Intelligent inspection method, system and device for energy storage power station

By using intelligent inspection methods and devices, the problem of low efficiency in traditional manual inspections has been solved, realizing intelligent automatic inspection of energy storage power stations, covering inspection blind spots, improving safety and data sharing efficiency, and supporting all-round monitoring without blind spots and real-time anomaly response.

CN121906785APending Publication Date: 2026-04-21ENVISION ENERGY TECH (SHANGHAI) CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ENVISION ENERGY TECH (SHANGHAI) CO LTD
Filing Date
2025-12-08
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Traditional manual inspection methods in energy storage power stations consume a lot of manpower and resources, have low inspection efficiency, make it difficult to achieve all-round real-time monitoring without blind spots, and make it difficult to accurately locate abnormal situations, resulting in blind spots and safety risks.

Method used

It adopts intelligent inspection methods and devices to carry out automatic inspections based on preset routes. When abnormal data is detected in real time, it pauses and performs abnormal response operations. Combined with multi-functional inspection components, it monitors temperature, fire, noise and intrusion, and supports data sharing and maintenance assistance.

Benefits of technology

It enables intelligent automatic inspection of energy storage power stations, timely location of abnormal facilities, improves safety and inspection efficiency, covers blind spots of traditional inspection, and supports all-round monitoring without dead angles and real-time data exchange and sharing.

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Abstract

The invention relates to the technical field of energy storage power station operation and maintenance, and particularly discloses an intelligent inspection method, system and device for an energy storage power station, and the method comprises the steps: carrying out the inspection of the energy storage power station based on a preset inspection route, and obtaining the real-time monitoring data of the energy storage power station; under the condition that the real-time monitoring data is abnormal, determining an abnormal facility corresponding to the abnormal monitoring data; and the inspection operation is paused, and the abnormal response operation is executed on the abnormal facility. Through the technical scheme provided by the invention, intelligent automatic inspection of the energy storage power station can be realized, and through information sharing between the inspection device and the operation monitoring end of the energy storage power station, energy storage power station facilities which may be abnormal can be positioned in time in the inspection process and targeted abnormal response can be made; and full-period recording and backtracking of possible accident processes of energy storage power station facilities are supported, and all-directional effective inspection protection of the energy storage power station is realized.
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Description

Technical Field

[0001] This disclosure relates to the field of energy storage power station operation and maintenance technology, and in particular to an intelligent inspection method, system and device for energy storage power stations. Background Technology

[0002] An energy storage power station is a facility that stores electrical energy through an energy storage system and releases it when needed. It is an important component of modern energy systems, balancing electricity supply and demand, improving grid stability, supporting the integration of renewable energy, and promoting the low-carbon development of the energy system. Energy storage power stations are widely used in scenarios such as peak shaving, valley filling, emergency backup power, frequency regulation, and the consumption of new energy generation.

[0003] With the widespread application of energy storage power stations, technological advancements, cost reductions, and policy support have jointly driven the large-scale development and capacity expansion of these stations. A single energy storage power station can often occupy an area of ​​over 200 acres or even larger. Against this backdrop, relying on traditional manual inspection methods for the safe operation and maintenance of energy storage power stations would be extremely costly in terms of manpower and resources. Furthermore, it suffers from low inspection efficiency, difficulty in achieving comprehensive, real-time monitoring of the power station, and difficulty in accurately locating potentially abnormal battery cells. Summary of the Invention

[0004] The purpose of this disclosure is to provide an intelligent inspection method, system, and device for energy storage power stations, which can realize intelligent automatic inspection of energy storage power stations, and obtain real-time monitoring data from energy storage power stations through sharing, so as to locate energy storage power station facilities that may be abnormal in a timely manner and take targeted abnormal response actions.

[0005] To address the aforementioned technical issues, the first aspect of this disclosure provides an intelligent inspection method for energy storage power stations, which specifically includes performing inspection operations on the energy storage power station based on a preset inspection route, while simultaneously acquiring real-time monitoring data of the energy storage power station; identifying the abnormal facility corresponding to the abnormal monitoring data when an anomaly occurs in the real-time monitoring data; suspending the inspection operation and performing anomaly response operations on the abnormal facility.

[0006] In one possible implementation of the first aspect described above, the process of pausing the inspection operation and performing anomaly response operations on the abnormal facility includes the following steps: recording the paused position of the inspection operation; planning an anomaly response path based on the paused position and the location of the abnormal facility; performing the anomaly response operation based on the anomaly response path; and, if the anomaly response operation is completed, returning to the paused position to resume the inspection operation.

[0007] In one possible implementation of the first aspect above, the process of performing inspection operations on the energy storage power station based on a preset inspection route includes the following steps: storing the inspection records of the inspection operations; generating inspection alarm information when the inspection records are abnormal or inconsistent with real-time monitoring data.

[0008] In one possible implementation of the first aspect above, the intelligent inspection method for energy storage power stations further includes the following steps: continuously acquiring real-time monitoring data during inspection intervals; identifying abnormal facilities when abnormal real-time monitoring data is detected, and performing abnormal response operations on the abnormal facilities.

[0009] In one possible implementation of the first aspect above, the intelligent inspection method for energy storage power stations further includes the following steps: in response to a first control command, performing independent inspection operations on selected facilities of the energy storage power station; and / or in response to a second control command, performing maintenance auxiliary operations, the maintenance auxiliary operations including providing inspection light sources, providing maintenance operation lists, providing inspection operation guidelines, and recording one or more combinations of collaborative inspection operations.

[0010] In one possible implementation of the first aspect above, the anomaly response operation includes acquiring one or more of the following: facility temperature, facility appearance condition, facility fire safety condition, and facility operating noise.

[0011] In one possible implementation of the first aspect above, the inspection operation includes acquiring one or more combinations of the following: facility temperature, facility appearance, facility fire protection status, and facility operating noise of each component facility of the energy storage power station; and / or monitoring whether there is any abnormal intrusion into the energy storage power station.

[0012] The second aspect of this disclosure provides an intelligent inspection system for energy storage power stations. This intelligent inspection system specifically includes: a power station inspection unit, used to perform inspection operations on the energy storage power station based on a preset inspection route, and simultaneously acquire real-time monitoring data of the energy storage power station; an anomaly location unit, used to identify the abnormal facility corresponding to the abnormal monitoring data when an anomaly occurs in the real-time monitoring data; and an anomaly response unit, used to suspend the inspection operation and move to the inspection location of the abnormal facility to perform an anomaly response operation on the abnormal facility.

[0013] The third aspect of this disclosure provides an intelligent inspection device for an energy storage power station. This intelligent inspection device can be applied to the intelligent inspection method for an energy storage power station provided in the first aspect. Specifically, it can include: an inspection operation module for performing inspection operations and / or abnormal response operations; a communication sharing module for realizing communication interaction with the operation monitoring terminal of the energy storage power station to share real-time monitoring data of the energy storage power station and / or inspection records of the inspection operations; and a path planning module for planning an abnormal response path for performing abnormal response operations based on the location of the abnormal facility.

[0014] In one possible implementation of the third aspect above, the intelligent inspection device for energy storage power stations further includes: a maintenance assistance module for performing maintenance assistance operations, which include one or more combinations of providing inspection light sources, providing maintenance operation lists, providing inspection operation guidelines, and recording collaborative inspection operations.

[0015] The technical solution provided in this disclosure enables intelligent and automated inspection of energy storage power stations. By sharing real-time monitoring data with the energy storage power station, it allows for timely identification of potentially abnormal facilities and the implementation of targeted anomaly response measures. Furthermore, the intelligent inspection device for energy storage power stations is equipped with multi-functional inspection components, simultaneously supporting diverse inspection needs such as battery compartment temperature monitoring, fire monitoring, operational noise monitoring, and illegal intrusion monitoring. The inspection records obtained can be imported back into the energy storage power station's operation monitoring terminal, achieving bidirectional data sharing and further enhancing the overall safety of the energy storage power station. The intelligent inspection device also supports accompanying maintenance personnel during repairs, providing real-time monitoring data support and safety alerts for maintenance work. Attached Figure Description

[0016] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0017] Figure 1 This is a flowchart illustrating an intelligent inspection method for an energy storage power station according to an embodiment of this disclosure; Figure 2 This is a schematic diagram of a process for suspending inspection operations and performing abnormal response operations on abnormal facilities according to an embodiment of this disclosure; Figure 3 This is a schematic diagram of a process for performing inspection operations on an energy storage power station based on a preset inspection route, according to an embodiment of this disclosure. Figure 4This is a flowchart illustrating another intelligent inspection method for energy storage power stations provided according to an embodiment of this disclosure; Figure 5 This is a functional module diagram of an intelligent inspection system for an energy storage power station provided according to an embodiment of the present disclosure; Figure 6 This is a schematic diagram of the topology of an intelligent inspection system for an energy storage power station according to an embodiment of this disclosure; Figure 7 This is a functional module architecture diagram of an intelligent inspection device for an energy storage power station provided according to an embodiment of the present disclosure; Figure 8 This is a structural schematic diagram of an intelligent inspection device for an energy storage power station provided according to an embodiment of this disclosure. Detailed Implementation

[0018] Based on the relevant descriptions in the background section, for energy storage power stations located over large areas, traditional manual inspections are extremely time-consuming and resource-intensive, while also suffering from low inspection efficiency. They lack comprehensive, real-time monitoring capabilities and the ability to accurately locate potentially malfunctioning battery cells. Furthermore, manual inspections struggle to cover critical equipment such as high-altitude battery compartments, converters, and distributed step-up transformers, creating blind spots. Additionally, maintenance personnel are at risk of electric shock and other personal safety hazards during inspections due to contact with the components of the energy storage power station. Considering the characteristics of energy storage power stations, such as susceptibility to fire accidents, high safety requirements, complex inspection content, and high inspection risks, this disclosure provides an intelligent inspection method, system, and device for energy storage power stations. This device enables intelligent and automatic inspection of energy storage power stations. Through information sharing between the inspection device and the operation monitoring terminal of the energy storage power station, it can promptly locate potentially abnormal energy storage power station facilities during the inspection process and take targeted abnormal responses. It also supports full-cycle recording and backtracking of potential accident processes in energy storage power station facilities, achieving comprehensive and effective inspection and protection of energy storage power stations.

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the various embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details are presented in the various embodiments of this disclosure to facilitate a better understanding of the disclosure. However, the technical solutions claimed in this disclosure can be implemented even without these technical details and various variations and modifications based on the following embodiments. The division of the various embodiments below is for ease of description and should not constitute any limitation on the specific implementation of this disclosure. The various embodiments can be combined with and referenced by each other without contradiction.

[0020] In some embodiments of this disclosure, Figure 1A flowchart illustrating an intelligent inspection method for an energy storage power station is shown. In some embodiments, such as... Figure 1 The process 100 shown can be implemented by an intelligent inspection device for an energy storage power station, or it can be implemented collaboratively by the intelligent inspection device and the operation monitoring terminal of the energy storage power station; this is not limited here. In some embodiments, the intelligent inspection device for an energy storage power station can specifically be a drone, robot, inspection vehicle, robot dog, etc.; to meet the explosion-proof inspection requirements of electrochemical energy storage power stations, the intelligent inspection device for energy storage power stations can be manufactured using magnesium-aluminum alloy materials and have a special explosion-proof design for the entire unit; this is not limited here. In some embodiments, such as Figure 1 As shown, process 100 may specifically include the following steps: Step 110: Perform an inspection of the energy storage power station based on a preset inspection route, while simultaneously acquiring real-time monitoring data of the energy storage power station. In some embodiments, the inspection operation may specifically include acquiring one or more combinations of the following: facility temperature, facility appearance status, facility fire protection status, and facility operating noise of each component facility of the energy storage power station. In some embodiments, the internal temperature of the battery compartment in the energy storage power station can be obtained through the infrared temperature measurement component and / or thermal imaging component mounted on the energy storage power station intelligent inspection device; potential fire situations in the energy storage power station can be monitored through combustible gas detection components and / or smoke detection components; the entire inspection process can be recorded and filmed through explosion-proof wide-angle night vision camera components; and the operating sound of some facilities in the energy storage power station can be listened to through noise detection components to determine the facility operating status. In some embodiments, the inspection operation may also include monitoring for any abnormal intrusions into the energy storage power station. For example, using a drone-based intelligent inspection device for energy storage power stations, it can determine whether unauthorized personnel have intruded into the area where the energy storage power station is located through high-altitude overhead monitoring of the area.

[0021] Step 120: In the event of anomalies in real-time monitoring data, identify the anomalous facility corresponding to the anomalous monitoring data. In some embodiments, anomalies in real-time monitoring data indicate that the facility associated with the anomalous monitoring data may have an anomaly risk, requiring timely and targeted anomaly response operations.

[0022] Step 130: Suspend the inspection operation and perform anomaly response operations on the abnormal facility. In some embodiments, the anomaly response operation may specifically include acquiring one or more of the following: facility temperature, facility appearance status, facility fire protection status, and facility operating noise. The specific implementation of the anomaly response operation can refer to the implementation process of the inspection operation in the foregoing embodiments, and will not be repeated here. In some embodiments, the specific operation content of the anomaly response operation can be adjusted according to the abnormal situation of the abnormal facility. For example, when the abnormal monitoring data is that the temperature of a battery cell in a battery compartment in the energy storage power station is too high, the corresponding anomaly response operation may be to use infrared temperature measurement and / or thermal imaging instruments to acquire the current internal temperature of the battery cell in the battery compartment, so as to continuously monitor the development trend of thermal runaway of the cell, and at the same time monitor whether there are external damage, fire or other possible deterioration abnormalities of the battery cell in the battery compartment. Usually, it is not necessary to detect and monitor the operating noise of the battery cell in the battery compartment at this time, and it is not limited here.

[0023] In some embodiments, anomaly response operations can eliminate some of the false risks caused by misreporting of real-time monitoring data. At the same time, they can go to the abnormal facility where the accident occurred as soon as a real accident occurs to conduct continuous on-site monitoring. They can assess and monitor the development of the real accident in real time from multiple dimensions such as external temperature detection and external monitoring image acquisition. For example, when the temperature of a battery cell in a battery compartment of an energy storage power station is too high, the temperature monitoring equipment preset in the battery compartment may fail to report the temperature reading correctly due to changes in the working environment. At this time, the accurate internal temperature of the battery cell can be obtained through the external monitoring of the intelligent inspection device of the energy storage power station. The entire process of the real accident can be completely recorded before the operation and maintenance personnel arrive at the scene, providing a complete data foundation for subsequent accident analysis.

[0024] It is understandable that, based on the above process 100, automated inspection and monitoring of energy storage power stations can be achieved. Furthermore, when potential operational anomalies are detected in the components of the energy storage power station, the intelligent inspection device can be autonomously dispatched to respond to these anomalies. This allows for timely responses to operational anomalies in the energy storage power station and enables efficient and accurate inspections even in the relatively hazardous and complex deployment environments of energy storage power stations. The implementation of the above process 100 will be further explained and illustrated below with specific embodiments.

[0025] In some embodiments, Figure 2 A flowchart illustrating a process for suspending inspection operations and performing anomaly response operations on faulty facilities is shown. In some embodiments, such as Figure 2 As shown, process 200 may specifically include the following steps: Step 210: Record the pause point of the inspection operation.

[0026] Step 220: Based on the pause location and the location of the abnormal facility, plan the abnormal response path.

[0027] Step 230: Execute anomaly response operations based on the anomaly response path. In some embodiments, the intelligent inspection device of the energy storage power station can plan and formulate anomaly response paths based on its own navigation system and millimeter-wave lidar, according to its current location and the location of the abnormal facility, and move to the vicinity of the abnormal facility based on the anomaly response path to perform corresponding anomaly operations on the abnormal facility.

[0028] Step 240: If the anomaly response operation is completed, return to the paused position and resume the inspection operation. It is understood that, after the anomaly response operation is completed, the intelligent inspection device of the energy storage power station can return to the previous paused position and resume the unfinished inspection tasks to achieve a closed-loop process for the entire anomaly emergency response operation.

[0029] In some embodiments, Figure 3 A flowchart illustrating an inspection operation of an energy storage power station based on a preset inspection route is shown. In some embodiments, such as... Figure 3 As shown, process 300 may specifically include the following steps: Step 310: Store the inspection records of the inspection operation. In some embodiments, the inspection records may specifically include inspection data from the intelligent inspection device of the energy storage power station, such as the surface / internal temperature of the battery cells collected by the energy storage power station, exterior photos of some components of the energy storage power station taken by the camera, photos of smoke distribution near the energy storage power station taken by the camera, operating noise data of some components of the energy storage power station collected by the camera, and records of unauthorized personnel entering the area where the energy storage power station is located, etc., which are not limited here. In some embodiments, the inspection records may also include full audio and video recordings of the entire inspection process, so that users can review and view the historical inspection data of the intelligent inspection device of the energy storage power station later, which are not limited here.

[0030] Step 320: Generate inspection alarm information when an anomaly is found in the inspection record or when the inspection record is inconsistent with the real-time monitoring data. In some embodiments, an anomaly in the inspection record refers to a deviation between the obtained inspection data and the preset inspection standards. For example, it could be the detection of severe damage to the appearance of some equipment in the energy storage power station, abnormal smoke distribution near some equipment, or unauthorized personnel entering the controlled area of ​​the energy storage power station. This is not limited to these situations. Targeted inspection alarm information can be generated and issued based on the abnormal inspection record. For example, the inspection alarm information can be issued through the explosion-proof audible and visual alarm built into the intelligent inspection device of the energy storage power station. This is not limited to these situations. In some embodiments, since the intelligent inspection device of the energy storage power station can obtain real-time monitoring data shared by the operation monitoring terminal of the energy storage power station, in order to avoid the failure to detect abnormal movement of facilities in a timely manner during the acquisition and / or sharing of real-time monitoring data (for example, the data transmission path of a certain monitoring device in the energy storage power station may be faulty, resulting in the updated data not being fed back to the operation monitoring terminal of the energy storage power station in a timely manner, etc., which is not limited here), when the inspection record is inconsistent with the shared real-time monitoring data, it indicates that the corresponding monitoring device may have abnormal risks that need to be eliminated. At this time, the corresponding inspection alarm information can also be generated. For example, the intelligent inspection device of the energy storage power station can report the monitoring equipment monitoring abnormality warning to the operation and maintenance management platform of the energy storage power station. In some embodiments, the intelligent inspection device of the energy storage power station can also import the inspection record with abnormality back to the operation monitoring terminal of the energy storage power station to achieve two-way data communication and sharing, further improving the overall security of the energy storage power station.

[0031] In some embodiments, considering that the intelligent inspection device for energy storage power stations has energy limitations and does not require continuous 24 / 7 inspection and monitoring, the device can be placed on a charging standby platform for energy replenishment and standby maintenance when not performing inspection tasks. During inspection intervals when the intelligent inspection device is not performing inspection tasks, if the monitoring terminal of the energy storage power station detects abnormal monitoring data from the energy storage facilities, it can also promptly activate the intelligent inspection device to perform abnormal response operations. For example, Figure 4 A flowchart illustrating another intelligent inspection method for energy storage power stations is shown. In some embodiments, such as Figure 4 As shown, process 400 may specifically include the following steps: Step 410: Continuously acquire real-time monitoring data during inspection intervals. In some embodiments, during the inspection intervals of the intelligent inspection device of the energy storage power station, the charging standby platform can replenish energy and perform necessary standby maintenance on the intelligent inspection device. During the energy replenishment and standby maintenance of the intelligent inspection device, the charging standby platform can communicate and share data with the operation monitoring terminal of the energy storage power station to achieve continuous acquisition of real-time monitoring data. In some embodiments, the operation monitoring terminal can transmit abnormal real-time monitoring data and corresponding abnormal facility information to the charging standby platform, and the charging standby platform can create a corresponding abnormal response task and transmit it to the intelligent inspection device of the energy storage power station. In some embodiments, the charging standby platform can also autonomously determine whether abnormalities have occurred in the shared real-time monitoring data, which is not limited here.

[0032] Step 420: In the event of anomalies in real-time monitoring data, identify the malfunctioning facility and perform anomaly response procedures. In some embodiments, the stored energy of the intelligent inspection device for the energy storage power station can be configured to independently complete at least two or more comprehensive inspections of the energy storage power station. This ensures that when the intelligent inspection device completes an inspection and returns to the charging standby platform, it has sufficient energy to respond to any anomalies that may occur during the inspection intervals. In some embodiments, the specific implementation of the anomaly response procedures in step 420 can be referred to the relevant descriptions in the other embodiments mentioned above, and will not be repeated here.

[0033] In some embodiments, the intelligent inspection method for energy storage power stations provided in this disclosure can not only support automated inspection, but also support targeted independent inspection of one or more selected facilities according to the user's remote control command. In some embodiments, specifically, it can be to perform independent inspection of selected facilities of the energy storage power station in response to a first control command provided by the user. The first control command can be the user's special inspection requirements for the selected facilities of the energy storage power station. The above-mentioned independent inspection operation can be performed independently and at intervals from the preset inspection operation, or it can be performed sequentially according to different set operation priorities, which is not limited here.

[0034] In some embodiments, the intelligent inspection method for energy storage power stations provided in this disclosure also supports maintenance assistance performed by maintenance personnel. In some embodiments, specifically in response to a second control command provided by maintenance personnel, the intelligent inspection device for energy storage power stations performs maintenance assistance operations, which specifically include one or more combinations of providing inspection light sources, providing maintenance work lists, providing inspection work guidelines, and recording the collaborative inspection process. In some embodiments, manual inspection of energy storage power stations needs to support 24 / 7 operation. At night or when ambient light is insufficient, the intelligent inspection device for energy storage power stations can provide auxiliary inspection light sources. In some embodiments, when it is determined that some facilities in the energy storage power station are not visible, the intelligent inspection device for energy storage power stations can provide the operator with a corresponding maintenance work list or inspection work guidelines to assist the operator in performing maintenance work as safely as possible. Furthermore, the intelligent inspection device for energy storage power stations can also, based on shared real-time monitoring data, use its built-in electrical equipment operation ticket system to announce the operation tickets for the operator, providing intelligent anti-misoperation measures for the energy storage power station, and accurately monitoring the real-time status information of the equipment to be inspected and its associated equipment during the maintenance process. In some embodiments, the intelligent inspection device for energy storage power stations can also guide maintenance personnel to perform correct troubleshooting work in the event of an actual fault. For example, when a fire occurs in a battery compartment of an energy storage power station, it can guide maintenance personnel to use the nearest fire-fighting system in a timely manner and carry out correct and efficient fire-fighting response. This is not limited to specific cases.

[0035] In some embodiments of this disclosure, Figure 5 A functional module diagram of an intelligent inspection system for an energy storage power station is shown. In some embodiments, such as... Figure 5 As shown, this intelligent inspection system for energy storage power stations may specifically include a power station inspection unit 510, an anomaly location unit 520, and an anomaly response unit 530. In some embodiments, the power station inspection unit 510 is used to perform inspection operations on the energy storage power station based on a preset inspection route, and simultaneously acquire real-time monitoring data of the energy storage power station; the anomaly location unit 520 can be used to determine the abnormal facility corresponding to the abnormal monitoring data when an anomaly occurs in the real-time monitoring data; the anomaly response unit 530 can be used to suspend the inspection operation and move to the inspection location of the abnormal facility to perform an anomaly response operation on the abnormal facility. The specific functional implementation of the power station inspection unit 510 to the anomaly response unit 530 can be implemented with reference to the relevant steps in the intelligent inspection method for energy storage power stations provided in the foregoing embodiments, and will not be elaborated here.

[0036] In some embodiments of this disclosure, Figure 6 A schematic diagram of the topology of an intelligent inspection system for an energy storage power station is shown. In some embodiments, such as... Figure 6As shown, the complete intelligent inspection system for an energy storage power station includes an operation monitoring terminal 610, an energy storage power station facility terminal 620, an intelligent inspection terminal 630, and a charging standby platform 640. All components of the intelligent inspection system are connected via a network 650 to achieve communication and data sharing between them. In some embodiments, such as... Figure 6 As shown, the operation monitoring terminal 610 may specifically include an energy management system 611 (EMS), a supervisory control and data acquisition and monitoring system 612 (SCADA), a clock aligner 613, a five-prevention system 614 (a safety protection system designed to ensure the safe operation of the energy storage power station and prevent misoperation and accidents, drawing on the "five-prevention" concept of substations in traditional power systems), and a fire protection system 615, which are not limited here. In some embodiments, such as Figure 6 As shown, the intelligent inspection terminal 630 may specifically include one or more intelligent inspection devices 631 for energy storage power stations, inspection control workstations 632, etc., which are not limited here. In some embodiments, the network 650 may be any form of wired or wireless network, or any combination thereof, such as one or more combinations of wired networks, fiber optic networks, remote communication networks, internal networks, the Internet, local area networks (LANs), wide area networks (WANs), wireless local area networks (WLANs), metropolitan area networks (MANs), public switched telephone networks (PSTNs), Bluetooth networks, etc. The network 650 may specifically include functional components such as access points, switches, and firewalls. The operation monitoring terminal 610, the energy storage power station facility terminal 620, the intelligent inspection terminal 630, and the charging standby platform 640 can all access the network 650 through the access point.

[0037] In some embodiments of this disclosure, Figure 7 A functional module architecture diagram of an intelligent inspection device for an energy storage power station is shown. In some embodiments, such as... Figure 7 As shown, the intelligent inspection device for energy storage power stations may specifically include an inspection operation module 710, a communication sharing module 720, and a path planning module 730.

[0038] In some embodiments, the inspection operation module 710 can be used to perform inspection operations and / or anomaly response operations. In some embodiments, such as Figure 7As shown, the inspection module 710 may specifically include an infrared temperature measurement component 711, a thermal imaging component 712, a combustible gas detection component 713, a smoke detection component 714, an explosion-proof wide-angle night vision camera component 715, a noise detection component 716, an intrusion prevention monitoring component 717, an explosion-proof audible and visual alarm component 718, etc., which are not limited here; the functional implementation of each component can be referred to the relevant descriptions in the foregoing embodiments, which will not be repeated here.

[0039] In some embodiments, the communication sharing module 720 can be used to achieve communication interaction with the operation monitoring terminal of the energy storage power station, so as to share the real-time monitoring data and / or inspection records of the energy storage power station. In some embodiments, the intelligent inspection device of the energy storage power station can share the inspection records obtained during the inspection process with the station-side management system of the energy storage power station through the communication sharing module 720, and at the same time obtain the real-time monitoring data shared by the energy storage power station. In some embodiments, such as Figure 7 As shown, the communication sharing module 720 may specifically include a data communication component 721, a data monitoring and processing component 722, etc., which are not limited here.

[0040] In some embodiments, the path planning module 730 can be used to plan an anomaly response path for performing anomaly response operations based on the location of the anomaly facility. In some embodiments, such as Figure 7 As shown, the path planning module 730 may specifically include a millimeter-wave lidar component 731, a navigation planning component 732, etc., which will not be described in detail here.

[0041] In some embodiments, such as Figure 7 As shown, this type of intelligent inspection device for energy storage power stations may further include a maintenance assistance module 740 for performing maintenance assistance operations, wherein the maintenance assistance operations include one or more combinations of providing inspection light sources, providing maintenance work lists, providing inspection work guidelines, and recording collaborative inspection work processes. In some embodiments, such as Figure 7 As shown, the maintenance auxiliary module 740 may specifically include an explosion-proof lighting component 741, an operation ticket reading component 742, etc., which are not limited here; the functional implementation of each component can be referred to the relevant descriptions in the foregoing embodiments, which will not be repeated here.

[0042] In some embodiments, Figure 8 A schematic diagram of the structure of an intelligent inspection device for an energy storage power station is shown, as follows: Figure 8As shown, the intelligent inspection device for energy storage power stations includes at least one processor 810 and a memory 820 communicatively connected to the at least one processor. The memory 820 stores instructions that can be executed by the at least one processor 810. The instructions are executed by the at least one processor 810 to enable the at least one processor 810 to perform the relevant steps of the intelligent inspection method for energy storage power stations provided in the foregoing embodiments.

[0043] In some embodiments, such as Figure 8 As shown, the memory 820 and processor 810 are connected via a bus. The bus can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors 810 and the memory 820 together. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by processor 810 is transmitted over a wireless medium via an antenna, which further receives data and transmits it to processor 810.

[0044] In some embodiments, such as Figure 8 As shown, the processor 810 can manage the bus and perform general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions, while the memory 820 can be used to store the data used by the processor when performing operations, without limitation.

[0045] Some embodiments of this disclosure also relate to a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement the relevant steps of the intelligent inspection method for energy storage power stations provided in the foregoing embodiments. In some embodiments, the computer-readable storage medium may include flash memory, hard disk, multimedia card, card-type memory (e.g., SD or D3 memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the computer-readable storage medium may be an internal storage unit of a computer device, such as the hard disk or memory of the computer device. In other embodiments, the computer-readable storage medium may also be an external storage device of a computer device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. Of course, the computer-readable storage medium may include both internal storage units and external storage devices of a computer device. In this embodiment, the computer-readable storage medium is typically used to store the operating system and various application software installed on the computer device, such as the program code of the security communication method in this embodiment. Furthermore, the computer-readable storage medium can also be used to temporarily store various types of data that have been output or will be output.

[0046] Some embodiments of this disclosure also relate to a computer program product, including a computer program that, when executed by a processor, implements the relevant steps of the intelligent inspection method for energy storage power stations provided in the foregoing embodiments.

[0047] In some embodiments, the computer program product may involve only a computer program, which may be carried on a storage medium or processing device. In other embodiments, the computer program product may also be a storage medium or processing device containing the aforementioned computer program. The processing device may include one or more processors, and the storage medium. Those skilled in the art will understand that all or part of the steps in the secure communication methods provided in the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this disclosure.

[0048] The basic concepts have been described above. It is obvious that the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, various modifications, improvements, and corrections may be made to this specification by those skilled in the art. Such modifications, improvements, and corrections are taught in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

Claims

1. A smart inspection method for an energy storage power station, characterized in that, The method includes the following steps: The inspection operation is carried out on the energy storage power station based on the preset inspection route, and the real-time monitoring data of the energy storage power station is acquired at the same time. In the event of an anomaly in the real-time monitoring data, the abnormal facility corresponding to the abnormal monitoring data shall be identified. Suspend the inspection operation and perform anomaly response operations on the abnormal facility.

2. The intelligent inspection method for energy storage power stations according to claim 1, characterized in that, The process of suspending the inspection operation and performing anomaly response operations on the abnormal facility includes the following steps: Record the pause point of the inspection operation; Based on the pause location and the location of the abnormal facility, plan an abnormal response path; Execute the exception response job based on the exception response path; If the abnormal response operation is completed, return to the paused position and re-execute the inspection operation.

3. The intelligent inspection method for energy storage power stations according to claim 1, characterized in that, The process of performing inspection operations on the energy storage power station based on a preset inspection route includes the following steps: Store the inspection records of the aforementioned inspection operations; If the inspection record shows an anomaly or if the inspection record is inconsistent with the real-time monitoring data, an inspection alarm message will be generated.

4. The intelligent inspection method for energy storage power stations according to claim 1, characterized in that, The method further includes the following steps: The real-time monitoring data is continuously acquired during inspection intervals; In the event of an anomaly in the real-time monitoring data, the abnormal facility is identified, and the anomaly response operation is performed on the abnormal facility.

5. The intelligent inspection method for energy storage power stations according to claim 1, characterized in that, The method further includes the following steps; In response to a first control command, perform independent inspection operations on selected facilities of the energy storage power station; and / or In response to a second control command, maintenance auxiliary operations are performed, including one or more combinations of providing inspection light sources, providing maintenance operation lists, providing inspection operation guidelines, and recording the collaborative inspection operation process.

6. The intelligent inspection method for energy storage power stations according to any one of claims 1 to 5, characterized in that, The anomaly response operation includes obtaining one or more of the following: facility temperature, facility appearance, facility fire safety status, and facility operating noise.

7. The intelligent inspection method for energy storage power stations according to any one of claims 1 to 5, characterized in that, The inspection operation includes acquiring one or more of the following: facility temperature, facility appearance, facility fire protection status, and facility operating noise of each component facility of the energy storage power station; and / or monitoring whether there are any abnormal intrusions into the energy storage power station.

8. An intelligent inspection system for an energy storage power station, characterized in that, The system includes: The power station inspection unit is used to perform inspection operations on the energy storage power station based on a preset inspection route, and at the same time acquire real-time monitoring data of the energy storage power station. An anomaly location unit is used to determine the abnormal facility corresponding to the abnormal monitoring data when the real-time monitoring data shows an anomaly. An anomaly response unit is used to suspend the inspection operation and move to the inspection location of the abnormal facility to perform anomaly response operations on the abnormal facility.

9. An intelligent inspection device for an energy storage power station, characterized in that, The device, used in the intelligent inspection method for energy storage power stations as described in any one of claims 1 to 7, comprises: The inspection operation module is used to perform inspection operations and / or anomaly response operations; The communication sharing module is used to realize communication interaction with the operation monitoring terminal of the energy storage power station, so as to share the real-time monitoring data of the energy storage power station and / or the inspection records of the inspection operation. The path planning module is used to plan an anomaly response path for executing the anomaly response operation based on the location of the anomaly facility.

10. The intelligent inspection device for energy storage power stations according to claim 9, characterized in that, The device further includes: The maintenance assistance module is used to perform maintenance assistance operations, which include one or more combinations of providing inspection light sources, providing maintenance operation lists, providing inspection operation guidelines, and recording the collaborative inspection operation process.