Solar optical fiber transmission control method, device and integrated power station

Abstract

The present invention provides a solar optical fiber transmission control method, device and integrated power station, belonging to the field of transmission control technology, and the method includes: obtaining a preliminary deployment plan of a light source conversion area, and sequentially performing illumination simulation experiments on the construction structure of the preliminary deployment plan according to a simulation example set, and obtaining simulation result sets under different simulation examples; inputting each simulation result set into a blank list in turn, constructing a preliminary analysis matrix of the construction structure, and calculating the eigenvector of the preliminary analysis matrix; analyzing the first reference value of each row and the second reference value of each column in the preliminary analysis matrix, and locking the reference example in combination with the eigenvector; determining the optimization plan of the construction structure according to the instance characteristics of each simulation example and the uneven deployment of the reference example to adjust the construction structure, and controlling the transmission of the solar optical fiber based on the adjusted structure. A reasonable match with the light source conversion area is achieved, and the power generation is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of transmission control technology, and in particular to a solar optical fiber transmission control method, device and integrated power station. Background Art

[0002] With the vigorous development of science and technology as well as industry and commerce, what follows is that things will turn to the opposite extreme and need to be faced with and urgently resolved are the earth's energy crisis, environmental crisis and climate change crisis. So far, a consensus has been reached on vigorously developing green and renewable new energy to solve various crisis problems and achieve global environmental carbon neutrality, and thus the application of new energy integrated and mutually complementary super power station technology has been born.

[0003] The technology of new energy integrated mutual auxiliary super power station mainly uses optical fiber as the carrier. The conductor of the optical fiber itself is mainly made of glass material (SiO2). Its transmission uses the principle that light passes through a high refractive index medium and enters a low refractive index medium at an angle higher than the critical angle to produce total reflection, allowing light to maintain the characteristics of the light waveform in this medium for transmission. Therefore, based on solar optical fiber, the light source can be transmitted to any area to be more suitable for new energy integrated mutual auxiliary super power station.

[0004] The system for introducing light sources into any area is designed to be installed at the top of the outer area of ​​the photovoltaic integrated conversion box. The optical fiber solar light source introduction device is used to concentrate the light and heat source radiated by the sun into the power station to form a strong light source focusing effect to convert and increase the power generation of solar power generation materials in the station. However, in this process, since the structure of the device system is fixed (that is, the various structural blocks involved in the structure cannot be changed at will), it cannot be reasonably matched with the deployment area, which will undoubtedly reduce the power generation.

[0005] Therefore, the present invention provides a solar optical fiber transmission control method, device and integrated power station. Summary of the invention

[0006] The present invention provides a solar optical fiber transmission control method, device and integrated power station, which are used to perform simulation experiments on different simulation examples for preliminary deployment plans, and combine the staggered deployment to intelligently obtain optimization of the construction structure, achieve reasonable matching with the light source conversion area, and effectively increase power generation.

[0007] The present invention provides a solar optical fiber transmission control method, comprising:

[0008] Step 1: Obtain a preliminary deployment plan for the light source conversion area, and perform lighting simulation experiments on the construction structure of the preliminary deployment plan in turn according to the simulation instance set to obtain a simulation result set under different simulation instances;

[0009] Step 2: Input each simulation result set into a blank list in turn, construct a preliminary analysis matrix of the built structure, and calculate the eigenvector of the preliminary analysis matrix;

[0010] Step 3: Analyze the first reference value of each row and the second reference value of each column in the preliminary analysis matrix, and lock the reference instance in combination with the feature vector;

[0011] Step 4: According to the instance characteristics of each simulation instance and the uneven deployment of the reference instance, an optimization scheme of the building structure is determined to adjust the building structure, and the solar optical fiber is controlled to transmit based on the adjusted structure.

[0012] Preferably, a lighting simulation experiment is performed on the construction structure of the preliminary deployment scheme in sequence according to the simulation example set, including:

[0013] Extracting existing structural blocks in sequence from the preliminary deployment plan;

[0014] Retrieving simulation components matching the structural blocks from the simulation platform in sequence, and constructing the simulation components according to the construction order of each structural block in the preliminary deployment plan;

[0015] After all simulation components are built based on the simulation platform, simulation programs of different simulation instances are written into the simulation platform, and a lighting simulation experiment is performed;

[0016] The simulation instance set includes several simulation instances under different lighting conditions.

[0017] Preferably, analyzing the first reference value of each row in the preliminary analysis matrix comprises:

[0018] Analyzing a first offset of each row in the preliminary analysis matrix, wherein each row in the preliminary analysis matrix is ​​a simulation result set corresponding to a simulation instance, and the simulation result set includes an illumination result of each structural block in the construction result;

[0019] Count the number of first offset elements in each row that are not within the parameter standard result range set for the corresponding simulation instance;

[0020] Based on the first offset degree and the number of first offset elements, a first reference value of the corresponding row is calculated.

[0021] Preferably, analyzing the second reference value of each column in the preliminary analysis matrix comprises:

[0022] Analyzing the second offset of each column in the preliminary analysis matrix, wherein each column in the analysis matrix corresponds to the illumination result for the same structural block under different simulation instances;

[0023] Count the number of second offset elements in each column that are not within the parameter standard result range set for the corresponding simulation instance;

[0024] Based on the second offset degree and the number of second offset elements, a second reference value of the corresponding column is calculated.

[0025] Preferably, in combination with the feature vector locking reference example, it includes:

[0026] Subtracting the eigenvector from each row vector in the preliminary analysis matrix to obtain a first difference vector of the corresponding row vector;

[0027] Performing numerical normalization processing on the difference vectors, and calculating a first variance of each first difference vector;

[0028] Subtract each element in the eigenvector from the corresponding column vector in the preliminary analysis matrix to obtain a second difference vector of the corresponding column vector;

[0029] performing numerical normalization processing on the second difference vectors, and calculating a second variance of each second difference vector;

[0030] According to the first variance corresponding to each row vector, the illumination characteristics of the simulation instance corresponding to each row vector, and all the second variances, a first coefficient is set for the corresponding simulation instance;

[0031] Based on the first coefficient corresponding to each row vector, the first reference value, and all the involved second reference values, setting the second coefficient to the corresponding simulation instance;

[0032] A third coefficient that is smaller than a preset coefficient is extracted from all the second coefficients, and a simulation instance that matches the third coefficient is locked as a reference instance.

[0033] Preferably, according to the instance characteristics of each simulation instance and the uneven deployment of the reference instance, an optimization scheme of the building structure is determined, including:

[0034] Obtaining instance characteristics of each simulation instance based on the instance-characteristic comparison table, wherein the instance characteristics are related to the daily occurrence probability of the corresponding light;

[0035] Obtaining an ideal result of the constructed structure from a structure-result database, and comparing and analyzing a simulation result set of each reference instance with the ideal result to determine an abnormal block based on the corresponding reference instance;

[0036] The occurrence probability of each abnormal block, the dependency relationship between the instance characteristics of the reference instance to which the abnormal block belongs and the instance characteristics of all reference instances, and the abnormal deviation information of each abnormal block are counted respectively, and the adjustment function of the corresponding abnormal block is constructed;

[0037] According to the deployment progressive relationship of each structural block in the building structure, all adjustment functions are processed to obtain an optimization solution for the building structure.

[0038] Preferably, all adjustment functions are processed, including:

[0039] All adjustment functions are sorted in order of deployment progression;

[0040] Extracting the double block attributes of the two structural blocks corresponding to the adjacent adjustment functions based on the order-by-order results from the attribute comparison table;

[0041] Inputting the dual block attributes and the corresponding adjacent adjustment functions into a structural optimization model to obtain adjustment parameters of adjacent structural blocks;

[0042] When a structural block has a contiguous number, the corresponding adjustment parameter is retained;

[0043] When there are two adjacent numbers of the structure block, the adjustment parameters under the two modes involved are processed and the corresponding processing parameters are retained;

[0044] All retained parameters are refined to obtain the corresponding optimization solutions.

[0045] Preferably, after determining the optimization scheme of the building structure according to the instance characteristics of all reference instances, the method further includes:

[0046] Acquiring setting information of a light source positioning sensor based on the constructed structure;

[0047] Actually obtain the reflection of sunlight projection fixtures in the light source conversion area at different illumination moments, and construct the reflection sequence under the corresponding illumination cycle;

[0048] Determining a conventional effectiveness factor for a light source positioning sensor setup based on a number of reflection sequences;

[0049] Based on the set light source positioning sensor, the light source information is captured at each lighting moment, and a light source capture scatter plot based on all light source positioning sensors at each lighting moment is constructed;

[0050] The light source capture scatter diagram is sorted in sequence according to the illumination moment sequence to obtain the light source movement trajectory of each light source positioning sensor;

[0051] Construct an analysis function based on the movement trajectories of all light sources;

[0052] Obtaining a setting effective coefficient matching the analysis function from a function-adjustment comparison table;

[0053] When the setting effective coefficient and the conventional effective coefficient meet the consistency standard, it is determined that the setting information of the light source positioning sensor does not need to be changed;

[0054] otherwise, determining the change level from a difference-level comparison table according to the coefficient difference between the conventional effective coefficient and the set effective coefficient;

[0055] The energy attenuation coefficient of each light source movement trajectory is analyzed, and the energy attenuation coefficients are sorted in order of magnitude, and the light source positioning sensors corresponding to the first N1 energy attenuation coefficients are screened according to the change level for position adjustment.

[0056] The present invention provides a solar optical fiber transmission control device, comprising:

[0057] The lighting simulation experiment module is used to obtain a preliminary deployment plan of the light source conversion area, and to perform lighting simulation experiments on the construction structure of the preliminary deployment plan in turn according to the simulation instance set to obtain a simulation result set under different simulation instances;

[0058] A matrix building module, used for inputting each simulation result set into a blank list in sequence, building a preliminary analysis matrix of the building structure, and calculating the eigenvector of the preliminary analysis matrix;

[0059] An instance locking module, used for analyzing the first reference value of each row and the second reference value of each column in the preliminary analysis matrix, and locking the reference instance in combination with the feature vector;

[0060] The structure optimization module is used to determine the optimization scheme of the building structure according to the instance characteristics of each simulation instance and the uneven deployment of the reference instance to adjust the building structure, and control the transmission of the solar optical fiber based on the adjusted structure.

[0061] The present invention provides an integrated power station for executing any of the above-mentioned solar optical fiber transmission control methods.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] By conducting simulation experiments on different simulation examples for the preliminary deployment plan, and combining the intelligent optimization of the construction structure with the staggered deployment, a reasonable match with the light source conversion area is achieved, effectively increasing the power generation.

[0064] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0065] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0067] Figure 1 This is a flow chart of a solar optical fiber transmission control method according to an embodiment of the present invention;

[0068] Figure 2 This is a structural diagram of a solar optical fiber transmission control device in an embodiment of the present invention;

[0069] Figure 3 This is an integrated structural diagram of the inner and outer cones in an embodiment of the present invention;

[0070] Figure 4 This is the actual application structure diagram of the inner and outer cones. DETAILED DESCRIPTION

[0071] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0072] The present invention provides a solar optical fiber transmission control method, such as Figure 1 As shown, including:

[0073] Step 1: Obtain a preliminary deployment plan for the light source conversion area, and perform lighting simulation experiments on the construction structure of the preliminary deployment plan in turn according to the simulation instance set to obtain a simulation result set under different simulation instances;

[0074] Step 2: Input each simulation result set into a blank list in turn, construct a preliminary analysis matrix of the built structure, and calculate the eigenvector of the preliminary analysis matrix;

[0075] Step 3: Analyze the first reference value of each row and the second reference value of each column in the preliminary analysis matrix, and lock the reference instance in combination with the feature vector;

[0076] Step 4: According to the instance characteristics of each simulation instance and the uneven deployment of the reference instance, an optimization scheme of the building structure is determined to adjust the building structure, and the solar optical fiber is controlled to transmit based on the adjusted structure.

[0077] In this embodiment, the light source conversion area refers to the area where the construction structure needs to be deployed, and the construction structure refers to the optical fiber solar light source introduction system. The system collects sunlight light sources by tracking the trajectory of the sun, and generates a light source focusing surface through a light focusing lens assembly device system. The light source focusing surface is converted into a powerful illumination light source through a special optical fiber bundled optical cable, and then the powerful light source is reflected to the inner area of ​​the optoelectronic integrated conversion box through a sunlight projection device. The light source first passes through the lighting and heat insulation system layer of the inner box area. The lighting and heat insulation system layer blocks the high heat and high temperature energy generated by the focusing of the light source, and then passes through the Fresnel light focusing technology layer to form an energy focusing surface that only collects light sources to directly illuminate the four built-in solar photovoltaic panels and twelve cadmium telluride power generation glasses to enhance and convert more new energy.

[0078] In this embodiment, the building structure includes: a light-gathering lens assembly--optical fiber bundled optical cable--sunlight projection lighting--lighting and heat-insulating system layer--Fresnel light focusing technology layer--four solar photovoltaic panels and twelve cadmium telluride power generation glasses, and each part is a structural block. Specifically, the preliminary deployment plan refers to a plan for building a structural deployment for the light source conversion area, and the plan includes deployment parameters of each structural block in the building structure. For example, the deployment parameters of the light-gathering lens assembly include: set field of view angle, optical parameter specifications, etc., and the deployment parameters of the optical fiber bundled optical cable include: cable length, cable radius, etc., and so on. The relevant parameters of different structural blocks can be obtained, which are all known and set.

[0079] In this embodiment, the implementation of the system can directly introduce light into dark spaces such as houses, basements, and factory warehouses that cannot receive sunlight to achieve lighting using natural sunlight, and can also be used as a basis for power generation.

[0080] In this embodiment, an important construction principle adopted in the new energy integrated mutual auxiliary super power station includes a super power generation cone, and the super power generation cone is realized based on the scientific principle of sunlight refraction on the surface of the earth and the scientific theory that objects can receive sunlight energy in all directions.

[0081] Figure 3 This is the structure diagram of the inner and outer cones. The principle is: using high-strength and light-weight metal materials, according to the design, a cone with a diameter of five meters and a height of five meters is processed as the inner cone skeleton structure. Through technology, the inner and outer sides of the inner cone skeleton structure are extended to form the inner cone 01.

[0082] High-strength and light-weight metal materials are used to form a hollow cone skeleton structure in the gap between the photovoltaic cell modules of the inner cone device through outward expansion and protrusion welding technology. High-transparency Fresnel linear light focusing materials are used to perform mosaic assembly along the hollow cone skeleton structure according to the optimal light focusing effect and gap distance, thus forming the outer cone 02. Among them, the inner cone 01 and the outer cone 02 can be designed as an integrated combination.

[0083] like Figure 4 As shown, a schematic diagram of applying solar fiber optic introduction technology to a super power generation cone is shown, wherein 11 represents an outdoor lighting device system, 12 represents a solar refraction light-collecting ball, 13 is a high-precision Fresnel light focusing lens, 14 is an inner cone, 15 is an outer cone, 16 is an LED artificial light source radiation system, 17 is a light source radiation column, 18 is an intelligent mechanical turntable device system, 19 is a light source reflection device system, 20 is a vaporized aluminum concave mirror, 21 is a light-conducting laminated solar cell, and 22 is a solar fiber optic. The implementation principle is specifically as follows: the outdoor lighting device system 11 receives outdoor sunlight, and the high-precision Fresnel light focusing lens 13 arranged inside the solar refraction light-collecting ball 12 realizes high-intensity focusing of the light source, and the light source is concentratedly transmitted to the optical fiber solar light source introduction system through the light source reflection channel.

[0084] In this embodiment, the solar optical fiber is integrated by using several special low-loss optical fibers, and the light source radiation column is installed in the middle position inside the super power generation cone according to the assembly design, thus forming a light source introduction system.

[0085] In this embodiment, the simulation results include: focusing lens assembly - light source focusing surface; optical fiber bundled optical cable - irradiation light source; sunlight projection lighting - reflection situation; lighting and heat insulation system layer - high heat and high temperature energy barrier generated by light source focusing; Fresnel light focusing technology layer - energy focusing surface for collecting light source; four solar photovoltaic panels and twelve cadmium telluride power generation glasses - power generation.

[0086] In this embodiment, the illumination simulation experiment refers to illuminating the constructed structure according to the simulation example in the simulation example set to obtain the generation results in different structural blocks.

[0087] In this embodiment, the simulation instance set includes simulation instances under different lighting conditions.

[0088] In this embodiment, the blank list includes descriptions of the required results corresponding to different structural blocks. The blank cells under the corresponding description of each result in the simulation result set are filled to obtain a preliminary analysis matrix, that is:

[0089] In this embodiment, the acquisition of the eigenvector of a matrix is ​​a prior art.

[0090] In this embodiment, the first reference value and the second reference value are related to the offset degree and the number of offset elements.

[0091] In this embodiment, the purpose of locking the reference instance is that the simulated lighting results based on the simulation instance under the constructed structure cannot well meet the relevant standards for power generation, so it is necessary to lock the instance to optimize the structure, and the optimization of the structure is based on the adjustment of the simulation results to achieve the optimization of relevant deployment parameters.

[0092] In this embodiment, the staggered deployment refers to the staggered adjustment between adjacent structural blocks based on different reference instances.

[0093] In this embodiment, the optimization solution refers to the adjustment of deployment parameters in the structure.

[0094] In this embodiment, the comparison adjustment refers to actually adjusting the structure block according to the adjusted deployment parameters.

[0095] The beneficial effect of the above technical solution is: by conducting simulation experiments on different simulation examples for the preliminary deployment plan, and combining the intelligent acquisition of the staggered deployment to optimize the built structure, a reasonable match with the light source conversion area is achieved, effectively increasing the power generation.

[0096] The present invention provides a solar optical fiber transmission control method, which sequentially performs illumination simulation experiments on the construction structure of the preliminary deployment scheme according to a simulation example set, including:

[0097] Extracting existing structural blocks in sequence from the preliminary deployment plan;

[0098] Retrieving simulation components matching the structural blocks from the simulation platform in sequence, and constructing the simulation components according to the construction order of each structural block in the preliminary deployment plan;

[0099] After all simulation components are built based on the simulation platform, simulation programs of different simulation instances are written into the simulation platform, and a lighting simulation experiment is performed;

[0100] The simulation instance set includes several simulation instances under different lighting conditions.

[0101] In this embodiment, the structural blocks include: a light focusing lens assembly, an optical fiber bundled optical cable, a photoelectric integrated conversion box inner area system, a lighting and heat insulation system layer, a Fresnel light focusing technology layer, four solar photovoltaic panels and twelve cadmium telluride power generation glasses.

[0102] In this embodiment, the simulation platform may be a Matlab platform, which includes different simulation components that are pre-drawn for easy direct access and use.

[0103] In this embodiment, the building sequence refers to the working principle of the building structure.

[0104] In this embodiment, the simulation example refers to the simulation achieved by setting a sunlight light source to illuminate the light-gathering lens assembly, and the sunlight light source is obtained based on the daily lighting conditions in the area, and is related to the lighting direction, lighting intensity, and lighting coverage area.

[0105] The beneficial effects of the above technical solution are: by extracting structural blocks and matching simulation components, the sequential construction of components is achieved, which effectively ensures the reasonable acquisition of the construction structure, provides a basis for simulation, and subsequently realizes the lighting simulation experiment by writing a program.

[0106] The present invention provides a solar optical fiber transmission control method, which analyzes the first reference value of each row in the preliminary analysis matrix, including:

[0107] Analyzing a first offset of each row in the preliminary analysis matrix, wherein each row in the preliminary analysis matrix is ​​a simulation result set corresponding to a simulation instance, and the simulation result set includes an illumination result of each structural block in the construction result;

[0108] Count the number of first offset elements in each row that are not within the parameter standard result range set for the corresponding simulation instance;

[0109] Based on the first offset degree and the number of first offset elements, a first reference value of the corresponding row is calculated.

[0110] In this embodiment, the preliminary deployment scheme is input into the scheme analysis model to obtain a standard information set, wherein the standard information set includes standard result ranges corresponding to different structural blocks. The scheme analysis model is obtained by training the neural network model based on different deployment schemes and standard result ranges of different structural blocks involved in the schemes as samples. Therefore, it is possible to directly obtain whether each element in the matrix is ​​within the corresponding standard structure range, and then obtain the first offset degree;

[0111] in, Among them, n1 represents the number of elements involved in the row vector, r i Indicates whether the value of the i-th element in the corresponding row vector is within the standard result range. If so, r i The value is 1, otherwise, r i The value is 0; Δy irepresents the absolute value of the difference between the nearest boundary in the standard result range corresponding to the i-th element in the corresponding row vector; f1i represents the left boundary value of the standard result range corresponding to the i-th element in the corresponding row vector; f2i represents the right boundary value of the standard result range corresponding to the i-th element in the corresponding row vector;

[0112] In this embodiment, the number of first offset elements refers to the number of elements in the corresponding row vector that are not within the corresponding standard result range.

[0113] In this embodiment,

[0114] The beneficial effect of the above technical solution is: by analyzing the offset degree and the number of offset elements of the row vector, a first reference value is obtained, providing a basis for subsequent locking instances.

[0115] The present invention provides a solar optical fiber transmission control method, which analyzes the second reference value of each column in the preliminary analysis matrix, including:

[0116] Analyzing the second offset of each column in the preliminary analysis matrix, wherein each column in the analysis matrix corresponds to the illumination result for the same structural block under different simulation instances;

[0117] Count the number of second offset elements in each column that are not within the parameter standard result range set for the corresponding simulation instance;

[0118] Based on the second offset degree and the number of second offset elements, a second reference value of the corresponding column is calculated.

[0119] In this embodiment, Among them, n represents the number of elements involved in the column vector, r 1 j Indicates whether the value of the jth element in the corresponding column vector is within the standard result range. If so, r 1j The value is 1, otherwise, r 1j The value is 0; Δx j represents the absolute value of the difference between the nearest boundary in the standard result range corresponding to the j-th element in the corresponding column vector; f01j represents the left boundary value of the standard result range corresponding to the j-th element in the corresponding column vector; f02j represents the right boundary value of the standard result range corresponding to the j-th element in the corresponding column vector;

[0120] In this embodiment, the second offset element number refers to the number of elements in the corresponding column vector that are not within the corresponding standard result range.

[0121] In this embodiment,

[0122] The beneficial effect of the above technical solution is: by analyzing the offset degree and the number of offset elements of the column vector, the second reference value is obtained, providing a basis for subsequent locking instances.

[0123] The present invention provides a solar optical fiber transmission control method, which, in combination with the characteristic vector locking reference example, comprises:

[0124] Subtracting the eigenvector from each row vector in the preliminary analysis matrix to obtain a first difference vector of the corresponding row vector;

[0125] Performing numerical normalization processing on the difference vectors, and calculating a first variance of each first difference vector;

[0126] Subtract each element in the eigenvector from the corresponding column vector in the preliminary analysis matrix to obtain a second difference vector of the corresponding column vector;

[0127] performing numerical normalization processing on the second difference vectors, and calculating a second variance of each second difference vector;

[0128] According to the first variance corresponding to each row vector, the illumination characteristics of the simulation instance corresponding to each row vector, and all the second variances, a first coefficient is set for the corresponding simulation instance;

[0129] Based on the first coefficient corresponding to each row vector, the first reference value, and all the involved second reference values, setting the second coefficient to the corresponding simulation instance;

[0130] A third coefficient that is smaller than a preset coefficient is extracted from all the second coefficients, and a simulation instance that matches the third coefficient is locked as a reference instance.

[0131] In this embodiment, the feature vector includes the feature value of each structure block, and the first difference vector = the feature vector - the corresponding row vector.

[0132] In this embodiment, the purpose of the numerical normalization process is to control the numerical value between 0 and 1 to facilitate calculation.

[0133] In this embodiment, the variance is calculated based on the variance formula, which is an existing calculation formula.

[0134] In this embodiment, the second difference vector=the elements of a column in the feature vector are sequentially subtracted from the element values ​​in the corresponding column vector.

[0135] In this embodiment, the first coefficient = σ1 2 +sumσ2 2 ×R gz , where σ1 2 represents the corresponding first variance; sumσ22 represents the sum of all second variances; R gz Represents the result influence coefficient of the lighting characteristics of the corresponding simulation instance.

[0136] In this embodiment, the calculation formula of the second coefficient is as follows:

[0137]

[0138] Where D2 is the second coefficient; d1 is the corresponding first reference value; d2 i is the i-th second reference value; For all d2 i The variance of ; ln is the sign of the logarithmic function.

[0139] In this embodiment, the value of the preset coefficient is generally 0.3.

[0140] In this embodiment, coefficients less than 0.3 are extracted from all D2 and regarded as the third coefficients.

[0141] In this embodiment, the second coefficient of the 5th row vector is less than the preset coefficient. At this time, the instance corresponding to the 5th row vector is used as a reference instance.

[0142] The beneficial effect of the above technical solution is: by calculating the row vector and the column vector, it is easy to obtain the difference vector, and further normalization processing is performed to facilitate the rationality of the calculation, and then by calculating the first coefficient and the second coefficient, the reference instance is effectively screened out, providing a basis for obtaining subsequent optimization solutions.

[0143] The present invention provides a solar optical fiber transmission control method, which determines the optimization scheme of the building structure according to the instance characteristics of each simulation instance and the staggered deployment of the reference instance, including:

[0144] Obtaining instance characteristics of each simulation instance based on the instance-characteristic comparison table, wherein the instance characteristics are related to the daily occurrence probability of the corresponding light;

[0145] Obtaining an ideal result of the constructed structure from a structure-result database, and comparing and analyzing a simulation result set of each reference instance with the ideal result to determine an abnormal block based on the corresponding reference instance;

[0146] The occurrence probability of each abnormal block, the dependency relationship between the instance characteristics of the reference instance to which the abnormal block belongs and the instance characteristics of all reference instances, and the abnormal deviation information of each abnormal block are respectively counted to construct an adjustment function for the corresponding abnormal block;

[0147] According to the deployment progressive relationship of each structural block in the building structure, all adjustment functions are processed to obtain an optimization solution for the building structure.

[0148] In this embodiment, the instance-characteristic comparison table includes different simulation instances and the daily probability of light occurrence of the simulation instance in the corresponding area. Therefore, it can be directly obtained, mainly to ensure that the structure set in the area can obtain the maximum power generation.

[0149] In this embodiment, the structure-result database includes different built structures and ideal results for the structures, and the ideal results include lighting results of different parts and blocks.

[0150] In this embodiment, the comparative analysis is to compare the same part blocks of all part blocks in sequence to determine the structural blocks that do not match the actual and ideal ones and regard them as abnormal blocks.

[0151] In this embodiment, for example, the actual result of the structure block u0 is a1, and the ideal result of the structure block u0 is a2. At this time, a1 does not match a2, and the structure block u0 is regarded as an abnormal block.

[0152] In this embodiment, the occurrence probability = the number of occurrences of the corresponding abnormal block in all reference examples / the total number of all reference examples.

[0153] In this embodiment, the dependency relationship refers to the daily occurrence probability of the reference instance to which the corresponding abnormal block belongs / the total occurrence probability of the instance characteristics of all reference instances, and the value of the total occurrence probability is generally 1.

[0154] In this embodiment, the abnormal deviation information refers to deviation information of the result, such as deviation of the focus of the light source focusing surface, the transmission direction, etc.

[0155] In this embodiment, the adjustment function=P(probability of occurrence of abnormal blocks, dependency, abnormal deviation information).

[0156] In this embodiment, the component progressive relationship refers to the principle relationship between the previous component and the next component determined according to the principle sequence.

[0157] The beneficial effect of the above technical solution is that abnormal blocks can be determined by comparing the ideal and simulated results, and then an adjustment function is constructed through the occurrence probability, dependency and abnormal deviation information, and an optimization solution is obtained by combining the progressive relationship, providing a reliable basis for controlling transmission.

[0158] The present invention provides a solar optical fiber transmission control method, which processes all adjustment functions, including:

[0159] All adjustment functions are sorted in order of deployment progression;

[0160] Extracting the double block attributes of the two structural blocks corresponding to the adjacent adjustment functions based on the order-by-order results from the attribute comparison table;

[0161] Inputting the dual block attributes and the corresponding adjacent adjustment functions into a structural optimization model to obtain adjustment parameters of adjacent structural blocks;

[0162] When a structural block has a contiguous number, the corresponding adjustment parameter is retained;

[0163] When there are two adjacent numbers of the structure block, the adjustment parameters under the two modes involved are processed and the corresponding processing parameters are retained;

[0164] All retained parameters are refined to obtain the corresponding optimization solutions.

[0165] In this embodiment, the attribute comparison table contains block attributes of different structural blocks, and the attributes are related to the allowable adjustment parameters of the structural blocks.

[0166] In this embodiment, the double-block attribute refers to the attribute of two adjacent structural blocks.

[0167] In this embodiment, the structural optimization model is obtained by training the neural network model based on dual-block attributes, adjacent adjustment functions and adjustment parameters as samples. Therefore, the adjustment parameters of the corresponding structural blocks can be directly obtained, and the adjustment parameters can be, for example, the adjustment of the focus, the adjustment of the structural block connection position, etc.

[0168] In this embodiment, there is one adjacent quantity for the light-gathering lens assembly, four solar photovoltaic panels, and twelve cadmium telluride power-generating glasses, and there are two adjacent quantities for the optical fiber bundled optical cable, the photovoltaic integrated conversion box inner area system, the lighting and heat insulation system layer, and the Fresnel light focusing technology layer.

[0169] In this embodiment, the process of adjusting the parameters is generally a mean process.

[0170] In this embodiment, parameter polishing refers to adjusting which parameters of which structural blocks are specifically adjusted, and then combining the resulting optimization solutions.

[0171] The beneficial effect of the above technical solution is that the arrangement is arranged in order according to the deployment progression relationship to facilitate the reasonable acquisition of the adjustment parameters of the structural blocks, and then to construct an optimization plan to achieve the overall adjustment of the structure, thereby increasing the power generation.

[0172] The present invention provides a solar optical fiber transmission control method, which, after determining the optimization scheme of the building structure according to the example characteristics of all reference examples, further comprises:

[0173] Acquiring setting information of a light source positioning sensor based on the constructed structure;

[0174] Actually obtain the reflection of sunlight projection fixtures in the light source conversion area at different illumination moments, and construct the reflection sequence under the corresponding illumination cycle;

[0175] Determining a conventional effectiveness factor for a light source positioning sensor setup based on a number of reflection sequences;

[0176] Based on the set light source positioning sensor, the light source information is captured at each lighting moment, and a light source capture scatter plot based on all light source positioning sensors at each lighting moment is constructed;

[0177] The light source capture scatter diagram is sorted in sequence according to the illumination moment sequence to obtain the light source movement trajectory of each light source positioning sensor;

[0178] Construct an analysis function based on the movement trajectories of all light sources;

[0179] Obtaining a setting effective coefficient matching the analysis function from a function-adjustment comparison table;

[0180] When the setting effective coefficient and the conventional effective coefficient meet the consistency standard, it is determined that the setting information of the light source positioning sensor does not need to be changed;

[0181] otherwise, determining the change level from a difference-level comparison table according to the coefficient difference between the conventional effective coefficient and the set effective coefficient;

[0182] The energy attenuation coefficient of each light source movement trajectory is analyzed, and the energy attenuation coefficients are sorted in order of magnitude, and the light source positioning sensors corresponding to the first N1 energy attenuation coefficients are screened according to the change level for position adjustment.

[0183] In this embodiment, N1 is obtained based on a level-double quantity comparison table, which includes the change level, the originally set number of sensors, and the number of sensors that need position adjustment, thereby directly obtaining the number of sensors that need position adjustment, namely N1.

[0184] In this embodiment, the light source positioning sensor is used to position and track sunlight to collect light sources.

[0185] In this embodiment, the setting information refers to the setting position of the sensor based on the area extracted based on the deployment plan.

[0186] In this embodiment, the reflection condition refers to the reflected illumination energy corresponding to the illumination moment, and a reflection sequence = {reflected illumination energy at different illumination moments} can be constructed.

[0187] In this embodiment, the conventional effective coefficient = the statistical number of moments when the absolute value of the difference between the reflected illumination energy at each illumination moment and the preset illumination energy at the corresponding moment is within the set range / the total number of moments involved in the corresponding illumination cycle.

[0188] In this embodiment, the light source capture scatter plot refers to the electrical signal generated after the corresponding light source positioning sensor locates the light source, and the electrical signal is the corresponding light source capture information, and then the electrical signal is converted from analog to digital to obtain the value at each lighting moment, and then the value is attached to the corresponding position depending on the distribution position of the light source positioning sensor to construct a light source capture scatter plot.

[0189] In this embodiment, the moving trajectory of the light source is the change of the value corresponding to the position of the sensor.

[0190] In this embodiment, the analysis function = F (movement trajectories of different light sources).

[0191] In this embodiment, the function-adjustment comparison table includes coefficients matching the analysis function and is preset.

[0192] In this embodiment, the consistency standard refers to setting the absolute value of the difference between the effective coefficient and the conventional effective coefficient to be less than 0.3.

[0193] In this embodiment, the coefficient difference is the absolute value of the coefficient difference between the set effective coefficient and the conventional effective coefficient, and the difference-level comparison table includes different coefficient differences and levels matching the differences, and the level setting is to reasonably adjust the position of the sensor.

[0194] In this embodiment, the energy attenuation coefficient=the variance of the absolute value of the energy difference between adjacent light sources in the corresponding light source movement trajectory.

[0195] In this embodiment, the setting positions of the screened light source positioning sensors and the setting positions of all light source positioning sensors are input into the position analysis model to obtain position adjustment information of the screened sensors. The position analysis model is based on the setting positions of different combinations of sensors and randomly screened sensor combinations, and the adjustment information is used as samples to train a neural network model. It can be directly obtained, for example, by moving the light source positioning sensor from position 1 to position 2.

[0196] The beneficial effect of the above technical solution is: by obtaining the reflection of the sunlight projection illuminator as the basis for judgment, a coefficient is calculated, and subsequently the analysis function is constructed and another coefficient is obtained by capturing the light source, and then the number and situation of changes are effectively realized through the judgment of the consistency standard, thereby ensuring the accuracy of positioning and thus the efficiency of power generation.

[0197] The present invention provides a solar optical fiber transmission control device, such as Figure 2 As shown, including:

[0198] The lighting simulation experiment module is used to obtain a preliminary deployment plan of the light source conversion area, and to perform lighting simulation experiments on the construction structure of the preliminary deployment plan in turn according to the simulation instance set to obtain a simulation result set under different simulation instances;

[0199] A matrix building module, used for inputting each simulation result set into a blank list in sequence, building a preliminary analysis matrix of the building structure, and calculating the eigenvector of the preliminary analysis matrix;

[0200] An instance locking module, used for analyzing the first reference value of each row and the second reference value of each column in the preliminary analysis matrix, and locking the reference instance in combination with the feature vector;

[0201] The structure optimization module is used to determine the optimization scheme of the building structure according to the instance characteristics of each simulation instance and the uneven deployment of the reference instance to adjust the building structure, and control the transmission of the solar optical fiber based on the adjusted structure.

[0202] The beneficial effect of the above technical solution is: by conducting simulation experiments on different simulation examples for the preliminary deployment plan, and combining the intelligent acquisition of the staggered deployment to optimize the built structure, a reasonable match with the light source conversion area is achieved, effectively increasing the power generation.

[0203] The present invention provides an integrated power station for executing any of the above-mentioned solar optical fiber transmission control methods.

[0204] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A solar optical fiber transmission control method, characterized in that: include: Step 1: Obtain a preliminary deployment plan for the light source conversion area, and perform lighting simulation experiments on the construction structure of the preliminary deployment plan in turn according to the simulation instance set to obtain a simulation result set under different simulation instances; Step 2: Input each simulation result set into a blank list in turn, construct a preliminary analysis matrix of the built structure, and calculate the eigenvector of the preliminary analysis matrix; Step 3: Analyze the first reference value of each row and the second reference value of each column in the preliminary analysis matrix, and lock the reference instance in combination with the feature vector; Step 4: According to the instance characteristics of each simulation instance and the uneven deployment of the reference instance, an optimization scheme of the building structure is determined to adjust the building structure, and the solar optical fiber is controlled to transmit based on the adjusted structure.

2. The solar optical fiber transmission control method according to claim 1, characterized in that: According to the simulation example set, the lighting simulation experiment is carried out on the construction structure of the preliminary deployment scheme in turn, including: Extracting existing structural blocks in sequence from the preliminary deployment plan; Retrieving simulation components matching the structural blocks from the simulation platform in sequence, and constructing the simulation components according to the construction order of each structural block in the preliminary deployment plan; After all simulation components are built based on the simulation platform, simulation programs of different simulation instances are written into the simulation platform, and a lighting simulation experiment is performed; The simulation instance set includes several simulation instances under different lighting conditions.

3. The solar optical fiber transmission control method according to claim 1, characterized in that: Analyzing the first reference value of each row in the preliminary analysis matrix includes: Analyzing a first offset of each row in the preliminary analysis matrix, wherein each row in the preliminary analysis matrix is ​​a simulation result set corresponding to a simulation instance, and the simulation result set includes an illumination result of each structural block in the construction result; Count the number of first offset elements in each row that are not within the parameter standard result range set for the corresponding simulation instance; Based on the first offset degree and the number of first offset elements, a first reference value of the corresponding row is calculated.

4. The solar optical fiber transmission control method according to claim 3, characterized in that: Analyzing the second reference value of each column in the preliminary analysis matrix includes: Analyzing the second offset of each column in the preliminary analysis matrix, wherein each column in the analysis matrix corresponds to the illumination result for the same structural block under different simulation instances; Count the number of second offset elements in each column that are not within the parameter standard result range set for the corresponding simulation instance; Based on the second offset degree and the number of second offset elements, a second reference value of the corresponding column is calculated.

5. The solar optical fiber transmission control method according to claim 4, characterized in that: In combination with the feature vector locking reference example, it includes: Subtracting the eigenvector from each row vector in the preliminary analysis matrix to obtain a first difference vector of the corresponding row vector; Performing numerical normalization processing on the difference vectors, and calculating a first variance of each first difference vector; Subtract each element in the eigenvector from the corresponding column vector in the preliminary analysis matrix to obtain a second difference vector of the corresponding column vector; performing numerical normalization processing on the second difference vectors, and calculating a second variance of each second difference vector; According to the first variance corresponding to each row vector, the illumination characteristics of the simulation instance corresponding to each row vector, and all the second variances, a first coefficient is set for the corresponding simulation instance; Based on the first coefficient corresponding to each row vector, the first reference value, and all the involved second reference values, setting the second coefficient to the corresponding simulation instance; A third coefficient that is smaller than a preset coefficient is extracted from all the second coefficients, and a simulation instance that matches the third coefficient is locked as a reference instance.

6. The solar optical fiber transmission control method according to claim 1, characterized in that: According to the instance characteristics of each simulation instance and the uneven deployment of the reference instance, an optimization scheme of the building structure is determined, including: Obtaining instance characteristics of each simulation instance based on the instance-characteristic comparison table, wherein the instance characteristics are related to the daily occurrence probability of the corresponding light; Obtaining an ideal result of the constructed structure from a structure-result database, and comparing and analyzing a simulation result set of each reference instance with the ideal result to determine an abnormal block based on the corresponding reference instance; The occurrence probability of each abnormal block, the dependency relationship between the instance characteristics of the reference instance to which the abnormal block belongs and the instance characteristics of all reference instances, and the abnormal deviation information of each abnormal block are respectively counted to construct an adjustment function for the corresponding abnormal block; According to the deployment progressive relationship of each structural block in the building structure, all adjustment functions are processed to obtain an optimization solution for the building structure.

7. The solar optical fiber transmission control method according to claim 6, characterized in that: Processes all adjustment functions, including: All adjustment functions are sorted in order of deployment progression; Extracting the double block attributes of the two structural blocks corresponding to the adjacent adjustment functions based on the order-by-order results from the attribute comparison table; Inputting the dual block attributes and the corresponding adjacent adjustment functions into a structural optimization model to obtain adjustment parameters of adjacent structural blocks; When a structural block has a contiguous number, the corresponding adjustment parameter is retained; When there are two adjacent numbers of the structure block, the adjustment parameters under the two modes involved are processed and the corresponding processing parameters are retained; All retained parameters are refined to obtain the corresponding optimization solutions.

8. The solar optical fiber transmission control method according to claim 1, characterized in that: After determining the optimization scheme of the building structure according to the instance characteristics of all reference instances, the method further includes: Acquiring setting information of a light source positioning sensor based on the constructed structure; Actually obtain the reflection of sunlight projection fixtures in the light source conversion area at different illumination moments, and construct the reflection sequence under the corresponding illumination cycle; Determining a conventional effectiveness factor for a light source positioning sensor setup based on a number of reflection sequences; Based on the set light source positioning sensor, the light source information is captured at each lighting moment, and a light source capture scatter plot based on all light source positioning sensors at each lighting moment is constructed; The light source capture scatter diagram is sorted in sequence according to the illumination moment sequence to obtain the light source movement trajectory of each light source positioning sensor; Construct an analysis function based on the movement trajectories of all light sources; Obtaining a setting effective coefficient matching the analysis function from a function-adjustment comparison table; When the setting effective coefficient and the conventional effective coefficient meet the consistency standard, it is determined that the setting information of the light source positioning sensor does not need to be changed; otherwise, determining the change level from a difference-level comparison table according to the coefficient difference between the conventional effective coefficient and the set effective coefficient; The energy attenuation coefficient of each light source movement trajectory is analyzed, and the energy attenuation coefficients are sorted in order of magnitude, and the light source positioning sensors corresponding to the first N1 energy attenuation coefficients are screened according to the change level for position adjustment.

9. A solar optical fiber transmission control device, characterized in that: include: The lighting simulation experiment module is used to obtain a preliminary deployment plan of the light source conversion area, and to perform lighting simulation experiments on the construction structure of the preliminary deployment plan in turn according to the simulation instance set to obtain a simulation result set under different simulation instances; A matrix building module, used for inputting each simulation result set into a blank list in sequence, building a preliminary analysis matrix of the building structure, and calculating the eigenvector of the preliminary analysis matrix; An instance locking module, used for analyzing the first reference value of each row and the second reference value of each column in the preliminary analysis matrix, and locking the reference instance in combination with the feature vector; The structure optimization module is used to determine the optimization scheme of the building structure according to the instance characteristics of each simulation instance and the uneven deployment of the reference instance to adjust the building structure, and control the transmission of the solar optical fiber based on the adjusted structure.

10. An integrated power station, characterized in that: Used to execute the solar optical fiber transmission control method described in any one of claims 1-8.

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