A tracking detection method and system for trough generators

Abstract

The present invention discloses a tracking detection method and system for trough generators, belonging to the field of solar thermal power generation technology, wherein the method includes: obtaining the current heat collection positioning information and the current heat collection angle information of the trough generator; obtaining the current sunshine angle characteristic information; performing heat collection control node feature analysis for a predetermined future time domain to generate a heat collection control characteristic node chain; performing heat collection angle prediction and registration for the trough generator to establish a heat collection angle registration space; performing sunshine capture optimization adjustment to generate a heat collection angle control scheme chain; and performing tracking, detection and regulation on the trough generator. The present application solves the technical problem in the prior art that the heat collection angle regulation is inaccurate and inefficient, resulting in low power generation efficiency and poor system stability of the trough generator.

Description

Technical Field

[0001] The present invention relates to the technical field of solar thermal power generation, and in particular to a tracking detection method and system for trough type power generators. Background Art

[0002] With the continuous growth of global energy demand and the enhancement of environmental protection awareness, the development and utilization of clean energy has become increasingly important. As a clean and renewable energy source, solar energy has received extensive attention and application. Parabolic Trough Solar Power is an important form of solar thermal utilization technology. This technology uses trough parabolic reflectors to concentrate sunlight onto the receiving tube, heating the working fluid in the tube, thereby realizing energy conversion and utilization.

[0003] Traditional trough solar thermal power generation systems usually rely on simple tracking control systems, which are controlled based on the calculation of the sun's position and a preset trajectory. However, due to factors such as complex terrain, weather changes, and system hardware accuracy, traditional methods have limitations in terms of heat collection angle control and tracking detection, resulting in low system efficiency.

[0004] In summary, the present application aims to improve the heat collection efficiency of trough generators and enhance the overall performance of solar thermal power generation systems through precise angle prediction and regulation. Summary of the invention

[0005] The present application provides a tracking detection method and system for trough power generators, aiming to solve the technical problems in the prior art of inaccurate and inefficient control of the collector angle, which leads to low power generation efficiency and poor system stability of the trough power generator.

[0006] In view of the above problems, the present application provides a tracking detection method and system for trough generators.

[0007] The first aspect disclosed in the present application provides a tracking and detection method for trough power generators, the method comprising: obtaining current heat collection positioning information and current heat collection angle information of the trough power generator according to a trough power generator tracking and detection platform; obtaining current sunshine angle characteristic information according to a sunshine detection platform based on the current heat collection positioning information; performing heat collection control node feature analysis for a predetermined future time domain according to the current sunshine angle characteristic information and the current heat collection positioning information, and generating a heat collection control characteristic node chain; performing heat collection angle prediction and registration on the trough power generator according to the heat collection control characteristic node chain, and establishing a heat collection angle registration space; performing sunshine capture optimization adjustment based on the current heat collection angle information and the heat collection angle registration space, and generating a heat collection angle control scheme chain; and tracking, detecting and regulating the trough power generator according to the heat collection angle control scheme chain based on the trough power generator tracking and detection platform.

[0008] Another aspect disclosed in the present application provides a tracking and detection system for trough generators, the system comprising: a generator information acquisition module: used to obtain current heat collection positioning information and current heat collection angle information of the trough generator according to the trough generator tracking and detection platform; a sunshine angle feature acquisition module: used to obtain current sunshine angle feature information according to the sunshine detection platform based on the current heat collection positioning information; a heat collection regulation feature node chain generation module: used to perform heat collection regulation node feature analysis for a predetermined future time domain according to the current sunshine angle feature information and the current heat collection positioning information, and generate a heat collection regulation feature node chain; a heat collection angle registration space establishment module: used to perform heat collection angle prediction and registration for the trough generator according to the heat collection regulation feature node chain, and establish a heat collection angle registration space; a heat collection angle control scheme chain generation module: used to perform sunshine capture optimization adjustment based on the current heat collection angle information and the heat collection angle registration space, and generate a heat collection angle control scheme chain; a tracking, detection and control module: used to track, detect and control the trough generator according to the heat collection angle control scheme chain based on the trough generator tracking and detection platform.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] By adopting a trough generator tracking and detection platform, the current heat collection positioning information and the current heat collection angle information of the trough generator are obtained; based on the current heat collection positioning information, the current sunshine angle characteristic information is obtained according to the sunshine detection platform; according to the current sunshine angle characteristic information and the current heat collection positioning information, the heat collection control node characteristics are analyzed for the predetermined future time domain to generate a heat collection control characteristic node chain; according to the heat collection control characteristic node chain, the heat collection angle of the trough generator is predicted and aligned to establish a heat collection angle alignment space; based on the current heat collection angle information and the heat collection angle alignment space, sunshine capture optimization adjustment is performed to generate a heat collection angle control scheme chain; based on the trough generator tracking and detection platform, the technical solution of tracking, detecting and regulating the trough generator according to the heat collection angle control scheme chain solves the technical problems in the prior art of inaccurate and inefficient heat collection angle control, which leads to low power generation efficiency of the trough generator and poor system stability, and achieves the technical effect of improving heat collection efficiency and system stability.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic flow chart of a tracking and detection method for a trough generator is provided for an embodiment of the present application.

[0013] Figure 2 A structural schematic diagram of a tracking and detection system for a trough generator is provided for an embodiment of the present application.

[0014] Explanation of the reference numerals: generator information acquisition module 11, sunshine angle feature acquisition module 12, heat collection control feature node chain generation module 13, heat collection angle alignment space establishment module 14, heat collection angle control scheme chain generation module 15, tracking detection control module 16. DETAILED DESCRIPTION

[0015] The overall idea of ​​the technical solution provided by this application is as follows:

[0016] The embodiment of the present application provides a tracking and detection method and system for trough power generators. The current heat collection position and angle information is obtained through the tracking and detection platform. Based on this information, the current sunshine angle characteristics are obtained from the sunshine detection platform. In combination with the current sunshine angle and heat collection position information, the heat collection control node characteristics are analyzed in the future time domain to generate a heat collection control feature node chain. These node chains are used to predict and align the heat collection angle of the trough power generator, and a heat collection angle alignment space is established. Through sunshine capture and optimal adjustment, a heat collection angle control scheme chain is generated, and the trough power generator is tracked, detected and regulated based on this scheme chain.

[0017] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification.

[0018] Embodiment 1

[0019] like Figure 1 As shown, an embodiment of the present application provides a tracking detection method for a trough generator, the method comprising:

[0020] Step S100: obtaining the current heat collection positioning information and the current heat collection angle information of the trough generator according to the trough generator tracking and detection platform.

[0021] Specifically, the trough generator tracking and detection platform is a technical platform dedicated to real-time monitoring and control of trough solar power generation systems. It can obtain and process various real-time data of the power generation system, including heat collection positioning information and heat collection angle information, and use these data to optimize the working status of the collector.

[0022] The collector positioning information refers to the specific position of the trough generator in space. This information includes the position, angle and orientation of the generator relative to the sun, which is usually obtained through high-precision positioning equipment or sensors. Specifically, using 3D laser profilers or multi-eye visual imaging technology, the positioning sensor of the trough generator is used to collect data to obtain the current precise position of the collector in space. The positioning data is transmitted to the computer system of the detection platform for analysis and processing to determine the specific position and posture of the trough generator.

[0023] The heat collection angle information refers to the tilt angle of the reflector surface of the trough power generator relative to the sunlight. This angle determines the incident direction of sunlight and the heat collection efficiency. Specifically, the tilt angle of the reflector is monitored in real time using an angle sensor installed on the trough power generator, such as an inclinometer or a gyroscope. The data from the angle sensor is transmitted to the computer system of the detection platform, and the data is analyzed by software to determine the current heat collection angle.

[0024] This step obtains the current heat collection positioning information and heat collection angle information on the trough generator tracking and detection platform. These real-time data provide a basis for supporting further advanced functions such as sunshine angle feature acquisition, heat collection angle prediction and registration, and sunshine capture optimization and adjustment, thereby improving the overall heat collection efficiency and power generation capacity of the trough generator.

[0025] Step S200: Based on the current heat collection positioning information and according to the sunshine detection platform, current sunshine angle characteristic information is obtained.

[0026] Specifically, the trough generator tracking and detection platform is used to obtain the current heat collection positioning information of the trough generator in real time. Based on the current heat collection positioning information obtained, the sunshine detection platform is used to analyze the current sunshine environment. The sunshine detection platform usually includes high-precision sunshine sensors, meteorological stations and other equipment, which can monitor and record key parameters such as the sun's altitude angle and azimuth in real time. These parameters directly reflect the angle characteristics of the current sunshine.

[0027] After obtaining the real-time data provided by the sunshine detection platform, the detailed angle characteristic information of the current sunshine can be obtained through calculation and analysis, including the solar altitude angle (i.e. the angle between the sun's rays and the horizontal plane) and the azimuth angle (i.e. the angle between the sun's rays projected on the ground plane and the south direction). This information is used to determine the adjustment of the solar collector angle of the trough generator.

[0028] The sunlight angle characteristic information provides important parameters for subsequent heat collection regulation, ensuring that the trough power generation system can adjust its reflector angle in real time to maximize the capture and utilization of solar energy and improve power generation efficiency. By real-time monitoring and analysis of the incident angle of sunlight, the trough power generation system can adjust and optimize the angle more accurately to ensure that the system is always in the best heat collection state.

[0029] Step S300: According to the current sunshine angle characteristic information and the current heat collection positioning information, heat collection control node characteristic analysis is performed on a predetermined future time domain to generate a heat collection control characteristic node chain.

[0030] Specifically, the heat collection control feature node chain is a series of time nodes, each of which contains the predicted heat collection angle and the corresponding control parameters. This feature chain is used to guide the adjustment and optimization of the heat collection angle of the trough generator in the future time domain.

[0031] First, the sunshine detection platform is used to obtain data in real time, including the solar altitude angle and solar azimuth angle. The positioning sensor of the trough generator is used to obtain data, including the geographical location and tilt angle of the generator. Then, the sunshine angle characteristics of the future time domain are predicted, the sunshine angle mutation time node is determined, and the future time domain is divided. Finally, the heat collection control nodes in each time domain partition are integrated in chronological order to form a continuous feature node chain. The final generated feature node chain contains the time, sunshine angle, heat collection angle and control parameters of each node, which serves as the basis for the control of the trough generator in the future time domain.

[0032] Based on this step, the solar collector performance in the future time domain can be predicted based on the current sunshine angle characteristic information and solar collector positioning information, and a characteristic node chain for regulation can be generated to guide the optimized operation of the trough generator.

[0033] Step S400: performing heat collection angle prediction and registration for the trough generator according to the heat collection regulation feature node chain, and establishing a heat collection angle registration space.

[0034] Specifically, the heat collection angle prediction and registration refers to predicting the optimal heat collection angle of the trough generator at each moment in the future based on the heat collection control feature node chain, and performing corresponding registration to ensure that the generator can accurately adjust its heat collection angle. The heat collection angle registration space is a multi-dimensional data space that contains the optimal heat collection angle and related control parameters at each moment in the future. This space is used to guide the angle adjustment of the trough generator at different time points to achieve the optimal heat collection effect.

[0035] According to the characteristic node chain of heat collection regulation, the sunshine angle characteristic information of each node is collected. These sunshine angle characteristic information are analyzed to form a database containing the sunshine angle characteristics of each time node. According to the sunshine angle characteristic database, the sunshine intensity of each time node in the future is predicted. The predicted sunshine intensity information is associated and fused with the sunshine angle characteristic information to generate the comprehensive sunshine characteristic information of each node. According to the current heat collection positioning information, the comprehensive sunshine characteristic information of each node is retrieved to obtain the corresponding heat collection angle information. The retrieved heat collection angle information is cleaned to remove discrete points and outliers to ensure the accuracy and reliability of the data. According to the cleaned heat collection angle information, the heat collection angle registration domain of each node is generated. The heat collection angle registration domains of all nodes are integrated to form an overall heat collection angle registration space. The integrated heat collection angle registration domain is constructed into a multidimensional data space, and each dimension corresponds to the best heat collection angle of a time node. The finally formed heat collection angle registration space contains the best heat collection angle at each moment in the future period of time, providing a basis for the angle adjustment of the trough generator.

[0036] Based on this step, the trough generator can be predicted and aligned according to the characteristic node chain of heat collection regulation, and a registration space containing the optimal heat collection angle in the future time domain can be established. This space provides a scientific basis for adjusting the angle of the trough generator at different time points in the future, ensuring that the system is always in the best heat collection state.

[0037] Step S500: performing optimal adjustment of sunlight capture based on the current heat collection angle information and the heat collection angle registration space to generate a heat collection angle control solution chain.

[0038] Specifically, sunshine capture optimization regulation refers to determining the best collection angle to maximize the solar energy capture efficiency by analyzing the current collection angle information and the collection angle registration space. The process includes optimizing and adjusting the angle of the trough generator to ensure that it can achieve the best collection effect in different time periods. The collection angle control scheme chain is an optimization control scheme for the collection angle at a series of time nodes, which is used to guide the angle adjustment of the trough generator in the future time domain. These scheme chains are generated through sunshine capture optimization regulation to ensure that the power generation system is always in the best collection state.

[0039] The current heat collection angle data is obtained through the angle sensor installed on the trough generator. In the heat collection angle registration space, the registration domain information of each time node is extracted, that is, the optimal heat collection angle range at each time point. Then, the heat collection angle registration domain information of the node is extracted. According to the current heat collection angle information and the registration domain information, an optimization algorithm (such as genetic algorithm, simulated annealing algorithm, etc.) is used to perform sunshine capture optimization analysis to find the optimal heat collection angle. Generate a heat collection angle control plan. Finally, the heat collection angle control plan for each time node is integrated in chronological order to form a continuous heat collection angle control plan chain. The final control plan chain includes the optimized heat collection angle and the corresponding control parameters of each time node to guide the angle adjustment of the trough generator in the future period.

[0040] In this step, based on the current collection angle information and the collection angle registration space, the optimal adjustment of sunlight capture is performed to generate a collection angle control scheme chain. This scheme chain provides scientific guidance for the angle adjustment of the trough generator in the future period, ensuring that the system is always in the best collection state and improving the utilization efficiency of solar energy.

[0041] Step S600: Based on the trough power plant tracking and detection platform, the trough power plant is tracked, detected and regulated according to the heat collection angle control scheme chain.

[0042] Specifically, according to the guidance of the heat collection angle control scheme chain, specific control instructions are generated to control the angle adjustment of the trough generator. According to the current heat collection angle information and control instructions, the heat collection angle of the trough generator is adjusted in real time to ensure that it is always at the optimal angle. At each time point, the actual heat collection angle of the trough generator is detected and compared with the expected angle to generate feedback data.

[0043] Specifically, the real-time detected heat collection angle information is compared with the expected angle in the heat collection angle control scheme chain to analyze the deviation and adjustment effect. Based on the comparison results, a tracking detection report is generated to record the heat collection angle, deviation and control effect at each time node, providing a reference for subsequent control and optimization.

[0044] In this step, based on the trough generator tracking detection platform and the heat collection angle control solution chain, the trough generator is tracked, detected and controlled in real time. Through this process, it is ensured that the generator always maintains the best heat collection angle in different time periods, improving the solar energy utilization efficiency and power generation efficiency.

[0045] Furthermore, according to the current sunshine angle characteristic information and the current solar collector positioning information, the solar collector control node characteristics are analyzed for the predetermined future time domain to generate a solar collector control characteristic node chain, which also includes: based on the current solar collector positioning information and the predetermined future time domain, the sunshine angle characteristics are predicted according to the current sunshine angle characteristic information, and a predicted time domain sunshine angle characteristic diagram is established; according to the predicted time domain sunshine angle characteristic diagram, the sunshine angle mutation time is correlated to obtain a plurality of sunshine angle mutation time nodes; according to the plurality of sunshine angle mutation time nodes, the predetermined future time domain is divided to obtain a plurality of future time domain partitions; according to the predicted time domain sunshine angle characteristic diagram, the sunshine angles of the plurality of future time domain partitions are respectively fused to generate a plurality of solar collector control characteristic nodes; according to the plurality of solar collector control characteristic nodes, time series correlation and integration are performed to obtain the solar collector control characteristic node chain.

[0046] Specifically, first, based on the current heat collection positioning information and the predetermined future time domain, the current heat collection positioning information refers to the current position and posture of the trough generator in the geographic space. The predetermined future time domain refers to a period of time in the future, such as the next 8 hours or the next 24 hours. Using the current sunshine angle feature information, the solar altitude angle and azimuth angle at each time point in the predetermined future time domain are predicted through the solar position algorithm or astronomical calculation formula. A feature map containing the change of sunshine angle in the future time domain is generated for subsequent analysis.

[0047] Set a detection window, such as every hour or every minute, to analyze the change in sunlight angle. In each detection window, analyze the changes in the solar altitude angle and azimuth angle, and identify the significant angle change points. The identified angle change points are used as mutation time nodes, and the time and angle characteristics of these nodes are recorded.

[0048] According to the mutation time node, the scheduled future time domain is divided into several time periods. The sunshine angle changes less in each time period, which is convenient for precise control. In each time domain partition, the sunshine angle characteristics are fused to generate the heat collection control node in the partition.

[0049] The heat collection control nodes in each time domain partition are integrated in chronological order to form a continuous feature node chain. The final generated feature node chain in chronological order contains the time, sunshine angle, heat collection angle and control parameters of each node, which serves as the basis for the future control of the trough generator in the time domain.

[0050] Based on this step, the heat collection performance in the predetermined future time domain can be predicted based on the current sunshine angle characteristic information and heat collection positioning information, and a heat collection control characteristic node chain for control can be generated. This characteristic node chain provides scientific guidance for the angle adjustment of the trough generator in the future time domain, ensuring that the system is always in the best heat collection state.

[0051] Furthermore, according to the predicted time-domain sunlight angle characteristic diagram, sunlight angle mutation time association is performed to obtain multiple sunlight angle mutation time nodes, and it also includes: according to the predetermined future time domain, setting a mutation detection unit time domain window; performing sunlight angle mutation depth detection on the predicted time-domain sunlight angle characteristic diagram according to the mutation detection unit time domain window to obtain multiple sunlight angle mutation depth coefficients; judging whether the multiple sunlight angle mutation depth coefficients are greater than / equal to a sunlight angle mutation depth threshold, and obtaining a set of identified sunlight angle mutation depth coefficients greater than / equal to the sunlight angle mutation depth threshold; performing time feature association on the predicted time-domain sunlight angle characteristic diagram based on the identified sunlight angle mutation depth coefficient set to generate the multiple sunlight angle mutation time nodes.

[0052] Specifically, according to the predetermined future time domain, a mutation detection unit time domain window is set, for example, every 30 minutes or every hour is a detection unit time domain window. That is, the predetermined future time domain is divided into several detection unit time domain windows, and independent analysis is performed in each window. By dividing the future time domain into multiple small time periods, the change of sunlight angle can be detected more finely and significant mutation points can be identified.

[0053] The sunshine angle mutation depth detection refers to analyzing the change amplitude of the solar altitude angle and azimuth angle in each mutation detection unit time domain window, and calculating the mutation depth coefficient. Specifically, in each detection window, the change amount of the solar altitude angle and azimuth angle is calculated. According to the change amount, the mutation depth coefficient is calculated to reflect the amplitude and significance of the angle change. Furthermore, a preset critical value, namely the sunshine angle mutation depth threshold, is used to determine whether the sunshine angle changes significantly. Those windows whose mutation depth coefficients are greater than or equal to the threshold are screened out, and the coefficients in these windows are identified. The identified mutation depth coefficient is associated with the time axis to determine the specific time when the mutation occurs. Finally, multiple time nodes are obtained, which represent the moments when the sunshine angle changes significantly.

[0054] This step accurately detects and identifies the moment when the sunshine angle changes suddenly by subdividing the time window, and generates the sudden change time node. These nodes play an important reference role in the subsequent heat collection regulation, ensuring that the trough generator can adjust the heat collection angle in time and improve the heat collection efficiency.

[0055] Furthermore, the trough power generator is predicted and aligned with the collection angle according to the collection control feature node chain to establish a collection angle alignment space, which also includes: extracting multiple node sunshine angle features according to the collection control feature node chain; performing sunshine intensity prediction association fusion according to the multiple node sunshine angle features to generate multiple node sunshine feature information; based on the current collection positioning information, performing collection angle association retrieval according to the multiple node sunshine feature information to obtain multiple node collection angle association sets; performing discrete point cleaning on the multiple node collection angle association sets to generate multiple node collection angle association concentration domains; based on the collection angle control constraint information of the trough power generator, performing intersection of the multiple node collection angle association concentration domains to generate multiple node collection angle alignment domains; and adding the multiple node collection angle alignment domains to the collection angle alignment space.

[0056] Specifically, the sunshine angle features of multiple nodes are extracted according to the characteristic node chain of heat collection regulation, and the sunshine angle feature information is extracted at each node. By analyzing and predicting the sunshine angle in the future period, the sunshine angle features of each node are extracted. Specifically, the sunshine data in the past period is collected, including sunshine intensity, sunshine angle, etc. The data can come from meteorological stations, satellite observations, sunshine sensors, etc. Then the data is preprocessed, including cleaning data, data normalization, etc. Select a suitable time series prediction model according to the needs, such as ARIMA, LSTM, random forest, etc. Use historical sunshine data to train the prediction model and adjust the model parameters to improve the prediction accuracy. The current heat collection positioning information and the current sunshine angle feature information are input into the prediction model. The model outputs the sunshine angle prediction value of the future period and generates a predicted time domain sunshine angle feature map. The predetermined future time domain is divided into multiple nodes, such as one node per hour. The sunshine angle feature information is extracted at each node, including: average sunshine angle: the average sunshine angle in the time period. Maximum / minimum sunshine angle: the maximum and minimum sunshine angle in the time period. Sunlight angle change rate: the rate at which the sunlight angle changes over time.

[0057] Combine the sunshine angle characteristics of each node to predict the future sunshine intensity. Combine the sunshine angle characteristics with the predicted sunshine intensity information to generate the sunshine characteristic information of each node. For example, if the sunshine angle of a node is 30 degrees and the predicted sunshine intensity is 800W / m², the sunshine characteristic information of the node is generated.

[0058] Based on the current positioning information and the sunshine characteristic information of each node, the relevant heat collection angles are retrieved. The sunshine characteristic information of each node will correspond to a certain heat collection angle. The node heat collection angle association set refers to the set of heat collection angles corresponding to each node. For example, the heat collection angle corresponding to the sunshine characteristic information of a certain node is 35 degrees. Clear the discrete data points in the retrieval results to obtain more concentrated and reliable heat collection angle data. The node heat collection angle association concentration domain is the cleaned heat collection angle data set. For example, after cleaning, the heat collection angle data of a certain node is concentrated between 33 degrees and 37 degrees.

[0059] The heat collection angle control constraint information refers to the angle control restriction conditions of the trough power generator in actual operation. In the heat collection angle concentration domain of each node, the intersection that satisfies the control constraint is obtained. For example, if the angle control constraint of the trough power generator is 30 degrees to 40 degrees, then in the heat collection angle concentration domain of each node, find the angle range that satisfies this constraint. The node heat collection angle registration domain refers to the heat collection angle range that meets the control constraint. For example, the heat collection angle registration domain of a certain node is 34 degrees to 36 degrees.

[0060] Finally, multiple node heat collection angle registration domains are added to the heat collection angle registration space. The heat collection angle registration space refers to the heat collection angle registration domains containing all nodes, forming a comprehensive angle control space. It is used to guide the heat collection angle adjustment of the trough generator in different time periods in the future.

[0061] Through this series of steps, the collection angle of the trough power station can be accurately predicted and adjusted at different time points, ensuring the best collection effect under various sunshine conditions, thereby improving power generation efficiency and system stability.

[0062] Furthermore, based on the current collector angle information and the collector angle alignment space, sunlight capture optimization adjustment is performed to generate a collector angle control scheme chain, which also includes: extracting the first node collector angle alignment domain according to the collector angle alignment space; performing sunlight capture optimization analysis according to the first node collector angle alignment domain to generate the first node optimal collector angle; generating a first node collector angle control scheme according to the current collector angle information and the first node optimal collector angle; extracting the second node collector angle alignment domain according to the collector angle alignment space; performing sunlight capture optimization analysis according to the second node collector angle alignment domain to generate the second node optimal collector angle; generating a second node collector angle control scheme according to the first node optimal collector angle and the second node optimal collector angle; adding the first node optimal collector angle and the second node collector angle control scheme to the collector angle control scheme chain, and continuing to perform sunlight capture optimization analysis based on the collector angle alignment space to construct the collector angle control scheme chain.

[0063] Specifically, the collector angle registration range of the first time node is extracted from the collector angle registration space. The collector angle registration domain of the first node is analyzed to find the best collector angle to maximize the solar capture efficiency. Based on the analysis results, the best collector angle of the first node is determined. Based on the current collector angle and the optimal collector angle of the first node, a control plan is formulated to adjust the collector to the optimal angle.

[0064] The solar collector angle registration range of the second time node is extracted from the solar collector angle registration space. A sunshine capture optimization analysis is performed based on the solar collector angle registration domain of the second node to generate the optimal solar collector angle for the second node. The optimal solar collector angle is found by analyzing the solar collector angle registration domain of the second node. A solar collector angle control scheme for the second node is generated based on the optimal solar collector angle of the first node and the optimal solar collector angle of the second node. A control scheme for the second node is formulated by combining the optimal solar collector angles of the first node and the second node. Finally, based on the solar collector angle registration space, the sunshine capture optimization analysis is continued for subsequent nodes to generate the optimal solar collector angles and control schemes for more nodes, and a complete solar collector angle control scheme chain is gradually constructed.

[0065] This step generates a complete collection angle control solution chain to ensure that the trough power generator can adjust to the optimal collection angle at every time period of the day to improve power generation efficiency.

[0066] Furthermore, performing a sunshine capture optimization analysis according to the first node solar collection angle registration domain to generate a first node optimal solar collection angle also includes: retrieving the first node sunshine characteristic information corresponding to the first node solar collection angle registration domain; obtaining a first solar collection angle according to the first node solar collection angle registration domain; inputting the first node sunshine characteristic information and the first solar collection angle into a pre-constructed sunshine capture fitness evaluation model to generate a first sunshine capture fitness; obtaining a second solar collection angle according to the first node solar collection angle registration domain, and obtaining a second sunshine capture fitness in combination with the first node sunshine characteristic information and the solar capture fitness evaluation model; comparing the first solar capture fitness and the second solar capture fitness to determine the current optimal solar capture fitness, and matching the current optimal solar collection angle in combination with the first solar collection angle and the second solar collection angle; based on the current optimal solar capture fitness, iteratively optimizing the current optimal solar collection angle according to the first node solar collection angle registration domain and the solar capture fitness evaluation model to generate the first node optimal solar collection angle that meets the number of iterative optimization times.

[0067] Specifically, the solar collection angle range of the first time node is extracted from the solar collection angle registration space. The first node sunshine characteristic information refers to characteristic information such as sunshine angle and sunshine intensity within the time node.

[0068] According to the first node heat collection angle registration domain, a first heat collection angle is obtained. A heat collection angle selected within the first node heat collection angle registration domain. The first node sunlight characteristic information and the first heat collection angle are input into a pre-built sunlight capture fitness evaluation model to generate a first sunlight capture fitness. The sunlight capture fitness evaluation model is a model for evaluating the matching degree between the heat collection angle and the sunlight characteristic information. The sunlight capture fitness of the first heat collection angle calculated according to the model.

[0069] According to the first node heat collection angle registration domain, a second heat collection angle is obtained, and the second heat collection fitness is obtained by combining the first node sunshine characteristic information and the sunshine capture fitness evaluation model. The second heat collection angle is another heat collection angle selected within the first node heat collection angle registration domain. The sunshine capture fitness of the second heat collection angle calculated according to the model.

[0070] The first sunlight capture fitness and the second sunlight capture fitness are compared to determine the current optimal sunlight capture fitness, and the first solar collection angle and the second solar collection angle are combined to match the current optimal solar collection angle. The first and second solar capture fitness are compared to determine which one is better.

[0071] Based on the current optimal sunlight capture fitness, the current optimal solar collection angle is iteratively optimized according to the first node solar collection angle alignment domain and the sunlight capture fitness evaluation model to generate the first node optimal solar collection angle that meets the number of iterative optimizations. Perform multiple iterations within the solar collection angle alignment domain, adjust the solar collection angle each time and calculate the fitness. The number of iterations reaches the preset standard to ensure that the optimal solar collection angle is found. The optimal solar collection angle is obtained after iterative optimization.

[0072] Based on this step, the optimal solar collection angle is finally determined within the first node time period. This angle can maximize the sunlight capture efficiency and provide a reference for the regulation of subsequent time nodes.

[0073] Furthermore, based on the trough power generator tracking and detection platform, tracking, detecting and regulating the trough power generator according to the heat collection angle control scheme chain also includes: controlling the trough power generator based on the heat collection angle control scheme chain, and obtaining tracking and detecting heat collection angle information of the trough power generator according to the trough power generator tracking and detection platform; determining expected heat collection angle information corresponding to the tracking and detecting heat collection angle information according to the heat collection angle control scheme chain; comparing the tracking and detecting heat collection angle information with the expected heat collection angle information to generate a heat collection angle control deviation; and feedback regulating the trough power generator according to the heat collection angle control deviation.

[0074] Specifically, based on the generated solar collector angle control schemes for different time nodes, the solar collector angle of the trough generator is adjusted according to the instructions of the control scheme chain to achieve the optimal angle at each time node.

[0075] The current collection angle is obtained in real time through the tracking and detection platform. According to the optimal collection angle at each time node in the control scheme chain, the expected collection angle at the current time node is determined. Then, the actual detected collection angle is compared with the expected collection angle. The difference between the actual collection angle and the expected collection angle, i.e., the deviation, is calculated. According to the calculated deviation, the collection angle of the trough generator is adjusted to reduce the deviation and make it close to the expected value.

[0076] For example, according to the instructions of the control scheme chain, the collection angle of the trough generator is adjusted to 35 degrees at 8 o'clock in the morning. Use the tracking detection platform to monitor the collection angle of the trough generator in real time. Assume that the current angle detected is 33 degrees. According to the control scheme chain, the expected collection angle is 35 degrees. Comparing the detected angle of 33 degrees with the expected angle of 35 degrees, the control deviation is calculated to be 2 degrees. According to the control deviation of 2 degrees, adjust the angle of the trough generator from 33 degrees to 35 degrees, reduce the deviation, and improve the collection efficiency.

[0077] Based on this step, it is ensured that the trough power generator can be adjusted to the optimal collection angle at different time nodes, thereby maximizing the sunlight capture efficiency and improving the power generation effect.

[0078] In summary, the tracking and detection method for trough generators provided in the embodiments of the present application has the following technical effects:

[0079] 1. By obtaining the current collector positioning and angle information based on the tracking and detection platform, and combining the current sunshine angle characteristic information of the sunshine detection platform, the characteristics of the collector control nodes in the future time domain are analyzed, and a characteristic node chain is generated and a collector angle registration space is established. Then, the collector angle control scheme chain is generated through sunshine capture and optimization, and the trough generator is accurately tracked, detected and controlled, which maximizes the collector efficiency and significantly improves the power generation efficiency and system stability.

[0080] 2. By combining the current collector positioning information and sunshine angle characteristic information, a detailed prediction and analysis of the future time domain is performed to generate a collector control characteristic node chain. By predicting the sunshine angle characteristics, identifying the mutation time nodes, dividing the future time domain, and performing time series correlation integration, a reliable collector control characteristic node chain is generated to ensure that the collector angle can be accurately controlled in different time periods in the future, thereby improving the system response speed and control accuracy.

[0081] 3. By extracting the sunshine angle features of multiple nodes, the sunshine intensity prediction correlation fusion is performed to generate the sunshine characteristic information of the node, and the collection angle correlation retrieval and discrete point cleaning are performed to generate multiple node collection angle correlation concentration domains. Finally, multiple node collection angle registration domains are generated by intersection calculation to establish a comprehensive collection angle registration space. This method improves the accuracy and precision of the collection angle prediction and enhances the stability and collection efficiency of the system.

[0082] 4. By extracting the node heat collection angle registration domain from the heat collection angle registration space, the sunshine capture optimization analysis is performed to generate the node optimal heat collection angle, and the heat collection angle control scheme is generated based on the current heat collection angle information. Through iterative optimization analysis, a complete heat collection angle control scheme chain is constructed, which realizes the dynamic optimization and control of the heat collection angle and improves the overall heat collection efficiency and power generation capacity of the system.

[0083] Embodiment 2

[0084] Based on the same inventive concept as the tracking detection method for trough generators in the aforementioned embodiment, Figure 2 As shown, an embodiment of the present application provides a tracking and detection system for a trough generator, the system comprising:

[0085] The generator information acquisition module 11 is used to obtain the current heat collection positioning information and the current heat collection angle information of the trough generator according to the trough generator tracking and detection platform;

[0086] A sunshine angle feature acquisition module 12 is used to obtain current sunshine angle feature information based on the current heat collection location information and the sunshine detection platform;

[0087] Heat collection regulation feature node chain generation module 13: used to perform heat collection regulation node feature analysis on a predetermined future time domain according to the current sunshine angle feature information and the current heat collection positioning information, and generate a heat collection regulation feature node chain;

[0088] A heat collection angle registration space establishment module 14 is used to perform heat collection angle prediction and registration on the trough generator according to the heat collection regulation feature node chain, and establish a heat collection angle registration space;

[0089] A heat collection angle control scheme chain generation module 15 is used to perform optimal adjustment of sunlight capture based on the current heat collection angle information and the heat collection angle registration space, and generate a heat collection angle control scheme chain;

[0090] Tracking, detection and regulation module 16: used to track, detect and regulate the trough generator based on the trough generator tracking and detection platform and according to the heat collection angle regulation scheme chain.

[0091] Furthermore, the heat collection regulation characteristic node chain generation module 13 is also used to perform the following steps:

[0092] Based on the current heat collection location information and the predetermined future time domain, a sunshine angle characteristic prediction is performed according to the current sunshine angle characteristic information to establish a sunshine angle characteristic diagram in a predicted time domain;

[0093] Perform sunshine angle mutation time correlation according to the predicted time-domain sunshine angle characteristic graph to obtain multiple sunshine angle mutation time nodes;

[0094] Divide the predetermined future time domain according to the multiple sunshine angle mutation time nodes to obtain multiple future time domain partitions;

[0095] According to the predicted time-domain sunshine angle characteristic diagram, the sunshine angles of the multiple future time-domain partitions are respectively fused to generate multiple heat collection control characteristic nodes;

[0096] The plurality of heat collection regulation feature nodes are integrated in a time-series manner to obtain the heat collection regulation feature node chain.

[0097] Furthermore, the heat collection regulation characteristic node chain generation module 13 is also used to perform the following steps:

[0098] According to the predetermined future time domain, setting a mutation detection unit time domain window;

[0099] Perform sunshine angle mutation depth detection on the predicted time-domain sunshine angle characteristic graph according to the mutation detection unit time-domain window to obtain a plurality of sunshine angle mutation depth coefficients;

[0100] Determine whether the plurality of sunshine angle mutation depth coefficients are greater than / equal to a sunshine angle mutation depth threshold, and obtain a set of identified sunshine angle mutation depth coefficients greater than / equal to the sunshine angle mutation depth threshold;

[0101] The predicted time-domain sunshine angle feature graph is associated with time characteristics based on the identified sunshine angle mutation depth coefficient set to generate the multiple sunshine angle mutation time nodes.

[0102] Furthermore, the heat collection angle registration space establishment module 14 is also used to perform the following steps:

[0103] Extracting sunlight angle features of multiple nodes according to the heat collection regulation feature node chain;

[0104] Perform sunshine intensity prediction association fusion according to the sunshine angle characteristics of the multiple nodes to generate sunshine characteristic information of the multiple nodes;

[0105] Based on the current heat collection positioning information, performing heat collection angle association retrieval according to the plurality of node sunshine characteristic information, and obtaining a plurality of node heat collection angle association sets;

[0106] performing discrete point cleaning on the plurality of node heat collection angle association sets respectively to generate a plurality of node heat collection angle association concentration domains;

[0107] Based on the control constraint information of the heat collection angle of the trough power generator, respectively obtaining the intersection of the multiple node heat collection angle associated concentration domains to generate multiple node heat collection angle registration domains;

[0108] The plurality of node heat collection angle registration domains are added to the heat collection angle registration space.

[0109] Furthermore, the heat collection angle control scheme chain generation module 15 is also used to perform the following steps:

[0110] Extracting a first node heat collection angle registration domain according to the heat collection angle registration space;

[0111] Performing a sunshine capture optimization analysis according to the first node heat collection angle registration domain to generate a first node optimal heat collection angle;

[0112] Generate a first node heat collection angle control scheme according to the current heat collection angle information and the first node optimal heat collection angle;

[0113] Extracting a second node heat collection angle registration domain according to the heat collection angle registration space;

[0114] Performing a sunshine capture optimization analysis according to the second node heat collection angle registration domain to generate a second node optimal heat collection angle;

[0115] Generate a second node heat collection angle control plan according to the first node optimal heat collection angle and the second node optimal heat collection angle;

[0116] The first node optimal collection angle and the second node collection angle control scheme are added to the collection angle control scheme chain, and the sunlight capture optimization analysis is continued based on the collection angle alignment space to construct the collection angle control scheme chain.

[0117] Furthermore, the heat collection angle control scheme chain generation module 15 is also used to perform the following steps:

[0118] Retrieving the sunshine characteristic information of the first node corresponding to the heat collection angle registration domain of the first node;

[0119] Obtaining a first heat collection angle according to the first node heat collection angle registration domain;

[0120] Inputting the first node sunshine characteristic information and the first heat collection angle into a pre-built sunshine capture fitness evaluation model to generate a first sunshine capture fitness;

[0121] According to the first node heat collection angle registration domain, a second heat collection angle is obtained, and in combination with the first node sunshine characteristic information and the sunshine capture fitness evaluation model, a second sunshine capture fitness is obtained;

[0122] Comparing the first sunlight capture fitness and the second sunlight capture fitness to determine the current optimal sunlight capture fitness, and combining the first heat collection angle and the second heat collection angle to match the current optimal heat collection angle;

[0123] Based on the current optimal sunlight capture fitness, the current optimal sunlight collection angle is iteratively optimized according to the first node sunlight collection angle alignment domain and the sunlight capture fitness evaluation model to generate the first node optimal sunlight collection angle that meets the iterative optimization times.

[0124] Furthermore, the tracking, detection and regulation module 16 is further configured to perform the following steps:

[0125] The trough generator is controlled based on the heat collection angle control scheme chain, and tracking and detecting heat collection angle information of the trough generator is obtained according to the trough generator tracking and detecting platform;

[0126] Determining the expected heat collection angle information corresponding to the tracking and detecting heat collection angle information according to the heat collection angle control scheme chain;

[0127] Comparing the tracking and detecting heat collection angle information with the expected heat collection angle information to generate a heat collection angle control deviation;

[0128] The trough generator is feedback-regulated according to the heat collection angle control deviation.

[0129] Any step of the tracking and detection method for trough generators described above can be stored as computer instructions or programs in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0130] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to multiple elements that can be selected individually or in full. Obviously, those skilled in the art can make various changes and modifications 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 tracking detection method for trough generators, characterized in that: The method comprises: According to the trough generator tracking and detection platform, the current heat collection positioning information and the current heat collection angle information of the trough generator are obtained; Based on the current heat collection positioning information, according to the sunshine detection platform, current sunshine angle characteristic information is obtained; According to the current sunshine angle characteristic information and the current heat collection positioning information, heat collection control node characteristic analysis is performed on the predetermined future time domain to generate a heat collection control characteristic node chain; According to the heat collection regulation feature node chain, the heat collection angle of the trough generator is predicted and aligned to establish a heat collection angle alignment space; Based on the current heat collection angle information and the heat collection angle registration space, the sunlight capture optimization adjustment is performed to generate a heat collection angle control scheme chain; Based on the trough power generator tracking and detection platform, the trough power generator is tracked, detected and regulated according to the heat collection angle control scheme chain; According to the current sunshine angle characteristic information and the current heat collection positioning information, heat collection control node characteristic analysis is performed on the predetermined future time domain to generate a heat collection control characteristic node chain, including: Based on the current heat collection location information and the predetermined future time domain, a sunshine angle characteristic prediction is performed according to the current sunshine angle characteristic information to establish a sunshine angle characteristic diagram in a predicted time domain; Perform sunshine angle mutation time correlation according to the predicted time-domain sunshine angle characteristic graph to obtain multiple sunshine angle mutation time nodes; Divide the predetermined future time domain according to the multiple sunshine angle mutation time nodes to obtain multiple future time domain partitions; According to the predicted time-domain sunshine angle characteristic diagram, the sunshine angles of the multiple future time-domain partitions are respectively fused to generate multiple heat collection control characteristic nodes; Performing time-series correlation integration according to the plurality of heat collection regulation feature nodes to obtain the heat collection regulation feature node chain; The sunshine angle mutation time is associated with the predicted time-domain sunshine angle characteristic graph to obtain multiple sunshine angle mutation time nodes, including: According to the predetermined future time domain, setting a mutation detection unit time domain window; Perform sunshine angle mutation depth detection on the predicted time-domain sunshine angle characteristic graph according to the mutation detection unit time-domain window to obtain a plurality of sunshine angle mutation depth coefficients; Determine whether the plurality of sunshine angle mutation depth coefficients are greater than / equal to a sunshine angle mutation depth threshold, and obtain a set of identified sunshine angle mutation depth coefficients greater than / equal to the sunshine angle mutation depth threshold; Based on the identified sunshine angle mutation depth coefficient set, the predicted time-domain sunshine angle feature graph is associated with time characteristics to generate the plurality of sunshine angle mutation time nodes; The heat collection angle prediction and registration of the trough generator is performed according to the heat collection regulation characteristic node chain to establish a heat collection angle registration space, including: Extracting sunlight angle features of multiple nodes according to the heat collection regulation feature node chain; Perform sunshine intensity prediction association fusion according to the sunshine angle characteristics of the multiple nodes to generate sunshine characteristic information of the multiple nodes; Based on the current heat collection positioning information, performing heat collection angle association retrieval according to the plurality of node sunshine characteristic information, and obtaining a plurality of node heat collection angle association sets; performing discrete point cleaning on the plurality of node heat collection angle association sets respectively to generate a plurality of node heat collection angle association concentration domains; Based on the control constraint information of the heat collection angle of the trough power generator, respectively obtaining the intersection of the multiple node heat collection angle associated concentration domains to generate multiple node heat collection angle registration domains; The plurality of node heat collection angle registration domains are added to the heat collection angle registration space.

2. A tracking detection method for trough generators according to claim 1, characterized in that: Based on the current heat collection angle information and the heat collection angle registration space, the sunlight capture optimization adjustment is performed to generate a heat collection angle control scheme chain, including: Extracting a first node heat collection angle registration domain according to the heat collection angle registration space; Performing a sunshine capture optimization analysis according to the first node heat collection angle registration domain to generate a first node optimal heat collection angle; Generate a first node heat collection angle control scheme according to the current heat collection angle information and the first node optimal heat collection angle; Extracting a second node heat collection angle registration domain according to the heat collection angle registration space; Performing a sunshine capture optimization analysis according to the second node heat collection angle registration domain to generate a second node optimal heat collection angle; Generate a second node heat collection angle control plan according to the first node optimal heat collection angle and the second node optimal heat collection angle; The first node optimal collection angle and the second node collection angle control scheme are added to the collection angle control scheme chain, and the sunlight capture optimization analysis is continued based on the collection angle alignment space to construct the collection angle control scheme chain.

3. A tracking and detection method for a trough generator as claimed in claim 2, characterized in that: Performing a sunshine capture optimization analysis according to the first node heat collection angle registration domain to generate a first node optimal heat collection angle includes: Retrieving the sunshine characteristic information of the first node corresponding to the heat collection angle registration domain of the first node; Obtaining a first heat collection angle according to the first node heat collection angle registration domain; Inputting the first node sunshine characteristic information and the first heat collection angle into a pre-built sunshine capture fitness evaluation model to generate a first sunshine capture fitness; According to the first node heat collection angle registration domain, a second heat collection angle is obtained, and in combination with the first node sunshine characteristic information and the sunshine capture fitness evaluation model, a second sunshine capture fitness is obtained; Comparing the first sunlight capture fitness and the second sunlight capture fitness to determine the current optimal sunlight capture fitness, and combining the first heat collection angle and the second heat collection angle to match the current optimal heat collection angle; Based on the current optimal sunlight capture fitness, the current optimal sunlight collection angle is iteratively optimized according to the first node sunlight collection angle alignment domain and the sunlight capture fitness evaluation model to generate the first node optimal sunlight collection angle that meets the iterative optimization times.

4. A tracking and detection method for a trough generator according to claim 1, characterized in that: Based on the trough generator tracking and detection platform, the trough generator is tracked, detected and regulated according to the heat collection angle control scheme chain, including: The trough generator is controlled based on the heat collection angle control scheme chain, and tracking and detecting heat collection angle information of the trough generator is obtained according to the trough generator tracking and detecting platform; According to the heat collection angle control scheme chain, determining the expected heat collection angle information corresponding to the tracking and detecting heat collection angle information; Comparing the tracking and detecting heat collection angle information with the expected heat collection angle information to generate a heat collection angle control deviation; The trough generator is feedback-regulated according to the heat collection angle control deviation.

5. A tracking and detection system for trough generators, characterized in that: The system is used to execute a tracking detection method for a trough generator according to any one of claims 1 to 4, and the system comprises: Generator information acquisition module: used to obtain the current heat collection positioning information and current heat collection angle information of the trough generator according to the trough generator tracking and detection platform; A sunshine angle feature acquisition module is used to obtain the current sunshine angle feature information based on the current heat collection location information and the sunshine detection platform; A heat collection control feature node chain generation module is used to perform heat collection control node feature analysis on a predetermined future time domain according to the current sunshine angle feature information and the current heat collection positioning information, and generate a heat collection control feature node chain; A heat collection angle registration space establishment module is used to predict and register the heat collection angle of the trough generator according to the heat collection regulation feature node chain, and establish a heat collection angle registration space; A heat collection angle control scheme chain generation module is used to perform optimal adjustment of sunlight capture based on the current heat collection angle information and the heat collection angle registration space, and generate a heat collection angle control scheme chain; Tracking, detection and regulation module: used to track, detect and regulate the trough generator based on the trough generator tracking and detection platform and according to the heat collection angle regulation scheme chain.

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