Photovoltaic power station environment monitoring and intelligent operation system and method

Abstract

The invention discloses a photovoltaic power station environment monitoring and intelligent operation system and method. The system comprises a sensor module, a cloud platform data processing module and an intelligent control module. The sensor module comprises an illumination intensity sensor array, an assembly backboard temperature sensor, an infrared thermal imager, a surface dust monitoring probe and a current and voltage acquisition circuit which are arranged on the surface of the photovoltaic assembly; the illumination intensity sensor array, the assembly backboard temperature sensor, the infrared thermal imager, the surface dust monitoring probe and the current and voltage acquisition circuit are connected with the input end of the cloud platform data processing module, and the output end of the cloud platform data processing module is connected with the intelligent control module. And the operation efficiency and safety of the photovoltaic power station are ensured.

Description

Technical Field

[0001] This invention belongs to the field of photovoltaic power plant environmental monitoring and intelligent operation system, and relates to a photovoltaic power plant environmental monitoring and intelligent operation system and method. Background Technology

[0002] Photovoltaic power plants, with their advantages of being pollution-free, sustainable, and having low operating costs, have become a major force in the global clean energy transition. As of 2023, China's installed photovoltaic capacity accounted for 45% of the global total, with typical power plants generating over 150 million kilowatt-hours of electricity annually, resulting in significant carbon emission reduction. However, as the scale of photovoltaic power plants continues to expand, the impact of natural environmental factors such as weather has intensified, exposing obvious problems with traditional power plant operation models: because they generally use sparse fixed sensors, they cannot accurately sense dynamic parameters of the components, such as local hot spots and dust accumulation, leading to monitoring blind spots; manual inspection cycles are long and fault response is delayed, resulting in large annual power generation losses. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a photovoltaic power plant environmental monitoring and intelligent operation system and method. This system and method can improve the power generation efficiency of photovoltaic panels and ensure the operation efficiency and safety of photovoltaic power plants.

[0004] To achieve the above objectives, this invention discloses a photovoltaic power plant environmental monitoring and intelligent operation system, including a sensor module, a cloud platform data processing module, and an intelligent control module; The sensor module includes a light intensity sensor array, a module backsheet temperature sensor, an infrared thermal imager, a surface dust monitoring probe, and a current and voltage acquisition circuit, all disposed on the surface of the photovoltaic module. The light intensity sensor array, module backsheet temperature sensor, infrared thermal imager, surface dust monitoring probe, and current and voltage acquisition circuit are connected to the input terminal of the cloud platform data processing module, and the output terminal of the cloud platform data processing module is connected to the intelligent control module.

[0005] A further improvement of the photovoltaic power plant environmental monitoring and intelligent operation system of the present invention is as follows: Furthermore, the light intensity sensor array, component backplane temperature sensor, infrared thermal imager, surface dust monitoring probe, and current and voltage acquisition circuit are connected to the input terminal of the cloud platform data processing module via a wireless communication module.

[0006] Furthermore, the cloud platform data processing module includes a power generation efficiency prediction unit for predicting the power generation efficiency of photovoltaic modules, a module abnormal operating condition identification unit for determining whether photovoltaic modules are operating normally, and an operation strategy generation unit for controlling photovoltaic modules.

[0007] Furthermore, the intelligent control module includes an electric tracking bracket and an intelligent inverter group, wherein the output terminal of the operation strategy generation unit is connected to the electric tracking bracket and the intelligent inverter group.

[0008] Furthermore, the electric tracking bracket drives the azimuth and pitch angles of the photovoltaic module via a motor, wherein the azimuth adjustment range is -45° to 45° and the pitch adjustment range is 15° to 85°.

[0009] Furthermore, it also includes a local storage and emergency control module connected to the cloud platform data processing module.

[0010] Furthermore, it also includes a remote monitoring terminal, which is connected to the cloud platform data processing module.

[0011] This invention discloses a method for environmental monitoring and intelligent operation of a photovoltaic power plant, comprising: Acquire information on the light intensity, backsheet temperature, thermal imaging, surface dust concentration, current, and voltage of the photovoltaic module surface; The local temperature difference on the surface of the photovoltaic module is determined based on the thermal imaging spectrum. When the local temperature difference is greater than or equal to the temperature difference warning threshold, an alarm signal is issued. An alarm signal is issued when the surface ash concentration is greater than or equal to the ash concentration. The power generation efficiency for the next period of time is predicted by using the light intensity, temperature information of the component backsheet, current information, and voltage information. Adjust the angle of the photovoltaic panels according to the current light intensity and time to maximize their power generation efficiency.

[0012] A further improvement of the photovoltaic power plant environmental monitoring and intelligent operation method described in this invention lies in: Furthermore, it also includes: smart inverters that control the power generation efficiency of photovoltaic modules based on predictions for the next period of time.

[0013] Furthermore, based on the current light intensity and time, the azimuth and pitch angles of the photovoltaic panels are adjusted by the electric tracking bracket to maximize the power generation efficiency of the photovoltaic panels.

[0014] The present invention has the following beneficial effects: In specific operation, the photovoltaic power plant environmental monitoring and intelligent operation system and method of the present invention collects real-time data from the photovoltaic modules through a light intensity sensor array, a module backsheet temperature sensor, an infrared thermal imager, a surface dust monitoring probe, and a current and voltage acquisition circuit. The system monitors the operating status of the photovoltaic modules and controls them to maximize power generation efficiency, reduce equipment losses, and significantly improve the safety and operating efficiency of the photovoltaic power plant. Attached Figure Description

[0015] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a system structure diagram of the present invention; Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0018] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0019] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0020] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0021] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0023] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0024] Example 1 refer to Figure 1 The photovoltaic power plant environmental monitoring and intelligent operation system of the present invention includes a sensor module, a wireless communication module, a cloud platform data processing module, an intelligent control module, and a local storage and emergency control module. The sensor module includes a light intensity sensor array, a module backsheet temperature sensor, an infrared thermal imager, a surface dust monitoring probe, and a current and voltage acquisition circuit, all mounted on the surface of the photovoltaic module. The sensor module is used to collect environmental parameters and equipment operation data of the photovoltaic power station in real time.

[0025] The wireless communication module uploads the data collected by the sensor module to the cloud platform data processing module via a multi-mode communication protocol.

[0026] The cloud platform data processing module includes a power generation efficiency prediction unit, a component abnormal operating condition identification unit, and an operation strategy generation unit, which generates control commands based on the real-time data and historical data.

[0027] The intelligent control module includes an electric tracking bracket and an intelligent inverter group. It executes the control commands issued by the cloud platform data processing module and provides feedback on the execution status, while also providing cleaning information to the staff.

[0028] The local storage and emergency control module is deployed on the industrial controller at the power plant site, and maintains the basic control functions of the equipment for a preset period when the network is interrupted.

[0029] In this embodiment, the light intensity sensor is arranged on the component frame, and the infrared thermal imager is mounted on the support beam at a top-down angle.

[0030] In this embodiment, the light intensity sensor is a multispectral irradiance sensor with a measurement range covering the 200~1100nm band; the component backplane temperature sensor adopts distributed fiber optic temperature measurement technology with a spatial resolution of 0.5m×0.5m; and the current and voltage acquisition circuit includes a voltage transformer, a Hall current sensor, and an insulation resistance detection circuit.

[0031] In this embodiment, the wireless communication module supports 4G, 5G and LoRa multi-mode communication protocols, and the communication data adopts an encryption algorithm. It connects to the sensor through an RS485 bus and uploads data to the cloud every 5 minutes.

[0032] In this embodiment, the power generation efficiency prediction unit uses a machine learning model to generate a future power generation efficiency prediction curve based on historical and real-time data.

[0033] In this embodiment, the component abnormal operating condition identification unit determines abnormal hot spot areas, microcrack faults, and dust accumulation overload abnormalities by comparing the component temperature field distribution map with preset thresholds. Specifically, data is collected at 1-minute intervals, and a 72-hour power generation efficiency prediction model is established based on historical 24-hour irradiance, component temperature curves, and ambient humidity. Temperature difference warning thresholds are set in conjunction with thermal imaging analysis (local temperature difference >5℃ triggers a Level 1 warning, >10℃ triggers a Level 2 warning, and >15℃ triggers a Level 3 shutdown command). Additionally, when the dust concentration is >180 mg / m² for 3 consecutive hours, feedback information is automatically generated, and the pollution level is marked on the monitoring interface (red: >250 mg / m²; yellow: 180-250 mg / m²), with cleaning priorities sorted according to power generation loss rate.

[0034] In this embodiment, the operation strategy generation unit outputs component tilt angle adjustment commands, cleaning trigger feedback signals, and inverter optimization parameter signals based on prediction results and fault identification information.

[0035] In this embodiment, the electric tracking bracket drives the azimuth and pitch angles of the components via a motor. Specifically, the azimuth angle is adjustable within a range of ±45°, and the pitch angle is 15°~85°. The intelligent inverter cluster has a response time of <200ms. The component angle and power output are adjusted in real time according to cloud instructions. On sunny days, the adjustment is made by ±2° of the maximum irradiance angle, and on cloudy days, the smooth fluctuation amplitude is ≤5%.

[0036] In this embodiment, the local storage and emergency control module stores the operating strategy data for the past 7 days and automatically switches to local control mode when a network interruption is detected. In this embodiment, a remote monitoring terminal is also included, which is used to display the power plant's operating status in real time and receive alarm information.

[0037] In this embodiment, the remote monitoring terminal includes a web terminal and a mobile APP terminal.

[0038] Example 2 refer to Figure 2 The photovoltaic power plant environmental monitoring and intelligent operation method of the present invention includes the following steps: Acquire information on the light intensity, backsheet temperature, thermal imaging, surface dust concentration, current, and voltage of the photovoltaic module surface; The local temperature difference on the surface of the photovoltaic module is determined based on the thermal imaging spectrum. When the local temperature difference is greater than or equal to the temperature difference warning threshold, an alarm signal is issued. An alarm signal is issued when the surface ash concentration is greater than or equal to the ash concentration. The system uses the light intensity, component backplane temperature information, current information, and voltage information to predict the power generation efficiency for the next period of time through a power generation efficiency prediction module. In addition, the angle of the photovoltaic panels can be adjusted according to the current light intensity and time to maximize the power generation efficiency of the photovoltaic panels.

[0039] It should be noted that this invention integrates IoT multi-source sensing, edge intelligence, and digital twin closed-loop control system, which specifically addresses industry pain points, significantly improves photovoltaic power generation efficiency, and ensures the operational efficiency and safety of photovoltaic power plants.

[0040] Example 3 A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a photovoltaic power station environmental monitoring and intelligent operation method. For example, the method includes: acquiring light intensity information, backsheet temperature information, thermal imaging data, surface dust concentration, current information, and voltage information of the photovoltaic module surface; determining the local temperature difference on the photovoltaic module surface based on the thermal imaging data; issuing an alarm signal when the local temperature difference is greater than or equal to a temperature difference warning threshold; issuing an alarm signal when the surface dust concentration is greater than or equal to the dust accumulation concentration; predicting the power generation efficiency for the next period of time using the light intensity, backsheet temperature information, current information, and voltage information through a power generation efficiency prediction module; and adjusting the angle of the photovoltaic panel based on the current light intensity and time to maximize the power generation efficiency of the photovoltaic panel. The memory may include main memory, such as high-speed random access memory (RAM), or non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which may be an industry-standard architecture bus, a peripheral component interconnection standard bus, or an extended industry-standard architecture bus. The bus can be categorized as an address bus, data bus, or control bus. The memory stores programs; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0041] Example 4 A computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of a photovoltaic power station environmental monitoring and intelligent operation method. For example, the method includes: acquiring light intensity information, backsheet temperature information, thermal imaging data, surface dust concentration, current information, and voltage information of the photovoltaic module surface; determining the local temperature difference on the photovoltaic module surface based on the thermal imaging data, and issuing an alarm signal when the local temperature difference is greater than or equal to a temperature difference warning threshold; issuing an alarm signal when the surface dust concentration is greater than or equal to the dust accumulation concentration; predicting the power generation efficiency for the next period of time using the light intensity, backsheet temperature information, current information, and voltage information through a power generation efficiency prediction module; and adjusting the angle of the photovoltaic panel based on the current light intensity and time to maximize the power generation efficiency of the photovoltaic panel. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0042] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0043] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0044] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0045] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0046] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0047] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0048] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A photovoltaic power plant environmental monitoring and intelligent operation system, characterized in that, Includes sensor modules, cloud platform data processing modules, and intelligent control modules; The sensor module includes a light intensity sensor array, a module backsheet temperature sensor, an infrared thermal imager, a surface dust monitoring probe, and a current and voltage acquisition circuit, all disposed on the surface of the photovoltaic module. The light intensity sensor array, module backsheet temperature sensor, infrared thermal imager, surface dust monitoring probe, and current and voltage acquisition circuit are connected to the input terminal of the cloud platform data processing module, and the output terminal of the cloud platform data processing module is connected to the intelligent control module.

2. The photovoltaic power plant environmental monitoring and intelligent operation system according to claim 1, characterized in that, The light intensity sensor array, component backplane temperature sensor, infrared thermal imager, surface dust monitoring probe, and current and voltage acquisition circuit are connected to the input terminal of the cloud platform data processing module via a wireless communication module.

3. The photovoltaic power plant environmental monitoring and intelligent operation system according to claim 1, characterized in that, The cloud platform data processing module includes a power generation efficiency prediction unit for predicting the power generation efficiency of photovoltaic modules, a module abnormal operating condition identification unit for determining whether the photovoltaic modules are operating normally, and an operation strategy generation unit for controlling the photovoltaic modules.

4. The photovoltaic power plant environmental monitoring and intelligent operation system according to claim 3, characterized in that, The intelligent control module includes an electric tracking bracket and an intelligent inverter group, wherein the output terminal of the operation strategy generation unit is connected to the electric tracking bracket and the intelligent inverter group.

5. The photovoltaic power plant environmental monitoring and intelligent operation system according to claim 4, characterized in that, The electric tracking bracket drives the azimuth and pitch angles of the photovoltaic module via a motor. The azimuth angle can be adjusted from -45° to 45°, and the pitch angle can be adjusted from 15° to 85°.

6. The photovoltaic power plant environmental monitoring and intelligent operation system according to claim 4, characterized in that, It also includes a local storage and emergency control module connected to the cloud platform data processing module.

7. The photovoltaic power plant environmental monitoring and intelligent operation system according to claim 1, characterized in that, It also includes a remote monitoring terminal, which is connected to the cloud platform data processing module.

8. A method for environmental monitoring and intelligent operation of a photovoltaic power plant, characterized in that, include: Acquire information on the light intensity, backsheet temperature, thermal imaging, surface dust concentration, current, and voltage of the photovoltaic module surface; The local temperature difference on the surface of the photovoltaic module is determined based on the thermal imaging spectrum. When the local temperature difference is greater than or equal to the temperature difference warning threshold, an alarm signal is issued. An alarm signal is issued when the surface ash concentration is greater than or equal to the ash concentration. The power generation efficiency for the next period of time is predicted by using the light intensity, temperature information of the component backsheet, current information, and voltage information. Adjust the angle of the photovoltaic panels according to the current light intensity and time to maximize their power generation efficiency.

9. The method for environmental monitoring and intelligent operation of a photovoltaic power station according to claim 8, characterized in that, Also includes: A smart inverter that controls the power generation efficiency of photovoltaic modules based on the predicted power generation efficiency for the next period of time.

10. The method for environmental monitoring and intelligent operation of a photovoltaic power plant according to claim 8, characterized in that, Based on the current light intensity and time, the azimuth and pitch angles of the photovoltaic panels are adjusted by the electric tracking bracket to maximize the power generation efficiency of the photovoltaic panels.

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