Method and system for automatically adjusting lighting device based on environmental perception
By generating discrete supramolecular dimerization materials and multimodal sensing algorithms, the problems of the reduction in luminescence efficiency of organic electroluminescent materials under high doping concentration and the decrease in pressure sensing sensitivity after bending are solved, and the effect of rapidly responding to ambient light changes and reducing visual fatigue is achieved.
Patent Information
- Application Number
- CN202510758756.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-09
- Publication Date
- 2025-07-18
AI Technical Summary
When illumination adjustment, organic electroluminescent materials are prone to decrease luminescence efficiency due to high doping concentration, repeated bending leads to a decrease in pressure sensing sensitivity, and adjustment lags when ambient light intensity changes, resulting in user visual fatigue.
By generating discrete supramolecular dimerization materials, combining multimodal perception algorithms and ion channel self-healing models, the carrier mobility and color temperature of the lighting device are dynamically adjusted to optimize material matching and automatic regulation performance.
It realizes narrow band emission under high doping concentration, improves luminous efficiency, responds to ambient light changes quickly, reduces user visual fatigue, and repairs cracks caused by bending, and improves pressure sensing sensitivity.
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Figure CN120343783A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent lighting adjustment, and specifically relates to an automatic adjustment method and system for a lighting device based on environmental perception. Background Art
[0002] Organic electroluminescent materials are organic compounds or polymers that generate light radiation through carrier recombination under the action of an electric field, and are widely used in display technology and the lighting field. When used for lighting, organic electroluminescent materials have the characteristics of self-luminescence, no need for backlight, high contrast, wide viewing angle, low power consumption, etc., and are suitable for dynamic displays such as VR devices. Moreover, they can be bent and folded and have applications in the field of wearable devices.
[0003] In the prior art, when adjusting lighting with organic electroluminescent materials, the materials may cause exciton quenching due to high doping concentration, resulting in a decrease in luminous efficiency; moreover, flexible organic electroluminescent materials are prone to cracks after repeated bending, leading to a decrease in the sensitivity of pressure sensing; in addition, lighting display devices are prone to adjustment lags when the ambient light intensity suddenly changes, resulting in user visual fatigue. Summary of the Invention
[0004] The purpose of the embodiments of the present invention is to provide an automatic adjustment method and system for a lighting device based on environmental perception, so as to solve the problems that organic electroluminescent materials are prone to a decrease in luminous efficiency due to high doping concentration during lighting adjustment, a decrease in the sensitivity of pressure sensing due to repeated bending, and adjustment lags during sudden changes in ambient light intensity that are prone to cause user visual fatigue.
[0005] To achieve the above purpose, the embodiments of the present invention provide an automatic adjustment method for a lighting device based on environmental perception. The automatic adjustment method for the lighting device includes: using the LSL protocol to align the clocks of multiple groups of sensors deployed to synchronously collect multimodal data of the lighting device by the multiple groups of sensors; normalizing the multimodal data and extracting multiple groups of cross-modal features; generating a discrete supramolecular dimerization material for the lighting device; adopting a multimodal perception algorithm to dynamically fuse the multiple groups of cross-modal features and optimize the matching between the multimodal perception algorithm and the discrete supramolecular dimerization material; and adopting an ion channel self-repair model to adjust the carrier mobility of the discrete supramolecular dimerization material during bending and dynamically feedback it to the lighting device for automatic adjustment.
[0006] Optionally, the multiple groups of sensors include visual sensors, tactile sensors, and ambient light sensors.
[0007] Optionally, the multimodal data includes visual data, vibration data, and frequency-domain data, and the multiple sets of cross-modal features include visual features, tactile features, and ambient light features. The extraction of the multiple sets of cross-modal features includes: using the convolution of a pre-trained ResNet-50 model to extract the visual features of the visual data; extracting the tactile features of the vibration data according to the Mel frequency cepstral coefficients; and extracting the ambient light features of the frequency-domain data through Fourier transform.
[0008] Optionally, the generation of the discrete supramolecular dimerization material includes: for the material of the lighting device, introducing a helical arylamine unit and using the large twisted configuration of the helical arylamine unit to generate steric hindrance; based on the helical configuration of the helical arylamine unit, through the Suzuki–Miyaura coupling reaction, binding to the planar nucleus of the BNCz framework to form an ABH-BNCz chiral molecule; based on the ABH-BNCz chiral molecule, generating the discrete supramolecular dimerization material of the lighting device and verifying the discrete supramolecular dimerization material using an energy optimization model.
[0009] Optionally, the verification of the discrete supramolecular dimerization material using the energy optimization model includes: calculating the total energy of the discrete supramolecular dimerization material based on the steric hindrance to ensure the discrete arrangement of the dimers of the discrete supramolecular dimerization material; using single-crystal XRD technology to verify the spacing of the dimers to ensure that the discrete arrangement of the dimers conforms to the supramolecular design.
[0010] Optionally, the use of the multimodal perception algorithm to dynamically fuse the multiple sets of cross-modal features includes: dynamically allocating the contribution degrees of the visual features and the tactile features; and based on the contribution degrees of the visual features and the tactile features, dynamically fusing the multiple sets of cross-modal features through an attention-weighted fusion method.
[0011] Optionally, the optimization of the matching between the multimodal perception algorithm and the discrete supramolecular dimerization material includes: calculating the photoluminescence quantum yield based on the ABH-BNCz chiral molecule; and based on the photoluminescence quantum yield, calculating the light efficiency value of the discrete supramolecular dimerization material through a light efficiency optimization model to optimize the matching between the multimodal perception algorithm and the discrete supramolecular dimerization material.
[0012] Optionally, the method for automatically adjusting the lighting device further includes: verifying the automatic adjustment performance of the lighting device through the synergistic effect of the multimodal perception algorithm and the discrete supramolecular dimerization material.
[0013] Optionally, the automatic adjustment performance of the verification lighting device includes: calculating the color purity by using the color coordinate deviation method to verify the narrowband emission characteristics and luminous efficiency characteristics of the lighting device; adjusting the color temperature by using the pupil tracking algorithm, combining the response time and the color temperature error to verify the dynamic response characteristics and smear characteristics of the lighting device.
[0014] On the other hand, the present invention also provides an automatic adjustment system for a lighting device based on environmental perception. The automatic adjustment system for the lighting device includes a control module. The control module includes a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the computer program to implement the automatic adjustment method for the lighting device described in any one of the above.
[0015] Through the above technical solutions, by generating the discrete supramolecular dimerization material of the lighting device and combining the multimodal perception algorithm, narrowband emission under high doping concentration can be achieved, the luminous efficiency is greatly improved, and rapid adjustment can be performed when the ambient light intensity suddenly changes to reduce the visual fatigue of the user and reduce the color temperature error of the lighting device; through the ion channel self-repair model, the carrier mobility of the bent discrete supramolecular dimerization material can be adjusted, thereby repairing the cracks generated by bending and improving the sensitivity of pressure sensing.
[0016] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent specific implementation part. Description of the Drawings
[0017] The drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementation manners, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the drawings: Figure 1 is a flowchart of an automatic adjustment method for a lighting device based on environmental perception according to an embodiment of the present invention Figure 1 ; Figure 2 is a flowchart of generating a discrete supramolecular dimerization material of a lighting device in an embodiment of the present invention; Figure 3 is a flowchart of an automatic adjustment method for a lighting device based on environmental perception according to an embodiment of the present invention Figure 2 。 Specific Embodiments
[0018] The following details the specific implementation manners of the embodiments of the present invention with reference to the drawings. It should be understood that the specific implementation manners described herein are only used to illustrate and explain the embodiments of the present invention and do not limit the embodiments of the present invention.
[0019] It should be noted that in the technical solution of this application, the acquisition, transmission, storage, use, processing, etc. of data all comply with the relevant provisions of national laws and regulations. In the embodiments of this application, some existing industry solutions such as certain software, components, models, etc. may be mentioned. They should be regarded as exemplary. The purpose is only to illustrate the feasibility in the implementation of the technical solution of this application, but it does not mean that the applicant has already or necessarily used this solution.
[0020] The first embodiment Please refer to Figure 1 and Figure 3 , an embodiment of the present invention provides an automatic adjustment method for a lighting device based on environmental perception. The automatic adjustment method for the lighting device includes: Step S110: Use the LSL protocol to align the clocks of multiple groups of sensors deployed to synchronously collect multimodal data of the lighting device by using multiple groups of sensors.
[0021] In the embodiments of the present invention, multiple groups of sensors may include a visual sensor, a tactile sensor, and an ambient light sensor. The visual sensor may use a 120Hz camera to capture the pupil position and dynamic light field distribution, etc.; the tactile sensor may use a 1kHz piezoelectric film to collect the pressure distribution and output the pressure signal and sensitivity, etc.; the ambient light sensor may use a 50Hz photodiode to collect the color temperature and brightness, etc.
[0022] Furthermore, the LSL protocol is an open standard protocol for real-time data stream transmission, aiming to simplify the data stream synchronization and sharing between different devices and software. The LSL protocol can be implemented by using an FPGA to align the sensor timestamps. When the timestamp alignment error is controlled within <1ms, the data synchronization can be ensured. The variance of the sensor timestamps can be represented by the following formula :
[0023] Where represents the variance of the sensor timestamps, which is used to measure the synchronization error, represents the local timestamps of each sensor (such as the independent clocks of the visual, tactile, and ambient light sensors), represents the average value of all sensor timestamps, which is used as the alignment benchmark, represents the number of sensors participating in the synchronization (such as 3 sensors including visual, tactile, and ambient light).
[0024] Step S120: Normalize the multimodal data and extract multiple groups of cross-modal features.
[0025] In the embodiments of the present invention, the multimodal data may include visual data, vibration data, and frequency-domain data, and multiple groups of cross-modal features include visual features, tactile features, and ambient light features. The normalization processing of the multimodal data can be represented by the following formula :
[0026] wherein, represents the original data (e.g., pixel value or tactile pressure signal, etc.), represents the data mean, which is used to eliminate the dimension difference, represents the standard deviation, which is used to standardize the data distribution.
[0027] Furthermore, when extracting multiple groups of cross-modal features, steps S121 - S123 may be included: Step S121: Use the convolution of the pre-trained ResNet-50 model to extract the visual features of the visual data.
[0028] In the preferred embodiments of the present invention, when training the ResNet-50 model constructed by using the ResNet-50 network, the visual data can be uniformly scaled to the input requirements of ResNet-50 (e.g., 224×224 pixels), the training set, validation set, and test set are divided in the ratio of 7:2:1, and the training set data is augmented and the validation set data is normalized; load the pre-trained model, replace the last fully connected layer, freeze all convolutional layers during the initial training, and only train the newly added fully connected layer to prevent damage to the pre-trained features; batch input the visual data, evaluate on the validation set after each round of training, and use the early stopping strategy to save the best model.
[0029] Step S122: Extract the tactile features of the vibration data according to the Mel-frequency cepstral coefficients.
[0030] In the preferred embodiments of the present invention, the Mel-frequency cepstral coefficients can be represented by the following formula :
[0031] wherein, represents the time-domain tactile signal (e.g., the vibration waveform of the piezoelectric film), represents the fast Fourier transform, which converts the time-domain signal into the frequency domain, represents the Mel filter bank, which simulates the non-linear perception characteristics of the human ear for frequencies, represents the discrete cosine transform, which is used to compress the frequency-domain energy distribution and extract key features.
[0032] Step S123: Extract the ambient light features of the frequency-domain data through Fourier transform.
[0033] In a preferred embodiment of the present invention, the discrete frequency-domain signal can be represented by the following formula :
[0034] wherein represents the discrete frequency-domain signal, and represents the time-domain sequence is the complex amplitude at the k th frequency point, N represents the number of sampling points, which determines the frequency-domain resolution and computational complexity.
[0035] Step S130: Generate a discrete supramolecular dimerization material for the lighting device to achieve narrowband emission at a high doping concentration and significantly improve the luminous efficiency.
[0036] Please refer to Figure 2 . In the embodiment of the present invention, when generating the discrete supramolecular dimerization material for the lighting device, steps S131 - S133 may be included: S131: For the material of the lighting device, introduce a helical arylamine unit and utilize the large twisted configuration of the helical arylamine unit to generate steric hindrance.
[0037] In a preferred embodiment of the present invention, the helical arylamine unit is a type of compound unit containing an arylamine group with a helical structure, which can affect the charge transport performance, luminous efficiency, etc. of the material. For example, in an organic light-emitting diode, the helical arylamine unit can be a component of the hole transport material, helping to improve the performance and stability of the device; for the large twisted configuration of the helical arylamine unit, it means that the atoms and groups in its molecule are not in a plane or regular spatial arrangement, but have undergone significant twisting deformation, which can have a significant impact on the physical and chemical properties of the helical arylamine unit, such as affecting its optical properties (e.g., absorption and emission spectra), electrical properties (e.g., charge transport ability), and chemical reactivity, etc.; steric hindrance, also known as steric effect or steric hindrance, is the spatial hindrance effect caused by the approach of certain atoms or groups in a molecule, which will limit the relative movement between certain atoms or groups in the molecule and affect the conformation, reactivity, and selectivity of the molecule, etc.
[0038] S132: Based on the helical configuration of the helical arylamine unit, through the Suzuki–Miyaura coupling reaction, combine with the planar nucleus of the BNCz skeleton to form an ABH-BNCz chiral molecule.
[0039] In a preferred embodiment of the present invention, the Suzuki–Miyaura coupling reaction refers to a cross-coupling reaction between an organoboron compound (e.g., boric acid or boronic acid ester, etc.) and an organic halide or trifluoromethanesulfonate under palladium catalysis to form a carbon-carbon bond; the BNCz skeleton can serve as a multi-resonant luminescence core, and boron and nitrogen doping enables narrow-band thermally activated delayed fluorescence with a short excited-state lifetime, which can reduce the risk of exciton quenching. The helical configuration of ABH combines with the BNCz planar core to form a "rigid-flexible" cooperative structure, inhibiting π-π continuous stacking and optimizing the chiral order through short-range intermolecular electronic coupling.
[0040] S133: Based on the ABH-BNCz chiral molecule, generate a discrete supramolecular dimerization material for the lighting device, and verify the discrete supramolecular dimerization material using an energy optimization model.
[0041] In a preferred embodiment of the present invention, when verifying the discrete supramolecular dimerization material using an energy optimization model, it may include steps S1331 - S1332: Step S1331: Calculate the total energy of the discrete supramolecular dimerization material based on steric hindrance to ensure the discrete arrangement of the dimers in the discrete supramolecular dimerization material.
[0042] Further, the total energy can be represented by the following formula :
[0043] where represents the van der Waals force, the intermolecular weak interaction energy, represents π-π the stacking energy, which is the main factor leading to aggregation quenching, represents the steric hindrance energy, which inhibits excessive aggregation of molecules.
[0044] Step S1332: Use single-crystal XRD technology to verify the spacing of the dimers to ensure that the discrete arrangement of the dimers conforms to the supramolecular design.
[0045] Further, the single-crystal XRD technology is based on the interaction between X-rays and atoms in the crystal. When X-rays irradiate a single-crystal sample, the atoms in the crystal cause the X-rays to scatter. The scattered X-rays interfere with each other and produce a diffraction phenomenon in specific directions, forming a regular diffraction pattern. These diffraction patterns contain rich information about the crystal structure, such as the positions of atoms, bond lengths, bond angles, etc., and thus the discrete arrangement of the dimers can be verified.
[0046] Step S140: Adopt a multimodal perception algorithm to dynamically fuse multiple groups of cross-modal features, and optimize the matching between the multimodal perception algorithm and the discrete supramolecular dimerization material, so as to achieve rapid adjustment of the lighting device when the ambient light intensity suddenly changes, reduce the visual fatigue of users, and reduce the color temperature error of the lighting device.
[0047] In an embodiment of the present invention, adopting a multimodal perception algorithm to dynamically fuse multiple groups of cross-modal features may include steps S141 - S143: Step S141: Dynamically allocate the contribution degrees of visual features and tactile features.
[0048] Step S142: Based on the contribution degrees of visual features and tactile features, dynamically fuse multiple groups of cross-modal features through an attention weighted fusion method.
[0049] Further, the attention weighted fusion can be represented by the following formula: :
[0050] Wherein, represents visual features, represents tactile features, represents a learnable weight matrix for dynamically allocating modal weights, represents attention weights, which are normalized through the softmax function, represents the number of modalities, m represents the modal index.
[0051] Step S143: Model training and optimization. A joint training strategy can be adopted for multitask learning and contrast learning. Dropout or weight decay can be used to prevent overfitting, and the convergence stability can be improved through cosine annealing or warm-up strategies.
[0052] In a preferred embodiment of the present invention, when optimizing the matching between the multimodal perception algorithm and the discrete supramolecular dimerization material, the luminous efficiency can be represented by the following formula: :
[0053] Wherein, represents the photoluminescence quantum yield (for example, the ABH - BNCz chiral molecule can reach 97%), represents the light extraction efficiency, which is related to the device structure, represents the charge balance factor, represents the reverse intersystem crossing rate to improve the utilization rate of triplet excitons, represents the triplet exciton lifetime.
[0054] Step S150: Using the ion channel self-healing model, adjust the carrier mobility of the discrete supramolecular dimerization material bent, and dynamically feedback it to the lighting device for automatic adjustment, so as to achieve the purpose of automatically repairing the cracks generated by bending and improving the sensitivity of pressure sensing in the lighting device.
[0055] In the embodiment of the present invention, the cracks generated after multiple bends can be repaired by the dynamic recombination of B-O bonds. For example, the discrete dimer maintains a horizontal dipole orientation degree > 90%, and the luminous efficiency recovery rate > 95% after 10,000 bends.
[0056] In the preferred embodiment of the present invention, the mobility adjustment can be represented by the following formula :
[0057] Wherein, represents the electron mobility, characterizing the carrier transport efficiency, represents the initial mobility, represents the activation energy, reflecting the difficulty of dynamic bond breaking, represents the Boltzmann constant, represents the temperature, represents the deformation sensitivity coefficient, quantifying the influence of stress on the mobility, represents the local stress generated by the bending of the device.
[0058] Step S160: Verify the automatic adjustment performance of the lighting device through the synergistic effect of the multimodal perception algorithm and the discrete supramolecular dimerization material.
[0059] In the embodiment of the present invention, optimizing the matching between the multimodal perception algorithm and the discrete supramolecular dimerization material may include steps S161 - S162: Step S161: Calculate the photoluminescence quantum yield based on the ABH-BNCz chiral molecule.
[0060] In the preferred embodiment of the present invention, the photoluminescence quantum yield can be represented by the following formula :
[0061] Wherein, represents the light absorption rate, represents the incident light power, represents the measurement time.
[0062] Step S162: Based on the photoluminescence quantum yield, calculate the light efficiency value of the discrete supramolecular dimerization material through the light efficiency optimization model to optimize the matching between the multimodal perception algorithm and the discrete supramolecular dimerization material.
[0063] In a preferred embodiment of the present invention, verifying the automatic adjustment performance of the lighting device may include steps S1601 - S1602: Step S1601: Calculate the color purity using the color coordinate deviation method to verify the narrowband emission characteristics and luminous efficiency characteristics of the lighting device.
[0064] Further, the color coordinate deviation can be represented by the following formula :
[0065] where , represents the measured coordinates, , represents the target color coordinates, and the color purity is verified through the color coordinate deviation.
[0066] Step S1602: Adjust the color temperature using the pupil tracking algorithm, combined with the response time and color temperature error, to verify the dynamic response characteristics and smear characteristics of the lighting device.
[0067] Further, the core objective of the pupil tracking algorithm is to accurately locate and real - time track the pupil position through image processing or deep - learning models. The eyeball can be irradiated with an infrared light source, and a stable light spot is formed by corneal reflection. The position of the pupil center changes with the line - of - sight direction. When irradiated coaxially with infrared light, the pupil appears as a bright spot, which is applicable to light - colored pupils and low light levels; when irradiated off - axis, the pupil appears as a dark area, which is applicable to dark - colored pupils and strong light levels. The corneal reflection and pupil images can be synchronously collected through an infrared LED and a camera.
[0068] For example, the response time of the pupil tracking algorithm to adjust the color temperature (e.g., 2700K - 6500K) is < 10ms, and the color temperature error is < 2%, which improves the dynamic response characteristics and reduces the smear characteristics.
[0069] Accordingly, an embodiment of the present application provides an automatic adjustment method for a lighting device based on environmental perception. The automatic adjustment method for the lighting device includes: using the LSL protocol to align the clocks of multiple groups of sensors deployed, so as to synchronously collect multimodal data of the lighting device by using the multiple groups of sensors; performing normalization processing on the multimodal data and extracting multiple groups of cross-modal features; generating a discrete supramolecular dimerization material for the lighting device; adopting a multimodal perception algorithm to dynamically fuse the multiple groups of cross-modal features and optimize the matching between the multimodal perception algorithm and the discrete supramolecular dimerization material; and adopting an ion channel self-healing model to adjust the carrier mobility of the bent discrete supramolecular dimerization material and dynamically feedback it to the lighting device for automatic adjustment. By generating the discrete supramolecular dimerization material of the lighting device and combining with the multimodal perception algorithm, the embodiment of the present application can achieve narrowband emission under a high doping concentration, greatly improve the luminous efficiency, and quickly adjust when the ambient light intensity suddenly changes, so as to reduce the visual fatigue of users and reduce the color temperature error of the lighting device; through the ion channel self-healing model, the carrier mobility of the bent discrete supramolecular dimerization material can be adjusted, thereby repairing the cracks generated by bending and improving the sensitivity of pressure sensing.
[0070] Second Embodiment An embodiment of the present invention provides an automatic adjustment system for a lighting device based on environmental perception. The automatic adjustment system for the lighting device includes a control module. The control module includes a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the computer program to implement the automatic adjustment method for the lighting device in any one of the above.
[0071] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0072] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate for realizing the process Figure 1One or more processes and / or blocks Figure 1 Apparatus for the functions specified in one or more blocks
[0073] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device that implements the functions in the process Figure 1 One or more processes and / or blocks Figure 1 The functions specified in one or more blocks
[0074] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions in the process Figure 1 One or more processes and / or blocks Figure 1 The steps of the functions specified in one or more blocks
[0075] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory
[0076] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media
[0077] Computer-readable media includes permanent and non-permanent, removable and non-removable media and can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves
[0078] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, commodity or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the phrase "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the element.
[0079] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.
Claims
1. An automatic adjustment method for a lighting device based on environmental perception, characterized in that The method for automatically adjusting the lighting device includes: Using the LSL protocol to align the clocks of multiple groups of sensors deployed to synchronously collect multi-modal data of the lighting device by the multiple groups of sensors; Normalizing the multi-modal data and extracting multiple groups of cross-modal features; Generating a discrete supramolecular dimerization material for the lighting device; Adopting a multi-modal perception algorithm to dynamically fuse the multiple groups of cross-modal features and optimizing the matching between the multi-modal perception algorithm and the discrete supramolecular dimerization material; and Adopting an ion channel self-healing model to adjust the carrier mobility of the bent discrete supramolecular dimerization material and dynamically feedback to the lighting device for automatic adjustment.
2. The automatic adjustment method of the lighting device according to claim 1, wherein The multiple groups of sensors include visual sensors, tactile sensors, and ambient light sensors.
3. The automatic adjustment method of the lighting device according to claim 1, wherein, The multi-modal data includes visual data, vibration data, and frequency-domain data. The multiple groups of cross-modal features include visual features, tactile features, and ambient light features. The extraction of the multiple groups of cross-modal features includes: Adopting the convolution of a pre-trained ResNet-50 model to extract the visual features of the visual data; Extracting the tactile features of the vibration data according to the Mel frequency cepstral coefficients; Extracting the ambient light features of the frequency-domain data through Fourier transform.
4. The automatic adjustment method of the lighting device according to claim 1, characterized in that, The generation of the discrete supramolecular dimerization material for the lighting device includes: For the material of the lighting device, introducing a helical arylamine unit and using the large twisted configuration of the helical arylamine unit to generate steric hindrance; Based on the helical configuration of the helical arylamine unit, through the Suzuki–Miyaura coupling reaction, combining with the planar nucleus of the BNCz skeleton to form an ABH-BNCz chiral molecule; Based on the ABH-BNCz chiral molecule, generating a discrete supramolecular dimerization material for the lighting device and verifying the discrete supramolecular dimerization material using an energy optimization model.
5. The automatic adjustment method of the lighting device according to claim 4, characterized in that, The verification of the discrete supramolecular dimerization material using the energy optimization model includes: Based on the steric hindrance, calculating the total energy of the discrete supramolecular dimerization material to ensure the discrete arrangement of the dimers of the discrete supramolecular dimerization material; Adopting single-crystal XRD technology to verify the spacing of the dimers to ensure that the discrete arrangement of the dimers conforms to the supramolecular design.
6. The automatic adjustment method of the lighting device according to claim 1, characterized in that The adoption of the multi-modal perception algorithm to dynamically fuse the multiple groups of cross-modal features includes: Dynamically allocating the contribution degrees of the visual features and the tactile features; Based on the contribution degrees of the visual features and the tactile features, dynamically fusing the multiple groups of cross-modal features through an attention weighted fusion method.
7. The automatic adjustment method of the lighting device according to claim 4, characterized in that, The optimization of the matching between the multi-modal perception algorithm and the discrete supramolecular dimerization material includes: Based on the ABH-BNCz chiral molecule, calculating the photoluminescence quantum yield; Based on the photoluminescence quantum yield, calculating the light efficiency value of the discrete supramolecular dimerization material through a light efficiency optimization model to optimize the matching between the multi-modal perception algorithm and the discrete supramolecular dimerization material.
8. The automatic adjustment method of the lighting device according to claim 1, characterized in that, The method for automatically adjusting the lighting device further includes: Verifying the automatic adjustment performance of the lighting device through the synergistic effect of the multi-modal perception algorithm and the discrete supramolecular dimerization material.
9. The automatic adjustment method of the lighting device according to claim 8, characterized in that, The verification of the automatic adjustment performance of the lighting device includes: The color purity is calculated by using the color coordinate deviation method to verify the narrowband emission characteristics and luminous efficiency characteristics of the lighting device; The color temperature is adjusted by using the pupil tracking algorithm, combined with the response time and color temperature error, to verify the dynamic response characteristics and smear characteristics of the lighting device.
10. An automatic adjustment system for a lighting device based on environmental perception, characterized in that, The automatic adjustment system of the lighting device includes a control module, and the control module includes a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the computer program to implement the automatic adjustment method of the lighting device according to any one of claims 1-9.