Intelligent inspection method for new energy station and related device
By establishing association rules between alarm measurement points and video equipment inspection points in new energy power plants, an automated inspection process was achieved, solving the problems of cumbersome processes and poor accuracy caused by manual intervention in traditional inspection methods, and improving inspection efficiency and equipment stability.
Patent Information
- Application Number
- CN202511061052.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-30
- Publication Date
- 2025-10-21
AI Technical Summary
Traditional inspection methods for new energy power stations rely on manual intervention, resulting in cumbersome processes, poor accuracy, and an inability to detect and eliminate equipment faults in a timely manner, especially with severe task delays when multiple alarms are triggered.
By establishing association rules between alarm monitoring points and video equipment inspection points, and utilizing data association analysis and automated task scheduling mechanisms, abnormal locations are automatically identified and inspection task instructions are generated. The video equipment automatically performs the inspection, and the inspection results are monitored and displayed in real time.
It has automated the process from alarm to inspection, improved inspection efficiency and accuracy, shortened fault confirmation time, reduced labor costs, and improved operation and maintenance efficiency and equipment stability.
Smart Images
Figure CN120823692A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of inspection of equipment in new energy stations, and in particular relates to an intelligent inspection method and related devices for new energy stations. Background Art
[0002] With the development of new energy power generation technology, the construction scale and number of new energy sites such as wind power and photovoltaic power are constantly expanding; among them, the distribution of new energy sites generally shows the characteristics of "remote, small and scattered", and they are located in remote areas such as Gobi, desert and hills with complex terrain; at the same time, the equipment distribution of new energy power stations is relatively scattered, a single power station has a wide coverage area, and the distance between equipment is large, which makes manual operation and maintenance work extremely difficult. Operation and maintenance personnel need to travel long distances to reach the equipment site, which not only consumes a lot of time and energy, but also increases operation and maintenance costs.
[0003] During the operation and maintenance of new energy power stations, inspections are a key step in promptly detecting equipment failures and ensuring stable operation of the power station. Currently, traditional inspection methods mainly rely on a combination of manual and video equipment, with a typical process as follows: First, when an abnormality occurs in the power generation equipment, the equipment will trigger an alarm signal; then, the operation and maintenance personnel need to judge and analyze the alarm information, determine the scope and specific content of the equipment that needs to be inspected, and then issue inspection instructions to the video equipment; subsequently, the video equipment performs the inspection task in accordance with the inspection instructions, and collects the equipment's operating status information by capturing equipment images and videos, and transmits it back to the control center; finally, the operation and maintenance personnel determine whether the equipment has a fault and the severity of the fault by viewing the video images and data, and formulate corresponding maintenance or treatment measures.
[0004] However, the above-mentioned traditional inspection method relies on manual participation. When multiple alarms occur at the same time, multiple inspection tasks need to be issued at the same time. The manual processing process is cumbersome and has poor accuracy. In addition, multiple inspection tasks need to be executed sequentially and cannot be carried out synchronously, resulting in delays in inspection tasks and the inability to detect and eliminate equipment failures in a timely manner. Summary of the Invention
[0005] In response to the technical problems existing in the prior art, the present invention provides an intelligent inspection method and related devices for new energy stations to solve the technical problems that traditional inspection methods rely on manual participation, the manual processing process is cumbersome, the accuracy is poor, and it is easy to cause delays in inspection tasks and the inability to detect and eliminate equipment failures in a timely manner.
[0006] In order to achieve the above object, the technical solution adopted by the present invention is: The present invention provides an intelligent inspection method for a new energy station, comprising: Associating the alarm measuring point with the patrol point of the video device to obtain a measuring point-patrol point association rule; wherein the patrol point of the video device is the coordinate point when the video device performs the patrol task; Determine whether the real-time data of the alarm measuring point is abnormal; If the real-time data of the alarm measuring point is abnormal, the patrol point information to be assigned the inspection task is obtained based on the measuring point-patrol point association rule; Generate and send inspection tasks to video equipment based on the inspection point information to be dispatched; Obtain and display the inspection results of video equipment.
[0007] Furthermore, the measurement point-patrol point association rule is stored in a preset relational database; the primary key of the measurement point-patrol point association rule is the measurement point name of the alarm measurement point in the real-time database, and an alarm measurement point in the real-time database corresponds to one or more patrol points of the video equipment.
[0008] Furthermore, the process of determining whether the real-time data of the alarm measuring point is abnormal is as follows: Obtain historical data of alarm measurement points from the real-time database and store the historical data of alarm measurement points in the preset cache; Read the real-time data of the alarm measuring point from the real-time database regularly; The real-time data of the alarm measuring point is compared with the historical data of the alarm measuring point stored in the preset cache to determine whether the real-time data of the alarm measuring point has undergone abnormal changes; if so, the real-time data of the alarm measuring point is abnormal; otherwise, the real-time data of the alarm measuring point is normal.
[0009] Furthermore, the inspection point information to which the inspection task is to be dispatched includes an inspection point ID and an inspection area ID.
[0010] Furthermore, based on the inspection point information of the inspection task to be dispatched, the process of generating and sending the inspection task to the video device includes: Create a video inspection task class based on the inspection point information of the inspection task to be dispatched. The inspection task class is of the special inspection type and is named "alarm linkage inspection + execution time." The video inspection task class contains several inspection tasks. Using multi-threaded asynchronous execution, several inspection tasks in the video inspection task class are sent to the video device.
[0011] Furthermore, the inspection results of the video equipment include the inspection time, the inspection point name, the inspection area name, the inspection target device type, the inspection target device name, the inspection video recognition result and the fault judgment result.
[0012] The present invention also provides an intelligent inspection system for new energy stations, comprising: A rule association module is used to associate alarm measurement points with patrol points of video equipment to obtain measurement point-patrol point association rules; wherein the patrol points of video equipment are coordinate points when the video equipment performs patrol tasks; Abnormal judgment module, used to judge whether the real-time data of the alarm measurement point is abnormal; The information acquisition module is used to obtain the patrol point information to be assigned patrol tasks based on the measurement point-patrol point association rule if the real-time data of the alarm measurement point is abnormal; The task dispatching module is used to generate and send inspection tasks to video equipment based on the inspection point information of the inspection tasks to be dispatched; The result display module is used to obtain and display the inspection results of video equipment.
[0013] The present invention also provides an electronic device, comprising: a processor suitable for executing a computer program; A computer-readable storage medium having a computer program stored therein, wherein when the computer program is executed by the processor, the intelligent inspection method for new energy stations is executed.
[0014] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the intelligent inspection method for new energy stations.
[0015] The present invention also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the intelligent inspection method for new energy stations.
[0016] Compared with the prior art, the present invention has the following beneficial effects: The intelligent inspection method for new energy stations provided by the present invention accurately associates alarm measurement points in the new energy station with patrol points of video equipment to form measurement point-patrol point association rules, ensuring that video surveillance can be directly targeted at specific locations where anomalies may occur. By continuously monitoring the real-time data of the alarm measurement points, once a data anomaly is detected, the method automatically identifies the specific location requiring video inspection based on preset association rules, automatically generates corresponding inspection task instructions, and quickly sends them to the designated video equipment. After receiving the instructions, the video equipment automatically turns and focuses on the patrol point to perform detailed video inspection work. The inspection information fed back by the video equipment is collected and integrated, and the inspection results are presented to management personnel, enabling timely discovery and intuitive display of anomalies within the new energy station. In particular, by utilizing data association analysis and an automated task scheduling mechanism, the entire process from alarm measurement point data anomaly detection to video equipment automatic patrol is automated, greatly improving patrol efficiency and accuracy. At the same time, the time interval from data anomaly detection to anomaly confirmation is significantly shortened, reducing labor costs, greatly improving the operation and maintenance efficiency and safety of the new energy station, thereby improving the intelligent management level of the new energy station and enhancing the overall operational stability and reliability of the new energy management system.
[0017] The intelligent inspection system, electronic equipment, computer-readable storage medium and computer program product for new energy stations provided by the present invention have all the advantages of the above-mentioned intelligent inspection method for new energy stations. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0019] Figure 1 This is a flow chart of the intelligent inspection method for new energy stations provided in Example 1; Figure 2 This is a structural block diagram of the intelligent inspection system for new energy stations provided in Example 2; Figure 3 This is a structural block diagram of the electronic device provided in Example 3. DETAILED DESCRIPTION
[0020] In order to make the technical problems, technical solutions, and beneficial effects solved by this application more clearly understood, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application; it is obvious that the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of this application.
[0021] The present invention provides an intelligent inspection method for a new energy station, comprising the following steps: Step 100: Associate the alarm measuring point with the patrol point of the video device to obtain a measuring point-patrol point association rule; wherein the patrol point of the video device is the coordinate point when the video device performs a patrol task.
[0022] Step 200: Determine whether the real-time data of the alarm measuring point is abnormal.
[0023] Step 300: If the real-time data of the alarm measuring point is abnormal, then based on the measuring point-patrol point association rule, obtain the patrol point information to be assigned the patrol task.
[0024] Step 400: Generate and send an inspection task to a video device based on the inspection point information of the inspection task to be dispatched.
[0025] Step 500: Obtain and display inspection results of video equipment.
[0026] The intelligent inspection method for new energy sites described in the present invention can quickly and accurately locate the corresponding video equipment inspection points according to the alarm measuring points by establishing the association rules between the alarm measuring points and the inspection points of the video equipment, thereby realizing the automatic matching of the alarm measuring points and the inspection points, greatly reducing the time and error of manual judgment, and improving the accuracy and efficiency of the inspection task dispatching; by judging whether the data of the alarm measuring points are abnormal in real time, once the abnormality is detected, the inspection point information of the inspection task to be dispatched is automatically obtained based on the measuring point-inspection point association rules, and the inspection task is generated and sent to the video equipment; the whole process does not require manual intervention, and realizes the automation process from alarm triggering to inspection task dispatching, avoiding the tedious process of manually handling multiple alarms, significantly shortening the task response time, and being able to start the inspection work more timely, so as to timely discover the equipment It provides strong protection against faults; based on the automated task dispatching mechanism, the video equipment can receive multiple inspection tasks at the same time and execute the inspection tasks synchronously according to the preset rules; when multiple alarms occur, the video equipment can be quickly dispatched to conduct a comprehensive inspection of the relevant equipment, avoiding the delay caused by the sequential execution of tasks, greatly improving the timeliness of fault discovery, and helping operation and maintenance personnel to formulate maintenance or treatment measures as early as possible, reducing the impact of equipment failures on the power generation efficiency and stability of new energy sites; secondly, by collecting the equipment operating status information from the video equipment and displaying it to the operation and maintenance personnel, the operation and maintenance personnel can have a clearer understanding of the actual situation of the equipment, which helps the operation and maintenance personnel to more accurately judge whether there is a fault in the equipment and the severity of the fault, so as to formulate more scientific and reasonable maintenance or treatment measures, and improve the accuracy and efficiency of operation and maintenance decisions.
[0027] The following further explains the intelligent inspection method for new energy stations provided by the present invention with some specific embodiments: Example 1 As attached Figure 1 As shown, this embodiment 1 provides an intelligent inspection method for a new energy station, comprising the following steps: Step 1: Associate the alarm measurement point with the patrol point of the video device to obtain the measurement point-patrol point association rule; wherein the patrol point of the video device is the coordinate point when the video device performs the patrol task. Specifically, the process of associating the alarm measurement point with the patrol point of the video device is as follows: The alarm measurement point alarm Point of the real-time database and the inspection point inspectionPoint of the video device are obtained; based on the preset visual configuration interface, the association relationship between the alarm measurement point alarm Point of the real-time database and the inspection point inspection Point of the video device is established to obtain the measurement point-inspection point association rule; wherein, the alarm measurement point alarm Point of the real-time database corresponds to one or more inspection points inspection Point of the video device.
[0028] Preferably, the measurement point-patrol point association rule is stored in a preset relational database; the primary key of the measurement point-patrol point association rule is the measurement point name of the alarm measurement point in the real-time database, which is used for query and retrieval.
[0029] Step 2: Determine whether the real-time data of the alarm measurement point is abnormal. Specifically, the steps are as follows: Step 21. Obtain the historical data of the alarm measuring point from the real-time database, and store the historical data of the alarm measuring point in the preset cache; specifically, use the getOrCreateOPPool() method to configure the address, port, user name, and password of the real-time database, and build the real-time database connection pool OPPool; use the getConnection() method to obtain the database connection object conn from the real-time database connection pool OPPool; use the find method of the database connection object conn to obtain the historical data of the alarm measuring point; use the redisTemplate.opsForHash.put() method to store the historical data of the alarm measuring point in the preset cache; wherein, the measuring point name of the alarm measuring point is used as the Key, and the historical data of the alarm measuring point is used as the Value.
[0030] Step 22: Read the real-time data of the alarm measurement point from the real-time database at regular intervals. It should be noted that the alarm measurement point collects the measurement point data into the real-time database open Plant through the data acquisition device for storage; by determining whether the real-time data of the alarm measurement point is abnormal, the operating status of the equipment is monitored in real time.
[0031] Step 23: Compare the real-time data of the alarm measuring point with the historical data of the alarm measuring point stored in the preset cache to determine whether the real-time data of the alarm measuring point has undergone abnormal changes; if so, the real-time data of the alarm measuring point is abnormal; otherwise, the real-time data of the alarm measuring point is normal.
[0032] Step 3: If the real-time data of the alarm measuring point is abnormal, then based on the measuring point-patrol point association rule, obtain the patrol point information for the patrol task to be dispatched. The patrol point information for the patrol task to be dispatched includes the patrol point ID and patrol area ID.
[0033] Step 4: Based on the inspection point information of the inspection task to be dispatched, generate and send the inspection task to the video device. Specifically, the process is as follows: Step 41. Based on the inspection point information of the inspection task to be dispatched, create a video inspection task class inspection Plan through multi-threading; wherein, the type of the inspection task class inspection Plan is special inspection, and the code is 22; the name of the inspection task class inspection Plan is alarm linkage inspection + execution time; the video inspection task class contains several inspection tasks, and the priority of the inspection task is the highest level; wherein, use the for loop and threadPool.exeute() method to create an inspection task for each inspection point.
[0034] Step 42: Use multi-threaded asynchronous execution to send several inspection tasks in the video inspection task class to the video device; wherein, use multi-threading to execute the inspection task dispatch for each inspection point.
[0035] It should be noted that when the video device receives an inspection task, it starts to execute the inspection task in accordance with the planned order of the inspection task; among them, when executing the inspection task, the video device moves to the inspection point position through the preset track robot, and rotates itself to aim the camera at the inspection point for shooting.
[0036] Step 5: Obtain and display the inspection results of the video equipment. The inspection results of the video equipment include the inspection time, inspection point name, inspection area name, inspection target device type, inspection target device name, inspection video recognition result, and fault judgment result.
[0037] The intelligent inspection method for a new energy station described in Example 1 creates a measurement point-patrol point association rule and subscribes to the alarm measurement points in a real-time database; determines whether the real-time data of the alarm measurement point is abnormal, and triggers the execution of an inspection task when the real-time data of the alarm measurement point is abnormal; after the video device executes the inspection task, it generates and displays the inspection results to assist operators in analysis.
[0038] In the present invention, the association relationship between the alarm measuring point and the patrol point of the video equipment is configured through a visual configuration interface to create a measuring point-patrol point association rule; it is determined whether the real-time data of the alarm measuring point is abnormal, and the real-time data of the alarm measuring point is compared with the historical data of the alarm measuring point stored in a preset cache, so as to monitor the operating status of the power generation equipment in real time through the data change of the alarm measuring point; wherein, when the real-time data of the alarm measuring point jumps from a normal value to an abnormal value, it indicates that the equipment has failed and an alarm is triggered; specifically, the alarm measuring point subscription is implemented in combination with a real-time database and a preset cache, by reading the historical data of the alarm measuring point in the real-time database, using the measuring point name of the alarm measuring point as the key and the historical data of the alarm measuring point as the value, and storing them in the preset cache in a Hash type; then the real-time value of the alarm measuring point in the real-time database is read at regular intervals and compared with the value in the redis cache; if the comparison result is different, it means that the measuring point value has changed, an alarm has occurred at the monitoring point of the equipment corresponding to the measuring point, and the inspection task is triggered to be issued.
[0039] In the present invention, inspection tasks are issued in a multi-threaded asynchronous execution manner; its task thread creation inherits the Thread class that comes with Java; specifically, based on the measurement point-inspection point association rule, the inspection point information of the inspection task to be dispatched is obtained; then, according to the inspection point information of the inspection task to be dispatched, a video inspection task class Inspection Plan is constructed to create several inspection tasks; wherein, the inspection type is set to special inspection, and the inspection name is set to: alarm linkage inspection + execution time; the inspection point information of the inspection task to be dispatched includes: inspection point ID, area ID, and the inspection task level is set to the highest level. Finally, the insert Inspection Plan Return PlanId method is used to issue the inspection task.
[0040] It should be noted that when alarms occur at multiple measuring points, a for loop is used to build an inspection task distribution thread based on each measuring point, and the thread Pool.exeute() method is used to execute each thread task, thereby realizing multi-threaded asynchronous execution of inspection tasks. Multiple inspection tasks can be executed simultaneously without waiting, thereby improving the real-time performance of alarm inspections. After the inspection task is completed, the inspection results of the video equipment are automatically returned to the visual interface for analysis by the operation and maintenance personnel, thereby improving the efficiency of handling alarm events.
[0041] Example 2 As attached Figure 2 As shown, this embodiment 2 provides an intelligent inspection system for new energy stations, including a rule association module, an abnormality judgment module, an information acquisition module, a task dispatching module and a result display module.
[0042] The rule association module is used to associate the alarm measurement point with the patrol point of the video device to obtain the measurement point-patrol point association rule; wherein the patrol point of the video device is the coordinate point when the video device performs the patrol task; the abnormality judgment module is used to judge whether the real-time data of the alarm measurement point is abnormal; the information acquisition module is used to obtain the patrol point information of the patrol task to be dispatched based on the measurement point-patrol point association rule if the real-time data of the alarm measurement point is abnormal; the task dispatching module is used to generate and send the patrol task to the video device based on the patrol point information of the patrol task to be dispatched; the result display module is used to obtain and display the patrol results of the video device.
[0043] Example 3 As attached Figure 3 As shown, this embodiment 3 provides an electronic device, including: a memory for storing a computer program; a processor for implementing the steps of the intelligent inspection method for new energy stations when executing the computer program; or, when the processor executes the computer program, implementing the functions of each module in the above-mentioned intelligent inspection system for new energy stations.
[0044] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing preset functions, and the instruction segments are used to describe the execution process of the computer program in the electronic device.
[0045] The electronic device may be a computing device such as a desktop computer, laptop, PDA, or cloud server. The electronic device may include, but is not limited to, a processor and memory. Those skilled in the art will appreciate that the above are examples of electronic devices and do not constitute a limitation on electronic devices. The electronic device may include more components than those described above, or a combination of certain components, or different components. For example, the electronic device may also include a communication interface, input / output devices, network access devices, and a bus.
[0046] The processor may be a central processing unit, or other general-purpose processor, a digital signal processor, an application-specific integrated circuit, an off-the-shelf programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc. A general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the electronic device, connecting all parts of the electronic device using various communication interfaces and lines.
[0047] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.
[0048] The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as a sound playback function or an image playback function); the data storage area may store data generated based on the use of the mobile phone (such as audio data, a phone book, etc.). Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart memory card, a secure digital card, a flash memory card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage device.
[0049] Example 4 This embodiment 4 also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the intelligent inspection method for new energy stations.
[0050] If the integrated modules / units of the intelligent inspection system for new energy stations are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
[0051] Based on this understanding, the present invention implements all or part of the processes in the above-mentioned intelligent inspection method for new energy stations, and can also be completed by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the above-mentioned intelligent inspection method for new energy stations. The computer program includes computer program code, which can be in source code form, object code form, executable file, or preset intermediate form.
[0052] The computer-readable storage medium may include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium, etc.
[0053] Example 5 This embodiment 5 provides a computer product, which includes a computer program product, and the computer program is stored in a computer-readable storage medium; the processor of the electronic device reads the computer program from the computer-readable storage medium, and the processor executes the computer program, so that the electronic device can execute the intelligent inspection method for new energy stations described in embodiment 1, which will not be repeated here.
[0054] It should be noted that a person skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods.
[0055] The intelligent inspection method for new energy stations disclosed herein associates an alarm point (alarm point) with an inspect point (inspect point) of a video device. When an alarm occurs, an inspection task can be automatically triggered, eliminating manual intervention, shortening the inspection process, and improving accuracy. Specifically, by associating the alarm point with the inspect point of the video device, the corresponding video device inspect point can be quickly and accurately located based on the location information of the alarm point, significantly reducing the time and error of manual judgment and improving the accuracy and efficiency of inspection task dispatching. The method also determines in real time whether the data at the alarm point is abnormal. Once an abnormality is detected, the inspect point information for the inspection task to be dispatched is automatically obtained based on the alarm point-inspect point association rule, and the inspection task is generated and sent to the video device, thereby realizing an automated process from alarm triggering to inspection task dispatching and enabling more timely initiation of inspection work. Secondly, based on the automated task dispatching mechanism, the video device can simultaneously receive multiple inspection tasks and synchronously execute the inspection tasks according to preset rules. This allows the video device to be quickly dispatched to conduct a comprehensive inspection of related equipment, avoiding delays caused by sequential task execution and significantly improving the timeliness of fault discovery.
[0056] The above embodiment is only one of the implementation methods that can realize the technical solution of the present invention. The scope of protection claimed by the present invention is not limited only to this embodiment, but also includes changes, replacements and other implementation methods that can be easily thought of by any technician familiar with this technical field within the technical scope disclosed by the present invention.
Claims
1. An intelligent inspection method for new energy stations, characterized in that: include: Associating the alarm measuring point with the patrol point of the video device to obtain a measuring point-patrol point association rule; wherein the patrol point of the video device is the coordinate point when the video device performs the patrol task; Determine whether the real-time data of the alarm measuring point is abnormal; If the real-time data of the alarm measuring point is abnormal, the patrol point information to be assigned the inspection task is obtained based on the measuring point-patrol point association rule; Generate and send inspection tasks to video equipment based on the inspection point information to be dispatched; Obtain and display the inspection results of video equipment.
2. The intelligent inspection method for new energy stations according to claim 1, characterized in that: The measurement point-patrol point association rule is stored in a preset relational database; the primary key of the measurement point-patrol point association rule is the measurement point name of the alarm measurement point in the real-time database, and an alarm measurement point in the real-time database corresponds to one or more patrol points of video devices.
3. The intelligent inspection method for new energy stations according to claim 1, characterized in that: The process of judging whether the real-time data of the alarm measuring point is abnormal is as follows: Obtain historical data of alarm measurement points from the real-time database and store the historical data of alarm measurement points in the preset cache; Read the real-time data of the alarm measuring point from the real-time database regularly; The real-time data of the alarm measuring point is compared with the historical data of the alarm measuring point stored in the preset cache to determine whether the real-time data of the alarm measuring point has undergone abnormal changes; if so, the real-time data of the alarm measuring point is abnormal; otherwise, the real-time data of the alarm measuring point is normal.
4. The intelligent inspection method for new energy stations according to claim 1, characterized in that: The inspection point information for which the inspection task is to be dispatched includes the inspection point ID and the inspection area ID.
5. The intelligent inspection method for a new energy station according to claim 1, characterized in that: The process of generating and sending inspection tasks to video devices based on the inspection point information of the inspection tasks to be dispatched includes: Create a video inspection task class based on the inspection point information of the inspection task to be dispatched. The inspection task class is of the special inspection type and is named "alarm linkage inspection + execution time." The video inspection task class contains several inspection tasks. Using multi-threaded asynchronous execution, several inspection tasks in the video inspection task class are sent to the video device.
6. The intelligent inspection method for new energy stations according to claim 1, characterized in that: The inspection results of the video equipment include the inspection time, inspection point name, inspection area name, inspection target device type, inspection target device name, inspection video recognition results and fault judgment results.
7. An intelligent inspection system for new energy stations, characterized in that: include: A rule association module is used to associate alarm measurement points with patrol points of video equipment to obtain measurement point-patrol point association rules; wherein the patrol points of video equipment are coordinate points when the video equipment performs patrol tasks; Abnormal judgment module, used to judge whether the real-time data of the alarm measurement point is abnormal; The information acquisition module is used to obtain the patrol point information to be assigned patrol tasks based on the measurement point-patrol point association rule if the real-time data of the alarm measurement point is abnormal; The task dispatching module is used to generate and send inspection tasks to video equipment based on the inspection point information of the inspection tasks to be dispatched; The result display module is used to obtain and display the inspection results of video equipment.
8. An electronic device, characterized in that: include: a processor suitable for executing a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the intelligent inspection method for a new energy station according to any one of claims 1 to 6 is executed.
9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the intelligent inspection method for a new energy station according to any one of claims 1 to 6 is implemented.
10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, it implements the intelligent inspection method for new energy stations according to any one of claims 1 to 6.