Method and system for collecting temperature of photovoltaic module of photovoltaic station in real time

Abstract

The invention relates to the technical field of electric power operation and maintenance, provides a method and a system for collecting the temperature of a photovoltaic module of a photovoltaic station in real time, and aims to solve the problem of data analysis precision caused by factors such as sensor precision and a data processing algorithm. The method comprises the steps of sensor compatibility detection, data preprocessing, transmission to a specified terminal, data detection and modeling prediction, intelligent early warning and the like. The system is composed of a sensor module, a data acquisition module, a data transmission module, a data processing module and an intelligent early warning module, and real-time monitoring and early warning of the temperature of the photovoltaic module are achieved. According to the invention, the data precision and reliability are improved, the real-time performance of temperature monitoring is enhanced, the operation and maintenance efficiency is improved, and the safe operation of the photovoltaic power station is effectively guaranteed.

Description

Technical Field

[0001] This invention relates to the field of power operation and maintenance technology, and in particular to a method and system for real-time acquisition of photovoltaic module temperature in photovoltaic power plants. Background Technology

[0002] A photovoltaic (PV) module is a component made by connecting several individual high-efficiency crystalline silicon solar cells in series and parallel and then sealing them tightly. They convert solar energy into electrical energy, which is then stored in batteries, and can also power loads. PV modules are the devices that achieve photoelectric conversion in a solar power generation system.

[0003] The temperature of photovoltaic (PV) modules directly affects their power generation efficiency and lifespan. High temperatures can lead to decreased PV module performance, increased heat loss, and even potential safety hazards such as fires. Therefore, real-time temperature data collection of PV modules is crucial for assessing their power generation efficiency and preventing heat loss and fire risks.

[0004] The real-time temperature acquisition system for photovoltaic modules mainly consists of a photovoltaic panel temperature monitoring system, a cable tray temperature monitoring system, a combiner box temperature monitoring system, and corresponding data acquisition, transmission, and processing equipment. These systems utilize high-precision temperature sensors, such as distributed fiber optic temperature fire detectors, intelligent fiber optic temperature measurement devices, and infrared thermal imagers, to achieve real-time monitoring of the photovoltaic module temperature.

[0005] The accuracy of temperature data analysis is crucial for assessing the power generation efficiency of photovoltaic modules and preventing heat loss. However, limitations in sensor precision and data processing algorithms can affect the accuracy of data analysis. The system needs to be able to accurately identify temperature anomalies and issue timely alarms so that operators can take appropriate measures. However, in practical applications, the accuracy and reliability of anomaly detection algorithms can be affected by a variety of factors. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a method and system for real-time acquisition of photovoltaic module temperature in photovoltaic power plants, solving the problem that the accuracy of data analysis may be affected by limitations such as sensor precision and data processing algorithms.

[0007] To solve the above-mentioned technical problems, the specific technical solution of the present invention is as follows:

[0008] In a first aspect, the present invention provides a method for real-time acquisition of the temperature of photovoltaic modules in a photovoltaic power station, comprising:

[0009] Step S101: Detect the compatibility of the temperature sensor corresponding to the photovoltaic module of the photovoltaic power station. If the temperature sensor corresponding to the photovoltaic module of the photovoltaic power station is compatible, the basic data of the temperature sensor is transmitted to the data acquisition module.

[0010] Step S102: Receive the temperature data of the photovoltaic modules of the photovoltaic power station collected by the sensor module, convert the temperature data of the photovoltaic modules of the photovoltaic power station collected by the sensor module into a digital signal, and perform data preprocessing to obtain preprocessed temperature data.

[0011] Step S103: Receive user temperature monitoring request information, determine the corresponding data receiving terminal and the pre-processed temperature data to be transmitted based on the user temperature monitoring request information, and transmit the pre-processed temperature data to be transmitted to the corresponding data receiving terminal.

[0012] Step S104: The temperature data of the photovoltaic modules in the photovoltaic power station collected by the sensor module is detected, and the qualified temperature data is substituted into the preset temperature prediction model to obtain the temperature prediction result.

[0013] Step S105: Compare the temperature prediction result with the preset safe temperature value of the photovoltaic module of the photovoltaic power station to obtain the temperature prediction result comparison result. If the temperature prediction result comparison result is within the preset safe temperature value range of the photovoltaic module of the photovoltaic power station, the temperature of the photovoltaic module of the photovoltaic power station is safe. If the temperature prediction result comparison result is not within the preset safe temperature value range of the photovoltaic module of the photovoltaic power station, the temperature of the photovoltaic module of the photovoltaic power station is abnormal.

[0014] Furthermore, in the real-time temperature acquisition method for photovoltaic modules in a photovoltaic power station provided by the present invention, step S104 includes:

[0015] The sensor module receives the collected temperature data of the photovoltaic modules in the photovoltaic power station and initially marks the missing or abnormal data.

[0016] The received temperature data is cleaned to remove erroneous, duplicate, and invalid data, and missing data is filled in.

[0017] The temperature data after cleaning is subjected to quality inspection, and data that fails the inspection is marked or removed.

[0018] Verify the qualified temperature data by using methods such as data comparison, logical checks or rule verification. Data that fails the verification is processed again or removed.

[0019] The temperature data that has been cleaned, tested, and verified is substituted into the preset temperature prediction model. The temperature prediction model is run to process the input temperature data and output the temperature prediction results, which include the predicted temperature value, trend analysis, and anomaly warning.

[0020] Furthermore, in the real-time temperature acquisition method for photovoltaic modules in photovoltaic power plants provided by the present invention, step S105 includes:

[0021] The temperature prediction results are received from the data processing module. The temperature prediction results also include the predicted temperature value and trend analysis information.

[0022] Read the preset safe temperature value of photovoltaic modules in the photovoltaic power station in the system;

[0023] The received temperature prediction result is compared with the preset safety value to determine whether the temperature is within the safe range;

[0024] The temperature status of the photovoltaic modules in the photovoltaic power station is determined by comparing the temperature prediction results with the preset safety values.

[0025] If the temperature prediction result is within the preset safety value range, the photovoltaic module is deemed to be temperature safe.

[0026] If the temperature prediction result exceeds the preset safety value range, the photovoltaic module temperature is determined to be abnormal.

[0027] When an abnormal temperature is detected in the photovoltaic module, the intelligent early warning module will trigger the early warning mechanism and send an alarm message to the operation and maintenance personnel.

[0028] Secondly, the present invention provides a real-time temperature acquisition system for photovoltaic modules in a photovoltaic power station, which applies the real-time temperature acquisition method for photovoltaic modules in a photovoltaic power station as described above, including:

[0029] The sensor module is used to detect the compatibility of the temperature sensors corresponding to the photovoltaic modules of the photovoltaic power station. If the temperature sensors corresponding to the photovoltaic modules of the photovoltaic power station are compatible, the basic data of the temperature sensors will be transmitted to the data acquisition module.

[0030] The data acquisition module is used to receive the temperature data of the photovoltaic modules in the photovoltaic power station collected by the sensor module, convert the temperature data of the photovoltaic modules in the photovoltaic power station collected by the sensor module into digital signals, and perform data preprocessing to obtain preprocessed temperature data.

[0031] The data transmission module is used to receive user temperature monitoring requirements, determine the corresponding data receiving terminal and the pre-processed temperature data to be transmitted based on the user temperature monitoring requirements, and transmit the pre-processed temperature data to the corresponding data receiving terminal.

[0032] The data processing module is used to detect the temperature data of photovoltaic modules in the photovoltaic power station collected by the sensor module, and to input the qualified temperature data into the preset temperature prediction model to obtain the temperature prediction result.

[0033] The intelligent early warning module is used to compare the temperature prediction result with the preset safe temperature value of the photovoltaic module in the photovoltaic power station. If the temperature prediction result is within the preset safe temperature value range of the photovoltaic module in the photovoltaic power station, the temperature of the photovoltaic module in the photovoltaic power station is safe. If the temperature prediction result is not within the preset safe temperature value range of the photovoltaic module in the photovoltaic power station, the temperature of the photovoltaic module in the photovoltaic power station is abnormal.

[0034] Furthermore, the real-time temperature acquisition system for photovoltaic modules in a photovoltaic power station provided by the present invention includes a data processing module comprising:

[0035] The data receiving unit receives temperature data of photovoltaic modules in the photovoltaic power station from the sensor module and initially marks missing or abnormal data.

[0036] The data cleaning unit cleans the received temperature data, removing erroneous, duplicate, and invalid data, and filling in missing data.

[0037] The data detection unit performs quality checks on the temperature data after cleaning and marks or removes any data that fails the test.

[0038] The data verification unit verifies the qualified temperature data by using methods such as data comparison, logical checking or rule verification, and reprocesses or removes the data that fails the verification.

[0039] The data is input into the model unit. The temperature data that has been cleaned, tested and verified is input into the preset temperature prediction model. The temperature prediction model is run to process the input temperature data and output the temperature prediction results, which include the predicted temperature value, trend analysis and anomaly warning.

[0040] Furthermore, the real-time temperature acquisition system for photovoltaic modules in photovoltaic power plants provided by the present invention includes an intelligent early warning module comprising:

[0041] The temperature prediction result receiving unit receives temperature prediction results from the data processing module. The temperature prediction results also include predicted temperature values ​​and trend analysis information.

[0042] The preset safety value acquisition unit reads the preset safety temperature value of the photovoltaic modules in the photovoltaic power station.

[0043] The temperature prediction result is compared with the safety value unit to determine whether the temperature is within the safe range.

[0044] The temperature status determination unit compares the temperature prediction results with the preset safety values ​​to determine the temperature status of the photovoltaic modules in the photovoltaic power station.

[0045] If the temperature prediction result is within the preset safety value range, the photovoltaic module is deemed to be temperature safe.

[0046] If the temperature prediction result exceeds the preset safety value range, the photovoltaic module temperature is determined to be abnormal.

[0047] The temperature anomaly handling unit will trigger an early warning mechanism and send alarm information to maintenance personnel when the photovoltaic module temperature is determined to be abnormal.

[0048] The beneficial effects of this invention are mainly reflected in the following aspects:

[0049] Through multiple stages including data preprocessing, cleaning, detection, and verification, erroneous, duplicate, and invalid data are effectively removed, and missing data is filled in, improving the accuracy and reliability of temperature data. This helps to more accurately reflect the actual temperature status of photovoltaic modules, providing strong support for operation and maintenance decisions.

[0050] This invention enables real-time acquisition and processing of photovoltaic module temperature, reflecting temperature changes instantly. This helps maintenance personnel to promptly detect and address abnormal temperature conditions, preventing potential safety hazards.

[0051] Through the intelligent early warning mechanism, when the temperature prediction result exceeds the preset safety value range, the system automatically triggers an early warning and sends alarm information to the operation and maintenance personnel, reducing the workload of manual monitoring and improving operation and maintenance efficiency.

[0052] By monitoring and issuing early warnings for the temperature of photovoltaic modules in real time, this invention can promptly detect and address situations of excessively high or abnormal temperatures, preventing safety hazards such as performance degradation, increased heat loss, or even fires caused by high temperatures, thereby ensuring the safe operation of photovoltaic power plants.

[0053] The system provided by this invention has high flexibility and scalability, and can adapt to different types of photovoltaic power plants and temperature sensors. At the same time, the modular design of the system facilitates later maintenance and upgrades, reducing system maintenance costs.

[0054] Real-time, accurate temperature data not only helps ensure the safe operation of photovoltaic power plants, but also provides a basis for optimizing the power generation efficiency of photovoltaic modules. In-depth analysis of temperature data allows for adjustments to the operating strategies of photovoltaic power plants, thereby improving energy utilization efficiency.

[0055] In summary, this invention provides strong support for the safe and efficient operation of photovoltaic power plants by improving data accuracy, enhancing real-time monitoring capabilities, increasing operation and maintenance efficiency, ensuring safe operation, exhibiting strong adaptability, and optimizing energy utilization efficiency. Attached Figure Description

[0056] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0057] Figure 1 A schematic diagram of the method and system flow for real-time temperature acquisition of photovoltaic modules in a photovoltaic power station provided in an embodiment of the present invention. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention. The technical solutions provided by various embodiments of this invention will be described in detail below with reference to the accompanying drawings.

[0059] To better understand the purpose of this invention, the invention will now be described in further detail.

[0060] Please see Figure 1 This invention provides a method and system for real-time acquisition of photovoltaic module temperature in photovoltaic power plants, comprising:

[0061] In a first aspect, the present invention provides a method for real-time acquisition of the temperature of photovoltaic modules in a photovoltaic power station, comprising:

[0062] Step S101: Detect the compatibility of the temperature sensor corresponding to the photovoltaic module of the photovoltaic power station. If the temperature sensor corresponding to the photovoltaic module of the photovoltaic power station is compatible, the basic data of the temperature sensor is transmitted to the data acquisition module.

[0063] Step S102: Receive the temperature data of the photovoltaic modules of the photovoltaic power station collected by the sensor module, convert the temperature data of the photovoltaic modules of the photovoltaic power station collected by the sensor module into a digital signal, and perform data preprocessing to obtain preprocessed temperature data.

[0064] Step S103: Receive user temperature monitoring request information, determine the corresponding data receiving terminal and the pre-processed temperature data to be transmitted based on the user temperature monitoring request information, and transmit the pre-processed temperature data to be transmitted to the corresponding data receiving terminal.

[0065] Step S104: The temperature data of the photovoltaic modules in the photovoltaic power station collected by the sensor module is detected, and the qualified temperature data is substituted into the preset temperature prediction model to obtain the temperature prediction result.

[0066] Step S105: Compare the temperature prediction result with the preset safe temperature value of the photovoltaic module of the photovoltaic power station to obtain the temperature prediction result comparison result. If the temperature prediction result comparison result is within the preset safe temperature value range of the photovoltaic module of the photovoltaic power station, the temperature of the photovoltaic module of the photovoltaic power station is safe. If the temperature prediction result comparison result is not within the preset safe temperature value range of the photovoltaic module of the photovoltaic power station, the temperature of the photovoltaic module of the photovoltaic power station is abnormal.

[0067] Specifically, the real-time temperature acquisition method for photovoltaic modules in photovoltaic power plants provided by the present invention includes step S104, which comprises:

[0068] The sensor module receives the collected temperature data of the photovoltaic modules in the photovoltaic power station and initially marks the missing or abnormal data.

[0069] The received temperature data is cleaned to remove erroneous, duplicate, and invalid data, and missing data is filled in.

[0070] The temperature data after cleaning is subjected to quality inspection, and data that fails the inspection is marked or removed.

[0071] Verify the qualified temperature data by using methods such as data comparison, logical checks or rule verification. Data that fails the verification is processed again or removed.

[0072] The temperature data that has been cleaned, tested, and verified is substituted into the preset temperature prediction model. The temperature prediction model is run to process the input temperature data and output the temperature prediction results, which include the predicted temperature value, trend analysis, and anomaly warning.

[0073] Specifically, the real-time temperature acquisition method for photovoltaic modules in photovoltaic power plants provided by the present invention includes step S105, which comprises:

[0074] The temperature prediction results are received from the data processing module. The temperature prediction results also include the predicted temperature value and trend analysis information.

[0075] Read the preset safe temperature value of photovoltaic modules in the photovoltaic power station in the system;

[0076] The received temperature prediction result is compared with the preset safety value to determine whether the temperature is within the safe range;

[0077] The temperature status of the photovoltaic modules in the photovoltaic power station is determined by comparing the temperature prediction results with the preset safety values.

[0078] If the temperature prediction result is within the preset safety value range, the photovoltaic module is deemed to be temperature safe.

[0079] If the temperature prediction result exceeds the preset safety value range, the photovoltaic module temperature is determined to be abnormal.

[0080] When an abnormal temperature is detected in the photovoltaic module, the intelligent early warning module will trigger the early warning mechanism and send an alarm message to the operation and maintenance personnel.

[0081] Secondly, the present invention provides a real-time temperature acquisition system for photovoltaic modules in a photovoltaic power station, which applies the real-time temperature acquisition method for photovoltaic modules in a photovoltaic power station as described above, including:

[0082] The sensor module is used to detect the compatibility of the temperature sensors corresponding to the photovoltaic modules of the photovoltaic power station. If the temperature sensors corresponding to the photovoltaic modules of the photovoltaic power station are compatible, the basic data of the temperature sensors will be transmitted to the data acquisition module.

[0083] The data acquisition module is used to receive the temperature data of the photovoltaic modules in the photovoltaic power station collected by the sensor module, convert the temperature data of the photovoltaic modules in the photovoltaic power station collected by the sensor module into digital signals, and perform data preprocessing to obtain preprocessed temperature data.

[0084] The data transmission module is used to receive user temperature monitoring requirements, determine the corresponding data receiving terminal and the pre-processed temperature data to be transmitted based on the user temperature monitoring requirements, and transmit the pre-processed temperature data to the corresponding data receiving terminal.

[0085] The data processing module is used to detect the temperature data of photovoltaic modules in the photovoltaic power station collected by the sensor module, and to input the qualified temperature data into the preset temperature prediction model to obtain the temperature prediction result.

[0086] The intelligent early warning module is used to compare the temperature prediction result with the preset safe temperature value of the photovoltaic module in the photovoltaic power station. If the temperature prediction result is within the preset safe temperature value range of the photovoltaic module in the photovoltaic power station, the temperature of the photovoltaic module in the photovoltaic power station is safe. If the temperature prediction result is not within the preset safe temperature value range of the photovoltaic module in the photovoltaic power station, the temperature of the photovoltaic module in the photovoltaic power station is abnormal.

[0087] Specifically, the real-time temperature acquisition system for photovoltaic modules in photovoltaic power plants provided by the present invention includes a data processing module comprising:

[0088] The data receiving unit receives temperature data of photovoltaic modules in the photovoltaic power station from the sensor module and initially marks missing or abnormal data.

[0089] The data cleaning unit cleans the received temperature data, removing erroneous, duplicate, and invalid data, and filling in missing data.

[0090] The data detection unit performs quality checks on the temperature data after cleaning and marks or removes any data that fails the test.

[0091] The data verification unit verifies the qualified temperature data by using methods such as data comparison, logical checking or rule verification, and reprocesses or removes the data that fails the verification.

[0092] The data is input into the model unit. The temperature data that has been cleaned, tested and verified is input into the preset temperature prediction model. The temperature prediction model is run to process the input temperature data and output the temperature prediction results, which include the predicted temperature value, trend analysis and anomaly warning.

[0093] Specifically, the real-time temperature acquisition system for photovoltaic modules in photovoltaic power plants provided by the present invention includes an intelligent early warning module comprising:

[0094] The temperature prediction result receiving unit receives temperature prediction results from the data processing module. The temperature prediction results also include predicted temperature values ​​and trend analysis information.

[0095] The preset safety value acquisition unit reads the preset safety temperature value of the photovoltaic modules in the photovoltaic power station.

[0096] The temperature prediction result is compared with the safety value unit to determine whether the temperature is within the safe range.

[0097] The temperature status determination unit compares the temperature prediction results with the preset safety values ​​to determine the temperature status of the photovoltaic modules in the photovoltaic power station.

[0098] If the temperature prediction result is within the preset safety value range, the photovoltaic module is deemed to be temperature safe.

[0099] If the temperature prediction result exceeds the preset safety value range, the photovoltaic module temperature is determined to be abnormal.

[0100] The temperature anomaly handling unit will trigger an early warning mechanism and send alarm information to maintenance personnel when the photovoltaic module temperature is determined to be abnormal.

[0101] The technical solution of this invention effectively solves the problem that the accuracy of data analysis may be affected by limitations such as sensor accuracy and data processing algorithms through the following measures:

[0102] Data Preprocessing and Cleaning: In the data acquisition module, this invention first converts the temperature data collected by the sensor module into digital signals and performs preliminary data preprocessing. This includes data formatting and outlier marking, laying a good foundation for subsequent processing. In the data processing module, the received temperature data undergoes further deep cleaning. Erroneous, duplicate, and invalid data are removed, and missing data is filled in to ensure the quality of the data entering the model.

[0103] Data Inspection and Verification: In the data processing module, the cleaned temperature data undergoes quality inspection to identify and remove data that does not meet requirements, such as noise and outliers. The qualified data is then verified using methods such as data comparison, logical checks, or rule validation to further ensure the accuracy and consistency of the data.

[0104] Advanced data analysis and modeling: Rigorously cleaned, tested, and validated data is fed into pre-defined temperature prediction models. These models, potentially based on complex mathematical algorithms, machine learning, or deep learning techniques, are able to more accurately capture the inherent patterns and trends in temperature data. Through the temperature values ​​predicted by the models, trend analysis, and anomaly warning information, a more comprehensive and accurate assessment of the photovoltaic module temperature status is provided to maintenance personnel.

[0105] Intelligent early warning mechanism: The intelligent early warning module compares the temperature prediction results with preset safety values, promptly detects abnormal temperatures, and sends alarm information to maintenance personnel by triggering the early warning mechanism. This helps maintenance personnel respond quickly and take measures to prevent potential safety risks.

[0106] System Compatibility and Flexibility: In the system design, considering that different photovoltaic power plants may use different types of temperature sensors, this invention first tests sensor compatibility to ensure the accuracy and effectiveness of data transmission. The system has high flexibility and scalability, and can adjust preset safety values, update data processing algorithms, or optimize temperature prediction models according to actual needs to adapt to different application scenarios and changing requirements.

[0107] In summary, this invention, through a series of sophisticated data processing procedures, advanced data analysis techniques, and intelligent early warning mechanisms, effectively overcomes the limitations imposed by factors such as sensor accuracy and data processing algorithms, thereby improving the accuracy and reliability of data analysis and providing strong protection for the safe operation of photovoltaic power plants.

[0108] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations. The above-described embodiments of this invention do not constitute a limitation on the scope of protection of this invention.

Claims

1. A real-time acquisition method of photovoltaic module temperature in a photovoltaic power station, characterized in that, The method comprises the following steps: Step S101, detecting the temperature sensor compatibility corresponding to the photovoltaic module of the photovoltaic power station, and if the temperature sensor compatibility corresponding to the photovoltaic module of the photovoltaic power station is compatible, transmitting the temperature sensor basic data to the data acquisition module; Step S102, receiving the photovoltaic module temperature data collected by the sensor module, converting the photovoltaic module temperature data collected by the sensor module into a digital signal, and performing data preprocessing to obtain preprocessed temperature data; Step S103, receiving user temperature monitoring requirement information, determining the corresponding data receiving terminal and the preprocessed temperature data to be transmitted according to the user temperature monitoring requirement information, and transmitting the preprocessed temperature data to be transmitted to the corresponding data receiving terminal; Step S104, performing data detection on the photovoltaic module temperature data collected by the sensor module, and substituting the temperature data that passes the data detection into a preset temperature prediction model to obtain a temperature prediction result; Step S105, comparing the temperature prediction result with a preset photovoltaic module temperature safety value of the photovoltaic power station to obtain a temperature prediction result comparison result, if the temperature prediction result comparison result is within the preset photovoltaic module temperature safety value range of the photovoltaic power station, the photovoltaic module temperature of the photovoltaic power station is safe, and if the temperature prediction result comparison result is not within the preset photovoltaic module temperature safety value range of the photovoltaic power station, the photovoltaic module temperature of the photovoltaic power station is abnormal.

2. The photovoltaic plant photovoltaic module temperature real-time acquisition method of claim 1, wherein, The step S104 comprises: Receiving the collected photovoltaic module temperature data of the photovoltaic power station from the sensor module, and preliminarily marking the missing or abnormal data; Cleaning the received temperature data, removing error data, duplicate data and invalid data, and filling the missing data; Performing quality detection on the cleaned temperature data, and marking or removing the data that fails the detection; Verifying the temperature data that passes the detection, and performing reprocessing or removing the data that fails the verification by using data comparison, logic checking or rule verification; Substituting the temperature data that passes the cleaning, detection and verification into a preset temperature prediction model, running the temperature prediction model, processing the input temperature data, and outputting a temperature prediction result, wherein the temperature prediction result comprises a predicted temperature value, trend analysis and abnormal early warning.

3. The photovoltaic plant photovoltaic module temperature real-time acquisition method of claim 1, wherein, The step S105 comprises: Receiving the temperature prediction result from the data processing module, wherein the temperature prediction result further comprises a predicted temperature value and trend analysis information; Reading the preset photovoltaic module temperature safety value of the photovoltaic power station in the system; Comparing the received temperature prediction result with the preset safety value to determine whether the temperature is within a safe range; Determining the temperature state of the photovoltaic module of the photovoltaic power station according to the comparison result of the temperature prediction result and the preset safety value; If the temperature prediction result is within the preset safety value range, it is determined that the photovoltaic module temperature is safe; If the temperature prediction result exceeds the preset safety value range, it is determined that the photovoltaic module temperature is abnormal; When it is determined that the photovoltaic module temperature is abnormal, the intelligent early warning module triggers an early warning mechanism to send an alarm information to an operation and maintenance personnel.

4. A photovoltaic field photovoltaic module temperature real-time acquisition system, applying the photovoltaic field photovoltaic module temperature real-time acquisition method as claimed in any one of claims 1 to 3, characterized in that, The method comprises the following steps: The sensor module is configured to detect temperature sensor compatibility corresponding to a photovoltaic module of a photovoltaic power station, and transmit temperature sensor basic data to the data acquisition module if the temperature sensor compatibility corresponding to the photovoltaic module of the photovoltaic power station is compatible. The data acquisition module is configured to receive photovoltaic module temperature data collected by the sensor module, convert the photovoltaic module temperature data collected by the sensor module into a digital signal, and perform data preprocessing to obtain preprocessed temperature data. The data transmission module is configured to receive user temperature monitoring requirement information, determine a corresponding data receiving terminal and preprocessed temperature data to be transmitted according to the user temperature monitoring requirement information, and transmit the preprocessed temperature data to be transmitted to the corresponding data receiving terminal. The data processing module is configured to perform data detection on the photovoltaic module temperature data collected by the sensor module, and obtain a temperature prediction result by substituting the temperature data that passes the data detection into a preset temperature prediction model. The intelligent early warning module is configured to compare the temperature prediction result with a preset photovoltaic module temperature safety value of the photovoltaic power station to obtain a temperature prediction result comparison result, determine that the photovoltaic module temperature of the photovoltaic power station is safe if the temperature prediction result comparison result is within the preset photovoltaic module temperature safety value range of the photovoltaic power station, and determine that the photovoltaic module temperature of the photovoltaic power station is abnormal if the temperature prediction result comparison result is not within the preset photovoltaic module temperature safety value range of the photovoltaic power station.

5. The photovoltaic plant photovoltaic module temperature real-time acquisition system of claim 1, wherein, The data processing module comprises: A data receiving unit configured to receive collected photovoltaic module temperature data of the photovoltaic power station from the sensor module, and preliminarily mark missing or abnormal data; A data cleaning unit configured to clean received temperature data, remove error data, duplicate data and invalid data, and fill in missing data; A data detection unit configured to perform quality detection on the cleaned temperature data, and mark or remove data that fails the detection; A data verification unit configured to verify the temperature data that passes the detection, and perform reprocessing or removal on data that fails the verification by using data comparison, logic checking or rule verification; A data substitution model unit configured to substitute the temperature data that passes the cleaning, detection and verification into a preset temperature prediction model, run the temperature prediction model, process the input temperature data, and output a temperature prediction result, wherein the temperature prediction result comprises a predicted temperature value, trend analysis and abnormal early warning.

6. The photovoltaic plant photovoltaic module temperature real-time acquisition system of claim 1, wherein, The intelligent early warning module comprises: A temperature prediction result receiving unit configured to receive a temperature prediction result from the data processing module, wherein the temperature prediction result further comprises a predicted temperature value and trend analysis information; A preset safety value obtaining unit configured to read a preset photovoltaic module temperature safety value of the photovoltaic power station in the system; A temperature prediction result and safety value comparison unit configured to compare the received temperature prediction result with the preset safety value, and determine whether the temperature is within a safe range; A temperature state judging unit configured to determine a temperature state of the photovoltaic module of the photovoltaic power station according to the comparison result of the temperature prediction result and the preset safety value; If the temperature prediction result is within the preset safety value range, it is determined that the photovoltaic module temperature is safe. If the temperature prediction result exceeds the preset safety value range, it is determined that the photovoltaic module temperature is abnormal; The temperature abnormality processing unit, when it is determined that the photovoltaic module temperature is abnormal, the intelligent early warning module will trigger the early warning mechanism and send alarm information to the operation and maintenance personnel.

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