Performance detection method and device for photo-thermal power generation trough type heat collector
By performing performance detection and evaluation of multiple components of the photothermal power generator heat collector, integrating data to generate inspection reports, the problem of incomplete performance detection in the existing technology is solved, and the photothermal power generator heat collector is realized Efficient and accurate performance detection improves the operating efficiency and reliability of the equipment.
Patent Information
- Application Number
- CN202411413721.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-11
- Publication Date
- 2025-01-03
AI Technical Summary
The existing performance detection methods for photothermal power generator heat collectors are incomplete, resulting in inaccurate performance evaluation and affecting the operating efficiency and reliability of equipment.
Provides performance detection methods and devices for photothermal power generator heat collectors. Through performance detection and evaluation of multiple collector components, data is integrated to generate heat collector performance detection reports, and uses multi-visual vision imaging system and laser profiler It conducts comprehensive inspections and infrared temperature sensors and other equipment, and performs performance evaluation through neural networks.
It realizes comprehensive, efficient and accurate detection of the performance of photothermal power generator heat collectors, and improves the operating efficiency and reliability of the equipment.
Smart Images
Figure CN119246124A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of solar thermal power generation, and in particular to a performance detection method and device for a trough collector for solar thermal power generation. Background Art
[0002] Solar thermal power generation technology uses solar energy as energy, converts solar radiation energy into heat energy through collectors, and then drives generators through heat energy to generate electricity. As one of the important forms, trough solar thermal power generation systems are widely used in large-scale solar power generation projects. The core component of the system is the trough collector, which focuses sunlight onto the heat-absorbing tube through a reflector to achieve efficient energy conversion. However, in the prior art, the performance testing methods of trough collectors for solar thermal power generation often have problems such as inconsistent testing methods, incomplete data collection, and inconsistent evaluation standards. Traditional testing methods usually rely on a single measuring device and cannot fully reflect the actual operating conditions of the collector, resulting in deviations in the overall performance test evaluation results, affecting the overall efficiency and reliability of the equipment.
[0003] There is a technical problem in the prior art that the performance testing of trough collectors for solar thermal power generation is not comprehensive, resulting in inaccurate performance evaluation, which affects the operating efficiency and reliability of the equipment. Summary of the invention
[0004] The present application provides a performance detection method and device for a solar thermal power generation trough collector, which is used to solve the technical problem in the prior art that the performance detection of the solar thermal power generation trough collector is not comprehensive, resulting in inaccurate performance evaluation, affecting the operating efficiency and reliability of the equipment.
[0005] In view of the above problems, the present application provides a performance detection method and device for a solar thermal power generation trough collector.
[0006] The first aspect of the present application provides a performance testing method for a solar thermal power generation trough collector, the method comprising: determining a solar thermal power generation trough collector to be tested, wherein the solar thermal power generation trough collector comprises a plurality of collector components; performing performance tests on the plurality of collector components respectively according to a collector performance testing system to obtain a plurality of component performance testing data; performing performance evaluations on the plurality of collector components respectively according to the plurality of component performance testing data to obtain a plurality of component performance testing evaluation results; and integrating the plurality of component performance testing data and the plurality of component performance testing evaluation results to generate a collector performance testing report.
[0007] The second aspect of the present application provides a performance detection device for a solar thermal power generation trough collector, the device comprising: a solar thermal power generation trough collector determination module, the solar thermal power generation trough collector determination module is used to determine the solar thermal power generation trough collector to be detected, wherein the solar thermal power generation trough collector comprises multiple collector components; a collector component performance detection module, the collector component performance detection module is used to perform performance detection on the multiple collector components according to a collector performance detection system, and obtain multiple component performance detection data; a collector component performance evaluation module, the collector component performance evaluation module is used to perform performance evaluation on the multiple collector components according to the multiple component performance detection data, and obtain multiple component performance detection evaluation results; a data integration module, the data integration module is used to integrate the multiple component performance detection data and the multiple component performance detection evaluation results to generate a collector performance detection report.
[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:
[0009] The method provided in the embodiment of the present application determines a CSP trough collector to be tested, wherein the CSP trough collector includes multiple collector components; performs performance tests on the multiple collector components according to the collector performance test system to obtain multiple component performance test data; performs performance evaluation on the multiple collector components according to the multiple component performance test data to obtain multiple component performance test evaluation results; integrates the multiple component performance test data and the multiple component performance test evaluation results to generate a collector performance test report. This achieves a comprehensive, efficient and accurate test of the performance of the CSP trough collector, and improves the technical effect of the efficient operation efficiency and reliability of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0011] Figure 1 A schematic diagram of a performance testing method for a solar thermal power generation trough collector provided in this application;
[0012] Figure 2 A schematic diagram of the structure of a performance detection device for a solar thermal power generation trough collector provided in this application.
[0013] Explanation of the reference numerals: solar thermal power generation trough collector determination module 11, collector component performance detection module 12, collector component performance evaluation module 13, data integration module 14. DETAILED DESCRIPTION
[0014] The present application provides a performance detection method and device for a CSP trough collector, which is used to solve the technical problem in the prior art that the performance detection of CSP trough collectors is not comprehensive, resulting in inaccurate performance evaluation and affecting the operating efficiency and reliability of the equipment. The method achieves a comprehensive, efficient and accurate detection of the performance of CSP trough collectors, and improves the technical effect of the efficient operation efficiency and reliability of the equipment.
[0015] Below, the technical solutions in the present invention will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments described herein. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. It should also be noted that, for the convenience of description, only the parts related to the present invention are shown in the accompanying drawings, rather than all of them.
[0016] Embodiment 1, as Figure 1 As shown, the present application provides a performance detection method for a solar thermal power generation trough collector, the method comprising:
[0017] A solar thermal power generation trough collector to be inspected is determined, wherein the solar thermal power generation trough collector includes a plurality of collector assemblies.
[0018] Specifically, first determine the CSP trough collector that needs to be tested. The CSP trough collector is a device that uses a reflector to focus sunlight onto a heat absorbing tube, thereby converting light energy into heat energy. The CSP trough collector includes multiple collector assemblies, which are basic units in the CSP trough collector, including a parabolic reflector, a heat absorbing tube, a concentrator support bracket, and a collector bracket. The object reflector is a mirror structure that reflects sunlight and focuses it onto the heat absorbing tube. The heat absorbing tube is a tubular structure installed at the focus of the parabolic reflector, absorbing the focused sunlight and converting it into heat energy. The concentrator support bracket is used to support the parabolic reflector to ensure its accurate positioning and stable structure. The collector bracket is used to support the entire collector structure, including the reflector and the heat absorbing tube, to ensure that it maintains a stable frame structure under different environmental conditions.
[0019] According to the collector performance detection system, the performance of the plurality of collector components is detected respectively to obtain a plurality of component performance detection data.
[0020] Specifically, the collector performance detection system refers to a system for performing performance detection on the collector assembly, which includes a variety of detection equipment, including a multi-eye visual imaging system, a laser profiler, an infrared temperature sensor, etc. Through these detection equipment, various performance parameters of multiple collector assemblies can be detected and recorded. The multi-eye visual imaging system is used to detect the state of the surface of the collector assembly, identify surface defects, dust, dirt, etc., to ensure the cleanliness and integrity of the reflector and the heat absorption tube. The laser profiler is used to measure the geometric shape and installation accuracy of the collector assembly to ensure that the position and angle of the reflector and the heat absorption tube meet the design requirements. The infrared temperature sensor is used to remotely measure the temperature distribution on the surface of the heat absorption tube to avoid direct contact with the high-temperature surface and obtain accurate temperature data. Based on the collaborative work of these detection equipment in the collector performance detection system, each collector assembly can be fully tested for performance, and detailed performance detection data of each component can be obtained, providing comprehensive and accurate data support for subsequent performance evaluation.
[0021] Furthermore, according to the collector performance detection system, performance detection is performed on the multiple collector components respectively to obtain multiple component performance detection data, including: extracting a first collector component according to the multiple collector components; matching a first component performance detection index set according to the first collector component; based on the first component performance detection index set, performing a performance detection on the first collector component according to the collector performance detection system to obtain first component performance detection data; adding the first component performance detection data to the multiple component performance detection data, and continuing to perform performance detection on the multiple collector components according to the collector performance detection system to obtain the multiple component performance detection data.
[0022] Specifically, from the multiple collector components of the thermal power generation trough collector to be detected, the first collector component is extracted as the current detection object in a certain order, such as numbering order, random, etc. According to the type and specification of the first collector component, the corresponding performance detection index set is automatically matched, and the detection index includes temperature distribution, geometric shape, position and surface state, etc. According to the matching performance detection index, targeted detection of different collector components is ensured, and the accuracy and effectiveness of the detection results are improved. Then, based on the first component performance detection index set, the collector performance detection system is started, and the performance of the first collector component is detected. The surface state of the reflector and the heat absorption tube is checked using a multi-eye visual imaging system to identify any surface defects or dirt that may affect the performance. The geometric shape of the collector is measured using a laser profilometer to ensure the installation accuracy of the component and the focusing effect of the reflector. The temperature distribution on the surface of the heat absorption tube is measured using an infrared temperature sensor to ensure temperature uniformity and effective heat energy transfer. All the detection results of the first component performance detection are recorded to generate the first component performance detection data, which includes temperature distribution, geometric shape measurement results, positioning accuracy and surface state detection results. Finally, the first component performance test data is added to a plurality of component performance test data sets, and the same performance test is continued to be performed on the remaining plurality of collector components according to the collector performance test system.
[0023] According to the above steps, the next collector component is extracted in turn, matched with the corresponding performance test index set, tested and recorded. For example, the second collector component is extracted, the same test process is performed, the performance test data of the second component is obtained, and it is added to multiple component performance test data sets. Through the above steps, a complete data set including the performance test data of all collector components is finally obtained. By obtaining multiple performance test data, a comprehensive and accurate basis is provided for subsequent performance evaluation and optimization.
[0024] Furthermore, based on the first component performance detection index set, the first collector component is subjected to performance detection according to the collector performance detection system to obtain first component performance detection data, including: extracting a first performance detection index according to the first component performance detection index set; based on the collector performance detection system, performing multiple performance detections on the first collector component according to the first performance detection index to obtain a first indicator performance detection data set; performing concentrated value calculation according to the first indicator performance detection data set to generate a first indicator performance detection result; and adding the first indicator performance detection result to the first component performance detection data.
[0025] Specifically, first, the first performance detection index that needs to be detected is identified and extracted from the first component performance detection index set. The first performance detection index may be one of temperature distribution, geometric shape, position and surface state, for example, the geometric shape is used as the first performance detection index. Then, based on the laser profiler in the collector performance detection system, the first collector component is subjected to multiple performance tests according to the first performance detection index. Multiple tests can eliminate the accidental errors that may exist in a single test and improve the reliability of the test results. The number of tests and intervals of multiple tests are determined according to specific indicators and actual conditions. The data obtained from multiple tests are sorted to form a first indicator performance detection data set, which contains all the measurement data about the first performance detection index. According to the measurement data in the data set, the concentration value of the first performance detection index is calculated. The concentration value may be an arithmetic mean, a median, a mode, etc. For example, the arithmetic mean is selected as the concentration value for the average level of the first performance detection index data. Finally, the calculated concentration value is used as the first indicator performance detection result, which represents the performance of the first collector component on the performance detection index, and the first indicator performance detection result is added to the first component performance detection data.
[0026] For other performance indicators in the first component performance test indicator set, repeat the above steps until all performance indicators have been tested. After each performance indicator is tested, the corresponding performance test result is added to the first component performance test data. Through the above steps, the performance test data of the first collector component on various performance indicators can be obtained comprehensively and accurately, providing accurate and comprehensive data support for subsequent data analysis and performance evaluation.
[0027] The performance of the multiple collector components is evaluated respectively according to the multiple component performance test data to obtain multiple component performance test evaluation results.
[0028] Specifically, after detailed performance testing of each component of the solar thermal power generation trough collector, the performance test data of multiple components obtained from the test are compared and analyzed with the preset performance standards or benchmarks, and the compliance and quality of each component on key performance indicators are evaluated, and finally the performance evaluation results of each component are summarized.
[0029] Furthermore, the performance of the multiple collector components is respectively evaluated according to the multiple component performance test data to obtain multiple component performance test evaluation results, including: building multiple collector component performance evaluation models according to the multiple collector components; integrating the multiple collector component performance evaluation models to generate a collector performance evaluation integrated model; based on the multiple component performance test data, according to the collector performance evaluation integrated model, outputting the multiple component performance test evaluation results.
[0030] Specifically, in the process of evaluating the performance of multiple collector components according to the performance test data of multiple components, first, for each collector component, based on its performance test data, a performance evaluation model for each collector component is constructed. After the corresponding performance evaluation models are constructed for multiple collector components, the constructed multiple performance evaluation models are integrated to generate a collector performance evaluation integration model, which can comprehensively analyze the performance data of all collector components and provide a comprehensive performance evaluation framework. Then, the performance test data of all collector components are input into the collector performance evaluation integration model, and the collector performance evaluation model is used to analyze based on the input performance test data, and output the performance test evaluation results of each component. In this way, the performance of all collector components is evaluated separately, and the performance test evaluation results of each component are generated, so as to realize a comprehensive, accurate and efficient performance evaluation of multiple collector components, thereby realizing efficient and accurate detection of the performance of the solar thermal power generation trough collector.
[0031] Furthermore, based on the multiple collector components, multiple collector component performance evaluation models are constructed, including: performing performance evaluation record retrieval based on the multiple collector components to obtain multiple collector component performance evaluation record sets; performing data cleaning based on the multiple collector component performance evaluation record sets to obtain multiple collector component performance evaluation data sets; based on a neural network, performing supervised learning on the multiple collector component performance evaluation data sets respectively to generate the multiple collector component performance evaluation models.
[0032] Specifically, data related to the performance of multiple collector components are retrieved and extracted from the historical performance evaluation records of the collector, and the extracted data are sorted to form multiple collector component performance evaluation record sets, which include various performance indicators of each component, such as temperature distribution, geometry, positioning, surface status and other detailed information.
[0033] After obtaining the original performance evaluation record set, the next step is data cleaning. The purpose of data cleaning is to remove or correct errors, duplications, missing or inconsistencies in the data to ensure the accuracy and completeness of the data. Data cleaning includes deduplication, completion, outlier processing and data standardization. After data cleaning, the performance evaluation data set of multiple collector components is obtained.
[0034] Finally, the performance evaluation data sets of multiple collector components are supervised for learning using a neural network algorithm. Supervised learning is a machine learning method that uses training data with known results to train a model so that the model can predict or classify new, unseen data. During the supervised learning process, the performance evaluation data set of each collector component is used as an independent training set. The neural network model iteratively adjusts its internal parameters, such as weights and biases, to minimize the difference between the predicted results and the actual evaluation results, that is, the loss function. Through supervised training, a performance evaluation model for each collector component is generated separately, and each collector component performance evaluation model can accurately predict and evaluate the performance of the corresponding component. Each evaluation model can quickly and accurately evaluate the performance of the component based on the new performance test data, and output the corresponding evaluation results, thereby realizing efficient and accurate detection and evaluation of the performance of the solar thermal power generation trough collector.
[0035] The plurality of component performance test data and the plurality of component performance test evaluation results are integrated to generate a collector performance test report.
[0036] Specifically, after completing the performance testing and evaluation of multiple collector components, the multiple component performance test data and the multiple component performance test evaluation results of the model data are integrated. When integrating the data and evaluation results, the relevance and consistency of the data must be ensured, and the test data of each component must correspond to the corresponding evaluation results one by one. A collector performance test report is formed based on the integrated data information. The collector performance test report includes detailed performance test data and performance evaluation results of each component of the solar thermal power generation trough collector, which comprehensively presents the overall performance of the collector, provides a detailed data basis for the optimization and maintenance of trough power generation, helps identify the links that need to be improved, and improves the efficient operation efficiency and reliability of the equipment.
[0037] Furthermore, generating a collector performance test report also includes: setting collector performance test constraints based on the solar thermal power generation trough collector; judging whether the collector performance test report satisfies the collector performance test constraints; if the collector performance test report does not satisfy the collector performance test constraints, generating a collector performance test warning signal.
[0038] Specifically, in the process of generating the collector performance test report, in order to ensure the accuracy and reliability of the report, first, according to the characteristics and requirements of the solar thermal power generation trough collector, the collector performance test constraints are set. The collector performance test constraints are formulated based on industry standards, design specifications, safety specifications or performance requirements of specific projects. The collector performance test constraints include key performance indicators of each component of the collector, such as uniformity of temperature distribution, accuracy of geometric shape, accuracy of positioning, and integrity of surface state. After generating the collector performance test report, it is determined whether the performance data and evaluation results of each component in the report meet the preset collector performance test constraints. If certain data or evaluation results in the test report fail to meet the preset performance test constraints, a collector performance test warning signal is generated to prompt the operator of possible performance problems. By setting constraints, existing problems can be discovered in a timely manner, and generating warning signals helps to identify and solve problems in a timely manner to prevent the performance degradation or failure of the collector.
[0039] Furthermore, the multiple component performance test data and the multiple component performance test evaluation results are integrated to generate a collector performance test report, including: performing standardization processing based on the multiple component performance test data and the multiple component performance test evaluation results to generate a collector performance test standard data set; collating the collector performance test standard data set according to a collector performance test report template to obtain the collector performance test report.
[0040] Specifically, after completing the performance testing and evaluation of multiple collector components, the performance test data of the multiple components and the performance test evaluation results of the multiple components are standardized. The standardization process includes unifying the data of different components to the same scale and format to ensure the comparability and consistency of the data. The standard data set for the performance test of the collector is generated through the standardization process. Then, based on the collector performance test report template, the standardized performance test standard data set is sorted. The collector performance test report template includes detailed test data, performance evaluation results and other contents. The collector performance test report is obtained through sorting, which comprehensively displays the performance test results and evaluation of each component to ensure the accuracy and completeness of the data.
[0041] Embodiment 2, based on the same inventive concept as the performance testing method of the solar thermal power generation trough collector in the above embodiment, Figure 2 As shown, the present application provides a performance detection device for a solar thermal power generation trough collector, wherein the device comprises:
[0042] A solar thermal power generation trough collector determination module 11, wherein the solar thermal power generation trough collector determination module 11 is used to determine a solar thermal power generation trough collector to be detected, wherein the solar thermal power generation trough collector includes a plurality of collector assemblies;
[0043] A collector component performance detection module 12, the collector component performance detection module 12 is used to perform performance detection on the multiple collector components respectively according to the collector performance detection system to obtain multiple component performance detection data;
[0044] A heat collector component performance evaluation module 13, the heat collector component performance evaluation module 13 is used to perform performance evaluation on the multiple heat collector components according to the multiple component performance detection data, and obtain multiple component performance detection evaluation results;
[0045] The data integration module 14 is used to integrate the plurality of component performance test data and the plurality of component performance test evaluation results to generate a collector performance test report.
[0046] Furthermore, the collector component performance detection module 12 is used to perform the following steps: extract a first collector component based on the multiple collector components; match a first component performance detection indicator set based on the first collector component; based on the first component performance detection indicator set, perform a performance detection on the first collector component according to the collector performance detection system to obtain first component performance detection data; add the first component performance detection data to the multiple component performance detection data, and continue to perform performance detection on the multiple collector components according to the collector performance detection system to obtain the multiple component performance detection data.
[0047] Furthermore, the collector component performance detection module 12 is also used to perform the following steps: extracting a first performance detection indicator based on the first component performance detection indicator set; based on the collector performance detection system, performing multiple performance tests on the first collector component according to the first performance detection indicator to obtain a first indicator performance detection data set; performing concentrated value calculation based on the first indicator performance detection data set to generate a first indicator performance detection result; and adding the first indicator performance detection result to the first component performance detection data.
[0048] Furthermore, the collector component performance evaluation module 13 is used to perform the following steps: construct multiple collector component performance evaluation models based on the multiple collector components; integrate the multiple collector component performance evaluation models to generate a collector performance evaluation integrated model; based on the multiple component performance test data, output the multiple component performance test evaluation results according to the collector performance evaluation integrated model.
[0049] Furthermore, the collector component performance evaluation module 13 is also used to perform the following steps: perform performance evaluation record retrieval based on the multiple collector components to obtain multiple collector component performance evaluation record sets; perform data cleaning based on the multiple collector component performance evaluation record sets to obtain multiple collector component performance evaluation data sets; based on a neural network, perform supervised learning on the multiple collector component performance evaluation data sets respectively to generate the multiple collector component performance evaluation models.
[0050] Furthermore, the data integration module 14 is used to perform the following steps: according to the solar thermal power generation trough collector, set collector performance detection constraints; determine whether the collector performance detection report meets the collector performance detection constraints; if the collector performance detection report does not meet the collector performance detection constraints, generate a collector performance detection warning signal.
[0051] Furthermore, the data integration module 14 is also used to perform the following steps: performing standardization processing based on the multiple component performance test data and the multiple component performance test evaluation results to generate a collector performance test standard data set; organizing the collector performance test standard data set according to the collector performance test report template to obtain the collector performance test report.
[0052] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
[0053] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.
Claims
1. A method for testing the performance of a solar thermal power generation trough collector, characterized in that: The method comprises: Determining a solar thermal power generation trough collector to be tested, wherein the solar thermal power generation trough collector includes a plurality of collector assemblies; According to the collector performance detection system, the plurality of collector components are respectively subjected to performance detection to obtain a plurality of component performance detection data; According to the plurality of component performance test data, respectively, the plurality of collector components are subjected to performance evaluation to obtain a plurality of component performance test evaluation results; The plurality of component performance test data and the plurality of component performance test evaluation results are integrated to generate a collector performance test report.
2. The method according to claim 1, characterized in that According to the collector performance detection system, the plurality of collector components are respectively subjected to performance detection to obtain a plurality of component performance detection data, including: Extracting a first collector assembly according to the plurality of collector assemblies; According to the first collector component, matching a first component performance detection indicator set; Based on the first component performance detection indicator set, the first collector component is subjected to performance detection according to the collector performance detection system to obtain first component performance detection data; The first component performance test data is added to the plurality of component performance test data, and the plurality of collector components are continuously subjected to performance test according to the collector performance test system to obtain the plurality of component performance test data.
3. The method according to claim 2, characterized in that Based on the first component performance detection indicator set, the first collector component is subjected to performance detection according to the collector performance detection system to obtain first component performance detection data, including: Extracting a first performance detection indicator according to the first component performance detection indicator set; Based on the collector performance detection system, the first collector assembly is subjected to multiple performance detections according to the first performance detection index to obtain a first index performance detection data set; Performing concentrated value calculation based on the first indicator performance detection data set to generate a first indicator performance detection result; The first indicator performance test result is added to the first component performance test data.
4. The method according to claim 1, characterized in that The plurality of collector components are respectively subjected to performance evaluation according to the plurality of component performance test data to obtain a plurality of component performance test evaluation results, including: Building multiple collector assembly performance evaluation models based on the multiple collector assemblies; Integrating the plurality of collector component performance evaluation models to generate a collector performance evaluation integrated model; Based on the plurality of component performance detection data and in accordance with the collector performance evaluation integrated model, the plurality of component performance detection evaluation results are output.
5. The method according to claim 4, characterized in that According to the plurality of collector assemblies, a plurality of collector assembly performance evaluation models are constructed, including: Retrieving performance evaluation records based on the multiple collector assemblies to obtain multiple collector assembly performance evaluation record sets; Performing data cleaning according to the plurality of collector component performance evaluation record sets to obtain a plurality of collector component performance evaluation data sets; Based on a neural network, supervised learning is performed on the multiple collector component performance evaluation data sets to generate the multiple collector component performance evaluation models.
6. The method according to claim 1, characterized in that Generate collector performance test report, including: According to the solar thermal power generation trough collector, setting collector performance detection constraints; Determining whether the collector performance test report satisfies the collector performance test constraint; If the collector performance detection report does not satisfy the collector performance detection constraint, a collector performance detection warning signal is generated.
7. The method according to claim 1, characterized in that Integrate the plurality of component performance test data and the plurality of component performance test evaluation results to generate a collector performance test report, including: Performing standardization processing on the plurality of component performance test data and the plurality of component performance test evaluation results to generate a collector performance test standard data set; According to the collector performance test report template, the collector performance test standard data set is sorted to obtain the collector performance test report.
8. A performance detection device for a solar thermal power generation trough collector, characterized in that: The steps for implementing the method according to any one of claims 1 to 7 include: A photovoltaic trough collector determination module, the photovoltaic trough collector determination module is used to determine a photovoltaic trough collector to be detected, wherein the photovoltaic trough collector includes a plurality of collector assemblies; A heat collector component performance detection module, the heat collector component performance detection module is used to perform performance detection on the multiple heat collector components respectively according to the heat collector performance detection system to obtain multiple component performance detection data; A heat collector component performance evaluation module, the heat collector component performance evaluation module is used to perform performance evaluation on the multiple heat collector components respectively according to the multiple component performance detection data, and obtain multiple component performance detection evaluation results; A data integration module is used to integrate the plurality of component performance test data and the plurality of component performance test evaluation results to generate a collector performance test report.