state is confirmed to be a rainfall abnormality state, and insulation measures are adopted for the target equipment according to the rainfall abnormality state, and the insulation measures include measures to install humidity regulating equipment or measures to use moisture-proof materials; if the wind speed data is greater than the preset wind speed data, the first fault state is confirmed to be a mechanical state, and mechanical measures are adopted for the target equipment according to the mechanical state, and the mechanical measures include measures to strengthen the mechanical structure and emergency power outage measures; the first fault state is integrated with the first handling measure and output as the first warning information.

[0009] By adopting the above technical solution, the first fault state is comprehensively analyzed according to the target climate data and equipment data, the fault type faced by the power system can be accurately identified, different processing measures are adopted for different fault states, the first fault state is integrated with the first processing measure, and output as the first early warning information, which can enable operation and maintenance personnel to quickly discover potential fault hazards, and perform fault troubleshooting and repair work according to the fault hazards, thereby improving operation and maintenance efficiency.

[0010] Optionally, after obtaining the first data corresponding to the target device, the method also includes: obtaining second data corresponding to the target power grid, the target power grid is a device for transmitting electric energy in the power system, and the second data includes second current data, second voltage data and first power data; integrating the target climate conditions with the second data to obtain second information; inputting the second information into a preset fault model for analysis to obtain a second fault state; generating second warning information based on the second fault state, and displaying the second warning information to the user device.

[0011] By adopting the above technical solution, it is necessary to obtain the electrical parameters of the target power grid, that is, the second data, and integrate the second data with the target climate data, so as to more comprehensively monitor the operation status of the power grid, and comprehensively monitor the operation characteristics of the power grid under different climate conditions. By real-time monitoring and analysis of the electrical parameters and climate data of the power grid, potential fault hazards can be quickly discovered, and corresponding early warning information can be generated, so as to realize more accurate monitoring and early warning of the power system.

[0012] Optionally, a second warning information is generated based on the second fault state, specifically including: determining a second processing measure based on the second fault state, the second processing measure including overload processing measures, line processing measures and voltage fluctuation processing measures; when the first temperature data is not in the first temperature table, the second fault state is confirmed to be an electric load state, and overload processing measures are adopted for the target power grid according to the electric load state, and the overload processing measures include enabling backup power supply measures, adjusting charge distribution measures and increasing power supply to the power grid; when the second fault state is a line short circuit state, line processing measures are adopted for the target power grid according to the line short circuit state, and the line processing measures include increasing the number of inspections; when the second fault state is a voltage fluctuation state, voltage fluctuation processing measures are adopted for the target power grid according to the voltage fluctuation state, and the voltage fluctuation processing measures include planning grid structure measures, installing voltage stabilization device measures and guiding users to use electrical equipment measures; the second fault state is integrated with the second processing measure and output as the second warning information.

[0013] By adopting the above technical solution, specific processing measures are formulated for different types of second fault states. Such detailed processing measures can respond to different fault conditions more accurately. Corresponding processing measures are adopted for different fault conditions of the target power grid to ensure the safe operation of the power grid. The second fault state is integrated with the second processing measure and output as the second early warning information, so that the operation and maintenance personnel can understand the fault condition and processing suggestions, which helps to improve the operation and maintenance efficiency.

[0014] Optionally, after acquiring the second data corresponding to the target power grid, the method further includes: determining a target waveform from the second data; judging whether the target waveform is consistent with a preset waveform; and when the target waveform is inconsistent with the preset waveform, confirming that the target power grid is in an abnormal transmission state; A third processing measure is determined according to the abnormal transmission state. The third processing measure is a measure of calling the first energy storage device to supply power. The first energy storage device is a device for storing electric energy in the power system.

[0015] By adopting the above technical solution, the target waveform is extracted from the second data, and the target waveform is compared with the preset waveform, so that the transmission status of the power grid can be monitored in real time. When the target waveform is inconsistent with the preset waveform, it can be accurately identified that the target power grid is in an abnormal transmission state. Once it is confirmed that the target power grid is in an abnormal transmission state, the first energy storage device can be immediately called to supply power. By introducing the energy storage device as an emergency power supply, the power grid can better maintain stable operation when facing abnormal situations.

[0016] Optionally, after acquiring the first data corresponding to the target device, the method further includes: acquiring third data corresponding to a second energy storage device, the second energy storage device being a device for storing electric energy in the power system, the third data including third temperature data, target pressure data, and second power data; The third data is integrated with the target climate data to obtain third information; the third information is input into a preset fault model for analysis to obtain a third fault state; third warning information is generated according to the third fault state, and the third warning information is displayed to the user device.

[0017] By adopting the above technical solution, the key parameters of the second energy storage device are fully monitored to obtain the third data. The third data is integrated and analyzed with the target climate data, which can more comprehensively consider the impact of climate factors on the operating status of the energy storage device. The comprehensive analysis helps to improve the accuracy of fault warning. According to the third warning information generated by the third fault state, the third warning information is sent to the user device in a timely manner, so that the user can understand the status and potential problems of the energy storage device in a timely manner. This helps to improve the user's satisfaction and trust in the power supply system and enhance the user experience.

[0018] Optionally, a third warning information is generated according to the third fault state, specifically including: determining a fourth processing measure according to the third fault state, the fourth processing measure including efficiency processing measures and fault processing measures; when the first temperature data is in the second temperature table, the third fault state is confirmed to be a high temperature state, and a first efficiency processing measure is adopted for the second energy storage device according to the high temperature state, and the first efficiency measure includes measures to increase cooling equipment and measures to reduce charging amount; when the first temperature data is in the third temperature table, the third fault state is confirmed to be a low temperature state, and a second efficiency processing measure is adopted for the second energy storage device according to the low temperature state, and the second efficiency processing measure includes heating and heat preservation measures and charging and discharging adjustment measures; when the third fault state is an energy storage device fault state, a fault processing measure is adopted for the second energy storage device according to the energy storage device fault state, and the fault processing measure includes replacing the energy storage device; the third fault state is integrated with the fourth processing measure and output as the third warning information.

[0019] By adopting the above technical solution, different fourth processing measures are formulated for different types of the third fault state, and different processing measures are adopted for the energy storage equipment to ensure that the energy storage equipment operates within an appropriate temperature range to avoid performance degradation; when the energy storage equipment fails, by immediately taking fault processing measures such as replacing the energy storage equipment, power supply can be quickly restored, reducing the impact of equipment failure on the power grid and users.

[0020] In a second aspect of the present application, a safety warning device for an electric power system is provided, the device is a server, and the server includes an acquisition unit, a processing unit and a display unit; the acquisition unit acquires target climate data corresponding to a target area, the target area is an area corresponding to the electric power system, and the target climate data packet includes first temperature data, humidity data, wind speed data and precipitation data; acquires first data corresponding to a target device, the target device is a device running in the electric power system, and the first data includes second temperature data, vibration data, first current data and first voltage data; the processing unit integrates the target climate data with the first data to obtain first information; the first information is input into a preset fault model for analysis to obtain a first fault state; the display unit generates first warning information according to the first fault state, and displays the first warning information to the user device.

[0021] Optionally, the processing unit is used to determine a first processing measure based on the first fault state, and the first processing measure includes equipment sub-measures, insulation measures and mechanical measures; if the second temperature data is greater than the preset temperature data, the first fault state is confirmed to be a temperature abnormality state, and equipment sub-measures are adopted for the target equipment according to the temperature abnormality state, and the equipment sub-measures include measures to add cooling equipment, shutdown and maintenance measures, and replacement measures; if the humidity data is greater than the preset humidity data, and the precipitation data is greater than the preset precipitation data, the first fault state is confirmed to be a rainfall abnormality state, and insulation measures are adopted for the target equipment according to the rainfall abnormality, and the insulation measures include measures to install humidity regulating equipment or measures to use moisture-proof materials; if the wind speed data is greater than the preset wind speed data, the first fault state is confirmed to be a mechanical state, and mechanical measures are adopted for the target equipment according to the mechanical state, and the mechanical measures include measures to strengthen the mechanical structure and emergency power outage measures; the first fault state is integrated with the first processing measure and output as the first warning information.

[0022] Optionally, the acquisition unit is used to acquire second data corresponding to the target power grid, the target power grid is a device for transmitting electric energy in the power system, and the second data includes second current data, second voltage data and first power data; the processing unit is used to integrate the target climate conditions with the second data to obtain second information; the second information is input into a preset fault model for analysis to obtain a second fault state; the display unit is used to generate second warning information according to the second fault state, and display the second warning information to the user device.

[0023] Optionally, the processing unit is used to determine a second processing measure based on the second fault state, and the second processing measures include overload processing measures, line processing measures and voltage fluctuation processing measures; when the first temperature data is not in the first temperature table, the second fault state is confirmed to be an electric load state, and overload processing measures are adopted for the target power grid according to the electric load state, and the overload processing measures include enabling backup power supply measures, adjusting charge distribution measures and increasing power supply to the power grid; when the second fault state is a line short circuit state, line processing measures are adopted for the target power grid according to the line short circuit state, and the line processing measures include increasing the number of inspections; when the second fault state is a voltage fluctuation state, voltage fluctuation processing measures are adopted for the target power grid according to the voltage fluctuation state, and the voltage fluctuation processing measures include planning the power grid structure measures, installing voltage stabilization device measures and guiding users to use electrical equipment measures; the second fault state is integrated with the second processing measure and output as a second early warning information.

[0024] Optionally, the processing unit is used to determine a target waveform from the second data; determine whether the target waveform is consistent with a preset waveform; when the target waveform is inconsistent with the preset waveform, confirm that the target power grid is in an abnormal transmission state; determine a third processing measure based on the abnormal transmission state, the third processing measure is a measure of calling the first energy storage device for power supply, the first energy storage device is a device for storing electrical energy in the power system.

[0025] Optionally, the acquisition unit is used to obtain third data corresponding to the second energy storage device, the second energy storage device is a device for storing electric energy in the power system, and the third data includes third temperature data, target pressure data and second power data; the processing unit is used to integrate the third data with the target climate data to obtain third information; the third information is input into a preset fault model for analysis to obtain a third fault state; the display unit is used to generate third warning information according to the third fault state, and display the third warning information to the user device.

[0026] Optionally, the processing unit is used to determine a fourth processing measure based on the third fault state, and the fourth processing measure includes an efficiency processing measure and a fault processing measure; when the first temperature data is in the second temperature table, the third fault state is confirmed to be a high temperature state, and a first efficiency processing measure is adopted for the second energy storage device according to the high temperature state, and the first efficiency measure includes measures to increase cooling equipment and measures to reduce charging amount; when the first temperature data is in the third temperature table, the third fault state is confirmed to be a low temperature state, and a second efficiency processing measure is adopted for the second energy storage device according to the low temperature state, and the second efficiency processing measure includes heating and heat preservation measures and charging and discharging adjustment measures; when the third fault state is an energy storage device fault state, a fault processing measure is adopted for the second energy storage device according to the energy storage device fault state, and the fault processing measure includes replacing the energy storage device; the third fault state is integrated with the fourth processing measure and output as a third warning information.

[0027] In a third aspect of the present application, an electronic device is provided, which includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that an electronic device executes any one of the methods described above in the present application.

[0028] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any one of the above methods of the present application is executed.

[0029] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Acquire climate data of the area where the power system is located, and also acquire real-time data of the operation of the equipment inside the power system. The multi-dimensional data collection method can fully reflect the operation status of the power grid. By integrating the target climate data with the first data of the equipment operation, the first information is obtained. The first information is input into the preset fault model for analysis to identify potential fault states. The first fault state is obtained according to the analysis, and the first warning information can be automatically generated according to the first fault state. Compared with the traditional appearance inspection method, the data-based monitoring method is more accurate, reflects the operation status of the power grid in real time, and greatly improves the accuracy of monitoring.

[0030] 2. It is necessary to obtain the electrical parameters of the target power grid, that is, the second data. By integrating the second data with the target climate data, the operation status of the power grid can be monitored more comprehensively. The comprehensive monitoring can be able to monitor the operation characteristics of the power grid under different climate conditions. The electrical parameters and climate data of the power grid are monitored in real time and analyzed. Potential fault hazards can be quickly discovered, and corresponding early warning information can be generated, so as to achieve more accurate monitoring and early warning of the power system.

[0031] 3. Comprehensively monitor the key parameters of the second energy storage device to obtain the third data. Integrate and analyze the third data with the target climate data to more comprehensively consider the impact of climate factors on the operating status of the energy storage device. Comprehensive analysis helps to improve the accuracy of fault warning. According to the third warning information generated by the third fault status, the third warning information is sent to the user device in a timely manner, so that the user can understand the status and potential problems of the energy storage device in a timely manner. This helps to improve the user's satisfaction and trust in the power supply system and enhance the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a flow chart of a safety early warning method for a power system provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a safety warning device for a power system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0033] Explanation of the reference numerals: 201, acquisition unit; 202, processing unit; 203, display unit; 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0034] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0035] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0036] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0037] Traditional power systems have long been highly dependent on fossil fuels such as coal and oil as their main energy supply. The combustion process of these fuels emits huge amounts of carbon dioxide and other greenhouse gases, posing a severe challenge to the global climate system and significantly exacerbating the trend of global warming and climate change. In view of this, the power industry is undergoing a critical period of transformation to a new power system, which is based on renewable energy, such as solar energy, wind energy and other clean energy. These resources produce almost no greenhouse gas emissions during the conversion and utilization process, and therefore have immeasurable value in reducing environmental pollution and mitigating the greenhouse effect.

[0038] The construction and promotion of new power systems not only marks a profound change in the way energy is used, but is also an important driving force for the widespread application and sustainable development of clean energy around the world. It aims to reduce dependence on limited and environmentally costly fossil fuels, promote the diversification and optimization of the energy supply structure, and lay a solid foundation for a low-carbon, green, and sustainable energy future. In order to ensure the safe, stable, and efficient operation of the new power system, real-time monitoring and accurate evaluation of the working status of the power grid are particularly important. However, current power grid monitoring methods are mostly limited to traditional appearance inspections and basic parameter monitoring, but it is impossible to analyze the working status of the power grid based on appearance inspections alone, resulting in inaccurate monitoring results.

[0039] Therefore, how to improve the accuracy of the power grid working status detection results is an urgent problem to be solved. The embodiment of the present application provides a safety warning method for a power system, which is applied to a server. The server of the present application can be a platform for providing safety detection for the power system. Figure 1 is a flow chart of a safety early warning method for a power system provided in an embodiment of the present application, with reference to Figure 1 The method includes the following steps S101-S105.

[0040] S101: Acquire target climate data corresponding to a target area, where the target area is an area corresponding to a power system, and the target climate data packet includes first temperature data, humidity data, wind speed data, and precipitation data.

[0041] In the above S101, the present application is to timely monitor the working state of the power system when it is in normal operation, analyze the fault of the power system based on the monitoring results, and then output the corresponding early warning prompt information. The power systems mentioned in this article all refer to new power systems, which use renewable energy as the core to generate electricity and serve as the main source of power supply. In order to ensure the promotion of new power systems in different regions, the corresponding power systems will be reasonably deployed based on specific geographical areas, that is, one power system covers one area. The specific geographical area covered by the power system, that is, the target area, is obtained. The target area can be determined based on the geographical layout and coverage of the power system. Due to climate changes, the working state of the new power system is greatly affected, so it is necessary to obtain the target climate data corresponding to the target area in real time. Various data sources such as meteorological stations, satellite remote sensing, and meteorological models can be used to obtain the climate data of the target area. These data usually include real-time and historical data. Extract the first temperature data, humidity data, wind speed data, and precipitation data from the collected climate data. These data are crucial to the operation and maintenance of the power system because they directly affect the performance and life of the power equipment. The collected climate data is pre-processed by cleaning, denoising, interpolation, etc. to obtain the target climate data.

[0042] S102: Acquire first data corresponding to a target device, where the target device is a device running in the power system, and the first data includes second temperature data, vibration data, first current data, and first voltage data.

[0043] In the above S102, after obtaining the target climate data corresponding to the target area, it is also necessary to monitor the target equipment in the power system, which refers to transformer equipment, generator equipment, and transmission lines. In order to better obtain the first data corresponding to the target equipment, a temperature sensor, a vibration sensor, a current sensor, a voltage sensor, etc. can be installed on the target equipment to obtain the operation data of the equipment in real time. The data monitored by the sensor is then collected to obtain the second temperature data, vibration data, first current data, and first voltage data of the target equipment.

[0044] S103: Integrate the target climate data and the first data to obtain first information.

[0045] In the above S103, the target climate data is then synchronized with the first data in time and space to ensure the consistency of the two in time and space. The features of the power system fault warning are extracted from the integrated data, that is, the precipitation data, wind speed data and temperature data in the target climate data, and the operation data in the target device can also be obtained, and the features of the two are combined into the first information.

[0046] S104: Input the first information into a preset fault model for analysis to obtain a first fault state.

[0047] In the above S104, before the first information is input into the preset fault model for analysis, it is necessary to construct the preset fault model, obtain historical climate data first, determine the working state of the target device under the historical climate data, and if the target device is in a normal state, obtain the first historical data corresponding to the target device in a normal state. If the target device is in an abnormal state, obtain the second historical data corresponding to the target device in an abnormal state. Analyze the historical climate data and the second historical data to obtain historical information, determine the historical fault state based on the historical information, and construct a preset fault model. The preset fault model stores the corresponding relationship between the historical information and the historical fault state. The preset fault model can predict the fault state of the power system based on the input climate data and the working time of the equipment. The first information is used as input data and sent to the preset fault model for analysis, and the first fault state is output.

[0048] In addition, since the target climate data includes multiple data, different data will obtain different weather information, and different weather information has different effects on the target device, so the temperature data, humidity data, precipitation data and wind speed data in the target climate data need to be judged in sequence, and then the first fault state corresponding to the target device can be confirmed. The first fault state includes abnormal temperature state, abnormal rainfall state and mechanical state.

[0049] S105: Generate first warning information according to the first fault state, and display the first warning information to the user equipment.

[0050] In the above S105, a first warning information is generated according to the first fault state, specifically including: determining a first processing measure according to the first fault state, the first processing measure including equipment sub-measures, insulation measures and mechanical measures; if the second temperature data is greater than the preset temperature data, the first fault state is confirmed to be a temperature abnormality state, and equipment sub-measures are adopted for the target equipment according to the temperature abnormality state, and the equipment sub-measures include measures for adding cooling equipment, shutdown and maintenance measures, and replacement measures; if the humidity data is greater than the preset humidity data, and the precipitation data is greater than the preset precipitation data, the first fault state is confirmed to be a rainfall abnormality state, and insulation measures are adopted for the target equipment according to the rainfall abnormality state, and the insulation measures include measures for installing humidity regulating equipment or measures for using moisture-proof materials; if the wind speed data is greater than the preset wind speed data, the first fault state is confirmed to be a mechanical state, and mechanical measures are adopted for the target equipment according to the mechanical state, and the mechanical measures include measures for strengthening the mechanical structure and measures for emergency power outage; the first fault state is integrated with the first processing measure and output as the first warning information.

[0051] Specifically, the first fault state is analyzed in depth, and the first treatment measure is determined according to the first fault state. Since there are multiple types of the first fault state, the corresponding first treatment measure can be selected from the preset treatment measure library. The treatment measure library should contain detailed response measures for different types of faults. The first treatment measure includes equipment sub-measures, insulation measures, and mechanical measures. Since high temperature weather may cause transformers, generators and other equipment to overheat, increasing the risk of failure. A high temperature climate data can be set. If the first temperature data is greater than the high temperature climate data, it is confirmed that the current target area is in high temperature weather, and the second temperature data corresponding to the target equipment is obtained. The second temperature data is judged. When the second temperature data is greater than the preset temperature data, it is confirmed that the target equipment is in an abnormal temperature state, and the equipment sub-measure is determined according to the abnormal temperature state. These measures may include: measures to add cooling equipment: add cooling equipment such as fans and cooling towers near the equipment to reduce the temperature of the equipment. Shutdown and maintenance measures: If the high temperature is caused by an internal fault in the equipment, it is recommended to shut down for detailed maintenance. Replacement measures: If the target equipment cannot be restored to normal temperature through maintenance due to aging or damage, it may be recommended to replace related components or the entire equipment. Then obtain the precipitation data and humidity data in the target climate data. When the humidity data is greater than the preset humidity data and the precipitation data is greater than the preset precipitation data, it is confirmed that the target climate is in rainy weather. Since excessive humidity will affect the insulation performance of the target device, resulting in short circuit or leakage. The first current data and the first voltage data can be further analyzed to determine whether the target device is in an abnormal state. If it is determined that the first current data and the first voltage data are abnormal, it is confirmed that the target device is in an abnormal rainfall state. According to the abnormal rainfall state, select the corresponding insulation measures. Measures for installing humidity adjustment equipment: install dehumidifiers, heaters and other equipment around or inside the equipment to adjust the humidity environment. Measures for using moisture-proof materials: wrap or coat the key components or shells of the equipment with moisture-proof materials to prevent moisture from intruding. Since strong winds can damage mechanical structures such as transmission lines and towers, the wind speed data in the target climate data can be obtained first. If the wind speed data is greater than the preset wind speed data, then the vibration data of the target device can be obtained. If the vibration data is greater than the preset vibration data, it is confirmed that the target device is currently in an abnormal mechanical state, which may be caused by strong winds. Vibration or structural damage to the equipment. According to the abnormal mechanical state, select the corresponding mechanical measures. These measures may include: Strengthening the mechanical structure: Strengthen the mechanical structure of the equipment, such as adding support structures, tightening bolts, etc., to improve the wind resistance of the equipment. Emergency power outage measures: Strong winds may cause serious damage to the equipment or endanger the safety of personnel. Emergency power outage is recommended to avoid further losses. Integrate the detailed description of the first fault state, the possible impact range, and the specific treatment measures for the fault state to form a complete first warning information.The first warning information is sent to relevant user devices in a timely manner through appropriate communication channels (such as SMS, email, APP push, etc.), such as the power company's monitoring center, the operation and maintenance personnel's mobile phone or tablet computer, etc. The warning information should clearly explain the fault status, treatment measures and urgency so that users can respond quickly and take appropriate actions. Fault monitoring is performed on target equipment in the power system based on target climate data, and different fault states are output based on the monitoring results, and corresponding treatment measures are recommended, so as to help users respond to potential risks and problems in the power system in a timely and effective manner.

[0052] In a possible implementation, in addition to monitoring the equipment in the power system, the operation status of the power grid can also be monitored in real time, and potential power grid failure risks can be discovered and warned in time, which helps to improve the safety of the power grid. The second data corresponding to the target power grid is obtained, and the target power grid is a device for transmitting electric energy in the power system. The second data includes second current data, second voltage data, and first power data; the target climate condition is integrated with the second data to obtain second information; the second information is input into a preset fault model for analysis to obtain a second fault state; the second warning information is generated according to the second fault state, and the second warning information is displayed to the user device. Specifically, the target power grid is a key device or network responsible for transmitting electric energy in the power system. Using sensors or monitoring equipment installed on the target power grid, various data in the operation of the power grid, that is, second data, are collected in real time. The second data includes second current data (indicating the intensity and direction of the current in the power grid), second voltage data (indicating the level and stability of the voltage in the power grid), and first power data (indicating the power of the electric energy transmitted or converted by the power grid). The collected raw data is processed, including steps such as denoising, filtering, and calibration to ensure the accuracy and reliability of the data. Through weather stations, weather satellites or other weather data sources, obtain the climate conditions related to the area where the target power grid is located, such as temperature, humidity, wind speed, precipitation, etc. The acquired climate condition data is integrated with the previously processed power grid operation data (i.e., the second data). This step may involve time synchronization, spatial matching, and possible normalization of the two types of data for subsequent analysis. The integrated data forms the second information, which contains a comprehensive description of the power grid operation status and climate conditions, providing comprehensive data support for subsequent fault analysis. Before the second information is input into the preset fault model for analysis and the second fault state is obtained, one or more prediction and analysis models for power grid faults need to be constructed. These models are based on a large amount of historical data and expert knowledge, and can identify the potential failure modes of the power grid under different climate conditions. The second information is used as input data and sent to the preset fault model. The model will perform a series of complex calculations and analyses on the input data to evaluate the current operation status of the power grid and the potential failure risk. The preset fault model outputs the analysis result, i.e., the second fault state.

[0053] In addition, a second warning information is generated according to the second fault state, specifically including: determining a second processing measure according to the second fault state, the second processing measure includes an overload processing measure, a line processing measure, and a voltage fluctuation processing measure; when the first temperature data is not in the first temperature table, the second fault state is confirmed to be an electric load state, and an overload processing measure is adopted for the target power grid according to the electric load state, and the overload processing measure includes enabling backup power supply measures, adjusting charge distribution measures, and increasing power grid power supply measures; when the second fault state is a line short circuit state, a line processing measure is adopted for the target power grid according to the line short circuit state, and the line processing measure includes increasing the number of inspections; when the second fault state is a voltage fluctuation state, a voltage fluctuation processing measure is adopted for the target power grid according to the voltage fluctuation state, and the voltage fluctuation processing measure includes planning grid structure measures, installing voltage stabilization device measures, and guiding users to use electrical equipment measures; the second fault state is integrated with the second processing measure and output as the second warning information. Specifically, the first temperature data is obtained, and when the first temperature data is not in the first temperature table, the first temperature table represents multiple temperature data other than high temperature and low temperature weather. When the first temperature data is not in the first temperature table, it is confirmed that the target climate corresponds to high or low temperature weather. In high or low temperature weather, the power load will surge, thereby exceeding the carrying capacity of the power grid. The second current data and the second voltage data can be analyzed to determine that the current target power grid is in an electric load state, that is, there is an overload risk. If the power grid is seriously overloaded, it may affect the normal power supply. At this time, the backup power supply system should be immediately enabled to share the load pressure of the main power grid and ensure the power supply of key equipment and areas. By adjusting the charge distribution of different areas or users in the power grid, the power supply of important loads is prioritized, while reducing the power consumption of non-essential loads to alleviate the overload of the power grid. This may require communication and coordination with power users to implement an orderly power consumption plan. The precipitation data and humidity data in the target climate data are judged, and then the target climate weather is strong wind or rainstorm weather, and then the second current data and the second voltage data in the target power grid are judged to determine whether the power grid has a line short circuit fault, that is, the transmission line trips or short circuits. Once the line short circuit state is confirmed, the number of inspections of the fault area should be increased immediately, and professionals should be sent to the site for investigation and repair. During inspections, we should focus on the line conditions at the fault point and its surrounding areas, and promptly discover and deal with potential hidden dangers. The voltage parameters of the target power grid can be monitored to determine whether the power grid is in a voltage fluctuation state. For the problem of voltage fluctuation, we can start with the power grid structure for optimization. By rationally planning the power grid layout and adjusting the location of transformers, we can improve the voltage distribution of the power grid and reduce the occurrence of voltage fluctuations. Installing voltage stabilization devices (such as voltage stabilizers, reactive power compensation devices, etc.) in the power grid can automatically adjust the voltage level when the voltage fluctuates to ensure the normal operation of power equipment. These devices should be selected and configured according to the actual situation of the power grid.Through publicity and education activities, users can be guided to use electrical equipment reasonably and avoid concentrated use of high-power electrical appliances during peak hours to reduce the impact and fluctuation on the grid voltage. At the same time, users are encouraged to use energy-saving electrical equipment to reduce energy consumption and load pressure. Integrate the second fault state (electrical load state, line short circuit state, voltage fluctuation state) with the corresponding second treatment measures (overload treatment measures, line treatment measures, voltage fluctuation treatment measures). Ensure that each fault state has clear treatment measures and response plans. Generate detailed second warning information based on the integrated information. The warning information should include information such as the description of the fault state, the possible scope of impact, and the recommended treatment measures.

[0054] Further, when the power supply is unstable during the transmission process of the target power grid, the energy storage device can be called in time to supply power, thereby ensuring the stable operation and power supply of the power system. Determine the target waveform from the second data; determine whether the target waveform is consistent with the preset waveform; when the target waveform is inconsistent with the preset waveform, it is confirmed that the target power grid is in an abnormal transmission state; determine the third processing measure according to the abnormal transmission state, and the third processing measure is a measure of calling the first energy storage device for power supply, and the first energy storage device is a device for storing electric energy in the power system. Specifically, the second data is obtained, and the second data includes the second current data, the second voltage data and the first frequency data, and the second data is preprocessed to obtain the preprocessed second data. Then, the target waveform is extracted from the preprocessed second data using signal processing technology (such as Fourier transform, wavelet transform, etc.). These waveforms may represent the changes in voltage, current and other signals at a specific location or a specific time period in the power grid. The extracted waveform is identified to determine whether it is a target waveform that needs attention. Then the target waveform is compared with the preset waveform, which is usually obtained based on historical data or theoretical models when the power grid is operating normally, and represents the ideal operating state of the power grid under specific conditions. The extracted target waveform is compared with the preset waveform. The comparison method may include directly comparing the waveform shape, calculating the similarity between the waveforms (such as correlation coefficient, mean square error, etc.), or using a special waveform matching algorithm. Determine whether the target waveform is consistent with the preset waveform based on the comparison result. This usually involves setting a threshold value, and when the similarity exceeds the threshold value, the waveform is considered to be consistent, otherwise it is considered inconsistent. Once it is determined that the target waveform is inconsistent with the preset waveform, it can be confirmed that the target power grid is in an abnormal transmission state. This abnormal state may be caused by a variety of reasons, such as equipment failure, line failure, load mutation, etc. After confirming that the target power grid is in an abnormal transmission state, select appropriate processing measures according to the specific situation of the abnormality and the actual situation of the power system. In this technical solution, it is possible to choose to call the first energy storage device for power supply as the third processing measure. Send a control instruction to the first energy storage device to switch it to the power supply mode. The first energy storage device may be a battery energy storage system, a supercapacitor energy storage system, or other types of energy storage devices. During the switching process, it is necessary to ensure that the output voltage, current and other parameters of the energy storage device match the power grid demand. During the power supply process of the energy storage device, the power grid operation status and the energy storage device operation status are monitored in real time. If any abnormal situation is found (such as insufficient power in the energy storage equipment, excessive grid voltage fluctuations, etc.), timely measures should be taken to deal with it.

[0055] In a possible implementation, the operating state of the energy storage device in the power system can also be monitored in real time, and fault warnings can be issued based on the monitoring results to improve the safety of the power system. The third data corresponding to the second energy storage device is obtained. The second energy storage device is a device for storing electric energy in the power system. The third data includes third temperature data, target pressure data, and second power data; the third data is integrated with the target climate data to obtain third information; the third information is input into a preset fault model for analysis to obtain a third fault state; a third warning information is generated based on the third fault state, and the third warning information is displayed to the user device. Specifically, the position of the second energy storage device in the power system needs to be clarified, and the data acquisition device or sensor connected thereto needs to be determined. The operating data of the second energy storage device is obtained in real time through the data acquisition device or sensor, and these data constitute a third data set. The third data generally includes but is not limited to third temperature data (reflecting the temperature state of the energy storage device), target pressure data (for certain types of energy storage devices, such as compressed gas energy storage, pressure is an important parameter), and second power data (indicating the current input and output power of the energy storage device). The collected third data is verified to ensure the accuracy and integrity of the data. This includes checking whether the data is within a reasonable range, whether there are abnormal values ​​or missing values, etc. Obtain climate data related to the target power grid area from a weather station, climate database or other reliable sources. These data include factors such as temperature, humidity, wind speed, etc. that may affect the operation of energy storage equipment. Integrate the third data (operation data of energy storage equipment) with the target climate data (external environment data). The integration method can be simple data splicing or combining the two into a more comprehensive data set through data fusion technology. The integrated data is called the third information, which contains the operating status of the energy storage equipment under specific climate conditions. The preset fault model is a model established in advance for energy storage equipment fault analysis. The preset fault model can be based on machine learning, deep learning or traditional statistical methods, and is used to identify potential faults or abnormal states of energy storage equipment under different climate conditions. The integrated third information is used as input data and input into the preset fault model. The preset fault model analyzes the input data and determines whether the energy storage equipment is currently in a normal state or whether there is a certain fault or abnormal state through calculation, comparison and reasoning. After the preset fault model analysis is completed, the third fault state is output. This state can be specific information such as fault type, fault degree or abnormal level. According to the third fault state, the corresponding third warning information is generated. The warning information should include a detailed description of the fault or abnormality, the possible scope of impact, and recommended treatment measures.

[0056] In addition, the third warning information is generated according to the third fault state, specifically including: determining the fourth treatment measure according to the third fault state, the fourth treatment measure includes efficiency treatment measures and fault treatment measures; when the first temperature data is in the second temperature table, the third fault state is confirmed to be a high temperature state, and the first efficiency treatment measure is adopted for the second energy storage device according to the high temperature state, and the first efficiency measure includes increasing cooling equipment measures and reducing charging amount measures; when the first temperature number is in the third temperature table, the third fault state is confirmed to be a low temperature state, and the second efficiency treatment measure is adopted for the second energy storage device according to the low temperature state, and the second treatment measure includes heating and heat preservation measures and adjusting charging and discharging measures; when the third fault state is an energy storage device fault state, a fault treatment measure is adopted for the second energy storage device according to the energy storage device fault state, and the fault treatment measure includes replacing the energy storage device; the third fault state is integrated with the fourth treatment measure and output as the third warning information. Specifically, the third fault state is analyzed in detail to determine whether it belongs to a high temperature state, a low temperature state or an energy storage device fault state. This is usually based on a comparison of preset fault judgment logic and thresholds. According to the third fault state obtained by the analysis, the corresponding fourth treatment measure is selected from the preset treatment measure library. These measures include efficiency treatment measures and fault treatment measures, which are respectively for different types of fault conditions. Compare the first temperature data with the second temperature table (including the temperature table with high temperature threshold) to confirm that it is in high temperature weather. In high temperature weather, the charging and discharging efficiency of the energy storage device will be affected, so it is confirmed that the energy storage device is in a high temperature state. Add cooling equipment measures: If it is confirmed that it is in a high temperature state, first check and start or add cooling equipment, such as fans, water cooling systems, etc., to reduce the temperature of the energy storage device. Reduce the charging amount measures: At the same time, adjust the charging strategy of the energy storage device, reduce the charging amount or suspend charging to reduce the heat generated by charging and prevent the device from overheating. Compare the first temperature data with the third temperature table (including the temperature table with low temperature threshold) to confirm whether it is in a low temperature state. Heating and insulation measures: If it is confirmed that it is in a low temperature state, start the heating equipment or take insulation measures, such as heating pads, insulation layers, etc., to increase the temperature of the energy storage device. Adjust the charging and discharging measures: According to the impact of low temperature on the performance of the energy storage device, adjust the charging and discharging strategy, such as reducing the discharge speed, increasing the preheating time before charging, etc., to ensure the normal operation of the equipment. When the target climate is in extremely high or low temperatures, the internal components of the energy storage device will be damaged or fail. If the third fault state is a fault state of the energy storage device, a detailed fault analysis and diagnosis will be performed to determine the specific cause and location of the fault. After finding the damaged equipment, better energy storage equipment: For faulty equipment that cannot be repaired or the cost of repair is too high, measures are taken to replace the energy storage equipment. This includes steps such as purchasing new equipment, dismantling old equipment, installing new equipment and debugging it. Integrate the third fault state, the fourth handling measures, and related handling suggestions, precautions and other information to form a complete third warning information.The third warning information is output to relevant personnel in a timely manner through channels such as monitoring systems, alarm equipment, and user equipment. The output methods can include text, graphics, sound, and other forms to ensure that the information can be accurately and quickly conveyed to the recipient. Timely response and processing of the second energy storage device under different fault conditions can be achieved, improving the safety and reliability of the power system. At the same time, by integrating the fault status and processing measures as warning information for output, it helps relevant personnel quickly understand the problem and take effective measures to deal with it.

[0057] Through the above method, according to the target area where the power system is located, the climate data corresponding to the target area is obtained, and the data corresponding to the target equipment, power grid and energy storage equipment in the power system are obtained in turn, and the climate data is integrated with the target equipment operation data, power grid data and energy storage equipment operation data respectively, to further analyze the potential fault risks under different climatic conditions, timely discover the current fault risks of the power system, issue early warnings based on fault discovery, and output corresponding processing measures at the same time as the early warning information, so as to improve the safety and reliability of the power system.

[0058] The present application also provides a safety warning device for a power system. Figure 2 This is a schematic diagram of a safety warning device for a power system provided in an embodiment of the present application, with reference to Figure 2 The device is a server, and the server includes an acquisition unit 201, a processing unit 202 and a display unit 203.

[0059] An acquisition unit 201 acquires target climate data corresponding to a target area, where the target area is an area corresponding to an electric power system, and the target climate data packet includes first temperature data, humidity data, wind speed data, and precipitation data; and acquires first data corresponding to a target device, where the target device is a device operating in the electric power system, and the first data includes second temperature data, vibration data, first current data, and first voltage data.

[0060] The processing unit 202 integrates the target climate data and the first data to obtain first information; inputs the first information into a preset fault model for analysis to obtain a first fault state.

[0061] The display unit 203 generates first warning information according to the first fault state, and displays the first warning information to the user equipment.

[0062] In a possible implementation, the processing unit 202 is used to determine a first processing measure based on the first fault state, and the first processing measure includes equipment sub-measures, insulation measures and mechanical measures; if the second temperature data is greater than the preset temperature data, the first fault state is confirmed to be a temperature abnormality state, and equipment sub-measures are adopted for the target device according to the temperature abnormality state, and the equipment sub-measures include measures to add cooling equipment, shutdown and maintenance measures and replacement measures; if the humidity data is greater than the preset humidity data, and the precipitation data is greater than the preset precipitation data, the first fault state is confirmed to be a rainfall abnormality state, and insulation measures are adopted for the target device according to the rainfall abnormality state, and the insulation measures include measures to install humidity regulating equipment or measures to use moisture-proof materials; if the wind speed data is greater than the preset wind speed data, the first fault state is confirmed to be a mechanical state, and mechanical measures are adopted for the target device according to the mechanical state, and the mechanical measures include measures to strengthen the mechanical structure and emergency power outage measures; the first fault state is integrated with the first processing measure and output as the first warning information.

[0063] In a possible implementation, the acquisition unit 201 is used to acquire second data corresponding to the target power grid, where the target power grid is a device for transmitting electric energy in the power system, and the second data includes second current data, second voltage data, and first power data; the processing unit 202 is used to integrate the target climate conditions with the second data to obtain second information; the second information is input into a preset fault model for analysis to obtain a second fault state; the display unit 203 is used to generate second warning information according to the second fault state, and display the second warning information to the user device.

[0064] In one possible implementation, the processing unit 202 is used to determine a second processing measure based on the second fault state, and the second processing measure includes an overload processing measure, a line processing measure, and a voltage fluctuation processing measure; when the first temperature data is not in the first temperature table, the second fault state is confirmed to be an electric load state, and overload processing measures are adopted for the target power grid according to the electric load state, and the overload processing measures include enabling backup power supply measures, adjusting charge distribution measures, and increasing power supply to the power grid; when the second fault state is a line short circuit state, line processing measures are adopted for the target power grid according to the line short circuit state, and the line processing measures include increasing the number of inspections; when the second fault state is a voltage fluctuation state, voltage fluctuation processing measures are adopted for the target power grid according to the voltage fluctuation state, and the voltage fluctuation processing measures include planning power grid structure measures, installing voltage stabilization device measures, and guiding users to use electrical equipment measures; the second fault state is integrated with the second processing measure and output as a second early warning information.

[0065] In one possible implementation, the processing unit 202 is used to determine a target waveform from the second data; determine whether the target waveform is consistent with a preset waveform; when the target waveform is inconsistent with the preset waveform, confirm that the target power grid is in an abnormal transmission state; determine a third processing measure based on the abnormal transmission state, the third processing measure is a measure of calling the first energy storage device for power supply, and the first energy storage device is a device for storing electrical energy in the power system.

[0066] In a possible implementation, the acquisition unit 201 is used to acquire third data corresponding to the second energy storage device, where the second energy storage device is a device for storing electric energy in the power system, and the third data includes third temperature data, target pressure data, and second power data; the processing unit 202 is used to integrate the third data with the target climate data to obtain third information; the third information is input into a preset fault model for analysis to obtain a third fault state; the display unit 203 is used to generate third warning information according to the third fault state, and display the third warning information to the user device.

[0067] In a possible implementation, the processing unit 202 is used to determine a fourth processing measure according to the third fault state, and the fourth processing measure includes an efficiency processing measure and a fault processing measure; when the first temperature data is in the second temperature table, the third fault state is confirmed to be a high temperature state, and the first efficiency processing measure is adopted for the second energy storage device according to the high temperature state, and the first efficiency measure includes adding cooling equipment measures and reducing charging amount measures; when the first temperature data is in the third temperature table, the third fault state is confirmed to be a low temperature state, and the second efficiency processing measure is adopted for the second energy storage device according to the low temperature state, and the second processing measure includes heating and heat preservation measures and charging and discharging adjustment measures; when the third fault state is an energy storage device fault state, a fault processing measure is adopted for the second energy storage device according to the energy storage device fault state, and the fault processing measure includes replacing the energy storage device; the third fault state is integrated with the fourth processing measure and output as the third warning information.

[0068] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0069] The present application also discloses an electronic device. Figure 3 , Figure 3The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0070] The communication bus 302 is used to realize the connection and communication between these components.

[0071] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0072] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0073] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application requests; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0074] Among them, the memory 305 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area. Instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. can be stored; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 305 can also be optionally at least one storage device located away from the aforementioned processor 301.

[0075] like Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for safety warning of the power system.

[0076] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call the application program storing the safety warning of the power system in the memory 305. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.

[0077] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0078] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0079] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0080] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0081] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0082] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0083] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure.

Claims

1. A safety early warning method for a power system, characterized in that: Applied in a server, the method comprises: Acquire target climate data corresponding to a target area, the target area being an area corresponding to the power system, the target climate data package including first temperature data, humidity data, wind speed data, and precipitation data; Acquire first data corresponding to a target device, where the target device is a device running in the power system, and the first data includes second temperature data, vibration data, first current data, and first voltage data; Integrating the target climate data with the first data to obtain first information; Inputting the first information into a preset fault model for analysis to obtain a first fault state; Generate a first warning information according to the first fault state, wherein the generating of the first warning information according to the first fault state specifically includes: determining a first processing measure according to the first fault state, wherein the first processing measure includes equipment sub-measures, insulation measures and mechanical measures; if the second temperature data is greater than the preset temperature data, then the first fault state is confirmed to be a temperature abnormality state, and the equipment sub-measures are adopted for the target device according to the temperature abnormality state, and the equipment sub-measures include measures of adding cooling equipment, measures of shutting down for maintenance and measures of replacement; if the humidity data is greater than the preset humidity data, and the precipitation data is greater than the preset precipitation data, then the first fault state is confirmed to be a rainfall abnormality state, and the insulation measures are adopted for the target device according to the rainfall abnormality state, and the insulation measures include measures of installing humidity regulating equipment or measures of using moisture-proof materials; if the wind speed data is greater than the preset wind speed data, then the first fault state is confirmed to be a mechanical state, and the mechanical measures are adopted for the target device according to the mechanical state, and the mechanical measures include measures of strengthening mechanical structure and measures of emergency power outage; The first fault state and the first processing measure are integrated and output as the first warning information, and the first warning information is displayed to the user equipment.

2. The method according to claim 1, characterized in that After acquiring the first data corresponding to the target device, the method further includes: Acquire second data corresponding to a target power grid, where the target power grid is a device for transmitting electric energy in the power system, and the second data includes second current data, second voltage data, and first power data; Integrating the target climate condition with the second data to obtain second information; Inputting the second information into the preset fault model for analysis to obtain a second fault state; Generate second warning information according to the second fault state, and display the second warning information to the user equipment.

3. The method according to claim 2, characterized in that The generating second warning information according to the second fault state specifically includes: Determine a second processing measure according to the second fault state, the second processing measure comprising an overload processing measure, a line processing measure, and a voltage fluctuation processing measure; When the first temperature data is not in the first temperature table, it is confirmed that the second fault state is an electric load state, and the overload processing measures are adopted for the target power grid according to the electric load state, and the overload processing measures include enabling a backup power supply measure, adjusting a charge distribution measure, and increasing a power supply measure for the power grid; When the second fault state is a line short circuit state, adopting the line processing measure for the target power grid according to the line short circuit state, the line processing measure includes increasing the number of inspections; When the second fault state is a voltage fluctuation state, the voltage fluctuation processing measures are adopted on the target power grid according to the voltage fluctuation state, and the voltage fluctuation processing measures include measures for planning the structure of the power grid, measures for installing voltage stabilization devices, and measures for guiding users to use electrical equipment; The second fault state and the second processing measure are integrated and output as the second warning information.

4. The method according to claim 2, characterized in that: After acquiring the second data corresponding to the target power grid, the method further includes: determining a target waveform from the second data; Determining whether the target waveform is consistent with a preset waveform; When the target waveform is inconsistent with the preset waveform, it is confirmed that the target power grid is in an abnormal transmission state; A third processing measure is determined according to the abnormal transmission state, wherein the third processing measure is a measure of calling a first energy storage device for power supply, and the first energy storage device is a device for storing electric energy in the power system.

5. The method according to claim 1, characterized in that After acquiring the first data corresponding to the target device, the method further includes: Acquire third data corresponding to a second energy storage device, where the second energy storage device is a device for storing electric energy in the power system, and the third data includes third temperature data, target pressure data, and second power data; Integrating the third data with the target climate data to obtain third information; Inputting the third information into the preset fault model for analysis to obtain a third fault state; Generate third warning information according to the third fault state, and display the third warning information to the user equipment.

6. The method according to claim 5, characterized in that The generating the third warning information according to the third fault state specifically includes: Determine a fourth processing measure according to the third fault state, wherein the fourth processing measure includes an efficiency processing measure and a fault processing measure; When the first temperature data is in the second temperature table, it is confirmed that the third fault state is a high temperature state, and a first efficiency treatment measure is adopted for the second energy storage device according to the high temperature state, wherein the first efficiency measure includes adding cooling equipment measures and reducing charging amount measures; When the first temperature value is in the third temperature table, it is confirmed that the third fault state is a low temperature state, and a second efficiency treatment measure is adopted for the second energy storage device according to the low temperature state, wherein the second efficiency treatment measure includes a heating and heat preservation measure and a charge and discharge adjustment measure; When the third fault state is an energy storage device fault state, a fault handling measure is adopted for the second energy storage device according to the energy storage device fault state, and the fault handling measure includes replacing the energy storage device; The third fault state and the fourth processing measure are integrated and output as the third warning information.

7. A safety warning device for an electric power system, characterized in that: The device is a server, and the server comprises an acquisition unit (201), a processing unit (202) and a display unit (203); The acquisition unit (201) acquires target climate data corresponding to a target area, the target area being an area corresponding to the power system, the target climate data packet including first temperature data, humidity data, wind speed data and precipitation data; acquires first data corresponding to a target device, the target device being a device running in the power system, the first data including second temperature data, vibration data, first current data and first voltage data; The processing unit (202) integrates the target climate data and the first data to obtain first information; Inputting the first information into a preset fault model for analysis to obtain a first fault state; The display unit (203) generates first warning information according to the first fault state, wherein the generating of the first warning information according to the first fault state specifically comprises: determining a first processing measure according to the first fault state, wherein the first processing measure comprises equipment sub-measures, insulation measures and mechanical measures; If the second temperature data is greater than the preset temperature data, it is confirmed that the first fault state is a temperature abnormality state, and the equipment sub-measures are adopted for the target device according to the temperature abnormality state, and the equipment sub-measures include measures for adding cooling equipment, shutdown and maintenance measures, and replacement measures; if the humidity data is greater than the preset humidity data, and the precipitation data is greater than the preset precipitation data, it is confirmed that the first fault state is a rainfall abnormality state, and the insulation measures are adopted for the target device according to the rainfall abnormality, and the insulation measures include measures for installing humidity regulating equipment or measures for using moisture-proof materials; if the wind speed data is greater than the preset wind speed data, it is confirmed that the first fault state is a mechanical state, and the mechanical measures are adopted for the target device according to the mechanical state, and the mechanical measures include measures for strengthening mechanical structure and emergency power outage measures; the first fault state is integrated with the first processing measure, output as the first warning information, and the first warning information is displayed to the user device.

8. An electronic device, characterized in that: The electronic device (300) comprises a processor (301), a memory (305), a user interface (303) and a network interface (304), wherein the memory (305) is used to store instructions, the user interface (303) and the network interface (304) are used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (305) so that the electronic device (300) executes the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 6 is performed.

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