Distributed photovoltaic equipment detection system and method

Abstract

The invention relates to the technical field of equipment detection, in particular to a distributed photovoltaic equipment detection system and method.The system and method can improve detection efficiency, reduce cost and improve detection accuracy and reliability, and the method comprises the steps that photovoltaic equipment operation data are collected and stored multiple times; carrying out data transmission communication on the collected operation data of the photovoltaic equipment; analyzing and calculating the received and collected data; integrating the parameter data; constructing a photovoltaic equipment operation state model; the collected photovoltaic equipment operation data are analyzed and calculated and then are compared with the photovoltaic equipment operation state model, and if the photovoltaic equipment operation data are within the parameter range in the photovoltaic equipment operation state model, it is judged that the photovoltaic equipment operation state is normal; and if the operation data of the photovoltaic equipment is out of the parameter range in the operation state model of the photovoltaic equipment, judging that the operation state of the photovoltaic equipment is abnormal, and performing analysis processing according to the abnormal data out of the parameter range.

Description

Technical Field

[0001] The present invention relates to the field of equipment detection, and in particular to a distributed photovoltaic equipment detection system and method. Background Art

[0002] With the development of the global economy and the growth of population, energy demand continues to rise. The extensive use of traditional fossil energy has brought about a series of problems such as environmental pollution and climate change. People are in urgent need of finding clean and sustainable energy solutions. Solar energy is an inexhaustible clean energy. Distributed photovoltaic power generation has received widespread attention and application due to its flexibility and decentralization. In this case, in order to ensure the efficient and stable operation of distributed photovoltaic equipment, an effective detection system and method are needed.

[0003] In the prior art, existing equipment anomaly detection methods mainly include regular manual inspections and sensor-based monitoring systems. Manual inspection methods are labor-intensive, costly, and inefficient, which affects the accuracy and reliability of detection.

[0004] Therefore, it is necessary to propose a distributed photovoltaic equipment detection system and method to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a distributed photovoltaic equipment detection system and method to solve the problems of large workload, high cost and low efficiency of manual inspection, which affects the accuracy and reliability of detection.

[0006] To achieve the above object, the present invention provides the following technical solutions: A distributed photovoltaic equipment detection system and method, the method comprising: Collect and store the operation data of photovoltaic equipment multiple times to obtain parameter data of photovoltaic equipment at different time periods; Carry out data transmission and communication of the collected photovoltaic equipment operation data, and transmit the photovoltaic equipment operation data for detailed analysis and monitoring; Analyze and calculate the collected data to evaluate the power generation efficiency of the photovoltaic system and its performance under different environmental conditions; After analyzing and calculating the parameter data, they are integrated to build a photovoltaic equipment operation status model; The collected photovoltaic equipment operation data is analyzed and calculated and then compared with the photovoltaic equipment operation status model. If the photovoltaic equipment operation data is within the parameter range of the photovoltaic equipment operation status model, the photovoltaic equipment operation status is determined to be normal, and data collection and calculation of the photovoltaic equipment are continued; if the photovoltaic equipment operation data is outside the parameter range of the photovoltaic equipment operation status model, the photovoltaic equipment operation status is determined to be abnormal, and analysis and processing are performed based on the abnormal data outside the parameter range.

[0007] Preferably, the method for collecting photovoltaic equipment operation data includes: In photovoltaic equipment, sensors are deployed to collect operating parameters such as current, voltage, operating temperature and time of photovoltaic modules, and the sensors include current and voltage sensors and temperature sensors; According to monitoring requirements, a controller with a timestamp recording function is also deployed, and the controller is communicatively connected with the current and voltage sensors and the temperature sensor; Constructing a data acquisition system, wherein the data acquisition system is in communication with the controller, current and voltage sensors, and temperature sensors having a timestamp recording function, and records corresponding time information while collecting sensor data; According to monitoring requirements, a memory is also deployed to store data in the data acquisition system.

[0008] Preferably, the photovoltaic equipment operation data transmission and communication method includes: In photovoltaic equipment, the system uses USB interface for data transmission, which can be plug-and-play with PC, meeting the requirements of safety and high speed; The data transmission method adopts control transmission, exchanging parameter data information between the device and the PC, and verifying to ensure the correctness of the data packet; The communication protocol adopts the upper and lower computer communication protocol. In the process of transmitting from the lower computer to the upper computer, after the lower computer completes data acquisition, the data is stored in the memory. After the upper computer sends a command through the USB interface, the data is returned to the upper computer for processing; in the process of transmitting from the upper computer to the lower computer, when the upper computer sends a command to the lower computer, the command is first parsed into digital form, and the parameter acquisition command is sent according to the provisions of the communication protocol. After the lower computer reads the command sent by the upper computer, the working parameter data of the memory is transmitted back to the upper computer.

[0009] Preferably, the data analysis and calculation method comprises: The operating data of the current and voltage of the photovoltaic equipment in a certain period of time is obtained through a controller with a time stamp recording function and a current and voltage sensor; The temperature of the internal space and circuit components of the photovoltaic device in a certain period of time is obtained through a controller with a time stamp recording function and a temperature sensor; Record the current and voltage operating data of the photovoltaic equipment on different dates and the temperature of the internal space and circuit components of the photovoltaic equipment corresponding thereto for many times; The operating data of the current and voltage of the photovoltaic equipment at different time periods and corresponding different temperatures are analyzed and calculated by comprehensive multiple recorded data.

[0010] Preferably, the parameter data analysis and calculation followed by integration method comprises: Divide the working period data of photovoltaic equipment and determine the frequency of data collection; Divide the temperature in the divided working periods; The current and voltage operating data under the multiple recorded data are further matched and divided according to the divided working time periods and the divided temperatures.

[0011] Preferably, the method for constructing a photovoltaic device operating status model comprises: According to the characteristics of photovoltaic equipment operation data, the basic elements for constructing the photovoltaic equipment operation status model are selected; Using the integrated and divided data to train the photovoltaic equipment operation status model, including adjusting the model parameters; Divide the data into training data and validation data, and evaluate the performance of the model through repeated training and validation; The correctness of the photovoltaic equipment operation status model is tested multiple times using new independent data to ensure that the photovoltaic equipment operation status model can be used for actual photovoltaic equipment operation data detection.

[0012] Preferably, the method for comparing the photovoltaic equipment operation data after analysis and calculation with the photovoltaic equipment operation status model comprises: Compare the data calculated after analyzing the operation data of the photovoltaic equipment with the current and voltage parameter range corresponding to a temperature range in a certain period of time in the operation state model of the photovoltaic equipment; If the operating current and voltage data of the photovoltaic equipment are within the parameter range of the photovoltaic equipment operating state model, it is determined that the operating state of the photovoltaic equipment is normal; If the operating current and voltage of the photovoltaic device are outside the parameter range of the photovoltaic device operating state model, it is determined that the operating state of the photovoltaic device is abnormal, and analysis and processing are performed based on the abnormal data outside the parameter range.

[0013] Preferably, the factors affecting the division of the parameter range of the photovoltaic device operating status model include device type, materials of electronic components of the photovoltaic device, environmental factors, and the like.

[0014] Preferably, the system comprises: A data acquisition module is used to collect data during the operation of photovoltaic equipment; A data storage module, used for storing data during the operation of the photovoltaic equipment; A data transmission module, used to transmit the data stored during the operation of the photovoltaic device to other devices or systems for analysis and calculation; Data analysis and calculation module, used to calculate and analyze the data of photovoltaic equipment during operation; Data integration module, used to uniformly distribute the data after calculation and analysis; A model building module is used to build a photovoltaic equipment operation status model using the integrated data; The parameter comparison module compares the device operating parameters with the parameter range of the photovoltaic device operating status model to determine the operating status of the photovoltaic device.

[0015] Preferably, the distributed photovoltaic equipment detection equipment includes a host computer, a slave computer, a data acquisition system, a memory, a USB connection and an interface, wherein the slave computer also includes a current and voltage sensor, a temperature sensor and an expansion circuit, and the detection equipment implements the steps in any of the above methods when executed.

[0016] In summary, this method can improve detection efficiency, reduce costs, and improve detection accuracy and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the flow chart of the present invention.

[0018] Figure 2 It is a schematic diagram of the structure of the distributed photovoltaic detection system of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Example 1 like Figure 1 As shown, the distributed photovoltaic equipment detection method of the present invention specifically includes the following steps: S1. Collect and store the photovoltaic equipment operation data multiple times; Step S1 is used to collect data on the operation of photovoltaic equipment. The method for collecting data on the operation of photovoltaic equipment includes: S11. In the photovoltaic equipment, sensors are deployed to collect operating parameters of the photovoltaic components such as current, voltage, operating temperature and time, wherein the sensors include current and voltage sensors and temperature sensors; S12. According to monitoring requirements, a controller with a timestamp recording function is also deployed, and the controller is communicatively connected with the current and voltage sensors and the temperature sensor; S13, constructing a data acquisition system, wherein the data acquisition system is in communication with the controller, current and voltage sensor, and temperature sensor having a timestamp recording function, and records corresponding time information while collecting sensor data; S14. According to monitoring requirements, a memory is also deployed to store data in the data acquisition system.

[0021] S2, data transmission and communication of the collected photovoltaic equipment operation data; The photovoltaic equipment operation data transmission communication method comprises: S21. In photovoltaic equipment, the system uses a USB interface for data transmission, which can be plug-and-play with a PC to meet the requirements of safety and high speed; S22, the data transmission mode adopts control transmission, and the parameter data information is exchanged between the device and the PC, and the correctness of the data packet is ensured by verification; S23. The communication protocol adopts the upper and lower computer communication protocol. In the process of transmitting from the lower computer to the upper computer, after the lower computer completes data acquisition, the data is stored in the memory. After the upper computer sends a command through the USB interface, the data is returned to the upper computer for processing. In the process of transmitting from the upper computer to the lower computer, when the upper computer sends a command to the lower computer, the command is first parsed into digital form, and a parameter acquisition command is sent according to the provisions of the communication protocol. After the lower computer reads the command sent by the upper computer, the working parameter data of the memory is transmitted back to the upper computer.

[0022] S3, analyzing and calculating the received and collected data; S31, obtaining the current and voltage operation data of the photovoltaic device in a certain period of time through a controller with a timestamp recording function and a current and voltage sensor; S32, obtaining the temperature of the internal space and circuit components of the photovoltaic device in a certain period of time through a controller with a timestamp recording function and a temperature sensor; S33, repeatedly recording the operating data of the current and voltage of the photovoltaic device on different dates and the corresponding temperature of the internal space and circuit components of the photovoltaic device; S34, analyzing and calculating the operating data of the current and voltage of the photovoltaic device at different time periods and corresponding different temperatures by integrating the multiple recorded data.

[0023] S4, integrating parameter data; S41, dividing the photovoltaic equipment working period data and determining the frequency of data collection; S42, dividing the temperatures in the divided working time periods; S43, further matching and dividing the current and voltage operation data under the multiple recorded data according to the divided working time periods and the divided temperatures.

[0024] S5. Constructing a photovoltaic equipment operation status model; S51. According to the characteristics of photovoltaic equipment operation data, basic elements for constructing a photovoltaic equipment operation status model are selected; S52, using the integrated and divided data to train the photovoltaic equipment operation status model, including adjusting the parameters of the model; S53, dividing the data into training data and verification data, and evaluating the performance of the model through repeated training and verification; S54. Use new independent data multiple times to test the correctness of the photovoltaic equipment operation status model to ensure that the photovoltaic equipment operation status model can be used for actual photovoltaic equipment operation data detection.

[0025] S6, analyzing and calculating the collected photovoltaic equipment operation data and comparing it with the photovoltaic equipment operation status model; S61, comparing the data calculated after analyzing the operation data of the photovoltaic equipment with the current and voltage parameter range corresponding to a temperature range in a certain period of time in the operation state model of the photovoltaic equipment; S62: If the operating current and voltage data of the photovoltaic device are within the parameter range of the photovoltaic device operating state model, it is determined that the operating state of the photovoltaic device is normal; S63: If the operating current and voltage of the photovoltaic device are outside the parameter range of the photovoltaic device operating state model, it is determined that the operating state of the photovoltaic device is abnormal, and analysis and processing are performed based on the abnormal data outside the parameter range.

[0026] The factors affecting the division of the parameter range of the photovoltaic equipment operation status model include: Equipment type. Different types of photovoltaic equipment have different performances. Some high-efficiency photovoltaic equipment may be able to produce higher voltage and current outputs under the same light and temperature conditions, while the output capacity of some ordinary photovoltaic equipment is relatively weak. This performance difference will directly lead to different current and voltage parameter ranges in the operating state model. Different types of photovoltaic equipment have different structural designs, which will affect the temperature distribution of their internal space and circuit components. Different types of photovoltaic equipment also have different adaptability to the environment. Photovoltaic equipment electronic component materials. Different electronic component materials have different conductive properties. Some materials have higher conductivity and can allow a larger current to pass under the same voltage, which will directly affect the range of current parameters in the photovoltaic equipment operation state model. Different electronic component materials have different stability and reliability during long-term use. Materials with high stability can maintain relatively consistent performance, making the operation state of photovoltaic equipment more stable and the parameter fluctuation range smaller. The heat resistance of electronic component materials varies greatly. Some materials can maintain stable performance at higher temperatures, while other materials may experience performance degradation or even damage when the temperature rises. Materials with good heat resistance can enable photovoltaic equipment to work normally at higher temperatures, and the corresponding current and voltage parameters in the operation state model within the higher temperature range may change less. Environmental factors: Light intensity is one of the key factors affecting the output of photovoltaic equipment. Under strong light, photovoltaic modules can absorb more solar energy and convert it into electrical energy, thereby increasing the current and voltage, which will directly cause the current and voltage parameter range in the operating state model to expand toward higher values. Temperature has an important impact on the performance of photovoltaic equipment. Generally speaking, as the temperature increases, the output power of photovoltaic modules will decrease. High humidity environment may cause corrosion and damage to the electronic components of photovoltaic equipment, thereby affecting the performance of the equipment. When the humidity is high, the conductive properties of electronic components may change, resulting in unstable current and voltage parameters.

[0027] Embodiment 2, as Figure 2 As shown, the distributed photovoltaic equipment detection system of the present invention includes the following modules: The data acquisition module 100 is used to collect data of the photovoltaic equipment during operation; Sensors, including current and voltage sensors, temperature sensors, etc., are deployed in photovoltaic equipment to collect operating parameters such as current, voltage, operating temperature and time of photovoltaic modules. At the same time, a controller with a timestamp recording function communicates with these sensors to ensure that accurate time information is recorded while collecting data. The data acquisition system then communicates with the controller and sensors to comprehensively collect photovoltaic equipment operating data.

[0028] The data storage module 200 is used to store the data of the photovoltaic device during operation; The memory receives and stores data from the data acquisition system, providing a stable data source for subsequent data processing and analysis.

[0029] The data transmission module 300 is used to transmit the data stored during the operation of the photovoltaic device to other devices or systems for analysis and calculation; The system uses USB interface for data transmission, which can be plug-and-play with PC to achieve safe and high-speed data transmission. The data transmission method adopts control transmission to exchange parameter data information between the device and PC, and ensure the correctness of the data packet through verification.

[0030] The data analysis and calculation module 400 is used to calculate and analyze the data during the operation of the photovoltaic equipment; The current and voltage operating data of the photovoltaic equipment in a certain period of time are obtained through a controller with a timestamp recording function and a current and voltage sensor. The temperature of the internal space and circuit components of the photovoltaic equipment in the same period of time is obtained through a controller and a temperature sensor. These data on different dates are recorded multiple times, and the current and voltage operating data of the photovoltaic equipment in different periods of time and at corresponding different temperatures are comprehensively analyzed and calculated.

[0031] The data integration module 500 is used to uniformly distribute the calculated and analyzed data; The current and voltage operating data recorded multiple times are matched and divided according to the divided working time periods and temperatures to achieve unified distribution and organization of data.

[0032] A model building module 600 is used to build a photovoltaic equipment operation status model using the integrated data; Use the integrated and divided data to train the model, including adjusting the model parameters.

[0033] A parameter comparison module 700 compares the device operating parameters with the parameter range of the photovoltaic device operating state model to determine the operating state of the photovoltaic device; The collected photovoltaic equipment operation data is analyzed and calculated, and the data is compared with the current and voltage parameter range corresponding to a temperature range in a certain period of time in the photovoltaic equipment operation status model.

[0034] The entire detection system realizes automated data collection, transmission, analysis and processing, providing technical means for the intelligent management of photovoltaic equipment. Through real-time monitoring and analysis of the equipment's operating status, the equipment's operating strategy can be optimized and the overall efficiency and performance of the photovoltaic power generation system can be improved.

[0035] The distributed photovoltaic equipment detection equipment of the present invention includes a host computer, a slave computer, a data acquisition system, a memory, a USB connection and an interface, wherein the slave computer also includes a current and voltage sensor, a temperature sensor and an expansion circuit. The detection equipment can execute the above photovoltaic equipment detection implementation method.

[0036] In summary, the system's data is accurate and comprehensive, and the data processing process is efficient and reliable. Intelligent management and optimization improve the detection efficiency and the accuracy and reliability of the detection results.

[0037] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A distributed photovoltaic equipment detection method, characterized in that: The method comprises: Collect and store the operation data of photovoltaic equipment multiple times to obtain parameter data of photovoltaic equipment at different time periods; Carry out data transmission and communication of the collected photovoltaic equipment operation data, and transmit the photovoltaic equipment operation data for detailed analysis and monitoring; Analyze and calculate the collected data to evaluate the power generation efficiency of the photovoltaic system and its performance under different environmental conditions; After analyzing and calculating the parameter data, they are integrated to build a photovoltaic equipment operation status model; The collected photovoltaic equipment operation data is analyzed and calculated and then compared with the photovoltaic equipment operation status model. If the photovoltaic equipment operation data is within the parameter range of the photovoltaic equipment operation status model, the photovoltaic equipment operation status is determined to be normal, and data collection and calculation of the photovoltaic equipment are continued; if the photovoltaic equipment operation data is outside the parameter range of the photovoltaic equipment operation status model, the photovoltaic equipment operation status is determined to be abnormal, and analysis and processing are performed based on the abnormal data outside the parameter range.

2. A distributed photovoltaic equipment detection system and method according to claim 1, characterized in that: The methods for collecting photovoltaic equipment operation data include: In photovoltaic equipment, sensors are deployed to collect operating parameters such as current, voltage, operating temperature and time of photovoltaic modules, and the sensors include current and voltage sensors and temperature sensors; According to monitoring requirements, a controller with a timestamp recording function is also deployed, and the controller is communicatively connected with the current and voltage sensors and the temperature sensor; Constructing a data acquisition system, wherein the data acquisition system is in communication with the controller, current and voltage sensors, and temperature sensors having a timestamp recording function, and records corresponding time information while collecting sensor data; According to monitoring requirements, a memory is also deployed to store data in the data acquisition system.

3. A distributed photovoltaic equipment detection system and method according to claim 1, characterized in that: The photovoltaic equipment operation data transmission communication method comprises: In photovoltaic equipment, the system uses USB interface for data transmission, which can be plug-and-play with PC, meeting the requirements of safety and high speed; The data transmission method adopts control transmission, exchanging parameter data information between the device and the PC, and verifying to ensure the correctness of the data packet; The communication protocol adopts the upper and lower computer communication protocol. In the process of transmitting from the lower computer to the upper computer, after the lower computer completes data acquisition, the data is stored in the memory. After the upper computer sends a command through the USB interface, the data is returned to the upper computer for processing; in the process of transmitting from the upper computer to the lower computer, when the upper computer sends a command to the lower computer, the command is first parsed into digital form, and the parameter acquisition command is sent according to the provisions of the communication protocol. After the lower computer reads the command sent by the upper computer, the working parameter data of the memory is transmitted back to the upper computer.

4. A distributed photovoltaic equipment detection system and method according to claim 1, characterized in that: The data analysis and calculation methods include: The operating data of the current and voltage of the photovoltaic equipment in a certain period of time is obtained through a controller with a time stamp recording function and a current and voltage sensor; The temperature of the internal space and circuit components of the photovoltaic device in a certain period of time is obtained through a controller with a time stamp recording function and a temperature sensor; Record the current and voltage operating data of the photovoltaic equipment on different dates and the temperature of the internal space and circuit components of the photovoltaic equipment corresponding thereto for many times; The operating data of the current and voltage of the photovoltaic equipment at different time periods and corresponding different temperatures are analyzed and calculated by comprehensive multiple recorded data.

5. A distributed photovoltaic equipment detection system and method according to claim 1, characterized in that: The parameter data analysis and calculation followed by integration method comprises: Divide the working period data of photovoltaic equipment and determine the frequency of data collection; Divide the temperature in the divided working periods; The current and voltage operating data under the multiple recorded data are further matched and divided according to the divided working time periods and the divided temperatures.

6. A distributed photovoltaic equipment detection system and method according to claim 1, characterized in that: The method for constructing a photovoltaic device operating state model comprises: According to the characteristics of photovoltaic equipment operation data, the basic elements for constructing the photovoltaic equipment operation status model are selected; Using the integrated and divided data to train the photovoltaic equipment operation status model, including adjusting the model parameters; Divide the data into training data and validation data, and evaluate the performance of the model through repeated training and validation; The correctness of the photovoltaic equipment operation status model is tested multiple times using new independent data to ensure that the photovoltaic equipment operation status model can be used for actual photovoltaic equipment operation data detection.

7. A distributed photovoltaic equipment detection system and method according to claim 1, characterized in that: The method for comparing the photovoltaic equipment operation data after analysis and calculation with the photovoltaic equipment operation status model includes: Compare the data calculated after the photovoltaic equipment operation data analysis to the current and voltage parameter range corresponding to a temperature range in a certain period of time in the photovoltaic equipment operation state model; If the operating current and voltage data of the photovoltaic equipment are within the parameter range of the photovoltaic equipment operating state model, it is determined that the operating state of the photovoltaic equipment is normal; If the operating current and voltage of the photovoltaic device are outside the parameter range of the photovoltaic device operating state model, it is determined that the operating state of the photovoltaic device is abnormal, and analysis and processing are performed based on the abnormal data outside the parameter range.

8. A distributed photovoltaic equipment detection system and method according to claim 1, characterized in that: The factors affecting the division of the parameter range of the photovoltaic device operating state model include device type, photovoltaic device electronic component materials, environmental factors, and the like.

9. A distributed photovoltaic equipment detection system, characterized in that: The system comprises: A data acquisition module is used to collect data during the operation of photovoltaic equipment; A data storage module, used for storing data during the operation of the photovoltaic equipment; A data transmission module, used to transmit the data stored during the operation of the photovoltaic device to other devices or systems for analysis and calculation; Data analysis and calculation module, used to calculate and analyze the data of photovoltaic equipment during operation; Data integration module, used to uniformly distribute the data after calculation and analysis; A model building module is used to build a photovoltaic equipment operation status model using the integrated data; The parameter comparison module compares the device operating parameters with the parameter range of the photovoltaic device operating status model to determine the operating status of the photovoltaic device.

10. A distributed photovoltaic equipment detection device, comprising a host computer, a slave computer, a data acquisition system, a memory, a USB connection and an interface, wherein: The lower computer also includes a current and voltage sensor, a temperature sensor and an expansion circuit, and is characterized in that: when the detection device is executed, the steps in the method according to any one of claims 1 to 7 are implemented.

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