Remote monitoring and fault diagnosis system for photovoltaic power generation equipment

Abstract

The invention provides a photovoltaic power generation equipment remote monitoring and fault diagnosis system, which comprises a data acquisition module, the data acquisition module is in circuit connection with a data transmission module, the data transmission module is in circuit connection with a data processing module, and the data processing module is used for analyzing and processing data acquired by the data acquisition module. The fault early warning module is used for sending out an early warning signal when potential fault hidden dangers are found according to the data analysis result, equipment operation data are collected in real time through the data collection module, analyzed through the data processing module and then transmitted to the equipment performance analysis module, the performance condition of equipment can be known in time, equipment operation parameters can be optimized, and the service life of the equipment is prolonged. And the power generation efficiency of the photovoltaic power generation equipment is improved. The fault early warning module can timely discover potential fault hidden dangers and send out early warning signals, and the fault diagnosis module accurately diagnoses faults in combination with data of the fault historical recording module, so that rapid positioning and problem solving are facilitated, the downtime of equipment is shortened, and the reliability of the equipment is improved.

Description

Technical Field

[0001] The present invention relates to the field of remote monitoring and fault diagnosis of photovoltaic power generation equipment, and in particular to a remote monitoring and fault diagnosis system for photovoltaic power generation equipment. Background Art

[0002] As the global demand for clean energy continues to grow, photovoltaic power generation, as an important renewable energy technology, has been widely used. However, photovoltaic power generation equipment is usually distributed over a wide area, and the traditional manual inspection method is not only inefficient, but also difficult to detect equipment failures in a timely manner.

[0003] A photovoltaic power generation fault diagnosis system based on a photovoltaic physical model is proposed in the Chinese invention patent application number: CN201310419630.8, which is connected to the photovoltaic system to be monitored. The photovoltaic power generation fault diagnosis system includes an environmental parameter acquisition device, a photovoltaic system parameter acquisition device, a signal converter and a fault diagnosis subsystem. In the present invention, when the photovoltaic system is running, the environmental parameter acquisition device acquires the photovoltaic system environmental parameters at preset intervals, and transmits the environmental parameters to the fault diagnosis subsystem after conversion by the signal converter; at the same time, the photovoltaic system parameter acquisition device acquires the photovoltaic system parameters at preset intervals, and transmits the environmental parameters to the fault diagnosis subsystem after conversion by the signal converter; the fault diagnosis subsystem performs calculations and fault condition judgments based on the obtained parameters, and outputs the results. Compared with the prior art, the present invention has the advantages of fewer required calculation parameters, simple line laying and modification, and low cost, and realizes safe and reliable monitoring and fault diagnosis of the photovoltaic system.

[0004] During the operation of photovoltaic power generation equipment, the existing monitoring and fault diagnosis technologies have some shortcomings.

[0005] In the existing photovoltaic power generation equipment monitoring system, the real-time and accuracy of data collection are often not ideal, resulting in the inability to timely discover changes in equipment performance and potential fault hazards. This may cause sudden failures in the equipment during operation, resulting in increased equipment downtime, affecting power generation efficiency and economic benefits.

[0006] In addition, the existing fault diagnosis technology is relatively backward, and often the fault can only be diagnosed and repaired after it has occurred and caused certain damage to the equipment. This post-processing method not only increases the maintenance cost, but may also shorten the service life of the equipment.

[0007] Moreover, the existing monitoring system is not perfect in remote control and management functions and cannot meet the actual needs. The staff needs to frequently go to the site for operation and inspection, which increases labor costs and work difficulty.

[0008] At the same time, for the maintenance of equipment, the existing technology lacks effective prediction and planning capabilities, and maintenance is often carried out only after the equipment fails, resulting in the lack of planning and targeting of maintenance work, affecting the normal operation and reliability of the equipment. Therefore, we have made improvements to this and proposed a remote monitoring and fault diagnosis system for photovoltaic power generation equipment. Summary of the invention

[0009] The purpose of the present invention is to address the problems raised by the existing background technology. In order to achieve the above-mentioned invention purpose, the present invention provides the following technical solutions: a photovoltaic power generation equipment remote monitoring and fault diagnosis system, including a data acquisition module, the data acquisition module is connected to the data transmission module circuit, characterized in that the data transmission module is connected to the data processing module circuit, the data processing module is used to analyze and process the data collected by the data acquisition module, the data processing module is connected to the equipment performance analysis module circuit, the data processing module is connected to the fault warning module circuit, the fault warning module is used to send a warning signal for potential fault hazards found in the data analysis results, the fault warning module is connected to the monitoring center data, the monitoring center is provided with a fault diagnosis module, and the fault diagnosis module is used to diagnose the fault of the photovoltaic power generation equipment.

[0010] As a preferred technical solution of the present invention, the equipment performance analysis module is used to analyze various performance indicators of photovoltaic power generation equipment, and the equipment performance analysis module is connected to the monitoring center data.

[0011] As a preferred technical solution of the present invention, the fault diagnosis module is data-connected with the fault history recording module, and the fault history recording module is used to record the fault information of the equipment, and the fault information includes the fault time, type, and processing method.

[0012] As a preferred technical solution of the present invention, a remote control module is provided in the monitoring center, and the remote control module is used for remote operation and control of the photovoltaic power generation equipment.

[0013] As a preferred technical solution of the present invention, a predictive maintenance module is provided in the monitoring center, and the predictive maintenance module predicts the occurrence of failures and arranges maintenance work in advance based on the operating data and failure history of the equipment.

[0014] As a preferred technical solution of the present invention, a system configuration maintenance module is provided in the monitoring center, and the system configuration maintenance module is used for system configuration and daily maintenance work.

[0015] A method for remote monitoring and fault diagnosis of photovoltaic power generation equipment includes the following steps: Step 1. Data acquisition: collecting relevant data of the photovoltaic power generation equipment, including the operating status and performance parameters of the equipment, through a data acquisition module;

[0016] Step 2. Data transmission: The collected data is transmitted to the data processing module through the data transmission module;

[0017] Step 3. Data analysis and processing: The data processing module analyzes and processes the received data, including data sorting, screening and calculation operations;

[0018] Step 4. Equipment performance analysis: The equipment performance analysis module analyzes various performance indicators of the photovoltaic power generation equipment and transmits the analysis results to the monitoring center;

[0019] Step 5. Fault warning: The fault warning module monitors the data analysis results, issues a warning signal when a potential fault is found, and transmits the warning information to the monitoring center;

[0020] Step 6. Fault diagnosis: After receiving the warning information, the fault diagnosis module of the monitoring center diagnoses the fault of the photovoltaic power generation equipment. During the diagnosis process, the fault diagnosis module will refer to the fault information of the equipment recorded in the fault history module, including the fault time, type, and treatment method, to improve the accuracy and efficiency of the diagnosis;

[0021] Step 7. Remote control: The remote control module of the monitoring center remotely operates and controls the photovoltaic power generation equipment according to the diagnosis results, including adjusting the operating parameters of the equipment and starting or stopping the equipment;

[0022] Step 8. Predictive maintenance: The predictive maintenance module predicts the occurrence of failures based on the equipment's operating data and failure history, and schedules maintenance work in advance to reduce the probability of equipment failure and downtime;

[0023] Step 9. System configuration maintenance: The system configuration maintenance module is responsible for the configuration and daily maintenance of the entire monitoring and fault diagnosis system to ensure the normal operation and performance optimization of the system.

[0024] As a preferred technical solution of the present invention, the specific steps in step 3. data analysis and processing are as follows: Step 31. Data screening: screening the data according to the preset screening conditions; including setting the normal range of voltage and current, and marking the data beyond the range as abnormal data;

[0025] Step 32. Data calculation: Calculate the key performance indicators of photovoltaic power generation equipment, including power generation efficiency and power factor; power generation efficiency is obtained by calculating the ratio of output electrical energy to input light energy; power factor is calculated by the ratio of active power to apparent power; perform trend analysis on the data, calculate the rate of change and slope of the data, and obtain the changing trend of equipment performance.

[0026] As a preferred technical solution of the present invention, step 4. The specific steps of equipment performance analysis are as follows: step 41. Determine performance indicators: clarify various performance indicators of photovoltaic power generation equipment that need to be analyzed, and the performance indicators include power generation efficiency, output power, voltage stability, current stability, and power factor;

[0027] Step 42. Data collection: Obtain relevant data from the data processing module after sorting, screening and calculation. These data will serve as the basis for performance analysis;

[0028] Step 43. Performance indicator calculation:

[0029] Power generation efficiency calculation: According to the input light energy and output electrical energy data, according to the formula

[0030] Calculate the power generation efficiency, where P out is the output power, P in is the power corresponding to the input light energy;

[0031] Power factor calculation: Based on the data of active power and apparent power, according to the formula Calculate the power factor, where P is the active power and S is the apparent power;

[0032] Step 44. Result analysis and comparison: Compare the calculated performance index results with the design standard of the equipment, historical data or performance indexes of similar equipment to analyze the performance status of the equipment;

[0033] Performance indicators meet or exceed design standards and historical data, indicating that the equipment is performing well;

[0034] If the performance index is lower than the design standard or historical data, further analysis is needed on the reasons, including equipment aging, component damage, and environmental factors;

[0035] Step 45. Result transmission: The results of the performance analysis are transmitted to the monitoring center in the form of data so that the staff of the monitoring center can timely understand the performance status of the equipment and take corresponding measures according to the analysis results, including equipment maintenance and optimization of operating parameters.

[0036] As a preferred technical solution of the present invention, the specific steps of step 6. fault diagnosis are as follows: Step 61. Receiving warning information: the fault diagnosis module of the monitoring center receives the warning information issued by the fault warning module in real time, including relevant characteristics and data of potential faults;

[0037] Step 62. Obtain current data of the device: obtain current operating data of the photovoltaic power generation device from the data processing module, including voltage, current, power, and temperature parameters.

[0038] Step 63. Query the fault history record: query the fault information of the photovoltaic power generation equipment in the past in the fault history record module, including the fault time, type, and processing method;

[0039] Step 64. Comparative analysis: Compare and analyze the current data of the equipment with the historical fault records to find the fault mode and characteristics; compare the current data with the characteristics of a historical fault, refer to the handling method of the historical fault, and preliminarily determine the fault type and cause;

[0040] Step 65. Determine the fault type and cause: Through the above analysis and judgment, the fault type and cause of the photovoltaic power generation equipment are finally determined;

[0041] Step 66. Generate diagnostic report: organize the fault diagnosis results, including fault type, cause, and impact assessment information, into a detailed diagnostic report and transmit it to the monitoring center.

[0042] Compared with the prior art, the present invention has the following beneficial effects: In the scheme of the present invention: 1. Improving equipment operation efficiency: The equipment operation data is collected in real time by the data acquisition module, and transmitted to the equipment performance analysis module after analysis by the data processing module, so as to timely understand the performance status of the equipment, help optimize the equipment operation parameters, and improve the power generation efficiency of the photovoltaic power generation equipment.

[0043] 2. Enhance fault warning and diagnosis capabilities: The fault warning module can promptly detect potential fault hazards and issue warning signals. The fault diagnosis module combines the data from the fault history module to accurately diagnose the fault, which helps to quickly locate and solve the problem, reduce equipment downtime, and improve equipment reliability.

[0044] 3. Realize remote control and management: The remote control module in the monitoring center enables staff to operate and control photovoltaic power generation equipment remotely, which is convenient and fast, reducing the cost and risk of manual on-site operation.

[0045] 4. Improve maintenance efficiency and quality: The predictive maintenance module predicts possible failures based on equipment operation data and failure history, and arranges maintenance work in advance, which can effectively reduce the occurrence of sudden failures, improve the planning and pertinence of maintenance work, and improve maintenance efficiency and quality.

[0046] 5. Ensure stable operation of the system: The system configuration and maintenance module is responsible for the configuration and daily maintenance of the system, ensuring that the system's software and hardware are in good condition and ensuring the stable operation of the entire remote monitoring and fault diagnosis system.

[0047] 6. Reduce operating costs: By timely discovering and solving faults, optimizing equipment performance, and arranging maintenance work in advance, it is possible to reduce equipment maintenance costs and energy losses and improve the economic benefits of photovoltaic power generation equipment.

[0048] 7. Improve data security and reliability: The entire system collects, transmits and processes equipment operation data to ensure data accuracy and integrity. At the same time, the existence of the fault history recording module provides a reliable basis for data analysis and fault diagnosis, further improving the reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a system logic block diagram provided by the present invention. DETAILED DESCRIPTION

[0050] To make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them.

[0051] Therefore, the following detailed description of the embodiments of the present invention is not intended to limit the scope of the claimed invention, but only represents some embodiments of the present invention. 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. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features and technical solutions in the embodiments are combined with each other. It should be noted that the numbers and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0052] Example 1: Please refer to Figure 1 A photovoltaic power generation equipment remote monitoring and fault diagnosis system includes a data acquisition module, which is connected to a data transmission module circuit. The system is characterized in that the data transmission module is connected to a data processing module circuit, the data processing module is used to analyze and process the data collected by the data acquisition module, the data processing module is connected to an equipment performance analysis module circuit, the data processing module is connected to a fault warning module circuit, the fault warning module is used to send a warning signal for potential fault hazards found in the data analysis results, the fault warning module is connected to a monitoring center data, a fault diagnosis module is provided in the monitoring center, and the fault diagnosis module is used to diagnose faults of photovoltaic power generation equipment.

[0053] The equipment performance analysis module is used to analyze various performance indicators of photovoltaic power generation equipment, and the equipment performance analysis module is connected with the monitoring center data.

[0054] The fault diagnosis module is connected to the fault history module. The fault history module is used to record the fault information of the equipment. The fault information includes the fault time, type and processing method.

[0055] A remote control module is provided in the monitoring center, and the remote control module is used for remote operation and control of the photovoltaic power generation equipment.

[0056] The monitoring center is equipped with a predictive maintenance module, which predicts faults and arranges maintenance work in advance based on the equipment's operating data and fault history.

[0057] A system configuration and maintenance module is set up in the monitoring center, which is used for system configuration and daily maintenance.

[0058] Working principle of photovoltaic power generation equipment remote monitoring and fault diagnosis system:

[0059] The data acquisition module collects the relevant data of the photovoltaic power generation equipment, and transmits the collected data to the data transmission module through the circuit. The data transmission module further transmits the data to the data processing module.

[0060] The data processing module analyzes and processes the received data. On the one hand, the processed data is transmitted to the equipment performance analysis module for analyzing the various performance indicators of the photovoltaic power generation equipment; on the other hand, the data is also transmitted to the fault warning module. The fault warning module monitors the data analysis results and issues a warning signal once a potential fault is found, which is then transmitted to the monitoring center.

[0061] After the monitoring center receives the fault warning signal, the fault diagnosis module will diagnose the fault of the photovoltaic power generation equipment. At the same time, the fault diagnosis module is connected to the fault history module, which records the fault information of the equipment, including the fault time, type, and treatment method. This information can provide a reference for fault diagnosis.

[0062] The performance index data of the photovoltaic power generation equipment obtained by the equipment performance analysis module will also be transmitted to the monitoring center.

[0063] The remote control module in the monitoring center can remotely operate and control photovoltaic power generation equipment. The predictive maintenance module predicts possible failures based on the equipment's operating data and fault history, and arranges maintenance work in advance. The system configuration and maintenance module is responsible for system configuration and daily maintenance to ensure the normal operation of the entire system.

[0064] Embodiment 2: A method for remote monitoring and fault diagnosis of photovoltaic power generation equipment, comprising the following steps: Step 1. Data acquisition: collecting relevant data of the photovoltaic power generation equipment, including the operating status and performance parameters of the equipment, through a data acquisition module;

[0065] Step 2. Data transmission: The collected data is transmitted to the data processing module through the data transmission module;

[0066] Step 3. Data analysis and processing: The data processing module analyzes and processes the received data, including data sorting, screening and calculation operations;

[0067] Step 4. Equipment performance analysis: The equipment performance analysis module analyzes various performance indicators of the photovoltaic power generation equipment and transmits the analysis results to the monitoring center;

[0068] Step 5. Fault warning: The fault warning module monitors the data analysis results, issues a warning signal when a potential fault is found, and transmits the warning information to the monitoring center;

[0069] Step 6. Fault diagnosis: After receiving the warning information, the fault diagnosis module of the monitoring center diagnoses the fault of the photovoltaic power generation equipment. During the diagnosis process, the fault diagnosis module will refer to the fault information of the equipment recorded in the fault history module, including the fault time, type, and treatment method, to improve the accuracy and efficiency of the diagnosis;

[0070] Step 7. Remote control: The remote control module of the monitoring center remotely operates and controls the photovoltaic power generation equipment according to the diagnosis results, including adjusting the operating parameters of the equipment and starting or stopping the equipment;

[0071] Step 8. Predictive maintenance: The predictive maintenance module predicts the occurrence of failures based on the equipment's operating data and failure history, and schedules maintenance work in advance to reduce the probability of equipment failure and downtime;

[0072] Step 9. System configuration maintenance: The system configuration maintenance module is responsible for the configuration and daily maintenance of the entire monitoring and fault diagnosis system to ensure the normal operation and performance optimization of the system.

[0073] Step 3. The specific steps in the data analysis process are: Step 31. Data screening: Screen the data according to the preset screening conditions; including setting the normal range of voltage and current, and marking the data beyond the range as abnormal data;

[0074] Step 32. Data calculation: Calculate the key performance indicators of photovoltaic power generation equipment, including power generation efficiency and power factor; power generation efficiency is obtained by calculating the ratio of output electrical energy to input light energy; power factor is calculated by the ratio of active power to apparent power; perform trend analysis on the data, calculate the rate of change and slope of the data, and obtain the changing trend of equipment performance.

[0075] Step 4. Specific steps for equipment performance analysis: Step 41. Determine performance indicators: clarify the various performance indicators of photovoltaic power generation equipment that need to be analyzed, including power generation efficiency, output power, voltage stability, current stability, and power factor;

[0076] Step 42. Data collection: Obtain relevant data from the data processing module after sorting, screening and calculation. These data will serve as the basis for performance analysis;

[0077] Step 43. Performance indicator calculation:

[0078] Power generation efficiency calculation: According to the input light energy and output electrical energy data, according to the formula

[0079] Calculate the power generation efficiency, where P out is the output power, P in is the power corresponding to the input light energy;

[0080] Power factor calculation: Based on the data of active power and apparent power, according to the formula Calculate the power factor, where P is the active power and S is the apparent power;

[0081] Step 44. Result analysis and comparison: Compare the calculated performance index results with the design standard of the equipment, historical data or performance indexes of similar equipment to analyze the performance status of the equipment;

[0082] Performance indicators meet or exceed design standards and historical data, indicating that the equipment is performing well;

[0083] If the performance index is lower than the design standard or historical data, further analysis is needed on the reasons, including equipment aging, component damage, and environmental factors;

[0084] Step 45. Result transmission: The results of the performance analysis are transmitted to the monitoring center in the form of data so that the staff of the monitoring center can timely understand the performance status of the equipment and take corresponding measures according to the analysis results, including equipment maintenance and optimization of operating parameters.

[0085] Step 6. Specific steps of fault diagnosis: Step 61. Receiving warning information: The fault diagnosis module of the monitoring center receives the warning information issued by the fault warning module in real time, including relevant characteristics and data of potential faults;

[0086] Step 62. Obtain current data of the device: obtain current operating data of the photovoltaic power generation device from the data processing module, including voltage, current, power, and temperature parameters.

[0087] Step 63. Query the fault history record: query the fault information of the photovoltaic power generation equipment in the past in the fault history record module, including the fault time, type, and processing method;

[0088] Step 64. Comparative analysis: Compare and analyze the current data of the equipment with the historical fault records to find the fault mode and characteristics; compare the current data with the characteristics of a historical fault, refer to the handling method of the historical fault, and preliminarily determine the fault type and cause;

[0089] Step 65. Determine the fault type and cause: Through the above analysis and judgment, the fault type and cause of the photovoltaic power generation equipment are finally determined;

[0090] Step 66. Generate diagnostic report: organize the fault diagnosis results, including fault type, cause, and impact assessment information, into a detailed diagnostic report and transmit it to the monitoring center.

[0091] Specific working process of the remote monitoring and fault diagnosis system for photovoltaic power generation equipment:

[0092] 1. Data acquisition: The data acquisition module collects the operating data of photovoltaic power generation equipment in real time, including voltage, current, power and temperature parameters.

[0093] 2. Data transmission: The collected data is transmitted to the data transmission module through the circuit, and the data transmission module sends this data to the data processing module.

[0094] 3. Data processing and analysis:

[0095] The data processing module receives the data from the data transmission module and analyzes and processes the data.

[0096] On the one hand, the processed data is transmitted to the equipment performance analysis module to analyze the various performance indicators of photovoltaic power generation equipment, such as power generation efficiency and equipment stability.

[0097] On the other hand, the data is transmitted to the fault warning module, which monitors the data analysis results to detect potential fault hazards.

[0098] 4. Fault warning:

[0099] When the fault warning module detects a potential fault, it will issue a warning signal and transmit the signal data to the monitoring center.

[0100] 5. Fault diagnosis:

[0101] After the monitoring center receives the fault warning signal, the fault diagnosis module starts to diagnose the fault of the photovoltaic power generation equipment.

[0102] The fault diagnosis module is also connected to the fault history module data, referring to the fault information of the equipment in the past recorded in the fault history module, including the fault time, type, and processing method, to more accurately diagnose the current fault.

[0103] 6.Performance analysis and monitoring:

[0104] The equipment performance analysis module transmits the performance index data of the photovoltaic power generation equipment obtained by analysis to the monitoring center, and the staff of the monitoring center can understand the performance status of the equipment in real time.

[0105] 7. Remote Control:

[0106] The remote control module in the monitoring center can remotely operate and control the photovoltaic power generation equipment according to actual needs, such as starting, stopping, and adjusting parameters.

[0107] 8. Predictive Maintenance:

[0108] The predictive maintenance module uses data analysis and prediction algorithms to predict possible failures based on the equipment's operating data and failure history.

[0109] According to the prediction results, maintenance work can be arranged in advance, including formulating maintenance plans and preparing materials and tools required for maintenance, so as to reduce equipment downtime and improve equipment reliability and service life.

[0110] 9. System configuration and maintenance:

[0111] The system configuration and maintenance module is responsible for the configuration and daily maintenance of the entire system, including software updates, hardware checks, and network connection maintenance to ensure the stable operation of the system.

[0112] The above embodiments are only used to illustrate the present invention and are not intended to limit the technical solutions described in the present invention. Although the present invention has been described in detail with reference to the above embodiments, the present invention is not limited to the above specific implementation methods. Therefore, any modification or replacement of the present invention; and all technical solutions and improvements thereof that do not depart from the spirit and scope of the invention are included in the scope of the claims of the present invention.

Claims

1. A photovoltaic power generation equipment remote monitoring and fault diagnosis system, comprising a data acquisition module, wherein the data acquisition module is connected to a data transmission module circuit, characterized in that: The data transmission module is circuit-connected to the data processing module, the data processing module is used to analyze and process the data collected by the data acquisition module, the data processing module is circuit-connected to the equipment performance analysis module, the data processing module is circuit-connected to the fault warning module, the fault warning module is used to issue a warning signal for potential fault hazards found in the data analysis results, the fault warning module is data-connected to the monitoring center, the monitoring center is provided with a fault diagnosis module, and the fault diagnosis module is used to diagnose faults of photovoltaic power generation equipment.

2. A photovoltaic power generation equipment remote monitoring and fault diagnosis system according to claim 1, characterized in that: The equipment performance analysis module is used to analyze various performance indicators of photovoltaic power generation equipment, and the equipment performance analysis module is connected to the monitoring center data.

3. A photovoltaic power generation equipment remote monitoring and fault diagnosis system according to claim 2, characterized in that: The fault diagnosis module is data-connected with the fault history recording module, and the fault history recording module is used to record the fault information of the equipment, and the fault information includes the fault time, type, and processing method.

4. A photovoltaic power generation equipment remote monitoring and fault diagnosis system according to claim 3, characterized in that: A remote control module is provided in the monitoring center, and the remote control module is used for remote operation and control of the photovoltaic power generation equipment.

5. A photovoltaic power generation equipment remote monitoring and fault diagnosis system according to claim 4, characterized in that: The monitoring center is provided with a predictive maintenance module, which predicts the occurrence of failures and arranges maintenance work in advance based on the operating data and failure history of the equipment.

6. A photovoltaic power generation equipment remote monitoring and fault diagnosis system according to claim 5, characterized in that: The monitoring center is provided with a system configuration maintenance module, which is used for system configuration and daily maintenance.

7. A method for remote monitoring and fault diagnosis of photovoltaic power generation equipment, characterized in that: The following steps are involved: Step 1. Data collection: collect relevant data of photovoltaic power generation equipment through the data collection module, including the operating status and performance parameters of the equipment; Step 2. Data transmission: The collected data is transmitted to the data processing module through the data transmission module; Step 3. Data analysis and processing: The data processing module analyzes and processes the received data, including data sorting, screening and calculation operations; Step 4. Equipment performance analysis: The equipment performance analysis module analyzes various performance indicators of the photovoltaic power generation equipment and transmits the analysis results to the monitoring center; Step 5. Fault warning: The fault warning module monitors the data analysis results, issues a warning signal when a potential fault is found, and transmits the warning information to the monitoring center; Step 6. Fault diagnosis: After receiving the warning information, the fault diagnosis module of the monitoring center diagnoses the fault of the photovoltaic power generation equipment. During the diagnosis process, the fault diagnosis module will refer to the fault information of the equipment recorded in the fault history module, including the fault time, type, and treatment method, to improve the accuracy and efficiency of the diagnosis; Step 7. Remote control: The remote control module of the monitoring center remotely operates and controls the photovoltaic power generation equipment according to the diagnosis results, including adjusting the operating parameters of the equipment and starting or stopping the equipment; Step 8. Predictive maintenance: The predictive maintenance module predicts the failures that will occur based on the equipment’s operating data and failure history, and schedules maintenance work in advance; Step 9. System configuration maintenance: The system configuration maintenance module is responsible for the configuration and daily maintenance of the entire monitoring and fault diagnosis system.

8. A photovoltaic power generation equipment remote monitoring and fault diagnosis method according to claim 7, characterized in that: Step 3. The specific steps in the data analysis process are: Step 31. Data screening: Screen the data according to the preset screening conditions; This includes setting the normal range of voltage and current, and marking the data outside the range as abnormal data; Step 32. Data calculation: Calculate the key performance indicators of photovoltaic power generation equipment, including power generation efficiency and power factor; power generation efficiency is obtained by calculating the ratio of output electrical energy to input light energy; power factor is calculated by the ratio of active power to apparent power; perform trend analysis on the data and calculate the rate of change and slope of the data.

9. A photovoltaic power generation equipment remote monitoring and fault diagnosis method according to claim 8, characterized in that: Step 4. Specific steps for equipment performance analysis: Step 41. Determine performance indicators: clarify the various performance indicators of photovoltaic power generation equipment that need to be analyzed, including power generation efficiency, output power, voltage stability, current stability, and power factor; Step 42. Data collection: Obtain relevant data from the data processing module after sorting, screening and calculation. These data will serve as the basis for performance analysis; Step 43. Performance indicator calculation: Power generation efficiency calculation: According to the input light energy and output electrical energy data, according to the formula Calculate the power generation efficiency, where P out is the output power, P in is the power corresponding to the input light energy; Power factor calculation: Based on the data of active power and apparent power, according to the formula Calculate the power factor, where P is the active power and S is the apparent power; Step 44. Result analysis and comparison: Compare the calculated performance index results with the design standard of the equipment, historical data or performance indexes of similar equipment to analyze the performance status of the equipment; The performance indicators meet or exceed the design standards and historical data, and the equipment performance is good; Performance indicators are lower than design standards or historical data analysis reasons, including equipment aging, component damage, and environmental factors; Step 45. Result transmission: The results of the performance analysis are transmitted to the monitoring center in the form of data so that the staff of the monitoring center can timely understand the performance status of the equipment and take corresponding measures according to the analysis results, including equipment maintenance and optimization of operating parameters.

10. A photovoltaic power generation equipment remote monitoring and fault diagnosis method according to claim 9, characterized in that: Step 6. Specific steps of fault diagnosis: Step 61. Receiving warning information: The fault diagnosis module of the monitoring center receives the warning information issued by the fault warning module in real time, including relevant characteristics and data of potential faults; Step 62. Obtaining current data of the device: obtaining current operating data of the photovoltaic power generation device from the data processing module, including voltage, current, power, and temperature parameters; Step 63. Query the fault history record: query the fault information of the photovoltaic power generation equipment in the past in the fault history record module, including the fault time, type, and processing method; Step 64. Comparative analysis: Compare and analyze the current data of the equipment with the historical fault records to find the fault mode and characteristics; compare the current data with the characteristics of a historical fault, refer to the handling method of the historical fault, and preliminarily determine the fault type and cause; Step 65. Determine the fault type and cause: Through the above analysis and judgment, the fault type and cause of the photovoltaic power generation equipment are finally determined; Step 66. Generate diagnostic report: organize the fault diagnosis results, including fault type, cause, and impact assessment information, into a detailed diagnostic report and transmit it to the monitoring center.

Images