Airport flying area water surface floating photovoltaic power generation system test method and platform

Abstract

The invention provides an airport flying area water surface floating photovoltaic power generation system testing method and platform, and relates to the technical field of airport flying area water surface floating photovoltaic power generation system testing. System information is acquired, and preset function area information and preset operation type information are divided; performing corresponding type test and corresponding area test to obtain a test judgment result; actual operation is monitored, operation analysis is conducted on each preset function area and each preset operation type, and a type operation judgment result and an area operation judgment result are obtained; the method comprises the following steps: dividing a preset function region and a preset operation type, respectively carrying out test and operation difference analysis on the same preset function region and the same preset operation type and region, obtaining a difference analysis result of the type and the operation, and further carrying out corresponding early warning. Potential problems are found in time, the stability and reliability of the system are improved, and the failure rate and maintenance cost are reduced.

Description

Technical Field

[0001] The present invention proposes a testing method and platform for a photovoltaic power generation system floating on the water surface of an airport flight zone, and relates to the technical field of power generation system testing, and specifically to the technical field of photovoltaic power generation system floating on the water surface of an airport flight zone. Background Art

[0002] As an important hub of air transportation, the airport airfield has extremely high requirements for safety performance and operational stability. The performance monitoring, fault warning and optimization management of the floating photovoltaic power generation system on the water surface in actual operation have become technical problems that need to be solved urgently.

[0003] Traditionally, the performance monitoring of photovoltaic power generation systems mainly relies on regular inspections and manual records. This method is not only time-consuming and labor-intensive, but also difficult to detect potential problems in a timely and accurate manner. In addition, for the special application scenario of the airport flight zone, the floating photovoltaic power generation system on the water surface faces a complex and changeable natural environment and strict aviation safety standards, and its performance monitoring and early warning mechanism needs to be more intelligent and refined. Most of the existing photovoltaic power generation system performance monitoring technologies remain at the monitoring level of a single device or component, lacking a comprehensive evaluation of the overall system performance and regional performance. At the same time, these technologies often focus on the diagnosis and processing after the failure occurs, while ignoring the early warning and prevention before the failure, resulting in high costs for fault detection and repair, and may have an adverse impact on the normal operation of the airport flight zone. Summary of the invention

[0004] The present invention provides a method and platform for testing a floating photovoltaic power generation system on the water surface of an airport flight area to solve the above problems: The present invention proposes a method and platform for testing a floating photovoltaic power generation system on a water surface of an airport flight zone, the method comprising: S1. Acquire the information of the floating photovoltaic power generation system on the water surface of the airport flight area, divide the preset functional area information and the preset operation type information, and extract the area type information; S2. Perform a corresponding type test and a corresponding area test on each preset operation type of each preset functional area to obtain a type test determination result and an area test determination result; S3, monitoring the actual operation of each preset functional area and each preset operation type, and performing operation analysis on each preset functional area and each preset operation type according to the monitoring data of the actual operation to obtain a type operation determination result and a regional operation determination result; S4. Perform test and operation difference analysis on the types and areas of the same preset functional area and the same preset operation type, obtain the type and operation difference analysis results, and then issue corresponding warnings.

[0005] Furthermore, the S1 includes: Acquire information of a water surface floating photovoltaic power generation system in an airport flight area, classify the water surface floating photovoltaic power generation system information according to preset functional area types, and acquire system area information of multiple preset functional areas; Classifying the system area information according to preset operation categories to obtain operation category information of multiple preset operation categories; Preprocessing the system area information and the operation type information to obtain preprocessed system area information and operation type information; Each operation type information of each system area information is packaged and extracted to obtain the area type information.

[0006] Further, the S2 includes: For each preset operation type of each preset functional area, set a corresponding type test parameter of the preset operation type; Obtaining type test result data corresponding to the corresponding type test parameter; Calculate the type test coefficient corresponding to the preset operation type according to the type test result data; Comparing the type test coefficient with a preset type test threshold to obtain a type test analysis result; Performing a test analysis and determination on the corresponding preset operation type according to the type test analysis result to obtain a type test determination result; Calculate the area test coefficient for each area according to each type test coefficient for each preset operation type of each preset functional area; Compare the regional test coefficient with a preset regional test threshold to obtain a regional test analysis result; According to the regional test analysis result, a test analysis and determination is performed on the corresponding preset functional area to obtain a regional test determination result.

[0007] Further, the S3 includes: Monitor the actual operation of each preset operation type of each preset functional area; Obtaining the type operation data of the actual operation; Calculate a type operation coefficient corresponding to a preset operation type according to the type operation data; Comparing the type operation coefficient with a preset type operation threshold to obtain a type operation analysis result; Performing operation analysis and determination on the corresponding preset operation type according to the type operation analysis result to obtain a type operation determination result; Calculate the regional operation coefficient of each area according to each type of operation coefficient of each preset operation type of each preset functional area; Comparing the regional operation coefficient with a preset regional operation threshold to obtain a regional operation analysis result; An operation analysis and determination is performed on the corresponding preset functional area according to the regional operation analysis result to obtain a regional operation determination result.

[0008] Further, the S4 includes: Calculate the difference between the type operation coefficient and the type test coefficient of the same preset operation type of the same preset functional area to obtain the type test operation difference; Compare the type test running difference with a preset type difference threshold to obtain a type difference comparison result; Perform deviation determination on the type test run according to the type difference comparison result to obtain a type deviation determination result; Calculate the difference between the regional operation coefficient and the regional test coefficient of the same preset functional area to obtain the regional test operation difference; Compare the regional test running difference with a preset regional difference threshold to obtain a regional difference comparison result; According to the type difference comparison results and the area difference comparison results, test abnormality warnings are issued for the corresponding types and corresponding areas.

[0009] Furthermore, the test platform comprises: The monitoring division module is used to obtain the information of the floating photovoltaic power generation system on the water surface of the airport flight area, divide the preset functional area information and its preset operation type information, and extract the area type information; A test analysis module, used to perform a corresponding type test and a corresponding area test on each preset operation type of each preset functional area, and obtain a type test determination result and an area test determination result; An operation analysis module is used to monitor the actual operation of each preset functional area and each preset operation type, and perform operation analysis on each preset functional area and each preset operation type according to the monitoring data of the actual operation to obtain a type operation determination result and a regional operation determination result; The deviation warning module is used to perform test and operation difference analysis on the types and areas of the same preset functional area and the same preset operation type, obtain the difference analysis results of the types and operations, and then issue corresponding warnings.

[0010] Furthermore, the monitoring division module includes: A region division module is used to obtain information about a water surface floating photovoltaic power generation system in an airport flight area, classify the water surface floating photovoltaic power generation system information according to preset functional area types, and obtain system area information of multiple preset functional areas; A category classification module, used to classify the system area information according to preset operation categories, and obtain operation category information of multiple preset operation categories; A preprocessing module, used for preprocessing the system area information and the operation type information to obtain the preprocessed system area information and the operation type information; The packaging module is used to package and extract each operation type information of each system area information to obtain area type information.

[0011] Furthermore, the test analysis module includes: A type test module, used for setting a corresponding type test parameter of each preset operation type of each preset functional area; Obtaining type test result data corresponding to the corresponding type test parameter; A type test calculation module, used to calculate a type test coefficient corresponding to a preset running type according to type test result data; Comparing the type test coefficient with a preset type test threshold to obtain a type test analysis result; A type determination module, used to perform test analysis and determination on the corresponding preset operation type according to the type test analysis result, and obtain a type test determination result; A regional test calculation module, used for calculating a regional test coefficient of each region according to each type of test coefficient of each preset operation type of each preset functional region; Compare the regional test coefficient with a preset regional test threshold to obtain a regional test analysis result; The area determination module is used to perform test analysis and determination on the corresponding preset functional area according to the area test analysis result to obtain the area test determination result.

[0012] Furthermore, the operation analysis module includes: A type operation monitoring module is used to monitor the actual operation of each preset operation type of each preset functional area; Obtaining the type operation data of the actual operation; A type operation calculation module, used for calculating a type operation coefficient corresponding to a preset operation type according to the type operation data; Comparing the type operation coefficient with a preset type operation threshold to obtain a type operation analysis result; A type operation determination module is used to perform operation analysis and determination on a corresponding preset operation type according to the type operation analysis result to obtain a type operation determination result; A regional operation calculation module, used for calculating a regional operation coefficient of each region according to each type of operation coefficient of each preset operation type of each preset functional region; Comparing the regional operation coefficient with a preset regional operation threshold to obtain a regional operation analysis result; The regional operation determination module is used to perform operation analysis and determination on the corresponding preset functional area according to the regional operation analysis result to obtain the regional operation determination result.

[0013] Furthermore, the deviation warning module includes: A difference calculation module, used for performing difference calculation on the type operation coefficient and the type test coefficient of the same preset operation type of the same preset functional area to obtain the type test operation difference; A deviation determination module, used for comparing the type test running difference with a preset type difference threshold to obtain a type difference comparison result; Perform deviation determination on the type test run according to the type difference comparison result to obtain a type deviation determination result; Calculate the difference between the regional operation coefficient and the regional test coefficient of the same preset functional area to obtain the regional test operation difference; An abnormal warning module is used to compare the regional test operation difference with a preset regional difference threshold to obtain a regional difference comparison result; According to the type difference comparison results and the area difference comparison results, test abnormality warnings are issued for the corresponding types and corresponding areas.

[0014] Beneficial effects of the present invention: Through refined division of functional areas and operation types, as well as targeted testing and monitoring, bottlenecks and problems in the system can be discovered and solved in a timely manner, thereby improving the operating efficiency of the entire photovoltaic power generation system. Through testing and monitoring of different areas of the system, potential faults and safety hazards in the system can be discovered and repaired in a timely manner, enhancing the stability and safety of the system. According to the test and monitoring results, resources (such as maintenance personnel, spare parts, etc.) can be allocated more reasonably, maintenance plans and scheduling strategies can be optimized, and operation and maintenance costs can be reduced. Through difference analysis and early warning mechanisms, early detection and early warning of system abnormalities can be achieved, providing timely and accurate information support for decision makers, and improving emergency response speed and disposal capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of a method for testing a floating photovoltaic power generation system on the water surface of an airport flight area; Figure 2 This is a schematic diagram of a test system for a floating photovoltaic power generation system on the water surface of an airport flight area. DETAILED DESCRIPTION

[0016] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0017] In one embodiment of the present invention, a method and platform for testing a floating photovoltaic power generation system on a water surface of an airport flight zone is proposed by the present invention. The method comprises: S1. Acquire the information of the floating photovoltaic power generation system on the water surface of the airport flight area, divide the preset functional area information and the preset operation type information, and extract the area type information; S2. Perform a corresponding type test and a corresponding area test on each preset operation type of each preset functional area to obtain a type test determination result and an area test determination result; S3, monitoring the actual operation of each preset functional area and each preset operation type, and performing operation analysis on each preset functional area and each preset operation type according to the monitoring data of the actual operation to obtain a type operation determination result and a regional operation determination result; S4. Perform test and operation difference analysis on the types and areas of the same preset functional area and the same preset operation type, obtain the type and operation difference analysis results, and then issue corresponding warnings.

[0018] The working principle of the above technical solution is: through data collection means (such as sensors, database queries, etc.), detailed information of the floating photovoltaic power generation system on the water surface in the airport flight area is obtained, including its layout, capacity, configuration, etc. According to the layout and functional requirements of the system, the floating photovoltaic power generation system on the water surface is divided into multiple preset functional areas, such as power generation area, floating support area, etc. For each preset functional area, according to its operating characteristics and requirements, it is further divided into different preset operating types, such as power generation mode, power storage mode, power conversion mode, etc. From the above division, each functional area and its corresponding operating type information are extracted. For each preset operating type of each preset functional area, corresponding type test and corresponding area test are performed. This includes performance tests (such as power generation efficiency, stability), safety tests (such as short circuit protection, overload protection), etc., to obtain type test judgment results and area test judgment results. In the actual operation process, each preset functional area and each preset operating type are monitored in real time, and operating data (such as power generation, failure rate, maintenance records, etc.) are collected. Based on these data, each preset functional area and each preset operating type are analyzed for operation, and type operation judgment results and area operation judgment results are obtained. The types and areas of the same preset functional area and the same preset operation type are tested and analyzed for differences in operation. This includes comparing the performance differences and failure rate differences of different areas or types under the same conditions to obtain the difference analysis results of types and operations. According to the difference analysis results, if the performance or operation status of a preset functional area or preset operation type deviates significantly from the normal range, the early warning mechanism is triggered to prompt relevant personnel to take timely measures to intervene or adjust.

[0019] The technical effect of the above technical solution is: through the refined division of functional areas and operation types, as well as targeted testing and monitoring, bottlenecks and problems in the system can be discovered and solved in a timely manner, thereby improving the operating efficiency of the entire photovoltaic power generation system. Through regular testing and monitoring, potential faults and safety hazards in the system can be discovered and repaired in a timely manner, and the stability and safety of the system can be enhanced. According to the test and monitoring results, resources (such as maintenance personnel, spare parts, etc.) can be allocated more reasonably, maintenance plans and scheduling strategies can be optimized, and operation and maintenance costs can be reduced. Through difference analysis and early warning mechanisms, early detection and early warning of system abnormalities can be achieved, providing decision makers with timely and accurate information support, and improving emergency response speed and disposal capabilities.

[0020] In one embodiment of the present invention, the S1 includes: Acquire information of a water surface floating photovoltaic power generation system in an airport flight area, classify the water surface floating photovoltaic power generation system information according to preset functional area types, and acquire system area information of multiple preset functional areas; Classifying the system area information according to preset operation categories to obtain operation category information of multiple preset operation categories; Preprocessing the system area information and the operation type information to obtain preprocessed system area information and operation type information; Each operation type information of each system area information is packaged and extracted to obtain the area type information.

[0021] The working principle of the above technical solution is: through data collection means (such as sensor networks, remote monitoring systems, etc.), the detailed information of the floating photovoltaic power generation system on the water surface in the airport flight area is fully obtained, including geographical location, installed capacity, equipment status, power generation efficiency, etc. According to the functional layout and design requirements of the system, the floating photovoltaic power generation system on the water surface is divided into multiple preset functional areas, such as high-efficiency power generation area, maintenance convenience area, safety isolation area, etc. Information is extracted from each functional area to form system area information. Further, according to the operation mode and requirements of the system, the system area information of each preset functional area is classified according to the preset operation type, such as daytime high-efficiency power generation mode, nighttime low power consumption mode, emergency standby mode, etc. In this way, different operation type information under each functional area is extracted separately to form operation type information. Preprocessing system area information and operation type information: Preprocessing the extracted system area information and operation type information, including data cleaning (removing redundant and erroneous data), data formatting (unifying data format), data normalization (converting data into a unified dimension), etc. Package and extract each operation type information of each system area information: Integrate the pre-processed system area information and operation type information, package and extract each operation type under each system area, and form area type information. This information contains the detailed status and data of each functional area under different operation types.

[0022] The technical effects of the above technical scheme are as follows: by classifying and preprocessing the information of the floating photovoltaic power generation system on the water surface of the airport flight area, the utilization rate and accuracy of the information are improved. By dividing the preset functional areas and operation types, the refined management and optimization of the system are realized. This helps system administrators to better understand the operating status and performance of the system, and to discover and solve potential problems in a timely manner. The preprocessed system area information and operation type information are more standardized and unified. This helps to discover the laws and trends of system operation. By packaging and extracting the area type information, comprehensive and detailed data support is provided to decision makers. This helps decision makers to understand the actual situation of the system more accurately, make decisions quickly, and improve decision efficiency and accuracy.

[0023] In one embodiment of the present invention, S2 includes: For each preset operation type of each preset functional area, set a corresponding type test parameter of the preset operation type; Obtaining type test result data corresponding to the corresponding type test parameter; Calculate the type test coefficient corresponding to the preset operation type according to the type test result data; The calculation formula for the type test coefficient is:

[0024] Among them, ZC is the type test coefficient, q is the number of preset functional areas, b is the number of type test indicators, B sia To calculate the actual data of the ath test index of the i-th region of the category, B yia To calculate the preset data of the ath test index of the i-th region of the category, Z q To calculate the preset weights of categories; the test indicators include various categories of test purposes.

[0025] Comparing the type test coefficient with a preset type test threshold to obtain a type test analysis result; Performing a test analysis and determination on the corresponding preset operation type according to the type test analysis result to obtain a type test determination result; When the type test coefficient is greater than the preset type test threshold, the type test is determined to be qualified, otherwise it is unqualified.

[0026] Calculate the area test coefficient for each area according to each type test coefficient for each preset operation type of each preset functional area; The calculation formula of the regional test coefficient is:

[0027] Where QC is the regional test coefficient, e is the total number of preset operation types in the calculation area, and ZC so To calculate the type test coefficient for the oth preset operating type in the area, ZC yo The type test preset coefficient for the oth preset operation type in the calculation area, U q The preset weight for the calculation area; Compare the regional test coefficient with a preset regional test threshold to obtain a regional test analysis result; Performing test analysis and determination on the corresponding preset functional area according to the regional test analysis result to obtain the regional test determination result; When the regional test coefficient is greater than a preset regional test threshold, the regional test is determined to be qualified, otherwise it is determined to be unqualified.

[0028] The working principle of the above technical solution is: for each preset operation type of each preset functional area, the corresponding type test parameters are set according to the design requirements, performance standards and test requirements of the system. These parameters include test conditions (such as light intensity, temperature, humidity, etc.), test time, test method, test index, etc. Under the set test conditions, the corresponding test method is executed to obtain the type test result data under the corresponding type test parameters. These data include power generation, efficiency, stability index, failure rate, etc. According to the obtained type test result data, the type test coefficient of the corresponding preset operation type is calculated. This coefficient reflects the performance of the operation type under the current test conditions. The calculated type test coefficient is compared with the preset type test threshold to analyze whether the operation type meets the expected performance standards. According to the comparison result, the type test analysis result is obtained, and the corresponding preset operation type is tested and analyzed to determine the type test determination result (such as qualified, unqualified, need further optimization, etc.). For each preset functional area, the regional test coefficient of the area is calculated according to the type test coefficients of all preset operation types in the area. This coefficient reflects the overall performance of the area. The calculated regional test coefficient is compared with the preset regional test threshold to analyze whether the area meets the expected performance standards. Based on the comparison results, the regional test analysis results are obtained, and the corresponding preset functional areas are tested, analyzed and judged to obtain the regional test judgment results (such as good overall performance, performance bottlenecks, and need for special attention).

[0029] The technical effect of the above technical solution is: by setting corresponding test parameters for each preset operation type of each preset functional area, a refined test and evaluation of system performance is achieved. The comparison ratio between the actual data and the preset data of all indicators in all regions of the calculation type under a specific weight can be calculated, which reflects the test coefficient of the calculation type. The larger the coefficient, the better the test performance of the calculation type. The ratio of the actual test coefficient of all types under the regional weight in the preset functional area to the preset data can be calculated, which reflects the test coefficient of the area. The larger the coefficient, the better the test performance of the area; this helps to find the performance differences under different areas and operation types. By calculating the type test coefficient and the regional test coefficient and comparing them with the preset test threshold as the benchmark, an objective evaluation of system performance is achieved. This helps to avoid subjective assumptions and biases and improve the accuracy and reliability of the evaluation results. According to the type test analysis results and the regional test analysis results, the advantages and disadvantages of the system performance can be clearly identified. This helps to improve the overall performance of the system, reduce operating costs, and improve economic benefits. The efficiency and consistency of the test are improved through standardized test processes and parameter settings. This helps to reduce test time and costs while ensuring the accuracy and comparability of test results.

[0030] In one embodiment of the present invention, S3 includes: Monitor the actual operation of each preset operation type of each preset functional area; Obtaining the type operation data of the actual operation; Calculate a type operation coefficient corresponding to a preset operation type according to the type operation data; The calculation formula of the type operation coefficient is:

[0031] Among them, ZY is the type operation coefficient, q is the number of preset functional areas, n is the number of type operation indicators, X sil To calculate the actual data of the lth operating index of the ith region of the category, X yil To calculate the preset data of the lth operating index of the ith region of the category, Z q To calculate the preset weights of the categories; the operation indicators include various categories of operation purposes.

[0032] Comparing the type operation coefficient with a preset type operation threshold to obtain a type operation analysis result; Performing operation analysis and determination on the corresponding preset operation type according to the type operation analysis result to obtain a type operation determination result; When the type test run is greater than the preset type run threshold, the type run is determined to be qualified, otherwise it is unqualified.

[0033] Calculate the regional operation coefficient of each area according to each type of operation coefficient of each preset operation type of each preset functional area; The calculation formula of the regional operation coefficient is:

[0034] Where QY is the regional operation coefficient, e is the total number of preset operation types in the calculation area, ZYso is the type operation coefficient of the oth preset operation type in the calculation area, and ZY yo is the type operation preset coefficient of the oth preset operation type in the calculation area, U q The preset weight for the calculation area; Comparing the regional operation coefficient with a preset regional operation threshold to obtain a regional operation analysis result; Performing operation analysis and determination on the corresponding preset functional area according to the regional operation analysis result to obtain the regional operation determination result; When the regional operation coefficient is greater than a preset regional operation threshold, the regional operation is determined to be qualified, otherwise it is unqualified.

[0035] The working principle of the above technical solution is: continuous actual operation monitoring of each preset operation type of each preset functional area. This usually involves installing sensors, using remote monitoring systems or data acquisition systems to collect data on system performance, status and environmental conditions in real time or regularly. From the actual operation data obtained during the monitoring process, extract data directly related to each preset operation type, including key performance indicators such as power generation, efficiency, failure rate, response time, etc. Calculate the type operation coefficient of the corresponding preset operation type based on the collected type operation data. This coefficient reflects the performance of the operation type in actual operation. Compare the calculated type operation coefficient with the preset type operation threshold to evaluate whether the operation type meets the established performance standards and requirements. According to the comparison result, obtain the type operation analysis result, and perform operation analysis judgment on the corresponding preset operation type to obtain the type operation judgment result. For each preset functional area, calculate the regional operation coefficient of the area based on the type operation coefficients of all preset operation types in the area. This coefficient reflects the actual operation performance of the area as a whole. Compare the calculated regional operation coefficient with the preset regional operation threshold to evaluate whether the area meets the established performance standards and requirements. According to the comparison results, the regional operation analysis results are obtained, and the operation analysis and judgment of the corresponding preset functional areas are performed to obtain the regional operation judgment results.

[0036] The technical effect of the above technical solution is: through continuous actual operation monitoring, the system performance status can be grasped in real time, potential problems can be discovered and solved in time, and the stability and reliability of the system can be improved. Using the type operation coefficient and the regional operation coefficient as evaluation indicators can objectively and accurately reflect the performance of the system and each type of operation, avoiding subjective assumptions and prejudices. The comparison ratio between the actual data of all indicators in all areas of the calculation type under a specific weight and the preset data can be calculated, which reflects the operation coefficient of the calculation type. The larger the coefficient, the better the operation performance of the calculation type.

[0037] Based on the type and region operation analysis results, the advantages and disadvantages of system performance can be identified, and the overall performance and efficiency of the system can be improved. Through continuous monitoring and analysis of system performance, potential failure points can be predicted, and preventive measures can be taken in time to reduce the possibility and impact of failures. Automated and intelligent monitoring systems can reduce manual intervention, improve management efficiency, and ensure data accuracy and consistency.

[0038] In one embodiment of the present invention, the S4 includes: Calculate the difference between the type operation coefficient and the type test coefficient of the same preset operation type of the same preset functional area to obtain the type test operation difference; Compare the type test running difference with a preset type difference threshold to obtain a type difference comparison result; Perform deviation determination on the type test run according to the type difference comparison result to obtain a type deviation determination result; Calculate the difference between the regional operation coefficient and the regional test coefficient of the same preset functional area to obtain the regional test operation difference; Compare the regional test running difference with a preset regional difference threshold to obtain a regional difference comparison result; According to the type difference comparison results and the area difference comparison results, test abnormality warnings are issued for the corresponding types and corresponding areas.

[0039] The working principle of the above technical solution is as follows: for the same preset operation type in the same preset functional area, the difference between its type operation coefficient in actual operation and the type test coefficient obtained under the test conditions is calculated. This difference reflects the degree of deviation between the actual operation performance and the test performance, which is recorded as the type test operation difference. The calculated type test operation difference is compared with the preset type difference threshold. If the difference exceeds the threshold, it means that there is a large deviation between the actual operation performance and the test performance, and further investigation or adjustment may be required. According to the comparison result, the type test operation is judged to deviate and the type deviation judgment result is obtained. For the same preset functional area, the difference between its regional operation coefficient and the regional test coefficient obtained under the test conditions is calculated to obtain the regional test operation difference. This difference reflects the degree of deviation between the performance of the entire area in actual operation and the test performance. The calculated regional test operation difference is compared with the preset regional difference threshold. If the difference exceeds the threshold, it means that there is a significant deviation between the actual operation performance of the area and the test performance, which may mean that there is some abnormality or potential problem in the area. Combined with the type difference comparison result and the regional difference comparison result, the corresponding type and area are comprehensively judged. If a category or area is judged to be deviant or abnormal, a test abnormality warning is triggered, prompting management personnel to conduct further investigation, analysis or take necessary maintenance measures.

[0040] The technical effect of the above technical solution is: by calculating the type test running difference and the regional test running difference, the degree of deviation between the actual running performance and the test performance can be more accurately evaluated, thereby improving the precision and accuracy of performance monitoring. The type deviation judgment and regional abnormality early warning mechanism can timely discover potential problems in actual operation, provide timely decision-making support for managers, and avoid further deterioration of the problem or more serious consequences. By timely discovering and solving performance deviations or abnormal problems, the overall performance of the system can be optimized, the stability and reliability of the system can be improved, and the failure rate and maintenance costs can be reduced. The automated and intelligent monitoring, analysis and early warning system can reduce manual intervention, improve management efficiency, and ensure the accuracy and consistency of data. By continuously monitoring and analyzing performance data, deficiencies in the system can be continuously discovered and improved, promoting continuous improvement and optimization of the system, and improving overall operating efficiency and economic benefits.

[0041] In one embodiment of the present invention, the test platform comprises: The monitoring division module is used to obtain the information of the floating photovoltaic power generation system on the water surface of the airport flight area, divide the preset functional area information and its preset operation type information, and extract the area type information; A test analysis module, used to perform a corresponding type test and a corresponding area test on each preset operation type of each preset functional area, and obtain a type test determination result and an area test determination result; An operation analysis module is used to monitor the actual operation of each preset functional area and each preset operation type, and perform operation analysis on each preset functional area and each preset operation type according to the monitoring data of the actual operation to obtain a type operation determination result and a regional operation determination result; The deviation warning module is used to perform test and operation difference analysis on the types and areas of the same preset functional area and the same preset operation type, obtain the difference analysis results of the types and operations, and then issue corresponding warnings.

[0042] The working principle of the above technical solution is: through data collection means (such as sensors, database queries, etc.), detailed information of the floating photovoltaic power generation system on the water surface in the airport flight area is obtained, including its layout, capacity, configuration, etc. According to the layout and functional requirements of the system, the floating photovoltaic power generation system on the water surface is divided into multiple preset functional areas, such as power generation area, floating support area, etc. For each preset functional area, according to its operating characteristics and requirements, it is further divided into different preset operating types, such as power generation mode, power storage mode, power conversion mode, etc. From the above division, each functional area and its corresponding operating type information are extracted. For each preset operating type of each preset functional area, corresponding type test and corresponding area test are performed. This includes performance tests (such as power generation efficiency, stability), safety tests (such as short circuit protection, overload protection), etc., to obtain type test judgment results and area test judgment results. In the actual operation process, each preset functional area and each preset operating type are monitored in real time, and operating data (such as power generation, failure rate, maintenance records, etc.) are collected. Based on these data, each preset functional area and each preset operating type are analyzed for operation, and type operation judgment results and area operation judgment results are obtained. The types and areas of the same preset functional area and the same preset operation type are tested and analyzed for differences in operation. This includes comparing the performance differences and failure rate differences of different areas or types under the same conditions to obtain the difference analysis results of types and operations. According to the difference analysis results, if the performance or operation status of a preset functional area or preset operation type deviates significantly from the normal range, the early warning mechanism is triggered to prompt relevant personnel to take timely measures to intervene or adjust.

[0043] The technical effect of the above technical solution is: through the refined division of functional areas and operation types, as well as targeted testing and monitoring, bottlenecks and problems in the system can be discovered and solved in a timely manner, thereby improving the operating efficiency of the entire photovoltaic power generation system. Through regular testing and monitoring, potential faults and safety hazards in the system can be discovered and repaired in a timely manner, and the stability and safety of the system can be enhanced. According to the test and monitoring results, resources (such as maintenance personnel, spare parts, etc.) can be allocated more reasonably, maintenance plans and scheduling strategies can be optimized, and operation and maintenance costs can be reduced. Through difference analysis and early warning mechanisms, early detection and early warning of system abnormalities can be achieved, providing decision makers with timely and accurate information support, and improving emergency response speed and disposal capabilities.

[0044] In one embodiment of the present invention, the monitoring division module includes: A region division module is used to obtain information about a water surface floating photovoltaic power generation system in an airport flight area, classify the water surface floating photovoltaic power generation system information according to preset functional area types, and obtain system area information of multiple preset functional areas; A category classification module, used to classify the system area information according to preset operation categories, and obtain operation category information of multiple preset operation categories; A preprocessing module, used for preprocessing the system area information and the operation type information to obtain the preprocessed system area information and the operation type information; The packaging module is used to package and extract each operation type information of each system area information to obtain area type information.

[0045] The working principle of the above technical solution is: through data collection means (such as sensor networks, remote monitoring systems, etc.), the detailed information of the floating photovoltaic power generation system on the water surface in the airport flight area is fully obtained, including geographical location, installed capacity, equipment status, power generation efficiency, etc. According to the functional layout and design requirements of the system, the floating photovoltaic power generation system on the water surface is divided into multiple preset functional areas, such as high-efficiency power generation area, maintenance convenience area, safety isolation area, etc. Information is extracted from each functional area to form system area information. Further, according to the operation mode and requirements of the system, the system area information of each preset functional area is classified according to the preset operation type, such as daytime high-efficiency power generation mode, nighttime low power consumption mode, emergency standby mode, etc. In this way, different operation type information under each functional area is extracted separately to form operation type information. Preprocessing system area information and operation type information: Preprocessing the extracted system area information and operation type information, including data cleaning (removing redundant and erroneous data), data formatting (unifying data format), data normalization (converting data into a unified dimension), etc. Package and extract each operation type information of each system area information: Integrate the pre-processed system area information and operation type information, package and extract each operation type under each system area, and form area type information. This information contains the detailed status and data of each functional area under different operation types.

[0046] The technical effects of the above technical scheme are as follows: by classifying and preprocessing the information of the floating photovoltaic power generation system on the water surface of the airport flight area, the utilization rate and accuracy of the information are improved. By dividing the preset functional areas and operation types, the refined management and optimization of the system are realized. This helps system administrators to better understand the operating status and performance of the system, and to discover and solve potential problems in a timely manner. The preprocessed system area information and operation type information are more standardized and unified. This helps to discover the laws and trends of system operation. By packaging and extracting the area type information, comprehensive and detailed data support is provided to decision makers. This helps decision makers to understand the actual situation of the system more accurately, make decisions quickly, and improve decision efficiency and accuracy.

[0047] In one embodiment of the present invention, the test analysis module includes: A type test module, used for setting a corresponding type test parameter of each preset operation type of each preset functional area; Obtaining type test result data corresponding to the corresponding type test parameter; A type test calculation module, used to calculate a type test coefficient corresponding to a preset running type according to type test result data; The calculation formula for the type test coefficient is:

[0048] Among them, ZC is the type test coefficient, q is the number of preset functional areas, b is the number of type test indicators, B sia To calculate the actual data of the ath test index of the i-th region of the category, B yia To calculate the preset data of the ath test index of the i-th region of the category, Z q To calculate the preset weights of categories; the test indicators include various categories of test purposes.

[0049] Comparing the type test coefficient with a preset type test threshold to obtain a type test analysis result; A type determination module, used to perform test analysis and determination on the corresponding preset operation type according to the type test analysis result, and obtain a type test determination result; A regional test calculation module, used for calculating a regional test coefficient of each region according to each type of test coefficient of each preset operation type of each preset functional region; The calculation formula of the regional test coefficient is:

[0050] Where QC is the regional test coefficient, e is the total number of preset operation types in the calculation area, and ZC so To calculate the type test coefficient for the oth preset operating type in the area, ZC yo is the type preset coefficient of the oth preset operation type in the calculation area, U q The preset weight for the calculation area; Compare the regional test coefficient with a preset regional test threshold to obtain a regional test analysis result; The area determination module is used to perform test analysis and determination on the corresponding preset functional area according to the area test analysis result to obtain the area test determination result.

[0051] The working principle of the above technical solution is: for each preset operation type of each preset functional area, the corresponding type test parameters are set according to the design requirements, performance standards and test requirements of the system. These parameters include test conditions (such as light intensity, temperature, humidity, etc.), test time, test method, test index, etc. Under the set test conditions, the corresponding test method is executed to obtain the type test result data under the corresponding type test parameters. These data include power generation, efficiency, stability index, failure rate, etc. According to the obtained type test result data, the type test coefficient of the corresponding preset operation type is calculated. This coefficient reflects the performance of the operation type under the current test conditions. The calculated type test coefficient is compared with the preset type test threshold to analyze whether the operation type meets the expected performance standards. According to the comparison result, the type test analysis result is obtained, and the corresponding preset operation type is tested and analyzed to determine the type test determination result (such as qualified, unqualified, need further optimization, etc.). For each preset functional area, the regional test coefficient of the area is calculated according to the type test coefficients of all preset operation types in the area. This coefficient reflects the overall performance of the area. The calculated regional test coefficient is compared with the preset regional test threshold to analyze whether the area meets the expected performance standards. Based on the comparison results, the regional test analysis results are obtained, and the corresponding preset functional areas are tested, analyzed and judged to obtain the regional test judgment results (such as good overall performance, performance bottlenecks, and need for special attention).

[0052] The technical effect of the above technical solution is: by setting corresponding test parameters for each preset operation type of each preset functional area, refined testing and evaluation of system performance is achieved. This helps to discover performance differences in different areas and operation types. By calculating the type test coefficient and the regional test coefficient, and comparing them based on the preset test threshold, an objective evaluation of system performance is achieved. This helps to avoid subjective assumptions and biases and improve the accuracy and reliability of the evaluation results. According to the type test analysis results and the regional test analysis results, the advantages and disadvantages of the system performance can be clearly identified. This helps to improve the overall performance of the system, reduce operating costs, and improve economic benefits. The efficiency and consistency of the test are improved through standardized test processes and parameter settings. This helps to reduce testing time and costs while ensuring the accuracy and comparability of test results.

[0053] In one embodiment of the present invention, the operation analysis module includes: A type operation monitoring module is used to monitor the actual operation of each preset operation type of each preset functional area; Obtaining the type operation data of the actual operation; A type operation calculation module, used for calculating a type operation coefficient corresponding to a preset operation type according to the type operation data; The calculation formula of the type operation coefficient is:

[0054] Among them, ZY is the type operation coefficient, q is the number of preset functional areas, n is the number of type operation indicators, X sil To calculate the actual data of the lth operating index of the ith region of the category, X yil To calculate the preset data of the lth operating index of the ith region of the category, Z q To calculate the preset weights of the categories; the operation indicators include various categories of operation purposes.

[0055] Comparing the type operation coefficient with a preset type operation threshold to obtain a type operation analysis result; A type operation determination module is used to perform operation analysis and determination on a corresponding preset operation type according to the type operation analysis result to obtain a type operation determination result; A regional operation calculation module, used for calculating a regional operation coefficient of each region according to each type of operation coefficient of each preset operation type of each preset functional region; The calculation formula of the regional operation coefficient is:

[0056] Where QY is the regional operation coefficient, e is the total number of preset operation types in the calculation area, ZYso is the type operation coefficient of the oth preset operation type in the calculation area, and ZY yo is the type operation preset coefficient of the oth preset operation type in the calculation area, U q The preset weight for the calculation area; Comparing the regional operation coefficient with a preset regional operation threshold to obtain a regional operation analysis result; The regional operation determination module is used to perform operation analysis and determination on the corresponding preset functional area according to the regional operation analysis result to obtain the regional operation determination result.

[0057] The working principle of the above technical solution is: continuous actual operation monitoring of each preset operation type of each preset functional area. This usually involves installing sensors, using remote monitoring systems or data acquisition systems to collect data on system performance, status and environmental conditions in real time or regularly. From the actual operation data obtained during the monitoring process, extract data directly related to each preset operation type, including key performance indicators such as power generation, efficiency, failure rate, response time, etc. Calculate the type operation coefficient of the corresponding preset operation type based on the collected type operation data. This coefficient reflects the performance of the operation type in actual operation. Compare the calculated type operation coefficient with the preset type operation threshold to evaluate whether the operation type meets the established performance standards and requirements. According to the comparison result, obtain the type operation analysis result, and perform operation analysis judgment on the corresponding preset operation type to obtain the type operation judgment result. For each preset functional area, calculate the regional operation coefficient of the area based on the type operation coefficients of all preset operation types in the area. This coefficient reflects the actual operation performance of the area as a whole. Compare the calculated regional operation coefficient with the preset regional operation threshold to evaluate whether the area meets the established performance standards and requirements. According to the comparison results, the regional operation analysis results are obtained, and the operation analysis and judgment of the corresponding preset functional areas are performed to obtain the regional operation judgment results.

[0058] The technical effects of the above technical solutions are as follows: through continuous actual operation monitoring, the system's performance status can be grasped in real time, potential problems can be discovered and solved in a timely manner, and the stability and reliability of the system can be improved. Using the type operation coefficient and the regional operation coefficient as evaluation indicators can objectively and accurately reflect the performance of the system and each type of operation, avoiding subjective assumptions and prejudices. According to the type operation analysis results and the regional operation analysis results, the advantages and disadvantages of the system performance can be clarified to improve the overall performance and efficiency of the system. Through continuous monitoring and analysis of system performance, potential failure points can be predicted, and preventive measures can be taken in time to reduce the possibility and impact of failures. Automated and intelligent monitoring systems can reduce manual intervention, improve management efficiency, and ensure the accuracy and consistency of data.

[0059] In one embodiment of the present invention, the deviation warning module includes: A difference calculation module, used for performing difference calculation on the type operation coefficient and the type test coefficient of the same preset operation type of the same preset functional area to obtain the type test operation difference; A deviation determination module, used for comparing the type test running difference with a preset type difference threshold to obtain a type difference comparison result; Perform deviation determination on the type test run according to the type difference comparison result to obtain a type deviation determination result; Calculate the difference between the regional operation coefficient and the regional test coefficient of the same preset functional area to obtain the regional test operation difference; An abnormal warning module is used to compare the regional test operation difference with a preset regional difference threshold to obtain a regional difference comparison result; According to the type difference comparison results and the area difference comparison results, test abnormality warnings are issued for the corresponding types and corresponding areas.

[0060] The working principle of the above technical solution is as follows: for the same preset operation type in the same preset functional area, the difference between its type operation coefficient in actual operation and the type test coefficient obtained under the test conditions is calculated. This difference reflects the degree of deviation between the actual operation performance and the test performance, which is recorded as the type test operation difference. The calculated type test operation difference is compared with the preset type difference threshold. If the difference exceeds the threshold, it means that there is a large deviation between the actual operation performance and the test performance, and further investigation or adjustment may be required. According to the comparison result, the type test operation is judged to deviate and the type deviation judgment result is obtained. For the same preset functional area, the difference between its regional operation coefficient and the regional test coefficient obtained under the test conditions is calculated to obtain the regional test operation difference. This difference reflects the degree of deviation between the performance of the entire area in actual operation and the test performance. The calculated regional test operation difference is compared with the preset regional difference threshold. If the difference exceeds the threshold, it means that there is a significant deviation between the actual operation performance of the area and the test performance, which may mean that there is some abnormality or potential problem in the area. Combined with the type difference comparison result and the regional difference comparison result, the corresponding type and area are comprehensively judged. If a category or area is judged to be deviant or abnormal, a test abnormality warning is triggered, prompting management personnel to conduct further investigation, analysis or take necessary maintenance measures.

[0061] The technical effect of the above technical solution is: by calculating the type test running difference and the regional test running difference, the degree of deviation between the actual running performance and the test performance can be more accurately evaluated, thereby improving the precision and accuracy of performance monitoring. The type deviation judgment and regional abnormality early warning mechanism can timely discover potential problems in actual operation, provide timely decision-making support for managers, and avoid further deterioration of the problem or more serious consequences. By timely discovering and solving performance deviations or abnormal problems, the overall performance of the system can be optimized, the stability and reliability of the system can be improved, and the failure rate and maintenance costs can be reduced. The automated and intelligent monitoring, analysis and early warning system can reduce manual intervention, improve management efficiency, and ensure the accuracy and consistency of data. By continuously monitoring and analyzing performance data, deficiencies in the system can be continuously discovered and improved, promoting continuous improvement and optimization of the system, and improving overall operating efficiency and economic benefits.

[0062] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for testing a floating photovoltaic power generation system on the water surface of an airport flight area, characterized in that: The test method includes: S1. Acquire the information of the floating photovoltaic power generation system on the water surface of the airport flight area, divide the preset functional area information and the preset operation type information, and extract the area type information; S2. Perform a corresponding type test and a corresponding area test on each preset operation type of each preset functional area to obtain a type test determination result and an area test determination result; S3, monitoring the actual operation of each preset functional area and each preset operation type, and performing operation analysis on each preset functional area and each preset operation type according to the monitoring data of the actual operation to obtain a type operation determination result and a regional operation determination result; S4. Perform test and operation difference analysis on the types and areas of the same preset functional area and the same preset operation type, obtain the type and operation difference analysis results, and then issue corresponding warnings.

2. According to the test method of the airport flight area water surface floating photovoltaic power generation system in claim 1, it is characterized by: The S1 includes: Acquire information of a water surface floating photovoltaic power generation system in an airport flight area, classify the water surface floating photovoltaic power generation system information according to preset functional area types, and acquire system area information of multiple preset functional areas; Classifying the system area information according to preset operation categories to obtain operation category information of multiple preset operation categories; Preprocessing the system area information and the operation type information to obtain preprocessed system area information and operation type information; Each operation type information of each system area information is packaged and extracted to obtain the area type information.

3. According to the method for testing the airport flight area water surface floating photovoltaic power generation system in claim 1, it is characterized in that: The S2 includes: For each preset operation type of each preset functional area, set a corresponding type test parameter of the preset operation type; Obtaining type test result data corresponding to the corresponding type test parameter; Calculate the type test coefficient corresponding to the preset operation type according to the type test result data; Comparing the type test coefficient with a preset type test threshold to obtain a type test analysis result; Performing a test analysis and determination on the corresponding preset operation type according to the type test analysis result to obtain a type test determination result; Calculate the area test coefficient for each area according to each type test coefficient for each preset operation type of each preset functional area; Compare the regional test coefficient with a preset regional test threshold to obtain a regional test analysis result; According to the regional test analysis result, a test analysis and determination is performed on the corresponding preset functional area to obtain a regional test determination result.

4. According to the method for testing the airport flight area water surface floating photovoltaic power generation system in claim 1, it is characterized in that: The S3 includes: Monitor the actual operation of each preset operation type of each preset functional area; Obtaining the type operation data of the actual operation; Calculate a type operation coefficient corresponding to a preset operation type according to the type operation data; Comparing the type operation coefficient with a preset type operation threshold to obtain a type operation analysis result; Performing operation analysis and determination on the corresponding preset operation type according to the type operation analysis result to obtain a type operation determination result; Calculate the regional operation coefficient of each area according to each type of operation coefficient of each preset operation type of each preset functional area; Comparing the regional operation coefficient with a preset regional operation threshold to obtain a regional operation analysis result; An operation analysis and determination is performed on the corresponding preset functional area according to the regional operation analysis result to obtain a regional operation determination result.

5. According to the method for testing the airport flight area water surface floating photovoltaic power generation system in claim 1, it is characterized in that: The S4 includes: Calculate the difference between the type operation coefficient and the type test coefficient of the same preset operation type of the same preset functional area to obtain the type test operation difference; Compare the type test running difference with a preset type difference threshold to obtain a type difference comparison result; Perform deviation determination on the type test run according to the type difference comparison result to obtain a type deviation determination result; Calculate the difference between the regional operation coefficient and the regional test coefficient of the same preset functional area to obtain the regional test operation difference; Compare the regional test running difference with a preset regional difference threshold to obtain a regional difference comparison result; According to the type difference comparison results and the area difference comparison results, test abnormality warnings are issued for the corresponding types and corresponding areas.

6. An airport flight area water surface floating photovoltaic power generation system test platform, characterized in that: The test platform comprises: The monitoring division module is used to obtain the information of the floating photovoltaic power generation system on the water surface of the airport flight area, divide the preset functional area information and its preset operation type information, and extract the area type information; A test analysis module, used to perform a corresponding type test and a corresponding area test on each preset operation type of each preset functional area, and obtain a type test determination result and an area test determination result; An operation analysis module is used to monitor the actual operation of each preset functional area and each preset operation type, and perform operation analysis on each preset functional area and each preset operation type according to the monitoring data of the actual operation to obtain a type operation determination result and a regional operation determination result; The deviation warning module is used to perform test and operation difference analysis on the types and areas of the same preset functional area and the same preset operation type, obtain the difference analysis results of the types and operations, and then issue corresponding warnings.

7. According to claim 6, a test platform for an airport flight area floating photovoltaic power generation system, characterized in that: The monitoring division module includes: A region division module is used to obtain information about a water surface floating photovoltaic power generation system in an airport flight area, classify the water surface floating photovoltaic power generation system information according to preset functional area types, and obtain system area information of multiple preset functional areas; A category classification module, used to classify the system area information according to preset operation categories, and obtain operation category information of multiple preset operation categories; A preprocessing module, used for preprocessing the system area information and the operation type information to obtain the preprocessed system area information and the operation type information; The packaging module is used to package and extract each operation type information of each system area information to obtain area type information.

8. According to claim 6, a test platform for floating photovoltaic power generation system on the water surface of an airport flight area, characterized in that: The test analysis module includes: A type test module, used for setting a corresponding type test parameter of each preset operation type of each preset functional area; Obtaining type test result data corresponding to the corresponding type test parameter; A type test calculation module, used to calculate a type test coefficient corresponding to a preset running type according to type test result data; Comparing the type test coefficient with a preset type test threshold to obtain a type test analysis result; A type determination module, used to perform test analysis and determination on the corresponding preset operation type according to the type test analysis result, and obtain a type test determination result; A regional test calculation module, used for calculating a regional test coefficient of each region according to each type of test coefficient of each preset operation type of each preset functional region; Compare the regional test coefficient with a preset regional test threshold to obtain a regional test analysis result; The area determination module is used to perform test analysis and determination on the corresponding preset functional area according to the area test analysis result to obtain the area test determination result.

9. According to claim 6, a test platform for an airport flight area floating photovoltaic power generation system, characterized in that: The operation analysis module comprises: A type operation monitoring module is used to monitor the actual operation of each preset operation type of each preset functional area; Obtaining the type operation data of the actual operation; A type operation calculation module, used for calculating a type operation coefficient corresponding to a preset operation type according to the type operation data; Comparing the type operation coefficient with a preset type operation threshold to obtain a type operation analysis result; A type operation determination module is used to perform operation analysis and determination on a corresponding preset operation type according to the type operation analysis result to obtain a type operation determination result; A regional operation calculation module, used for calculating a regional operation coefficient of each region according to each type of operation coefficient of each preset operation type of each preset functional region; Comparing the regional operation coefficient with a preset regional operation threshold to obtain a regional operation analysis result; The regional operation determination module is used to perform operation analysis and determination on the corresponding preset functional area according to the regional operation analysis result to obtain the regional operation determination result.

10. The airport flight area water surface floating photovoltaic power generation system test platform according to claim 6, characterized in that: The deviation warning module includes: A difference calculation module, used for performing difference calculation on the type operation coefficient and the type test coefficient of the same preset operation type of the same preset functional area to obtain the type test operation difference; A deviation determination module, used for comparing the type test running difference with a preset type difference threshold to obtain a type difference comparison result; Perform deviation determination on the type test run according to the type difference comparison result to obtain a type deviation determination result; Calculate the difference between the regional operation coefficient and the regional test coefficient of the same preset functional area to obtain the regional test operation difference; An abnormal warning module is used to compare the regional test operation difference with a preset regional difference threshold to obtain a regional difference comparison result; According to the type difference comparison results and the area difference comparison results, test abnormality warnings are issued for the corresponding types and corresponding areas.

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