CN116094459A - Intelligent guarantee method and system for unmanned photovoltaic power station - Google Patents

Intelligent guarantee method and system for unmanned photovoltaic power station Download PDF

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Publication number
CN116094459A
CN116094459A CN202310062045.0A CN202310062045A CN116094459A CN 116094459 A CN116094459 A CN 116094459A CN 202310062045 A CN202310062045 A CN 202310062045A CN 116094459 A CN116094459 A CN 116094459A
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photovoltaic panel
power station
photovoltaic
photovoltaic power
abnormal
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崔慧生
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Priority to CN202310062045.0A priority Critical patent/CN116094459A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/02Constructional details
    • G01J5/03Arrangements for indicating or recording specially adapted for radiation pyrometers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/48Thermography; Techniques using wholly visual means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/10Cleaning arrangements
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02S50/10Testing of PV devices, e.g. of PV modules or single PV cells
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Photovoltaic Devices (AREA)

Abstract

The application provides a system of unmanned on duty photovoltaic power plant intelligence guarantee for including cleaning robot's photovoltaic power plant's inspection, including mount pad, arm, camera, workstation, temperature sensor, communication module and controller, the arm drives the camera with temperature sensor gathers the visible light image and the temperature data of photovoltaic panel front and back side respectively. The intelligent guarantee method for the unmanned photovoltaic power station further comprises the step of judging whether the photovoltaic panel is abnormal or not through judging temperature data of the photovoltaic panel and the connector lug or voltage of the photovoltaic panel. By adopting the intelligent guarantee method and system for the unmanned photovoltaic power station, personnel are not required to patrol, faults of the components are automatically detected, patrol and fault detection efficiency is improved, maintenance personnel are timely prompted to maintain, the fault components are prevented from influencing operation of other components, and the risk that the fault components influence safe operation of the photovoltaic power station is reduced.

Description

Intelligent guarantee method and system for unmanned photovoltaic power station
Technical Field
The application relates to the technical field of photovoltaic power generation, in particular to an intelligent guarantee method and system for an unattended photovoltaic power station.
Background
In 1839, the french scientist beckle found that light could cause a potential difference between different sites of semiconductor material. This phenomenon is hereinafter referred to as the "photovoltaic effect", simply "photovoltaic effect". In 1954, us scientists qibin and Pi Ersong made practical monocrystalline silicon solar cells for the first time in bell laboratories in the united states, and a practical photovoltaic power generation technology for converting solar energy into electrical energy was created. Following the 70 s of the 20 th century, with the development of the modern industry, global energy crisis and atmospheric pollution problems are increasingly prominent, and renewable energy sources are the focus of attention. The energy of the solar energy reaching the ground per second is up to 80 kilowatts, and if 0.1% of the solar energy on the surface of the earth is converted into electric energy, the conversion rate is 5%, and the annual energy generation capacity can reach 5.6X11012 kilowatt-hours, which is 40 times of the world energy consumption. Due to the unique advantages of solar energy, the types of solar cells are continuously increased after the 80 s of the 20 th century, the application range is increasingly wide, and the market scale is gradually enlarged. After the 90 s of the 20 th century, photovoltaic power generation rapidly developed, and more than 10 megawatt photovoltaic power generation systems and 6 megawatt networking photovoltaic power stations have been built in the world by 2006.
Photovoltaic power plants are power plants that convert solar radiant energy into electrical energy by means of a solar array of cells, known as solar photovoltaic power plants. In order to ensure long-term reliable and stable operation of the photovoltaic power station, the photovoltaic power station needs to be periodically inspected, the operation condition of equipment is known, and later operation and maintenance service is carried out. The traditional operation and maintenance mode of the photovoltaic power station is that 2 inspection staff are required, whether an inspection assembly is damaged or not every day, an ammeter is used for detecting one by one, the inspection is required to take 7-10 days, the fault problem is judged according to manual experience, the dependency on staff experience is high, the labor cost is high, the equipment fault discovery efficiency is low, and the power station benefit is affected.
In the prior art, the operation and maintenance mode of the novel photovoltaic power station is to utilize unmanned aerial vehicle to patrol and examine the photovoltaic power station, and based on unmanned aerial vehicle collection photovoltaic panel electricity generation operation data information. Because the photovoltaic module quantity is many and photovoltaic power plant scutcher is wide in among the photovoltaic power plant, the research and development of current unmanned aerial vehicle inspection system is mainly concentrated in unmanned aerial vehicle's inspection route design aspect, and whether the judgement to photovoltaic module trouble mainly takes place unusual through image recognition judgement photovoltaic board.
The intelligent unmanned inspection system for the photovoltaic power station and the intelligent inspection terminal are disclosed in China patent with publication number of CN113673418A and publication date of 2021, 11 months and 19 days, the intelligent inspection terminal is utilized to replace manual inspection for the photovoltaic module in the photovoltaic power station, an inspection instruction sent by the control terminal is responded, the inspection instruction is moved among the photovoltaic module strings according to a preset path, the image and the spatial position information of the photovoltaic module are acquired at a short distance in the moving process, the image and the spatial position information of the photovoltaic module are sent to the control terminal, the control terminal is enabled to conduct abnormal identification on the received image of the photovoltaic module, the spatial position information of the photovoltaic module with abnormality is determined, the inspection efficiency is effectively improved, and the labor cost of inspection is reduced.
When the image acquisition module breaks down or the images shot by the camera due to weather, light and other reasons are not clear, the result of judging that the photovoltaic panel breaks down by the inspection system is inaccurate, so that a photovoltaic panel fault judging technology of the unattended photovoltaic power station is urgently needed, and the efficiency of detecting the photovoltaic panel faults is improved.
Disclosure of Invention
In order to solve the problems, the invention provides the intelligent guarantee method and the intelligent guarantee system for the unmanned photovoltaic power station.
The invention provides an intelligent guarantee system of an unmanned photovoltaic power station, which is used for inspection of the photovoltaic power station comprising a cleaning robot,
comprises a mounting seat, a mechanical arm, a camera, a workbench, a temperature sensor, a communication module and a controller,
the mounting seat is fixedly arranged on the cleaning robot, the mechanical arm is arranged on the mounting seat,
the camera and the temperature sensor are both arranged on the workbench, the workbench is arranged on the mechanical arm, the camera, the temperature sensor and the communication module are all connected with the controller, the communication module is connected with a remote server,
the mechanical arm drives the camera to collect visible light images on the front side and the back side of the photovoltaic panel, and the temperature sensor collects the temperatures of the photovoltaic panel and the connector lug.
Further, the manipulator comprises a manipulator big arm and a manipulator small arm, the manipulator big arm is in rotary connection with the installation seat, a first driving motor is arranged on the installation seat and drives the manipulator big arm to rotate, the manipulator small arm is in rotary connection with the manipulator big arm, and the first driving motor is connected with the controller.
Further, the manipulator forearm includes telescopic link and second driving motor, telescopic link one end with the workstation is connected, the telescopic link other end passes through the second driving motor with the big arm of manipulator rotates to be connected, the second driving motor is installed on the big arm of manipulator, the second driving motor drive the telescopic link is relative the big arm of manipulator is rotatory, the second driving motor reaches the control end of telescopic link all with the controller is connected.
Further, the workbench further comprises a workbench driving motor, the workbench is rotatably arranged on the telescopic rod, the workbench driving motor is arranged on the telescopic rod, the workbench is driven by the workbench driving motor to rotate relative to the telescopic rod, and the workbench driving motor is connected with the controller.
The invention also provides an intelligent guarantee method of the unmanned photovoltaic power station, which is based on an intelligent guarantee system of the unmanned photovoltaic power station and comprises the following steps: the controller periodically acquires temperature data of each photovoltaic panel and each connector lug, judges whether the temperature data are abnormal, and sends the abnormal data to the remote server.
Further, the method for judging whether the temperature data is abnormal is as follows: setting a preset threshold value, and if the temperature of the photovoltaic panel and the connector lug exceeds the preset value, the temperature of the photovoltaic panel and the connector lug is abnormal; and if the temperature of the photovoltaic panel and the connector lug does not exceed the preset value and the rising rate exceeds the preset rate threshold, judging that the temperature of the photovoltaic panel and the connector lug is abnormal.
Further, the method for judging whether the temperature data is abnormal further comprises the following steps: and the controller acquires that the temperature curves of the photovoltaic panel and the connector lug are wavy in the time set T, compares the temperatures of the photovoltaic panel and the connector lug with the abnormal data, and judges that the temperatures of the photovoltaic panel and the connector lug are abnormal if the temperatures of the photovoltaic panel and the connector lug are consistent with the abnormal data.
Further, after the temperature data of the photovoltaic panel and the connector lug are judged to be abnormal, the remote server sends out an alarm prompt.
Further, the intelligent guarantee method of the unmanned photovoltaic power station further comprises the following steps: and setting a preset threshold value, periodically acquiring the voltage of each photovoltaic panel by the controller, and judging that the photovoltaic panel is abnormal if the difference value between the acquired voltage and the voltage acquired in the previous period exceeds the preset threshold value.
Further, the method for periodically acquiring the voltage of each photovoltaic panel by the controller comprises the following steps:
temperature data of each photovoltaic panel and the connector lug are obtained,
the calculation formula of the voltage of each photovoltaic panel is as follows: u=k×t, where U is the voltage of each photovoltaic panel, T is the temperature data of each photovoltaic panel and the connector lug, and k is a preset coefficient smaller than 0.
The beneficial effects of the invention are as follows:
1. the intelligent guarantee system of the unattended photovoltaic power station judges whether the photovoltaic panel breaks down or not by acquiring the temperature data of each photovoltaic panel and the connector lug or periodically acquiring the voltage of each photovoltaic panel, the judging method for the faults of the photovoltaic panels is more scientific, the efficiency of detecting the faults of the photovoltaic panels is improved, the maintenance staff is prompted to maintain in time, the operation of other components is avoided, and the risk that the fault photovoltaic panels influence the safe operation of the photovoltaic power station is reduced.
2. The mechanical arm is arranged on the cleaning robot, and detects whether the photovoltaic panel breaks down or not when cleaning the photovoltaic panel, so that errors caused by the fact that the photovoltaic panel breaks down through image recognition and judgment are reduced, and the efficiency and accuracy of the photovoltaic panel fault detection are improved.
3. The intelligent guarantee system of the unmanned photovoltaic power station is characterized in that the mechanical arm is arranged on the cleaning robot, and when the intelligent guarantee system is in operation, the mechanical arm drives the camera to collect visible light images on the front side and the back side of the photovoltaic panel, so that the detection range is wide, and the position is accurate.
Drawings
Fig. 1 is a flowchart of an intelligent guarantee method for an unattended photovoltaic power station.
Fig. 2 is a schematic working diagram of an intelligent guarantee system of an unattended photovoltaic power station.
Fig. 3 is a mechanical arm structure diagram of a cleaning robot of an intelligent guarantee system of an unmanned photovoltaic power station.
Reference numerals illustrate: 1. a photovoltaic panel; 2. a mounting base; 3. a fixing part; 4. a rotating part; 5. a mechanical large arm; 6. a mechanical arm; 7, a telescopic rod; 8. a work table; 9. a camera is provided.
Detailed Description
The invention is further described below with reference to the drawings and specific examples. Those of ordinary skill in the art will be able to implement the invention based on these descriptions. In addition, the embodiments of the present invention referred to in the following description are typically only some, but not all, embodiments of the present invention. Therefore, all other embodiments, which can be made by one of ordinary skill in the art without undue burden, are intended to be within the scope of the present invention, based on the embodiments of the present invention.
The embodiment provides an intelligent guarantee system of an unmanned photovoltaic power station, which is used for inspection of the photovoltaic power station comprising a cleaning robot, and referring to figure 2, comprises a mounting seat, a mechanical arm, a camera, a workbench, a temperature sensor, a communication module and a controller,
the mounting seat is fixedly arranged on the cleaning robot, the mechanical arm is arranged on the mounting seat,
the camera and the temperature sensor are both arranged on a workbench, the workbench is arranged on a mechanical arm, the camera, the temperature sensor and a communication module are all connected with a controller, the communication module is connected with a remote server,
the mechanical arm drives the camera and the temperature sensor to respectively acquire visible light images and temperature data of the front surface and the back surface of the photovoltaic panel.
The mechanical arm is arranged on the cleaning robot, and the cleaning robot moves according to a preset route during inspection. The mechanical arm drives the camera and the temperature sensor to respectively collect visible light images and temperature data of the front surface and the back surface of the photovoltaic panel, and the communication module sends the collected visible light images and temperature data of the front surface and the back surface of the photovoltaic panel to the remote server.
Further, the mechanical arm comprises a mechanical arm big arm and a mechanical arm small arm, the mechanical arm big arm is rotationally connected with the mounting seat, and the mounting seat is provided with a first driving motor. When the manipulator is in operation, the controller drives the first driving motor to drive the manipulator large arm to rotate 360 degrees relative to the mounting seat. The manipulator small arm is rotationally connected with the manipulator large arm, and the manipulator small arm is driven to rotate simultaneously when the manipulator large arm rotates.
Further, the manipulator forearm includes second driving motor and telescopic link, and the telescopic link other end is connected with the workstation, and telescopic link one end is connected with manipulator big arm rotation through third driving motor, and third driving motor installs on the manipulator big arm, and the relative manipulator big arm rotation of third driving motor drive telescopic link, and the control end of third driving motor and telescopic link all is connected with the controller.
The photovoltaic board area is big, for gathering the visible light image and the temperature data of different positions on the photovoltaic board, and the manipulator forearm includes the telescopic link, and the flexible of controller control telescopic link is convenient for camera and the infrared module on the workstation gather the visible light image and the temperature data of photovoltaic board front and reverse side, and the detection scope is wide. The temperature sensor collects temperature data of the photovoltaic panel and the connector lug, and detects the temperature of the photovoltaic panel and the connector lug. And the communication module sends the temperature data to a remote server, and judges whether the temperature data of the photovoltaic panel and the connector lug are abnormal or not.
Further, the workbench further comprises a workbench driving motor, the workbench is rotatably arranged on the telescopic rod, the workbench driving motor is arranged on the telescopic rod, the workbench driving motor drives the workbench to rotate relative to the telescopic rod, and the workbench driving motor is connected with the controller.
When detecting, when the manipulator forearm rotates, the controller controls the workbench driving motor to drive the workbench to rotate relative to the telescopic rod on the manipulator forearm, the camera and the temperature sensor on the workbench collect visible light images and temperature data of different angles on the front side and the back side of the photovoltaic panel, the detection range is wide, the accurate position of the detected fault assembly is conveniently uploaded to the remote server, and an maintainer catches up to the site according to the accurate position of the photovoltaic panel collected by the visible light image, so that the photovoltaic panel is overhauled.
The embodiment also comprises an intelligent guarantee method of the unmanned photovoltaic power station, which is based on the intelligent guarantee system of the unmanned photovoltaic power station and comprises the following steps: the controller periodically acquires temperature data of each photovoltaic panel and the connector lug, judges whether the temperature data are abnormal, and sends the abnormal data to the remote server. The temperature data of each photovoltaic panel and connector lug are periodically obtained, so that the inspection system can monitor the working condition of the photovoltaic panel in real time, faults can be found timely, and the fault components can be prevented from affecting the work of other components.
Further, the method for judging whether the temperature data is abnormal is as follows: setting a preset threshold value, and if the temperatures of the photovoltaic panel and the connector lug exceed the preset value, judging that the temperatures of the photovoltaic panel and the connector lug are abnormal; if the temperature of the photovoltaic panel and the connector lug does not exceed the preset value and the rising rate exceeds the preset rate threshold, judging that the temperature of the photovoltaic panel and the connector lug is abnormal; and comparing the temperature of the photovoltaic plate and the connector lug with abnormal data in a wavy manner according to the temperature curve of the photovoltaic plate and the connector lug acquired by the controller in the time set T, and judging that the temperature of the photovoltaic plate and the connector lug is abnormal if the temperature of the photovoltaic plate and the connector lug is consistent with the abnormal data.
Further, after the temperature data of the photovoltaic panel and the connector lug are judged to be abnormal, the remote server sends out an alarm prompt.
After the communication module sends the collected visible light images and temperature data of the front side and the back side of the photovoltaic panel to the remote server, the remote server judges whether each photovoltaic panel and the wiring lug are abnormal according to the collected temperature data, and if the photovoltaic panel and the wiring lug are judged to be abnormal in temperature data, the remote server gives an alarm to an maintainer to prompt the maintainer that the photovoltaic panel is faulty, and timely overhauls. In addition, maintenance personnel can find the accurate position of trouble photovoltaic board according to the visible light image that the system gathered, improves maintenance efficiency, avoids influencing the operation of other subassemblies, reduces the risk that influences photovoltaic power plant safe operation.
Further, the intelligent guarantee method of the unmanned photovoltaic power station further comprises the following steps: setting a preset threshold value, periodically acquiring the voltage of each photovoltaic panel by the controller, and judging that the photovoltaic panel is abnormal if the difference value between the acquired voltage and the voltage acquired in the previous period exceeds the preset threshold value. The method for periodically acquiring the voltage of each photovoltaic panel by the controller comprises the following steps: temperature data of each photovoltaic panel and the connector lug are obtained, and the calculation formula of the voltage of each photovoltaic panel is as follows: u=k×t, where U is the voltage of each photovoltaic panel, T is the temperature data of each photovoltaic panel and the connector lug, and k is a preset coefficient smaller than 0. After the photovoltaic panel is judged to be abnormal, the remote server sends out an alarm prompt to remind an maintainer of timely reaching the site to overhaul the photovoltaic panel.
In order to further accurately judge whether the temperature data of the photovoltaic panels and the connector lug are abnormal, the controller periodically acquires the voltage of each photovoltaic panel, so that the situation that whether the photovoltaic panels are in failure or not is judged only from a single angle of the temperatures of the photovoltaic panels and the connector lug is avoided, and the detection accuracy is improved.
By adopting the intelligent guarantee method and the intelligent guarantee system for the unmanned photovoltaic power station, the mechanical arm is arranged on the cleaning robot, and when the intelligent guarantee system is in operation, the mechanical arm drives the camera and the temperature sensor to respectively collect visible light images and temperature data of the front surface and the back surface of the photovoltaic panel, so that the intelligent guarantee method and the intelligent guarantee system for the unmanned photovoltaic power station are wide in detection range and accurate in position. The intelligent guarantee system of the unattended photovoltaic power station judges whether the photovoltaic panel breaks down or not by acquiring the temperature data of each photovoltaic panel and the connector lug or periodically acquiring the voltage of each photovoltaic panel, the judging method for the faults of the photovoltaic panel is more scientific, the efficiency of detecting the faults of the photovoltaic panel by the system is improved, the maintainer is prompted to solve the faults in time, the operation of other components is avoided, and the risk that the fault photovoltaic panel affects the safe operation of the photovoltaic power station is reduced. The mechanical arm is arranged on the cleaning robot, and detects whether the photovoltaic panel breaks down or not when cleaning the photovoltaic panel, so that errors caused by the fact that the photovoltaic panel breaks down through image recognition and judgment are reduced, and the efficiency and accuracy of the photovoltaic panel fault detection are improved.

Claims (10)

1. An intelligent guarantee system of an unmanned photovoltaic power station is used for inspection of the photovoltaic power station comprising a cleaning robot, and is characterized in that,
comprises a mounting seat, a mechanical arm, a camera, a workbench, a temperature sensor, a communication module and a controller,
the mounting seat is fixedly arranged on the cleaning robot, the mechanical arm is arranged on the mounting seat,
the camera and the temperature sensor are both arranged on the workbench, the workbench is arranged on the mechanical arm, the camera, the temperature sensor and the communication module are all connected with the controller, the communication module is connected with a remote server,
the mechanical arm drives the camera to collect visible light images on the front side and the back side of the photovoltaic panel, and the temperature sensor collects the temperatures of the photovoltaic panel and the connector lug.
2. The unmanned photovoltaic power station inspection system according to claim 1, wherein the mechanical arm comprises a mechanical arm big arm and a mechanical arm small arm, the mechanical arm big arm is rotatably connected with the mounting seat, a first driving motor is arranged on the mounting seat and drives the mechanical arm big arm to rotate, the mechanical arm small arm is rotatably connected with the mechanical arm big arm, and the first driving motor is connected with the controller.
3. The unmanned photovoltaic power station inspection system according to claim 2, wherein the small arm of the manipulator comprises a telescopic rod and a second driving motor, one end of the telescopic rod is connected with the workbench, the other end of the telescopic rod is rotatably connected with the large arm of the manipulator through the second driving motor, the second driving motor is installed on the large arm of the manipulator, the second driving motor drives the telescopic rod to rotate relative to the large arm of the manipulator, and the second driving motor and the control end of the telescopic rod are connected with the controller.
4. An unattended photovoltaic power station inspection system according to claim 3, wherein the workbench further comprises a workbench drive motor rotatably mounted on the telescopic rod, the workbench drive motor is mounted on the telescopic rod, the workbench drive motor drives the workbench to rotate relative to the telescopic rod, and the workbench drive motor is connected with the controller.
5. An intelligent guarantee method for an unmanned photovoltaic power station based on the intelligent guarantee system for the unmanned photovoltaic power station according to any one of claims 1-4, wherein the controller periodically acquires temperature data of each photovoltaic panel and each connector lug, judges whether the temperature data are abnormal, and if the temperature data are abnormal, sends abnormal data to the remote server.
6. The intelligent guarantee method for the unattended photovoltaic power station according to claim 5, wherein the method for judging whether the temperature data is abnormal is as follows: setting a preset threshold, and if the temperature of the photovoltaic panel and the connector lug exceeds the preset threshold, the temperature of the photovoltaic panel and the connector lug is abnormal; and if the temperature of the photovoltaic panel and the connector lug does not exceed the preset threshold value and the rising rate exceeds the preset rate threshold value, judging that the temperature of the photovoltaic panel and the connector lug is abnormal.
7. The intelligent assurance method of an unattended photovoltaic power station according to claim 6, wherein the method of judging whether the temperature data is abnormal further comprises: and the controller acquires that the temperature curves of the photovoltaic panel and the connector lug are wavy in the time set T, compares the temperatures of the photovoltaic panel and the connector lug with the abnormal data, and judges that the temperatures of the photovoltaic panel and the connector lug are abnormal if the temperature data of the photovoltaic panel and the connector lug are consistent with the abnormal data.
8. The intelligent guarantee method of the unmanned photovoltaic power station according to any one of claims 5 to 7, wherein the remote server sends out an alarm prompt after determining that the temperature data of the photovoltaic panel and the connector lug are abnormal.
9. The intelligent assurance method of an unattended photovoltaic power station according to claim 5, further comprising: and setting a preset threshold value, periodically acquiring the voltage of each photovoltaic panel by the controller, and judging that the photovoltaic panel is abnormal if the difference value between the acquired voltage and the voltage acquired in the previous period exceeds the preset threshold value.
10. The intelligent assurance method of an unattended photovoltaic power station according to claim 9, wherein the method of periodically acquiring the voltage of each photovoltaic panel by the controller comprises:
temperature data of each photovoltaic panel and the connector lug are obtained,
the calculation formula of the voltage of each photovoltaic panel is as follows: u=k×t, where U is the voltage of each photovoltaic panel, T is the temperature data of each photovoltaic panel and the connector lug, and k is a preset coefficient smaller than 0.
CN202310062045.0A 2023-01-18 2023-01-18 Intelligent guarantee method and system for unmanned photovoltaic power station Pending CN116094459A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116865671A (en) * 2023-09-01 2023-10-10 湖州丽天智能科技有限公司 Photovoltaic power station operation and maintenance management method and inspection robot

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116865671A (en) * 2023-09-01 2023-10-10 湖州丽天智能科技有限公司 Photovoltaic power station operation and maintenance management method and inspection robot
CN116865671B (en) * 2023-09-01 2024-01-26 湖州丽天智能科技有限公司 Photovoltaic power station operation and maintenance management method and inspection robot

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