Photovoltaic power station intelligent management and control platform and system based on Internet of Things

Abstract

The invention provides a photovoltaic power station intelligent management and control platform and system based on the Internet of Things, and belongs to the technical field of photovoltaic intelligent manufacturing, and the platform comprises a display system which is used for carrying out the visual operation and displaying the state information of a photovoltaic power station; the intelligent operation and maintenance management system is used for monitoring the operation state of photovoltaic equipment, analyzing photovoltaic power generation data based on a fault diagnosis model, preliminarily judging the target position of a fault photovoltaic module, and linking an unmanned aerial vehicle inspection terminal in a photovoltaic power station to obtain fault alarm and positioning information. Performing fault identification and fault feature analysis on the fault image based on a convolutional neural network to finally determine a target position of the fault photovoltaic module; the intelligent public management system is used for personnel management, plant station equipment asset management, photovoltaic power station management and health degree evaluation; the intelligent operation management system is used for intelligent work order management, KPI management and intelligent report management. According to the scheme, the intelligent management and control level of the photovoltaic power station can be improved.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic intelligent manufacturing technology, and specifically to an intelligent management and control platform and system for photovoltaic power stations based on the Internet of Things. Background Art

[0002] At present, photovoltaic power stations generate a large amount of operating data. The data collection, classification statistics, processing calculation and analysis process, as well as the on-site testing of photovoltaic power stations, are subject to the limitations of the management and control platform system and personnel, and the huge installed capacity cannot be managed in a refined manner. In the traditional photovoltaic power system that lacks information-based overall management, the existing problems are manifested in: difficulty in equipment data collection and transmission, difficulty in troubleshooting and maintenance, difficulty in status control and statistical analysis, and lack of refined operation methods such as power station status assessment and optical power prediction.

[0003] However, the current "smart photovoltaic solutions" in the industry and on the market generally only focus on the collection of power station production data, while in-depth data analysis, diagnosis and analysis and evaluation are still relatively superficial. In addition, the existing photovoltaic intelligent technology has not yet formed a standardized unified model, and the degree of improvement in the intelligent management and control level of photovoltaic power stations is limited.

[0004] Therefore, how to improve the level of intelligent management and control of photovoltaic power stations has become a problem to be solved. Summary of the invention

[0005] The purpose of this application is to provide a photovoltaic power station intelligent management and control platform and system based on the Internet of Things, which can solve the problem of limited improvement in the level of intelligent management and control of photovoltaic power stations in the prior art.

[0006] In a first aspect, an embodiment of the present application provides an intelligent management and control platform for photovoltaic power stations based on the Internet of Things, the platform comprising: a display system, an intelligent operation and maintenance management system, an intelligent public management system, and an intelligent operation management system; Display system, used for visual operation and display of PV power station status information; Intelligent operation and maintenance management system, used to monitor the operating status of photovoltaic equipment, collect photovoltaic power generation data, analyze photovoltaic power generation data based on the fault diagnosis model in the information-based fault diagnosis mode, preliminarily determine the target location of the faulty photovoltaic component, locate and mark the target location, link the drone inspection terminal in the photovoltaic power station to obtain fault alarm and positioning information, collect fault images at the target location, identify faults on the fault images based on convolutional neural networks, and analyze the identified fault features to ultimately determine the target location of the faulty photovoltaic component; Intelligent public management system for personnel management, plant equipment asset management, photovoltaic power station management and health evaluation; Intelligent operation management system, used for intelligent work order management, KPI management and intelligent report management.

[0007] In a possible implementation of the first aspect, the display system includes: a 3D visualization digital twin interface and a power plant status display unit; The 3D visual digital twin interface is used for equipment modeling, power station boundary depiction, chart switching, area division, perspective reset, power station point roaming, information display and equipment search; the power station status display unit is used to display power station information, power consumption statistics, fault abnormality statistics, social contribution, asset management and power station income.

[0008] In a possible implementation of the first aspect, the equipment modeling includes: using a three-dimensional map modeling algorithm to perform information adjustment on a map software for a real-life model obtained according to the construction situation of a power station; loading the real-life model after the information adjustment onto a three-dimensional map based on a geographic spatial data visualization rendering engine; instantiating equipment types, equipment distribution, and power station entity objects of the real-life model on the three-dimensional map, and performing event binding on the instantiated entities; The power station boundary depiction includes: depicting the power station boundary by 3D modeling to display the photovoltaic power generation data in 3D real scene; chart switching includes: switching the power station operation report to be viewed to obtain the power station operation data in the operation report in real time; area division includes: dividing the photovoltaic area of ​​the photovoltaic power station based on the map software, dividing the range of the photovoltaic array according to the number of photovoltaic arrays and photovoltaic equipment, determining the boundary of the photovoltaic array, and selecting the color of the photovoltaic array displayed on the three-dimensional map; Roaming around the power station includes: responding to the user's visual operations in the real-life model on the three-dimensional map based on the map software; resetting the perspective includes: resetting to the initial fixed perspective with one click based on roaming around the power station; information display includes: building a nested data structure and providing the operation and maintenance personnel with the positioning information of the target location; wherein the data structure includes: the operating status data and coordinate information of the photovoltaic equipment; equipment search includes: searching for the equipment information and location information to be queried, and moving the equipment information and location information to the equipment location to be viewed based on the roaming method.

[0009] In a possible implementation of the first aspect, displaying power station information includes: real-time display of the operating status, equipment information, environmental parameters, and management data of the photovoltaic power station; power statistics include: real-time data and historical data of power generation of the photovoltaic power station; fault abnormality statistics include: classified, statistical, and analyzed fault abnormality information, where the fault abnormality information is various types of fault information and abnormality information occurring during the operation of the power station collected in real time by the monitoring system and the fault alarm system; Demonstration of social contribution includes: converting the emission reduction effect of photovoltaic power stations into equivalent tree planting, demonstrating the contribution of photovoltaic power stations to improving environmental quality with equivalent tree planting, and the emission reduction effect is reflected by the greenhouse gas emissions reduced by photovoltaic power station power generation and the fossil energy saved by photovoltaic power station operation; asset management includes: comprehensive monitoring, data analysis, optimal configuration and maintenance management of photovoltaic power station assets; power station income includes: current power generation, grid-connected power, grid-connected electricity price and real-time income amount.

[0010] In a possible implementation of the first aspect, monitoring the operating status of the photovoltaic equipment includes: inverter monitoring, box transformer monitoring, and electric meter monitoring; Analyze photovoltaic power generation data based on the fault diagnosis model in the information-based fault diagnosis mode, including: power station power generation monitoring, power station power generation statistics, data query, data statistics and data comparison of real-time data and historical data, and inverter analysis; After analyzing the identified fault characteristics, the intelligent operation and maintenance management system is also used to: The information-based fault diagnosis results and image-based fault recognition results are interactively verified, and the fault diagnosis database of the intelligent operation and maintenance management system is synchronously and iteratively optimized; wherein the information-based fault diagnosis result is the target location of the faulty PV module, and the image-based fault recognition result is the result of fault recognition of the faulty image, and the fault diagnosis database contains fault diagnosis information; the fault diagnosis information is reported to the terminal of the intelligent operation and maintenance management system, and the operation and maintenance management tasks are issued; a fault diagnosis report is generated, and the fault diagnosis information is displayed in real time on the display system.

[0011] In a possible implementation of the first aspect, inverter monitoring includes: monitoring the operating status of the inverter, querying the power station to which the inverter belongs, and querying the photovoltaic array to which the inverter belongs; box transformer monitoring includes: monitoring the operating status of the box transformer, querying the power station to which the box transformer belongs, and querying the photovoltaic array to which the box transformer belongs; meter monitoring includes: monitoring the operating status of the meter, and querying the power station to which the meter belongs; Data query includes: data query of real-time data and historical data, query of lost power generation and display of irradiation curve; inverter analysis includes: analysis of inverter discrete rate and query of abnormal inverter operation time; data statistics include: statistics of equipment power generation, statistics of lost power generation and statistics of power station power generation by year and month; data comparison includes: vertical grading energy efficiency analysis and comparison of inverter power generation.

[0012] In a possible implementation of the first aspect, the intelligent operation and maintenance management system is also used for: weather and power generation forecasting, intelligent inspection and fault diagnosis, component cleaning management, plant and station intelligent security, and drone management.

[0013] In a possible implementation of the first aspect, meteorological and power generation forecasting includes: environmental monitoring, power generation index completion statistics and optical power forecasting; intelligent inspection and fault diagnosis includes: inspection plan and fault alarm; component cleaning management includes: cleaning management and dust detection SR; Intelligent security of power plants and stations includes: video surveillance and security monitoring; drone management includes: displaying quantity information on the homepage of photovoltaic power station data, performing display, creation and viewing operations on the power station map, reviewing and eliminating defects, remote inspections, user management, flight management, generating inspection plans and determining inspection tasks.

[0014] In a possible implementation of the first aspect, environmental monitoring includes: monitoring environmental conditions, querying the power station to which it belongs; statistics on the completion of power generation indicators include: statistics on the completion of power generation indicators, querying the power station to which it belongs, the type of equipment queried and the query time; optical power prediction includes: predicting optical power, querying the power station to which it belongs, and querying the start and end time; inspection plan includes: planning the inspection process, querying the power station to which it belongs, the type of inspection equipment and the inspection time; fault alarm includes: alarming the fault of photovoltaic components, querying the power station to which it belongs, the type of equipment, the number of fault alarms and the fault rate; Cleaning management includes: management of cleaning plan and time, cleaning progress and status, and query of power station; dust detection SR includes: monitoring of dust on photovoltaic modules, query of power station, query of detection start and end time; video monitoring includes: monitoring of personnel working status and equipment operating status, and query of power station; security monitoring includes: video monitoring of the surrounding environment of photovoltaic power station, and query of power station.

[0015] In a possible implementation of the first aspect, displaying the quantity information on the photovoltaic power station data homepage includes: displaying the cumulative number of photovoltaic modules inspected by the photovoltaic power station drone, the cumulative number of defects eliminated in the photovoltaic modules, the defect quantity trend within a preset period, the proportion of each defect in the total defects, and a panoramic view of the power station taken by the drone on the photovoltaic power station data homepage, where the panoramic view of the power station is used to display the inspection area of ​​the drone; The display, creation and viewing operations performed on the power station map include: displaying the name of the PV power station, the name of the parent provincial company, the installed capacity, the grid-connected time and the address of the PV power station on the power station map, creating the drone inspection area of ​​the PV power station, and viewing the 2D orthophoto panorama taken by the drone; the inspection area supports custom names, the number of PV modules and the duration of drone use, as well as setting parameters for analysis. The inspection area is the minimum range of a single drone inspection; The review and defect elimination includes: in response to the operation of the operation and maintenance personnel using the intelligent operation and maintenance APP to guide to the defect location when the intelligent operation and maintenance management system is offline, the review and defect elimination is carried out to obtain the defect elimination result; or, the defect elimination result is uploaded to the intelligent operation and maintenance management system using pictures taken by a third-party device; wherein the defect result of the photovoltaic module is synchronized with the intelligent operation and maintenance APP, the defect elimination result is saved in the intelligent operation and maintenance APP when the intelligent operation and maintenance management system is offline, and the defect elimination result is synchronized with the intelligent operation and maintenance management system when the intelligent operation and maintenance management system is online; Remote inspection includes: non-contact inspection and monitoring of target inspection areas or target equipment based on drone remote monitoring equipment; user management includes: identity authentication of users and allocation of different operation permissions according to user roles and responsibilities; flight management includes: management of route planning, airspace, flight time and flight ranking; Generating inspection plans includes: generating inspection plans for immediate inspection, smart inspection, scheduled inspection and periodic inspection; determining inspection tasks includes: determining inspection airports, inspection times and areas, querying inspection equipment status, inspection plan completion status and inspection reports.

[0016] In a possible implementation of the first aspect, the immediate inspection includes: immediately initiating a drone inspection of the photovoltaic components, and the drone takes off within a preset time after the immediate inspection command is issued; the smart inspection includes: determining a preset inspection time range, preset inspection conditions, and a preset charging power, and the drone in the inspection airport automatically executes the route flight when the preset inspection conditions are met within the preset inspection time range; Scheduled inspection includes: determining the preset inspection time according to user needs, and the UAV executes the route flight when the preset inspection time is reached; periodic inspection includes: determining the preset inspection cycle, automatically generating an inspection plan at the time corresponding to the scheduled inspection within the preset inspection cycle, and automatically executing the inspection task.

[0017] In a possible implementation of the first aspect, personnel management includes: user management, role management and organizational structure management; plant equipment asset management includes: equipment inventory management, spare parts management and tool management; power station management includes: power station list management, contract management and work order management; health assessment includes: health inspection and generation of inspection report.

[0018] In a possible implementation of the first aspect, user management includes: management of user names, work numbers and contact information, and query of power stations to which they belong; role management includes: management of role names and permissions; organizational structure management includes: management of the organizational structure of the power station, and query of power stations to which they belong and power station status; tool management includes: basic information management, tool inventory, warehousing management, outbound management and safety tool inspection; work order management includes: work order submission and work order processing.

[0019] In a possible implementation of the first aspect, intelligent work order management includes: work order submission and work order processing; KPI management includes: comprehensive evaluation, management of equipment operation indicators, power generation indicators and solar energy resource indicators; intelligent report management includes: management of daily operation reports, weekly operation reports, monthly operation reports, monthly report filling instructions, annual operation reports and contractual planned power generation.

[0020] In a possible implementation of the first aspect, work order submission includes: submitting the work order, querying the power plant name, work order and equipment type, and issuance time; work order processing includes: processing the work order, querying the power plant name, processor, processing time, and work order process status.

[0021] In a second aspect, an embodiment of the present application provides an intelligent management and control system for photovoltaic power stations based on the Internet of Things, the system comprising: photovoltaic power generation equipment, environmental and meteorological monitoring equipment, drone inspection and auxiliary monitoring equipment, multiple data acquisition terminals, multiple data transmission base stations, a main switch, a plant-level control center server, and any one of the photovoltaic power station intelligent management and control platforms based on the Internet of Things in the first aspect; Photovoltaic power generation equipment, used to generate voltage signals, current signals and frequency signals; Environmental and meteorological monitoring equipment to monitor the temperature, humidity, light intensity, wind speed and direction of the photovoltaic power station; UAV inspection and auxiliary monitoring equipment, used to transmit UAV video, monitoring video and status signals of photovoltaic equipment; The first data acquisition terminal is used to collect voltage signals, current signals and frequency signals; the second data acquisition terminal is used to collect temperature, humidity, light intensity, wind speed and wind direction of the photovoltaic power station; the third data acquisition terminal is used to receive drone videos, monitoring videos and status signals of photovoltaic equipment; Each data transmission base station is used to transmit the photovoltaic power generation data collected by each data collection terminal to the main switch; The main switch is used to transmit the photovoltaic power generation data transmitted by each data transmission base station to the plant-level control center server; The plant-level control center server is used to receive the photovoltaic power generation data transmitted by the main switch and analyze the photovoltaic power generation data based on the data analysis model and algorithm; the photovoltaic power generation data is stored in the database system, and the database system is configured in the plant-level control center server; Photovoltaic power station intelligent management and control platform, used for real-time monitoring of photovoltaic equipment status, storage of historical data, power generation prediction, status evaluation, fault diagnosis, intelligent inspection, component cleaning management, benefit evaluation, operation and maintenance management, and report management; Among them, photovoltaic power generation equipment, environmental and meteorological monitoring equipment, drone inspection and auxiliary monitoring equipment are configured in the perception layer, various data collection terminals, various data transmission base stations and main switches are configured in the transmission layer, the plant-level control center server is configured in the support layer, and the photovoltaic power station intelligent control platform is configured in the application layer.

[0022] In a possible implementation of the second aspect, the main switch is connected to the optical power meteorological prediction module and the firewall, the firewall is connected to the router, and the router is connected to the regional company-level management and control platform; The optical power meteorological forecast module is used to obtain optical power data based on optical power forecast, and to obtain meteorological data based on meteorological forecast. The main switch is also used to transmit optical power data and meteorological data to the plant-level control center server.

[0023] In a possible implementation of the second aspect, the data analysis model includes: an equipment status analysis model, a component fault diagnosis model, a power generation prediction model, and a safety management and control model; The equipment status analysis model is used to analyze the status of photovoltaic equipment; the component fault diagnosis model is used to diagnose the faults of photovoltaic components; the power generation prediction model is used to predict the power generation of photovoltaic power stations; the safety management and control model is used to perform safety management and control of photovoltaic power stations.

[0024] In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the functions of the intelligent management and control platform for photovoltaic power stations based on the Internet of Things of any one of the above-mentioned first aspects are implemented.

[0025] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the functions of the photovoltaic power station intelligent management and control platform based on the Internet of Things in any one of the above-mentioned first aspects.

[0026] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the functions of the photovoltaic power station intelligent management and control platform based on the Internet of Things in any one of the above-mentioned first aspects.

[0027] In the solution of the present application, the display system is used for visual operation and display of photovoltaic power station status information. The intelligent operation and maintenance management system preliminarily determines the target location of the faulty photovoltaic component by analyzing the photovoltaic power generation data, performs fault identification and fault feature analysis on the fault image, and finally determines the target location of the faulty photovoltaic component. The intelligent public management system is used for personnel management, plant equipment asset management, photovoltaic power station management and health evaluation. The intelligent operation management system is used for intelligent work order management, KPI management and intelligent report management.

[0028] This application scheme builds a unified intelligent management and control platform based on the Internet of Things technology, in which various types of systems collaborate with each other. It can improve the level of intelligent management and control of photovoltaic power stations, and can accurately locate faulty photovoltaic components, so that operation and maintenance personnel can quickly and accurately find faulty photovoltaic components and repair them. It can also realize intelligent public management and operation management, and has strong ease of use and practicality.

[0029] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative labor.

[0031] Figure 1 This is a schematic diagram of the overall architecture of an intelligent management and control platform for photovoltaic power stations based on the Internet of Things provided in an embodiment of the present application; Figure 2 It is a schematic diagram of the specific architecture of the photovoltaic power station intelligent management and control platform based on the Internet of Things provided in the embodiment of the present application; Figure 3 This is a schematic diagram of the architecture of an intelligent management and control system for photovoltaic power stations based on the Internet of Things provided in an embodiment of the present application; Figure 4 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and systems are omitted to prevent unnecessary details from obstructing the description of the present application.

[0033] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or photovoltaic components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, photovoltaic components and / or combinations thereof.

[0034] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0035] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0036] As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0037] In addition, in the description of the present application, the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0038] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0039] The photovoltaic power generation industry as a whole has an increasingly urgent need for efficient management, optimized output, and improved efficiency. Modern information technologies such as the Internet of Things will become an important driving force for promoting the digital transformation and intelligent upgrading of traditional photovoltaic power stations, achieving cost reduction and efficiency improvement, and building a green and low-carbon energy system.

[0040] At present, photovoltaic power stations generate a large amount of operating data. The data collection, classification statistics, processing calculation and analysis process, as well as the on-site testing of photovoltaic power stations, are subject to the limitations of the management and control platform system and personnel, and the huge installed capacity cannot be managed in a refined manner. In the traditional photovoltaic power system that lacks information-based overall management, the existing problems are manifested in: difficulty in equipment data collection and transmission, difficulty in troubleshooting and maintenance, difficulty in status control and statistical analysis, and lack of refined operation methods such as power station status assessment and optical power prediction.

[0041] However, the "smart photovoltaic solutions" currently available in the industry and on the market generally still only focus on the collection of power station production data, while in-depth data analysis, diagnosis and analysis and evaluation are still relatively superficial. In addition, due to the lack of actual photovoltaic power station operation and management experience, the real needs of power station users in production and management have not been fully grasped, resulting in the current failure to fully play the guidance and role of big data in photovoltaic operation and maintenance.

[0042] In addition, the existing photovoltaic intelligent technology has not yet formed a standardized unified model. Various types of systems have not built a unified whole based on the Internet of Things technology to cooperate with each other. Often, multiple systems are installed in a power station, and they are independent of each other, which has limited improvement in the intelligent control level of the power station. Therefore, there is still a lot of room for improvement in the digital construction of photovoltaic power stations, and it still needs to be explored and improved.

[0043] In response to the above-mentioned defects, the embodiment of the present application provides an intelligent management and control platform for photovoltaic power stations based on the Internet of Things, in which the display system is used to visualize the operation and display of photovoltaic power station status information. The intelligent operation and maintenance management system preliminarily determines the target location of the faulty photovoltaic component by analyzing the photovoltaic power generation data, performs fault identification and fault feature analysis on the fault image, and finally determines the target location of the faulty photovoltaic component. The intelligent public management system is used for personnel management, plant equipment asset management, photovoltaic power station management and health evaluation. The intelligent operation management system is used for intelligent work order management, KPI management and intelligent report management.

[0044] This application scheme builds a unified intelligent management and control platform based on the Internet of Things technology, in which various types of systems collaborate with each other. It can improve the level of intelligent management and control of photovoltaic power stations, and can accurately locate faulty photovoltaic components, so that operation and maintenance personnel can quickly and accurately find faulty photovoltaic components and repair them. It can also realize intelligent public management and operation management, and has strong ease of use and practicality.

[0045] The specific process implemented by this application is introduced below through specific embodiments.

[0046] See also Figure 1 , Figure 1Schematic diagram of the overall architecture of the photovoltaic power station intelligent management and control platform based on the Internet of Things provided in the embodiment of the present application. Figure 1 As shown, the platform includes: a display system, an intelligent operation and maintenance management system, an intelligent public management system and an intelligent operation management system.

[0047] In some embodiments, the display system is used to visualize the operation and display of photovoltaic power station status information, the intelligent public management system is used for personnel management, plant equipment asset management, photovoltaic power station management and health evaluation, and the intelligent operation management system is used for intelligent work order management, KPI (Key Performance Indicator) management and intelligent report management.

[0048] In some embodiments, the intelligent operation and maintenance management system is used to monitor the operating status of photovoltaic equipment (inverters, box transformers, electric meters and other equipment) and collect photovoltaic power generation data of photovoltaic equipment. Photovoltaic power generation data is analyzed based on the fault diagnosis model in the information-based fault diagnosis mode, and the target location of the faulty photovoltaic component (problem photovoltaic component) is preliminarily determined, and the target location is located and marked. The drone inspection terminal in the photovoltaic power station is linked to obtain fault alarm and positioning information. The drone automatically flies to the fault area and automatically collects fault images (such as infrared thermal imaging and visible light images) at the target location. The convolutional neural network is then used to identify the fault image through the IoT terminal, and the identified fault features are analyzed to finally determine the target location of the faulty photovoltaic component.

[0049] See also Figure 2 , Figure 2 Schematic diagram of the specific architecture of the photovoltaic power station intelligent management and control platform based on the Internet of Things provided in the embodiment of the present application. Figure 2 As shown, the display system (large screen on the home page) includes: a 3D visualization digital twin interface and a power plant status display unit.

[0050] In some embodiments, the 3D visual digital twin interface is used for equipment modeling, power plant boundary depiction, chart switching, area division, resetting perspective, power plant point roaming, information display and equipment search. The power plant status display unit is used to display power plant information, power statistics, fault abnormality statistics, social contribution, asset management and power plant revenue.

[0051] In some embodiments, equipment modeling includes: using a three-dimensional map modeling algorithm to adjust the information of a real-life model (virtual power station) obtained according to the power station construction situation on a map software. Based on a geospatial data visualization rendering engine, the real-life model after information adjustment is loaded onto a three-dimensional map. The equipment types, equipment distribution, and power station entity objects of the real-life model on the three-dimensional map are instantiated, and event binding is performed on the instantiated entities.

[0052] The map software can be a GIS (Geographic Information System) map. Information adjustment includes: adjusting the zoom ratio, height, and rotation angle. When the user clicks on the corresponding entity, the 3D visualized digital twin interface can display relevant data such as equipment information, power generation, and operating status of the photovoltaic equipment.

[0053] In some embodiments, the power station boundary characterization includes: using 3D modeling to characterize the power station boundary to display the photovoltaic power generation data in 3D real scene. Chart switching includes: the power station operation report to be viewed can be freely switched to obtain the power station operation data in the operation report in real time and efficiently. Area division includes: dividing the photovoltaic area of ​​the photovoltaic power station based on the map software, dividing the range of the photovoltaic array according to the number of photovoltaic arrays (i.e. photovoltaic panels or photovoltaic arrays) and photovoltaic equipment, etc., determining the boundary of the photovoltaic array, and selecting the color of the photovoltaic array displayed on the three-dimensional map.

[0054] In some embodiments, the power station point-by-point roaming includes: based on the map software responding to the user's visualization operation in the real scene model on the three-dimensional map, the user can have a more comprehensive understanding of the structure and operation status of the power station. The visualization operation includes: rotating the viewing angle, zooming, and moving. Resetting the viewing angle includes: resetting to the initial fixed viewing angle with one key based on the power station point-by-point roaming.

[0055] In some embodiments, information display includes: constructing a nested data structure, including the operating status data and coordinate information of the photovoltaic equipment, so as to realize the real-time display of the status data of all types and regions of the whole station, as well as the loading and positioning of the results of intelligent inspection and fault diagnosis, so as to form a visual human-computer interaction interface, and provide the operation and maintenance personnel with accurate photovoltaic status points and fault points (target location of the faulty photovoltaic components) positioning information. Equipment search includes: quickly searching the device information and location information to be queried, and moving the device information and location information to the device location to be viewed by roaming.

[0056] In some embodiments, the display of power station information includes: by integrating multiple data sources and advanced technologies, comprehensively and in real time displaying the power station's operating status, equipment information, environmental parameters, and management data, etc., to provide strong support for the power station's operation and maintenance management, decision support, and safety monitoring. Electricity statistics include: real-time and historical data on the power generation of photovoltaic power stations, which helps operation and maintenance personnel and managers understand the power generation capacity, operating efficiency, and economic benefits of the power station.

[0057] In some embodiments, the fault anomaly statistics include: classified, statistical and analyzed fault anomaly information, which is various fault information and abnormal information that occurs during the operation of the power station and is collected in real time by the monitoring system and the fault alarm system. This function is intuitively displayed to the user in the form of a chart or list, helping the user to quickly understand the fault anomaly of the power station, and providing strong support for fault troubleshooting, maintenance and the formulation of preventive measures.

[0058] In some embodiments, displaying social contributions includes: converting the emission reduction effect of the photovoltaic power station into an equivalent amount of tree planting, and displaying the contribution of the photovoltaic power station to improving environmental quality with the equivalent amount of tree planting. The emission reduction effect is reflected by the amount of greenhouse gas (such as carbon dioxide, etc.) emissions reduced by the photovoltaic power station and the amount of fossil energy (such as standard coal, etc.) saved by the operation of the photovoltaic power station.

[0059] In some embodiments, asset management includes: comprehensive monitoring, data analysis, optimal configuration, and maintenance management of photovoltaic power station assets. Power station revenue includes: current power generation, grid-connected power, grid-connected power price, and real-time revenue amount. Supports querying the historical revenue data of the power station. Users can select different time dimensions such as day, month, and year to view the revenue of the power station as needed.

[0060] According to one implementation of the present application, the operating status of the photovoltaic equipment is monitored, including: inverter monitoring, box transformer monitoring and meter monitoring. Photovoltaic power generation data is analyzed based on the fault diagnosis model in the information-based fault diagnosis mode, including: power station power generation monitoring, power station power generation statistics, data query, data statistics and data comparison of real-time data and historical data, and inverter analysis.

[0061] According to an implementation manner of the present application, after analyzing the identified fault characteristics, the intelligent operation and maintenance management system is further used to: Interactively verify the information-based fault diagnosis results and image fault recognition results, and iterate and optimize the fault diagnosis database of the intelligent operation and maintenance management system simultaneously, so as to finally achieve accurate identification and positioning of faulty photovoltaic components. Among them, the information-based fault diagnosis result is the target location of the faulty photovoltaic component, the image fault recognition result is the result of fault recognition of the fault image, and the fault diagnosis database contains fault diagnosis information. Report fault diagnosis information to the terminal of the intelligent operation and maintenance management system, and publish operation and maintenance management tasks to achieve "targeted" diagnosis and efficient operation and maintenance management of smart photovoltaic power stations. Generate a fault diagnosis report and display the fault diagnosis information on the display system in real time.

[0062] In some embodiments, inverter monitoring includes: monitoring the operating status of the inverter, querying the power station to which the inverter belongs, and querying the photovoltaic array to which the inverter belongs. Box transformer monitoring includes: monitoring the operating status of the box transformer, querying the power station to which the box transformer belongs, and querying the photovoltaic array to which the box transformer belongs. Electric meter monitoring includes: monitoring the operating status of the electric meter, and querying the power station to which the electric meter belongs.

[0063] In some embodiments, data query includes: data query of real-time data and historical data, query of lost power generation and display of irradiation curve. Among them, the irradiation curve is a curve fitted according to the irradiance. Inverter analysis includes: inverter discrete rate analysis and inverter operation time abnormality query. Data statistics include: equipment power generation statistics, lost power generation statistics and power station annual and monthly power generation statistics. Data comparison includes: vertical grading energy efficiency analysis and inverter power generation comparison.

[0064] According to one embodiment of the present application, the intelligent operation and maintenance management system is also used for: weather and power generation forecasting, intelligent inspection and fault diagnosis, component cleaning management, plant and station intelligent security, and drone management.

[0065] In some embodiments, weather and power generation forecasts include: environmental monitoring, power generation target completion statistics, and optical power forecasts. Intelligent inspection and fault diagnosis include: inspection plans and fault alarms. Component cleaning management includes: cleaning management and dust detection SR (Surface Reflectance).

[0066] In some embodiments, the intelligent security of the power plant includes: video monitoring and security monitoring. Drone management includes: displaying quantity information on the photovoltaic power plant data homepage, performing display, creation and viewing operations on the power plant map, reviewing and eliminating defects, remote inspection, user management, flight management, generating inspection plans and determining inspection tasks.

[0067] In some embodiments, environmental monitoring includes: monitoring environmental conditions and querying the power station to which it belongs. Statistics on the completion of power generation indicators include: statistics on the completion of power generation indicators, querying the power station to which it belongs, the type of equipment to which it belongs, and the query time. Optical power prediction includes: predicting optical power, querying the power station to which it belongs, and querying the start and end time. Inspection planning includes: planning the inspection process, querying the power station to which it belongs, the type of inspection equipment, and the inspection time. Fault alarm includes: alarming the failure of photovoltaic modules, querying the power station to which it belongs, the type of equipment, the number of fault alarms, and the failure rate.

[0068] In some embodiments, cleaning management includes: managing cleaning plans and time, cleaning progress and status, and querying the power station to which it belongs. Dust detection SR includes: monitoring dust on photovoltaic modules, querying the power station to which it belongs, and querying the start and end time of detection. Video monitoring includes: monitoring the working status of personnel and the operating status of equipment, and querying the power station to which it belongs. Security monitoring includes: video monitoring of the surrounding environment of the photovoltaic power station, and querying the power station to which it belongs.

[0069] According to one embodiment of the present application, the quantity information displayed on the photovoltaic power station data homepage includes: the cumulative number of photovoltaic modules inspected by the photovoltaic power station drone, the cumulative number of defects eliminated in the photovoltaic modules, the trend of the number of defects within a preset period (for example, nearly a year or a month, etc.), the proportion of each defect in the total defects, and a high-definition panoramic view of the power station taken by the drone, and the high-definition panoramic view of the power station is used to display the inspection area of ​​the drone.

[0070] According to one implementation of the present application, the display, creation and viewing operations performed on the power station map include: displaying the name of the photovoltaic power station, the name of the parent provincial company, the installed capacity, the grid-connected time and the address of the photovoltaic power station on the power station map, creating the drone inspection area of ​​the photovoltaic power station, and viewing the two-dimensional orthophoto panoramic map taken by the drone. Among them, the inspection area supports custom names, the number of photovoltaic components and the length of time the drone is used (such as the number of annual hours of use, etc.), as well as setting the parameters used for analysis. The inspection area is the minimum range of a single drone inspection.

[0071] In some embodiments, the review and elimination of defects includes: in response to the operation of the maintenance personnel using the intelligent operation and maintenance APP (Application) to guide to the defect location when the intelligent operation and maintenance management system is offline, the defect elimination result is reviewed (i.e., the elimination result of the defect of the faulty photovoltaic module is reviewed); or, the defect elimination result is uploaded to the intelligent operation and maintenance management system using pictures taken by a third-party device. Among them, the defect result of the photovoltaic module is synchronized with the intelligent operation and maintenance APP, the defect elimination result is saved in the intelligent operation and maintenance APP when the intelligent operation and maintenance management system is offline, and the defect elimination result is synchronized with the intelligent operation and maintenance management system when the intelligent operation and maintenance management system is online (with network).

[0072] In some embodiments, remote inspection includes: remote, non-contact inspection and monitoring of target inspection areas or target equipment based on drone remote monitoring equipment. User management includes: user identity authentication to ensure that only legitimate users can access and use the drone system, and assign different operating permissions based on user roles and responsibilities. Flight management includes: management of route planning, airspace, flight time, and flight ranking.

[0073] In some embodiments, generating an inspection plan includes: generating an inspection plan for immediate inspection, smart inspection, scheduled inspection, and periodic inspection. Determining an inspection task includes: determining an inspection airport, inspection time, and area, querying the inspection equipment status, inspection plan completion status, and inspection report.

[0074] In some embodiments, immediate inspection includes: immediately initiating a drone inspection of photovoltaic components. After the immediate inspection command is issued, the drone will be launched within a preset time (such as 35 seconds). The drone is turned on when it starts to perform the mission at the airport, and relevant information is displayed. The relevant parameters can be modified when the drone is in the on state. The live broadcast screen of the drone is displayed on the right side of the display system. The infrared camera can manually modify the color scheme, supporting two common color schemes of gray and white and infrared. Smart inspection includes: determining the preset inspection time range, preset inspection conditions, and preset charging power. When the drone in the inspection airport meets the preset inspection conditions within the preset inspection time range, it will automatically fly according to the planned route.

[0075] In some embodiments, scheduled inspections include: determining a preset inspection time according to user needs, the intelligent operation and maintenance management system automatically determines the drone suitable for the operation, and the drone automatically executes the route flight when the preset inspection time is reached. A smart inspection plan can select multiple inspection areas, completely freeing up monitoring personnel, and there is no need for operation and maintenance personnel to wait and click on the next inspection while working. Periodic inspections include: determining a preset inspection cycle (for example, daily, weekly, monthly, etc.), automatically generating an inspection plan at the time corresponding to the scheduled inspection within the preset inspection cycle, and automatically executing the inspection task.

[0076] According to one implementation of the present application, personnel management includes: user management, role management, and organizational structure management. Plant equipment asset management includes: equipment ledger management, spare parts management, and tool management. Power station management includes: power station list management, contract management, and work order management. Health evaluation includes: health inspection and generation of inspection report.

[0077] In some embodiments, user management includes: managing the user's username, work number, and contact information, and querying the power station to which they belong. Role management includes: managing role names and permissions. Organizational structure management includes: managing the organizational structure of the power station, and querying the power station to which they belong and the status of the power station. Tool management includes: basic information management, tool inventory, warehousing management, outbound management, and safety tool inspection. Work order management includes: work order submission and work order processing.

[0078] According to one implementation of the present application, intelligent work order management includes: work order submission and work order processing. KPI management includes: comprehensive evaluation, management of equipment operation indicators, power generation indicators and solar energy resource indicators. Intelligent report management includes: management of daily operation report, weekly operation report, monthly operation report, monthly report filling instructions, annual operation report and contractual planned power generation.

[0079] In some embodiments, work order submission includes: submitting the work order, querying the power plant name, work order and equipment type, and issuing time. Work order processing includes: processing the work order, querying the power plant name, processor, processing time, and work order process status.

[0080] See also Figure 3 , Figure 3 Schematic diagram of the architecture of an intelligent management and control system for photovoltaic power stations based on the Internet of Things provided in the embodiment of the present application. Figure 3 As shown, the system includes: photovoltaic power generation equipment, environmental and meteorological monitoring equipment, drone inspection and auxiliary monitoring equipment, multiple data acquisition terminals, multiple data transmission base stations, a main switch, a plant-level control center server, and an intelligent control platform for photovoltaic power stations based on the Internet of Things.

[0081] Among them, the data acquisition terminal can be a sensor, the data transmission base station can be a light transmission base station or a wireless transmission base station, and the photovoltaic power station intelligent management and control platform based on the Internet of Things is a digital intelligent photovoltaic management and control platform.

[0082] In some embodiments, photovoltaic power generation equipment is used to generate voltage signals, current signals and frequency signals, environmental and meteorological monitoring equipment is used to monitor the temperature, humidity, light intensity, wind speed and wind direction of the photovoltaic power station, and drone inspection and auxiliary monitoring equipment is used to transmit drone videos, monitoring videos and status signals of photovoltaic equipment.

[0083] In some embodiments, the first data acquisition terminal is used to collect voltage signals, current signals and frequency signals, the second data acquisition terminal is used to collect temperature, humidity, light intensity, wind speed and wind direction of the photovoltaic power station, and the second data acquisition terminal is used to receive drone videos, monitoring videos and status signals of photovoltaic equipment.

[0084] In some embodiments, each data transmission base station is used to transmit the photovoltaic power generation data collected by each data collection terminal to the main switch. The main switch is used to transmit the photovoltaic power generation data transmitted by each data transmission base station to the plant-level control center server.

[0085] In some embodiments, a local area network system covering the entire station is constructed through the Internet of Things and wireless communication technology. The plant-level control center server is used to receive photovoltaic power generation data transmitted by the main switch, and analyze the photovoltaic power generation data based on the data analysis model and algorithm. Among them, the photovoltaic power generation data is stored in the database system, and the database system is configured in the plant-level control center server. The database system also stores basic data, monitoring data, analysis data, and control data.

[0086] In some embodiments, the photovoltaic power station intelligent management and control platform is used for real-time monitoring of photovoltaic equipment status, storage of historical data, power generation prediction, status assessment, fault diagnosis, intelligent inspection, component cleaning management, benefit assessment, operation and maintenance management, and report management. The big data resources loaded by the photovoltaic power station intelligent management and control platform can realize data aggregation, processing, storage, analysis and presentation, and realize remote control, real-time monitoring and intelligent scheduling of photovoltaic power generation systems and auxiliary equipment through various types of terminal devices arranged in the station.

[0087] Among them, photovoltaic power generation equipment, environmental and meteorological monitoring equipment, drone inspection and auxiliary monitoring equipment are configured in the perception layer, various data collection terminals, various data transmission base stations and main switches are configured in the transmission layer, the plant-level control center server is configured in the support layer, and the photovoltaic power station intelligent control platform is configured in the application layer.

[0088] Please continue to see Figure 3 According to one implementation of the present application, the main switch is connected to the optical power meteorological prediction module and the firewall, the firewall is connected to the router, and the router is connected to the regional company-level management and control platform.

[0089] The optical power meteorological forecast module is used to obtain optical power data based on optical power forecast and meteorological data based on meteorological forecast. The main switch is also used to transmit optical power data and meteorological data to the plant-level control center server.

[0090] Please continue to see Figure 3 According to one implementation of the present application, the data analysis model includes: an equipment status analysis model, a component fault diagnosis model, a power generation prediction model, and a safety management and control model.

[0091] The equipment status analysis model is used to analyze the status of photovoltaic equipment, the component fault diagnosis model is used to diagnose the faults of photovoltaic components, the power generation prediction model is used to predict the power generation of photovoltaic power stations, and the safety management and control model is used to perform safety management and control of photovoltaic power stations.

[0092] The embodiment of the present application provides an intelligent management and control platform for photovoltaic power stations based on the Internet of Things. The display system is used for visual operation and display of photovoltaic power station status information. The intelligent operation and maintenance management system preliminarily determines the target location of the faulty photovoltaic component by analyzing the photovoltaic power generation data, performs fault identification and fault feature analysis on the fault image, and finally determines the target location of the faulty photovoltaic component. The intelligent public management system is used for personnel management, plant equipment asset management, photovoltaic power station management and health evaluation. The intelligent operation management system is used for intelligent work order management, KPI management and intelligent report management.

[0093] This application scheme uses the Internet of Things to achieve the interconnection and integration of information-based fault diagnosis technology and drone inspection technology in the intelligent operation and maintenance of photovoltaic power stations. Based on the Internet of Things technology, a unified intelligent management and control platform for various types of systems to cooperate with each other is built, which can improve the intelligent management and control level of photovoltaic power stations, and can accurately locate faulty photovoltaic components, so that operation and maintenance personnel can quickly and accurately find faulty photovoltaic components and repair them. It can also realize intelligent public management and operation management, and has strong ease of use and practicality.

[0094] In addition, this application scheme is centered on an intelligent management and control platform for photovoltaic power stations based on the Internet of Things, with IoT information transmission as the link, integrating multi-scenario, multi-functional digital terminal equipment, loading multi-dimensional analysis strategies and application models, and comprehensively coordinating the management of independent photovoltaic power stations.

[0095] Figure 4 This is a schematic diagram of the structure of the electronic device 4 provided in the embodiment of the present application. Figure 4 As shown, the electronic device 4 of this embodiment includes: at least one processor 401 ( Figure 4 Only one is shown in the figure), a memory 403 and a computer program 402 stored in the memory 403 and executable on at least one processor 401, and the functions of the above platform are implemented when the processor 401 executes the computer program 402.

[0096] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a mobile phone. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 403. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation on the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.

[0097] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware photovoltaic modules, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0098] In some embodiments, the memory 403 may be an internal storage unit of the electronic device 4, such as a hard disk or memory of the electronic device 4. In other embodiments, the memory 403 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital card (SecureDigital, SD), a flash card (Flash Card), etc. equipped on the electronic device 4. Further, the memory 403 may also include both an internal storage unit of the electronic device 4 and an external storage device. The memory 403 is used to store an operating system, an application program, a boot loader (Boot Loader), data, and other programs, such as program codes of a computer program, etc. The memory 403 may also be used to temporarily store data that has been output or is to be output.

[0099] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, when the present application implements all or part of the functions in the above-mentioned platform, it can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can realize the functions of the above-mentioned platform. Among them, the computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may at least include: any entity or device that can carry the computer program code to the computing device / electronic device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, such as USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable storage media cannot be electric carrier signals and telecommunication signals.

[0100] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the functions of the above platform are implemented.

[0101] An embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the functions of the above platform.

[0102] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0103] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0104] In the embodiments provided in the present application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. The device / electronic device embodiments described above are merely schematic, and the division of the above modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or photovoltaic components can be combined or integrated into another system, and some features can be ignored and not executed. Another point is that the indirect coupling, direct coupling or communication connection between each other shown or discussed can be an indirect coupling, direct coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0105] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An intelligent management and control platform for photovoltaic power stations based on the Internet of Things, characterized in that: The platform includes: a display system, an intelligent operation and maintenance management system, an intelligent public management system and an intelligent operation management system; The display system is used to visualize the operation and display of the photovoltaic power station status information; The intelligent operation and maintenance management system is used to monitor the operating status of photovoltaic equipment, collect photovoltaic power generation data, analyze the photovoltaic power generation data based on the fault diagnosis model in the information-based fault diagnosis mode, preliminarily determine the target location of the faulty photovoltaic component, locate and mark the target location, link the drone inspection terminal in the photovoltaic power station to obtain fault alarm and positioning information, collect the fault image of the target location, perform fault identification on the fault image based on a convolutional neural network, and analyze the identified fault features to finally determine the target location of the faulty photovoltaic component; The intelligent public management system is used for personnel management, plant equipment asset management, photovoltaic power station management and health evaluation; The intelligent operation management system is used for intelligent work order management, KPI management and intelligent report management.

2. According to the Internet of Things-based photovoltaic power station intelligent management and control platform of claim 1, it is characterized in that: The display system includes: a 3D visual digital twin interface and a power station status display unit; The 3D visual digital twin interface is used for equipment modeling, power plant boundary characterization, chart switching, area division, perspective reset, power plant point roaming, information display and equipment search; The power station status display unit is used to display power station information, power consumption statistics, fault abnormality statistics, social contribution, asset management and power station revenue.

3. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 2 is characterized in that: The equipment modeling includes: using a three-dimensional map modeling algorithm to adjust the information of the real scene model obtained according to the power station construction situation on the map software; based on the geographic space data visualization rendering engine, loading the real scene model after information adjustment onto the three-dimensional map; instantiating the equipment type, equipment distribution and power station entity objects of the real scene model on the three-dimensional map, and performing event binding on the instantiated entities; The power station boundary depiction includes: depicting the power station boundary by 3D modeling to display the photovoltaic power generation data in 3D real scene; the chart switching includes: switching the power station operation report to be viewed to obtain the power station operation data in the operation report in real time; the area division includes: dividing the photovoltaic area of ​​the photovoltaic power station based on the map software, dividing the range of the photovoltaic array according to the number of photovoltaic arrays and photovoltaic equipment, determining the boundary of the photovoltaic array, and selecting the color of the photovoltaic array displayed on the three-dimensional map; The power station point-by-point roaming includes: responding to the user's visualization operations in the real-life model on the three-dimensional map based on the map software; the resetting perspective includes: resetting to the initial fixed perspective with one click based on the power station point-by-point roaming; the information display includes: constructing a nested data structure, and providing the positioning information of the target position to the operation and maintenance personnel; wherein the data structure includes: the operating status data and coordinate information of the photovoltaic equipment; the equipment search includes: searching for the equipment information and location information to be queried, and moving the equipment information and the location information to the equipment location to be viewed based on the roaming method.

4. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 2 or 3, characterized in that: Displaying the power station information includes: real-time display of the operating status, equipment information, environmental parameters and management data of the photovoltaic power station; the power statistics include: real-time data and historical data of the power generation of the photovoltaic power station; the fault abnormality statistics include: classified, statistical and analyzed fault abnormality information, which is various types of fault information and abnormality information occurring during the operation of the power station collected in real time by the monitoring system and the fault alarm system; Demonstration of the social contribution includes: converting the emission reduction effect of the photovoltaic power station into an equivalent amount of tree planting, and using the equivalent amount of tree planting to demonstrate the contribution of the photovoltaic power station to improving environmental quality. The emission reduction effect is reflected by the amount of greenhouse gas emissions reduced by the photovoltaic power station and the amount of fossil energy saved by the operation of the photovoltaic power station; the asset management includes: comprehensive monitoring, data analysis, optimal configuration and maintenance management of photovoltaic power station assets; the power station income includes: current power generation, grid-connected power, grid-connected electricity price and real-time income amount.

5. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 1 is characterized in that: Monitor the operating status of photovoltaic equipment, including inverter monitoring, box transformer monitoring and electric meter monitoring; Analyze the photovoltaic power generation data based on the fault diagnosis model in the information-based fault diagnosis mode, including: power station power generation monitoring, power station power generation statistics, data query, data statistics and data comparison of real-time data and historical data, and inverter analysis; After analyzing the identified fault features, the intelligent operation and maintenance management system is also used to: Interactively verify the information-based fault diagnosis result and the image fault recognition result, and synchronously iterate and optimize the fault diagnosis database of the intelligent operation and maintenance management system; wherein the information-based fault diagnosis result is the target position of the faulty photovoltaic component, the image fault recognition result is the result of fault recognition of the fault image, and the fault diagnosis database contains fault diagnosis information; Reporting the fault diagnosis information to the terminal of the intelligent operation and maintenance management system and issuing operation and maintenance management tasks; A fault diagnosis report is generated, and the fault diagnosis information is displayed on the display system in real time.

6. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 5 is characterized in that: The inverter monitoring includes: monitoring the operating status of the inverter, querying the power station to which the inverter belongs and querying the photovoltaic array to which the inverter belongs; the box transformer monitoring includes: monitoring the operating status of the box transformer, querying the power station to which the box transformer belongs and querying the photovoltaic array to which the box transformer belongs; the meter monitoring includes: monitoring the operating status of the meter and querying the power station to which the meter belongs; The data query includes: data query on the real-time data and the historical data, query on lost power generation and display of irradiation curve; the inverter analysis includes: inverter discrete rate analysis and query on abnormal inverter operation time; the data statistics include: equipment power generation statistics, lost power generation statistics and power station annual and monthly power generation statistics; the data comparison includes: vertical grading energy efficiency analysis and inverter power generation comparison.

7. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 1 is characterized in that: The intelligent operation and maintenance management system is also used for: weather and power generation forecasting, intelligent inspection and fault diagnosis, component cleaning management, plant and station intelligent security, and drone management.

8. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 7 is characterized in that: The meteorological and power generation forecast includes: environmental monitoring, power generation target completion statistics and optical power forecast; the intelligent inspection and fault diagnosis includes: inspection plan and fault alarm; the component cleaning management includes: cleaning management and dust detection SR; The intelligent security of the plant includes: video surveillance and security monitoring; the drone management includes: displaying quantity information on the photovoltaic power station data homepage, performing display, creation and viewing operations on the power station map, reviewing and eliminating defects, remote inspections, user management, flight management, generating inspection plans and determining inspection tasks.

9. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 8 is characterized in that: The environmental monitoring includes: monitoring environmental conditions and querying the power station to which it belongs; the power generation index completion statistics include: statistics on the completion of the power generation index, querying the power station to which it belongs, the type of equipment to be queried and the query time; the optical power prediction includes: predicting the optical power, querying the power station to which it belongs, and querying the start and end time; The inspection plan includes: planning the inspection process, querying the power station to which it belongs, the type of inspection equipment and the inspection time; the fault alarm includes: alarming the fault of the photovoltaic module, querying the power station to which it belongs, the type of equipment, the number of fault alarms and the fault rate; The cleaning management includes: management of cleaning plan and time, cleaning progress and status, and query of power station; the dust detection SR includes: monitoring of dust on photovoltaic modules, query of power station, and query of detection start and end time; The video monitoring includes: monitoring the working status of personnel and the operating status of equipment, and querying the power station to which they belong; the security monitoring includes: video monitoring of the surrounding environment of the photovoltaic power station, and querying the power station to which they belong.

10. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 8 or 9, characterized in that: The quantity information displayed on the photovoltaic power station data homepage includes: displaying the cumulative number of photovoltaic modules inspected by the photovoltaic power station drone, the cumulative number of defects eliminated in the photovoltaic modules, the defect quantity trend within a preset period, the proportion of each defect in the total defects, and the panoramic view of the power station taken by the drone, the panoramic view of the power station is used to display the inspection area of ​​the drone; The display, creation and viewing operations performed on the power station map include: displaying the name of the photovoltaic power station, the name of the superior provincial company, the installed capacity, the grid-connected time and the address of the photovoltaic power station on the power station map, creating the drone inspection area of ​​the photovoltaic power station, and viewing the two-dimensional orthophoto panoramic map taken by the drone; wherein the inspection area supports custom names, the number of photovoltaic modules and the length of time the drone is used, as well as setting parameters used for analysis, and the inspection area is the minimum range of a single drone inspection; The review and defect elimination includes: in response to the operation of the operation and maintenance personnel using the intelligent operation and maintenance APP to guide to the defect location when the intelligent operation and maintenance management system is offline, the review and defect elimination is performed to obtain the defect elimination result; or, the pictures taken by the third-party equipment are used to upload the defect elimination result in the intelligent operation and maintenance management system; wherein the defect result of the photovoltaic module is synchronized with the intelligent operation and maintenance APP, the defect elimination result is saved in the intelligent operation and maintenance APP when the intelligent operation and maintenance management system is offline, and the defect elimination result is synchronized with the intelligent operation and maintenance management system when the intelligent operation and maintenance management system is online; The remote inspection includes: non-contact inspection and monitoring of the target inspection area or target equipment based on the UAV remote monitoring equipment; the user management includes: identity authentication of users and allocation of different operation permissions according to the user's role and responsibilities; the flight management includes: management of route planning, airspace, flight time and flight ranking; The generation of inspection plans includes: generating inspection plans for immediate inspection, smart inspection, scheduled inspection and periodic inspection; the determination of inspection tasks includes: determining inspection airports, inspection times and areas, querying inspection equipment status, inspection plan completion status and inspection reports.

11. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 10, characterized in that: The immediate inspection includes: immediately initiating a drone inspection of the photovoltaic components, and the drone will take off within a preset time after the immediate inspection command is issued; the smart inspection includes: determining a preset inspection time range, preset inspection conditions, and preset charging power, and the drone in the inspection airport automatically executes the route flight when the preset inspection conditions are met within the preset inspection time range; The scheduled inspection includes: determining a preset inspection time according to user needs, and the UAV executes a route flight when the preset inspection time is reached; the periodic inspection includes: determining a preset inspection cycle, automatically generating an inspection plan at a time corresponding to the scheduled inspection within the preset inspection cycle, and automatically executing the inspection task.

12. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 1, characterized in that: The personnel management includes: user management, role management and organizational structure management; the plant equipment asset management includes: equipment ledger management, spare parts management and tool management; the power station management includes: power station list management, contract management and work order management; the health assessment includes: health inspection and generation of inspection report.

13. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 12, characterized in that: The user management includes: management of user names, work numbers and contact information, and query of power stations to which they belong; the role management includes: management of role names and permissions; the organizational structure management includes: management of the organizational structure of the power station, and query of power stations to which they belong and power station status; the tool management includes: basic information management, tool inventory, warehousing management, outbound management and safety tool inspection; the work order management includes: work order submission and work order processing.

14. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 1, characterized in that: The intelligent work order management includes: work order submission and work order processing; the KPI management includes: comprehensive evaluation, management of equipment operation indicators, power generation indicators and solar energy resource indicators; the intelligent report management includes: management of daily operation reports, weekly operation reports, monthly operation reports, monthly report filling instructions, annual operation reports and contractual planned power generation.

15. The photovoltaic power station intelligent management and control platform based on the Internet of Things according to claim 14, characterized in that: The work order submission includes: submitting the work order, querying the power station name, work order and equipment type, and issuance time; the work order processing includes: processing the work order, querying the power station name, processor, processing time, and work order process status.

16. An intelligent management and control system for photovoltaic power stations based on the Internet of Things, characterized in that: The system comprises: photovoltaic power generation equipment, environmental and meteorological monitoring equipment, drone inspection and auxiliary monitoring equipment, multiple data acquisition terminals, multiple data transmission base stations, a main switch, a plant-level control center server, and an intelligent control platform for photovoltaic power stations based on the Internet of Things as described in any one of claims 1 to 15; The photovoltaic power generation equipment is used to generate voltage signals, current signals and frequency signals; The environmental and meteorological monitoring equipment is used to monitor the temperature, humidity, light intensity, wind speed and wind direction of the photovoltaic power station; The drone inspection and auxiliary monitoring equipment is used to transmit drone videos, monitoring videos and status signals of photovoltaic equipment; The first data acquisition terminal is used to collect voltage signals, current signals and frequency signals; the second data acquisition terminal is used to collect temperature, humidity, light intensity, wind speed and wind direction of the photovoltaic power station; the third data acquisition terminal is used to receive drone videos, monitoring videos and status signals of photovoltaic equipment; Each data transmission base station is used to transmit the photovoltaic power generation data collected by each data collection terminal to the main switch; The main switch is used to transmit the photovoltaic power generation data transmitted by each data transmission base station to the plant-level control center server; The plant-level control center server is used to receive the photovoltaic power generation data transmitted by the main switch, and analyze the photovoltaic power generation data based on the data analysis model and algorithm; wherein the photovoltaic power generation data is stored in a database system, and the database system is configured in the plant-level control center server; The photovoltaic power station intelligent management and control platform is used for real-time monitoring of photovoltaic equipment status, storage of historical data, power generation prediction, status evaluation, fault diagnosis, intelligent inspection, component cleaning management, benefit evaluation, operation and maintenance management, and report management; Among them, the photovoltaic power generation equipment, the environmental and meteorological monitoring equipment, and the drone inspection and auxiliary monitoring equipment are configured in the perception layer, each data acquisition terminal, each data transmission base station and the main switch are configured in the transmission layer, the plant-level control center server is configured in the support layer, and the photovoltaic power station intelligent control platform is configured in the application layer.

17. The photovoltaic power station intelligent management and control system based on the Internet of Things according to claim 16, characterized in that: The main switch is connected to the optical power meteorological prediction module and the firewall, the firewall is connected to the router, and the router is connected to the regional company-level management and control platform; The optical power meteorological prediction module is used to obtain optical power data based on optical power prediction, and to obtain meteorological data based on meteorological prediction. The main switch is also used to transmit the optical power data and the meteorological data to the plant-level control center server.

18. The photovoltaic power station intelligent management and control system based on the Internet of Things according to claim 16 or 17, characterized in that: The data analysis model includes: equipment status analysis model, component fault diagnosis model, power generation prediction model and safety management and control model; The equipment status analysis model is used to analyze the status of the photovoltaic equipment; The component fault diagnosis model is used to diagnose faults of photovoltaic components; The power generation prediction model is used to predict the power generation of the photovoltaic power station; The safety management and control model is used to perform safety management and control on a photovoltaic power station.

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