Photovoltaic power generation park monitoring method and system based on artificial intelligence

Abstract

The invention relates to the field of photovoltaic park monitoring, in particular to a photovoltaic power generation park monitoring method and system based on artificial intelligence, and the method comprises the steps: collecting related data information in a photovoltaic power generation park, and carrying out the feature extraction, feature fusion and adaptive overall integration of the preprocessed data information; calculating an abnormal alarm cardinal number of the photovoltaic power generation park based on a result obtained by self-adaptive overall integration and in combination with the operation performance of photovoltaic power generation equipment; in the monitoring first-level unit, the relative deviation degree between the monitoring value of the park photovoltaic power generation equipment and the operation performance of the photovoltaic power generation equipment is calculated, the relative deviation degree is compared with the park abnormal alarm cardinal number, and whether a front alarm system is started or not is judged; in the monitoring secondary unit, according to the photoelectric conversion efficiency and in combination with the inclination angle and the orientation angle of a photovoltaic panel, the manual regular inspection frequency adjustment parameters of the photovoltaic power generation park are calculated, and improvement is carried out at the same time; and calculating the working revenue condition of the photovoltaic power generation park according to the cost and fault condition of the photovoltaic power generation park.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic park monitoring, and in particular to a photovoltaic power generation park monitoring method and system based on artificial intelligence. Background Art

[0002] As the global demand for clean energy continues to increase, photovoltaic power generation has been widely used as an important renewable energy utilization method. The scale of photovoltaic power generation parks is expanding, and the monitoring of their operating status is of vital importance to ensure power generation efficiency, equipment safety and stable power supply.

[0003] Traditional monitoring methods for photovoltaic power generation parks mainly rely on manual inspections and simple sensor data monitoring. Manual inspections are inefficient and it is difficult to fully and comprehensively grasp the operating conditions of numerous photovoltaic modules, inverters, combiner boxes and other equipment in the park in real time. It is also prone to human negligence and misjudgment. Although sensor data monitoring can obtain some equipment operating parameters, it has limited ability to identify complex fault types and abnormal conditions. It can often only issue simple alarms after a fault occurs, and it is impossible to control potential faults in advance, and it is difficult to comprehensively evaluate and optimize the operating performance of the entire park.

[0004] Therefore, an intelligent monitoring method is needed to improve the monitoring efficiency and accuracy of photovoltaic power generation parks, timely discover and solve potential problems, and improve the overall operation level of photovoltaic power generation parks. Summary of the invention

[0005] The present invention provides an artificial intelligence-based photovoltaic power park monitoring method and system, which aims to achieve intelligent monitoring, optimized operation and predictive maintenance of photovoltaic power generation systems through the application of intelligent technology, improve the efficiency and reliability of the system, reduce operating costs, and thus achieve sustainable and efficient photovoltaic power generation.

[0006] The technical solution of the present invention is specifically as follows: A photovoltaic power generation park monitoring method based on artificial intelligence includes the following steps: Step S1. Collect relevant data information in the photovoltaic power generation park and pre-process it, extract features of the pre-processed data information, fuse the extracted multiple features, and perform adaptive overall integration to capture comprehensive features at different time points; Step S2. Based on the results obtained by adaptively integrating the operation data of different groups of photovoltaic power generation equipment and combining the operation performance of the photovoltaic power generation equipment, the abnormal alarm base of the photovoltaic power generation park is calculated; Step S3. In the first-level monitoring unit, the relative deviation between the monitoring value of the photovoltaic power generation equipment in the park and the operating performance of the photovoltaic power generation equipment is calculated, and compared with the abnormal alarm base of the park to determine whether to activate the pre-alarm system; Step S4. In the monitoring secondary unit, according to the photoelectric conversion efficiency and the inclination angle and orientation angle of the photovoltaic panel, the adjustment parameters of the manual periodic inspection frequency of the photovoltaic power generation park are calculated, and the manual periodic inspection frequency is improved; Step S5. Calculate the operating revenue of the photovoltaic power generation park based on the improved manual periodic inspection frequency, the photovoltaic power generation park cost, and the fault conditions.

[0007] Further, step S1 specifically includes: in, represents the integration function of the whole; Indicated in The weight ratio parameter when ; represents the weighted fusion output function; Indicates Proportional coefficients of group data features; Indicates the modified impact parameter value; Indicated in Time The coefficient of variation of the operation process of the photovoltaic power generation equipment; represents the learning factor; Indicated in Time Group characteristic data; Indicated in Time Deviation data of group characteristics.

[0008] Calculate the abnormal alarm base of the park , based on the adaptive overall integration of different groups of photovoltaic power generation equipment operating data and photovoltaic power generation equipment operating performance , the specific process is as follows: in, Represents the sensitivity adjustment coefficient.

[0009] Further, step S2 specifically includes: in, , , , Respectively represent the expected power generation value of the photovoltaic park , power stability expected value , average power generation , Photovoltaic power generation fluctuations The weight coefficient corresponding to the standard deviation.

[0010] Step S3 specifically includes: When the abnormal alarm base is not exceeded, that is, the pre-alarm system is not activated, the photovoltaic power generation park photoelectric conversion efficiency is determined based on the light intensity and power generation power. .

[0011] Step S3 specifically includes: The high efficiency and medium photoelectric conversion efficiency of photovoltaic power generation parks are set as , the threshold between medium and low efficiency is ,and , the photovoltaic power generation park photoelectric conversion efficiency Respectively , Compare the results; the preset manual regular inspection frequency of the photovoltaic power generation park is .

[0012] Further, step S3 specifically includes: Set the first relative deviation degree to The second relative deviation is , the abnormal situation is determined according to the comparison result of the abnormal alarm base, and the abnormal situation of the photovoltaic power generation park includes the first abnormal situation, the second abnormal situation, and the third abnormal situation.

[0013] Further, step S5 specifically includes: The standard revenue of the photovoltaic power generation park is set in advance according to the historical electricity consumption and the electricity generated by the photovoltaic power generation park. At the same time, the revenue situation is compared, and it is determined whether to activate the photovoltaic power generation park alarm system based on the comparison results.

[0014] A photovoltaic power generation park monitoring system based on artificial intelligence, including the following contents: Park data collection module, data processing and integration module, abnormal alarm base acquisition module, manual regular inspection frequency determination module, park monitoring and alarm module; The park data collection module uses sensors and monitoring equipment to monitor and collect data from the photovoltaic power generation park in real time, providing real-time operating data for the system; The data processing and integration module is responsible for processing, cleaning, weighted fusion, integration and analysis of the collected data so that the system can extract useful information and insights from it; The abnormal alarm base acquisition module calculates the abnormal alarm base based on historical data and real-time monitoring data to evaluate whether the system operation status is normal; The manual periodic inspection frequency determination module presets the manual periodic inspection frequency of the photovoltaic power generation park according to the photoelectric conversion efficiency status of the photovoltaic power generation park, and then obtains the manual periodic inspection frequency adjustment parameters of the photovoltaic power generation park in combination with the inclination angle and orientation angle of the photovoltaic panel, and determines the manual periodic inspection frequency of the photovoltaic power generation park; The park monitoring and alarm module is used to monitor the operation of the system, trigger alarms and send notifications to relevant personnel based on abnormal alarms and preset rules, so as to respond to potential problems in a timely manner; The park monitoring and alarm module includes a primary monitoring unit and a secondary monitoring unit; The first-level monitoring unit determines whether to activate the pre-alarm system based on the relative deviation between the monitoring value of the photovoltaic power generation equipment in the park and the operating performance of the photovoltaic power generation equipment, and compares it with the abnormal alarm base of the park; Monitor the secondary unit, calculate the working revenue of the photovoltaic power generation park according to the improved manual regular inspection frequency, the cost and fault conditions of the photovoltaic power generation park, set the standard revenue of the photovoltaic power generation park, compare the revenue conditions at the same time, and determine whether to start the photovoltaic power generation park alarm system based on the comparison results.

[0015] Beneficial effects: 1. By collecting and processing relevant data information of the photovoltaic power generation park and extracting and integrating multiple features, the photovoltaic power generation park monitoring system can accurately understand the system status and operation status based on an effective data basis; by capturing the comprehensive characteristics at different time points, the monitoring system can achieve real-time monitoring and response, timely adjust the operation status of the photovoltaic power generation system, improve the stability and efficiency of the system, and provide data support for the subsequent photovoltaic power generation park monitoring process; based on feature extraction and fused data, the monitoring system can provide more accurate data analysis and decision support, help managers make reasonable decisions based on the system status, and optimize operation management.

[0016] 2. Through the calculation of the abnormal alarm base, the present invention enables management personnel to better understand the operating status of photovoltaic power generation park equipment, make targeted operation and maintenance decisions, optimize management strategies, and improve management efficiency; the operating conditions of photovoltaic power generation parks are complex and changeable, and are affected by various environmental factors such as light intensity, temperature, and humidity. The equipment may have different operating characteristics in different environments. By adaptively integrating operating data and calculating the alarm base in combination with performance, it is possible to better adapt to such complex conditions.

[0017] 3. By comparing the deviation between the monitoring value and the operating performance, the park monitoring system can detect signs of abnormal equipment operation or failure earlier and achieve early warning; timely activation of the pre-alarm system can reduce the impact of failures on the normal operation of the photovoltaic power generation system, reduce downtime, reduce the impact on the operation of the entire park, and optimize the management process; at the same time, the system can monitor the working status of the park more automatically and intelligently, and improve the efficiency and accuracy of the monitoring system. According to the comparison between the photoelectric conversion efficiency and the set standard, the frequency of manual regular inspection can be determined, thereby achieving preventive maintenance of the system and avoiding the occurrence of potential problems; reasonable and effective manual regular inspections help to extend the life of the photovoltaic power generation system and ensure the long-term stable operation of the system.

[0018] 4. Manual periodic inspection is crucial to the long-term stable operation of the photovoltaic system. The present invention adjusts the frequency of manual periodic inspection according to the inclination angle and orientation angle of the photovoltaic panel to adapt to the installation conditions of different photovoltaic panels, so as to more effectively maintain and manage the photovoltaic power generation system; by adjusting the parameters of the manual periodic inspection frequency, maintenance personnel can inspect and maintain the system more specifically, improve maintenance efficiency, reduce unnecessary maintenance work, and reduce maintenance costs; regular inspections can ensure the normal operation of photovoltaic panels, maintain efficient power generation of the photovoltaic system, maximize power generation efficiency, and improve the energy utilization rate of the park.

[0019] 5. The present invention can evaluate the economic benefits of the photovoltaic power generation park by calculating the working revenue of the park, and help managers understand the profitability of the park; taking into account the cost and failure of the photovoltaic power generation park, the cost can be better controlled and optimized, and the profitability of the park can be improved. According to the revenue situation, if there is a significant gap between the actual revenue and the expected revenue, the alarm system of the photovoltaic power generation park can be activated to investigate and solve the problem in time, ensure the normal operation of the park, and improve the operating efficiency and profitability of the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flow chart of a photovoltaic power generation park monitoring method based on artificial intelligence of the present invention; Figure 2 This is a module diagram of a photovoltaic power generation park monitoring system based on artificial intelligence of the present invention. DETAILED DESCRIPTION

[0021] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should also be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] See attached Figure 1, this embodiment provides a photovoltaic power generation park monitoring method based on artificial intelligence, comprising the following steps: S1. Collect relevant data information in the photovoltaic power generation park and preprocess it, extract features of the preprocessed data information, fuse the extracted multiple features, and perform adaptive overall integration to capture the comprehensive features at different time points.

[0023] Various sensors are installed on photovoltaic modules, inverters, junction boxes, weather stations and other equipment in the photovoltaic power generation park. The sensor types include but are not limited to current sensors, voltage sensors, temperature sensors, light intensity sensors, wind speed sensors and wind direction sensors to collect the operating parameters and environmental parameters of the equipment. Specifically, current sensors and voltage sensors are installed at the output end of each photovoltaic module to measure the output current and voltage of the module; power sensors are installed at the input and output ends of the inverter to obtain the input power and output power of the inverter; current balance monitoring devices are installed in the junction box, and light intensity sensors, temperature sensors, wind speed sensors and wind direction sensors are installed at the weather station in the park. All sensors transmit the collected data to the park's data center through wired, such as RS-485 bus; or wireless, such as ZigBee, LoRa and other communication methods.

[0024] After receiving the collected data, the data center cleans the data to remove outliers and noise data; outliers can be judged based on statistical methods, such as the 3-times standard deviation method, that is, if a data point deviates from the mean by more than 3 times the standard deviation, it is judged as an outlier; noise data can be removed by filtering algorithms, such as mean filtering, median filtering, etc. The cleaned data is standardized to convert data of different types and magnitudes into the same standard range to facilitate subsequent data analysis and processing.

[0025] In the embodiment of the present invention, the pre-processed data is subjected to feature extraction according to the prior art, and the extracted multiple features are fused; specifically, the data information generated during the operation of the photovoltaic power generation equipment includes abnormal state data and normal state data, and the photovoltaic power generation equipment operation data is defined as , , Indicates shared Group equipment operation data, for any group of equipment operation data express, , weighted fusion of each group of photovoltaic power generation equipment operation data information, the specific process is as follows: in, represents the weighted fusion output function; It represents the upper limit of basic characteristics in the overall operation data set of photovoltaic power generation equipment; Indicates the lower limit of the basic characteristics of the overall operation data set of photovoltaic power generation equipment; Indicates the weight of each set of information; Indicates the impact factor between different groups of data; represents the overall fusion parameter; represents the characteristic correction parameter; represents the offset difference coefficient; Represents the stability coefficient of the fusion process.

[0026] According to the output value of the weighted fusion of the operating data information of each group of photovoltaic power generation equipment, the overall characteristics at different time points are captured by adaptive overall integration, that is, the changes in the overall characteristics at different times can be observed to understand the dynamic changes of the photovoltaic power generation equipment system; the specific process is as follows: in, represents the integration function of the whole; Indicated in The weight ratio parameter when ; Indicates Proportional coefficients of group data features; Indicates the modified impact parameter value; Indicated in Time The coefficient of variation of the operation process of the photovoltaic power generation equipment; represents the learning factor; Indicated in Time Group characteristic data; Indicated in Time Deviation data of group characteristics.

[0027] By collecting and processing relevant data information of the photovoltaic power generation park and extracting and integrating multiple features, the photovoltaic power generation park monitoring system can accurately understand the system status and operation status based on an effective data basis; by capturing the comprehensive features at different time points, the monitoring system can achieve real-time monitoring and response, timely adjust the operation status of the photovoltaic power generation system, improve the stability and efficiency of the system, and provide data support for the subsequent photovoltaic power generation park monitoring process; based on the feature extracted and integrated data, the monitoring system can provide more accurate data analysis and decision support, help managers make reasonable decisions according to the system status, and optimize operation management.

[0028] S2. Results obtained based on adaptive overall integration of operating data of different groups of photovoltaic power generation equipment , and combined with the performance of photovoltaic power generation equipment , calculate the abnormal alarm base of photovoltaic power generation park .

[0029] The performance of photovoltaic power generation equipment can be considered from multiple aspects. In the embodiment of the present invention, the performance of photovoltaic power generation equipment mainly refers to the expected value of photovoltaic park power generation power. , power stability expected value , average power generation , photovoltaic power generation power fluctuation standard deviation Specifically, the expected value of the photovoltaic park's power generation indicates the change in the overall power generation capacity of the photovoltaic power generation equipment due to its own aging and the influence of the external environment, and is used to evaluate whether the equipment has reached the expected power generation level; the expected value of power stability indicates the stability characteristics of the power generation of the photovoltaic power generation equipment during normal operation, and is used to judge the operating stability of the equipment.

[0030] Set the rated power of the photovoltaic power generation equipment to ; At the same time, the aging coefficient of photovoltaic power generation equipment is considered and environmental correction factor , where the aging coefficient changes over time to indicate the impact of aging of photovoltaic power generation equipment on power generation, and the environmental correction coefficient is related to environmental factors such as temperature and humidity; the specific process is as follows: At the same time, the power fluctuation range of the photovoltaic power generation equipment in the park under ideal conditions is set to Taking into account the actual state changes of photovoltaic power generation equipment, a stability adjustment coefficient is introduced , as shown below: Set the record's co-ownership The power generated in a time period is , , that is, the average power generation , , Indicated in The power generation in each period; that is, the standard deviation of the historical photovoltaic power generation fluctuation , , reflecting the fluctuation of power generation.

[0031] therefore in, , , , are the corresponding weight coefficients, .

[0032] In the embodiment of the present invention, the result obtained based on the adaptive overall integration of the operation data of different groups of photovoltaic power generation equipment is , and combined with the performance of photovoltaic power generation equipment , calculate the abnormal alarm base of the park , the specific process is as follows: in, Represents the sensitivity adjustment coefficient.

[0033] By calculating the abnormal alarm base, the present invention enables management personnel to better understand the operating status of photovoltaic power generation park equipment, make targeted operation and maintenance decisions, optimize management strategies, and improve management efficiency; the operating conditions of photovoltaic power generation parks are complex and changeable, and are affected by various environmental factors such as light intensity, temperature, and humidity. The equipment may have different operating characteristics in different environments. By adaptively integrating operating data and calculating the alarm base in combination with performance, it is possible to better adapt to such complex conditions.

[0034] S3. In the first-level monitoring unit, the relative deviation between the monitoring value of the photovoltaic power generation equipment in the park and the operating performance of the photovoltaic power generation equipment is calculated, and compared with the abnormal alarm base of the park to determine whether to activate the pre-alarm system; if the abnormal alarm base is not exceeded, that is, the pre-alarm system is not activated, the pre-alarm system is activated according to the light intensity. and power generation Determine and calculate the photoelectric conversion efficiency of the photovoltaic power generation park; set the high efficiency and medium photoelectric conversion efficiency of the photovoltaic power generation park standard as , the threshold between medium and low efficiency is ,and , the photovoltaic power generation park photoelectric conversion efficiency Respectively , for comparison.

[0035] Set the monitoring value of the photovoltaic power generation equipment in the park to ,calculate Performance of photovoltaic power generation equipment The relative deviation , the relative deviation Abnormal alarm base number of the park The comparison is performed, and if the abnormal alarm base is exceeded, the pre-alarm system is activated. In the embodiment of the present invention, the monitoring value of the photovoltaic power generation equipment in the park is Performance of photovoltaic power generation equipment The relative deviation The calculation process is as follows: if , the pre-alarm system is activated.

[0036] Furthermore, the monitoring value of photovoltaic power generation equipment in the park is calculated In the embodiment of the present invention, the historical power fluctuation of the photovoltaic power generation park is obtained, and the past The power fluctuation of the photovoltaic power generation park within a time period is , the weighting coefficient of historical data is ,..., ; The specific process is as follows: , in, represents the weighted sum of historical data; represents the trend adjustment coefficient.

[0037] Set the first relative deviation degree to The second relative deviation is ,in, The first relative deviation degree and the second relative deviation degree are compared with the abnormal alarm base respectively, and the abnormal situation of the photovoltaic power generation park is determined according to the comparison result. The abnormal situation of the photovoltaic power generation park includes the first abnormal situation, the second abnormal situation, and the third abnormal situation.

[0038] if , it means that the photovoltaic power generation park is in the first abnormal situation; if , it means that the photovoltaic power generation park is in the second abnormal situation; if , it means that the photovoltaic power generation park is in the third abnormal situation.

[0039] When the abnormal alarm base is not exceeded, that is, the front alarm system is not activated, according to the light intensity and power generation Determine and calculate the photoelectric conversion efficiency of the photovoltaic power generation park. The photoelectric conversion efficiency refers to the efficiency of converting solar energy into electrical energy. The specific process is as follows: in, It indicates the photoelectric conversion efficiency of the photovoltaic power generation park; Indicates the light power; Represents the area of ​​photovoltaic panels.

[0040] At the same time, the high efficiency and medium photoelectric conversion efficiency of photovoltaic power generation parks are set as , the threshold between medium and low efficiency is ,and , the photovoltaic power generation park photoelectric conversion efficiency Respectively and Make a comparison; based on the actual situation analysis, , At the same time, the photovoltaic power generation park photoelectric conversion efficiency state is set to ; The preset frequency of manual regular inspection of photovoltaic power generation park is , the specific process is as follows: when hour, , indicating that the photovoltaic power generation park's photoelectric conversion efficiency is in a high-efficiency state, then the photovoltaic power generation park's manual regular inspection frequency is preset ; when hour, , indicating that the photovoltaic power generation park's photoelectric conversion efficiency is in a medium state, then the photovoltaic power generation park's manual regular inspection frequency is preset ; when hour, , indicating that the photovoltaic power generation park's photoelectric conversion efficiency is in a low state, the photovoltaic power generation park's manual regular inspection frequency is preset ; in, Indicates the standard manual regular inspection frequency of the photovoltaic power generation park; , , They represent the corresponding adjustment parameter values ​​respectively.

[0041] By comparing the deviation degree between the monitoring value and the operating performance, the park monitoring system of the present invention can discover the signs of abnormal operation or failure of equipment earlier and realize early warning; timely starting of the pre-alarm system can reduce the impact of the failure on the normal operation of the photovoltaic power generation system, reduce downtime, improve the availability and stability of the system, reduce the impact on the operation of the entire park, and optimize the management process; at the same time, the system can monitor the working status of the park in a more automated and intelligent manner, and improve the efficiency and accuracy of the monitoring system.

[0042] Based on the comparison between the photoelectric conversion efficiency and the set standard, the frequency of manual regular inspections can be determined, thereby achieving preventive maintenance of the system and avoiding the occurrence of potential problems; reasonable and effective manual regular inspections can help extend the life of the photovoltaic power generation system, ensure the long-term stable operation of the system, and improve the return on investment.

[0043] S4. Calculate the adjustment parameters of the manual periodic inspection frequency of the photovoltaic power generation park based on the photoelectric conversion efficiency and the tilt angle and orientation angle of the photovoltaic panels. , adjust the frequency of manual regular inspections.

[0044] In the embodiment of the present invention, the manual periodic inspection frequency adjustment parameter of the photovoltaic power generation park is obtained according to the photoelectric conversion efficiency and the inclination angle and orientation angle of the photovoltaic panel. , the specific calculation process is as follows: in, Indicates the tilt angle of the photovoltaic panel; ϕ represents the orientation angle of the photovoltaic panel; the exponential function is applied to It is used to enhance the relationship between the tilt angle of photovoltaic panels and the orientation angle of photovoltaic panels, so as to accurately reflect the impact on the manual periodic inspection frequency parameters of photovoltaic power generation parks.

[0045] At the same time, the comparison parameters of the first photovoltaic power generation park manual periodic inspection frequency adjustment parameters are defined as , according to the comparison results, the frequency of manual regular inspection of photovoltaic power generation parks is improved. The specific process is as follows: if , indicating that the photovoltaic power generation park needs to be inspected more frequently, so the frequency of manual regular inspection of the improved photovoltaic power generation park is ; if , indicating that the frequency of manual regular inspections in the photovoltaic power generation park does not need to be changed. ; if , indicating that the photovoltaic power generation park is in good condition and the inspection frequency can be appropriately reduced. The manual regular inspection frequency of the improved photovoltaic power generation park is ; in, It represents the proportionality coefficient, which is used to adjust the frequency of manual periodic inspections in photovoltaic power generation parks.

[0046] Manual periodic inspection is crucial to the long-term stable operation of the photovoltaic system. The present invention adjusts the frequency of manual periodic inspection according to the inclination angle and orientation angle of the photovoltaic panel to adapt to the installation conditions of different photovoltaic panels, so as to more effectively maintain and manage the photovoltaic power generation system; by adjusting the parameters of the manual periodic inspection frequency, maintenance personnel can inspect and maintain the system more specifically, improve maintenance efficiency, reduce unnecessary maintenance work, and reduce maintenance costs; regular inspections can ensure the normal operation of the photovoltaic panels, maintain the efficient power generation of the photovoltaic system, maximize the power generation efficiency, and improve the energy utilization rate of the park.

[0047] S5. In the monitoring secondary unit, according to the improved manual regular inspection frequency The photovoltaic power generation park's cost and fault conditions are also calculated to calculate the photovoltaic power generation park's operating revenue. The photovoltaic power generation park's standard revenue is set in advance based on historical electricity consumption and the power generated by the photovoltaic power generation park. At the same time, the revenue conditions are compared, and the photovoltaic power generation park alarm system is determined based on the comparison results.

[0048] In an embodiment of the present invention, in order to achieve monitoring continuity and accuracy, the standard revenue of the photovoltaic power generation park for each quarter is set in advance based on the historical electricity consumption in each quarter and the electricity generated by the photovoltaic power generation park. At the same time, the revenue situation is compared, and it is determined whether to start the photovoltaic power generation park alarm system based on the comparison results.

[0049] The cost of the photovoltaic power generation park is set to , which includes the cost of photovoltaic power generation equipment, maintenance cost, labor cost, etc.; the failure rate of photovoltaic power generation equipment is , , It indicates that the photovoltaic power generation equipment has no faults. It means that the photovoltaic power generation equipment is completely faulty and cannot generate electricity; the unit price of power generation is , that is, the income per kilowatt-hour of electricity; the power generation is ; Calculate the actual photovoltaic power generation park operating revenue per quarter as , , representing four quarters respectively, the specific process is as follows: , in, Indicates Quarterly average electricity price; Indicates Total electricity generation for the quarter; Indicates Quarterly photovoltaic power generation park costs; Indicates Quarterly photovoltaic power generation equipment failure rate; represents the cost adjustment factor; Represents fixed costs.

[0050] Set the photovoltaic power generation park Standard revenue for the quarter is , and the standard revenue difference threshold ; At the same time, calculate the difference between the actual revenue and the standard revenue of the photovoltaic power generation park each quarter , ; if , then the photovoltaic power generation park alarm system is activated; if , the photovoltaic power generation park alarm system will not be activated.

[0051] The present invention can evaluate the economic benefits of a photovoltaic power generation park by calculating the working revenue of the park, and help managers understand the profitability of the park; taking into account the cost and failure of the photovoltaic power generation park, the cost can be better controlled and optimized, and the profitability of the park can be improved. According to the revenue situation, if there is a significant gap between the actual revenue and the expected revenue, the alarm system of the photovoltaic power generation park can be activated to investigate and solve the problem in time, ensure the normal operation of the park, and improve the operating efficiency and profitability of the park.

[0052] See attached Figure 2 , this embodiment provides a photovoltaic power generation park monitoring system based on artificial intelligence, including the following contents: Park data collection module, data processing and integration module, abnormal alarm base acquisition module, manual regular inspection frequency determination module, park monitoring and alarm module; The park data collection module uses sensors and monitoring equipment to monitor and collect data from the photovoltaic power generation park in real time, providing real-time operating data for the system; The data processing and integration module is responsible for processing, cleaning, weighted fusion, integration and analysis of the collected data so that the system can extract useful information and insights from it; The abnormal alarm base acquisition module calculates the abnormal alarm base based on historical data and real-time monitoring data to evaluate whether the system operation status is normal; The manual periodic inspection frequency determination module presets the manual periodic inspection frequency of the photovoltaic power generation park according to the photoelectric conversion efficiency status of the photovoltaic power generation park, and then obtains the manual periodic inspection frequency adjustment parameters of the photovoltaic power generation park in combination with the inclination angle and orientation angle of the photovoltaic panel, and determines the manual periodic inspection frequency of the photovoltaic power generation park; The campus monitoring and alarm module is used to monitor the operation of the system, trigger alarms and send notifications to relevant personnel based on abnormal alarms and preset rules, so as to respond to potential problems in a timely manner; The park monitoring and alarm module includes a primary monitoring unit and a secondary monitoring unit; The first-level monitoring unit determines whether to activate the pre-alarm system based on the relative deviation between the monitoring value of the photovoltaic power generation equipment in the park and the operating performance of the photovoltaic power generation equipment, and compares it with the abnormal alarm base of the park; Monitor the secondary unit, calculate the working revenue of the photovoltaic power generation park according to the improved manual regular inspection frequency, the cost and fault conditions of the photovoltaic power generation park, set the standard revenue of the photovoltaic power generation park, compare the revenue conditions at the same time, and determine whether to start the photovoltaic power generation park alarm system based on the comparison results.

[0053] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0054] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0055] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0056] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0057] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A photovoltaic power generation park monitoring method based on artificial intelligence, characterized in that: The following steps are involved: Step S1. Collect relevant data information in the photovoltaic power generation park and pre-process it, extract features of the pre-processed data information, fuse the extracted multiple features, and perform adaptive overall integration to capture comprehensive features at different time points; Step S2. Based on the results obtained by adaptively integrating the operation data of different groups of photovoltaic power generation equipment and combining the operation performance of the photovoltaic power generation equipment, the abnormal alarm base of the photovoltaic power generation park is calculated; Step S3. In the first-level monitoring unit, the relative deviation between the monitoring value of the photovoltaic power generation equipment in the park and the operating performance of the photovoltaic power generation equipment is calculated, and compared with the abnormal alarm base of the park to determine whether to activate the pre-alarm system; Step S4. In the monitoring secondary unit, according to the photoelectric conversion efficiency and the inclination angle and orientation angle of the photovoltaic panel, the adjustment parameters of the manual periodic inspection frequency of the photovoltaic power generation park are calculated, and the manual periodic inspection frequency is improved; Step S5. Calculate the operating revenue of the photovoltaic power generation park based on the improved manual periodic inspection frequency, the photovoltaic power generation park cost, and the fault conditions.

2. The photovoltaic power generation park monitoring method based on artificial intelligence according to claim 1 is characterized in that: The step S1 specifically includes: in, represents the integration function of the whole; Indicated in The weight ratio parameter when ; represents the weighted fusion output function; Indicates Proportional coefficients of group data features; Indicates the modified impact parameter value; Indicated in Time The coefficient of variation of the operation process of the photovoltaic power generation equipment; represents the learning factor; Indicated in Time Group characteristic data; Indicated in Time Deviation data of group characteristics.

3. The photovoltaic power generation park monitoring method based on artificial intelligence according to claim 1 is characterized in that: The step S2 calculates the abnormal alarm base of the park , based on the adaptive overall integration of different groups of photovoltaic power generation equipment operating data and photovoltaic power generation equipment operating performance , the specific process is as follows: in, Represents the sensitivity adjustment coefficient.

4. The photovoltaic power generation park monitoring method based on artificial intelligence according to claim 3 is characterized in that: The step S2 specifically includes: in, , , , Respectively represent the expected power generation value of the photovoltaic park , power stability expected value , average power generation , Photovoltaic power generation fluctuations The weight coefficient corresponding to the standard deviation.

5. The photovoltaic power generation park monitoring method based on artificial intelligence according to claim 1 is characterized in that: The step S3 specifically includes: When the abnormal alarm base is not exceeded, that is, the pre-alarm system is not activated, the photovoltaic power generation park photoelectric conversion efficiency is determined based on the light intensity and power generation power. .

6. The photovoltaic power generation park monitoring method based on artificial intelligence according to claim 5 is characterized in that: The step S3 specifically includes: The high efficiency and medium photoelectric conversion efficiency of photovoltaic power generation parks are set as , the threshold between medium and low efficiency is ,and , the photovoltaic power generation park photoelectric conversion efficiency Respectively , Compare the results; the preset manual regular inspection frequency of the photovoltaic power generation park is .

7. The photovoltaic power generation park monitoring method based on artificial intelligence according to claim 1 is characterized in that: The step S3 specifically includes: Set the first relative deviation degree to The second relative deviation is , the abnormal situation is determined according to the comparison result of the abnormal alarm base, and the abnormal situation of the photovoltaic power generation park includes the first abnormal situation, the second abnormal situation, and the third abnormal situation.

8. The photovoltaic power generation park monitoring method based on artificial intelligence according to claim 1 is characterized in that: The step S5 specifically includes: The standard revenue of the photovoltaic power generation park is set in advance according to the historical electricity consumption and the electricity generated by the photovoltaic power generation park. At the same time, the revenue situation is compared, and it is determined whether to activate the photovoltaic power generation park alarm system based on the comparison results.

9. A photovoltaic power generation park monitoring system based on artificial intelligence, applied to the photovoltaic power generation park monitoring method based on artificial intelligence described in claim 1, characterized in that: Includes the following: Park data collection module, data processing and integration module, abnormal alarm base acquisition module, manual regular inspection frequency determination module, park monitoring and alarm module; The park data acquisition module monitors and collects data from the photovoltaic power generation park in real time through sensors and monitoring equipment, and provides real-time operation data for the system; The data processing and integration module is responsible for processing, cleaning, weighted fusion, integration and analysis of the collected data so that the system can extract useful information and insights from it; The abnormal alarm cardinality acquisition module calculates the abnormal alarm cardinality based on historical data and real-time monitoring data to evaluate whether the system operation status is normal; The manual periodic inspection frequency determination module presets the manual periodic inspection frequency of the photovoltaic power generation park according to the photoelectric conversion efficiency status of the photovoltaic power generation park, and then obtains the manual periodic inspection frequency adjustment parameter of the photovoltaic power generation park in combination with the inclination angle and orientation angle of the photovoltaic panel, and determines the manual periodic inspection frequency of the photovoltaic power generation park; The park monitoring and alarm module is used to monitor the operation of the system, trigger alarms and send notifications to relevant personnel based on abnormal alarms and preset rules, so as to deal with potential problems in a timely manner.

10. The photovoltaic power generation park monitoring system based on artificial intelligence according to claim 9, characterized in that: The park monitoring and alarm module includes a primary monitoring unit and a secondary monitoring unit; The first-level monitoring unit determines whether to activate the pre-alarm system based on the relative deviation between the monitoring value of the photovoltaic power generation equipment in the park and the operating performance of the photovoltaic power generation equipment, and compares it with the abnormal alarm base of the park; The secondary monitoring unit calculates the working revenue of the photovoltaic power generation park based on the improved manual regular inspection frequency, the cost of the photovoltaic power generation park, and the fault conditions of the photovoltaic power generation park, sets the standard revenue of the photovoltaic power generation park, and compares the revenue conditions at the same time, and determines whether to start the photovoltaic power generation park alarm system based on the comparison results.

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