A method and system for automatic inspection of energy storage power station

Abstract

An automatic inspection method and system for energy storage power stations, relating to the field of power operation and maintenance technology. In this method, target information corresponding to the energy storage power station is obtained; inspection instructions are determined according to the target information; the equipment to be inspected is determined based on the inspection instructions, and a target inspection route is generated according to a first position; the target inspection route is sent to an intelligent robot so that the intelligent robot performs mobile detection according to the target inspection route; target detection data sent by the intelligent robot is received; it is determined whether the target detection data is less than or equal to the preset detection data; when the target detection data is greater than the preset detection data, it is confirmed that the detection device is in an abnormal state, and the abnormal state is sent to the target user. By implementing the technical solution provided by the present application, abnormal conditions of the equipment can be discovered in a timely manner through real-time analysis of the data, thereby improving the real-time and accuracy of the inspection.

Description

Technical Field

[0001] The present application relates to the field of electric power operation and maintenance technology, and specifically to an automatic inspection method and system for energy storage power stations. Background Art

[0002] With the continuous progress and expansion of the power system, electricity has become an indispensable basic element in modern life. During the operation of the power grid, especially during peak hours of electricity consumption, it may face the challenge of power supply capacity being unable to meet demand; to solve this contradiction between supply and demand, energy storage power stations came into being. As an advanced power infrastructure, the core function of energy storage power stations is to use specific energy storage media to achieve cyclic storage, conversion and on-demand release of electric energy. Specifically, it can store electric energy during off-peak hours when electricity demand is low, and feed the stored electric energy back to the power grid during peak hours when electricity demand surges, thereby effectively achieving peak shaving and valley filling of electricity and balancing the time difference between electricity supply and demand.

[0003] At present, as an indispensable part of the power system, the operational safety of energy storage power stations is directly related to the stability and reliability of the entire power grid. In order to ensure the safe and stable operation of energy storage power stations, regular inspections have become a vital task. Through inspections, potential safety hazards can be discovered and dealt with in a timely manner, including but not limited to equipment overheating, battery performance degradation, poor wiring connections, etc. However, the current inspection of energy storage power stations mainly relies on manual inspections. Manual inspections refer to inspectors conducting detailed inspections of energy storage power stations by means of naked eye observation and the use of professional testing instruments. Although manual inspections can discover and deal with problems to a certain extent, they are often difficult to detect equipment failures in a timely manner due to time constraints, resulting in poor real-time response capabilities of inspections.

[0004] Therefore, there is an urgent need for an automatic inspection method and system for energy storage power stations that can solve the above technical problems. Summary of the invention

[0005] The present application provides an automatic inspection method and system for an energy storage power station. The method obtains target information corresponding to the energy storage power station, analyzes the target information to determine inspection instructions, generates a target inspection route according to the inspection instructions, and sends the target inspection route to an intelligent robot so that the intelligent robot can inspect according to the target inspection route. By performing real-time analysis of data, abnormal conditions of equipment can be discovered in a timely manner, thereby improving the real-time and accuracy of inspections.

[0006] In a first aspect, the present application provides an automatic inspection method for an energy storage power station, which is applied to an inspection platform, and the method includes: obtaining target information corresponding to the energy storage power station, the target information including equipment information, weather information and time information; determining an inspection instruction according to the target information, the inspection instruction being an instruction for performing a safety inspection on the energy storage power station; determining a device to be inspected based on the inspection instruction, and generating a target inspection route according to a first position, the first position being a position corresponding to the device to be inspected; sending the target inspection route to an intelligent robot so that the intelligent robot performs mobile detection according to the target inspection route; receiving target detection data sent by the intelligent robot, the target detection data including equipment operation data, environmental data and cable connection data, the target detection data being data corresponding to the detection device in the energy storage power station; determining whether the target detection data is less than or equal to preset detection data; when the target detection data is greater than the preset detection data, confirming that the detection device is in an abnormal state, and sending the abnormal state to the target user.

[0007] By adopting the above technical solution, the target information corresponding to the energy storage power station is obtained, the target information is analyzed to determine the inspection instructions, the target inspection route is generated according to the inspection instructions, and the target inspection route is sent to the intelligent robot so that the intelligent robot can perform inspection work. The inspection work is not restricted by the time schedule. According to the inspection instructions and the target inspection route, the intelligent robot moves autonomously to perform equipment inspection, reducing human intervention. During the inspection process, the intelligent robot can collect a variety of target detection data such as equipment operation data, environmental data, and cable connection data. These data can fully reflect the operating status of the energy storage power station. The target detection data is then compared with the preset detection data. When the target detection data is greater than the preset detection data, it is confirmed that the detection equipment is in an abnormal state, and the abnormal state is notified to the target user. The timely early warning mechanism can ensure that equipment failures are discovered and handled in a timely manner, thereby improving the real-time and accuracy of inspections.

[0008] Optionally, the inspection instruction is determined according to the target information, specifically including: obtaining the current corresponding first time point; judging whether the first time point exists in the preset schedule, the preset schedule is the time for normal inspection of the corresponding equipment of the energy storage power station; when the first time point exists in the preset schedule, confirming that the first inspection instruction is determined according to the first time point, and indicating the first inspection instruction as the inspection instruction, the first inspection instruction is used to inspect the first equipment of the energy storage power station.

[0009] By adopting the above technical solution, the current corresponding first time point is obtained, and it is determined whether the first time point is in the preset schedule, so as to ensure that the inspection work is carried out according to the predetermined time plan. When the first time point exists in the preset schedule, the first inspection instruction is directly determined according to the first time point, and it is executed as the inspection instruction. By automatically determining the inspection instruction in the preset schedule, the manual judgment link is reduced, thereby reducing the errors caused by human factors and improving the accuracy of the inspection work.

[0010] Optionally, the inspection instruction is determined based on the target information, specifically including: obtaining a second time point from the equipment information, the equipment information including maintenance record information and equipment update information; judging whether the second time point is earlier than the first time point; if the second time point is earlier than the first time point, confirming that a second inspection instruction is generated based on the second time point, and outputting the second inspection instruction as an inspection instruction, the second inspection instruction is used to inspect a second device of the energy storage power station, the second device being the device corresponding to the second time point.

[0011] By adopting the above technical solution, a second time point is obtained from the equipment information, and it is determined whether the second time point is earlier than the first time point. This allows for a more accurate determination of which equipment requires inspection, and a second inspection instruction is generated based on the second time point. The equipment that has been recently repaired or updated is inspected in a timely manner, which allows for the timely discovery and handling of potential risks, and helps to improve the reliability and safety of the equipment.

[0012] Optionally, the inspection instruction is determined based on the target information, specifically including: obtaining weather information corresponding to the target area, the target area is the area corresponding to the energy storage power station, the weather information includes temperature information, wind information and precipitation information; judging whether the weather information is consistent with the preset weather information, the preset weather information is severe weather information; when the weather information is consistent with the preset weather information, confirming that a third inspection instruction is generated based on the weather information, and outputting the third inspection instruction as the inspection instruction, the third inspection instruction is used to inspect the third equipment of the energy storage power station.

[0013] By adopting the above technical solution, weather information of the target area can be obtained, and local weather conditions can be understood in real time. When the weather information is consistent with the preset weather information, a third inspection instruction is immediately generated, which helps the energy storage power station to take timely response measures and reduce damage to equipment caused by severe weather. The third inspection instruction is aimed at equipment in the energy storage power station that may be easily damaged or malfunction in severe weather. This targeted inspection can ensure that these key equipment are inspected in a timely manner under severe weather conditions.

[0014] Optionally, the device to be inspected is determined based on the inspection instruction, and a target inspection route is generated according to the first position, specifically including: when the device to be inspected is the first device, obtaining the first position corresponding to the first device; obtaining the second position corresponding to the intelligent robot; inputting the first position and the second position into a preset route database for processing to obtain a first inspection route, and outputting the first inspection route as a target inspection route so that the intelligent robot can perform mobile detection on the first device according to the first inspection route.

[0015] By adopting the above technical solution, the first position corresponding to the first device to be inspected and the second position where the intelligent robot is currently located are obtained, and efficient processing is performed in the preset route database based on the two position information to quickly generate the first inspection route, thereby avoiding blind movement and invalid search of the intelligent robot during the inspection process, and significantly improving the inspection efficiency.

[0016] Optionally, before receiving the target detection data sent by the intelligent robot, the method also includes: obtaining a patrol instruction set, the patrol instruction set being a set of patrol instructions currently generated; determining whether the number of targets in the patrol instruction set is greater than a preset number; when the number of targets is greater than the preset number, integrating the patrol instructions in the patrol instruction set to obtain a comprehensive patrol instruction; generating a second patrol route according to the comprehensive patrol instructions, and sending the second patrol route to the intelligent robot so that the intelligent robot performs mobile detection according to the second patrol route.

[0017] By adopting the above technical solution, when the number of targets in the inspection instruction set exceeds the preset number, a comprehensive inspection instruction can be generated by integrating the inspection instructions, so that the intelligent robot can complete multiple inspection tasks at one time. The generation of comprehensive inspection instructions means that a second inspection route can be generated in the preset route database based on the location information of all equipment to be inspected. Based on the comprehensive inspection instructions, the intelligent robot can avoid repeated movement or unnecessary inspections between different inspection tasks, reduce redundant work in the inspection process, and improve the accuracy and efficiency of the inspection.

[0018] Optionally, when the target detection data is greater than the preset detection data, it is confirmed that the detection device is in an abnormal state, and the method also includes: if the target detection data is equipment operation data, it is confirmed that the detection device is in a fault abnormal state, and a first processing measure is generated according to the fault abnormal state, and the first processing measure includes battery optimization measures, heat dissipation measures, and energy storage capacity increase measures; if the target detection data is environmental data, it is confirmed that the detection device is in a damaged abnormal state, and a second processing measure is generated according to the damaged abnormal state, and the second processing measure includes maintenance measures and replacement measures; if the target detection data is cable connection data, it is confirmed that the detection device is in a connection abnormal state, and a third processing measure is generated according to the connection abnormal state, and the third processing measure includes plug replacement measures and grounding replacement measures.

[0019] By adopting the above technical solution, the classification and analysis of target detection data can accurately identify different abnormal states of the detection equipment, and provide targeted processing measures for different types of abnormal states. Accurate identification and targeted processing of equipment status can help prevent safety risks and failures.

[0020] In a second aspect of the present application, an automatic inspection system for an energy storage power station is provided, the system is an inspection platform, and the inspection platform includes an acquisition unit, a processing unit and a confirmation unit; the acquisition unit acquires target information corresponding to the energy storage power station, the target information includes equipment information, weather information and time information; receives target detection data sent by an intelligent robot, the target detection data includes equipment operation data, environmental data and cable connection data, and the target detection data is data corresponding to the detection equipment in the energy storage power station; the processing unit determines an inspection instruction according to the target information, and the inspection instruction is used as an instruction for performing a safety inspection on the energy storage power station; determines the equipment to be inspected based on the inspection instruction, and generates a target inspection route according to a first position, the first position is the position corresponding to the equipment to be inspected; sends the target inspection route to the intelligent robot so that the intelligent robot performs mobile detection according to the target inspection route; determines whether the target detection data is less than or equal to the preset detection data; the confirmation unit confirms that the detection equipment is in an abnormal state when the target detection data is greater than the preset detection data, and sends the abnormal state to the target user.

[0021] Optionally, the acquisition unit is used to obtain the current corresponding first time point; the processing unit is used to determine whether the first time point exists in the preset schedule, and the preset schedule is the time for normal inspection of the corresponding equipment of the energy storage power station; the confirmation unit is used to confirm that when the first time point exists in the preset schedule, the first inspection instruction is determined according to the first time point, and the first inspection instruction is pointed out as the inspection instruction, and the first inspection instruction is used to inspect the first equipment of the energy storage power station.

[0022] Optionally, the acquisition unit is used to obtain a second time point from the equipment information, the equipment information including maintenance record information and equipment update information; the processing unit is used to determine whether the second time point is earlier than the first time point; the confirmation unit is used to confirm that a second inspection instruction is generated according to the second time point if the second time point is earlier than the first time point, and output the second inspection instruction as an inspection instruction, the second inspection instruction is used to inspect a second device of the energy storage power station, and the second device is the device corresponding to the second time point.

[0023] Optionally, the acquisition unit is used to acquire weather information corresponding to the target area, the target area is the area corresponding to the energy storage power station, and the weather information includes temperature information, wind information and precipitation information; the processing unit is used to determine whether the weather information is consistent with the preset weather information, and the preset weather information is severe weather information; the confirmation unit is used to confirm that a third inspection instruction is generated according to the weather information when the weather information is consistent with the preset weather information, and output the third inspection instruction as the inspection instruction, and the third inspection instruction is used to inspect the third equipment of the energy storage power station.

[0024] Optionally, the acquisition unit is used to acquire a first position corresponding to the first device when the device to be inspected is the first device; and to acquire a second position corresponding to the intelligent robot; the processing unit is used to input the first position and the second position into a preset route database for processing to obtain a first inspection route, and output the first inspection route as a target inspection route so that the intelligent robot can perform mobile detection on the first device according to the first inspection route.

[0025] Optionally, the acquisition unit is used to acquire a patrol instruction set, which is a set of patrol instructions currently generated; the processing unit is used to determine whether the number of targets in the patrol instruction set is greater than a preset number; when the number of targets is greater than the preset number, the patrol instructions in the patrol instruction set are integrated to obtain a comprehensive patrol instruction; a second patrol route is generated according to the comprehensive patrol instructions, and the second patrol route is sent to the intelligent robot so that the intelligent robot performs mobile detection according to the second patrol route.

[0026] Optionally, the confirmation unit is used to confirm that the detection device is in a fault abnormal state if the target detection data is equipment operation data, and generate a first processing measure based on the fault abnormal state, the first processing measure including battery optimization measures, heat dissipation enhancement measures, and energy storage capacity increase measures; if the target detection data is environmental data, then confirm that the detection device is in a damaged abnormal state, and generate a second processing measure based on the damaged abnormal state, the second processing measure including maintenance measures and replacement measures; if the target detection data is cable connection data, then confirm that the detection device is in a connection abnormal state, and generate a third processing measure based on the connection abnormal state, the third processing measure including plug replacement measures and grounding replacement measures.

[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. Obtain the target information corresponding to the energy storage power station, analyze the target information to determine the inspection instructions, generate the target inspection route according to the inspection instructions, and send the target inspection route to the intelligent robot so that the intelligent robot can perform inspection work. The inspection work is not restricted by the time schedule. According to the inspection instructions and the target inspection route, the intelligent robot moves autonomously to perform equipment inspection to reduce manual intervention. During the inspection process, the intelligent robot can collect a variety of target detection data such as equipment operation data, environmental data, and cable connection data. These data can fully reflect the operating status of the energy storage power station, and then compare the target detection data with the preset detection data. When the target detection data is greater than the preset detection data, it is confirmed that the detection equipment is in an abnormal state, and the abnormal state is notified to the target user. The timely warning mechanism can ensure that equipment failures are discovered and handled in a timely manner, improving the real-time and accuracy of inspections.

[0030] 2. Obtain the current corresponding first time point and determine whether the first time point is in the preset schedule, which can ensure that the inspection work is carried out according to the scheduled time plan. When the first time point exists in the preset schedule, the first inspection instruction is directly determined according to the first time point, and it is executed as the inspection instruction. By automatically determining the inspection instruction in the preset schedule, the manual judgment link is reduced, thereby reducing the errors caused by human factors and improving the accuracy of the inspection work. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of an automatic inspection method for an energy storage power station provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of an automatic inspection system for an energy storage power station 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.

[0032] Explanation of the reference numerals: 201, acquisition unit; 202, processing unit; 203, confirmation unit; 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0033] 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.

[0034] 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.

[0035] 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.

[0036] With the continuous progress and expansion of the power system, electricity has become an indispensable basic element in modern life. During the operation of the power grid, especially during peak hours of electricity consumption, it may face the challenge of power supply capacity being unable to meet demand; to solve this contradiction between supply and demand, energy storage power stations came into being. As an advanced power infrastructure, the core function of energy storage power stations is to use specific energy storage media to achieve cyclic storage, conversion and on-demand release of electric energy. Specifically, it can store electric energy during off-peak hours when electricity demand is low, and feed the stored electric energy back to the power grid during peak hours when electricity demand surges, thereby effectively achieving peak shaving and valley filling of electricity and balancing the time difference between electricity supply and demand.

[0037] At present, as an indispensable part of the power system, the operational safety of energy storage power stations is directly related to the stability and reliability of the entire power grid. In order to ensure the safe and stable operation of energy storage power stations, regular inspections have become a vital task. Through inspections, potential safety hazards can be discovered and dealt with in a timely manner, including but not limited to equipment overheating, battery performance degradation, poor wiring connections, etc. However, the current inspection of energy storage power stations mainly relies on manual inspections. Manual inspections refer to inspectors conducting detailed inspections of energy storage power stations by means of naked eye observation and the use of professional testing instruments. Although manual inspections can discover and deal with problems to a certain extent, they are often difficult to detect equipment failures in a timely manner due to time constraints, resulting in poor real-time response capabilities of inspections.

[0038] Therefore, how to solve the problems caused by the current reliance on manual inspection methods in the inspection of energy storage power stations. The embodiment of the present application provides an automatic inspection method for energy storage power stations, which is applied to the inspection platform. The inspection platform of the present application can be a platform that provides inspection services for energy storage power stations. Figure 1 This is a flow chart of an automatic inspection method for an energy storage power station provided in an embodiment of the present application, with reference to Figure 1 The method includes the following steps S101-S107.

[0039] S101: Acquire target information corresponding to the energy storage power station, where the target information includes equipment information, weather information, and time information.

[0040] In the above S101, the target location corresponding to the energy storage power station, that is, the address information corresponding to the energy storage power station, is first obtained. In order to ensure the normal operation of the energy storage power station corresponding to the target location, the energy storage power station needs to be inspected. Based on the inspection, the current operation status of each device in the energy storage power station can be ensured. The inspection platform can obtain detailed information on all equipment in the energy storage power station through the management system or database of the energy storage power station, including but not limited to equipment type, model, and equipment maintenance records. Then, through meteorological services or local meteorological station data, the weather conditions of the target location in the current and future period of time, such as temperature, humidity, wind speed, rainfall probability, etc., are obtained. This information has an important impact on the equipment operation status and inspection plan. The current time can also be obtained, and the operation plan of the energy storage power station (such as peak hours, maintenance windows, etc.) can be considered to determine the best inspection time.

[0041] S102: Determine an inspection instruction according to the target information, where the inspection instruction is used to perform a safety inspection on the energy storage power station.

[0042] In the above S102, after obtaining the target information corresponding to the energy storage power station, the target information is analyzed to generate inspection instructions. The analysis results are converted into specific inspection tasks, including which equipment needs to be inspected, what the inspection focus is, whether special tools or personnel are required, etc. Since the target information includes three types of information, the three types of target information are analyzed in turn to obtain different inspection instructions.

[0043] First, when the target information is time information, the inspection instruction is determined according to the target information, specifically including: obtaining the first time point corresponding to the current time; judging whether the first time point exists in the preset schedule, the preset schedule is the time for normal inspection of the corresponding equipment of the energy storage power station; when the first time point exists in the preset schedule, it is confirmed that the first inspection instruction is determined according to the first time point, and the first inspection instruction is pointed out as the inspection instruction, and the first inspection instruction is used to inspect the first equipment of the energy storage power station. Specifically, the current accurate time can be obtained from the built-in clock or the network time protocol (NTP) server. This is usually achieved by calling a specific time function or API, which returns the current date and time, usually including information such as year, month, day, hour, minute, second, etc. The obtained time may need to be formatted into a specific formula to facilitate matching with the preset schedule. Then the first time point is matched with the preset schedule, which is a database or data structure containing normal inspection time. These times are usually set in advance based on factors such as equipment type, maintenance cycle, and operation requirements. The schedule may exist in various forms, such as CSV files, database tables, dictionaries, or lists. By traversing the preset schedule, check whether there is a time entry that matches the current time point (i.e., the first time point). The match may involve precise time point matching or broader time period matching (such as a certain hour of each day or a certain day of each week). If a matching time point is found, it indicates that the current time is the scheduled time for inspection; if no matching time point is found, it may be necessary to decide whether to perform the inspection based on other logic (such as manual triggering, emergency conditions, etc.). Once it is confirmed that the current time point matches the preset schedule, the inspection platform needs to generate an inspection instruction. This instruction usually contains information about the equipment to be inspected, the type of inspection (such as comprehensive inspection, preventive maintenance, etc.), the priority of the inspection, the expected completion time, etc. In this specific scenario, since it is an inspection instruction generated based on the first time point, it is called the "first inspection instruction". Based on time triggering inspection instructions, the energy storage power station allows the energy storage power station to automatically generate inspection instructions according to the preset schedule, thereby ensuring regular maintenance and inspection of the equipment. After the first inspection instruction is generated, the first inspection instruction is output as an inspection instruction. At this time, the first inspection instruction is to inspect the first device, and the first device is all the equipment in the energy storage power station. For example, get the current time, the first time point is April 12, 202x, enter the first time point into the preset schedule for matching, if the first time point exists in the preset schedule, then confirm that the current time is the time to perform the scheduled inspection work, and generate the first inspection instruction based on the first time point. At this time, the first inspection instruction can be understood as a scheduled daily inspection instruction.

[0044] Secondly, when the target information is equipment information, the inspection instruction is determined according to the target information, specifically including: obtaining a second time point from the equipment information, the equipment information includes maintenance record information and equipment update information; judging whether the second time point is earlier than the first time point; if the second time point is earlier than the first time point, then confirming that a second inspection instruction is generated according to the second time point, and outputting the second inspection instruction as an inspection instruction, the second inspection instruction is used to inspect the second equipment of the energy storage power station, and the second equipment is the equipment corresponding to the second time point. Specifically, a database of equipment information can be accessed, and this database contains relevant data of various equipment, such as maintenance records, update records, equipment type, location, etc. In the equipment information, special attention should be paid to information related to maintenance records and equipment updates. These records usually contain a timestamp, that is, the time point when the maintenance or update operation occurs. This time point is what we call the "second time point". If there are multiple operation information in the information recording the maintenance or update operation, the time corresponding to the most recent operation information in the record information can be obtained at this time, and this time point can be defined as the second time point, and the second time point can also be understood as the operation time point of the most recent record of maintenance or update equipment. Extract all relevant time points from the device information, and perform necessary cleaning and formatting to ensure that they can be used for subsequent comparison and judgment. Since the current corresponding first time point has been obtained, the first time point is the current actual time. Then compare the second time point with the first time point, and this comparison is based on the order of timestamps. If the second time point is earlier than the first time point, it means that the device has been repaired or updated before the preset inspection time, and additional inspections may be required to confirm its status. According to the comparison results, the inspection platform will make a logical judgment. If the second time point is earlier than the first time point, the next step is to generate the second inspection instruction; otherwise, it may continue to execute according to the original plan or make a decision based on other conditions. According to the second time point and the corresponding device information, the inspection platform needs to fill in the relevant fields in the inspection instruction template. In particular, it is necessary to point out the equipment that needs to be inspected (i.e., the second equipment) and the specific requirements of the inspection. After filling in all the necessary information, a complete inspection instruction, i.e., the "second inspection instruction", is generated. The second equipment refers to the maintenance equipment or update equipment corresponding to the second time point. In addition to the time-based inspection instructions mentioned above, inspection instructions can also be generated based on maintenance and update records, so as to more accurately focus on which equipment may need additional attention.

[0045] In the above example, if the first time point is April 12, 202x, if the first time point is not within the preset schedule, obtain the record manual of equipment update or equipment maintenance in the energy storage power station, and obtain the latest operation information in the record manual. If the latest operation information is the replacement of XX equipment on April 10, 202x, that is, the second time point is April 10, 202x, compare the first time point with the second time point, the second time point is earlier than the first time point, and the second inspection instruction needs to be generated according to the second time point. At this time, the second time point is the time point corresponding to the replacement of XX equipment, that is, the second inspection instruction is to inspect the replacement of XX equipment, and the second equipment replaces XX equipment. In order to ensure the accuracy of the inspection, the surrounding area where the XX equipment is replaced can also be inspected to further determine whether the operation of the energy storage power station is in a normal state.

[0046] Finally, when the target information is weather information, the inspection instruction is determined according to the target information, specifically including: obtaining weather information corresponding to the target area, the target area is the area corresponding to the energy storage power station, and the weather information includes temperature information, wind information and precipitation information; judging whether the weather information is consistent with the preset weather information, and the preset weather information is bad weather information; when the weather information is consistent with the preset weather information, it is confirmed that the third inspection instruction is generated according to the weather information, and the third inspection instruction is output as the inspection instruction, and the third inspection instruction is used to inspect the third device of the energy storage power station. Specifically, it is necessary to clarify the specific area where the energy storage power station is located, which usually includes geographical location (such as longitude and latitude), administrative divisions (such as provinces, cities, counties) and other information. Select a reliable weather data source to obtain weather information for the target area. This data source can be official data released by the national meteorological department or data provided by a professional weather service provider. Obtain the weather information corresponding to the target area at the first time point, and the weather information includes temperature information (such as maximum temperature, minimum temperature, current temperature, etc.), wind information (such as wind speed, wind direction, etc.) and precipitation information (such as precipitation, precipitation probability, precipitation type, etc.). The acquired weather information may need to be cleaned and formatted to ensure its accuracy and consistency. For example, convert the temperature into a uniform unit of measurement (such as degrees Celsius), convert the wind force into an easily understandable level or value, etc. Then determine whether the weather information is consistent with the preset weather information. The preset weather information refers to a set of conditions that are considered to be severe weather. These conditions can be defined according to the actual situation and operational needs of the energy storage power station, such as high temperature (exceeding a certain value), strong wind (wind speed exceeding a certain value), heavy rain (precipitation exceeding a certain value), etc. Compare the acquired weather information with the preset weather information one by one. This comparison process may involve simultaneous judgment of multiple conditions, such as "temperature is higher than X degrees Celsius and wind force is greater than Y level". Based on the comparison results, the inspection platform needs to make a logical judgment. If the weather information meets any one or more conditions in the preset weather information, it is considered that the weather information is consistent with the preset weather information, that is, the current weather is severe weather. Generate a complete inspection instruction based on the weather information, namely the "third inspection instruction". The third inspection instruction is used to inspect the third device, which refers to the device that is susceptible to severe weather and can also be understood as outdoor equipment. Generate inspection plans based on real-time weather information to more accurately focus on equipment affected by severe weather.

[0047] S103: Determine the device to be inspected based on the inspection instruction, and generate a target inspection route according to the first position, where the first position is a position corresponding to the device to be inspected.

[0048] In the above S103, the equipment to be inspected is determined according to the inspection instruction. Since different target information corresponds to different inspection instructions, when the inspection instruction is the first inspection instruction, the equipment to be inspected is all equipment in the energy storage power station. For example, energy storage batteries, energy storage converters, battery management systems, energy storage monitoring systems, and fire protection systems. When the inspection instruction is the second inspection instruction, the equipment to be inspected is the equipment updated or repaired in the energy storage power station. For example, new equipment is put into operation. When the inspection instruction is the third inspection instruction, the equipment to be inspected is the equipment in the energy storage power station that is easily affected by the weather. For example, battery systems and temperature control devices. After the inspection instruction, the equipment that currently needs to be inspected is screened out.

[0049] In addition, the device to be inspected is determined based on the inspection instruction, and a target inspection route is generated according to the first position, specifically including: when the device to be inspected is the first device, the first position corresponding to the first device is obtained; the second position corresponding to the intelligent robot is obtained; the first position and the second position are input into the preset route database for processing to obtain the first inspection route, and the first inspection route is output as the target inspection route, so that the intelligent robot performs mobile detection on the first device according to the first inspection route. Specifically, if the device to be inspected is the first device, the first device refers to all devices in the energy storage power station. A database storing device information can be accessed, which contains detailed information of all devices to be inspected, including device name, type, location (usually expressed in coordinate form, such as longitude and latitude or relative position relative to a certain point), and other data related to device inspection. In the database, according to the needs of the current inspection task, the relevant information of the first device to be inspected is filtered out. This usually involves searching according to the device name, type or identifier. From the filtered device information, the location information of the first device is extracted. This location information will be used for subsequent comparison with the location of the intelligent robot and route planning. The current state of the intelligent robot, including its location information, is obtained in real time or periodically. This is usually achieved through sensors on the robot (such as GPS, inertial navigation system, lidar, etc.) or through a base station or server that communicates with the robot. The acquired robot position data may need to be processed to convert it into a format compatible with the device location information. For example, if the device location is expressed in latitude and longitude, the robot position also needs to be converted to the same format. Since the robot's position changes over time, the system needs to be able to update the robot's position information in real time or periodically to ensure the accuracy of subsequent route planning. The first position and the second position are input into a preset route database for processing. The preset route database stores pre-planned routes from various possible locations to the equipment to be inspected. These routes can be map-based, grid-based, or other forms of route representation methods. The location of the first device (first location) and the current location of the intelligent robot (second location) are used as input and matched in the preset route database. This process may involve calculating the shortest path between the two locations, considering obstacles and restrictions (such as prohibited areas, obstacles that need to be bypassed, etc.), and selecting the optimal route. After matching the preliminary route, the route may also need to be optimized. This can include adjusting the shape and length of the route to reduce walking time, avoiding potential dangerous areas or obstacles, and considering the robot's movement capabilities and limitations. After matching, selecting and optimizing, the system generates an optimal inspection route from the current position of the intelligent robot to the position of the first device, namely the "first inspection route". The generated first inspection route needs to be output to the intelligent robot.This can be achieved by sending route information to the robot's control system, displaying the route on the robot's display screen, or through voice commands. The generation method of the target inspection route corresponding to the second inspection instruction and the third inspection instruction can refer to the generation method of the first inspection instruction, except that the equipment to be inspected is different, and the corresponding positions of the equipment to be inspected are different, so different inspection routes can be obtained. When considering the route, it is also necessary to consider the relative position between the equipment, road conditions, safety factors, etc., to optimize the preliminary route and ensure inspection efficiency and safety.

[0050] S104: Send the target inspection route to the intelligent robot so that the intelligent robot can perform mobile inspection according to the target inspection route.

[0051] In the above S104, after the target inspection route is generated according to the first position corresponding to the device to be inspected, the target inspection route is sent to the intelligent robot. After receiving the target inspection route, the intelligent robot analyzes the target inspection route and returns confirmation information to ensure that the intelligent robot has received the inspection work.

[0052] In addition, if multiple inspection instructions are received at the same time, it is necessary to analyze the multiple inspection instructions to generate a comprehensive inspection instruction, optimize the inspection route through the comprehensive inspection instructions, improve the inspection efficiency, and ensure that all inspection tasks can be executed, specifically including: obtaining an inspection instruction set, the inspection instruction set is a set of inspection instructions currently generated; judging whether the number of targets in the inspection instruction set is greater than the preset number; when the number of targets is greater than the preset number, the inspection instructions in the inspection instruction set are integrated to obtain a comprehensive inspection instruction; generating a second inspection route according to the comprehensive inspection instruction, and sending the second inspection route to the intelligent robot so that the intelligent robot can perform mobile detection according to the second inspection route. Specifically, the inspection instruction is generated according to the target information, and the generated inspection instructions are collected within the preset interval time to form a set of inspection instructions. This set contains all the inspection tasks that need to be executed at present. The inspection instruction set needs to be stored in the platform database for subsequent processing and query. At the same time, as new inspection instructions are generated, the set also needs to be continuously updated. Then obtain the target number from the inspection instruction set, that is, the target number can be understood as the number of inspection instructions, and one inspection instruction corresponds to one number. Compare the target number with the preset number, which is a preset inspection instruction number threshold, which is set according to the processing capacity of the intelligent robot. If the target number is greater than the preset number, it means that there are currently more inspection tasks to be performed, and it may be necessary to optimize the inspection route through comprehensive inspection instructions; if the target number is less than or equal to the preset number, the inspection route can be directly generated according to the instructions in the inspection instruction set. Once it is confirmed that the target number is greater than the preset number, confirm that the inspection instructions in the inspection instruction set are integrated to obtain a comprehensive inspection instruction. This can be done through a comprehensive instruction algorithm, which can consider factors such as the spatial relationship, time relationship and priority between multiple inspection instructions, and integrate them into one or more comprehensive inspection instructions. The algorithm will traverse each inspection instruction in the inspection instruction set and integrate them according to preset rules (such as similar instructions can be merged, instructions with high priority are executed first, etc.). The result of the integration may be a comprehensive inspection instruction containing multiple inspection points, or it may be a comprehensive inspection route containing multiple sub-routes. After determining the comprehensive instruction algorithm, the optimal inspection route is generated according to the comprehensive inspection instructions. The inspection route needs to consider many factors, such as the order of inspection points, the length of the path, the location of obstacles, etc. The generated inspection route may need to be optimized to reduce walking time and improve inspection efficiency. The optimization process may involve adjusting the order of inspection points, selecting a shorter path, avoiding obstacles, etc. The optimized inspection route (i.e., the second inspection route) needs to be sent to the intelligent robot. This can be achieved through wireless communication (such as Wi-Fi, Bluetooth, 4G / 5G, etc.) or wired communication (such as Ethernet, serial communication, etc.).The route information sent needs to include the location and sequence of the inspection points and any additional information that may be required (such as equipment status, inspection requirements, etc.). After receiving the second inspection route, the intelligent robot will perform mobile detection based on the route information and execute the inspection task.

[0053] For example, if the inspection instruction set includes the first inspection instruction and the second inspection instruction, the target number in the inspection instruction set is 2, the preset number can be set to 1, and the target number is greater than the preset number. The first inspection instruction and the second inspection instruction can be combined to obtain a new inspection instruction, and a inspection route is generated according to the new inspection instruction, and then the inspection route is sent to the intelligent robot.

[0054] S105: Receive target detection data sent by the intelligent robot, where the target detection data includes equipment operation data, environmental data, and cable connection data.

[0055] In the above S105, during the inspection process, the intelligent robot can obtain the current position of the intelligent robot in real time, and compare the moved position with the position in the target inspection route. If there is a large deviation between the two positions, the moving direction of the intelligent robot can be adjusted with the help of AI to make the moving direction of the intelligent robot consistent with the target inspection route. Through the sensors and detection equipment carried by the intelligent robot, data such as equipment operation data, environmental data (such as temperature, humidity) and cable connection status are collected. Equipment operation data refers to sound data, vibration data, voltage data and current data of key equipment such as energy storage batteries and inverters. Environmental data refers to temperature data, humidity data and dust data around the power station. Cable connection data refers to data on the cable connection status. The collected data is sent back to the inspection platform in real time or regularly. When receiving data, an integrity check is performed to ensure that the data is not lost or damaged.

[0056] S106: Determine whether the target detection data is less than or equal to the preset detection data.

[0057] In the above S106, after obtaining the target detection data, the target detection data is compared with the preset detection data, which is a normal range or threshold value of each detection data set according to equipment specifications, industry standards or historical experience. The actual detection data is compared with the preset standard to determine whether there is an abnormality.

[0058] S107: When the target detection data is greater than the preset detection data, it is confirmed that the detection device is in an abnormal state, and the abnormal state is sent to the target user.

[0059] In the above S107, when the target detection data is greater than the preset detection data, once the data abnormality is detected, the device is immediately marked as abnormal. Since there are three situations of target detection data, different processing measures need to be generated according to different abnormal states, and the processing measures are sent to the target user, who can be understood as the responsible device management personnel.

[0060] In addition, if the target detection data is equipment operation data, it is confirmed that the detection device is in a fault abnormal state, and a first processing measure is generated according to the fault abnormal state, and the first processing measure includes battery optimization measures, heat dissipation measures, and energy storage capacity increase measures; if the target detection data is environmental data, it is confirmed that the detection device is in a damaged abnormal state, and a second processing measure is generated according to the damaged abnormal state, and the second processing measure includes maintenance measures and replacement measures; if the target detection data is cable connection data, it is confirmed that the detection device is in an abnormal connection state, and a third processing measure is generated according to the abnormal connection state, and the third processing measure includes plug replacement measures and ground replacement measures. Specifically, the operation data of the detection device is obtained in real time through sensors, monitoring instruments and other equipment on the intelligent robot. These data include key parameters such as current, voltage, temperature, humidity, and power. The acquired operation data is compared with the preset normal range. If the data exceeds the normal range, or there are obvious fluctuations, abnormal peaks, etc., it is judged that the equipment operation data is abnormal. According to the data abnormality judgment result, it is confirmed that the detection device is in a fault abnormal state. Further analyze the causes of the data abnormality, such as battery aging, poor heat dissipation, insufficient energy storage capacity, etc. For the fault abnormal state, the corresponding first processing measure is generated. The first treatment measures include optimizing batteries (such as replacing new batteries, adjusting battery charging strategies, etc.), strengthening heat dissipation (such as adding cooling fans, optimizing heat dissipation channels, etc.), and increasing energy storage capacity (such as expanding energy storage equipment, optimizing energy storage strategies, etc.). Through monitoring equipment, real-time data of the environment where the detection equipment is located is obtained. These data may include temperature, humidity, air quality, light intensity, etc. The obtained environmental data is compared with the preset normal range. If the data exceeds the normal range or there is a clear deterioration trend, it is judged that the environmental data is abnormal. According to the abnormal judgment results of the environmental data, combined with the equipment operation status and historical records, it is confirmed that the detection equipment may be in an abnormal state of damage. It is necessary to further analyze the impact of abnormal environmental data on the equipment, such as corrosion, aging, short circuit, etc. For the abnormal state of damage, the corresponding second treatment measures are generated. The second treatment measures include maintenance (such as repairing damaged parts, replacing aging components, etc.) and replacement (such as replacing the entire equipment or key components). The data of the cable connection status can be obtained in real time by connecting the cable monitoring equipment. These data may include voltage, current, resistance, connection status, etc. The obtained cable connection data is compared with the preset normal range. If the data exceeds the normal range, or there is an obvious connection problem (such as open circuit, short circuit, poor contact, etc.), it is judged that the cable connection data is abnormal. According to the abnormal judgment result of the cable connection data, it is confirmed that the detection equipment is in an abnormal connection state. Further analyze the cause of the abnormal connection, such as plug damage, poor grounding, cable aging, etc. Generate the corresponding third processing measures for the abnormal connection state. The third processing measures include replacing the plug (such as replacing a damaged plug, adjusting the plug connection method, etc.) and replacing the grounding (such as improving the grounding conditions, replacing the grounding wire, etc.).Based on the generated treatment measures, it is possible to evaluate whether the intelligent robot can handle the detection equipment. If the intelligent robot can handle it, it can handle the detection equipment according to the treatment measures. If the intelligent robot cannot handle it, the treatment measures can be sent to professionals so that professionals can repair, replace and optimize the equipment. Abnormal information is promptly notified to the responsible equipment manager or maintenance team through SMS, email, APP push, etc. The specific location of the abnormal equipment, the type of abnormality, possible causes and recommended countermeasures are provided in the notification for quick response.

[0061] Through the above method, the time, equipment and weather information corresponding to the energy storage power station are obtained, and the time, equipment and weather information are analyzed. The inspection instruction is triggered according to the analysis results to avoid the influence of time during manual inspection. The energy storage power station is monitored in real time, and the inspection instruction is triggered according to the monitoring data. The equipment to be inspected is determined according to the inspection instruction, and the inspection route is generated based on the location of the equipment to be inspected. The inspection route is sent to the intelligent robot so that the intelligent robot can inspect the energy storage power station, effectively prevent equipment failure, reduce downtime, and ensure the stable operation of the power station.

[0062] The present application also provides an automatic inspection system for an energy storage power station. Figure 2 This is a schematic diagram of the structure of an automatic inspection system for an energy storage power station provided in an embodiment of the present application, with reference to Figure 2 The system is an inspection platform, which includes an acquisition unit 201, a processing unit 202 and a confirmation unit 203.

[0063] The acquisition unit 201 acquires target information corresponding to the energy storage power station, the target information includes equipment information, weather information and time information; receives target detection data sent by the intelligent robot, the target detection data includes equipment operation data, environmental data and cable connection data, and the target detection data is the data corresponding to the detection equipment in the energy storage power station.

[0064] Processing unit 202 determines an inspection instruction based on the target information, where the inspection instruction is used to instruct a safety inspection on the energy storage power station; determines the equipment to be inspected based on the inspection instruction, and generates a target inspection route based on a first position, where the first position is the position corresponding to the equipment to be inspected; sends the target inspection route to the intelligent robot so that the intelligent robot performs mobile detection according to the target inspection route; and determines whether the target detection data is less than or equal to the preset detection data.

[0065] The confirmation unit 203 confirms that the detection device is in an abnormal state when the target detection data is greater than the preset detection data, and sends the abnormal state to the target user.

[0066] In a possible implementation, the acquisition unit 201 is used to acquire the current corresponding first time point; the processing unit 202 is used to determine whether the first time point exists in the preset schedule, and the preset schedule is the time for normal inspection of the corresponding equipment of the energy storage power station; the confirmation unit 203 is used to confirm that when the first time point exists in the preset schedule, the first inspection instruction is determined according to the first time point, and the first inspection instruction is pointed out as the inspection instruction, and the first inspection instruction is used to inspect the first equipment of the energy storage power station.

[0067] In a possible implementation, the acquisition unit 201 is used to acquire a second time point from the equipment information, where the equipment information includes maintenance record information and equipment update information; the processing unit 202 is used to determine whether the second time point is earlier than the first time point; the confirmation unit 203 is used to confirm that a second inspection instruction is generated according to the second time point if the second time point is earlier than the first time point, and output the second inspection instruction as an inspection instruction, where the second inspection instruction is used to inspect a second device of the energy storage power station, where the second device is the device corresponding to the second time point.

[0068] In a possible implementation, the acquisition unit 201 is used to acquire weather information corresponding to a target area, where the target area is an area corresponding to an energy storage power station, and the weather information includes temperature information, wind information, and precipitation information; the processing unit 202 is used to determine whether the weather information is consistent with preset weather information, where the preset weather information is severe weather information; the confirmation unit 203 is used to confirm that a third inspection instruction is generated according to the weather information when the weather information is consistent with the preset weather information, and output the third inspection instruction as an inspection instruction, where the third inspection instruction is used to inspect a third device of the energy storage power station.

[0069] In a possible implementation, the acquisition unit 201 is used to acquire a first position corresponding to the first device when the device to be inspected is the first device; and to acquire a second position corresponding to the intelligent robot; the processing unit 202 is used to input the first position and the second position into a preset route database for processing to obtain a first inspection route, and output the first inspection route as a target inspection route so that the intelligent robot can perform mobile detection on the first device according to the first inspection route.

[0070] In a possible implementation, the acquisition unit 201 is used to acquire a patrol instruction set, which is a set of patrol instructions currently generated; the processing unit 202 is used to determine whether the number of targets in the patrol instruction set is greater than a preset number; when the number of targets is greater than the preset number, the patrol instructions in the patrol instruction set are integrated to obtain a comprehensive patrol instruction; a second patrol route is generated according to the comprehensive patrol instructions, and the second patrol route is sent to the intelligent robot so that the intelligent robot performs mobile detection according to the second patrol route.

[0071] In a possible implementation, the confirmation unit 203 is used to confirm that the detection device is in a fault abnormal state if the target detection data is device operation data, and generate a first processing measure based on the fault abnormal state, the first processing measure including battery optimization measures, heat dissipation enhancement measures, and energy storage capacity increase measures; if the target detection data is environmental data, then confirm that the detection device is in a damaged abnormal state, and generate a second processing measure based on the damaged abnormal state, the second processing measure including maintenance measures and replacement measures; if the target detection data is cable connection data, then confirm that the detection device is in a connection abnormal state, and generate a third processing measure based on the connection abnormal state, the third processing measure including plug replacement measures and grounding replacement measures.

[0072] It should be noted that: when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, 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 system 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.

[0073] The present application also discloses an electronic device. Figure 3 , Figure 3 The 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 .

[0074] The communication bus 302 is used to realize the connection and communication between these components.

[0075] 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.

[0076] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0077] 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.

[0078] 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.

[0079] 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 automatic inspection of the energy storage power station.

[0080] exist Figure 3In 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 for automatic inspection of the energy storage power station stored in the memory 305. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.

[0081] 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.

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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.

[0086] 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.

[0087] 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. An automatic inspection method for an energy storage power station, characterized in that: Applied in an inspection platform, the method comprises: Obtaining target information corresponding to the energy storage power station, the target information including equipment information, weather information and time information; Determine an inspection instruction according to the target information, where the inspection instruction is used to perform a safety inspection on the energy storage power station; Determine the device to be inspected based on the inspection instruction, and generate a target inspection route according to the first position, where the first position is the position corresponding to the device to be inspected; Sending the target inspection route to the intelligent robot so that the intelligent robot performs mobile detection according to the target inspection route; Receiving target detection data sent by the intelligent robot, the target detection data including equipment operation data, environmental data and cable connection data, the target detection data being data corresponding to the detection equipment in the energy storage power station; Determining whether the target detection data is less than or equal to the preset detection data; When the target detection data is greater than the preset detection data, it is confirmed that the detection device is in an abnormal state, and the abnormal state is sent to the target user.

2. The method according to claim 1, characterized in that Determining the inspection instruction according to the target information specifically includes: Get the first time point corresponding to the current time; Determine whether the first time point exists in a preset timetable, where the preset timetable is the time for normal inspection of the corresponding equipment of the energy storage power station; When the first time point exists in the preset schedule, it is confirmed that a first inspection instruction is determined according to the first time point, and the first inspection instruction is indicated as the inspection instruction, where the first inspection instruction is used to inspect the first device of the energy storage power station.

3. The method according to claim 2, characterized in that Determining the inspection instruction according to the target information specifically includes: Acquiring a second time point from the device information, wherein the device information includes maintenance record information and device update information; Determining whether the second time point is earlier than the first time point; If the second time point is earlier than the first time point, confirm that a second inspection instruction is generated according to the second time point, and output the second inspection instruction as the inspection instruction, the second inspection instruction is used to inspect the second device of the energy storage power station, and the second device is the device corresponding to the second time point.

4. The method according to claim 2, characterized in that: Determining the inspection instruction according to the target information specifically includes: Acquire the weather information corresponding to the target area, the target area is the area corresponding to the energy storage power station, and the weather information includes temperature information, wind information and precipitation information; Determining whether the weather information is consistent with preset weather information, the preset weather information being severe weather information; When the weather information is consistent with the preset weather information, it is confirmed that a third inspection instruction is generated according to the weather information, and the third inspection instruction is output as the inspection instruction, and the third inspection instruction is used to inspect the third device of the energy storage power station.

5. The method according to claim 2, characterized in that: The determining of the device to be inspected based on the inspection instruction and generating a target inspection route according to the first position specifically includes: When the device to be inspected is the first device, acquiring the first position corresponding to the first device; Obtaining a second position corresponding to the intelligent robot; The first position and the second position are input into a preset route database for processing to obtain a first inspection route, and the first inspection route is output as the target inspection route so that the intelligent robot can perform mobile detection on the first device according to the first inspection route.

6. The method according to claim 5, characterized in that Before receiving the target detection data sent by the intelligent robot, the method further includes: Obtaining a set of inspection instructions, where the set of inspection instructions is a set of inspection instructions currently generated; Determining whether the target quantity in the inspection instruction set is greater than a preset quantity; When the target number is greater than the preset number, the inspection instructions in the inspection instruction set are integrated to obtain a comprehensive inspection instruction; A second inspection route is generated according to the comprehensive inspection instruction, and the second inspection route is sent to the intelligent robot so that the intelligent robot performs mobile inspection according to the second inspection route.

7. The method according to claim 1, characterized in that After confirming that the detection device is in an abnormal state when the target detection data is greater than the preset detection data, the method further includes: If the target detection data is the device operation data, confirming that the detection device is in a fault abnormal state, generating a first processing measure according to the fault abnormal state, the first processing measure including a battery optimization measure, a heat dissipation enhancement measure, and an energy storage capacity increase measure; If the target detection data is the environmental data, confirming that the detection device is in a damaged abnormal state, generating a second processing measure according to the damaged abnormal state, the second processing measure including a maintenance measure and a replacement measure; If the target detection data is the cable connection data, it is confirmed that the detection device is in an abnormal connection state, and a third processing measure is generated according to the abnormal connection state. The third processing measure includes a plug replacement measure and a ground replacement measure.

8. An automatic inspection system for energy storage power stations, characterized in that: The system is an inspection platform, and the inspection platform comprises an acquisition unit (201), a processing unit (202) and a confirmation unit (203); The acquisition unit (201) acquires target information corresponding to the energy storage power station, the target information including equipment information, weather information and time information; receives target detection data sent by the intelligent robot, the target detection data including equipment operation data, environmental data and cable connection data, the target detection data being data corresponding to the detection equipment in the energy storage power station; The processing unit (202) determines an inspection instruction according to the target information, the inspection instruction being an instruction for performing a safety inspection on the energy storage power station; determines a device to be inspected based on the inspection instruction, and generates a target inspection route according to a first position, the first position being a position corresponding to the device to be inspected; Sending the target inspection route to the intelligent robot so that the intelligent robot performs mobile detection according to the target inspection route; determining whether the target detection data is less than or equal to the preset detection data; The confirmation unit (203) confirms that the detection device is in an abnormal state when the target detection data is greater than the preset detection data, and sends the abnormal state to the target user.

9. 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 7.

10. 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 7 is executed.

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