CN-122022757-A - Offshore wind power intelligent operation and maintenance method, system, equipment and medium based on 5G private network

CN122022757ACN 122022757 ACN122022757 ACN 122022757ACN-122022757-A

Abstract

The invention discloses an offshore wind power intelligent operation and maintenance method, system, equipment and medium based on a 5G private network, belonging to the technical field of offshore wind power operation and maintenance, comprising the following steps: transmitting the field real-time video data to an edge computing platform through a 5G private network, carrying out equipment component identification and fault feature detection by adopting edge intelligent identification processing, binding expert guidance marking information with the spatial position of the equipment component, transmitting the binding information back to augmented reality equipment for display, extracting data to be inspected and approved by adopting multi-source data acquisition processing according to a data acquisition mode selected by self-adaption according to the interface characteristics of a service system, and inputting the data into an inspection rule engine for judgment and writing back the service system after data conversion. According to the invention, intelligent identification processing is finished locally on the edge platform, so that data round trip delay is avoided, binding of the labels and the physical positions of the equipment is realized through space pose calculation, the labels keep accurate pointing along with movement of the visual angle, and cross-system data flow without modification is realized through self-adaptive selection of a data acquisition mode.

Inventors

WANG CHAOJIE
QIU LI
LIU JINYAO
LI BOQING
HUANG RUI

Assignees

华电(福建)风电有限公司

Dates

Publication Date: 20260512
Application Date: 20251205

Claims (10)

1. An offshore wind power intelligent operation and maintenance method based on a 5G private network is characterized by comprising the steps of, Acquiring real-time video data of field operation through a 5G base station arranged in a fan cabin and a booster station, and transmitting the real-time video data to an edge computing platform arranged in the booster station cabin through a 5G private network; in the edge computing platform, carrying out equipment component identification and fault feature detection on the real-time video data by adopting edge intelligent identification processing, and synchronously transmitting identification and detection results and the real-time video data to a background expert terminal; receiving instruction labeling information generated by a background expert aiming at the real-time video data, binding the instruction labeling information with the space position of the equipment part, and transmitting the bound labeling information back to field augmented reality equipment for superposition display; extracting data to be examined and approved from the service system by adopting multi-source data acquisition processing according to the interface characteristic self-adaptive selection data acquisition mode of the service system; and carrying out data conversion processing on the data to be examined to obtain standardized data, inputting the standardized data into a preset examination rule engine to judge to obtain an examination result, generating write-back data according to the examination result and writing the write-back data into a service system.
2. The method for intelligent operation and maintenance of offshore wind power based on a 5G private network according to claim 1, wherein the step of performing equipment component identification and fault feature detection on the real-time video data by adopting edge intelligent identification processing comprises the following steps: Extracting video frames from the real-time video data, and carrying out image preprocessing on the video frames; analyzing the preprocessed video frame by adopting a target detection algorithm, and extracting the image characteristics of the equipment; Performing similarity calculation on the equipment image features and a pre-stored equipment part feature library, and determining the type of the equipment part according to a similarity calculation result; Extracting abnormal characteristic parameters from the real-time video data by adopting an abnormal characteristic extraction mode, wherein the abnormal characteristic extraction mode comprises the steps of carrying out temperature distribution analysis on thermal imaging data to determine a temperature abnormal region, and carrying out texture analysis on an equipment surface image to identify cracks or deformation; And determining the fault type according to the abnormal characteristic parameters and a preset fault discrimination rule.
3. The method for intelligent operation and maintenance of offshore wind power based on the 5G private network according to claim 2, wherein the step of calculating the similarity between the device image features and a pre-stored device part feature library comprises the following steps: Extracting key point coordinates and descriptors in the image features of the equipment; Reading standard key point coordinates and standard descriptors corresponding to all equipment parts from the equipment part feature library; Calculating the space distance between the key point coordinates and the standard key point coordinates, and calculating the vector distance between the descriptor and the standard descriptor; And comprehensively calculating a similarity score according to the space distance and the vector distance, and selecting the equipment part with the highest similarity score as a recognition result.
4. The method for intelligent operation and maintenance of offshore wind power based on the 5G private network of claim 3, wherein the binding the instruction labeling information with the spatial position of the equipment component comprises the following steps: Determining the spatial pose of the field augmented reality device relative to the device component by adopting visual positioning processing, wherein the visual positioning processing comprises the steps of collecting an environment image through the augmented reality device, extracting environment characteristic points, matching the environment characteristic points with a pre-constructed three-dimensional point cloud map, and calculating the position coordinates and the pose angles of the augmented reality device according to a matching result; Calculating anchor point coordinates of the guiding and labeling information in a three-dimensional space according to the space pose and the pre-stored three-dimensional model coordinates of the equipment component; and establishing an association relation between the anchor point coordinates and the identification information of the equipment component and storing the association relation.
5. The method for intelligent operation and maintenance of offshore wind power based on the 5G private network of claim 4, wherein the matching of the environmental feature points with the pre-constructed three-dimensional point cloud map comprises the following steps: Extracting a local point cloud subset from the three-dimensional point cloud map; calculating the descriptor similarity between the environment characteristic points and each point in the local point cloud subset; Selecting a point pair with descriptor similarity larger than a preset threshold as a candidate matching point pair; and carrying out geometric consistency test on the candidate matching point pairs, removing the matching point pairs which do not meet geometric constraint, and reserving the matching point pairs which pass the test for calculating the space pose of the augmented reality equipment.
6. The method for intelligent operation and maintenance of offshore wind power based on a 5G private network according to claim 5, wherein the step of extracting the pending batch data from the service system by adopting the multi-source data acquisition process to adaptively select a data acquisition mode according to the interface characteristics of the service system comprises the following steps: sending an interface detection request to a service system; analyzing interface description information returned by the service system, and judging whether the service system provides an application program interface or not; when judging that the service system provides an application program interface, calling the application program interface and transmitting a query parameter to acquire the data of the batch to be checked; When the service system is judged not to provide an application program interface, whether the service system opens the database access right is detected, query sentences are executed through database connection to obtain the data to be checked when the open database access right is detected, and the service system is logged in through a simulation user interface operation mode and the data to be checked is extracted when the unopened database access right is detected.
7. The method for intelligent operation and maintenance of offshore wind power based on a 5G private network according to claim 6, wherein the logging in the service system and extracting the batch data through the operation mode of the simulation user interface comprises the following steps: Acquiring page element information of a business system login page; Positioning a user name input box and a password input box according to the page element information, and inputting a pre-stored login credential to the user name input box and the password input box; Triggering a login button element to complete login and entering a data display page of a business system; And analyzing the page structure of the data display page, and extracting a data record containing the identification to be examined and approved as the data to be examined and approved.
8. An offshore wind power intelligent operation and maintenance system based on a 5G private network, which is applied to the offshore wind power intelligent operation and maintenance method based on the 5G private network according to any one of claims 1-7, and is characterized by comprising a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring real-time video data of field operation through a 5G base station arranged in a fan cabin and a booster station, and transmitting the real-time video data to an edge computing platform deployed in the booster station machine room through the 5G private network; The edge recognition module is used for carrying out equipment component recognition and fault feature detection on the real-time video data by adopting edge intelligent recognition processing in the edge computing platform, and synchronously transmitting recognition and detection results and the real-time video data to a background expert terminal; The annotation processing module is used for receiving guide annotation information generated by a background expert aiming at the real-time video data, binding the guide annotation information with the space position of the equipment part, and transmitting the bound annotation information back to the field augmented reality equipment for superposition display; The data acquisition module is used for extracting data to be examined from the service system by adopting multi-source data acquisition processing according to the interface characteristic self-adaptive selection data acquisition mode of the service system; And the approval processing module is used for carrying out data conversion processing on the to-be-approved data to obtain standardized data, inputting the standardized data into a preset approval rule engine to judge to obtain an approval result, generating write-back data according to the approval result and writing the write-back data into the service system.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of a 5G private network based offshore wind power intelligent operation and maintenance method according to any one of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of a 5G private network based offshore wind power intelligent operation and maintenance method according to any one of claims 1 to 7.

Description

Offshore wind power intelligent operation and maintenance method, system, equipment and medium based on 5G private network Technical Field The invention relates to the technical field of offshore wind power operation and maintenance, in particular to an offshore wind power intelligent operation and maintenance method, system, equipment and medium based on a 5G private network. Background Offshore wind power is taken as an important component of clean energy, and the operation and maintenance management of the offshore wind power directly influences the power generation efficiency and the service life of equipment. The existing offshore wind power operation and maintenance method mainly depends on field inspection and maintenance of technicians, and has the problems of high offshore operation risk, long response time, incapability of sharing expert resources and the like. The traditional operation and maintenance method generally adopts industrial WiFi or 4G public network for communication, but the coverage area of the industrial WiFi is limited, the signal attenuation is obvious in the environment with serious metal shielding such as the inside of the offshore wind turbine tower and the engine room, and the like, and the requirement of high-definition video real-time transmission cannot be met. Although the coverage area of the 4G public network is wider, the bandwidth is limited, the time delay is higher, the real-time audio and video communication and the augmented reality application in the remote maintenance process are difficult to support, and meanwhile, the public network transmission has potential data safety hazards. In the aspect of remote maintenance, a background expert is used for guiding field personnel remotely in a video call mode, but the expert is difficult to accurately judge the position of a device part and a fault point through a two-dimensional video picture, guiding marking information cannot be accurately positioned to the physical position of the device, and when the field personnel move a visual angle, the marking information fails, the expert is required to repeatedly mark again, and the communication efficiency is low. Although some technologies introduce augmented reality equipment, video data and annotation processing are carried out in the cloud, and data round-trip transmission causes delay increase, so that real-time interaction experience is affected. In the aspect of operation and maintenance management, the offshore wind farm relates to a plurality of business systems, including an equipment monitoring system, an asset management system, a purchasing system, an approval system and the like, wherein the systems are mutually independent and have different technical architectures. The traditional method needs to manually switch among a plurality of systems to finish the approval process, one spare part purchase approval needs to log in a plurality of systems and manually input data, and the process is long in time consumption and easy to make mistakes. And part of the systems do not provide a data interface for the old systems, and data between the systems cannot be automatically circulated. Disclosure of Invention In view of the problems, the invention provides an offshore wind power intelligent operation and maintenance method, system, equipment and medium based on a 5G private network. The method solves the technical problems of realizing low-delay remote maintenance communication in a complex environment of an offshore wind farm, completing intelligent recognition processing of video data locally through an edge computing platform to reduce data round trip transmission delay, precisely binding remote guidance marking information to the space position of equipment parts, enabling marking to still keep accurate pointing when field personnel move in view, and adaptively selecting a data acquisition mode according to interface characteristics of different service systems on the premise of not modifying the existing service systems so as to realize automatic circulation and approval of cross-system data. In order to solve the technical problems, the invention provides a 5G private network-based offshore wind power intelligent operation and maintenance method which comprises the following steps of, Acquiring real-time video data of field operation through a 5G base station arranged in a fan cabin and a booster station, and transmitting the real-time video data to an edge computing platform arranged in the booster station cabin through a 5G private network; in the edge computing platform, carrying out equipment component identification and fault feature detection on the real-time video data by adopting edge intelligent identification processing, and synchronously transmitting identification and detection results and the real-time video data to a background expert terminal; receiving instruction labeling information generated by a background expert aiming at the real-time vide