Outdoor electric awning equipment testing method and device based on shading holographic simulation

Abstract

The invention relates to the technical field of sunshade equipment, in particular to an outdoor electric sunshade equipment testing method and device based on shading holographic simulation. The method comprises the following steps: acquiring surrounding light source environment data and operation data of an area where the outdoor electric awning equipment needs to be arranged through a sensor system on the outdoor electric awning equipment, and constructing a shading holographic simulation model in a deep learning algorithm based on the surrounding light source environment data and the operation data; and carrying out a shading simulation test on the actual environment and the light environment where the outdoor electric awning equipment is located through the shading holographic simulation model, outputting a shading test result, and further analyzing the shading control performance of the outdoor electric awning equipment according to the shading test result. According to the method, the outdoor electric awning equipment is subjected to virtual test in a mode of constructing the sunshade holographic simulation model, so that whether the sunshade control state and performance of the outdoor electric awning equipment are accurate or not is judged, manual test errors are reduced, and the sunshade intelligent control performance and efficiency are improved.

Description

Technical Field

[0001] The invention relates to the technical field of sunshade equipment, and in particular to a testing method and a device for outdoor electric sunshade equipment based on light-shielding holographic simulation. Background Art

[0002] With the development of modern protection design concepts, more and more facilities are beginning to use outdoor electric awning equipment, such as parking lots and car parking spaces, to improve the comfort and safety of the facilities. Outdoor electric awnings can effectively block the sun, reduce the temperature rise of objects, and to a certain extent prevent ultraviolet rays from causing unnecessary damage to the core components of the facilities. At the same time, the use of electric awnings can also enhance the aesthetic value of the building's appearance and have a wide market demand. With the continuous innovation and marketization of electric awning products, the reliability of product performance and quality has become particularly important. How to use scientific testing methods to test the various performances of outdoor electric awnings, such as shading effect, shading performance, and the accuracy and stability of the intelligent control system, has become a technical problem that the industry is currently working to solve.

[0003] Due to the large differences in testing methods among different manufacturers and regions, the existing outdoor electric awning equipment still lacks a unified electric awning testing system, which makes it difficult to compare the performance of the equipment and it is impossible to accurately evaluate the pros and cons of awnings of different brands or models. In addition, the existing testing methods often focus on a single quality assessment, such as the conductivity or heat resistance of the awning material quality, while ignoring the testing of important sunshade performance indicators to fully reflect the pros and cons of its comprehensive performance. In addition, the existing testing methods are often performed in the form of manual actual testing. This kind of human intervention test has a large manual error, resulting in extremely inaccurate final test results, low test efficiency, high test cost, and time-consuming and labor-intensive. Therefore, a precise and efficient outdoor electric awning equipment testing method is needed to solve the above problems. Summary of the invention

[0004] The present invention overcomes the shortcomings of the prior art and provides a method and a device for testing outdoor electric awning equipment based on shading holographic simulation.

[0005] To achieve the above object, the technical solution adopted by the present invention is: The first aspect of the present invention provides a method for testing an outdoor electric awning device based on shading holographic simulation, comprising the following steps: S102: Obtain the target shading site requirements of the outdoor electric awning device and the sensed light source environment data, perform phase encoding of two-dimensional sampling matrix mapping on the light source environment data based on the target shading site requirements, obtain a light source environment hologram, and interpolate the light source environment hologram into the environment simulation field of the target shading site to generate a shading holographic simulation model; S104: Performing a 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 to construct an octree model of light incidence, calculating the octree model through the shading control response strategy to obtain the dynamic illumination range of the reflected light, analyzing the established shading test area based on the dynamic illumination range, and obtaining a preliminary shading test result; S106: Perform negotiation coverage determination between 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, it is marked as a type 1 test device, and the performance of the unqualified stroke control amount under the shading control response strategy is compared with the benchmark stroke control amount required to eliminate the coverage of the dynamic illumination range, so as to obtain the first shading performance test result; S108: If the dynamic illumination range does not completely cover the established shading test area, it is marked as a Class II test device. At this time, the negotiation model area of ​​the negotiation model diagram is obtained, and the voxel volume value of the negotiation model area is calculated using the voxel grid. The shading response rates of the actual travel position and the standard travel position are analyzed based on the unit shading response rate under the voxel volume value elimination control regression to obtain the second shading performance test result.

[0006] More specifically, the step S102 includes the following steps: Obtaining a target shading site requirement for an outdoor electric awning device, and presetting a reference wave type and a waveform phase vector of the reference wave type according to the target shading site requirement; Acquire a plurality of light source environment data sensed by the intelligent sensor of the outdoor electric awning device, construct a discrete two-dimensional sampling matrix of the target outdoor shading sunlight field, and map the plurality of light source environment data one by one into the discrete two-dimensional sampling matrix; The Fresnel diffraction formula is introduced in the mapping process. Based on the waveform phase vector, the interference between the light wave propagation and the reference wave type mapped to each light source environment data in the discretized two-dimensional sampling matrix is ​​calculated in the Fresnel diffraction formula to obtain the complex amplitude distribution of the light intensity. According to the complex amplitude distribution of the light intensity, a phase interference diagram of the light source environment where the outdoor electric awning device is located is constructed; Extracting phase information of the light source environment in which the outdoor electric awning device is located based on the phase interference pattern, and encoding and quantizing the phase information at multiple discrete levels through holographic simulation software to obtain a phase-encoded and quantized light source environment hologram; Obtain the preset sensing range of the smart sensor, construct the environmental simulation field of the target shading site based on the preset sensing range, and construct an interpolation function based on the light source environment data; Mapping the light source environment hologram to the environment simulation field, obtaining the light source environment data corresponding to each interpolation function in the light source environment hologram in the environment simulation field, defining it as holographic light source environment data, and establishing a radial basis equation group according to the holographic light source environment data; The radial basis equations are solved to obtain radial basis coefficient vectors, and each light source environment data of the light source environment hologram is interpolated into the environment simulation field through the radial basis coefficient vectors, and finally a shading holographic simulation model is generated.

[0007] More specifically, the step S104 includes the following steps: Analyze and calculate the original design drawings of the outdoor electric awning equipment through holographic simulation software to build a holographic model of the outdoor electric awning equipment; The holographic model of the outdoor electric awning device is embedded in the shading holographic simulation model to perform holographic simulation shading, and at this time, 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 is extracted; According to the shading control response strategy, the dynamic opening and closing amplitude of the awning at the preset time sequence is obtained, and the preset folding angle of the double-folding rainproof structure of the awning is obtained. During the holographic simulation process, the target shading scene is divided into eight sub-boundary box areas, and an octree model of the light source incident is constructed based on the eight sub-boundary box areas; Starting from the incident starting point of the light, recursively check whether the bounding box of each tree node on the octree model intersects with the light. If not, skip the tree node; if intersecting, continue to check the branch nodes of the tree node; until all tree nodes on the octree model are traversed, the light direction and light normal vector when the incident light shines on the awning are obtained; The reflection direction between the light direction and the light normal vector is calculated based on the dynamic opening and closing amplitude and the preset folding angle to obtain the reflection direction of the incident light. According to the reflection direction, the reflected light after the incident light is irradiated on the awning is dynamically and recursively tracked to generate the dynamic irradiation range of the reflected light of the awning under the influence of the shading control response strategy conditions. Identify and obtain the key exposure vulnerable points of the target shading object and the corresponding vulnerable range and critical threshold of exposure damage, and constrain the planning of the regional spatial constraint map of each point in the fixed shading area based on the vulnerable range until the critical threshold is met, and obtain the target shading object in the established shading test area of ​​the outdoor electric awning equipment; If there is no mutual interaction between the dynamic illumination range and the established shading test area at the preset timing, the outdoor electric awning device is calibrated as a qualified test device; if there is no mutual interaction between the dynamic illumination range and the established shading test area at the preset timing, the outdoor electric awning device is calibrated as an unqualified test device, and a preliminary shading test result is obtained.

[0008] More specifically, the identification obtains the key exposure vulnerable points of the target shading object and the vulnerable range and critical threshold of the corresponding exposure damage, and constrains the planning of the regional spatial constraint map of each point in the fixed shading area based on the vulnerable range until the critical threshold is met, and obtains the target shading object in the established shading test area of ​​the outdoor electric awning device, which specifically includes the following steps: Obtaining a target shading object that is fully considered when designing an outdoor electric awning device, and obtaining exposure safety information of the target shading object, and retrieving and identifying one or more vulnerable positions of the target shading object in a big data network based on the exposure safety information, and defining them as key exposure vulnerable points; 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 the exposure damage, and at the same time obtain the original design drawings of the outdoor electric awning equipment and the spatial coordinate points of the target shading object located at the outdoor electric awning equipment; The regional coordinate space of the fixed shading area in the outdoor electric awning equipment is constructed through the design parameters in the original design drawings. The planning variables of the regional coordinate space and the value range of each planning variable are defined based on all the spatial coordinates contained in the vulnerable range at the spatial coordinate points. The constraints between adjacent planning variables are defined based on the critical threshold. The planning premise is set with planning variables as nodes and boundaries as constraints between adjacent planning variables. Based on the planning premise, each planning variable is assigned a value in the value domain one by one until a coordinate solution that satisfies the planning constraints is recursively tried to generate a regional spatial constraint diagram for each key exposure vulnerable point. Based on the spatial coordinate points, the regional spatial constraint map of each key exposure vulnerable point is positioned and fitted to the regional coordinate space of the fixed shading area one by one, and the target shading object is located in the established shading test area in the outdoor electric awning device.

[0009] More specifically, the step S106 includes the following steps: If the preliminary shading test results show that the test equipment is unqualified, a hologram with a negotiation between the dynamic illumination range and the established shading test area is extracted during the holographic simulation process, which is defined as a negotiation model diagram; Determine whether the dynamic illumination 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 unqualified test device as a Class I test device; For a type of test equipment, an exposure safety range of a predetermined shading test area is preset based on the exposure safety information of the target shading object, and the exposure safety range is marked in a fixed shading area of ​​the outdoor electric awning device; The dynamic irradiation range is moved out of the fully covered position shown in the negotiation model diagram in the regional coordinate space of the fixed shading area until it is placed outside the exposure safety range, and at this time, the incident angle deviation rate and the light reflection wavelength deviation value between the dynamic irradiation range moving out of the original position of the negotiation model diagram and the termination position after elimination are obtained; A total reflection displacement formula is introduced, and the incident angle deviation and the light reflection wavelength deviation are calculated and solved by the total reflection displacement formula to obtain the displacement of the reflected light, which is defined as the necessary displacement of the reflected light; The necessary reflected light displacement is calculated through the stroke control principle of the outdoor electric awning equipment, and several benchmark stroke control quantities are obtained. The unqualified stroke control quantities when the dynamic illumination range completely covers the established shading test area are extracted, and the Cardinal curve method is introduced to perform performance curvature analysis on several benchmark stroke control quantities and unqualified stroke control quantities of a type of test equipment to obtain the first shading performance test result.

[0010] More specifically, the necessary reflected light displacement is calculated by the stroke control principle of the outdoor electric awning device, a number of reference stroke control quantities are obtained, and the unqualified stroke control quantities when the dynamic illumination 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 quantities and unqualified stroke control quantities of a type of test equipment to obtain the first shading performance test result, which specifically includes the following steps: Obtaining the stroke control principle of the outdoor electric awning device, determining the reference awning control stroke that moves the dynamic illumination range out until the phenomenon of completely covering the established shading test area is eliminated according to the necessary reflected light displacement, and calculating a number of stroke control amounts required for the outdoor electric awning device to execute the reference awning control stroke based on the stroke control principle, and marking them as reference stroke control amounts; Through the shading control response strategy, several travel control quantities when the dynamic illumination range completely covers the established shading test area in the negotiation model diagram are extracted and marked as unqualified travel control quantities. The Cardinal curve method is introduced, and the travel control points are set based on the preset timing. Based on the travel control points, several benchmark travel control quantities and several unqualified travel control quantities are fitted one by one in the Cardinal curve method. After the fitting is completed, the Cardinal curve of the unqualified stroke control amount is obtained and calibrated as the first Cardinal curve; and the Cardinal curve of the reference stroke control amount is obtained and calibrated as the second Cardinal curve; If the curvature of the first Cardinal curve is smaller than that of the second Cardinal curve, the test equipment is calibrated as a small error test equipment; if the curvature of the first Cardinal curve is larger than that of the second Cardinal curve, the test equipment is calibrated as a large error test equipment, and the first sunshade performance test result is obtained.

[0011] More specifically, the step S108 includes the following steps: If the dynamic illumination range in the negotiation model diagram does not completely cover the established shading test area, the outdoor electric awning device corresponding to the unqualified test device shall be marked as a Class II test device; For the second type of test equipment, the negotiation model area where the dynamic illumination range and the established shading test area are negotiated with each other in the negotiation model map is stripped out, and the voxel grid resolution is preset based on the regional spatial constraint map of each key exposure vulnerable point; Constructing a voxel segmentation domain based on the voxel grid resolution, mapping the negotiation model region to the voxel segmentation domain and counting the number of occupied cubic voxels to obtain the number of occupied cubic voxels, and multiplying the number of occupied cubic voxels by the voxel volume of each occupied cubic voxel to obtain the voxel volume value of the negotiation model region; Obtaining preset travel control parameters output by the shading control response strategy, constructing a linear regression model, performing regression calculation on the preset travel control parameters and the elimination control of the voxel volume value through the linear regression model to obtain a control regression coefficient, and determining 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 timing node on the preset timing, obtain the actual travel position when the outdoor electric awning device executes the shading control response strategy and reaches the termination timing node, and obtain the standard travel position that the outdoor electric awning device should reach when executing the shading control response strategy to the termination timing node; The response rate between the actual travel position and the standard travel position is calculated to obtain the actual shading response rate. If the actual shading response rate is greater than the unit shading response rate, the second type of test equipment is calibrated as a small error test equipment; if the actual shading response rate is less than the unit shading response rate, it is calibrated as a large error test equipment to obtain the second shading performance test result.

[0012] A second aspect of the present invention provides an outdoor electric awning equipment testing device based on shading holographic simulation, the outdoor electric awning equipment testing device includes a memory and a processor, the memory stores an outdoor electric awning equipment testing method program based on shading holographic simulation, when the outdoor electric awning equipment testing method program is executed by the processor, any one of the outdoor electric awning equipment testing method steps is implemented.

[0013] The present invention solves the technical defects existing in the background technology, and the beneficial technical effects of the present invention are: Based on the requirements of the target shading site, a number of light source environment data are mapped to a two-dimensional sampling matrix through phase encoding, and the light source environment hologram is interpolated into the environmental simulation field of the target shading site to generate a shading holographic simulation model; based on the shading holographic simulation model, a holographic simulation is performed on the outdoor electric awning equipment and an octree model calculation of the shading control response strategy is performed to obtain the dynamic illumination range of the reflected light, and the established shading test area is analyzed based on the dynamic illumination range to obtain the shading test result; if the dynamic illumination range completely covers the established shading test area, it is marked as a Class I test The device is compared and calculated under the shading control response strategy, and the performance of the unqualified stroke control amount is compared with the benchmark stroke control amount required to eliminate the coverage of the dynamic illumination range on the established shading test area, and the first shading performance test result is obtained; if the dynamic illumination range does not completely cover the established shading test area, it is marked as a second-class test device, and the voxel volume value of the negotiation model area is calculated using the voxel grid, and the shading response rate of the actual stroke position and the standard stroke position is analyzed based on the voxel volume value elimination control regression unit shading response rate, and the second shading performance test result is obtained. The present invention conducts a virtual test on the outdoor electric awning device by constructing a shading holographic simulation model, so as to determine whether the shading control state and performance of the outdoor electric awning device are accurate, provide an optimized decision-making basis for the accurate shading control of the device, reduce human testing errors, and improve the performance and efficiency of intelligent shading control. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0015] Figure 1 A first method flow chart of a method for testing an outdoor electric awning device based on shading holographic simulation is shown; Figure 2 A second method flow chart of the outdoor electric awning equipment testing method based on shading holographic simulation is shown; Figure 3 The device structure diagram of the outdoor electric awning equipment testing device based on shading holographic simulation is shown. DETAILED DESCRIPTION

[0016] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0017] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0018] The first aspect of the present invention provides a method for testing an outdoor electric awning device based on shading holographic simulation, such as Figure 1 As shown, the following steps are included: S102: Obtain the target shading site requirements of the outdoor electric awning device and the sensed light source environment data, perform phase encoding of two-dimensional sampling matrix mapping on the light source environment data based on the target shading site requirements, obtain a light source environment hologram, and interpolate the light source environment hologram into the environment simulation field of the target shading site to generate a shading holographic simulation model; S104: Performing a 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 to construct an octree model of light incidence, calculating the octree model through the shading control response strategy to obtain the dynamic illumination range of the reflected light, analyzing the established shading test area based on the dynamic illumination range, and obtaining a preliminary shading test result; S106: Perform negotiation coverage determination between 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, it is marked as a type 1 test device, and the performance of the unqualified stroke control amount under the shading control response strategy is compared with the benchmark stroke control amount required to eliminate the coverage of the dynamic illumination range, so as to obtain the first shading performance test result; S108: If the dynamic illumination range does not completely cover the established shading test area, it is marked as a Class II test device. At this time, the negotiation model area of ​​the negotiation model diagram is obtained, and the voxel volume value of the negotiation model area is calculated using the voxel grid. The shading response rates of the actual travel position and the standard travel position are analyzed based on the unit shading response rate under the voxel volume value elimination control regression to obtain the second shading performance test result.

[0019] More specifically, the step S102 includes the following steps: Obtaining a target shading site requirement for an outdoor electric awning device, and presetting a reference wave type and a waveform phase vector of the reference wave type according to the target shading site requirement; Acquire a plurality of light source environment data sensed by the intelligent sensor of the outdoor electric awning device, construct a discrete two-dimensional sampling matrix of the target outdoor shading sunlight field, and map the plurality of light source environment data one by one into the discrete two-dimensional sampling matrix; The Fresnel diffraction formula is introduced in the mapping process. Based on the waveform phase vector, the interference between the light wave propagation and the reference wave type mapped to each light source environment data in the discretized two-dimensional sampling matrix is ​​calculated in the Fresnel diffraction formula to obtain the complex amplitude distribution of the light intensity. According to the complex amplitude distribution of the light intensity, a phase interference diagram of the light source environment where the outdoor electric awning device is located is constructed; Extracting phase information of the light source environment in which the outdoor electric awning device is located based on the phase interference pattern, and encoding and quantizing the phase information at multiple discrete levels through holographic simulation software to obtain a phase-encoded and quantized light source environment hologram; Obtain the preset sensing range of the smart sensor, construct the environmental simulation field of the target shading site based on the preset sensing range, and construct an interpolation function based on the light source environment data; Mapping the light source environment hologram to the environment simulation field, obtaining the light source environment data corresponding to each interpolation function in the light source environment hologram in the environment simulation field, defining it as holographic light source environment data, and establishing a radial basis equation group according to the holographic light source environment data; The radial basis equations are solved to obtain radial basis coefficient vectors, and each light source environment data of the light source environment hologram is interpolated into the environment simulation field through the radial basis coefficient vectors, and finally a shading holographic simulation model is generated.

[0020] It should be noted that due to the spatial and angular variability of light, it is often difficult to ensure the accuracy of the test when testing the awning's shading effect in a field light environment, and manual intervention and observation are required, which is prone to human test errors, reducing the reliability of the awning's shading test results. Holographic simulation technology can accurately simulate the performance of awnings under different lighting conditions without the need for a physical awning on site. Through holograms, it can simulate different weather conditions, changes in sunlight angles during different time periods, and the impact of different environmental factors on awning performance, reconstruct the propagation and illumination of light in real time, and then evaluate the awning's shading effect, greatly saving the resources and time required for testing; and there is no need for excessive manual intervention to avoid large manual test errors. Therefore, the performance of the awning can be tested by constructing a shading holographic simulation model. In this regard, the method first sets a reference wave according to the target shading site requirements of the outdoor electric awning equipment. The reference wave is used to generate a light wave that interferes with the object wavefront, and its selection type directly affects the quality and reconstruction effect of the final hologram; then the perceived light source environment data is mapped one by one to 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. Then, when mapping, the Fresnel diffraction formula is used to calculate the interference and diffraction phenomena of the light wave during the propagation process, and the complex amplitude distribution of the light intensity can be obtained. The phase interference information of the light environment light wave and the reference wave under the complex amplitude distribution is used to phase encode and quantize to generate a series of holograms expressing the light source environment data. Finally, these series of holograms are radially interpolated in the environmental simulation field of the target shading site to obtain a holographic simulation model. Among them, the radial 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.

[0021] It should be noted that this method can map the light environment data perceived by the outdoor electric awning device into a hologram pattern, and then interpolate it into an accurate shading holographic simulation model of the light environment behavior, providing a reliable shading test tool for the outdoor electric awning device, replacing the tedious steps of traditional manual field testing, reducing test result errors, and improving test efficiency.

[0022] More specifically, the step S104 includes the following steps: Analyze and calculate the original design drawings of the outdoor electric awning equipment through holographic simulation software to build a holographic model of the outdoor electric awning equipment; The holographic model of the outdoor electric awning device is embedded in the shading holographic simulation model to perform holographic simulation shading, and at this time, 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 is extracted; According to the shading control response strategy, the dynamic opening and closing amplitude of the awning at the preset time sequence is obtained, and the preset folding angle of the double-folding rainproof structure of the awning is obtained. During the holographic simulation process, the target shading scene is divided into eight sub-boundary box areas, and an octree model of the light source incident is constructed based on the eight sub-boundary box areas; Starting from the incident starting point of the light, recursively check whether the bounding box of each tree node on the octree model intersects with the light. If not, skip the tree node; if intersecting, continue to check the branch nodes of the tree node; until all tree nodes on the octree model are traversed, the light direction and light normal vector when the incident light shines on the awning are obtained; The reflection direction between the light direction and the light normal vector is calculated based on the dynamic opening and closing amplitude and the preset folding angle to obtain the reflection direction of the incident light. According to the reflection direction, the reflected light after the incident light is irradiated on the awning is dynamically and recursively tracked to generate the dynamic irradiation range of the reflected light of the awning under the influence of the shading control response strategy conditions. Identify and obtain the key exposure vulnerable points of the target shading object and the corresponding vulnerable range and critical threshold of exposure damage, and constrain the planning of the regional spatial constraint map of each point in the fixed shading area based on the vulnerable range until the critical threshold is met, and obtain the target shading object in the established shading test area of ​​the outdoor electric awning equipment; If there is no mutual interaction between the dynamic illumination range and the established shading test area at the preset timing, the outdoor electric awning device is calibrated as a qualified test device; if there is no mutual interaction between the dynamic illumination range and the established shading test area at the preset timing, the outdoor electric awning device is calibrated as an unqualified test device, and the shading test result is obtained.

[0023] It should be noted that after the shading holographic simulation model is constructed, it can be used to perform holographic shading simulation on the outdoor electric awning. However, since the construction basis of the shading holographic simulation model is the light source environment data of the shading site perceived by the intelligent sensing system of the outdoor electric awning equipment in time sequence, and its light source environment is constantly changing, the awning's shading control of its light source environment is also a dynamic process; and one of the main shading functions of the awning is to block the reflection of the light source to prevent it from falling on the object that needs to be shaded. Therefore, the performance of the awning can be judged by whether the dynamic light reflection simulated by the holographic simulation will illuminate the exposure position of the shading object. In view of this, this method uses the shading holographic simulation model to perform holographic simulation on the outdoor electric awning equipment, so as to obtain some control strategies for the awning to cope with changes in the light environment, that is, the shading control response strategy. This strategy is the accurate basis for the awning shading response control and is the basis for analyzing the awning shading effect. Then, an octree model of light source incidence is constructed with eight sub-bounding box areas to track the incidence of light from the light source. The core goal of the octree model is to calculate the intersection of the light and the scene. Only by finding the nearest intersection of the light and the scene can the direction and normal vector of the light source incidence be described. Thus, the direction and normal vector of the light source shining on the awning can be obtained through the physical scene of the light, which provides theoretical calculation data for subsequent reflection calculations, avoids unnecessary calculation steps and memory overhead, and improves the rendering realism and incidence accuracy of the holographic simulation.

[0024] It should be noted that by obtaining the dynamic opening and closing amplitude and the preset folding angle of the awning on the preset timing from the shading control response strategy, the reflection direction between the light direction generated by the incident light and the normal vector can be further calculated. The reflection direction is an important prerequisite for dynamic reflection ray tracing and is also the basis for determining whether the dynamic reflection light is accurate or not; dynamic recursive tracing is used to capture the reflected light after the incident light is irradiated on the awning. The tracing process is tracked in real time with the light source environment data of the shading holographic simulation model, which ensures the accuracy of the light reflection change simulation, and finally the dynamic irradiation range of the reflected light of the awning under the influence of the shading control response strategy can be generated. In addition to the dynamic refraction range, an irradiated object is required to analyze the awning's shading performance. Therefore, this method identifies the key exposure vulnerable points of the target shading object and the corresponding vulnerable range and critical threshold of exposure damage to further constrain the planning of the target shading object to be located in the established shading test area of ​​the outdoor electric awning equipment. The established shading area is the area that cannot be affected by the light reflection exposure, which is one of the basic bases for the subsequent determination of the awning's shading performance. Among them, if there is no mutual negotiation between the dynamic illumination range and the established shading test area at the preset timing, it means that there is no reflection phenomenon after the light source passes through the intelligent shading control of the awning, most of the light is shielded, and it will not irradiate the shielded object, and the shading performance is excellent; if there is no mutual negotiation between the dynamic illumination range and the established shading test area at the preset timing, it means that the intelligent shading control of the awning cannot effectively shield the light, causing the light to be reflected through the shading surface to the shielded object, and the shading performance is poor. This method can preliminarily test and judge whether the shading performance of outdoor electric awning equipment is qualified or not, providing a reliable reference basis for the subsequent improvement of the performance of shading products, and can effectively improve the shading quality and control accuracy of shading products.

[0025] More specifically, the identification obtains the key exposure vulnerable points of the target shading object and the corresponding vulnerable range and critical threshold of exposure damage, and constrains the planning of the regional spatial constraint map of each point in the fixed shading area based on the vulnerable range until the critical threshold is met, and the target shading object is located in the established shading test area of ​​the outdoor electric awning device, such as Figure 2 As shown, the specific steps include: S202: Obtain a target shading object that is fully considered when designing an outdoor electric awning device, and obtain exposure safety information of the target shading object, and retrieve and identify one or more vulnerable positions of the target shading object in a big data network based on the exposure safety information, and define them as key exposure vulnerable points; S204: Obtaining the vulnerable range of each key exposure vulnerable point caused by the ambient light source and the critical threshold required to reach the exposure damage, and at the same time obtaining the original design drawing of the outdoor electric awning device and the spatial coordinate point of the target shading object located at the outdoor electric awning device; S206: constructing a regional coordinate space of a fixed shading area in an outdoor electric awning device using design parameters in the original design drawing, defining planning variables of the regional coordinate space and a value range of each planning variable based on all spatial coordinates contained in the vulnerable range at the spatial coordinate point, and defining constraint conditions between adjacent planning variables based on a critical threshold; S208: Setting planning premises with planning variables as nodes and boundaries as constraints between adjacent planning variables, assigning values ​​to each planning variable one by one in the value domain based on the planning premises until a coordinate solution that satisfies the planning constraints is recursively tried, and generating a regional spatial constraint graph for each key exposure vulnerable point; S210: Based on the spatial coordinate points, the regional spatial constraint map of each key exposure vulnerable point is positioned and fitted to the regional coordinate space of the fixed shading area one by one to obtain a predetermined shading test area where the target shading object is located in the outdoor electric awning device.

[0026] It should be noted that awnings can be used to shade different objects, such as outdoor cars, electric vehicle parking shading, charging station shading, etc., and some of these shading objects may be dangerous to use if exposed to strong light and high temperature. For example, the above-mentioned electric vehicle is equipped with a rechargeable lithium battery. If the rechargeable lithium battery is not blocked by a shield or the shielding effect is poor, it is very likely to explode after long-term exposure to outdoor high temperature. Therefore, the exposure safety characteristics of these objects can be used to plan an area for their dangerous use. By analyzing the state of the dynamic illumination range illuminating this area, the performance of the awning equipment can be further determined. This method uses the exposure safety information of the target sunshade object to identify one or more possible key exposure vulnerable points. These key exposure vulnerable points are sensitive to strong light such as sunlight and are easily damaged. Since these key exposure vulnerable points have a range and critical value that will cause damage to the sunshade object after exposure, namely, the vulnerable range and the critical threshold of exposure damage, for example, the installation distribution area and size of the internal rechargeable lithium battery of an electric vehicle are fixed, while the location range and size of the rechargeable lithium battery itself are areas that cannot be directly exposed to light, so it is a vulnerable range. For the rechargeable lithium battery to explode, it may need to reach a certain temperature condition, and it will explode if this threshold limit is exceeded, so the 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 shading area, that is, all the spatial coordinates contained in the spatial coordinate point define the planning variables of the regional coordinate space and the value domain of each planning variable. This method searches for the values ​​of the planning variables in a way that nodes represent variables and boundaries represent the constraint relationship between variables, until it tries to recursively find the coordinate solution that satisfies the planning constraint conditions corresponding to the critical threshold and outputs the regional spatial constraint graph, so that the spatial danger range constraints of each key exposure vulnerable point based on the premise of exposure safety are more accurate, thereby improving the accuracy and reliability of the holographic shading test of the awning.

[0027] It should be noted that the regional spatial constraint map is the exposure range between safety and danger for each key exposure vulnerable point. Finally, these regional spatial constraint maps are accurately positioned and fitted to the regional coordinate space where the target shading object is located in the fixed shading area. This method can be used to construct an exclusive shading exposure test area between safety and danger based on the exposure safety standards of different shading objects. By analyzing whether the light is reflected in the test area after being shielded, the performance test results of the awning can be obtained, ensuring the accuracy and reliability of the awning shading test for different shading objects.

[0028] More specifically, the step S106 includes the following steps: If the shading test result shows that the test equipment is unqualified, a hologram with a negotiation between the dynamic illumination range and the established shading test area is extracted during the holographic simulation process, which is defined as a negotiation model diagram; Determine whether the dynamic illumination 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 unqualified test device as a Class I test device; For a type of test equipment, an exposure safety range of a predetermined shading test area is preset based on the exposure safety information of the target shading object, and the exposure safety range is marked in a fixed shading area of ​​the outdoor electric awning device; The dynamic irradiation range is moved out of the fully covered position shown in the negotiation model diagram in the regional coordinate space of the fixed shading area until it is placed outside the exposure safety range, and at this time, the incident angle deviation rate and the light reflection wavelength deviation value between the dynamic irradiation range moving out of the original position of the negotiation model diagram and the termination position after elimination are obtained; A total reflection displacement formula is introduced, and the incident angle deviation and the light reflection wavelength deviation are calculated and solved by the total reflection displacement formula to obtain the displacement of the reflected light, which is defined as the necessary displacement of the reflected light; The necessary reflected light displacement is calculated through the stroke control principle of the outdoor electric awning equipment, and several benchmark stroke control quantities are obtained. The unqualified stroke control quantities when the dynamic illumination range completely covers the established shading test area are extracted, and the Cardinal curve method is introduced to perform performance curvature analysis on several benchmark stroke control quantities and unqualified stroke control quantities of a type of test equipment to obtain the first shading performance test result.

[0029] It should be noted that if the shading test result shows that the test equipment is unqualified, it means that the light shading performance of the awning equipment is not ideal, and the shading performance needs to be further analyzed, that is, by analyzing whether the dynamic illumination range reflected in the holographic negotiation model diagram completely covers the established shading test area. If there is a complete coverage phenomenon, it means that the equipment has an awning stroke control error after intelligent control, and the amplitude of this control error is the basis for judging the shading performance of the equipment. Therefore, it is necessary to further perform a performance analysis of the stroke control error after the intelligent control of the awning to evaluate the performance of the awning. Therefore, this method is aimed at this type of test equipment. By setting a range that will not cause the target shading object to be dangerous to use, that is, the exposure safety range, and moving the dynamic illumination range from the current fully covered position to outside the exposure safety range in the regional coordinate space of the fixed shading area, the purpose is to simulate the exposure phenomenon that does not cause light reflection to the target shading object after the awning stroke control error is corrected. Although the reflected light is displaced in the process of moving the dynamic illumination range outside the exposure safety range, it is actually the displaced reflected light that indirectly reflects the amount that the awning stroke control should correct. Therefore, by obtaining the incident angle deviation rate after the displacement and the light reflection wavelength deviation value, the displacement of the reflected light is calculated, that is, the necessary reflected light displacement, and then the reference stroke control amount of the awning after correction is further determined based on the necessary reflected light displacement. Then, the performance of the awning can be known by performing performance analysis with the actual unqualified stroke control amount. This method can be used to retrospectively calculate the performance error between the standard stroke control and the unqualified stroke control of the awning by simulating displacement to correct the reflected light from irradiating the test area, thereby reflecting the quality of the shading performance of the awning, achieving the test and analysis effect of the awning with stroke control error, and improving the pertinence and accuracy of the intelligent shading control optimization.

[0030] More specifically, the necessary reflected light displacement is calculated by the stroke control principle of the outdoor electric awning device, a number of reference stroke control quantities are obtained, and the unqualified stroke control quantities when the dynamic illumination 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 quantities and unqualified stroke control quantities of a type of test equipment to obtain the first shading performance test result, which specifically includes the following steps: Obtaining the stroke control principle of the outdoor electric awning device, determining the reference awning control stroke that moves the dynamic illumination range out until the phenomenon of completely covering the established shading test area is eliminated according to the necessary reflected light displacement, and calculating a number of stroke control amounts required for the outdoor electric awning device to execute the reference awning control stroke based on the stroke control principle, and marking them as reference stroke control amounts; Through the shading control response strategy, several travel control quantities when the dynamic illumination range completely covers the established shading test area in the negotiation model diagram are extracted and marked as unqualified travel control quantities. The Cardinal curve method is introduced, and the travel control points are set based on the preset timing. Based on the travel control points, several benchmark travel control quantities and several unqualified travel control quantities are fitted one by one in the Cardinal curve method. After the fitting is completed, the Cardinal curve of the unqualified stroke control amount is obtained and calibrated as the first Cardinal curve; and the Cardinal curve of the reference stroke control amount is obtained and calibrated as the second Cardinal curve; If the curvature of the first Cardinal curve is smaller than that of the second Cardinal curve, the test equipment is calibrated as a small error test equipment; if the curvature of the first Cardinal curve is larger than that of the second Cardinal curve, the test equipment is calibrated as a large error test equipment, and the first sunshade performance test result is obtained.

[0031] It should be noted that for the performance analysis of a type of test equipment, if the direct comparison or intermediate function calculation comparison of the traditional test method is used, this may cause large errors in the linear and time continuity comparison of several stroke control quantities for the sunshade stroke control, and there are many calculation steps, which is not conducive to the accurate positioning of the degree of shading performance of the awning. Therefore, this method provides a performance curvature comparison method based on the Cardinal curve method. Since the stroke control of the awning is based on the mechanical control principle of the awning itself, It is necessary to calculate several benchmark stroke control quantities required for the outdoor electric awning equipment to execute the benchmark awning control stroke derived from the necessary reflected light displacement based on the stroke control principle, so as to improve the linear correlation between the stroke control quantity analysis and the equipment itself; then use the Cardinal curve method to fit and draw these benchmark stroke control quantities and several unreasonable control quantities corresponding to the output when the dynamic illumination range completely covers the established shading test area after the awning executes the shading control response strategy in the holographic simulation test, so as to form 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. It can create a performance curve with precise curvature through a small number of data control points, so as to accurately display the error refinement expression effect of the shading stroke control and improve the accuracy of performance test judgment. Among them, if the curvature of the first Cardinal curve is smaller than the curvature of the second Cardinal curve, it means that the actual stroke control of the awning device has a smaller error range than the reference stroke control, or even so small that it can be ignored, so the test device of this type 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 the error range of its actual stroke control exceeds the preset error range compared with the reference stroke control, and the control accuracy error is large, so it is calibrated as a large error test device. This method can be used to perform error-refined stroke control performance analysis for each awning belonging to a type of test device, so as to provide an optimized metric trade-off for the subsequent control of this type of awning device, ensuring that the unreasonable phenomenon of awning intelligent control is eliminated to the greatest extent.

[0032] More specifically, the step S108 includes the following steps: If the dynamic illumination range in the negotiation model diagram does not completely cover the established shading test area, the outdoor electric awning device corresponding to the unqualified test device shall be marked as a Class II test device; For the second type of test equipment, the negotiation model area where the dynamic illumination range and the established shading test area are negotiated with each other in the negotiation model map is stripped out, and the voxel grid resolution is preset based on the regional spatial constraint map of each key exposure vulnerable point; Constructing a voxel segmentation domain based on the voxel grid resolution, mapping the negotiation model region to the voxel segmentation domain and counting the number of occupied cubic voxels to obtain the number of occupied cubic voxels, and multiplying the number of occupied cubic voxels by the voxel volume of each occupied cubic voxel to obtain the voxel volume value of the negotiation model region; Obtaining preset travel control parameters output by the shading control response strategy, constructing a linear regression model, performing regression calculation on the preset travel control parameters and the elimination control of the voxel volume value through the linear regression model to obtain a control regression coefficient, and determining 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 timing node on the preset timing, obtain the actual travel position when the outdoor electric awning device executes the shading control response strategy and reaches the termination timing node, and obtain the standard travel position that the outdoor electric awning device should reach when executing the shading control response strategy to the termination timing node; The response rate between the actual travel position and the standard travel position is calculated to obtain the actual shading response rate. If the actual shading response rate is greater than the unit shading response rate, the second type of test equipment is calibrated as a small error test equipment; if the actual shading response rate is less than the unit shading response rate, it is calibrated as a large error test equipment to obtain the second shading performance test result.

[0033] It should be noted that if the dynamic illumination range does not completely cover the established shading test area, it means that the device may have an overly sensitive shading response or a relatively slow response, resulting in an over-operation or under-reaching control error in the awning stroke after intelligent control, resulting in unreasonable shading angles, gaps and ranges on the awning fabric surface. Therefore, it is necessary to analyze the shading response of this type of awning equipment under stroke control to obtain the degree of its shading performance. In view of this, this method first obtains the model area in the negotiation diagram that reflects the negotiation between the two. Since the awning's shading response error causes the generation of the negotiation model area, this method completely eliminates the negotiation model area to calculate a unit shading response rate of the awning for the shading error, that is, the rate at which the awning responds at the same unit time interval. This is a judgment basis for rate analysis and represents the response criteria that need to be followed to eliminate errors. Among them, for the determination of the unit shading response rate, this method adopts the method of calculating the corresponding voxel volume value of the negotiation model area in the voxel segmentation field, and then uses the linear regression model to calculate the regression coefficient of the preset travel control parameter output by the shading control response strategy to eliminate the voxel volume value, and this regression coefficient is the final unit response rate. Then, according to a shading position that the awning should reach, that is, the standard travel position, and the actual shading response rate between the actual travel position are compared and analyzed. If the actual shading response rate is greater than the unit shading response rate, it means that the shading response performance of the second type of test equipment is high, the sensitivity is within a reasonable range, and no large response control error will be generated, so the second type of test equipment is calibrated as a small error test equipment; otherwise, it means that the response sensitivity of the second type of test equipment is too low, resulting in relatively poor shading response performance, so it is calibrated as a large error test equipment. Through this method, the shading response performance of the awning equipment after the preliminary test can be accurately analyzed, so that the degree of the shading performance of the awning can be known, which can make the subsequent optimization of such equipment more accurate and reliable.

[0034] In addition, the outdoor electric awning equipment testing method based on shading holographic simulation also includes the following steps: Obtain a future shading holographic simulation model of the area where the outdoor electric awning device is located at a preset future time node, and obtain future meteorological environment data of the area where the outdoor electric awning device is located and migration trend vectors and activity forms of each future meteorological environment data through the future shading holographic simulation model; Obtain meteorological environment knowledge graph based on big data network, identify the destructive intensity of each future meteorological environment data in the meteorological environment knowledge graph based on activity form, and output the destructive intensity level corresponding to each future meteorological environment data; Acquire material information of the awning fabric surface, and perform dangerous tension application calculation on the destructive intensity level of each future meteorological environment data based on the material information to obtain a critical interval of dangerous tension application of each future meteorological environment data to the awning fabric surface; Obtain the force-bearing space of the outdoor electric awning equipment, divide the force-bearing space into a number of grid units, introduce the point density method to analyze the migration trend vector, set the search radius of each future meteorological environment data, calculate the distribution density of the critical interval of dangerous tension application in each grid unit based on the search radius, and generate a dangerous tension distribution heat map of the force-bearing space after the future meteorological environment is applied; Constructing a finite element model of the current outdoor electric awning equipment through finite element analysis software, and extracting the actual tension distribution thermal threshold of the current awning fabric surface through the finite element model; If the actual tension distribution thermal threshold can be found in the dangerous tension distribution thermal map, the awning fabric surface where the actual tension distribution thermal threshold is located is marked as a dangerous tension fabric surface and a warning signal is issued, and the dangerous tension fabric surface is maintained and replaced.

[0035] It should be noted that this equipment is integrated with the tension monitoring function of the awning fabric, which can monitor the tension of the awning fabric in real time, so as to prevent damage or loosening caused by long-term shading operation and external forces of the meteorological environment, so that users can maintain and replace the awning according to the abnormal tension state. However, it is difficult to predict and analyze the tension effect exerted by existing shading equipment on future meteorological environments. For example, the equipment is unable to take maintenance measures in response to strong winds, resulting in the awning fabric being operated in a strong wind environment for a long time, which can easily cause damage and breakage of the fabric, greatly reducing the shading performance of the equipment and increasing the output of operation and maintenance costs. Therefore, this method can 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 imposed by the future meteorological environment on the awning fabric, and analyze whether the actual tension of the awning fabric reaches the dangerous tension in the form of a heat map. That is, if the actual tension distribution thermal threshold can be queried in the dangerous tension distribution heat map, it is marked as a dangerous tension fabric, and then an early warning signal is issued to warn users in advance to replace and maintain the awning fabric that cannot withstand the strong tension brought by the future meteorological environment, reduce damage to the awning equipment, and improve the shading performance of the awning.

[0036] In addition, the outdoor electric awning equipment testing method based on shading holographic simulation also includes the following steps: Obtaining user design requirements for an outdoor electric awning device, and analyzing and modeling the user design requirements through 3D design software to generate a user-customized model of the outdoor electric awning device; Acquire test data of an outdoor electric awning device, extract a number of shading effect test assessment indicators through the test data, and obtain an expected shading effect assessment threshold value of each shading effect test assessment indicator; Draw and construct a sunshade effect test and assessment radar chart according to each of the expected sunshade effect evaluation thresholds, and extract the sunshade effect compliance test radar area for the user's outdoor electric awning equipment through the sunshade effect test and assessment radar chart; Obtain the actual sunshade effect test radar area of ​​the user customized model, remove the radar area that overlaps between the sunshade effect standard test radar area and the actual sunshade effect test radar area in the sunshade effect test assessment radar map, and obtain the area value of the non-overlapping radar area; Acquire actual design parameters of the user-customized model in the 3D design software, introduce the Kendall rank correlation coefficient to calculate the correlation between the actual design parameters and the area value, and obtain multiple correlations; If the correlation degree is greater than the preset correlation degree, the actual design parameter corresponding to the correlation degree is extracted, marked as an unreasonable design parameter, and an unreasonable design parameter model is generated; Based on user design requirements, the design standards of each unreasonable design parameter are obtained, a standard design parameter model is constructed according to the design standards, a hash algorithm is introduced to calculate the hash function of the unreasonable design parameter model compared with the standard design parameter model, and the 3D design software is optimized for user design of outdoor electric awning equipment according to the hash function.

[0037] It should be noted that this awning device also has the function of personalizing and customizing the awning through the mobile phone 3D mapping software, which realizes the fast and efficient production of scene effect pictures to meet the use needs of different users for the awning device. 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, this method can test, evaluate and evaluate the shading effect of the customized model of the awning device designed by the 3D design software according to user needs, and trace the unreasonable design parameters of the test and evaluation, and accurately optimize and adjust them based on user design requirements, so that the customized shading effect of the awning device designed by the 3D design software can meet user expectations, reduce design errors, and greatly improve user satisfaction, so as to ensure that the function of this awning device can benefit from the needs of different user groups to the maximum extent, and has high reliability.

[0038] The second aspect of the present invention provides an outdoor electric awning equipment testing device based on shading holographic simulation, such as Figure 3As shown, the outdoor electric awning equipment testing device includes a memory 31 and a processor 32. The memory 31 stores an outdoor electric awning equipment testing method program based on shading holographic simulation. When the outdoor electric awning equipment testing method program is executed by the processor 32, any one of the outdoor electric awning equipment testing method steps is implemented.

[0039] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A test method for outdoor electric awning equipment based on shading holographic simulation, characterized in that: The following steps are involved: S102: Obtain the target shading site requirements of the outdoor electric awning device and the sensed light source environment data, perform phase encoding of two-dimensional sampling matrix mapping on the light source environment data based on the target shading site requirements, obtain a light source environment hologram, and interpolate the light source environment hologram into the environment simulation field of the target shading site to generate a shading holographic simulation model; S104: Performing a 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 to construct an octree model of light incidence, calculating the octree model through the shading control response strategy to obtain the dynamic illumination range of the reflected light, analyzing the established shading test area based on the dynamic illumination range, and obtaining a preliminary shading test result; S106: Perform negotiation coverage determination between 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, it is marked as a type 1 test device, and the performance of the unqualified stroke control amount under the shading control response strategy is compared with the benchmark stroke control amount required to eliminate the coverage of the dynamic illumination range, so as to obtain the first shading performance test result; S108: If the dynamic illumination range does not completely cover the established shading test area, it is marked as a Class II test device. At this time, the negotiation model area of ​​the negotiation model diagram is obtained, and the voxel volume value of the negotiation model area is calculated using the voxel grid. The shading response rates of the actual travel position and the standard travel position are analyzed based on the unit shading response rate under the voxel volume value elimination control regression to obtain the second shading performance test result.

2. The outdoor electric awning equipment testing method based on shading holographic simulation according to claim 1 is characterized in that: The step S102 specifically includes the following steps: Obtaining a target shading site requirement for an outdoor electric awning device, and presetting a reference wave type and a waveform phase vector of the reference wave type according to the target shading site requirement; Acquire a plurality of light source environment data sensed by the intelligent sensor of the outdoor electric awning device, construct a discrete two-dimensional sampling matrix of the target outdoor shading sunlight field, and map the plurality of light source environment data one by one into the discrete two-dimensional sampling matrix; The Fresnel diffraction formula is introduced in the mapping process. Based on the waveform phase vector, the interference between the light wave propagation and the reference wave type mapped to each light source environment data in the discretized two-dimensional sampling matrix is ​​calculated in the Fresnel diffraction formula to obtain the complex amplitude distribution of the light intensity. According to the complex amplitude distribution of the light intensity, a phase interference diagram of the light source environment where the outdoor electric awning device is located is constructed; Extracting phase information of the light source environment in which the outdoor electric awning device is located based on the phase interference pattern, and encoding and quantizing the phase information at multiple discrete levels through holographic simulation software to obtain a phase-encoded and quantized light source environment hologram; Obtain the preset sensing range of the smart sensor, construct the environmental simulation field of the target shading site based on the preset sensing range, and construct an interpolation function based on the light source environment data; Mapping the light source environment hologram to the environment simulation field, obtaining the light source environment data corresponding to each interpolation function in the light source environment hologram in the environment simulation field, defining it as holographic light source environment data, and establishing a radial basis equation group according to the holographic light source environment data; The radial basis equations are solved to obtain radial basis coefficient vectors, and each light source environment data of the light source environment hologram is interpolated into the environment simulation field through the radial basis coefficient vectors, and finally a shading holographic simulation model is generated.

3. The outdoor electric awning equipment testing method based on shading holographic simulation according to claim 1 is characterized in that: The step S104 specifically includes the following steps: Analyze and calculate the original design drawings of the outdoor electric awning equipment through holographic simulation software to build a holographic model of the outdoor electric awning equipment; The holographic model of the outdoor electric awning device is embedded in the shading holographic simulation model to perform holographic simulation shading, and at this time, 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 is extracted; According to the shading control response strategy, the dynamic opening and closing amplitude of the awning at the preset time sequence is obtained, and the preset folding angle of the double-folding rainproof structure of the awning is obtained. During the holographic simulation process, the target shading scene is divided into eight sub-boundary box areas, and an octree model of the light source incident is constructed based on the eight sub-boundary box areas; Starting from the incident starting point of the light, recursively check whether the bounding box of each tree node on the octree model intersects with the light. If not, skip the tree node; if intersecting, continue to check the branch nodes of the tree node; until all tree nodes on the octree model are traversed, the light direction and light normal vector when the incident light shines on the awning are obtained; The reflection direction between the light direction and the light normal vector is calculated based on the dynamic opening and closing amplitude and the preset folding angle to obtain the reflection direction of the incident light. According to the reflection direction, the reflected light after the incident light is irradiated on the awning is dynamically and recursively tracked to generate the dynamic irradiation range of the reflected light of the awning under the influence of the shading control response strategy conditions. Identify and obtain the key exposure vulnerable points of the target shading object and the corresponding vulnerable range and critical threshold of exposure damage, and constrain the planning of the regional spatial constraint map of each point in the fixed shading area based on the vulnerable range until the critical threshold is met, and obtain the target shading object in the established shading test area of ​​the outdoor electric awning equipment; If there is no mutual interaction between the dynamic illumination range and the established shading test area at the preset timing, the outdoor electric awning device is calibrated as a qualified test device; if there is no mutual interaction between the dynamic illumination range and the established shading test area at the preset timing, the outdoor electric awning device is calibrated as an unqualified test device, and a preliminary shading test result is obtained.

4. The outdoor electric awning equipment testing method based on shading holographic simulation according to claim 3 is characterized in that: The identification obtains the key exposure vulnerable points of the target shading object and the vulnerable range and critical threshold of the corresponding exposure damage, and constrains the planning of the regional spatial constraint map of each point in the fixed shading area based on the vulnerable range until the critical threshold is met, and obtains the target shading object in the established shading test area of ​​the outdoor electric awning device, specifically including the following steps: Obtaining a target shading object that is fully considered when designing an outdoor electric awning device, and obtaining exposure safety information of the target shading object, and retrieving and identifying one or more vulnerable positions of the target shading object in a big data network based on the exposure safety information, and defining them as key exposure vulnerable points; 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 the exposure damage, and at the same time obtain the original design drawings of the outdoor electric awning equipment and the spatial coordinate points of the target shading object located at the outdoor electric awning equipment; The regional coordinate space of the fixed shading area in the outdoor electric awning equipment is constructed through the design parameters in the original design drawings. The planning variables of the regional coordinate space and the value range of each planning variable are defined based on all the spatial coordinates contained in the vulnerable range at the spatial coordinate points. The constraints between adjacent planning variables are defined based on the critical threshold. The planning premise is set with planning variables as nodes and boundaries as constraints between adjacent planning variables. Based on the planning premise, each planning variable is assigned a value in the value domain one by one until a coordinate solution that satisfies the planning constraints is recursively tried to generate a regional spatial constraint diagram for each key exposure vulnerable point. Based on the spatial coordinate points, the regional spatial constraint map of each key exposure vulnerable point is positioned and fitted to the regional coordinate space of the fixed shading area one by one, and the target shading object is located in the established shading test area in the outdoor electric awning device.

5. The outdoor electric awning equipment testing method based on shading holographic simulation according to claim 1 is characterized in that: The step S106 specifically includes the following steps: If the preliminary shading test results show that the test equipment is unqualified, a hologram with a negotiation between the dynamic illumination range and the established shading test area is extracted during the holographic simulation process, which is defined as a negotiation model diagram; Determine whether the dynamic illumination 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 unqualified test device as a Class I test device; For a type of test equipment, an exposure safety range of a predetermined shading test area is preset based on the exposure safety information of the target shading object, and the exposure safety range is marked in a fixed shading area of ​​the outdoor electric awning device; The dynamic irradiation range is moved out of the fully covered position shown in the negotiation model diagram in the regional coordinate space of the fixed shading area until it is placed outside the exposure safety range, and at this time, the incident angle deviation rate and the light reflection wavelength deviation value between the dynamic irradiation range moving out of the original position of the negotiation model diagram and the termination position after elimination are obtained; A total reflection displacement formula is introduced, and the incident angle deviation and the light reflection wavelength deviation are calculated and solved by the total reflection displacement formula to obtain the displacement of the reflected light, which is defined as the necessary displacement of the reflected light; The necessary reflected light displacement is calculated through the stroke control principle of the outdoor electric awning equipment, and several benchmark stroke control quantities are obtained. The unqualified stroke control quantities when the dynamic illumination range completely covers the established shading test area are extracted, and the Cardinal curve method is introduced to perform performance curvature analysis on several benchmark stroke control quantities and unqualified stroke control quantities of a type of test equipment to obtain the first shading performance test result.

6. The outdoor electric awning equipment testing method based on shading holographic simulation according to claim 5 is characterized in that: The necessary reflected light displacement is calculated by the stroke control principle of the outdoor electric awning device, a number of reference stroke control quantities are obtained, and the unqualified stroke control quantity when the dynamic illumination range completely covers the established shading test area is extracted. The Cardinal curve method is introduced to perform performance curvature analysis on a number of reference stroke control quantities and unqualified stroke control quantities of a type of test equipment to obtain the first shading performance test result, which specifically includes the following steps: Obtaining the stroke control principle of the outdoor electric awning device, determining the reference awning control stroke that moves the dynamic illumination range out until the phenomenon of completely covering the established shading test area is eliminated according to the necessary reflected light displacement, and calculating a number of stroke control amounts required for the outdoor electric awning device to execute the reference awning control stroke based on the stroke control principle, and marking them as reference stroke control amounts; Through the shading control response strategy, several travel control quantities when the dynamic illumination range completely covers the established shading test area in the negotiation model diagram are extracted and marked as unqualified travel control quantities. The Cardinal curve method is introduced, and the travel control points are set based on the preset timing. Based on the travel control points, several benchmark travel control quantities and several unqualified travel control quantities are fitted one by one in the Cardinal curve method. After the fitting is completed, the Cardinal curve of the unqualified stroke control amount is obtained and calibrated as the first Cardinal curve; and the Cardinal curve of the reference stroke control amount is obtained and calibrated as the second Cardinal curve; If the curvature of the first Cardinal curve is smaller than that of the second Cardinal curve, the test equipment is calibrated as a small error test equipment; if the curvature of the first Cardinal curve is larger than that of the second Cardinal curve, the test equipment is calibrated as a large error test equipment, and the first sunshade performance test result is obtained.

7. The outdoor electric awning equipment testing method based on shading holographic simulation according to claim 1 is characterized in that: The step S108 specifically includes the following steps: If the dynamic illumination range in the negotiation model diagram does not completely cover the established shading test area, the outdoor electric awning device corresponding to the unqualified test device shall be marked as a Class II test device; For the second type of test equipment, the negotiation model area where the dynamic illumination range and the established shading test area are negotiated with each other in the negotiation model map is stripped out, and the voxel grid resolution is preset based on the regional spatial constraint map of each key exposure vulnerable point; Constructing a voxel segmentation domain based on the voxel grid resolution, mapping the negotiation model region to the voxel segmentation domain and counting the number of occupied cubic voxels to obtain the number of occupied cubic voxels, and multiplying the number of occupied cubic voxels by the voxel volume of each occupied cubic voxel to obtain the voxel volume value of the negotiation model region; Obtaining preset travel control parameters output by the shading control response strategy, constructing a linear regression model, performing regression calculation on the preset travel control parameters and the elimination control of the voxel volume value through the linear regression model to obtain a control regression coefficient, and determining 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 timing node on the preset timing, obtain the actual travel position when the outdoor electric awning device executes the shading control response strategy and reaches the termination timing node, and obtain the standard travel position that the outdoor electric awning device should reach when executing the shading control response strategy to the termination timing node; The response rate between the actual travel position and the standard travel position is calculated to obtain the actual shading response rate. If the actual shading response rate is greater than the unit shading response rate, the second type of test equipment is calibrated as a small error test equipment; if the actual shading response rate is less than the unit shading response rate, it is calibrated as a large error test equipment to obtain the second shading performance test result.

8. An outdoor electric awning equipment testing device based on shading holographic simulation, characterized in that: The outdoor electric awning equipment testing device includes a memory and a processor, and the memory stores an outdoor electric awning equipment testing method program based on shading holographic simulation. When the outdoor electric awning equipment testing method program is executed by the processor, the outdoor electric awning equipment testing method steps as described in any one of claims 1-7 are implemented.

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