Monitoring method and system of solar photovoltaic power generation panel

Abstract

The invention discloses a solar photovoltaic power generation panel monitoring method and system. The method comprises the following steps: collecting temperature data of each solar photovoltaic power generation panel; if the temperature data exceeds a preset high-temperature threshold value or is lower than a preset low-temperature threshold value, position information of the solar photovoltaic power generation panel corresponding to the temperature data is determined; and if the temperature data exceeds a preset high-temperature threshold value, first abnormal early warning information is sent to a monitoring center according to the position information, so that the monitoring center controls heat dissipation equipment to dissipate heat of the solar photovoltaic power generation panel corresponding to the temperature data exceeding the preset high-temperature threshold value. According to the embodiment of the invention, temperature data can be acquired in real time and intelligently analyzed and processed, and abnormal conditions can be timely identified and responded, so that the reliability and safety of photovoltaic power generation are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic power generation, and in particular to a monitoring method and system for solar photovoltaic power generation panels. Background Art

[0002] Photovoltaic Power Generation (PVG) technology is a renewable energy technology that uses the photoelectric effect of semiconductor materials to directly convert solar radiation into electrical energy. With the increasing global demand for renewable energy, PV power generation, as a clean and environmentally friendly energy solution, has received more and more attention and application.

[0003] In the solar photovoltaic power generation system, photovoltaic panels are core components, and their performance is directly related to the power generation efficiency and economy of the entire system. However, during the operation of photovoltaic panels, they may be affected by ambient temperature, light intensity, humidity and other factors, and their efficiency may decrease or be damaged. Especially in high temperature environments, the working efficiency of photovoltaic panels may be significantly reduced, and even lead to problems such as material aging and component failure. Therefore, real-time monitoring of the operating status of photovoltaic panels and timely detection and handling of potential faults or abnormalities are the key to ensuring the efficient and stable operation of photovoltaic power generation systems. At present, traditional photovoltaic panel monitoring methods mainly rely on manual inspections and regular inspections, which is not only inefficient, but also unable to achieve real-time monitoring of the operating status of photovoltaic panels. Summary of the invention

[0004] The purpose of the present invention is to provide a monitoring method and system for solar photovoltaic panels to address the deficiencies in the prior art. The system can collect temperature data in real time and perform intelligent analysis and processing to promptly identify and respond to abnormal situations, thereby improving the reliability and safety of photovoltaic power generation.

[0005] An embodiment of the present application provides a method for monitoring a solar photovoltaic panel, the method comprising: Collect temperature data of each solar photovoltaic panel; If the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold, determining the location information of the solar photovoltaic power generation panel corresponding to the temperature data; If the temperature data exceeds a preset high temperature threshold, a first abnormal warning message is sent to a monitoring center based on the location information, so that the monitoring center controls the heat dissipation device to dissipate heat for the solar photovoltaic panels corresponding to the temperature data exceeding the preset high temperature threshold.

[0006] Optionally, the method further includes: If the temperature data is lower than a preset low temperature threshold, a second abnormal warning message is sent to a monitoring center according to the location information.

[0007] Optionally, the method further includes: Collect other operating parameter data of each solar photovoltaic panel except temperature data; According to the temperature data and the other operating parameter data, an operating stability index representing the comprehensive operating stability of each solar photovoltaic power generation panel is calculated to comprehensively monitor the solar photovoltaic power generation panels.

[0008] Optionally, the calculation formula of the operation stability index is: ; Among them, the is the operation stability index, is the current output power, is the historical average output power, is the current temperature data, For the best working temperature, the is the temperature standard deviation, is the current data, is the rated current of the photovoltaic panel, is the current voltage data, is the rated voltage of the photovoltaic panel, is the current humidity data, , , , , is the corresponding weight coefficient.

[0009] Another embodiment of the present application provides a monitoring system for a solar photovoltaic panel, the system comprising: The first acquisition module is used to collect temperature data of each solar photovoltaic power generation panel; A determination module, used to determine the location information of the solar photovoltaic power generation panel corresponding to the temperature data if the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold; The first monitoring module is used to send a first abnormal warning information to the monitoring center according to the location information if the temperature data exceeds a preset high temperature threshold, so that the monitoring center controls the heat dissipation equipment to dissipate heat for the solar photovoltaic panel corresponding to the temperature data exceeding the preset high temperature threshold.

[0010] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0011] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0012] Compared with the prior art, the present invention provides a monitoring method for solar photovoltaic panels, which collects temperature data of each solar photovoltaic panel; if the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold, determines the position information of the solar photovoltaic panel corresponding to the temperature data; if the temperature data exceeds the preset high temperature threshold, sends a first abnormal warning message to a monitoring center according to the position information, so that the monitoring center controls the heat dissipation device to dissipate the heat of the solar photovoltaic panel corresponding to the temperature data exceeding the preset high temperature threshold, thereby being able to timely identify and respond to abnormal situations by real-time collection of temperature data and intelligent analysis and processing, so as to improve the reliability and safety of photovoltaic power generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A hardware structure block diagram of a computer terminal for a method for monitoring a solar photovoltaic power generation panel provided by an embodiment of the present invention; Figure 2 A schematic diagram of a process flow of a method for monitoring a solar photovoltaic panel provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of a monitoring system for a solar photovoltaic panel provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0015] The embodiment of the present invention first provides a method for monitoring a solar photovoltaic panel. The method can be applied to electronic devices such as computer terminals, specifically ordinary computers, etc.

[0016] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of a solar photovoltaic panel monitoring method provided by an embodiment of the present invention. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0017] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the monitoring methods for solar photovoltaic panels.

[0018] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0019] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any method for monitoring a solar photovoltaic panel.

[0020] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0021] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be 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 components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0022] See also Figure 2 , an embodiment of the present invention provides a monitoring method for a solar photovoltaic panel, which may include the following steps: S201, collecting temperature data of each solar photovoltaic panel; The temperature data of each photovoltaic panel is collected in real time through the temperature sensors installed on each solar photovoltaic panel. These sensors can record temperature changes at a high frequency to ensure that the acquired temperature data is real-time and accurate. The sensor data can be transmitted to the central monitoring system via a wireless network to form a temperature monitoring network with extensive coverage. In addition, in order to ensure the accuracy and reliability of the data, a regular self-test and calibration mechanism can be set up to eliminate possible drift and measurement errors of the sensor. After signal processing, the real-time temperature value of each photovoltaic panel will be obtained, providing basic data support for subsequent abnormal detection and processing.

[0023] By systematically collecting temperature data of solar photovoltaic panels, it is possible to monitor the operating status of photovoltaic panels in real time and detect temperature anomalies in a timely manner. Temperature changes are a key factor affecting the efficiency and safety of photovoltaic power generation. Too high or too low temperatures will have a negative impact on the performance of photovoltaic panels. After obtaining temperature data in a timely manner, combined with the preset high and low temperature thresholds, it is possible to quickly determine whether there are abnormal conditions. This real-time monitoring mechanism not only improves the reliability of the photovoltaic power generation system, but also reduces the risk of equipment damage through effective temperature control measures, thereby ensuring the stable operation of the system and providing guarantees for the economy and sustainability of photovoltaic power generation.

[0024] In practical applications, wireless sensor network technology can be used to collect temperature data of photovoltaic panels. A group of high-precision digital temperature sensors are installed on each solar photovoltaic panel. The sensors collect data according to the actual temperature changes, and the data is sent to the central monitoring server in real time through the wireless module. On the server side, a data receiving and storage module is set up to analyze the received temperature data in real time. In order to ensure the integrity of monitoring, the system will correct and process the temperature data of different sensors through data fusion technology to eliminate the influence of errors and noise. At the same time, other environmental parameters (such as light intensity, humidity, etc.) can be combined to improve the overall framework of data collection and enhance the intelligence level of the monitoring system. On this basis, the monitoring system can also continuously adjust the threshold strategy through learning and optimization to adapt to the actual operation of photovoltaic panels in different environments.

[0025] S202, if the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold, determining the location information of the solar photovoltaic power generation panel corresponding to the temperature data; In the monitoring method of the present invention, once it is detected that the temperature data of a solar photovoltaic panel exceeds the preset high temperature threshold or is lower than the low temperature threshold, the system will immediately identify and determine the location information of the photovoltaic panel corresponding to the temperature data. In order to achieve this goal, the monitoring system is configured with a unique identifier (such as a serial number or RFID tag) on ​​each photovoltaic panel and associated with its physical location. The location information can be managed through a geographic information system (GIS) and integrated into a central monitoring platform. When the temperature data exceeds the set range, the system can quickly retrieve the location information of the photovoltaic panel to ensure that subsequent abnormal handling work can quickly and accurately locate the problematic equipment. This intelligent location information determination mechanism greatly improves the efficiency of fault response and reduces the possibility of misoperation.

[0026] Determining the location information of photovoltaic panels is of great significance for timely response to temperature anomalies. Temperature data exceeding the preset high or low temperature thresholds may seriously affect the efficiency of photovoltaic power generation and even cause equipment damage. In the event of temperature anomalies, accurate location information can guide the monitoring center to take prompt action to locate the problem equipment and take effective measures, such as starting heat dissipation equipment or dispatching maintenance personnel. Through rapid and accurate response, the economic losses caused by temperature anomalies can be minimized to ensure the stable operation of the photovoltaic power generation system. In turn, this method improves the intelligence level of photovoltaic power generation systems, making them more adaptable and flexible, and provides strong support for the overall management of power plants.

[0027] In terms of specific implementation, an integrated monitoring system can be used. Temperature sensors and location identification devices (such as GPS modules or RFID tags) are installed on each solar photovoltaic panel, and the data is transmitted to the central monitoring platform through a wireless network. When the system is set up, the location information of each photovoltaic panel is entered into the monitoring database and associated with its sensor data. When the monitoring system receives the temperature data in real time, it first makes a threshold judgment; if the temperature data exceeds the set range, the system will automatically call the location information in the database and identify the corresponding photovoltaic panel. At this time, the monitoring platform will generate an automated alarm and display the location information of the device, so that the technicians can quickly take corresponding measures to deal with it. At the same time, the system can record the time and location of abnormal events, provide data support for subsequent analysis and maintenance, and continuously optimize the management and monitoring processes.

[0028] S203, if the temperature data exceeds a preset high temperature threshold, a first abnormal warning message is sent to a monitoring center according to the location information, so that the monitoring center controls the heat dissipation device to dissipate heat for the solar photovoltaic panels corresponding to the temperature data exceeding the preset high temperature threshold.

[0029] In the monitoring method of the present invention, when it is detected that the temperature data of a certain solar photovoltaic power generation panel exceeds the preset high temperature threshold, the system will immediately use the location information of the photovoltaic panel to actively generate and send the first abnormal warning information (indicating high temperature abnormal warning) to the monitoring center. This process involves real-time analysis of temperature data and threshold comparison. Once it is confirmed that the temperature exceeds the standard, the system will push the warning information to the monitoring center through the established communication network (such as wireless communication protocol or Internet of Things platform). The information contains the specific location, current temperature value and other relevant parameters of the over-temperature photovoltaic power generation panel so that the monitoring center can respond in time. At the same time, after receiving the warning information, the monitoring center will automatically start the heat dissipation equipment (such as fans, cooling systems, etc.) associated with the photovoltaic panel according to the preset control strategy to quickly dissipate heat, realize remote preliminary control of the abnormal high temperature on the back of the photovoltaic panel, buy a certain amount of time for maintenance personnel, and effectively protect the service life of the photovoltaic panel and the light conversion efficiency from being easily damaged.

[0030] Sending the first abnormal warning information and starting the heat dissipation equipment in time play a vital role in the operation and management of photovoltaic panels. When photovoltaic panels work under high temperature, not only will their power generation efficiency drop significantly, but they may also cause serious problems such as component aging and thermal runaway, and even cause equipment damage or safety hazards. Therefore, real-time monitoring and rapid handling of over-temperature conditions can maximize the stability and safety of photovoltaic power generation systems. Through the intelligent abnormal warning mechanism, it can respond quickly to avoid the impact of long-term high temperature on equipment, thereby improving the overall economic benefits and reliability of photovoltaic power generation, while reducing operation and maintenance costs.

[0031] In the specific implementation, an integrated sensor monitoring system and a central control platform can be used. The temperature sensors installed on the photovoltaic panels continuously collect real-time temperature data and analyze it. When the temperature exceeds the set high temperature threshold, the monitoring device will automatically trigger the mechanism to generate early warning information and send the information to the monitoring center through a wireless communication module (such as a cellular network or Wi-Fi). After the monitoring center receives the early warning information using the system's control interface, it automatically determines the heat dissipation equipment (such as a fan or a water cooling system) that needs to be started based on the location information and real-time data of the photovoltaic panels. Operators can also view the real-time status and control the operation of the heat dissipation equipment through the monitoring system interface to ensure that the high-temperature photovoltaic panels are cooled to a safe range in a short time to ensure the efficient and safe operation of the entire photovoltaic power generation system.

[0032] Furthermore, if the temperature data is lower than a preset low temperature threshold, a second abnormal warning message is sent to a monitoring center according to the location information.

[0033] In the monitoring method of the present invention, if the temperature data of a solar photovoltaic panel collected by the monitoring system is lower than the preset low temperature threshold, the system will quickly identify and determine the location information of the photovoltaic panel corresponding to the temperature data. Subsequently, the system will automatically generate and send a second abnormal warning message (indicating a low temperature warning) to the monitoring center. The warning information not only contains temperature data, but also includes the specific location, current working status and other important parameters of the photovoltaic panel, so that the monitoring center can quickly understand the severity and specific circumstances of the problem. This process relies on a real-time data transmission system to ensure that the warning information can be delivered to the monitoring personnel at the fastest speed and with the most accurate content, thereby providing a basis for subsequent judgment and processing.

[0034] Sending the second abnormal warning information to the monitoring center is crucial for the effective management of photovoltaic panels. Photovoltaic panels working in low temperature environments may reduce their power generation efficiency and may even affect the long-term performance of the equipment and increase operational risks. Therefore, by timely identifying and notifying low temperature anomalies, appropriate measures can be taken immediately to protect photovoltaic panels and prevent potential damage. At the same time, this mechanism enables the monitoring center to implement preventive maintenance, determine the adaptability of the photovoltaic system under different environmental conditions, and make necessary adjustments and optimizations, which helps to ensure the overall stability and efficiency of the photovoltaic power generation system and improve the sustainability of the system.

[0035] In the specific implementation, the system will install temperature sensors on the photovoltaic panels and connect them to the central monitoring platform through a wireless network. The temperature sensor will collect temperature data in real time and conduct continuous monitoring. When the data is lower than the preset low temperature threshold, the system will automatically trigger an early warning generation module to obtain the location information of the photovoltaic panel and build the corresponding early warning information. Subsequently, this information is transmitted to the monitoring center via wireless communication. The control interface of the monitoring center will display the abnormal state and the corresponding location information in real time, so that the staff can promptly evaluate the situation and take appropriate measures, such as adjusting the power generation plan or arranging equipment inspections. In addition, the system can also provide improvement suggestions for operation in low temperature environments through historical data analysis to enhance the adaptability and efficiency of photovoltaic power generation.

[0036] Furthermore, other operating parameter data of each solar photovoltaic panel in addition to temperature data can also be collected; In this step, the monitoring system not only relies on temperature sensors, but also collects other operating parameter data of the photovoltaic panels, such as current output power, current and voltage. These data can provide important information about the performance of the photovoltaic panels and help the system to comprehensively evaluate the status of the equipment. By combining temperature and other operating parameters, the working condition and possible problems of the photovoltaic panels can be more accurately reflected.

[0037] By collecting other operating parameters besides temperature, the system can achieve comprehensive monitoring of photovoltaic panels and provide basic data for fault diagnosis and performance analysis. This comprehensive monitoring method helps operators to identify potential equipment problems in a timely manner and avoid the risk of misjudgment caused by a single indicator. Comprehensive data collection and analysis can also provide a scientific basis for subsequent operation optimization and maintenance decisions, thereby improving the economic benefits and operational reliability of photovoltaic power generation systems.

[0038] In actual implementation, the monitoring system will install a variety of sensors on each photovoltaic panel, such as current sensors, voltage sensors and power measurement devices, which are connected to the monitoring center. The system collects data such as temperature, power, current and voltage of each photovoltaic panel regularly or in real time, and integrates them into a database. By storing and analyzing this data, the monitoring platform can perform real-time monitoring and issue alarms in time when abnormalities are found, providing valuable information for operation and maintenance personnel to ensure the effective operation and safe management of the photovoltaic power generation system.

[0039] According to the temperature data and the other operating parameter data, an operating stability index representing the comprehensive operating stability of each solar photovoltaic power generation panel is calculated to comprehensively monitor the solar photovoltaic power generation panels.

[0040] The main task of this step is to use the collected temperature data and other operating parameters to calculate a comprehensive operating stability index (S) to evaluate the operating stability of the photovoltaic panels. By quantitatively analyzing various data such as temperature, power output and equipment performance, a comprehensive indicator reflecting the health and working efficiency of the system can be obtained.

[0041] The calculation of the operation stability index provides a quantitative basis for the monitoring of photovoltaic power generation systems, so that the evaluation of equipment status does not rely solely on a single parameter, but rather on comprehensive considerations of multiple dimensions. Such comprehensive monitoring can more accurately reflect the actual operation of the equipment, making it easier to detect faults or performance degradation in a timely manner. By monitoring the operation stability index, operators can optimize maintenance strategies, effectively reduce operating risks, and improve the overall efficiency and safety of photovoltaic power generation.

[0042] In the specific implementation, the system will input the real-time collected temperature, current, voltage and other data into the operation stability index calculation module. According to the pre-set formula, the system will calculate and generate a stability index (S) in real time. The index will be updated regularly and can be visualized on the monitoring platform. Operation and maintenance personnel can check this index regularly and take necessary measures to troubleshoot or maintain equipment in time according to the index's changing trend and warning value to maintain the optimal operation of the photovoltaic power generation system.

[0043] Specifically, a calculation formula for the operation stability index can be: ; The design and construction significance of this formula is to create a comprehensive evaluation index - the operating stability index (S) to quantify the overall working status and operating efficiency of solar photovoltaic panels. This index reflects the comprehensive performance of multiple key parameters, helping the monitoring system to better evaluate the health status of the equipment, thereby achieving accurate and efficient fault warning and maintenance decisions.

[0044] Among them, the is the operation stability index, is the current output power, The historical average output power is used to provide a benchmark value, so that the current output power can be compared with the previous performance, which helps to identify abnormal performance or downward trends. is the current temperature data, The optimal operating temperature defines the ideal operating temperature of the photovoltaic panel. The deviation from the current temperature can help determine whether it is in a safe working state. is the temperature standard deviation, which is used to quantify the fluctuation between the current temperature and the optimal operating temperature, and represents the degree of influence of temperature fluctuation on the performance of photovoltaic panels. is the current data, is the rated current of the photovoltaic panel, which is the design output standard of the equipment and is used to evaluate the efficiency and stability of the actual output. is the current voltage data, It is the rated voltage of the photovoltaic panel, representing the voltage target of the equipment during design, and is used to evaluate the voltage stability during actual operation. The humidity also affects the performance and power generation efficiency of photovoltaic panels, especially in high humidity environments, which may cause equipment performance degradation or failure. , , , , are the corresponding weight coefficients, which are used to adjust the influence of each parameter in the calculation, reflecting the relative importance of different parameters to the operational stability, and ensuring that the formula can truly reflect the status of the photovoltaic panel.

[0045] By comprehensively considering these parameters, the operation stability index can provide comprehensive monitoring and analysis of the performance of photovoltaic power generation systems, effectively supporting the management and optimization of power generation operations.

[0046] It can be seen that the temperature data of each solar photovoltaic panel is collected; if the temperature data exceeds the preset high temperature threshold or is lower than the preset low temperature threshold, the position information of the solar photovoltaic panel corresponding to the temperature data is determined; if the temperature data exceeds the preset high temperature threshold, according to the position information, the first abnormal warning information is sent to the monitoring center, so that the monitoring center controls the heat dissipation equipment to dissipate the heat of the solar photovoltaic panel corresponding to the temperature data exceeding the preset high temperature threshold, so that the temperature data can be collected in real time and intelligently analyzed and processed, and abnormal situations can be identified and responded to in time to improve the reliability and safety of photovoltaic power generation.

[0047] Another embodiment of the present invention provides a monitoring system for solar photovoltaic panels. Figure 3 , the system may include: The first acquisition module 301 is used to collect temperature data of each solar photovoltaic power generation panel; A determination module 302 is used to determine the location information of the solar photovoltaic power generation panel corresponding to the temperature data if the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold; The first monitoring module 303 is used to send a first abnormal warning message to the monitoring center according to the location information if the temperature data exceeds a preset high temperature threshold, so that the monitoring center can control the heat dissipation equipment to dissipate heat for the solar photovoltaic panel corresponding to the temperature data exceeding the preset high temperature threshold.

[0048] It can be seen that the temperature data of each solar photovoltaic panel is collected; if the temperature data exceeds the preset high temperature threshold or is lower than the preset low temperature threshold, the position information of the solar photovoltaic panel corresponding to the temperature data is determined; if the temperature data exceeds the preset high temperature threshold, according to the position information, the first abnormal warning information is sent to the monitoring center, so that the monitoring center controls the heat dissipation equipment to dissipate the heat of the solar photovoltaic panel corresponding to the temperature data exceeding the preset high temperature threshold, so that the temperature data can be collected in real time and intelligently analyzed and processed, and abnormal situations can be identified and responded to in time to improve the reliability and safety of photovoltaic power generation.

[0049] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0050] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, collecting temperature data of each solar photovoltaic panel; S202, if the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold, determining the location information of the solar photovoltaic power generation panel corresponding to the temperature data; S203, if the temperature data exceeds a preset high temperature threshold, a first abnormal warning message is sent to a monitoring center according to the location information, so that the monitoring center controls the heat dissipation device to dissipate heat for the solar photovoltaic panels corresponding to the temperature data exceeding the preset high temperature threshold.

[0051] It can be seen that the temperature data of each solar photovoltaic panel is collected; if the temperature data exceeds the preset high temperature threshold or is lower than the preset low temperature threshold, the position information of the solar photovoltaic panel corresponding to the temperature data is determined; if the temperature data exceeds the preset high temperature threshold, according to the position information, the first abnormal warning information is sent to the monitoring center, so that the monitoring center controls the heat dissipation equipment to dissipate the heat of the solar photovoltaic panel corresponding to the temperature data exceeding the preset high temperature threshold, so that the temperature data can be collected in real time and intelligently analyzed and processed, and abnormal situations can be identified and responded to in time to improve the reliability and safety of photovoltaic power generation.

[0052] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0053] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0054] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, collecting temperature data of each solar photovoltaic panel; S202, if the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold, determining the location information of the solar photovoltaic power generation panel corresponding to the temperature data; S203, if the temperature data exceeds a preset high temperature threshold, a first abnormal warning message is sent to a monitoring center according to the location information, so that the monitoring center controls the heat dissipation device to dissipate heat for the solar photovoltaic panels corresponding to the temperature data exceeding the preset high temperature threshold.

[0055] It can be seen that the temperature data of each solar photovoltaic panel is collected; if the temperature data exceeds the preset high temperature threshold or is lower than the preset low temperature threshold, the position information of the solar photovoltaic panel corresponding to the temperature data is determined; if the temperature data exceeds the preset high temperature threshold, according to the position information, the first abnormal warning information is sent to the monitoring center, so that the monitoring center controls the heat dissipation equipment to dissipate the heat of the solar photovoltaic panel corresponding to the temperature data exceeding the preset high temperature threshold, so that the temperature data can be collected in real time and intelligently analyzed and processed, and abnormal situations can be identified and responded to in time to improve the reliability and safety of photovoltaic power generation.

[0056] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A method for monitoring a solar photovoltaic panel, characterized in that: The method comprises: Collect temperature data of each solar photovoltaic panel; If the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold, determining the location information of the solar photovoltaic power generation panel corresponding to the temperature data; If the temperature data exceeds a preset high temperature threshold, a first abnormal warning message is sent to a monitoring center based on the location information, so that the monitoring center controls the heat dissipation device to dissipate heat for the solar photovoltaic panels corresponding to the temperature data exceeding the preset high temperature threshold.

2. The method according to claim 1, characterized in that The method further comprises: If the temperature data is lower than a preset low temperature threshold, a second abnormal warning message is sent to a monitoring center according to the location information.

3. The method according to claim 2, characterized in that The method further comprises: Collect other operating parameter data of each solar photovoltaic panel except temperature data; According to the temperature data and the other operating parameter data, an operating stability index representing the comprehensive operating stability of each solar photovoltaic power generation panel is calculated to comprehensively monitor the solar photovoltaic power generation panels.

4. The method according to claim 3, characterized in that The calculation formula of the operation stability index is: ； Among them, the is the operation stability index, is the current output power, is the historical average output power, is the current temperature data, For the best working temperature, the is the temperature standard deviation, is the current data, is the rated current of the photovoltaic panel, is the current voltage data, is the rated voltage of the photovoltaic panel, is the current humidity data, , , , , is the corresponding weight coefficient.

5. A monitoring system for solar photovoltaic panels, characterized in that: The system comprises: The first acquisition module is used to collect temperature data of each solar photovoltaic power generation panel; A determination module, used to determine the location information of the solar photovoltaic power generation panel corresponding to the temperature data if the temperature data exceeds a preset high temperature threshold or is lower than a preset low temperature threshold; The first monitoring module is used to send a first abnormal warning information to the monitoring center according to the location information if the temperature data exceeds a preset high temperature threshold, so that the monitoring center controls the heat dissipation equipment to dissipate heat for the solar photovoltaic panel corresponding to the temperature data exceeding the preset high temperature threshold.

6. The system according to claim 5, characterized in that The system further comprises: The second monitoring module is used to send a second abnormal warning information to the monitoring center according to the location information if the temperature data is lower than a preset low temperature threshold.

7. The system according to claim 6, characterized in that The system further comprises: The second acquisition module is used to collect other operating parameter data of each solar photovoltaic panel except temperature data; The third monitoring module is used to calculate the operation stability index representing the comprehensive operation stability of each solar photovoltaic power generation panel according to the temperature data and the other operation parameter data, so as to conduct comprehensive monitoring of the solar photovoltaic power generation panels.

8. The system according to claim 7, characterized in that The calculation formula of the operation stability index is: ； Among them, the is the operation stability index, is the current output power, is the historical average output power, is the current temperature data, For the best working temperature, the is the temperature standard deviation, is the current data, is the rated current of the photovoltaic panel, is the current voltage data, is the rated voltage of the photovoltaic panel, is the current humidity data, , , , , is the corresponding weight coefficient.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 4 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 4.

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