Outdoor Electric Awning Equipment Testing Method and Device Based on Light-Shielding Holographic Simulation

Abstract

The present invention relates to the technical field of sunshade devices, in particular to a testing method and device for an outdoor electric sunshade awning device based on light-shielding holographic simulation. The surrounding light source environment data and operation data of the area where the outdoor electric sunshade awning device needs to be arranged are obtained through the sensor system on the outdoor electric sunshade awning device. A light-shielding holographic simulation model is constructed based on the surrounding light source environment data and operation data in a deep learning algorithm. The actual environment and light environment where the outdoor electric sunshade awning device is located are subjected to sunshade simulation testing through the light-shielding holographic simulation model, and the sunshade test results are output. The sunshade control performance of the outdoor electric sunshade awning device is further analyzed according to the sunshade test results. The present invention conducts virtual testing on the outdoor electric sunshade awning device by constructing a light-shielding holographic simulation model, thereby judging whether the sunshade control state and performance of the outdoor electric sunshade awning device are accurate, reducing human testing errors, and improving the sunshade intelligent control performance and efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of sunshade devices, and particularly to a test method and device for outdoor electric sunshade awning devices based on light-shielding holographic simulation. Background Art

[0002] With the development of modern protection design concepts, more and more facilities have begun to adopt outdoor electric sunshade awning devices, such as parking lots, car parking spaces, etc., to improve the comfort and safety effects of the facilities. Outdoor electric sunshade awnings can effectively block sunlight, reduce the temperature rise of objects, and to a certain extent prevent unnecessary damage to the core components of the facilities caused by ultraviolet rays. At the same time, the use of electric sunshade awnings can also enhance the aesthetic value of the building appearance, and there is a wide range of market demands. With the continuous innovation and marketization of electric sunshade awning products, the reliability of product performance and quality has become particularly important. How to test the various performances of outdoor electric sunshade awnings through scientific test methods, such as sunshade effects, sunshade performances, and the accuracy and stability of intelligent control systems, has become a technical problem that the industry urgently needs to solve at present.

[0003] Due to the large differences in test methods among different manufacturers and regions, there is still a lack of a unified test system for outdoor electric sunshade awning devices, resulting in greater difficulty in comparing device performances, being unable to accurately evaluate the advantages and disadvantages of sunshade awnings of different brands or models, and the existing test methods often focus on single quality evaluations, such as the electrical conductivity or heat resistance of the sunshade awning material quality, while ignoring the testing of important sunshade performance indicators, comprehensively reflecting the advantages and disadvantages of their comprehensive performances, and the existing test methods often execute through the form of manual actual testing. This kind of artificial intervention testing has large manual errors, resulting in extremely inaccurate final test results, low test efficiency, high test costs, and being time-consuming and laborious. Therefore, a test method for outdoor electric sunshade awning devices that can be accurate and efficient is needed to solve the above problems. Summary of the Invention

[0004] The present invention overcomes the deficiencies of the prior art and provides a test method and device for outdoor electric sunshade awning devices based on light-shielding holographic simulation.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] The first aspect of the present invention provides a test method for outdoor electric sunshade awning devices based on light-shielding holographic simulation, including the following steps:

[0007] S102: Obtain the target shading site requirements of the outdoor electric awning device and several perceived light source environment data. Based on the target shading site requirements, perform phase encoding of the two-dimensional sampling matrix mapping on the several light source environment data to obtain a light source environment hologram, and interpolate the light source environment hologram into the environmental simulation domain of the target shading site to generate a shading holographic simulation model;

[0008] S104: Perform holographic simulation on the outdoor electric awning device based on the shading holographic simulation model to obtain the shading control response strategy made during the device simulation process and construct an octree model of the incident light. Calculate the octree model through the shading control response strategy to obtain the dynamic illumination range of the reflected light. Analyze the established shading test area based on the dynamic illumination range to obtain a preliminary shading test result;

[0009] S106: Execute the negotiation coverage determination of the dynamic illumination range and the established shading test area according to the preliminary shading test result. If the dynamic illumination range completely covers the established shading test area, mark it as a type I test device, and compare and calculate the performance of the unqualified stroke control amount under the shading control response strategy compared to the reference stroke control amount required to eliminate the coverage of the dynamic illumination range to obtain the first shading performance test result;

[0010] S108: If the dynamic illumination range does not completely cover the established shading test area, mark it as a type II test device. At this time, obtain the negotiation model area of the negotiation model diagram, calculate the voxel volume value of the negotiation model area using a voxel grid, and analyze the shading response rate of the actual stroke position and the standard stroke position based on the voxel volume value to eliminate the unit shading response rate under the control regression to obtain the second shading performance test result.

[0011] More specifically, the step S102 specifically includes the following steps:

[0012] Obtain the target shading site requirements of the outdoor electric awning device, and preset the reference wave type and the waveform phase vector of the reference wave type according to the target shading site requirements;

[0013] Obtain several light source environment data sensed by the intelligent sensor of the outdoor electric awning device, construct a discretized two-dimensional sampling matrix of the target outdoor shading light field, and map each of the several light source environment data into the discretized two-dimensional sampling matrix one by one;

[0014] During the mapping process, introduce the Fresnel diffraction formula, and calculate the interference between the light wave propagation of each light source environment data mapped into the discretized two-dimensional sampling matrix and the reference wave type based on the waveform phase vector in the Fresnel diffraction formula to obtain the complex amplitude distribution of the light intensity. Construct a phase interference diagram of the light source environment where the outdoor electric awning device is located according to the complex amplitude distribution of the light intensity.

[0015] Extract the phase information of the light source environment where the outdoor electric awning device is located based on the phase interference pattern, and encode and quantify the phase information at multiple discrete levels through holographic simulation software to obtain a holographic image of the light source environment with phase-encoded quantization.

[0016] Obtain the preset sensing range of the intelligent sensor, construct an environmental simulation domain for the target sunshade site based on the preset sensing range, and construct an interpolation function based on the light source environment data.

[0017] Register and map the holographic image of the light source environment to the environmental simulation domain, obtain the light source environment data corresponding to each interpolation function in the environmental simulation domain in the holographic image of the light source environment, which is defined as the holographic light source environment data, and establish a radial basis equation set according to the holographic light source environment data.

[0018] Solve the radial basis equation set to obtain a radial basis coefficient vector, and interpolate each light source environment data of the holographic image of the light source environment into the environmental simulation domain through the radial basis coefficient vector, and finally generate a shading holographic simulation model.

[0019] More specifically, the step S104 specifically includes the following steps:

[0020] Analyze and calculate the original design drawing of the outdoor electric awning device through holographic simulation software to construct a holographic model of the outdoor electric awning device.

[0021] Embed the holographic model of the outdoor electric awning device into the shading holographic simulation model for holographic simulation and shading, and at this time, extract the shading control response strategy of the outdoor electric awning device to the change of the light source environment in the shading holographic simulation model.

[0022] Obtain the dynamic opening and closing amplitude of the awning at a preset time sequence according to the shading control response strategy, and obtain the preset folding edge angle of the double-fold rainproof structure of the awning. During the holographic simulation process, divide the target shading scene into eight sub-boundary box regions, and construct an octree model of the light source incidence based on the eight sub-boundary box regions.

[0023] Starting from the incident starting point of the light ray, recursively check whether the boundary box of each tree node on the octree model intersects with the light ray. If it does not intersect, skip the tree node; if it intersects, continue to check the branch nodes of the tree node; until all the tree nodes on the octree model are traversed, obtain the light ray direction and the light ray normal vector when the incident light ray irradiates on the awning.

[0024] Calculate the reflection direction between the light direction and the light normal vector based on the dynamic opening and closing amplitude and the preset hemming angle to obtain the reflection direction of the incident light. Dynamically and recursively track the reflected light after the incident light irradiates the sunshade awning according to the reflection direction, and generate the dynamic irradiation range of the reflected light of the sunshade awning under the influence of the light-shielding control response strategy condition;

[0025] Identify and obtain the key exposure vulnerable points of the target sunshade object, the vulnerable range and the critical threshold of the corresponding exposure damage. Based on the vulnerable range, constrain and plan the regional space constraint graph of each point in the fixed sunshade area until the critical threshold is met, and obtain the established light-shielding test area of the target sunshade object located in the outdoor electric sunshade awning device;

[0026] If there is no interaction between the dynamic irradiation range and the established light-shielding test area at the preset time sequence, then calibrate the outdoor electric sunshade awning device as a qualified test device; if there is no interaction between the dynamic irradiation range and the established light-shielding test area at the preset time sequence, then calibrate the outdoor electric sunshade awning device as an unqualified test device to obtain the preliminary light-shielding test result.

[0027] More specifically, the step of identifying and obtaining the key exposure vulnerable points of the target sunshade object, the vulnerable range and the critical threshold of the corresponding exposure damage, and constraining and planning the regional space constraint graph of each point in the fixed sunshade area based on the vulnerable range until the critical threshold is met to obtain the established light-shielding test area of the target sunshade object located in the outdoor electric sunshade awning device specifically includes the following steps:

[0028] Obtain the target sunshade object fully considered during the design of the outdoor electric sunshade awning device, and obtain the exposure usage safety information of the target sunshade object. Based on the exposure usage safety information, retrieve and identify one or more vulnerable positions of the target sunshade object in the big data network, which are defined as key exposure vulnerable points;

[0029] Obtain the vulnerable range of exposure damage caused by the surrounding environmental light source irradiating each key exposure vulnerable point and the critical threshold required to reach exposure damage. At the same time, obtain the original design drawings of the outdoor electric sunshade awning device and the spatial coordinate points of the target sunshade object located in the outdoor electric sunshade awning device;

[0030] Construct the regional coordinate space of the fixed sunshade area in the outdoor electric sunshade awning device through the design parameters in the original design drawings. Based on the vulnerable range, define the planning variables of the regional coordinate space and the value range of each planning variable on the spatial coordinate points, and define the constraint conditions between adjacent planning variables based on the critical threshold;

[0031] Taking the planning variables as nodes and the boundaries as the constraint relationships between adjacent planning variables to set the planning premise, and based on the planning premise, assigning values to each planning variable one by one in the value domain until a coordinate solution that satisfies the planning constraint conditions is found through recursive attempts, generating a regional space constraint graph for each critical exposure vulnerable point;

[0032] Based on the spatial coordinate points, positioning and fitting the regional space constraint graph of each critical exposure vulnerable point to the regional coordinate space of the fixed sunshade area one by one, obtaining the established light-shielding test area where the target sunshade object is located inside the outdoor electric awning device.

[0033] More specifically, the step S106 specifically includes the following steps:

[0034] If the preliminary light-shielding test result shows an unqualified test device, then extract the hologram where the dynamic irradiation range intersects with the established light-shielding test area during the holographic simulation process, and define it as the negotiation model graph;

[0035] Judge whether the dynamic irradiation range in the negotiation model graph completely covers the established light-shielding test area. If it completely covers, mark the outdoor electric awning device corresponding to this unqualified test device as a type-I test device;

[0036] For the type-I test device, preset the exposure safety range of the established light-shielding test area based on the exposure use safety information of the target sunshade object, and demarcate and mark the exposure safety range within the fixed sunshade area of the outdoor electric awning device;

[0037] By moving the dynamic irradiation range out of the completely covered position shown in the negotiation model graph in the regional coordinate space of the fixed sunshade area until it is outside the exposure safety range, at this time, obtain the incident angle deviation rate and the light reflection wavelength deviation value between the starting position where the dynamic irradiation range is moved out from the original position in the negotiation model graph until it is eliminated;

[0038] Introduce the total reflection displacement formula, and calculate and solve the incident angle deviation and the light reflection wavelength deviation value through the total reflection displacement formula to obtain the reflected light displacement amount, which is defined as the necessary reflected light displacement amount;

[0039] Calculate the necessary reflected light displacement amount through the stroke control principle of the outdoor electric awning device, obtain several reference stroke control amounts, extract the unqualified stroke control amount when the dynamic irradiation range completely covers the established light-shielding test area, and introduce the Cardinal curve method to perform performance curvature analysis on the several reference stroke control amounts and the unqualified stroke control amount of the type-I test device to obtain the first sunshade performance test result.

[0040] More specifically, the necessary reflected light displacement amount is calculated according to the stroke control principle of the outdoor electric awning device to obtain a number of reference stroke control amounts, and the unqualified stroke control amounts when the dynamic irradiation range completely covers the established shading test area are extracted. The Cardinal curve method is introduced to perform performance curvature analysis on a number of reference stroke control amounts and unqualified stroke control amounts of a type of test device, and the first sunshade performance test result is obtained, which specifically includes the following steps:

[0041] Obtain the stroke control principle of the outdoor electric awning device, and determine the reference awning control stroke that causes the dynamic irradiation range to move out until the phenomenon of completely covering the established shading test area is eliminated based on the necessary reflected light displacement amount. Based on the stroke control principle, calculate a number of stroke control amounts required for the outdoor electric awning device to execute the reference awning control stroke, and mark them as reference stroke control amounts;

[0042] Extract a number of stroke control amounts when the dynamic irradiation range in the negotiation model diagram completely covers the established shading test area through the shading control response strategy, and mark them as unqualified stroke control amounts. Introduce the Cardinal curve method, set stroke control points based on the preset time sequence, and perform fitting on a number of reference stroke control amounts and a number of unqualified stroke control amounts one by one in the Cardinal curve method based on the stroke control points;

[0043] After the fitting is completed, obtain the Cardinal curve of the unqualified stroke control amount, which is calibrated as the first Cardinal curve; and obtain the Cardinal curve of the reference stroke control amount, which is calibrated as the second Cardinal curve;

[0044] If the curvature of the first Cardinal curve is less than the curvature of the second Cardinal curve, then calibrate this type of test device as a small error test device; if the curvature of the first Cardinal curve is greater than the curvature of the second Cardinal curve, then calibrate it as a large error test device, and obtain the first sunshade performance test result.

[0045] More specifically, the step S108 specifically includes the following steps:

[0046] If the dynamic irradiation range in the negotiation model diagram does not completely cover the established shading test area, then mark the outdoor electric awning device corresponding to this unqualified test device as a type II test device;

[0047] For the type II test device, strip out the negotiation model area where the dynamic irradiation range and the established shading test area interact in the negotiation model diagram, and preset the voxel grid resolution based on the regional space constraint diagram of each key exposure vulnerable point;

[0048] Construct a voxel segmentation domain based on the voxel grid resolution, map the negotiation model area to the voxel segmentation domain and count the number of cube voxels occupied to obtain the number of occupied cube voxels, and multiply the number of occupied cube voxels by the voxel volume of each occupied cube voxel to obtain the voxel volume value of the negotiation model area;

[0049] Obtain the preset stroke control parameters output by the shading control response strategy, construct a linear regression model, perform regression calculation on the elimination control of the preset stroke control parameters and the voxel volume value through the linear regression model to obtain the control regression coefficient, and determine the unit shading response rate required for the shading control response strategy to eliminate the negotiation model area according to the control regression coefficient;

[0050] Excerpt the termination timing node in the preset time sequence, obtain the actual stroke position when the outdoor electric awning device executes the shading control response strategy and reaches the termination timing node, and obtain the standard stroke position that the outdoor electric awning device should reach when executing the shading control response strategy to the termination timing node;

[0051] Calculate the response rate between the actual stroke position and the standard stroke position to obtain the actual shading response rate. If the actual shading response rate is greater than the unit shading response rate, calibrate the second-class test device as a small-error test device; if the actual shading response rate is less than the unit shading response rate, calibrate it as a large-error test device to obtain the second shading performance test result.

[0052] The second aspect of the present invention provides a test device for an outdoor electric awning device based on shading holographic simulation. The test device for the outdoor electric awning device includes a memory and a processor. The memory stores a test method program for the outdoor electric awning device based on shading holographic simulation. When the test method program for the outdoor electric awning device is executed by the processor, the steps of any of the test methods for the outdoor electric awning device are implemented.

[0053] The present invention solves the technical defects in the background art. The beneficial technical effects of the present invention are as follows:

[0054] Phase encoding for two-dimensional sampling matrix mapping of a number of light source environment data based on the target sunshade site requirements, interpolating the light source environment hologram into the environmental simulation field of the target sunshade site to generate a light-shielding holographic simulation model; performing holographic simulation on the outdoor electric sunshade awning device based on the light-shielding holographic simulation model and calculating the octree model of the light-shielding control response strategy to obtain the dynamic irradiation range of the reflected light, analyzing the established light-shielding test area based on the dynamic irradiation range to obtain the sunshade test result; if the dynamic irradiation range completely covers the established light-shielding test area, it is marked as a type I test device, and the performance of the unqualified stroke control amount under the light-shielding control response strategy compared to the reference stroke control amount required to eliminate the coverage of the established light-shielding test area by the dynamic irradiation range is calculated to obtain the first sunshade performance test result; if the dynamic irradiation range does not completely cover the established light-shielding test area, it is marked as a type II test device, the voxel volume value of the negotiation model area is calculated using a voxel grid, and the sunshade response rate of the actual stroke site and the standard stroke site is analyzed based on the voxel volume value to eliminate the unit sunshade response rate under control regression to obtain the second sunshade performance test result. The present invention performs virtual testing on the outdoor electric sunshade awning device by constructing a sunshade holographic simulation model, thereby judging whether the sunshade control state and performance of the outdoor electric sunshade awning device are accurate, providing an optimized decision-making basis for the accurate sunshade control of the device, reducing human testing errors, and improving the intelligent control performance and efficiency of sunshade. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0056] Figure 1 FIG. shows the first method flow chart of the test method for outdoor electric sunshade awning devices based on light-shielding holographic simulation;

[0057] Figure 2 FIG. shows the second method flow chart of the test method for outdoor electric sunshade awning devices based on light-shielding holographic simulation;

[0058] Figure 3 FIG. shows the device structure diagram of the test device for outdoor electric sunshade awning devices based on light-shielding holographic simulation. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] To more clearly understand the above-mentioned objects, features, and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0060] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0061] The first aspect of the present invention provides a test method for an outdoor electric awning device based on light-shielding holographic simulation, as Figure 1 shown, including the following steps:

[0062] S102: Obtain the target shading site requirements of the outdoor electric awning device and several perceived light source environment data, perform phase encoding of two-dimensional sampling matrix mapping on the several light source environment data based on the target shading site requirements to obtain a light source environment hologram, and interpolate the light source environment hologram into the environmental simulation field of the target shading site to generate a light-shielding holographic simulation model;

[0063] S104: Perform holographic simulation on the outdoor electric awning device based on the light-shielding holographic simulation model to obtain the shading control response strategy made during the device simulation process and construct an octree model of the incident light. Calculate the octree model through the shading control response strategy to obtain the dynamic irradiation range of the reflected light, and analyze the established shading test area based on the dynamic irradiation range to obtain a preliminary shading test result;

[0064] S106: According to the preliminary shading test result, perform an intersection coverage determination of the dynamic irradiation range and the established shading test area. If the dynamic irradiation range completely covers the established shading test area, mark it as a type I test device, and compare and calculate the performance of the unqualified stroke control amount under the shading control response strategy compared to the reference stroke control amount required to eliminate the coverage of the dynamic irradiation range to obtain the first shading performance test result;

[0065] S108: If the dynamic irradiation range does not completely cover the established shading test area, mark it as a type II test device. At this time, obtain the intersection model area of the intersection model diagram, calculate the voxel volume value of the intersection model area using a voxel grid, and analyze the shading response rate of the actual stroke position and the standard stroke position based on the voxel volume value to eliminate the unit shading response rate under control regression to obtain the second shading performance test result.

[0066] More specifically, the step S102 specifically includes the following steps:

[0067] Obtain the target shading site requirements of the outdoor electric awning device, and preset the reference wave type and the waveform phase vector of the reference wave type according to the target shading site requirements;

[0068] Obtain a number of light source environment data sensed by the intelligent sensor of the outdoor electric awning device, construct a discretized two-dimensional sampling matrix of the target outdoor shading light field, and map each of the number of light source environment data to the discretized two-dimensional sampling matrix one by one;

[0069] During the mapping process, introduce the Fresnel diffraction formula, and calculate the interference between the light wave propagation of each light source environment data mapped into the discretized two-dimensional sampling matrix and the reference wave type based on the waveform phase vector in the Fresnel diffraction formula to obtain the complex amplitude distribution of the light intensity. Construct a phase interference diagram of the light source environment where the outdoor electric awning device is located according to the complex amplitude distribution of the light intensity;

[0070] Extract the phase information of the light source environment where the outdoor electric awning device is located based on the phase interference diagram, and encode and quantify the phase information at multiple discrete levels through holographic simulation software to obtain a holographic diagram of the light source environment with phase-encoded quantization;

[0071] Obtain the preset sensing range of the intelligent sensor, construct an environmental simulation domain of the target shading site based on the preset sensing range, and construct an interpolation function based on the light source environment data;

[0072] Register and map the holographic diagram of the light source environment to the environmental simulation domain, obtain the light source environment data corresponding to each interpolation function in the environmental simulation domain in the holographic diagram of the light source environment, which is defined as holographic light source environment data, and establish a radial basis equation set according to the holographic light source environment data;

[0073] Solve the radial basis equation set to obtain a radial basis coefficient vector, and interpolate each light source environment data of the holographic diagram of the light source environment into the environmental simulation domain through the radial basis coefficient vector to finally generate a shading holographic simulation model.

[0074] It should be noted that due to the variability of the space and angle of light, it is often difficult to ensure the test accuracy when testing the shading effect of awnings in the actual light environment. Moreover, manual assistance is required for observation, which is prone to human testing errors, reducing the reliability of the test results for awning shading. The holographic simulation technology can accurately simulate the performance of awnings under different lighting conditions without the need for an actual physical awning. Through holograms, different weather conditions, the change of sunlight angle at different time periods, and the influence of different environmental factors on the performance of awnings can be simulated. The propagation and irradiation of light can be reconstructed in real time, and then the shading effect of the awning can be evaluated, greatly saving the resources and time required for testing. And without excessive manual intervention operations, it avoids the phenomenon of large human testing errors. Therefore, a shading holographic simulation model can be constructed to test the performance of awnings. In this regard, in this method, a reference wave is first set according to the requirements of the target shading site where the outdoor electric awning equipment is to be applied. The reference wave is used to generate a light wave that interferes with the object wavefront, and the type of its selection directly affects the quality and reconstruction effect of the final hologram. Then, the perceived light source environment data is mapped one by one into the discretized two-dimensional sampling matrix of the target outdoor shading light field, so that the light source environment is discretely decomposed into pixel point data that can be stored and calculated, ensuring sufficient resolution and avoiding the loss or confusion of the holographic display of the light source environment information. Next, when mapping, the interference and diffraction phenomena of light waves during propagation are calculated using the Fresnel diffraction formula, and the complex amplitude distribution of the light intensity can be obtained. By phase-encoding and quantifying the phase interference information between the light environment light wave and the reference wave under this complex amplitude distribution, a series of holograms expressing the light source environment data can be generated. Finally, these series of holograms are radially basis interpolated into the environmental simulation area of the target shading site to obtain a holographic simulation model. Among them, the radially basis interpolation function has good smoothness, which can ensure the smoothness and smoothness of the hologram simulation display and improve the accuracy of the holographic simulation.

[0075] It should be noted that through this method, the light source environment data perceived by the outdoor electric awning equipment can be mapped into a hologram mode, and then interpolated and converted into a shading holographic simulation model with accurate light source environment behavior, providing a reliable shading test tool for the outdoor electric awning equipment, replacing the cumbersome steps of traditional manual on-site testing, reducing the test result error, and improving the test efficiency.

[0076] More specifically, the step S104 specifically includes the following steps:

[0077] Analyze and calculate the original design drawings of the outdoor electric awning equipment through holographic simulation software to construct a holographic model of the outdoor electric awning equipment;

[0078] Embed the holographic model of the outdoor electric awning device into the shading holographic simulation model for holographic simulation and shading, and at this time, extract the shading control response strategy of the outdoor electric awning device to the change of the light source environment in the shading holographic simulation model;

[0079] Obtain the dynamic opening and closing amplitude of the awning at a preset time sequence according to the shading control response strategy, and obtain the preset folding edge angle of the double-fold rainproof structure of the awning. During the holographic simulation process, divide the target shading scene into eight sub-boundary box regions, and construct an octree model of light source incidence based on the eight sub-boundary box regions;

[0080] Starting from the incident starting point of the light, recursively check whether the boundary box of each tree node on the octree model intersects with the light. If not, skip the tree node; if so, continue to check the branch nodes of the tree node; until all tree nodes on the octree model are traversed, obtain the light direction and the light normal vector when the incident light shines on the awning;

[0081] Calculate the reflection direction between the light direction and the light normal vector based on the dynamic opening and closing amplitude and the preset folding edge angle to obtain the reflection direction of the incident light. Dynamically and recursively track the reflected light after the incident light shines on the awning according to the reflection direction, and generate the dynamic irradiation range of the reflected light of the awning under the influence of the shading control response strategy;

[0082] Identify and obtain the key exposure vulnerable points, the vulnerable range and the critical threshold of the corresponding exposure damage of the target shading object, and based on the vulnerable range, constrain and plan the regional space constraint graph of each point in the fixed shading area until the critical threshold is met, and obtain the established shading test area of the target shading object located in the outdoor electric awning device;

[0083] If there is no intersection between the dynamic irradiation range and the established shading test area at the preset time sequence, then calibrate the outdoor electric awning device as a qualified test device; if there is no intersection between the dynamic irradiation range and the established shading test area at the preset time sequence, then calibrate the outdoor electric awning device as an unqualified test device to obtain the shading test result.

[0084] It should be noted that after constructing the light-shielding holographic simulation model, it can be used to perform holographic light-shielding simulation on the outdoor electric awning. However, since the construction basis of the light-shielding holographic simulation model is the light source environment data of the shading site sensed by the intelligent sensing system of the outdoor electric awning device in terms of time sequence, and its light source environment is constantly changing, the shading control of the awning on its light source environment is also a dynamic process. One of the main shading functions of the awning is to block the reflection of the light source and prevent it from falling on the object to be shaded. Therefore, the performance of the awning can be judged by whether the dynamic light reflection of the holographic simulation will irradiate the exposed position of the shading object. In response to this, this method performs holographic simulation on the outdoor electric awning device through the light-shielding holographic simulation model to obtain some control strategies for the awning to respond to changes in the light environment, that is, the light-shielding control response strategy. This strategy is the accurate basis for the light-shielding response control of the awning and the basis for analyzing the light-shielding effect of the awning. Then, an octree model for the incident light source is constructed with eight sub-boundary box regions to track the incident situation of the light source rays. The core goal of the octree model is to calculate the intersection points of the rays and the scene. Just finding the nearest intersection point of the rays and the scene can describe the incident direction and normal vector of the light source, so that the direction and normal vector of the light source irradiating on the awning can be obtained through the physical scene of the rays, providing theoretical calculation data for subsequent reflection calculations, avoiding unnecessary calculation steps and memory overhead, and improving the rendering authenticity and incident accuracy of the holographic simulation.

[0085] It should be noted that by obtaining the dynamic opening and closing amplitude and the preset hem angle of the awning at the preset time sequence from the light-shielding control response strategy, the reflection direction between the light direction generated by the incident light and the normal vector can be further calculated. This reflection direction is an important prerequisite for dynamic reflected light tracking and also the judgment basis for reflecting the accuracy of dynamic reflected light. The dynamic recursive tracking is used to capture the reflected light after the incident light irradiates the awning. This tracking process changes in real time with the light source environment data of the light-shielding holographic simulation model, ensuring the accuracy of the light reflection change simulation. Finally, the dynamic irradiation range of the reflected light of the awning under the influence of the light-shielding control response strategy can be generated. In addition to this dynamic refraction range, an irradiated object is also required to analyze the shading performance of the awning. Therefore, this method identifies and obtains the key exposure vulnerable points, the vulnerable range and the critical threshold of the corresponding exposure damage of the target shading object to further constrain and plan the target shading object in the established light-shielding test area of the outdoor electric awning device. This established shading area is the area that cannot be affected by light reflection exposure and is one of the fundamental bases for judging the shading performance of the awning in the future. Among them, if there is no intersection between the dynamic irradiation range and the established light-shielding test area at the preset time sequence, it means that there is no reflection phenomenon after the light source is intelligently blocked by the awning, most of the light is blocked, and the shading object will not be irradiated, indicating excellent shading performance. If there is no intersection between the dynamic irradiation range and the established light-shielding test area at the preset time sequence, it means that the awning cannot effectively block the light irradiation after intelligent blocking control, resulting in the light being reflected through the shading surface to the shading object, indicating poor shading performance. Through this method, the qualification of the shading performance of the outdoor electric awning device can be initially tested and judged, providing a reliable reference basis for improving the performance of the shading product in the future, and effectively improving the shading quality and control accuracy of the shading product.

[0086] More specifically, for the key exposure vulnerable points, the vulnerable range and the critical threshold of the corresponding exposure damage of the identified target shading object, a regional space constraint graph of each point is constrained and planned in the fixed shading area based on the vulnerable range until the critical threshold is met, and the established light-shielding test area of the target shading object located in the outdoor electric awning device is obtained, as Figure 2 shown, and specifically includes the following steps:

[0087] S202: Obtain the target shading object fully considered during the design of the outdoor electric awning device, and obtain the exposure usage safety information of the target shading object. Based on the exposure usage safety information, one or more vulnerable positions of the target shading object are retrieved and identified in the big data network, which are defined as the key exposure vulnerable points;

[0088] S204: Obtain the vulnerable range of exposure damage caused by the ambient light source irradiating each key exposure vulnerable point and the critical threshold required to reach exposure damage. At the same time, obtain the original design drawings of the outdoor electric awning device and the spatial coordinate points of the target shading object located on the outdoor electric awning device;

[0089] S206: Construct the regional coordinate space of the fixed shading area in the outdoor electric awning device through the design parameters in the original design drawings. Define the planning variables of the regional coordinate space and the value range of each planning variable based on all the spatial coordinates included in the vulnerable range at the spatial coordinate points. Define the constraint conditions between adjacent planning variables based on the critical threshold;

[0090] S208: Set the planning premise with the planning variables as nodes and the boundaries as the constraint relationships between adjacent planning variables. Based on the planning premise, assign values to each planning variable one by one in the value range until a coordinate solution that satisfies the planning constraint conditions is found by recursive attempt, and generate the regional space constraint graph of each key exposure vulnerable point;

[0091] S210: Based on the spatial coordinate points, position and fit the regional space constraint graph of each key exposure vulnerable point to the regional coordinate space of the fixed shading area one by one to obtain the established shading test area of the target shading object located inside the outdoor electric awning device.

[0092] It should be noted that the sunshade can be used for sunshading different objects, such as outdoor cars, electric vehicles parked in the sun, charging piles for sunshading, etc. Some of these sunshading objects may be items that are dangerous to use when exposed to strong light and high temperature. For example, the above-mentioned electric vehicle is equipped with a rechargeable lithium battery inside. If the rechargeable lithium battery is not blocked by an object or the blocking effect is poor, it is very likely to explode after long-term outdoor high-temperature exposure. Therefore, the safety characteristics of these objects during exposure can be used to plan a dangerous use area. By analyzing the state of irradiating this area within the dynamic irradiation range, the performance of the sunshade device can be further determined. This method identifies one or more possible key exposure vulnerable points through the exposure use safety information of the target sunshading object. These key exposure vulnerable points are sensitive to strong light such as sunlight and are easily damaged; since there is a range and a critical value for each of these key exposure vulnerable points that cause damage to the sunshading object after exposure, namely the vulnerable range and the critical threshold for exposure damage. For example, the installation distribution area and size of the internal rechargeable lithium battery of an electric vehicle are fixed, and the position range and size of the rechargeable lithium battery itself are areas that cannot be directly irradiated by light, so it is the vulnerable range; for the rechargeable lithium battery, a certain temperature condition may be required to cause it to explode, and it will explode if the threshold limit is exceeded, so this threshold limit is a critical threshold. Then, based on the vulnerable range, the vulnerable coordinates can be planned in the regional coordinate space of the fixed sunshading area, that is, all the spatial coordinates included in the spatial coordinate points define the planning variables of the regional coordinate space and the value range of each planning variable. This method searches for the values of the planning variables by representing variables with nodes and the constraint relationships between variables with boundaries, until a coordinate solution that satisfies the planning constraint conditions corresponding to the critical threshold is found through recursive attempts and the regional space constraint graph is output, so as to make the spatial danger range constraint of each key exposure vulnerable point more accurate under the premise of exposure use safety, and improve the accuracy and reliability of the holographic light-shielding test of the sunshade.

[0093] It should be noted that the regional space constraint graph is the range of exposure use between safety and danger for each key exposure vulnerable point. Finally, these regional space constraint graphs can be accurately positioned and fitted one by one to the regional coordinate space where the target sunshading object is located in the fixed sunshading area. Through this method, a dedicated sunshade exposure test area between safety and danger can be constructed according to the exposure use safety standards of different sunshading objects. By analyzing whether the light is reflected after being blocked and the test area, the performance test results of the sunshade can be obtained, ensuring the accuracy and reliability of the sunshade test for different sunshading objects.

[0094] More specifically, the step S106 specifically includes the following steps:

[0095] If the shading test result shows that the test equipment is unqualified, then the hologram in which the dynamic irradiation range extracted during the holographic simulation has an intersection with the established shading test area is defined as the intersection model diagram;

[0096] Judge whether the dynamic irradiation range in the intersection model diagram completely covers the established shading test area. If it completely covers, mark the outdoor electric awning equipment corresponding to the unqualified test equipment as a first-class test equipment;

[0097] For the first-class test equipment, preset the exposure safety range of the established shading test area based on the exposure use safety information of the target shading object, and demarcate and mark the exposure safety range within the fixed shading area of the outdoor electric awning equipment;

[0098] By moving the dynamic irradiation range out of the completely covered position shown in the intersection model diagram in the regional coordinate space of the fixed shading area until it is outside the exposure safety range, at this time, obtain the incident angle deviation rate and the light reflection wavelength deviation value between the starting position where the dynamic irradiation range is moved out of the original position in the intersection model diagram until it is eliminated;

[0099] Introduce the total reflection displacement formula, and calculate and solve the incident angle deviation and the light reflection wavelength deviation value through the total reflection displacement formula to obtain the reflected light displacement amount, which is defined as the necessary reflected light displacement amount;

[0100] Calculate the necessary reflected light displacement amount through the stroke control principle of the outdoor electric awning equipment, obtain a number of reference stroke control amounts, extract the unqualified stroke control amount when the dynamic irradiation range completely covers the established shading test area, and introduce the Cardinal curve method to perform performance curvature analysis on a number of reference stroke control amounts and unqualified stroke control amounts of the first-class test equipment to obtain the first shading performance test result.

[0101] It should be noted that if the shading test result shows that the test equipment is unqualified, it indicates that the light shading performance of the awning equipment is not ideal at this time. It is necessary to further analyze the quality of the shading performance, that is, by analyzing whether the dynamic irradiation range reflected in the holographic negotiation model diagram completely covers the established shading test area. If there is a complete coverage phenomenon, it indicates that there is a phenomenon of travel control error of the awning after intelligent control, and the amplitude of this control error is the basis for judging the quality of the shading performance of the equipment. Therefore, it is necessary to further analyze the performance of the travel control error of the awning after intelligent control to evaluate the quality of the awning performance. Therefore, for this type of test equipment, by setting a range that will not cause danger to the target shading object during use, that is, the exposure safety range, and moving the dynamic irradiation range from the current completely covered position outside the exposure safety range in the regional coordinate space of the fixed shading area, the purpose is to simulate the exposure irradiation phenomenon that the awning travel control error correction will not cause light reflection to the target shading object. Although the reflected light is displaced during the process of moving the dynamic irradiation range outside the exposure safety range, in fact, the amount that the awning travel control should be corrected is reflected laterally through the displaced reflected light. Therefore, by obtaining the incident angle deviation rate and the light reflection wavelength deviation value after displacement, the displacement amount of the reflected light, that is, the necessary reflected light displacement amount, is calculated. Then, based on the necessary reflected light displacement amount, the reference travel control amount after the awning correction is further determined. By performing performance analysis with the actually generated unqualified travel control amount, the quality of the awning performance can be known. Through this method, the performance error between the standard travel control and the unqualified travel control of the awning can be calculated retrospectively by simulating the displacement to correct the reflected light so as not to irradiate the test area, and then the shading performance of the awning can be reflected, realizing the test analysis effect of the awning with travel control error and improving the pertinence and accuracy of intelligent shading control optimization.

[0102] More specifically, the necessary reflected light displacement amount is calculated according to the travel control principle of the outdoor electric awning equipment, a number of reference travel control amounts are obtained, the unqualified travel control amount when the dynamic irradiation range completely covers the established shading test area is extracted, and the Cardinal curve method is introduced to perform performance curvature analysis on a number of reference travel control amounts and unqualified travel control amounts of a type of test equipment to obtain the first shading performance test result, which specifically includes the following steps:

[0103] Obtain the travel control principle of the outdoor electric awning equipment, determine the reference awning control travel that makes the dynamic irradiation range move out until the phenomenon of completely covering the established shading test area is eliminated according to the necessary reflected light displacement amount, calculate a number of travel control amounts required for the outdoor electric awning equipment to execute the reference awning control travel based on the travel control principle, and mark them as reference travel control amounts;

[0104] Extract several stroke control quantities when the dynamic irradiation range in the negotiation model diagram completely covers the established shading test area through the shading control response strategy, mark them as unqualified stroke control quantities, introduce the Cardinal curve method, set stroke control points based on the preset time sequence, and fit each of the several reference stroke control quantities and several unqualified stroke control quantities in the Cardinal curve method based on the stroke control points;

[0105] After the fitting is completed, obtain the Cardinal curve of the unqualified stroke control quantity, calibrated as the first Cardinal curve; and obtain the Cardinal curve of the reference stroke control quantity, calibrated as the second Cardinal curve;

[0106] If the curvature of the first Cardinal curve is less than the curvature of the second Cardinal curve, calibrate this type of test equipment as a small-error test equipment; if the curvature of the first Cardinal curve is greater than the curvature of the second Cardinal curve, calibrate it as a large-error test equipment, and obtain the first shading performance test result.

[0107] It should be noted that for the performance analysis of a type of test equipment, if direct comparison using traditional test methods or comparison through intermediate function calculations is adopted, this may lead to relatively large errors in the linear and time continuity comparison of several stroke control quantities for sunshade stroke control, and there are many calculation steps, which is not conducive to accurately positioning the quality of the sunshade's shading performance. Therefore, this method provides a performance curvature comparison method based on the Cardinal curve method. Since the stroke control of the sunshade is based on the mechanical control principle of the sunshade itself, therefore,

[0108] It is necessary to calculate several reference stroke control quantities required for the outdoor electric awning device to execute the reference awning control stroke derived from the necessary reflected light displacement based on the stroke control principle, and improve the linear correlation between the analysis of the stroke control quantity and the device itself; then use the Cardinal curve method to fit and draw these reference stroke control quantities and several unreasonable formation control quantities corresponding to the output when the awning executes the light-shielding control response strategy in the holographic simulation test, so that the dynamic irradiation range completely covers the established light-shielding test area, thus forming two Cardinal curves; among them, the Chinese name of the Cardinal curve is the cardinal curve or the Cardan curve, which is a curve used for smooth interpolation and can create a performance curve with accurate curvature through a small number of data control points, so as to accurately display the error refinement expression effect of the awning stroke control and improve the accuracy of performance test determination. Among them, if the curvature of the first Cardinal curve is less than the curvature of the second Cardinal curve, it means that the actual stroke control of the awning device has a small error range compared with the reference stroke control, even small enough to be ignored, so this type of test device is calibrated as a small-error test device; if the curvature of the first Cardinal curve is greater than the curvature of the second Cardinal curve, it means that its actual stroke control has an error range exceeding the preset error range compared with the reference stroke control, and the control precision error is large, so it is calibrated as a large-error test device. Through this method, it is possible to perform error-refined stroke control performance analysis for each awning belonging to a type of test device, so as to provide an optimized measurement trade-off for the control of this type of awning device in the future, and ensure the maximum elimination of unreasonable phenomena in the intelligent control of the awning.

[0109] More specifically, the step S108 specifically includes the following steps:

[0110] If the dynamic irradiation range in the negotiation model diagram does not completely cover the established light-shielding test area, mark the outdoor electric awning device corresponding to this unqualified test device as a type II test device;

[0111] For the type II test device, strip out the negotiation model area where the dynamic irradiation range and the established light-shielding test area negotiate in the negotiation model diagram, and preset the voxel grid resolution based on the regional space constraint diagram of each key exposure vulnerable point;

[0112] Based on the voxel grid resolution, construct a voxel segmentation domain, map the negotiation model area to the voxel segmentation domain and count the number of cubic voxels occupied to obtain the occupied cubic voxel quantity, and multiply the occupied cubic voxel quantity by the voxel volume of each occupied cubic voxel to obtain the voxel volume value of the negotiation model area;

[0113] Obtain the preset stroke control parameters output by the shading control response strategy, construct a linear regression model, perform regression calculations on the elimination control of the preset stroke control parameters and the voxel volume value through the linear regression model to obtain the control regression coefficient, and determine the unit shading response rate required for the shading control response strategy to eliminate the negotiation model area according to the control regression coefficient;

[0114] Extract the termination time sequence node in the preset time sequence, obtain the actual stroke position when the outdoor electric awning device executes the shading control response strategy and reaches the termination time sequence node, and obtain the standard stroke position that the outdoor electric awning device should reach when executing the shading control response strategy to the termination time sequence node;

[0115] Calculate the response rate between the actual stroke position and the standard stroke position to obtain the actual shading response rate. If the actual shading response rate is greater than the unit shading response rate, calibrate this type II test device as a small error test device; if the actual shading response rate is less than the unit shading response rate, calibrate it as a large error test device to obtain the second shading performance test result.

[0116] It should be noted that if the dynamic irradiation range fails to completely cover the established shading test area, it indicates that the device may have experienced control error phenomena such as excessive operation or failure to reach the travel of the sunshade awning after intelligent control due to over-sensitive or relatively sluggish sunshade responses. This has resulted in unreasonable sunshade angles, gaps, and ranges on the sunshade awning fabric. Therefore, it is necessary to conduct a sunshade response analysis of the travel control for this type of sunshade awning device to obtain the quality of its sunshade performance. In response to this, this method first obtains the model area in the negotiation diagram that reflects the negotiation between the two. Since the sunshade response error of the sunshade awning leads to the generation of this negotiation model area, this method calculates the unit sunshade response rate of the sunshade awning for the shading error by completely eliminating this negotiation model area, that is, the rate at which the sunshade awning makes a response at the same interval of unit time. This is a judgment benchmark for rate analysis and represents the response criterion that needs to be followed to eliminate the error. Among them, for the determination of the unit sunshade response rate, this method calculates the corresponding voxel volume value of the negotiation model area in the voxel segmentation field, and then uses a linear regression model to calculate the regression coefficient of the preset travel control parameter output by the shading control response strategy to control and eliminate this voxel volume value, and this regression coefficient is the final unit response rate. Then, by comparing and analyzing the actual sunshade response rate between the sunshade site that the sunshade awning should reach, that is, the standard travel site, and the actual travel site, if the actual sunshade response rate is greater than the unit sunshade response rate, it indicates that the sunshade response performance of this type II test device is high, the sensitivity is within a reasonable range, and no large response control error will be generated. Therefore, this type II test device is calibrated as a small error test device; otherwise, it indicates that the response sensitivity of this type II test device is too low, resulting in relatively poor sunshade response performance, so it is calibrated as a large error test device. Through this method, the sunshade response performance of the sunshade awning device after preliminary testing can be accurately analyzed, so that it is possible to know the quality of the sunshade performance of the sunshade awning, and the subsequent optimization of this type of device can be more accurate and reliable.

[0117] In addition, the outdoor electric sunshade awning device test method based on shading holographic simulation further includes the following steps:

[0118] Obtain the future shading holographic simulation model of the area where the outdoor electric sunshade awning device is located at a preset future time node, and obtain the future meteorological environment data of the area where the outdoor electric sunshade awning device is located and the migration trend vector and activity form of each future meteorological environment data through the future shading holographic simulation model;

[0119] Obtain a meteorological environment knowledge graph based on the big data network, and identify the damage intensity of each future meteorological environment data in the meteorological environment knowledge graph based on the activity form, and output the damage intensity level corresponding to each future meteorological environment data;

[0120] Obtain the material information of the awning fabric surface, and perform a dangerous tension application calculation on the damage intensity level of each future meteorological environment data based on the material information to obtain the critical interval of dangerous tension application for the awning fabric surface for each future meteorological environment data;

[0121] Obtain the force-bearing space of the outdoor electric awning device, divide the force-bearing space into several grid units, introduce the point density method to analyze the migration trend vector, so as to set the search radius of each future meteorological environment data, and calculate the distribution density of the critical interval of dangerous tension application in each grid unit based on the search radius, and generate a heat map of the dangerous tension distribution after the future meteorological environment is applied to the force-bearing space;

[0122] Construct a finite element model of the current outdoor electric awning device through finite element analysis software, and extract the actual tension distribution heat threshold of the current awning fabric surface through the finite element model;

[0123] If the actual tension distribution heat threshold can be queried in the dangerous tension distribution heat map, mark the awning fabric surface where the actual tension distribution heat threshold is located as a dangerous tension fabric surface and send out a warning signal, and perform maintenance and replacement on the dangerous tension fabric surface.

[0124] It should be noted that this device is integrated with the tension monitoring function of the awning fabric surface, which can monitor the tension of the awning fabric surface in real time, so as to prevent damage or relaxation caused by long-term shading operation and external meteorological environment forces, enabling users to perform maintenance and replacement according to the abnormal state of the awning tension. However, it is difficult to predict and analyze the tension effect exerted by the existing shading equipment on the future meteorological environment. For example, the equipment cannot take maintenance measures to deal with strong winds, resulting in the awning fabric surface running in a strong wind environment for a long time, which is easy to cause the fabric surface to break and tear, greatly reducing the shading performance of the equipment and increasing the output of operation and maintenance costs. Therefore, through this method, it is possible to analyze the migration trend, vector and activity of future meteorological data based on the shading holographic simulation model, so as to further analyze the dangerous tension value exerted by the future meteorological environment on the awning fabric surface, and analyze whether the actual tension of the awning fabric surface reaches the dangerous tension in the form of a heat map. That is, if the actual tension distribution heat threshold can be queried in the dangerous tension distribution heat map, it is marked as a dangerous tension fabric surface, and then a warning signal is sent to warn the user in advance to replace and maintain the awning fabric surface that cannot withstand the strong tension brought by the future meteorological environment, reduce the damage of the awning equipment, and improve the shading performance of the awning.

[0125] In addition, the test method for the outdoor electric awning device based on shading holographic simulation further includes the following steps:

[0126] Obtain the user design requirements for outdoor electric awning equipment, and analyze and model the user design requirements through 3D design software to generate a user-customized model of the outdoor electric awning equipment;

[0127] Obtain the test data of the outdoor electric awning equipment, extract several sunshade effect test assessment indicators through the evaluation data, and obtain the expected sunshade effect evaluation threshold for each sunshade effect test assessment indicator;

[0128] Draw and construct a sunshade effect test assessment radar chart according to each of the expected sunshade effect evaluation thresholds, and extract the sunshade effect compliance test radar area for the outdoor electric awning equipment by the sunshade effect test assessment radar chart;

[0129] Obtain the actual sunshade effect test radar area of the user-customized model, and remove the overlapping radar area between the sunshade effect compliance test radar area and the actual sunshade effect test radar area in the sunshade effect test assessment radar chart to obtain the area value of the non-overlapping radar area;

[0130] Obtain the actual design parameters of the user-customized model by the 3D design software, introduce the Kendall rank correlation coefficient to calculate the correlation degree between the actual design parameters and the area value, and obtain multiple correlation degrees;

[0131] If the correlation degree is greater than the preset correlation degree, extract the actual design parameters corresponding to the correlation degree, mark them as unreasonable design parameters, and generate an unreasonable design parameter model;

[0132] Based on the user design requirements, obtain the design standards for each unreasonable design parameter, construct a standard design parameter model according to the design standards, introduce the hash algorithm to calculate the hash function of the unreasonable design parameter model compared with the standard design parameter model, and optimize the user design of the outdoor electric awning equipment by the 3D design software according to the hash function.

[0133] It should be noted that this awning device also has the function of customizing awnings through mobile phone 3D mapping software, realizing the production of fast and efficient scene effect diagrams to meet the usage requirements of different users for awning devices. However, due to different design requirements, there are errors in the 3D mapping software for different design requirements, which makes the shading effect of the designed finished product unable to meet the user's expectations. In this regard, through this method, it is possible to test, evaluate, and assess the shading effect of the customized model of the awning device designed by the 3D design software according to the user's requirements, trace back the unreasonable design parameters in the test and assessment, and perform precise optimization and adjustment based on the user's design requirements, enabling the customized shading effect of the awning device designed by the 3D design software to meet the user's expectations, reducing design errors, greatly improving user satisfaction, and ensuring that the functions of this awning device serve and benefit different user groups to the greatest extent, with high reliability.

[0134] The second aspect of the present invention provides a test device for an outdoor electric awning device based on light-shielding holographic simulation, as Figure 3 shown. The test device for the outdoor electric awning device includes a memory 31 and a processor 32. The memory 31 stores a test method program for the outdoor electric awning device based on light-shielding holographic simulation. When the test method program for the outdoor electric awning device is executed by the processor 32, the steps of any of the test methods for the outdoor electric awning device are realized.

[0135] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A test method for an outdoor electric awning device based on light-shielding holographic simulation, characterized in that It includes the following steps: S102: Obtain the target shading site requirements of the outdoor electric awning device and several perceived light source environment data, perform phase encoding of two-dimensional sampling matrix mapping on the several light source environment data based on the target shading site requirements to obtain a light source environment hologram, and interpolate the light source environment hologram into the environmental simulation domain of the target shading site to generate a shading holographic simulation model; S104: Perform holographic simulation on the outdoor electric awning device based on the shading holographic simulation model to obtain the shading control response strategy made during the device simulation process and construct an octree model of light incidence. Calculate the octree model through the shading control response strategy to obtain the dynamic irradiation range of the reflected light. Analyze the established shading test area based on the dynamic irradiation range to obtain a preliminary shading test result; S106: Execute the negotiation coverage determination of the dynamic irradiation range and the established shading test area according to the preliminary shading test result. If the dynamic irradiation range completely covers the established shading test area, mark it as a type I test device, and compare and calculate the performance of the unqualified stroke control amount under the shading control response strategy compared to the reference stroke control amount required to eliminate the coverage of the dynamic irradiation range to obtain the first shading performance test result; S108: If the dynamic irradiation range does not completely cover the established shading test area, mark it as a type II test device. At this time, obtain the negotiation model area of the negotiation model diagram, calculate the voxel volume value of the negotiation model area using a voxel grid, and analyze the shading response rate of the actual stroke site and the standard stroke site based on the voxel volume value to eliminate the unit shading response rate under the control regression to obtain the second shading performance test result.

2. The method for testing an outdoor electric awning device based on light-shielding holographic simulation according to claim 1, wherein The step S102 specifically includes the following steps: Obtain the target shading site requirements of the outdoor electric awning device, and preset the reference wave type and the waveform phase vector of the reference wave type according to the target shading site requirements; Obtain several light source environment data sensed by the intelligent sensor of the outdoor electric awning device, construct a discretized two-dimensional sampling matrix of the target outdoor shading light field, and map the several light source environment data into the discretized two-dimensional sampling matrix one by one; Introduce the Fresnel diffraction formula during the mapping process, calculate the interference between the light wave propagation and the reference wave type of each light source environment data mapped into the discretized two-dimensional sampling matrix in the Fresnel diffraction formula based on the waveform phase vector to obtain the complex amplitude distribution of the light intensity, and construct a phase interference diagram of the light source environment where the outdoor electric awning device is located according to the complex amplitude distribution of the light intensity; Extract the phase information of the light source environment where the outdoor electric awning device is located based on the phase interference diagram, and encode and quantify the phase information at multiple discrete levels through holographic simulation software to obtain a phase-encoded and quantified light source environment hologram; Obtain the preset sensing range of the intelligent sensor, construct the environmental simulation domain of the target shading site based on the preset sensing range, and construct an interpolation function based on the light source environment data; Register and map the light source environment hologram to the field of environmental simulation, obtain the light source environment data corresponding to each interpolation function in the light source environment hologram within the field of environmental simulation, define it as holographic light source environment data, and establish a radial basis equation system based on the holographic light source environment data; Solve the radial basis equation system to obtain a radial basis coefficient vector, interpolate each light source environment data of the light source environment hologram into the environmental simulation field through the radial basis coefficient vector, and finally generate a shading holographic simulation model.

3. The method for testing an outdoor electric awning device based on light-shielding holographic simulation according to claim 1, characterized in that, The step S104 specifically includes the following steps: Analyze and calculate the original design drawings of the outdoor electric awning device through holographic simulation software to construct a holographic model of the outdoor electric awning device; Embed the holographic model of the outdoor electric awning device into the shading holographic simulation model for holographic simulation and shading. At this time, extract the shading control response strategy of the outdoor electric awning device to the change of the light source environment in the shading holographic simulation model; Obtain the dynamic opening and closing amplitude of the awning at a preset time sequence according to the shading control response strategy, and obtain the preset folding edge angle of the double-fold rainproof structure of the awning. During the holographic simulation process, divide the target shading scene into eight sub-boundary box regions, and construct an octree model of light source incidence based on the eight sub-boundary box regions; Starting from the incident starting point of the light ray, recursively check whether the boundary box of each tree node on the octree model intersects with the light ray. If it does not intersect, skip this tree node; if it intersects, continue to check the branch nodes of this tree node; until all tree nodes on the octree model are traversed, obtain the light ray direction and the light ray normal vector when the incident light ray irradiates on the awning; Calculate the reflection direction between the light ray direction and the light ray normal vector based on the dynamic opening and closing amplitude and the preset folding edge angle to obtain the reflection direction of the incident light ray. Dynamically and recursively track the reflected light ray after the incident light ray irradiates on the awning according to the reflection direction, and generate the dynamic irradiation range of the reflected light ray of the awning under the influence of the shading control response strategy; Identify and obtain the key exposure vulnerable points of the target shading object, the vulnerable range and the critical threshold corresponding to the exposure damage. Based on the vulnerable range, constrain and plan the regional space constraint graph of each point in the fixed shading area until the critical threshold is met, and obtain the established shading test area of the target shading object located on the outdoor electric awning device; If there is no intersection phenomenon between the dynamic irradiation range and the established shading test area at the preset time sequence, calibrate this outdoor electric awning device as a qualified test device; if there is no intersection phenomenon between the dynamic irradiation range and the established shading test area at the preset time sequence, calibrate this outdoor electric awning device as an unqualified test device to obtain a preliminary shading test result.

4. The test method for an outdoor electric awning device based on light-shielding holographic simulation according to claim 3, characterized in that, The step of identifying and obtaining the key exposure vulnerable points of the target shading object, the vulnerable range and the critical threshold corresponding to the exposure damage, and constraining and planning the regional space constraint graph of each point in the fixed shading area based on the vulnerable range until the critical threshold is met to obtain the established shading test area of the target shading object located on the outdoor electric awning device specifically includes the following steps: Obtain the target shading object that is fully considered during the design of the outdoor electric awning device, and obtain the exposure usage safety information of the target shading object. Based on the exposure usage safety information, retrieve and identify one or more vulnerable positions of the target shading object in the big data network, which are defined as key exposure vulnerable points; Obtain the vulnerable range of exposure damage caused by the surrounding environmental light source irradiating each key exposure vulnerable point and the critical threshold required to reach exposure damage. At the same time, obtain the original design drawing of the outdoor electric awning device and the spatial coordinate points of the target shading object located on the outdoor electric awning device; Construct the regional coordinate space of the fixed shading area in the outdoor electric awning device through the design parameters in the original design drawing. Define the planning variables of the regional coordinate space and the value range of each planning variable based on all the spatial coordinates included in the vulnerable range at the spatial coordinate points. Define the constraint conditions between adjacent planning variables based on the critical threshold; Set the planning premise with the planning variables as nodes and the boundaries as the constraint relationships between adjacent planning variables. Based on the planning premise, assign values to each planning variable one by one in the value range until a coordinate solution that satisfies the planning constraint conditions is found through recursive attempts, and generate the regional space constraint graph of each key exposure vulnerable point; Based on the spatial coordinate points, position and fit the regional space constraint graph of each key exposure vulnerable point to the regional coordinate space of the fixed shading area one by one to obtain the established shading test area of the target shading object located inside the outdoor electric awning device.

5. The test method for an outdoor electric awning device based on light-shielding holographic simulation according to claim 1, characterized in that, The step S106 specifically includes the following steps: If the preliminary shading test result shows a non-conforming test device, extract the hologram where the dynamic irradiation range intersects with the established shading test area during the holographic simulation process, which is defined as the negotiation model diagram; Judge whether the dynamic irradiation range in the negotiation model diagram completely covers the established shading test area. If it completely covers, mark the outdoor electric awning device corresponding to the non-conforming test device as a type I test device; For the type I test device, preset the exposure safety range of the established shading test area based on the exposure usage safety information of the target shading object, and demarcate and mark the exposure safety range in the fixed shading area of the outdoor electric awning device; Move the dynamic irradiation range out of the completely covered position shown in the negotiation model diagram in the regional coordinate space of the fixed shading area until it is outside the exposure safety range. At this time, obtain the incident angle deviation rate and the light reflection wavelength deviation value between the starting position where the dynamic irradiation range is moved out from the original position in the negotiation model diagram until it is eliminated; Introduce the total reflection displacement formula, and calculate and solve the incident angle deviation and the light reflection wavelength deviation value through the total reflection displacement formula to obtain the displacement amount of the reflected light, which is defined as the necessary reflected light displacement amount; Calculate the necessary reflected light displacement amount according to the stroke control principle of the outdoor electric sunshade awning device, obtain several reference stroke control amounts, extract the unqualified stroke control amounts when the dynamic irradiation range completely covers the established shading test area, introduce the Cardinal curve method to perform performance curvature analysis on several reference stroke control amounts and unqualified stroke control amounts of a type of test device, and obtain the first sunshade performance test result.

6. The test method for outdoor electric awning equipment based on light-shielding holographic simulation according to claim 5, characterized in that, The method of calculating the necessary reflected light displacement amount according to the stroke control principle of the outdoor electric sunshade awning device, obtaining several reference stroke control amounts, extracting the unqualified stroke control amounts when the dynamic irradiation range completely covers the established shading test area, introducing the Cardinal curve method to perform performance curvature analysis on several reference stroke control amounts and unqualified stroke control amounts of a type of test device, and obtaining the first sunshade performance test result specifically includes the following steps: Obtain the stroke control principle of the outdoor electric sunshade awning device, determine the reference sunshade awning control stroke that makes the dynamic irradiation range move out until the phenomenon of completely covering the established shading test area is eliminated according to the necessary reflected light displacement amount, calculate several stroke control amounts required for the outdoor electric sunshade awning device to execute the reference sunshade awning control stroke based on the stroke control principle, and mark them as reference stroke control amounts; Extract several stroke control amounts when the dynamic irradiation range in the negotiation model diagram completely covers the established shading test area through the shading control response strategy, mark them as unqualified stroke control amounts, introduce the Cardinal curve method, set stroke control points based on the preset time sequence, and fit each of the several reference stroke control amounts and several unqualified stroke control amounts one by one in the Cardinal curve method; After the fitting is completed, obtain the Cardinal curve of the unqualified stroke control amount, which is marked as the first Cardinal curve; and obtain the Cardinal curve of the reference stroke control amount, which is marked as the second Cardinal curve; If the curvature of the first Cardinal curve is less than the curvature of the second Cardinal curve, then mark this type of test device as a small error test device; if the curvature of the first Cardinal curve is greater than the curvature of the second Cardinal curve, then mark it as a large error test device, and obtain the first sunshade performance test result.

7. The test method for an outdoor electric awning device based on light-shielding holographic simulation according to claim 1, wherein The step S108 specifically includes the following steps: If the dynamic irradiation range in the negotiation model diagram does not completely cover the established shading test area, then mark the outdoor electric sunshade awning device corresponding to this unqualified test device as a type II test device; For the type II test device, strip out the negotiation model area where the dynamic irradiation range and the established shading test area interact in the negotiation model diagram, and preset the voxel grid resolution based on the regional space constraint diagram of each key exposure vulnerable point; Construct a voxel segmentation domain based on the voxel grid resolution, map the negotiation model area to the voxel segmentation domain and count the occupied cubic voxels to obtain the occupied cubic voxel quantity, multiply the occupied cubic voxel quantity by the voxel volume of each occupied cubic voxel to obtain the voxel volume value of the negotiation model area; Obtain the preset stroke control parameters output by the shading control response strategy, construct a linear regression model, perform regression calculations on the elimination control of the preset stroke control parameters and the voxel volume value through the linear regression model to obtain the control regression coefficient, and determine the unit shading response rate required for the shading control response strategy to eliminate the negotiation model area according to the control regression coefficient; Select the termination time sequence node in the preset time sequence, obtain the actual stroke position of the outdoor electric awning device when executing the shading control response strategy and reaching the termination time sequence node, and obtain the standard stroke position that the outdoor electric awning device should reach when executing the shading control response strategy to the termination time sequence node; Calculate the response rate between the actual stroke position and the standard stroke position to obtain the actual shading response rate. If the actual shading response rate is greater than the unit shading response rate, calibrate this type II test device as a small error test device; if the actual shading response rate is less than the unit shading response rate, calibrate it as a large error test device to obtain the second shading performance test result.

8. Outdoor electric awning equipment test device based on light-shielding holographic simulation, characterized in that The outdoor electric awning device test device includes a memory and a processor. The memory stores a test method program for the outdoor electric awning device based on shading holographic simulation. When the test method program for the outdoor electric awning device is executed by the processor, the steps of the test method for the outdoor electric awning device according to any one of claims 1-7 are implemented.

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