CN116866512A - Photovoltaic power station inspection system and operation method thereof - Google Patents
Photovoltaic power station inspection system and operation method thereof Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
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Abstract
The application relates to the technical field of operation and maintenance of photovoltaic power stations, in particular to a photovoltaic power station inspection system and an operation method thereof.
Description
Technical Field
The application relates to the technical field of operation and maintenance of photovoltaic power stations, in particular to a photovoltaic power station inspection system and an operation method thereof.
Background
The photovoltaic power generation system is divided into an independent photovoltaic system and a grid-connected photovoltaic system. The independent photovoltaic power station comprises village power supply systems in remote areas, solar household power supply systems, various photovoltaic power generation systems with storage batteries, such as communication signal power supply, cathode protection, solar street lamps and the like, which can be independently operated. The existing photovoltaic power station inspection system is based on unmanned aerial vehicle to inspect according to a preset route in the air, the inspection mode is that video data are collected through the unmanned aerial vehicle, the video data collected by the unmanned aerial vehicle are transmitted to an upper computer to be analyzed and processed, an analysis result of the photovoltaic power station inspection is obtained, and early warning information is sent to photovoltaic power station management staff if abnormal conditions are found.
In the practical use process, the area of the photovoltaic power station is large and the photovoltaic power station is located in an open area, the existing unmanned aerial vehicle inspection needs to be inspected according to a preset route and a preset time period, but the unmanned aerial vehicle flies through the preset inspection point to the inspection end process, an inspection blind point exists, for example, the inspection line is A-B-C-D, the unmanned aerial vehicle firstly inspects the A point in T time, then inspects the B point in T+1 time period, secondly inspects the C point in T+2 time period, finally flies to the D point to inspect, and in the inspection process, the unmanned aerial vehicle inspects the C point in T+2 time, but because the unmanned aerial vehicle is at the C point, the operation condition of the A point is not known, the inspection result is displayed normally, but the actual A point is failed, so that maintenance personnel cannot maintain the photovoltaic fault equipment in the first time, and the photovoltaic power station and the operation method thereof are developed.
Disclosure of Invention
The application aims to provide a photovoltaic power station inspection system and an operation method thereof, which are used for solving the problem that maintenance staff cannot maintain photovoltaic power station fault equipment at the first time due to the fact that an unmanned aerial vehicle is limited in inspection range within a specified time range.
In a first aspect, the present application provides a photovoltaic power plant inspection system, comprising;
inspection equipment marking module: the method comprises the steps of obtaining inspection equipment information, wherein the inspection equipment information comprises unmanned aerial vehicle models and unmanned aerial vehicle basic operation parameter data, marking inspection equipment and establishing inspection equipment serial number information to obtain inspection equipment unit operation basic data, and the unmanned aerial vehicle unit operation basic data comprise unmanned aerial vehicle numbers, unmanned aerial vehicle numbers and unmanned aerial vehicle operation parameters;
the inspection route processing module: receiving routing data, matching a routing path with routing time to generate routing nodes, and matching the routing nodes with the unmanned aerial vehicle unit operation basic data to obtain unmanned aerial vehicle unit routing data;
and the patrol data receiving module is used for: receiving data acquired by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes, marking the data according to a receiving sequence, and storing a marking result to a cloud server according to the data receiving sequence;
and the inspection data analysis module: carrying out graphic feature extraction on data collected by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes to obtain routing inspection feature data and historical image feature data of each node of the unmanned aerial vehicle, matching the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data, and comparing the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data to obtain routing inspection data analysis results;
inspection early warning module: and generating early warning information according to the inspection data analysis result and sending the early warning information to preset receiving end equipment.
Further, the inspection equipment marking module comprises;
the acquisition module is used for: acquiring the number of the inspection equipment and basic parameter data of the inspection equipment, wherein the basic parameter data of the inspection equipment comprise the model number, the flight log data and the existing electric quantity of the inspection equipment;
and a marking module: marking the inspection equipment to obtain an inspection equipment marking result, and matching basic parameter data of the inspection equipment with the inspection equipment marking result;
the inspection equipment data storage module: and storing the data received by the acquisition module and the data generated by the marking module into a data storage module of the inspection equipment.
Further, the inspection route processing module includes:
the inspection route receiving module: video data transmitted back by each unmanned aerial vehicle are received, image data collected by the unmanned aerial vehicles are ordered, and then the image data are stored in a cloud server;
and a route inspection time module: receiving a patrol preset time range of each unmanned aerial vehicle, and establishing a matching relationship between the patrol preset time range of the unmanned aerial vehicle and influence data collected by the unmanned aerial vehicle;
and the routing inspection route node module is used for: and acquiring position data of the unmanned aerial vehicle in each time period according to the unmanned aerial vehicle inspection path and the unmanned aerial vehicle inspection preset time, acquiring the video data acquisition area of the unmanned aerial vehicle according to the inspection equipment information, and acquiring the coverage area of each node in each time range.
Further, the inspection data receiving module comprises;
and a cache module: temporarily storing the received data into a cache module, detecting the temporarily stored data of the cache module, and if invalid data is found, feeding information back to the unmanned aerial vehicle, and re-inspection the path by the unmanned aerial vehicle;
and a data ordering module: sequencing the collected data, and performing sequencing marking to establish an unmanned aerial vehicle data storage sequence;
and a data storage module: and storing data according to the unmanned aerial vehicle data storage sequence.
Further, the inspection early warning module comprises;
the early warning information analysis module: analyzing the inspection data analysis result, if the inspection data analysis result is inconsistent, generating early warning information, if the inspection data analysis result is consistent, not generating early warning information, and if the inspection data analysis result is suspected, generating an unmanned aerial vehicle re-inspection command and sending the command to the unmanned aerial vehicle for re-inspection.
In a second aspect, a wind power full-automatic inspection operation method includes;
the method comprises the steps of obtaining inspection equipment information, wherein the inspection equipment information comprises unmanned aerial vehicle models and unmanned aerial vehicle basic operation parameter data, marking inspection equipment and establishing inspection equipment serial number information to obtain inspection equipment unit operation basic data, and the unmanned aerial vehicle unit operation basic data comprise unmanned aerial vehicle numbers, unmanned aerial vehicle numbers and unmanned aerial vehicle operation parameters;
receiving routing data, matching a routing path with routing time to generate routing nodes, and matching the routing nodes with the unmanned aerial vehicle unit operation basic data to obtain unmanned aerial vehicle unit routing data;
receiving data acquired by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes, marking the data according to a receiving sequence, and storing a marking result to a cloud server according to the data receiving sequence;
carrying out graphic feature extraction on data collected by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes to obtain routing inspection feature data and historical image feature data of each node of the unmanned aerial vehicle, matching the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data, and comparing the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data to obtain routing inspection data analysis results;
and generating early warning information according to the inspection data analysis result and sending the early warning information to preset receiving end equipment.
The beneficial effects of the application are as follows: the application provides a photovoltaic power station inspection system and an operation method thereof, wherein inspection equipment information is obtained, the inspection equipment information comprises unmanned aerial vehicle type and unmanned aerial vehicle basic operation parameter data, inspection equipment is marked, inspection equipment serial number information is established, inspection equipment unit operation basic data is obtained, the unmanned aerial vehicle basic operation data comprises unmanned aerial vehicle number, unmanned aerial vehicle serial number and unmanned aerial vehicle operation parameter, inspection route data is received, inspection route and inspection time are matched, inspection nodes are generated, inspection nodes are matched with the unmanned aerial vehicle basic operation data, unmanned aerial vehicle inspection route data is obtained, data collected by an unmanned aerial vehicle in real time in the inspection route and inspection node historical image data are received, the data are marked according to a receiving sequence, image feature extraction is carried out on the data collected by the unmanned aerial vehicle in real time in the inspection route and the inspection node historical image data according to a data receiving sequence marking result, inspection feature data and historical image feature data of each node of the unmanned aerial vehicle are obtained, the inspection feature data and the inspection feature data of each node are matched with the unmanned aerial vehicle image feature data, and the inspection feature data is compared with the historical image feature data of each node. The unmanned aerial vehicle inspection system has the advantages that the unmanned aerial vehicle inspection system is capable of achieving synchronous inspection of multiple unmanned aerial vehicles of the unmanned aerial vehicle in a preset time range by acquiring the running condition of the unmanned aerial vehicle, obtaining the inspection result of the same area in the same time range, and increasing the effect of the visual range of the unmanned aerial vehicle inspection by means of re-matching the inspection path of the unmanned aerial vehicle.
Drawings
In order to more clearly illustrate the technical solution of the present application, the drawings that are needed in the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a schematic diagram of a photovoltaic power station inspection system according to an embodiment of the present application.
Fig. 2 is a schematic diagram of inspection of a prior art unmanned aerial vehicle in a photovoltaic power station inspection operation method according to an embodiment of the present application.
Fig. 3 is a schematic diagram of synchronous inspection of unmanned aerial vehicle units in a time range of t+1 in the inspection operation method of a photovoltaic power station provided by the embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
Referring to fig. 1, in a first aspect, the present application provides a photovoltaic power station inspection system, including;
inspection equipment marking module: the method comprises the steps of obtaining inspection equipment information, wherein the inspection equipment information comprises unmanned aerial vehicle models and unmanned aerial vehicle basic operation parameter data, marking inspection equipment and establishing inspection equipment serial number information to obtain inspection equipment unit operation basic data, and the unmanned aerial vehicle unit operation basic data comprise unmanned aerial vehicle numbers, unmanned aerial vehicle numbers and unmanned aerial vehicle operation parameters;
the unmanned aerial vehicle inspection line distribution method comprises the steps of marking and sorting unmanned aerial vehicle groups in advance, then obtaining operation parameters and electric quantity of each unmanned aerial vehicle to obtain basic information of the unmanned aerial vehicle groups, and distributing unmanned aerial vehicle inspection lines according to operation conditions of unmanned aerial vehicles in the unmanned aerial vehicle groups.
The inspection route processing module: receiving routing data, matching a routing path with routing time to generate routing nodes, and matching the routing nodes with the unmanned aerial vehicle unit operation basic data to obtain unmanned aerial vehicle unit routing data;
and receiving the inspection path and the inspection time set by the operator, after the inspection path corresponds to the time, obtaining the inspection range of the unmanned aerial vehicle through unmanned aerial vehicle parameters, obtaining the inspection range of the unmanned aerial vehicle in the same time through the inspection range of the unmanned aerial vehicle in the same time, matching the inspection blind areas of other unmanned aerial vehicles of the unmanned aerial vehicle in the same time period with the inspection task, and generating the final unmanned aerial vehicle inspection path.
And the patrol data receiving module is used for: receiving data acquired by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes, marking the data according to a receiving sequence, and storing a marking result to a cloud server according to the data receiving sequence;
and storing the acquired data and the historical inspection data of the unmanned aerial vehicle, and marking the acquired data and the historical inspection data for subsequent analysis and use of the inspection data.
And the inspection data analysis module: carrying out graphic feature extraction on data collected by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes to obtain routing inspection feature data and historical image feature data of each node of the unmanned aerial vehicle, matching the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data, and comparing the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data to obtain routing inspection data analysis results;
inspection early warning module: and generating early warning information according to the inspection data analysis result and sending the early warning information to preset receiving end equipment.
After the inspection is completed, the early warning analysis module analyzes the inspection result, and if the inspection data is found to have abnormal conditions, the inspection early warning information is generated and sent to the management terminal, wherein the terminal comprises a mobile terminal or a computer terminal and a remote upper computer terminal.
Specifically, the inspection equipment marking module comprises;
the acquisition module is used for: acquiring the number of the inspection equipment and basic parameter data of the inspection equipment, wherein the basic parameter data of the inspection equipment comprise the model number, the flight log data and the existing electric quantity of the inspection equipment;
and a marking module: marking the inspection equipment to obtain an inspection equipment marking result, and matching basic parameter data of the inspection equipment with the inspection equipment marking result;
the inspection equipment data storage module: and storing the data received by the acquisition module and the data generated by the marking module into a data storage module of the inspection equipment.
Specifically, the routing inspection route processing module includes:
the inspection route receiving module: video data transmitted back by each unmanned aerial vehicle are received, image data collected by the unmanned aerial vehicles are ordered, and then the image data are stored in a cloud server;
and a route inspection time module: receiving a patrol preset time range of each unmanned aerial vehicle, and establishing a matching relationship between the patrol preset time range of the unmanned aerial vehicle and influence data collected by the unmanned aerial vehicle;
and the routing inspection route node module is used for: and acquiring position data of the unmanned aerial vehicle in each time period according to the unmanned aerial vehicle inspection path and the unmanned aerial vehicle inspection preset time, acquiring the video data acquisition area of the unmanned aerial vehicle according to the inspection equipment information, and acquiring the coverage area of each node in each time range.
Specifically, the inspection data receiving module comprises;
and a cache module: temporarily storing the received data into a cache module, detecting the temporarily stored data of the cache module, and if invalid data is found, feeding information back to the unmanned aerial vehicle, and re-inspection the path by the unmanned aerial vehicle;
and a data ordering module: sequencing the collected data, and performing sequencing marking to establish an unmanned aerial vehicle data storage sequence;
and a data storage module: and storing data according to the unmanned aerial vehicle data storage sequence.
Specifically, the inspection early warning module comprises;
the early warning information analysis module: analyzing the inspection data analysis result, if the inspection data analysis result is inconsistent, generating early warning information, if the inspection data analysis result is consistent, not generating early warning information, and if the inspection data analysis result is suspected, generating an unmanned aerial vehicle re-inspection command and sending the command to the unmanned aerial vehicle for re-inspection.
In a second aspect, a wind power full-automatic inspection operation method includes;
the method comprises the steps of obtaining inspection equipment information, wherein the inspection equipment information comprises unmanned aerial vehicle models and unmanned aerial vehicle basic operation parameter data, marking inspection equipment and establishing inspection equipment serial number information to obtain inspection equipment unit operation basic data, and the unmanned aerial vehicle unit operation basic data comprise unmanned aerial vehicle numbers, unmanned aerial vehicle numbers and unmanned aerial vehicle operation parameters;
receiving routing data, matching a routing path with routing time to generate routing nodes, and matching the routing nodes with the unmanned aerial vehicle unit operation basic data to obtain unmanned aerial vehicle unit routing data;
receiving data acquired by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes, marking the data according to a receiving sequence, and storing a marking result to a cloud server according to the data receiving sequence;
carrying out graphic feature extraction on data collected by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes to obtain routing inspection feature data and historical image feature data of each node of the unmanned aerial vehicle, matching the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data, and comparing the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data to obtain routing inspection data analysis results;
and generating early warning information according to the inspection data analysis result and sending the early warning information to preset receiving end equipment.
According to the photovoltaic power station inspection system and the operation method thereof, the inspection equipment information is obtained, the inspection equipment information comprises the model number of the unmanned aerial vehicle and the basic operation parameter data of the unmanned aerial vehicle, the inspection equipment is marked and serial number information of the inspection equipment is built to obtain the operation basic data of the inspection equipment unit, the operation basic data of the unmanned aerial vehicle comprises the number of the unmanned aerial vehicle, the serial number of the unmanned aerial vehicle and the operation parameter of the unmanned aerial vehicle, the inspection route data is received, the inspection route is matched with the inspection time, the inspection nodes are generated, the inspection nodes are matched with the operation basic data of the unmanned aerial vehicle to obtain the inspection route data of the unmanned aerial vehicle, the data collected by the unmanned aerial vehicle in real time and the historical image data of the inspection nodes are received, the data are marked according to the receiving sequence, the marking result of the data is stored in a cloud server according to the data receiving sequence, the image characteristic extraction is carried out on the data collected by the unmanned aerial vehicle in real time of the inspection route and the historical image data of the inspection nodes, the characteristic data of each node of the unmanned aerial vehicle is obtained, the characteristic data of each node of the unmanned aerial vehicle is detected, the characteristic of each node of the inspection is matched with the characteristic data of the unmanned aerial vehicle is obtained, the characteristic data is compared with the image data of the historical image data of the unmanned aerial vehicle is analyzed, and the characteristic data is obtained according to the characteristic of the image data of each node is obtained, and the characteristic of the image data is compared with the historical data of the image data is obtained. According to the technical scheme, the unmanned aerial vehicle is subjected to marking sequencing in advance, then the operation parameters and the electric quantity of each unmanned aerial vehicle are obtained, after the inspection path and the inspection time set by an operator are received, the inspection range of the unmanned aerial vehicle is known through the unmanned aerial vehicle parameters after the inspection path and the time are corresponding, then the inspection blind area of the unmanned aerial vehicle in time is known through the inspection range of the unmanned aerial vehicle in the same time, the inspection blind areas of other unmanned aerial vehicles of the unmanned aerial vehicle in the same time period are matched with the inspection task to generate the final unmanned aerial vehicle inspection path, after the inspection is completed, an early warning analysis module analyzes the inspection result, and if abnormal conditions exist in the inspected data, inspection early warning information is generated and sent to a management terminal, so that the problem that maintenance staff cannot maintain the photovoltaic power station fault equipment in the first time due to the fact that the unmanned aerial vehicle is limited in the specified time range is solved.
It will be apparent to those skilled in the art that the techniques of embodiments of the present application may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present application may be embodied in essence or what contributes to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present application. The embodiments of the present application described above do not limit the scope of the present application.
Claims (6)
1. The photovoltaic power station inspection system is characterized by comprising;
inspection equipment marking module: the method comprises the steps of obtaining inspection equipment information, wherein the inspection equipment information comprises unmanned aerial vehicle models and unmanned aerial vehicle basic operation parameter data, marking inspection equipment and establishing inspection equipment serial number information to obtain inspection equipment unit operation basic data, and the unmanned aerial vehicle unit operation basic data comprise unmanned aerial vehicle numbers, unmanned aerial vehicle numbers and unmanned aerial vehicle operation parameters;
the inspection route processing module: receiving routing data, matching a routing path with routing time to generate routing nodes, and matching the routing nodes with the unmanned aerial vehicle unit operation basic data to obtain unmanned aerial vehicle unit routing data;
and the patrol data receiving module is used for: receiving data acquired by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes, marking the data according to a receiving sequence, and storing a marking result to a cloud server according to the data receiving sequence;
and the inspection data analysis module: carrying out graphic feature extraction on data collected by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes to obtain routing inspection feature data and historical image feature data of each node of the unmanned aerial vehicle, matching the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data, and comparing the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data to obtain routing inspection data analysis results;
inspection early warning module: and generating early warning information according to the inspection data analysis result and sending the early warning information to preset receiving end equipment.
2. The photovoltaic power plant inspection system of claim 1, wherein the inspection equipment marking module comprises;
the acquisition module is used for: acquiring the number of the inspection equipment and basic parameter data of the inspection equipment, wherein the basic parameter data of the inspection equipment comprise the model number, the flight log data and the existing electric quantity of the inspection equipment;
and a marking module: marking the inspection equipment to obtain an inspection equipment marking result, and matching basic parameter data of the inspection equipment with the inspection equipment marking result;
the inspection equipment data storage module: and storing the data received by the acquisition module and the data generated by the marking module into a data storage module of the inspection equipment.
3. The photovoltaic power plant inspection system of claim 1, wherein the inspection route processing module comprises:
the inspection route receiving module: video data transmitted back by each unmanned aerial vehicle are received, image data collected by the unmanned aerial vehicles are ordered, and then the image data are stored in a cloud server;
and a route inspection time module: receiving a patrol preset time range of each unmanned aerial vehicle, and establishing a matching relationship between the patrol preset time range of the unmanned aerial vehicle and influence data collected by the unmanned aerial vehicle;
and the routing inspection route node module is used for: and acquiring position data of the unmanned aerial vehicle in each time period according to the unmanned aerial vehicle inspection path and the unmanned aerial vehicle inspection preset time, acquiring the video data acquisition area of the unmanned aerial vehicle according to the inspection equipment information, and acquiring the coverage area of each node in each time range.
4. The photovoltaic power plant inspection system of claim 1, wherein the inspection data receiving module comprises;
and a cache module: temporarily storing the received data into a cache module, detecting the temporarily stored data of the cache module, and if invalid data is found, feeding information back to the unmanned aerial vehicle, and re-inspection the path by the unmanned aerial vehicle;
and a data ordering module: sequencing the collected data, and performing sequencing marking to establish an unmanned aerial vehicle data storage sequence;
and a data storage module: and storing data according to the unmanned aerial vehicle data storage sequence.
5. The photovoltaic power plant inspection system of claim 1, wherein the inspection early warning module comprises;
the early warning information analysis module: analyzing the inspection data analysis result, if the inspection data analysis result is inconsistent, generating early warning information, if the inspection data analysis result is consistent, not generating early warning information, and if the inspection data analysis result is suspected, generating an unmanned aerial vehicle re-inspection command and sending the command to the unmanned aerial vehicle for re-inspection.
6. The wind power full-automatic inspection operation method is characterized by comprising the following steps of;
the method comprises the steps of obtaining inspection equipment information, wherein the inspection equipment information comprises unmanned aerial vehicle models and unmanned aerial vehicle basic operation parameter data, marking inspection equipment and establishing inspection equipment serial number information to obtain inspection equipment unit operation basic data, and the unmanned aerial vehicle unit operation basic data comprise unmanned aerial vehicle numbers, unmanned aerial vehicle numbers and unmanned aerial vehicle operation parameters;
receiving routing data, matching a routing path with routing time to generate routing nodes, and matching the routing nodes with the unmanned aerial vehicle unit operation basic data to obtain unmanned aerial vehicle unit routing data;
receiving data acquired by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes, marking the data according to a receiving sequence, and storing a marking result to a cloud server according to the data receiving sequence;
carrying out graphic feature extraction on data collected by the unmanned aerial vehicle unit in real time on a routing inspection route and historical image data of routing inspection nodes to obtain routing inspection feature data and historical image feature data of each node of the unmanned aerial vehicle, matching the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data, and comparing the routing inspection feature data of each node of the unmanned aerial vehicle with the historical image feature data to obtain routing inspection data analysis results;
and generating early warning information according to the inspection data analysis result and sending the early warning information to preset receiving end equipment.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117236936A (en) * | 2023-11-11 | 2023-12-15 | 中节能（新泰）太阳能科技有限公司 | Unmanned aerial vehicle-based photovoltaic power station obstacle positioning method |
| CN117527621A (en) * | 2023-10-24 | 2024-02-06 | 深圳市龙电电器有限公司 | Visual distributed energy data acquisition method, system and storage medium |
-
2023
- 2023-05-19 CN CN202310566051.XA patent/CN116866512A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117527621A (en) * | 2023-10-24 | 2024-02-06 | 深圳市龙电电器有限公司 | Visual distributed energy data acquisition method, system and storage medium |
| CN117236936A (en) * | 2023-11-11 | 2023-12-15 | 中节能（新泰）太阳能科技有限公司 | Unmanned aerial vehicle-based photovoltaic power station obstacle positioning method |
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