Multi-dimensional indoor light source simulation device for environmental art design

Abstract

The invention relates to the technical field of indoor light sources, in particular to a multi-dimensional indoor light source simulation device for environmental art design, and the device comprises an energy storage device which is used for storing recycled electric energy; the sensor group is used for collecting exhibition environment data, and the camera group is used for collecting the exhibition environment data; the photodiode is used for converting light energy into electric energy to obtain recycled electric energy; the lampshade is used for scattering light emitted by the LED lamp; the LED lamp comprises a cold white light LED and a warm white light LED and is used for emitting light; the triangular reflection type laser distance measuring sensor is used for collecting exhibition environment data; and the control assembly is used for controlling the multi-dimensional indoor light source simulation device. The artistic light effect, the accuracy and the energy-saving and environment-friendly efficiency of the environment artistic light source are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of indoor light sources, and particularly to a multi-dimensional indoor light source simulation device for environmental art design. Background Art

[0002] Existing simulated light source devices lack the ability to automatically adjust the light source according to environmental changes. Whether it is the change in the intensity of natural light or the movement of people in the simulated scene, the device cannot make an intelligent response, and the technology of light energy recovery and reuse is lacking. During the simulation of indoor light sources, existing devices fail to effectively recover and reuse this part of light energy.

[0003] Chinese Patent Publication No.: CN105674088A discloses an art lighting fixture, including a heat dissipation plate, a support frame, an LED assembly, an installation sphere, and a circuit assembly. The support frame includes a plurality of support torsion pieces, and the edges of the heat dissipation plate are respectively connected to the middle positions of each support torsion piece. The LED assembly includes an installation tube body, a light rendering tube body, and an LED module. The first end of the installation tube body is disposed on the heat dissipation plate, the second end of the installation tube body is connected to the first end of the light rendering tube body, the installation tube body is hollow, the LED module is disposed on the heat dissipation plate, and the LED module is accommodated inside the installation tube body. The LED module includes a plurality of LED lamp beads, and the plurality of LED lamp beads are disposed on the heat dissipation plate and are accommodated inside the installation tube body. The installation sphere is connected to the second end of the light rendering tube body. However, this solution is difficult to improve the artistic light effect, accuracy, and energy conservation and environmental protection efficiency of environmental art light sources, and this solution cannot adapt to complex personnel environments such as environmental art exhibitions, and cannot avoid the problem of poor light source simulation effect caused by environmental factors and the entry and exit of complex personnel. Summary of the Invention

[0004] Therefore, the present invention provides a multi-dimensional indoor light source simulation device for environmental art design to overcome the problems in the prior art, such as poor artistic light effect, low accuracy, high energy consumption for achieving the required light effect in public places, inability to adapt to complex personnel environments such as environmental art exhibitions, and inability to avoid the problem of poor light source simulation effect caused by environmental factors and the entry and exit of complex personnel.

[0005] To achieve the above object, the present invention provides a multi-dimensional indoor light source simulation device for environmental art design, and the device includes: An energy storage device, which is connected to the control component, and a sensor group and a camera group are provided at one end close to the control component, and it is used for storing the recovered electric energy; A sensor group, which is installed at one end of the energy storage device close to the control component, and it is used for collecting exhibition environment data, A camera group, which is installed at one end of the energy storage device close to the control component, and it is used for collecting exhibition environment data; A photodiode is installed at one end of the lamp shade away from the control component and is used to convert light energy into electrical energy to obtain recycled electrical energy. The lamp shade is connected to the control component and is used to scatter the light emitted by the LED lamp. The LED lamp is installed at one end of the lamp shade away from the control component and includes a cool white LED and a warm white LED and is used to emit light. A triangular reflection laser ranging sensor is installed at one end of the lamp shade away from the control component and is used to collect exhibition environment data. The control component has one end connected to the energy storage device and its end away from the energy storage device is connected to the lamp shade and is used to control the multi-dimensional indoor light source simulation device.

[0006] Furthermore, the control component includes: A data acquisition unit for collecting exhibition environment data. An environment perception unit for constructing a three-dimensional exhibition space map based on the exhibition environment data. A simulation analysis unit for dividing the exhibition brightness intervals in the three-dimensional exhibition space map according to the exhibition environment data, adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the division result, controlling the multi-dimensional indoor light source simulation device according to the adjustment result, further optimizing the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the exhibition environment data, further correcting the process of optimizing and adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval, mapping the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval to the recommended color temperature, generating a PWM control signal, controlling the multi-dimensional indoor light source simulation device according to the PWM control signal, and updating the process of generating the PWM control signal according to the exhibition environment data. A simulation monitoring unit for calculating the illuminance and outputting the lighting strategy according to the illuminance, and further correcting the process of calculating the illuminance. An energy recovery unit for controlling the photodiode according to the exhibition environment data.

[0007] Further, when the environmental perception unit constructs the exhibition three-dimensional space map according to the exhibition environment data, the convolutional neural network model is trained based on the image-name data set. The shallow network of the convolutional kernel of the convolutional neural network model is set to 8, the deep network is set to 256, the image-name data set is divided into 70% of the picture name training set, 15% of the picture name validation set, and 15% of the picture name test set. The convolutional neural network model is trained according to the picture name training set to obtain the trained convolutional neural network model. The parameters of the trained convolutional neural network model are optimized according to the picture name validation set to obtain the optimized convolutional neural network model. The optimized convolutional neural network model is tested according to the picture name test set to obtain the picture name correct rate Tm. The picture name correct rate Tm is compared with the preset picture name accuracy rate Tm0, and the training situation of the optimized convolutional neural network model is judged according to the comparison result and output according to the judgment result, where: When Tm≥Tm0, it is determined that the training situation of the optimized convolutional neural network model is up to standard, and the optimized convolutional neural network model is output as the picture name recognition model; When Tm<Tm0, it is determined that the training situation of the optimized convolutional neural network model is not up to standard, and the optimized convolutional neural network model is retrained until the training situation of the optimized convolutional neural network model is up to standard; When the environmental perception unit constructs the exhibition three-dimensional space map according to the exhibition environment data, the image of the object around the multi-dimensional indoor light source simulation device is recognized through the picture name recognition model to obtain the image recognition result. On the three-dimensional space map, starting from the multi-dimensional indoor light source simulation device, the position where the object around the multi-dimensional indoor light source simulation device is located is set as the end point, and the distance between the object around the multi-dimensional indoor light source simulation device and the multi-dimensional indoor light source simulation device is obtained. The image recognition result of the object around the multi-dimensional indoor light source simulation device is marked at the end point to obtain the exhibition three-dimensional space map.

[0008] Further, when the simulation analysis unit adjusts the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval, the environmental brightness value L in each exhibition brightness interval is compared with the preset brightness range value, and each exhibition brightness interval is divided according to the comparison result, and the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval is adjusted according to the division result, where: The preset brightness range value includes the lowest brightness 0, the highest brightness Lmax, the low transition brightness L1, and the high transition brightness L2, where L1 = 0.2Lmax and L2 = 0.8Lmax When \(0\leq L\leq L_1\), the exhibition brightness interval is divided into a low exhibition brightness interval, and the brightness of the multi-dimensional indoor light source simulation device in this low exhibition brightness interval is set as \(y_{min}\), \(y_{min}=a\ln(x_{min}+b)\), where \(x_{min}\) is the environmental brightness value in the low exhibition brightness interval, and \(a\) and \(b\) are the brightness adjustment coefficients in the low exhibition brightness interval; When \(L_1\lt L\lt L_2\), the exhibition brightness interval is divided into a transition interval, and the brightness of the multi-dimensional indoor light source simulation device in this transition interval is set as \(y_{med}\), \(y_{med}=f(t)\times y_{linear}+(1 - f(t))\times y_{nonlinear}\), where \(y_{linear}\) is the output of the low exhibition brightness interval at \(x_{med}\), \(y_{linear}=a\times\ln(x_{med}+b)\), \(y_{nonlinear}\) is the output of the high exhibition brightness interval at \(x_{med}\), \(y_{nonlinear}=m\times x_{med}+c\), \(x_{med}\) is the environmental brightness value in this transition interval, and \(f(t)\) is the transition function, , \(t\) is the transition parameter, ; When \(L_2\leq L\leq L_{max}\), the exhibition brightness interval is divided into a high exhibition brightness interval, and the brightness of the multi-dimensional indoor light source simulation device in this high exhibition brightness interval is set as \(y_{max}\), \(y_{max}=m\times x_{max}+c\), where \(x_{max}\) is the environmental brightness value in this high exhibition brightness interval, \(m\) is the sensitivity, and \(c\) is the brightness offset; When the simulation analysis unit controls the multi-dimensional indoor light source simulation device, it maps the brightness \(y_{min}\) of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval, the brightness \(y_{med}\) of the multi-dimensional indoor light source simulation device in the transition interval, and the brightness \(y_{max}\) of the multi-dimensional indoor light source simulation device in the high exhibition brightness interval to the PWM duty cycle range, and controls the multi-dimensional indoor light source simulation device according to the mapping result.

[0009] Furthermore, when the simulation analysis unit optimizes the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval, it converts the environmental image into an environmental grayscale image, obtains the grayscale value \(H\) in the environmental grayscale image, and when \(0\leq H\leq63\), marks the grayscale value \(H\) in this environmental grayscale image as the low grayscale value \(H_{min}\), obtains the number \(Q_0\) of environmental grayscale image samples and the number \(Q\) of low grayscale values \(H_{min}\), calculates the frequency \(A\) of the appearance of the low grayscale value \(H_{min}\), \(A = Q / Q_0\), compares the frequency \(A\) of the appearance of the low grayscale value \(H_{min}\) with the preset frequency \(A_0\), judges the compliance of the environmental clarity according to the comparison result, and optimizes the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the judgment result, where: When A ≤ A0, it is determined that the environmental clarity meets the standard, and the process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval is not optimized; When A > A0, it is determined that the environmental clarity does not meet the standard, and the process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval is optimized. The brightness of the multi-dimensional indoor light source simulation device in the optimized low exhibition brightness interval is set as yamin, yamin = β × ymin, the brightness of the multi-dimensional indoor light source simulation device in the optimized transition interval is yamed, yamed = β × ymed, and the brightness of the multi-dimensional indoor light source simulation device in the optimized high exhibition brightness interval is yamax, yamax = β × ymax. β is the optimization coefficient, β = 1.58 - 0.4e -0.7×（A-A0） .

[0010] Furthermore, the simulation analysis unit obtains the light reflection intensity index B of the target object according to the image recognition result, compares the light reflection intensity index B of the target object with the preset light reflection intensity index B0 of the object, judges the effectiveness of the high or low situation of the environmental clarity according to the comparison result, and corrects the compliance situation of the environmental clarity according to the judgment result, where; When B > B0, it is determined that the effectiveness of the compliance situation of the environmental clarity meets the standard, and the compliance situation of the environmental clarity is not corrected; When B ≤ B0, it is determined that the effectiveness of the compliance situation of the environmental clarity does not meet the standard, and the compliance situation of the environmental clarity is corrected to the situation where the environmental clarity does not meet the standard, and the process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval is optimized according to the corrected compliance situation of the environmental clarity.

[0011] Furthermore, when the simulation analysis unit maps the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval to the recommended color temperature, according to the color temperature mapping rule | the brightness y of the multi-dimensional indoor light source simulation device for each exhibition brightness interval | the recommended color temperature s | the brightness y of the multi-dimensional indoor light source simulation device for each exhibition brightness interval is mapped to the recommended color temperature s, where: The brightness y of the multi-dimensional indoor light source simulation device for each exhibition brightness interval includes the brightness yamin of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval, the brightness yamed of the multi-dimensional indoor light source simulation device in the transition interval, and the brightness yamax of the multi-dimensional indoor light source simulation device in the high exhibition brightness interval; The color temperature mapping rule is: When 0% ≤ y < 10%, the recommended color temperature s = 2700K; When 10% ≤ y < 30%, the recommended color temperature s = 3000K; When 30% ≤ y < 60%, the recommended color temperature s = 4000K; When 60% ≤ y < 80%, the recommended color temperature s = 5000K; When 80% ≤ y ≤ 100%, the recommended color temperature s = 6500K; When the simulation analysis unit generates a PWM control signal and controls the multi-dimensional indoor light source simulation device according to the PWM control signal, it obtains the recommended color temperature coordinates (xt, yt) of the recommended color temperature s in the chromaticity coordinate table according to the recommended color temperature s and the chromaticity coordinate table, and obtains the coordinate values (xw, yw) and (xc, yc) of the warm white LED and the cold white LED on the CIE1931 chromaticity diagram, where (xw, yw) is the coordinate value of the warm white LED on the CIE1931 chromaticity diagram, and (xc, yc) is the coordinate value of the cold white LED on the CIE1931 chromaticity diagram. A linear equation system is established based on the recommended color temperature coordinates (xt, yt) of the recommended color temperature s in the chromaticity coordinate table, the coordinate values (xw, yw) of the warm white LED on the CIE1931 chromaticity diagram, the coordinate values (xc, yc) of the cold white LED on the CIE1931 chromaticity diagram, the drive current Iw of the warm white LED, and the drive current Ic of the cold white LED and calculates the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cold white LED from this linear equation system , , according to the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cold white LED generate a PWM control signal, and the simulation analysis unit controls the multi-dimensional indoor light source simulation device according to the PWM control signal.

[0012] Further, when the simulation analysis unit updates the process of generating the PWM control signal according to the exhibition environment data, it compares the environmental background and object color similarity index C with the preset similarity index C0, judges the level of similarity between the environmental background and the object color according to the comparison result, and adjusts the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cold white LED for updating, where: When C ≤ C0, it is determined that the similarity between the environmental background and the object color is low similarity, and the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cold white LED is not updated; When C > C0, it is determined that the similarity between the environmental background and the object color is high similarity, and the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cold white LED Update is performed. Set the total current before update as Iwc, Iwc = Iw + Ic. The driving current of the updated cold white LED is Ic0, Ic0 = 1.62×Ic. The driving current of the updated warm white LED is Iw0, Iw0 = Iwc - Ic0.

[0013] Furthermore, when the analog monitoring unit calculates the illuminance, it obtains the brightness range ys of the multi-dimensional indoor light source simulation device, ys = (yamin, yamax), and the recommended color temperature range sy, sy = (smin, smax) according to the brightness yamin of the multi-dimensional indoor light source simulation device in the low exhibition brightness range, the brightness yamax of the multi-dimensional indoor light source simulation device in the high exhibition brightness range, and the color temperature mapping rule. And according to the brightness normalization formula and the color temperature normalization formula normalize the brightness range ys and the recommended color temperature range sy, where yn is the value after brightness normalization, sn is the value after color temperature normalization, smin is the lowest recommended color temperature, and smax is the highest recommended color temperature; When the analog monitoring unit calculates the illuminance, it also calculates the illuminance Z according to the value yn after brightness normalization and the value sn after color temperature normalization. Set Z = w1×yn + w2×sn, where w1 is the brightness weight and w2 is the color temperature weight; When the analog monitoring unit outputs according to the illuminance based on the lighting strategy, it also compares the illuminance Z with the preset first illuminance Z1 and the preset second illuminance Z2, judges the lighting effect level of the illuminance according to the comparison result, and outputs the lighting strategy according to the judgment result, where: When Z≥Z2, it is determined that the lighting effect level of the illuminance is the first lighting effect level, and the first lighting strategy is output as the lighting strategy; When Z1≤Z<Z2, it is determined that the lighting effect level of the illuminance is the second lighting effect level, and the second lighting strategy is output as the lighting strategy; When Z1>Z, it is determined that the lighting effect level of the illuminance is the third lighting effect level, and the third lighting strategy is output as the lighting strategy; When the analog monitoring unit corrects the process of calculating the illuminance, it calculates the brightness difference Δy according to the value yn after brightness normalization and the preset value yn0 after brightness normalization. Set , compare the brightness difference Δy with the preset brightness difference Δy0, judge the validity of the value yn after brightness normalization according to the comparison result, and correct the value yn after brightness normalization according to the judgment result, where: When Δy≤Δy0, it is determined that the validity of the value yn after brightness normalization is valid, and the value yn after brightness normalization is not corrected; When Δy > Δy0, it is determined that the effective situation of the value yn after brightness normalization is invalid, and the value yn after brightness normalization is corrected. The corrected value of the brightness after normalization is set as yj, and yj = Δy × w1 × yn; When the analog monitoring unit corrects the process of calculating the illuminance, it also calculates the color temperature difference value Δs based on the value sn after color temperature normalization and the preset value sn0 of the color temperature normalization, and sets , compares the color temperature difference value Δs with the preset color temperature difference value Δs0, judges the effective situation of the value sn after color temperature normalization according to the comparison result, and corrects the value sn after color temperature normalization according to the judgment result, where: When Δs ≤ Δs0, it is determined that the effective situation of the value sn after color temperature normalization is effective, and the value sn after color temperature normalization is not corrected; When Δs > Δs0, it is determined that the effective situation of the value sn after color temperature normalization is invalid, and the value sn after color temperature normalization is corrected. The corrected value of the color temperature after normalization is set as sj, and sj = Δs × w2 × sn.

[0014] Furthermore, when the energy recovery unit controls the photodiode according to the exhibition environment data, it compares the indoor real-time brightness R with the preset indoor real-time brightness R0, judges the energy overflow situation according to the comparison result, and controls the photodiode according to the judgment result, where: When R ≤ R0, it is determined that the energy overflow situation is non-overflow, and the photodiode is controlled to turn off; When R > R0, it is determined that the energy overflow situation is overflow, and the photodiode is controlled to turn on.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows. The device collects exhibition environment data through a sensor group, a camera group, and a laser range finder, and after analyzing the exhibition environment data through a control component, drives the LED lights to adjust the light-emitting parameters, and combines the scattering of the lamp shade to achieve an artistic light effect. The device also recovers redundant light energy through a photodiode and stores it in an energy storage device to form a closed-loop energy cycle, so as to achieve the functions of adaptive adjustment and green energy conservation, thereby providing an intelligent device for indoor environmental art. In particular, the device stores the electric energy recovered by the photodiode through the energy storage device, reduces the dependence on external power sources, and reduces the long-term use cost. The device collects exhibition environment data through a sensor group, a camera group, and a triangular reflection laser range finder to facilitate the accurate analysis of the environmental state, thereby ensuring the data reliability in complex scenarios, avoiding environmental and complex personnel entry and exit factors, and improving the light source simulation effect. The device recovers redundant light energy through a photodiode, thereby improving the efficiency of energy conservation and environmental protection. The device optimizes the light effect through the lamp shade and the LED lights, thereby improving the effect of the artistic light effect. The device analyzes the exhibition environment data through a control component to facilitate the intelligent management of the device, thereby improving the adaptability and accuracy of the device, and enabling the multi-dimensional indoor light source simulation device to adapt to complex personnel environments such as environmental art exhibitions.

[0016] In particular, the control component achieves full - range data coverage through the data acquisition unit by using the combination of the sensor group 2, the camera group 3, and the laser rangefinder 7 to improve the accuracy and comprehensiveness of the data. The control component uses a convolutional neural network model through the environmental perception unit to facilitate the accurate recognition of images of objects around the multi - dimensional indoor light source simulation device, thereby improving the accuracy of image recognition. By marking the recognition results on the three - dimensional space map, it provides an important basis for subsequent environmental analysis and decision - making. The control component dynamically adjusts and optimizes the brightness of the multi - dimensional indoor light source simulation device in each exhibition brightness interval through the simulation analysis unit to achieve precise and efficient light source control. The control component realizes quantitative clarity through the closed - loop control process of environmental gray - scale analysis, brightness dynamic optimization, and reflection intensity correction by the simulation analysis unit, eliminates interference factors, and raises the performance ceiling of the multi - dimensional indoor light source simulation device in complex environments, thereby enhancing the system's adaptability, accuracy, and reliability. The control component performs brightness - color temperature mapping through the simulation analysis unit to flexibly adapt to different lighting requirements, improve the performance and stability of the lighting system, and thus enhance the usability and practicality of the multi - dimensional indoor light source simulation device. The control component optimizes the lighting performance and ensures lighting stability through the intelligent adjustment mechanism based on the similarity between the environmental background and object colors by the simulation analysis unit. The control component quantifies lighting parameters, comprehensively considers brightness and color temperature factors, and outputs lighting strategies based on illuminance grading through the simulation monitoring unit to enhance the adaptability and intelligence level of the lighting system. The control component corrects the normalized values of brightness and color temperature through the simulation monitoring unit to further improve data accuracy, optimize illuminance evaluation, enhance calculation robustness, and improve the accuracy of lighting strategy output, thereby further improving the reliability and efficiency of the multi - dimensional indoor light source simulation device. The control component precisely controls the on - off of the photodiode through the energy recovery unit to achieve efficient energy recovery, extend the equipment life, improve indoor lighting quality, and save energy and protect the environment, further enhancing the economy and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic structural diagram of the multi - dimensional indoor light source simulation device for environmental art design in this embodiment; Figure 2 It is a schematic structural diagram of the control component in this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] In order to make the objectives and advantages of the present invention clearer and more understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0020] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or component must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0021] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] Please refer to Figure 1 As shown, it is a schematic structural diagram of a multi-dimensional indoor light source simulation device for environmental art design in this embodiment. The device includes: A storage battery 1, which is connected to a control component 8. A sensor group 2 and a camera group 3 are provided at one end of the storage battery 1 close to the control component 8, and it is used to store the recovered electric energy; The sensor group 2 is installed at one end of the storage battery 1 close to the control component 8, and it is used to collect exhibition environment data. The camera group 3 is installed at one end of the storage battery 1 close to the control component 8, and it is used to collect exhibition environment data; A photodiode 4 is installed at one end of the lamp shade 5 far from the control component 8, and it is used to convert light energy into electric energy to obtain recovered electric energy; The lamp shade 5 is connected to the control component 8, and it is used to scatter the light emitted by the LED lamp; The LED lamp 6 is installed at one end of the lamp shade 5 far from the control component 8, and it includes a cold white light LED and a warm white light LED, and it is used to emit light; A triangular reflection type laser range finder 7 is installed at one end of the lamp shade 5 far from the control component 8, and it is used to collect exhibition environment data; The control component 8 is connected to the storage battery 1 at one end, and is connected to the lamp shade 5 at the end far from the storage battery 1. It is provided with a control module for controlling the multi-dimensional indoor light source simulation device.

[0023] Specifically, the device is applied to an open exhibition environment for indoor environmental art design, and is used to provide simulated light effects for the open exhibition environment. The device collects exhibition environment data through a sensor group, a camera group, and a laser range finder, and drives the LED lights to adjust the light-emitting parameters after analyzing the exhibition environment data through a control component. Combined with the scattering of the lampshade, an artistic light effect is achieved. The device also recovers redundant light energy through a photodiode and stores it in an energy storage device to form a closed-loop energy cycle, so as to achieve the functions of adaptive adjustment and green energy conservation, thereby providing an intelligent device for indoor environmental art. In particular, the device stores the electric energy recovered by the photodiode through the energy storage device, reduces the dependence on external power sources, and reduces the long-term use cost. The device collects exhibition environment data through a sensor group, a camera group, and a triangular reflection laser range finder to accurately analyze the environmental state, so as to ensure the data reliability in complex scenarios, avoid environmental and complex personnel entry and exit factors, and improve the light source simulation effect. The device recovers redundant light energy through a photodiode, thereby improving the efficiency of energy conservation and environmental protection. The device optimizes the light effect through the lampshade and the LED lights, thereby improving the effect of the artistic light effect. The device analyzes the exhibition environment data through a control component to facilitate the intelligent management of the device, thereby improving the adaptability and accuracy of the device, so that the multi-dimensional indoor light source simulation device can adapt to complex personnel environments such as environmental art exhibitions.

[0024] Please refer to Figure 2 as shown in the figure, which is a schematic structural diagram of the control component of this embodiment. The control component includes: A data acquisition unit for collecting exhibition environment data; An environmental perception unit for constructing a three-dimensional map of the exhibition based on the exhibition environment data. The environmental perception unit is connected to the data acquisition unit; A simulation analysis unit for dividing the exhibition brightness range in the three-dimensional map of the exhibition according to the exhibition environment data, adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness range according to the division result, and controlling the multi-dimensional indoor light source simulation device according to the adjustment result. It is also used to optimize the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness range according to the exhibition environment data, and to correct the process of optimizing and adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness range. It is also used to map the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness range to the recommended color temperature, generate a PWM control signal, and control the multi-dimensional indoor light source simulation device according to the PWM control signal. It is also used to update the process of generating the PWM control signal according to the exhibition environment data. The simulation analysis unit is connected to the environmental perception unit; The simulation monitoring unit is used to calculate against the brightness, output the lighting strategy according to the illuminance, and also used to correct the process of calculating the illuminance. The simulation monitoring unit is connected to the simulation analysis unit; The energy recovery unit is used to control the photodiode according to the exhibition environment data. The energy recovery unit is connected to the data acquisition unit.

[0025] Specifically, the control component is applied to the multi-dimensional indoor light source simulation device. The control component uses the combination of the sensor group 2, the camera group 3 and the laser rangefinder 7 through the data acquisition unit to achieve full-range data coverage, so as to improve the accuracy and comprehensiveness of the data. The control component uses the convolutional neural network model through the environment perception unit to facilitate the accurate recognition of the images of the objects around the multi-dimensional indoor light source simulation device, thereby improving the accuracy of image recognition, and by marking the recognition results on the three-dimensional space map, so as to provide an important basis for subsequent environmental analysis and decision-making. The control component dynamically adjusts and optimizes the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval through the simulation analysis unit to achieve precise and efficient light source control. The control component realizes quantitative clarity through the closed-loop control process of environmental gray analysis, brightness dynamic optimization and reflection intensity correction through the simulation analysis unit, eliminates interference factors and raises the performance upper limit of the multi-dimensional indoor light source simulation device in complex environments, thereby enhancing the adaptability, accuracy and reliability of the system. The control component performs brightness-color temperature mapping through the simulation analysis unit to flexibly adapt to different lighting requirements and improve the performance and stability of the lighting system, thereby enhancing the usability and practicality of the multi-dimensional indoor light source simulation device. The control component optimizes the lighting performance and ensures the lighting stability through the intelligent adjustment mechanism based on the similarity between the environmental background and the object color through the simulation analysis unit. The control component quantifies the lighting parameters, comprehensively considers the brightness and color temperature factors, and outputs the lighting strategy based on the illuminance grading through the simulation monitoring unit, thereby enhancing the adaptability and intelligent level of the lighting system. The control component corrects the normalized values of the brightness and color temperature through the simulation monitoring unit to further improve the data accuracy, optimize the illuminance evaluation, enhance the calculation robustness and improve the accuracy of the lighting strategy output, thereby further improving the reliability and efficiency of the multi-dimensional indoor light source simulation device. The control component precisely controls the opening and closing of the photodiode through the energy recovery unit to achieve efficient energy recovery, extend the equipment life, improve the indoor lighting quality and environmental protection and energy saving, and further improve the economy and reliability of the system.

[0026] Specifically, the data acquisition unit collects exhibition environment data through the sensor group 2, the camera group 3, and the triangulation laser range finder 7. The exhibition environment data includes: images of objects around the multi-dimensional indoor light source simulation device, the distances between the objects around the multi-dimensional indoor light source simulation device and the multi-dimensional indoor light source simulation device, the environmental brightness values of each exhibition brightness interval, environmental images, and the real-time indoor brightness.

[0027] Specifically, the sensor group 2 refers to sensors used to collect exhibition environment data, such as light intensity sensors and temperature and humidity sensors. The camera group 3 refers to cameras used to collect exhibition environment data, such as RGB cameras, depth cameras, and high-definition cameras. The triangulation laser range finder 7 refers to a non-contact ranging device used to collect exhibition environment data. The images of objects around the multi-dimensional indoor light source simulation device refer to images used to identify objects. The distances between the objects around the multi-dimensional indoor light source simulation device and the multi-dimensional indoor light source simulation device refer to the distances measured by the triangulation laser range finder. The environmental brightness values of each exhibition brightness interval refer to the brightness values of the environments in each exhibition brightness interval. The environmental images refer to the images of the environment where the multi-dimensional indoor light source simulation device is located. The real-time indoor brightness refers to the real-time brightness of the environment where the multi-dimensional indoor light source simulation device is located. The multi-dimensional indoor light source simulation device refers to the multi-dimensional indoor light source simulation device for environmental art design in this embodiment.

[0028] Specifically, the data acquisition unit realizes full-range data coverage through the combination of the sensor group 2, the camera group 3, and the laser range finder 7 to improve the accuracy and comprehensiveness of the data.

[0029] Specifically, when the environment perception unit constructs the exhibition three-dimensional space map based on the exhibition environment data, it trains the convolutional neural network model according to the image-name data set. The number of convolutional kernels in the shallow layer network of the convolutional neural network model is set to 8, and the number in the deep layer network is set to 256. The image-name data set is divided into a 70% image-name training set, a 15% image-name validation set, and a 15% image-name test set. It trains the convolutional neural network model according to the image-name training set to obtain the trained convolutional neural network model. It optimizes the parameters of the trained convolutional neural network model according to the image-name validation set to obtain the optimized convolutional neural network model. It tests the optimized convolutional neural network model according to the image-name test set to obtain the image-name correct rate Tm. It compares the image-name correct rate Tm with the preset image-name accuracy rate Tm0, judges the training situation of the optimized convolutional neural network model according to the comparison result, and outputs according to the judgment result, where: When Tm ≥ Tm0, it is determined that the training of the optimized convolutional neural network model is qualified, and the optimized convolutional neural network model is output as the picture name recognition model; When Tm < Tm0, it is determined that the training of the optimized convolutional neural network model is unqualified, and the optimized convolutional neural network model is retrained until the training of the optimized convolutional neural network model is qualified; When constructing the exhibition three-dimensional space map according to the exhibition environment data, the environment perception unit uses the picture name recognition model to identify the images of the objects around the multi-dimensional indoor light source simulation device, obtains the image recognition result. On the three-dimensional space map, with the multi-dimensional indoor light source simulation device as the starting point, the positions of the objects around the multi-dimensional indoor light source simulation device are set as the end points, the distances between the objects around the multi-dimensional indoor light source simulation device and the multi-dimensional indoor light source simulation device are obtained, and the image recognition results of the objects around the multi-dimensional indoor light source simulation device are marked at the end points to obtain the exhibition three-dimensional space map.

[0030] Specifically, the image-name data group refers to the data group composed of the images of the objects around the multi-dimensional indoor light source simulation device and the object names corresponding to the images of the objects around the multi-dimensional indoor light source simulation device. In this embodiment, the acquisition method of the image-name data group is not limited. For example, the image-name data group can be obtained through big data. The convolutional neural network model refers to a deep learning model for processing data with a grid structure. The convolutional kernel shallow network refers to the convolutional layer at the relatively front layer of the network in the convolutional neural network model. The deep network refers to the relatively later layer in the convolutional neural network model. The picture name training set refers to the data set used to train the convolutional neural network model. The picture name validation set refers to the data set used to evaluate and validate the trained convolutional neural network model. The picture name test set refers to the data set used to test the optimized convolutional neural network model. The picture name correct rate Tm refers to the proportion of the number of images whose names are correctly recognized by the convolutional neural network model to the total number of images in the test set. The preset picture name accuracy rate Tm0 refers to the value preset for judging whether the training of the optimized convolutional neural network model is qualified. For example, the preset picture name accuracy rate Tm0 = 95%. The three-dimensional space map refers to the map that displays environmental information in the three dimensions of length, width, and height. The positions of the objects around the multi-dimensional indoor light source simulation device refer to the specific coordinate positions of the surrounding objects in the three-dimensional space within the spatial range with the multi-dimensional indoor light source simulation device as the reference point. The multi-dimensional indoor light source simulation device refers to the multi-dimensional indoor light source simulation device for environmental art design.

[0031] Specifically, the environmental perception unit uses a convolutional neural network model to accurately identify images of objects around the multi-dimensional indoor light source simulation device, thereby improving the accuracy of image recognition. By annotating the recognition results on a three-dimensional space map, it provides an important basis for subsequent environmental analysis and decision-making.

[0032] Specifically, when the simulation and analysis unit adjusts the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval, it compares the environmental brightness value L of each exhibition brightness interval with the preset brightness range value, divides each exhibition brightness interval according to the comparison result, and adjusts the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the division result, where: The preset brightness range value includes the minimum brightness 0, the maximum brightness Lmax, the low transition brightness L1, the high transition brightness L2, L1 = 0.2Lmax, L2 = 0.8Lmax When 0 ≤ L ≤ L1, the exhibition brightness interval is divided into a low exhibition brightness interval, and the brightness of the multi-dimensional indoor light source simulation device in this low exhibition brightness interval is set to ymin, ymin = a ln(xmin + b), where xmin is the environmental brightness value of the low exhibition brightness interval, and a and b are the brightness adjustment coefficients of the low exhibition brightness interval; When L1 < L < L2, the exhibition brightness interval is divided into a transition interval, and the brightness of the multi-dimensional indoor light source simulation device in this transition interval is set to ymed, ymed = f(t) × ylinear + (1 - f(t)) × ynonlinear, where ylinear is the output of the low exhibition brightness interval at xmed, ylinear = a × ln(xmed + b), ynonlinear is the output of the high exhibition brightness interval at xmed, ynonlinear = m × xmed + c, xmed is the environmental brightness value of this transition interval, f(t) is the transition function, , t is the transition parameter, ; When L2 ≤ L ≤ Lmax, the exhibition brightness interval is divided into a high exhibition brightness interval, and the brightness of the multi-dimensional indoor light source simulation device in this high exhibition brightness interval is set to ymax, ymax = m × xmax + c, where xmax is the environmental brightness value of this high exhibition brightness interval, m is the sensitivity, and c is the brightness offset; When the simulation and analysis unit controls the multi-dimensional indoor light source simulation device, it maps the brightness ymin of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval, the brightness ymed of the multi-dimensional indoor light source simulation device in the transition interval, and the brightness ymax of the multi-dimensional indoor light source simulation device in the high exhibition brightness interval to the PWM duty cycle range, and controls the multi-dimensional indoor light source simulation device according to the mapping result.

[0033] Specifically, the preset brightness range value refers to the brightness numerical range used to divide different exhibition brightness intervals. The lowest brightness 0 refers to the lower limit value that the ambient brightness can reach. The highest brightness Lmax refers to the upper limit value representing the ambient brightness. In this embodiment, the specific value of the highest brightness Lmax is not limited. For example, the highest brightness Lmax = 2×10 5 lux. The low transition brightness L1 refers to the transition value between the low exhibition brightness interval and the transition interval. The high transition brightness L2 refers to the transition value between the high exhibition brightness interval and the transition interval. The ambient brightness value in the low exhibition brightness interval refers to the actual ambient brightness measurement value within the low exhibition brightness interval. The brightness adjustment coefficient in the low exhibition brightness interval refers to the coefficient used to adjust the brightness of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval. The output of the low exhibition brightness interval at xmed refers to the result obtained by substituting the ambient brightness value xmed in the transition interval into the brightness calculation formula of the low exhibition brightness interval in the transition interval. The output of the high exhibition brightness interval at xmed refers to the result obtained by substituting the ambient brightness value xmed in the transition interval into the brightness calculation formula of the high exhibition brightness interval in the transition interval. The ambient brightness value in this transition interval refers to the actual ambient brightness measurement value within this transition interval. The transition parameter refers to the parameter t in the transition function f(t). The sensitivity refers to the value reflecting the influence degree of the change in the ambient brightness value xmax on the brightness ymax of the multi-dimensional indoor light source simulation device. The brightness offset amount refers to the reference value used to adjust the brightness of the light source simulation device in the high exhibition brightness interval. The ambient brightness value in this high exhibition brightness interval refers to the actual ambient brightness measurement value within this high exhibition brightness interval. The PWM duty cycle refers to the ratio of the high-level duration to the entire cycle time within one pulse period of pulse width modulation. The mapping refers to the process of converting the brightness ymin of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval, the brightness ymed of the multi-dimensional indoor light source simulation device in the transition interval, and the brightness ymax of the multi-dimensional indoor light source simulation device in the high exhibition brightness interval into values within the PWM duty cycle range. In this embodiment, the specific mapping method is not limited, and it can be set, for example, to perform mapping through linear mapping.

[0034] Specifically, the simulation and analysis unit realizes precise and efficient light source control by dynamically adjusting and optimizing the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval.

[0035] Specifically, when the simulation analysis unit optimizes the process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval, it converts the environmental image into an environmental grayscale image, obtains the grayscale value H in the environmental grayscale image, and when 0 ≤ H ≤ 63, marks the grayscale value H in the environmental grayscale image as the low grayscale value Hmin. It obtains the number of samples Q0 of the environmental grayscale image and the number Q of the low grayscale value Hmin, and calculates the frequency A of the appearance of the low grayscale value Hmin according to the number of samples Q0 of the environmental grayscale image and the number Q of the low grayscale value Hmin, A = Q / Q0. It compares the frequency A of the appearance of the low grayscale value Hmin with the preset frequency A0, judges the compliance of the environmental clarity according to the comparison result, and optimizes the process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval according to the judgment result, where: When A ≤ A0, it is determined that the compliance of the environmental clarity is up to standard, and the process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval is not optimized; When A > A0, it is determined that the compliance of the environmental clarity is not up to standard, and the process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval is optimized. The brightness of the low-exhibition-brightness-interval multi-dimensional indoor light source simulation device after optimization is set as yamin, yamin = β × ymin, the brightness of the transition-interval multi-dimensional indoor light source simulation device after optimization is yamed, yamed = β × ymed, the brightness of the high-exhibition-brightness-interval multi-dimensional indoor light source simulation device after optimization is yamax, yamax = β × ymax, where β is the optimization coefficient, β = 1.58 - 0.4e -0.7×（A-A0） ; The simulation analysis unit obtains the light reflection intensity index B of the target object according to the image recognition result, compares the light reflection intensity index B of the target object with the preset light reflection intensity index B0 of the object, judges the effectiveness of the high and low situation of the environmental clarity according to the comparison result, and corrects the compliance of the environmental clarity according to the judgment result, where; When B > B0, it is determined that the effectiveness of the compliance of the environmental clarity is up to standard, and the compliance of the environmental clarity is not corrected; When B ≤ B0, it is determined that the effectiveness of the compliance of the environmental clarity is not up to standard, corrects the compliance of the environmental clarity to that the compliance of the environmental clarity is not up to standard, and optimizes the process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval according to the corrected compliance of the environmental clarity.

[0036] Specifically, the environmental grayscale image refers to an image that only contains grayscale information. The grayscale value H in the environmental grayscale image refers to the grayscale value corresponding to each pixel point in the environmental grayscale image, and its value range is 0 - 255. The number of samples Q0 of the environmental grayscale image refers to the total number of all pixel points in the environmental grayscale image. The number Q of the low grayscale value Hmin refers to the number of pixel points in the environmental grayscale image where the grayscale value is in the range of 0 ≤ H ≤ 63. The frequency A of the occurrence of the low grayscale value Hmin refers to the proportion of low grayscale value pixels in the entire image. The preset frequency A0 refers to a value used to compare with the frequency A of the occurrence of the low grayscale value Hmin to judge the level of environmental clarity. For example, the preset frequency A0 = 10. The environmental clarity refers to the degree of clarity of the environmental image. The optimization coefficient refers to a coefficient used to optimize the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval. The target object light reflection intensity index B refers to an index used to reflect the light reflection intensity of the target object. The preset object light reflection intensity index B0 refers to a value used to compare with the target object light reflection intensity index B to judge the effectiveness of the environmental clarity level. For example, the preset object light reflection intensity index B0 = 0.7.

[0037] Specifically, the simulation analysis unit realizes quantitative clarity through a closed-loop control process of environmental grayscale analysis, brightness dynamic optimization, and reflection intensity correction, excludes interference factors, and improves the performance upper limit of the multi-dimensional indoor light source simulation device in a complex environment, thereby enhancing the adaptive ability, accuracy, and reliability of the system.

[0038] Specifically, when the simulation analysis unit maps the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval to the recommended color temperature, according to the color temperature mapping rule |brightness y of the multi-dimensional indoor light source simulation device in each exhibition brightness interval|recommended color temperature s|, it maps the brightness y of the multi-dimensional indoor light source simulation device in each exhibition brightness interval to the recommended color temperature s, where: The brightness y of the multi-dimensional indoor light source simulation device in each exhibition brightness interval includes the brightness yamin of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval, the brightness yamed of the multi-dimensional indoor light source simulation device in the transition interval, and the brightness yamax of the multi-dimensional indoor light source simulation device in the high exhibition brightness interval; The color temperature mapping rule is: When 0% ≤ y < 10%, the recommended color temperature s = 2700K; When 10% ≤ y < 30%, the recommended color temperature s = 3000K; When 30% ≤ y < 60%, the recommended color temperature s = 4000K; When 60% ≤ y < 80%, the recommended color temperature s = 5000K; When 80% ≤ y ≤ 100%, the recommended color temperature s = 6500K; When the simulation analysis unit generates a PWM control signal and controls the multi-dimensional indoor light source simulation device according to the PWM control signal, it obtains the recommended color temperature coordinates (xt, yt) of the recommended color temperature s in the chromaticity coordinate table according to the recommended color temperature s and the chromaticity coordinate table, and obtains the coordinate values (xw, yw) and (xc, yc) of the warm white LED and the cold white LED on the CIE1931 chromaticity diagram, where (xw, yw) is the coordinate value of the warm white LED on the CIE1931 chromaticity diagram, and (xc, yc) is the coordinate value of the cold white LED on the CIE1931 chromaticity diagram. A linear equation system is established based on the recommended color temperature coordinates (xt, yt) of the recommended color temperature s in the chromaticity coordinate table, the coordinate value (xw, yw) of the warm white LED on the CIE1931 chromaticity diagram, the coordinate value (xc, yc) of the cold white LED on the CIE1931 chromaticity diagram, the driving current Iw of the warm white LED, and the driving current Ic of the cold white LED and calculates the driving current ratio of the driving current Iw of the warm white LED and the driving current Ic of the cold white LED from this linear equation system , , according to the driving current ratio of the driving current Iw of the warm white LED and the driving current Ic of the cold white LED generate a PWM control signal, and the simulation analysis unit controls the multi-dimensional indoor light source simulation device according to the PWM control signal.

[0039] Specifically, the symbol "|||" refers to a separator used to separate different attributes, parameters, and logical units. The recommended color temperature refers to the appropriate color temperature value determined according to the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval and the color temperature mapping rule. The PWM control signal refers to a signal for controlling a device by adjusting the duty cycle of a pulse signal. The chromaticity coordinate table refers to a table recording the chromaticity coordinates corresponding to different color temperatures. The warm white LED refers to a light-emitting diode that emits light with a warmer color. The cold white LED refers to a light-emitting diode that emits light with a colder color. The CIE1931 chromaticity diagram refers to a color space representation method formulated by the International Commission on Illumination in 1931. The driving current Iw of the warm white LED refers to the magnitude of the current flowing through the warm white LED. The driving current Ic of the cold white LED refers to the magnitude of the current flowing through the cold white LED. The driving current ratio of the driving current Iw of the warm white LED and the driving current Ic of the cold white LED refers to the ratio relationship between the driving current Iw of the warm white LED and the driving current Ic of the cold white LED. This embodiment does not limit the control process of controlling the multi-dimensional indoor light source simulation device according to the PWM control signal. For example, the microcontroller receives the PWM control signal, and the microcontroller adjusts the driving currents of the warm white LED and the cold white LED respectively through the driving circuit according to the duty cycle of the PWM control signal.

[0040] Specifically, the simulation and analysis unit performs brightness-color temperature mapping to flexibly adapt to different lighting requirements, improve the performance and stability of the lighting system, and thus enhance the usability and practicality of the multi-dimensional indoor light source simulation device.

[0041] Specifically, when the simulation and analysis unit updates the process of generating the PWM control signal according to the exhibition environment data, it compares the environmental background and object color similarity index C with the preset similarity index C0, judges the level of similarity between the environmental background and object color according to the comparison result, and adjusts the driving current ratio of the driving current Iw of the warm white LED and the driving current Ic of the cold white LED according to the judgment result. The update is as follows: When C ≤ C0, it is determined that the similarity between the environmental background and object color is low similarity, and the driving current ratio of the driving current Iw of the warm white LED and the driving current Ic of the cold white LED is not updated; When C > C0, it is determined that the similarity between the environmental background and object color is high similarity, and the driving current ratio of the driving current Iw of the warm white LED and the driving current Ic of the cold white LED Update is performed. Set the total current before update as Iwc, Iwc = Iw + Ic. The driving current of the updated cold white LED is Ic0, Ic0 = 1.62×Ic. The driving current of the updated warm white LED is Iw0, Iw0 = Iwc - Ic0.

[0042] Specifically, the preset similarity index C0 refers to a value preset for judging the high or low similarity between the environmental background and the object color. For example, the preset similarity index C0 = 0.8.

[0043] Specifically, the simulation analysis unit optimizes the lighting performance and ensures lighting stability through an intelligent adjustment mechanism based on the similarity between the environmental background and the object color.

[0044] Specifically, when calculating the illuminance, the simulation monitoring unit obtains the brightness range ys of the multi-dimensional indoor light source simulation device, ys = (yamin, yamax), and the recommended color temperature range sy, sy = (smin, smax), according to the brightness yamin of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval, the brightness yamax of the multi-dimensional indoor light source simulation device in the high exhibition brightness interval, and the color temperature mapping rule, and according to the brightness normalization formula and the color temperature normalization formula normalize the brightness range ys and the recommended color temperature range sy. Here, yn is the value after brightness normalization, sn is the value after color temperature normalization, smin is the lowest recommended color temperature, and smax is the highest recommended color temperature; When calculating the illuminance, the simulation monitoring unit also calculates the illuminance Z according to the value yn after brightness normalization and the value sn after color temperature normalization, and sets Z = w1×yn + w2×sn, where w1 is the brightness weight and w2 is the color temperature weight; When outputting the lighting strategy according to the illuminance, the simulation monitoring unit also compares the illuminance Z with the preset first illuminance Z1 and the preset second illuminance Z2, judges the lighting effect level of the illuminance according to the comparison result, and outputs the lighting strategy according to the judgment result, where: When Z≥Z2, it is determined that the lighting effect level of the illuminance is the first lighting effect level, and the first lighting strategy is output as the lighting strategy; When Z1≤Z<Z2, it is determined that the lighting effect level of the illuminance is the second lighting effect level, and the second lighting strategy is output as the lighting strategy; When Z1>Z, it is determined that the lighting effect level of the illuminance is the third lighting effect level, and the third lighting strategy is output as the lighting strategy.

[0045] Specifically, the brightness normalization formula refers to a calculation formula for converting brightness values to a standard and unified range. The color temperature normalization formula refers to a calculation formula for converting color temperature values to a standard and unified range. The brightness range ys refers to the interval of brightness values covered by the multi-dimensional indoor light source simulation device. The recommended color temperature range sy refers to the corresponding color temperature value interval obtained according to the brightness range ys and the color temperature mapping rule. The normalization process refers to the process of unifying data in different ranges to a standard range. The brightness value after normalization refers to the result obtained by converting the brightness range ys of the multi-dimensional indoor light source simulation device to a standard range through the brightness normalization formula. The color temperature value after normalization refers to the result obtained by converting the recommended color temperature range sy to a standard range through the color temperature normalization formula. The lowest recommended color temperature refers to the minimum value in the recommended color temperature range sy determined according to the brightness range ys and the color temperature mapping rule. The highest recommended color temperature refers to the maximum value in the recommended color temperature range sy determined according to the brightness range ys and the color temperature mapping rule. The brightness weight refers to a coefficient used to measure the influence degree of the brightness value yn after normalization on the final illuminance. The color temperature weight refers to a coefficient used to measure the influence degree of the color temperature value sn after normalization on the final illuminance. The preset first illuminance Z1 refers to a value preset for dividing the lighting effect level, for example, the preset first illuminance Z1 = 40000 lux. The preset second illuminance Z2 refers to a value preset for dividing the lighting effect level, for example, the preset second illuminance Z2 = 60000 lux. The first lighting strategy refers to the lighting control strategy adopted when the lighting effect level is the first lighting effect level. The second lighting strategy refers to the lighting control strategy adopted when the lighting effect level is the second lighting effect level. The third lighting strategy refers to the lighting control strategy adopted when the lighting effect level is the third lighting effect level. In this embodiment, the setting methods of the first lighting strategy, the second lighting strategy, and the third lighting strategy are not limited. Those skilled in the relevant art can freely set them according to the actual situation. For example, the setting methods of the first lighting strategy, the second lighting strategy, and the third lighting strategy are to set them through big data for the first lighting strategy, the second lighting strategy, and the third lighting strategy.

[0046] Specifically, the simulation monitoring unit enhances the adaptability and intelligent level of the lighting system by quantifying lighting parameters, comprehensively considering brightness and color temperature factors, and outputting lighting strategies based on illuminance grading.

[0047] Specifically, when correcting the process of calculating illuminance, the simulation monitoring unit calculates the brightness difference Δy according to the brightness value yn after normalization and the preset brightness value yn0 after normalization, and sets , compare the luminance difference Δy with a preset luminance difference Δy0, judge the validity of the luminance-normalized value yn according to the comparison result, and correct the luminance-normalized value yn according to the judgment result, where: When Δy ≤ Δy0, it is determined that the luminance-normalized value yn is valid, and the luminance-normalized value yn is not corrected; When Δy > Δy0, it is determined that the luminance-normalized value yn is invalid, correct the luminance-normalized value yn, and set the corrected luminance-normalized value as yj, yj = Δy × w1 × yn; When the analog monitoring unit corrects the process of calculating the illuminance, it also calculates the color temperature difference value Δs according to the color temperature-normalized value sn and the preset color temperature-normalized value sn0, and sets , compare the color temperature difference value Δs with a preset color temperature difference value Δs0, judge the validity of the color temperature-normalized value sn according to the comparison result, and correct the color temperature-normalized value sn according to the judgment result, where: When Δs ≤ Δs0, it is determined that the color temperature-normalized value sn is valid, and the color temperature-normalized value sn is not corrected; When Δs > Δs0, it is determined that the color temperature-normalized value sn is invalid, correct the color temperature-normalized value sn, and set the corrected color temperature-normalized value as sj, sj = Δs × w2 × sn.

[0048] Specifically, the symbol "||" refers to the absolute value symbol. The luminance difference Δy refers to the degree of difference between the actually calculated luminance-normalized value and the pre-set standard value. The preset luminance difference Δy0 refers to the value preset for judging whether the luminance-normalized value yn is valid. For example, the preset luminance difference Δy0 = 0.05. The color temperature difference value Δs refers to the value measuring the deviation degree between the current color temperature-normalized value and the preset standard value. The preset color temperature difference value Δs0 refers to the value preset for judging whether the color temperature-normalized value sn is valid. For example, the preset color temperature difference value Δs0 = 0.1.

[0049] Specifically, the analog monitoring unit corrects the luminance and color temperature-normalized values to further improve data accuracy, optimize illuminance evaluation, enhance calculation robustness, and improve the accuracy of lighting strategy output, thereby further improving the reliability and efficiency of the multi-dimensional indoor light source simulation device.

[0050] Specifically, when the energy recovery unit controls the photodiode according to the exhibition environment data, it compares the indoor real-time brightness R with the preset indoor real-time brightness R0, judges the energy overflow situation according to the comparison result, and controls the photodiode according to the judgment result, where: When R ≤ R0, it is determined that the energy overflow situation is non-overflow, and the photodiode is controlled to turn off; When R > R0, it is determined that the energy overflow situation is overflow, and the photodiode is controlled to turn on.

[0051] Specifically, the preset indoor real-time brightness R0 refers to the value preset for judging whether there is an energy overflow situation in the indoor real-time brightness. For example, the preset indoor real-time brightness R0 = 400 lux. In this embodiment, the method of controlling the photodiode to turn on and off is not limited. For example, it can be set to control the photodiode to turn on and off through a PWM control signal.

[0052] Specifically, the energy recovery unit realizes efficient energy recovery, extends the equipment life, improves the indoor lighting quality and environmental protection and energy saving, and further improves the economy and reliability of the system by precisely controlling the turning on and off of the photodiode.

[0053] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

Claims

1. A multi-dimensional indoor light source simulation device for environmental art design, characterized in that, The device includes: An energy storage device, which is connected to the control component. A sensor group and a camera group are provided at one end of the energy storage device close to the control component, and it is used for storing the recovered electric energy; A sensor group, which is installed at one end of the energy storage device close to the control component, and it is used for collecting exhibition environment data, A camera group, which is installed at one end of the energy storage device close to the control component, and it is used for collecting exhibition environment data; A photodiode, which is installed at one end of the lamp shade far from the control component, and it is used for converting light energy into electric energy to obtain recovered electric energy; A lamp shade, which is connected to the control component, and it is used for scattering the light emitted by the LED lamp; An LED lamp, which is installed at one end of the lamp shade far from the control component, and it includes a cold white LED and a warm white LED, and it is used for emitting light; A triangular reflection laser range finder sensor, which is installed at one end of the lamp shade far from the control component, and it is used for collecting exhibition environment data; A control component, one end of which is connected to the energy storage device, and the other end far from the energy storage device is connected to the lamp shade, and it is used for controlling the multi-dimensional indoor light source simulation device.

2. The multi-dimensional indoor light source simulation device for environmental art design according to claim 1, characterized in that, The control component includes: A data acquisition unit, which is used for collecting exhibition environment data; An environment perception unit, which is used for constructing a three-dimensional exhibition space map according to the exhibition environment data; An analog analysis unit, which is used for dividing the exhibition brightness intervals in the three-dimensional exhibition space map according to the exhibition environment data, adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the division result, controlling the multi-dimensional indoor light source simulation device according to the adjustment result, optimizing the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the exhibition environment data, correcting the process of optimizing and adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval, mapping the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval to the recommended color temperature, generating a PWM control signal, controlling the multi-dimensional indoor light source simulation device according to the PWM control signal, and updating the process of generating the PWM control signal according to the exhibition environment data; An analog monitoring unit, which is used for calculating the illuminance and outputting the lighting strategy according to the illuminance, and correcting the process of calculating the illuminance; An energy recovery unit, which is used for controlling the photodiode according to the exhibition environment data.

3. The multi-dimensional indoor light source simulation device for environmental art design according to claim 2, characterized in that, When the environmental perception unit constructs the exhibition three-dimensional space map according to the exhibition environment data, it trains the convolutional neural network model according to the image-name data set. The shallow network of the convolutional kernel of the convolutional neural network model is set to 8, the deep network is set to 256, the image-name data set is divided into 70% of the map name training set, 15% of the map name validation set, and 15% of the map name test set. It trains the convolutional neural network model according to the map name training set to obtain the trained convolutional neural network model, optimizes the parameters of the trained convolutional neural network model according to the map name validation set to obtain the optimized convolutional neural network model, tests the optimized convolutional neural network model according to the map name test set to obtain the map name accuracy rate Tm, compares the map name accuracy rate Tm with the preset map name accuracy rate Tm0, judges the training situation of the optimized convolutional neural network model according to the comparison result, and outputs according to the judgment result, where: When Tm≥Tm0, it is determined that the training situation of the optimized convolutional neural network model is up to standard, and the optimized convolutional neural network model is output as the map name recognition model; When Tm<Tm0, it is determined that the training situation of the optimized convolutional neural network model is not up to standard, and the optimized convolutional neural network model is retrained until the training situation of the optimized convolutional neural network model is up to standard; When the environmental perception unit constructs the exhibition three-dimensional space map according to the exhibition environment data, it uses the map name recognition model to identify the images of the objects around the multi-dimensional indoor light source simulation device to obtain the image recognition result. On the three-dimensional space map, taking the multi-dimensional indoor light source simulation device as the starting point and setting the position of the objects around the multi-dimensional indoor light source simulation device as the end point, it obtains the distance between the objects around the multi-dimensional indoor light source simulation device and the multi-dimensional indoor light source simulation device, and marks the image recognition result of the objects around the multi-dimensional indoor light source simulation device at the end point to obtain the exhibition three-dimensional space map.

4. The multi-dimensional indoor light source simulation device for environmental art design according to claim 2, characterized in that, When the simulation analysis unit adjusts the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval, it compares the environmental brightness value L in each exhibition brightness interval with the preset brightness range value, divides each exhibition brightness interval according to the comparison result, and adjusts the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the division result, where: The preset brightness range value includes the minimum brightness 0, the maximum brightness Lmax, the low transition brightness L1, and the high transition brightness L2, and L1 = 0.2Lmax, L2 = 0.8Lmax When 0≤L≤L1, this exhibition brightness interval is divided into a low exhibition brightness interval, and the brightness of the multi-dimensional indoor light source simulation device in this low exhibition brightness interval is set to ymin, and ymin = aln(xmin + b), where xmin is the environmental brightness value in the low exhibition brightness interval, and a and b are the brightness adjustment coefficients in the low exhibition brightness interval; When L1 < L < L2, the exhibition brightness interval is divided into a transition interval, and the brightness of the multi-dimensional indoor light source simulation device in this transition interval is set as ymed, where ymed = f(t) × ylinear + (1 - f(t)) × ynonlinear. ylinear is the output in the low exhibition brightness interval under xmed, ylinear = a × ln(xmed + b), ynonlinear is the output in the high exhibition brightness interval under xmed, ynonlinear = m × xmed + c, xmed is the environmental brightness value of this transition interval, and f(t) is the transition function. , t is the transition parameter. ; When L2 ≤ L ≤ Lmax, the exhibition brightness interval is divided into a high exhibition brightness interval, and the brightness of the multi-dimensional indoor light source simulation device in this high exhibition brightness interval is set as ymax, where ymax = m × xmax + c, xmax is the environmental brightness value in this high exhibition brightness interval, m is the sensitivity, and c is the brightness offset; When the simulation analysis unit controls the multi-dimensional indoor light source simulation device, it maps the brightness ymin of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval, the brightness ymed of the multi-dimensional indoor light source simulation device in the transition interval, and the brightness ymax of the multi-dimensional indoor light source simulation device in the high exhibition brightness interval to the PWM duty cycle range, and controls the multi-dimensional indoor light source simulation device according to the mapping result.

5. The multi-dimensional indoor light source simulation device for environmental art design according to claim 4, wherein When the simulation analysis unit optimizes the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval, it converts the environmental image into an environmental grayscale image, obtains the grayscale value H in the environmental grayscale image, and when 0 ≤ H ≤ 63, marks the grayscale value H in this environmental grayscale image as the low grayscale value Hmin. It obtains the number Q0 of environmental grayscale image samples and the number Q of low grayscale values Hmin, calculates the frequency A of the appearance of the low grayscale value Hmin according to the number Q0 of environmental grayscale image samples and the number Q of low grayscale values Hmin, A = Q / Q0, compares the frequency A of the appearance of the low grayscale value Hmin with the preset frequency A0, judges the compliance of the environmental clarity according to the comparison result, and optimizes the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the judgment result, where: When A ≤ A0, it is determined that the compliance of the environmental clarity is compliant, and the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval is not optimized; When A > A0, it is determined that the environmental clarity fails to meet the standard. The process of adjusting the brightness of the multi-dimensional indoor light source simulation device for each exhibition brightness interval is optimized. The brightness of the multi-dimensional indoor light source simulation device in the optimized low exhibition brightness interval is set as yamin, yamin = β × ymin. The brightness of the multi-dimensional indoor light source simulation device in the optimized transition interval is yamed, yamed = β × ymed. The brightness of the multi-dimensional indoor light source simulation device in the optimized high exhibition brightness interval is yamax, yamax = β × ymax. β is the optimization coefficient, β = 1.58 - 0.4e -0.7×（A-A0） .

6. The multi-dimensional indoor light source simulation device for environmental art design according to claim 5, characterized in that The simulation analysis unit obtains the target object light reflection intensity index B according to the image recognition result, compares the target object light reflection intensity index B with the preset object light reflection intensity index B0, judges the effectiveness of the high and low situation of the environmental clarity according to the comparison result, and corrects the compliance of the environmental clarity according to the judgment result, where; When B > B0, it is determined that the effectiveness of the compliance of the environmental clarity is compliant, and the compliance of the environmental clarity is not corrected; When B ≤ B0, it is determined that the effectiveness of the compliance of the environmental clarity is not compliant, corrects the compliance of the environmental clarity to the non-compliance of the environmental clarity, and optimizes the process of adjusting the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval according to the corrected compliance of the environmental clarity.

7. The multi-dimensional indoor light source simulation device for environmental art design according to claim 6, characterized in that When the simulation analysis unit maps the brightness of the multi-dimensional indoor light source simulation device in each exhibition brightness interval to the recommended color temperature, according to the color temperature mapping rule | the brightness y of the multi-dimensional indoor light source simulation device in each exhibition brightness interval | the recommended color temperature s | maps the brightness y of the multi-dimensional indoor light source simulation device in each exhibition brightness interval to the recommended color temperature s, where: The brightness y of the multi-dimensional indoor light source simulation device for each exhibition brightness range includes the brightness yamin of the multi-dimensional indoor light source simulation device in the low exhibition brightness range, the brightness yamed of the multi-dimensional indoor light source simulation device in the transition range, and the brightness yamax of the multi-dimensional indoor light source simulation device in the high exhibition brightness range; The color temperature mapping rule is: When 0% ≤ y < 10%, the recommended color temperature s = 2700K; When 10% ≤ y < 30%, the recommended color temperature s = 3000K; When 30% ≤ y < 60%, the recommended color temperature s = 4000K; When 60% ≤ y < 80%, the recommended color temperature s = 5000K; When 80% ≤ y ≤ 100%, the recommended color temperature s = 6500K; When the simulation analysis unit generates a PWM control signal and controls the multi-dimensional indoor light source simulation device according to the PWM control signal, it obtains the recommended color temperature coordinates (xt, yt) of the recommended color temperature s in the chromaticity coordinate table according to the recommended color temperature s and the chromaticity coordinate table, and obtains the coordinate values (xw, yw) and (xc, yc) of the warm white LED and the cool white LED on the CIE1931 chromaticity diagram, where (xw, yw) is the coordinate value of the warm white LED on the CIE1931 chromaticity diagram, and (xc, yc) is the coordinate value of the cool white LED on the CIE1931 chromaticity diagram. A linear equation system is established based on the recommended color temperature coordinates (xt, yt) of the recommended color temperature s in the chromaticity coordinate table, the coordinate values (xw, yw) of the warm white LED on the CIE1931 chromaticity diagram, the coordinate values (xc, yc) of the cool white LED on the CIE1931 chromaticity diagram, the drive current Iw of the warm white LED, and the drive current Ic of the cool white LED , and calculates the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cool white LED from this linear equation system , , and generates a PWM control signal according to the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cool white LED . The simulation analysis unit controls the multi-dimensional indoor light source simulation device according to the PWM control signal.

8. The multi-dimensional indoor light source simulation device for environmental art design according to claim 7, characterized in that, When the simulation analysis unit updates the process of generating the PWM control signal according to the exhibition environment data, it compares the environmental background and object color similarity index C with the preset similarity index C0, judges the level of the environmental background and object color similarity according to the comparison result, and adjusts the driving current ratio of the warm white LED driving current Iw and the cold white LED driving current Ic according to the judgment result for updating, where: When C ≤ C0, it is determined that the color similarity between the environmental background and the object is low similarity, and the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cold white LED is not updated; When C > C0, it is determined that the similarity between the environmental background and the object color is a high similarity, and the drive current ratio of the drive current Iw of the warm white LED and the drive current Ic of the cold white LED is updated. The total current before the update is set as Iwc, Iwc = Iw + Ic. The drive current of the cold white LED after the update is Ic0, Ic0 = 1.62 × Ic, and the drive current of the warm white LED after the update is Iw0, Iw0 = Iwc - Ic0.

9. The multi-dimensional indoor light source simulation device for environmental art design according to claim 2, wherein When calculating the contrast brightness, the simulation monitoring unit obtains the brightness range ys, ys = (yamin, yamax) and the recommended color temperature range sy, sy = (smin, smax) of the multi-dimensional indoor light source simulation device according to the brightness yamin of the multi-dimensional indoor light source simulation device in the low exhibition brightness interval, the brightness yamax of the multi-dimensional indoor light source simulation device in the high exhibition brightness interval, and the color temperature mapping rule, and according to the brightness normalization formula and the color temperature normalization formula normalize the brightness range ys and the recommended color temperature range sy, where yn is the value after brightness normalization, sn is the value after color temperature normalization, smin is the lowest recommended color temperature, and smax is the highest recommended color temperature; When calculating the illuminance, the simulation monitoring unit also calculates the illuminance Z based on the normalized value yn of the brightness and the normalized value sn of the color temperature, and sets Z = w1×yn + w2×sn, where w1 is the brightness weight and w2 is the color temperature weight; When outputting the lighting strategy according to the illuminance, the simulation monitoring unit also compares the illuminance Z with the preset first illuminance Z1 and the preset second illuminance Z2, judges the lighting effect level of the illuminance according to the comparison result, and outputs the lighting strategy according to the judgment result, where: When Z ≥ Z2, it is determined that the lighting effect level of the illuminance is the first lighting effect level, and the first lighting strategy is output as the lighting strategy; When Z1 ≤ Z < Z2, it is determined that the lighting effect level of the illuminance is the second lighting effect level, and the second lighting strategy is output as the lighting strategy; When Z1 > Z, it is determined that the lighting effect level of the illuminance is the third lighting effect level, and the third lighting strategy is output as the lighting strategy; When the simulation monitoring unit corrects the process of calculating the illumination, it calculates the brightness difference Δy according to the value yn after brightness normalization and the preset value yn0 after brightness normalization, and sets , compares the brightness difference Δy with the preset brightness difference Δy0, judges the validity of the value yn after brightness normalization according to the comparison result, and corrects the value yn after brightness normalization according to the judgment result, where: When Δy ≤ Δy0, it is determined that the effective situation of the normalized value yn of the brightness is effective, and the normalized value yn of the brightness is not corrected; When Δy > Δy0, it is determined that the effective situation of the normalized value yn of the brightness is invalid, and the normalized value yn of the brightness is corrected. The corrected normalized value of the brightness is set as yj, and yj = Δy×w1×yn; When correcting the process of calculating the illumination, the analog monitoring unit also calculates the color temperature difference value Δs based on the value sn of the color temperature normalized and the preset value sn0 of the color temperature normalized, and sets , compares the color temperature difference value Δs with the preset color temperature difference value Δs0, judges the validity of the value sn of the color temperature normalized according to the comparison result, and corrects the value sn of the color temperature normalized according to the judgment result, where: When Δs ≤ Δs0, it is determined that the effective situation of the normalized value sn of the color temperature is effective, and the normalized value sn of the color temperature is not corrected; When Δs > Δs0, it is determined that the effective situation of the normalized value sn of the color temperature is invalid, and the normalized value sn of the color temperature is corrected. The corrected normalized value of the color temperature is set as sj, and sj = Δs×w2×sn.

10. The multi-dimensional indoor light source simulation device for environmental art design according to claim 2, characterized in that, When controlling the photodiode according to the exhibition environment data, the energy recovery unit compares the real-time indoor brightness R with the preset real-time indoor brightness R0, judges the energy overflow situation according to the comparison result, and controls the photodiode according to the judgment result, where: When R ≤ R0, it is determined that the energy overflow situation is not overflow, and the photodiode is controlled to turn off; When R > R0, it is determined that the energy overflow situation is overflow, and the photodiode is controlled to turn on.

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