CN-121995964-A - Photovoltaic cleaning equipment intelligent operation and maintenance system based on Internet of things

CN121995964ACN 121995964 ACN121995964 ACN 121995964ACN-121995964-A

Abstract

The application provides an intelligent operation and maintenance system of a photovoltaic cleaning device based on the Internet of things, which is characterized by collecting operation state data and operation environment data of the target photovoltaic cleaning device, calculating a fault occurrence probability value and an reachable operation distance of the target photovoltaic cleaning device based on the operation state data, carrying out operation and maintenance reachable analysis on the target photovoltaic cleaning device according to the fault occurrence probability value and the reachable operation distance to generate a reachable operation and maintenance area of the target photovoltaic cleaning device under the current operation working condition, screening out all candidate operation and maintenance points located in the reachable operation and maintenance area, identifying an optimal operation and maintenance target point according to the path complexity between the candidate operation and maintenance point and the current position of the target photovoltaic cleaning device and the service queue state of the candidate operation and maintenance point, and controlling the target photovoltaic cleaning device to go to the optimal operation and maintenance target point to execute preventive maintenance. According to the technical scheme provided by the application, the preventive maintenance of the photovoltaic cleaning equipment can be realized under the double constraint that the battery capacity is limited and the fault risk coexist.

Inventors

LIU HAORAN
ZHUO LINGJUN
CAI LEI
LI TONG
WANG QI
WANG LIANG

Assignees

山东天意机械股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260211

Claims (10)

1. The intelligent operation and maintenance system of the photovoltaic cleaning equipment based on the Internet of things is characterized by comprising the following steps: the acquisition module is used for acquiring the running state data and the running environment data of the target photovoltaic cleaning equipment through the Internet of things sensing unit deployed in the target photovoltaic cleaning equipment; The operation state analysis module is used for calculating a fault occurrence probability value of the target photovoltaic cleaning equipment under the current operation working condition and an reachable operation distance of the target photovoltaic cleaning equipment under the residual electric quantity based on the operation state data; The operation and maintenance accessibility analysis module is used for carrying out operation and maintenance accessibility analysis on the target photovoltaic cleaning equipment according to the fault occurrence probability value and the accessibility operation distance so as to generate an accessibility operation and maintenance area of the target photovoltaic cleaning equipment under the current operation working condition; The target identification module is used for screening all candidate operation and maintenance points located in the reachable operation and maintenance area from a preset operation and maintenance resource point position information library, and identifying an optimal operation and maintenance target point of the target photovoltaic cleaning equipment according to the path complexity between the candidate operation and maintenance points and the current position of the target photovoltaic cleaning equipment and the service queue state of the candidate operation and maintenance points; And the execution module is used for sending a cooperative scheduling instruction to the target photovoltaic cleaning equipment and the optimal operation and maintenance target point, and controlling the target photovoltaic cleaning equipment to go to the optimal operation and maintenance target point based on the cooperative scheduling instruction to execute preventive maintenance.
2. The intelligent operation and maintenance system of a photovoltaic cleaning device based on the internet of things according to claim 1, wherein calculating a fault occurrence probability value of a target photovoltaic cleaning device under a current operation condition and an achievable operation distance of the target photovoltaic cleaning device under a residual electric quantity based on the operation state data specifically comprises: carrying out normalization pretreatment on the running state data to obtain pretreated running state data; extracting fault characteristic parameters and battery residual capacity of the target photovoltaic cleaning equipment from the preprocessed running state data; determining a fault occurrence probability value of the target photovoltaic cleaning equipment under the current operation working condition based on the fault characteristic parameters and a pre-trained fault probability prediction model; and identifying the reachable operation distance of the target photovoltaic cleaning equipment operated under the residual electric quantity according to the residual electric quantity of the battery and the energy consumption model of the target photovoltaic cleaning equipment under the current operation working condition.
3. The intelligent operation and maintenance system of the photovoltaic cleaning equipment based on the internet of things according to claim 2, wherein determining the fault occurrence probability value of the target photovoltaic cleaning equipment under the current operation condition based on the fault characteristic parameter and the pre-trained fault probability prediction model specifically comprises: obtaining a pre-trained fault probability prediction model; and taking the fault characteristic parameter as an input parameter to input the fault probability prediction model, and outputting a fault occurrence probability value of the target photovoltaic cleaning equipment under the current operation working condition by the fault probability prediction model.
4. The intelligent operation and maintenance system of a photovoltaic cleaning device based on the internet of things according to claim 2, wherein the identifying the reachable operation distance of the target photovoltaic cleaning device under the residual electric quantity according to the residual electric quantity of the battery and the energy consumption model under the current operation condition of the target photovoltaic cleaning device specifically comprises: Calculating to obtain the unit distance energy consumption of the target photovoltaic cleaning equipment according to the energy consumption model of the target photovoltaic cleaning equipment under the current operation condition; And determining the reachable operation distance of the target photovoltaic cleaning equipment operated under the residual electric quantity according to the residual electric quantity of the battery and the energy consumption per unit distance.
5. The intelligent operation and maintenance system of a photovoltaic cleaning device based on the internet of things according to claim 1, wherein the operation and maintenance accessibility analysis is performed on the target photovoltaic cleaning device according to the fault occurrence probability value and the accessibility operation distance, and further the generation of the accessibility operation and maintenance area of the target photovoltaic cleaning device under the current operation condition specifically comprises: comparing and analyzing the fault occurrence probability value with a preset fault early-warning probability threshold value, and further determining the fault risk level of the target photovoltaic cleaning equipment; obtaining geographic information data of a photovoltaic field where the target photovoltaic cleaning equipment is located, and constructing a maximum operation space range of the target photovoltaic cleaning equipment by taking the current position as a circle center according to the geographic information data and the reachable operation distance; performing risk constraint modulation on the maximum operation space range according to the fault risk level, and further obtaining a candidate space region meeting fault handling priority; and carrying out pass feasibility verification on the candidate space region to generate an reachable operation and maintenance region of the target photovoltaic cleaning equipment under the current operation working condition.
6. The intelligent operation and maintenance system of a photovoltaic cleaning device based on the internet of things according to claim 1, wherein the screening all candidate operation and maintenance points located in the reachable operation and maintenance area from a preset operation and maintenance resource point location information library specifically comprises: acquiring a preset operation and maintenance resource point position information library, and acquiring geographic coordinate data of all operation and maintenance resource points from the operation and maintenance resource point position information library; Extracting a geographic boundary coordinate set of the reachable operation and maintenance area; adopting a spatial position matching algorithm to carry out spatial attribution judgment on the geographic coordinate data of each operation and maintenance resource point and the geographic boundary coordinate set of the reachable operation and maintenance area; and screening out the operation and maintenance resource points which are located in the reachable operation and maintenance area as candidate operation and maintenance points according to the space attribution judgment result.
7. The intelligent operation and maintenance system of a photovoltaic cleaning device based on the internet of things according to claim 1, wherein identifying an optimal operation and maintenance target point of the target photovoltaic cleaning device according to the path complexity between the candidate operation and maintenance point and the current position of the target photovoltaic cleaning device and the service queue state of the candidate operation and maintenance point comprises: Calculating the path complexity between each candidate operation and maintenance point and the current position of the target photovoltaic cleaning equipment based on the geographic information data of the photovoltaic field where the target photovoltaic cleaning equipment is located; acquiring the service queue state of each candidate operation and maintenance point, and generating the service queue congestion index of each candidate operation and maintenance point; Constructing a weighted evaluation model of path complexity and service queue congestion index, substituting the path complexity and service queue congestion index of each candidate operation and maintenance point into the weighted evaluation model to calculate operation and maintenance confidence scores, and obtaining the operation and maintenance confidence scores of each candidate operation and maintenance point; And performing descending order sorting on the operation and maintenance scores of all the candidate operation and maintenance points, and selecting the candidate operation and maintenance point with the highest operation and maintenance score as the optimal operation and maintenance target point of the target photovoltaic cleaning equipment.
8. The intelligent operation and maintenance system of a photovoltaic cleaning device based on the internet of things according to claim 1, wherein sending a cooperative scheduling instruction to the target photovoltaic cleaning device and the optimal operation and maintenance target point specifically comprises: Acquiring resource configuration data of the current position of the target photovoltaic cleaning equipment and an optimal operation and maintenance target point; Generating a cooperative scheduling instruction containing equipment navigation paths and operation and maintenance resource preparation requirements based on the current position of the target photovoltaic cleaning equipment and the resource configuration data of the optimal operation and maintenance target point; And identifying cloud communication interfaces of an edge communication module and an optimal operation and maintenance target point of the target photovoltaic cleaning equipment, and respectively sending a cooperative scheduling instruction to the target photovoltaic cleaning equipment and the optimal operation and maintenance target point through the edge communication module and the cloud communication interfaces.
9. The intelligent operation and maintenance system of a photovoltaic cleaning device based on the internet of things according to claim 1, wherein controlling the target photovoltaic cleaning device to go to the optimal operation and maintenance target point based on the cooperative scheduling instruction specifically comprises: The target photovoltaic cleaning equipment receives the cooperative scheduling instruction through an edge communication module and extracts a navigation path and an operation and maintenance resource preparation requirement in the cooperative scheduling instruction; And controlling the target photovoltaic cleaning equipment to move towards the optimal operation and maintenance target point according to the navigation path, and starting preset preventive maintenance operation according to the operation and maintenance resource preparation requirement after the target photovoltaic cleaning equipment reaches the optimal operation and maintenance target point.
10. The intelligent operation and maintenance system of the photovoltaic cleaning equipment based on the internet of things according to claim 1, wherein the sensing unit of the internet of things collects operation state data and operation environment data of the target photovoltaic cleaning equipment at a fixed sampling frequency.

Description

Photovoltaic cleaning equipment intelligent operation and maintenance system based on Internet of things Technical Field The application relates to the technical field of equipment operation and maintenance, in particular to an intelligent operation and maintenance system of photovoltaic cleaning equipment based on the Internet of things. Background Under the advanced development of intelligent manufacturing, production equipment increasingly evolves to large-scale, accurate and intelligent, equipment stable operation becomes the core element of enterprise productivity guarantee, cost control, traditional operation and maintenance modes depending on manual inspection and post maintenance have pain points such as response lag, failure prejudgement deficiency, high operation and maintenance cost and the like, and the continuity requirement of modern production is difficult to adapt, along with the development of the Internet of things, sensors, artificial intelligence and big data analysis technology, equipment operation and maintenance is changing from passive repair to predictive maintenance, and the accurate configuration of operation and maintenance resources is realized. In the operation and maintenance of the existing equipment, the operation and maintenance of the existing equipment firstly collect the operation parameters of the equipment through a sensor, compare a preset threshold value with historical reference data, evaluate the health state of the equipment, identify an abnormal source through a fault diagnosis model, distinguish potential faults from faults, formulate a targeted operation and maintenance strategy and finally execute operation and maintenance operation, however, in the intelligent operation and maintenance of the photovoltaic cleaning equipment, the operation and maintenance of the traditional photovoltaic cleaning equipment are mostly based on a fixed period or passive response after fault alarming, and the joint perception and decision capability of the real-time health decline trend and the residual endurance capability of the equipment are lacking, so that decision conflicts exist between preventive maintenance time and space accessibility caused by dynamic changes of working conditions and environments in the operation and maintenance of the traditional photovoltaic cleaning equipment, and further, the operation and maintenance resource consumption is caused in the operation and maintenance of the photovoltaic cleaning equipment is realized under the double constraint that the battery power is limited and the fault risk coexist, so that the preventive maintenance of the photovoltaic cleaning equipment becomes a difficult problem faced by the industry. Disclosure of Invention The application provides an intelligent operation and maintenance system of photovoltaic cleaning equipment based on the Internet of things, which can realize preventive maintenance of the photovoltaic cleaning equipment under the double constraint of limited battery capacity and concurrent fault risk. The application provides an intelligent operation and maintenance system of photovoltaic cleaning equipment based on the Internet of things, which comprises the following steps: the acquisition module is used for acquiring the running state data and the running environment data of the target photovoltaic cleaning equipment through the Internet of things sensing unit deployed in the target photovoltaic cleaning equipment; The operation state analysis module is used for calculating a fault occurrence probability value of the target photovoltaic cleaning equipment under the current operation working condition and an reachable operation distance of the target photovoltaic cleaning equipment under the residual electric quantity based on the operation state data; The operation and maintenance accessibility analysis module is used for carrying out operation and maintenance accessibility analysis on the target photovoltaic cleaning equipment according to the fault occurrence probability value and the accessibility operation distance so as to generate an accessibility operation and maintenance area of the target photovoltaic cleaning equipment under the current operation working condition; The target identification module is used for screening all candidate operation and maintenance points located in the reachable operation and maintenance area from a preset operation and maintenance resource point position information library, and identifying an optimal operation and maintenance target point of the target photovoltaic cleaning equipment according to the path complexity between the candidate operation and maintenance points and the current position of the target photovoltaic cleaning equipment and the service queue state of the candidate operation and maintenance points; And the execution module is used for sending a cooperative scheduling instruction to the target photovoltaic cleaning equipment and the optimal op