Intelligent adjusting system for side ambient light of surface-mounted flat lamp

Abstract

The application discloses a side ambient light intelligent adjusting system applied to a surface-mounted flat lamp and relates to the technical field of light adjusting.The technical problem that the prior art can only adjust the ambient light according to the music style and cannot perfectly match the actual environment, resulting in few applicable scenes of the ambient light and affecting user experience is solved.In the application, the central control module identifies the true sound proportion in the received audio data, calculates the environment score according to the true sound proportion, judges whether ambient light adjustment is needed through the environment score, then calculates the concentration score of the target user according to the image data, and judges whether intelligent adjustment of the side ambient light is needed by combining the environment score and the concentration score.The application first dynamically analyzes the environment, reduces invalid adjustment of the side ambient light, then analyzes the concentration of the target user, and the combination of the two can gradually determine the environment scene of the target user, thereby improving user experience.

Description

Technical Field

[0001] This invention belongs to the field of lighting adjustment and relates to intelligent adjustment technology for the side ambient lighting of surface-mounted flat panel lights, specifically an intelligent adjustment system for the side ambient lighting of surface-mounted flat panel lights. Background Technology

[0002] People can choose and control the brightness, grayscale, and color of ambient lights in different spaces and times according to their own needs and scenarios to create a lighting atmosphere that matches their emotions.

[0003] Existing technology (patent application CN114684013A) discloses an intelligent ambient lighting adjustment system and control method for in-vehicle interiors. This system collects current music clips, identifies the timbre, pitch, and rhythm of the clips, determines the music style, and then determines the target flashing pattern for the ambient lighting based on that style. The system controls the ambient lighting to flash according to this pattern to enhance the driver's experience. However, this existing technology, which adjusts ambient lighting solely based on music style, does not adequately match the actual environment, resulting in limited adaptability and a reduced user experience. Therefore, there is an urgent need for a more versatile and environmentally friendly intelligent ambient lighting adjustment system for side ambient lighting on surface-mounted flat panel lights. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an intelligent side ambient lighting adjustment system for surface-mounted flat panel lights, which solves the technical problem that the existing technology adjusts the ambient light only according to the music style, which cannot perfectly match the actual environment, resulting in limited applicable scenarios for the ambient light and affecting the user experience.

[0005] To achieve the above objectives, a first aspect of the present invention provides an intelligent adjustment system for the side ambient lighting of a surface-mounted flat panel light, including a central control module, and a data acquisition module and a lighting adjustment module connected thereto; the lighting adjustment module is used to adjust the surface-mounted flat panel light and its side ambient lighting.

[0006] The data sensor connected to the data acquisition module collects audio and image data within the set area, and sends the associated audio and image data to the central control module.

[0007] The central control module analyzes the proportion of true voice in the audio data to determine the environment score, and analyzes the associated image data to determine the focus score; it combines the environment score and the focus score to determine whether to intelligently adjust the side ambient lights; if yes, it intelligently adjusts according to the identified environment scene; otherwise, it adjusts according to the default scene.

[0008] Preferably, the central control module is communicatively and / or electrically connected to the data acquisition module and the lighting adjustment module, respectively; and the lighting adjustment module is communicatively and / or electrically connected to the surface-mounted flat panel light.

[0009] The data acquisition module communicates with and / or is electrically connected to the data sensors; wherein the data sensors include audio sensors, image sensors, or video sensors.

[0010] Preferably, the central control module analyzes the proportion of true voice in the audio data to determine the environmental score, including:

[0011] The audio data is denoised according to the environmental scene, and then the real human voice and non-real human voice are extracted from the audio data. The duration of the real human voice and the duration of the non-real human voice in the audio data are counted and marked as ZS and FZS respectively.

[0012] The environmental score HF is calculated using the formula HF = α × FZS / ZS; where α is a proportional coefficient set based on experience, and the default value of α is 1.

[0013] Preferably, before calculating the environmental score based on the audio data, the target user for ambient lighting adjustment is determined, including:

[0014] By setting a target user through a smart terminal connected to the central control module, the target user's voiceprint characteristics are sent to the central control module, which then extracts the real human voice based on the voiceprint characteristics; or

[0015] When no target user is set through a smart terminal, the real person in the area where the surface-mounted flat panel light is set is marked as the target user, and the target user is calculated as a whole when calculating the environmental score.

[0016] Preferably, the central control module determines the focus score based on the image data, including:

[0017] Identify environmental scenes through image data; these environmental scenes include entertainment scenes, exercise scenes, study scenes, or rest scenes.

[0018] Identify the target user's attention duration ZC in the environmental scene; calculate the attention score ZF using the formula ZF = β × ZC / TC; where β is a proportional coefficient set based on experience, and TC is the total duration corresponding to the image data.

[0019] Preferably, the central control module determines whether to intelligently adjust the side ambient lighting by combining environmental score and focus score, including:

[0020] The adjustment evaluation coefficient TPX is calculated using the formula TPX = γ1 × HF + γ2 × ZF; where γ1 and γ2 are both weight coefficients greater than 0, and γ1 + γ2 = 1.

[0021] When the evaluation coefficient TPX ≥ TPY, the environmental scene is identified, and the side ambient light is intelligently adjusted according to the environmental scene; otherwise, the side ambient light is adjusted according to the default scene.

[0022] Preferably, after determining to adjust the side ambient lighting, the central control module identifies the environmental scene corresponding to the target user in the image data using an artificial intelligence model; and

[0023] Extract the ambient light features corresponding to the environmental scene, and intelligently adjust the side ambient light based on the ambient light features; wherein, the ambient light features include brightness, color or flashing frequency.

[0024] Preferably, the central control module automatically determines the adjustment cycle, collects audio and image data within the set area according to the adjustment cycle, and then determines the adjustment evaluation coefficient to realize the intelligent adjustment of the side ambient light; wherein, the adjustment cycle is set according to the change range of the environment score or focus score.

[0025] A side ambient lighting intelligent adjustment device for surface-mounted flat panel lights includes a processor and a storage medium. The storage medium stores operation instructions, and the processor executes the operation instructions to control the operation of the side ambient lighting intelligent adjustment system for surface-mounted flat panel lights.

[0026] A method for intelligent adjustment of side ambient lighting applied to surface-mounted flat panel lights includes:

[0027] The data sensor connected to the data acquisition module collects audio and image data within the set area, and sends the associated audio and image data to the central control module.

[0028] The central control module analyzes the proportion of true voice in the audio data to determine the environment score, and analyzes the associated image data to determine the focus score; it combines the environment score and the focus score to determine whether to intelligently adjust the side ambient lights; if yes, it intelligently adjusts according to the identified environment scene; otherwise, it adjusts according to the default scene.

[0029] Compared with the prior art, the beneficial effects of the present invention are as follows: The central control module of the present invention identifies the true voice ratio in the received audio data, calculates the environment score based on the true voice ratio, and determines whether the ambient lighting needs to be adjusted based on the environment score. Then, it calculates the target user's focus score based on the image data, and combines the environment score and focus score to determine whether the side ambient lighting needs to be intelligently adjusted. The present invention first performs dynamic analysis of the environment to reduce ineffective adjustments of the side ambient lighting, and then analyzes the target user's focus. The combination of the two can gradually determine the target user's environmental scene, thereby improving the user experience. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a schematic diagram of the system principle of the present invention;

[0032] Figure 2 This is a schematic diagram illustrating the working steps of the present invention. Detailed Implementation

[0033] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Existing technologies for adjusting ambient lighting generally rely on emotion recognition, that is, identifying the user's emotions and matching appropriate ambient lighting features based on those emotions. However, adjusting ambient lighting solely based on user emotions cannot guarantee the accuracy of emotion recognition, nor can it broaden the applicability of intelligent ambient lighting control systems, thus impacting user experience.

[0035] The central control module in this invention identifies the proportion of true voice in the received audio data, calculates an environmental score based on the proportion of true voice, and determines whether ambient lighting adjustment is needed based on the environmental score. Then, it calculates the target user's focus score based on image data, and combines the environmental score and focus score to determine whether intelligent adjustment of the side ambient lighting is needed. This invention first performs dynamic analysis of the environment to reduce ineffective adjustments of the side ambient lighting, and then analyzes the target user's focus. Combining the two can gradually determine the target user's environmental scenario, thereby improving the user experience.

[0036] Please see Figures 1-2The first aspect of this invention provides an intelligent side ambient lighting adjustment system for surface-mounted flat panel lights, including a central control module, and a data acquisition module and a lighting adjustment module connected thereto. The lighting adjustment module is used to adjust the surface-mounted flat panel light and its side ambient lighting. Audio data and image data within the set area are acquired by a data sensor connected to the data acquisition module, and the associated audio data and image data are sent to the central control module. The central control module analyzes the true sound ratio in the audio data to determine an environmental score, and analyzes the associated image data to determine a focus score. The environmental score and focus score are combined to determine whether to intelligently adjust the side ambient lighting. If yes, intelligent adjustment is performed according to the identified environmental scene; otherwise, adjustment is performed according to the default scene.

[0037] In this invention, the central control module is communicatively and / or electrically connected to the data acquisition module and the lighting adjustment module respectively; and the lighting adjustment module is communicatively and / or electrically connected to the surface-mounted flat panel light; the data acquisition module is communicatively and / or electrically connected to the data sensor; wherein, the data sensor includes an audio sensor, an image sensor or a video sensor.

[0038] The central control module is primarily responsible for data processing. It collects data from the data acquisition module, processes it, and then sends adjustment signals to the lighting adjustment module. The data acquisition module connects to data sensors and can collect video data via a camera and then separate the audio and image data, or it can collect audio and image data separately via relevant sensors. The lighting adjustment module mainly controls the surface-mounted flat panel lights and their side ambient lights based on the adjustment signals sent by the central control module.

[0039] In this invention, the central control module analyzes the proportion of real voice in audio data to determine the environment score, including: denoising the audio data according to the environmental scene, then extracting real and non-real voices from the audio data; calculating the duration of real voices and non-real voices in the audio data segment, and labeling them as ZS and FZS respectively; and calculating the environment score HF using the formula HF=α×FZS / ZS; where α is a proportional coefficient set based on experience, and the default value of α is 1.

[0040] The main basis for determining whether the side ambient lighting needs to be adjusted is whether the environment is noisy and whether the target user in the environment is focused. For example, if an elderly person in the living room is quietly watching a TV series, it is considered a quiet environment. If the elderly person is focused on watching the TV series, the side ambient lighting should be adjusted appropriately.

[0041] In this invention, "real human voice" refers to the actual voices of people, such as adults chatting or children playing. The duration of real and non-real human voices in the audio data is calculated, and the ratio between the two can be used to determine the noise level of the environment. In other words, the higher the environment score, the more likely the target is focused on doing something. It's important to note that the environment score is the foundation for the next step. When the environment score is very low, it's difficult to accurately identify the environmental scene, making further analysis and calculation difficult. In this case, the side ambient lighting can be adjusted according to the default scene. Of course, in scenarios like discussions, a lower environment score is better, and the environment score calculation formula should be adjusted accordingly.

[0042] In a preferred embodiment, before calculating the environmental score based on audio data, the target user for ambient lighting adjustment is determined, including: setting the target user through a smart terminal that is communicatively connected to the central control module, sending the voiceprint features of the target user to the central control module, and the central control module extracting the real person's voice based on the voiceprint features; or when the target user is not set through a smart terminal, marking the real person in the surface-mounted flat panel light setting area as the target user, and calculating the environmental score as a whole for the target user.

[0043] Target users can be set directly through smart terminals. For example, if the target user is a child in a nursery, the adjustment of the side ambient light should be centered around the child. If the system detects that the child is sleeping peacefully, the lighting characteristics of the side ambient light should have a sleep-inducing effect.

[0044] When the target user is not set directly through a smart terminal, all users in the area where the surface-mounted flat panel light is set are treated as a whole, and this whole group is the target user. For example, if a group of people are watching a TV series, the proportion of conversation is relatively small, and the target user is focused, then the side ambient light should be adjusted to enhance the atmosphere of the TV series as much as possible.

[0045] In this invention, the central control module determines the focus score based on image data, including: identifying the environmental scene through image data; wherein the environmental scene includes entertainment scene, exercise scene, learning scene or rest scene; identifying the focus duration ZC of the target user in the environmental scene; and calculating the focus score ZF using the formula ZF=β×ZC / TC; wherein β is a proportional coefficient set according to experience, and TC is the total duration corresponding to the image data.

[0046] When the environment is relatively quiet (or in some cases, lively), this invention also needs to identify whether the target user is focused on doing something in order to better adjust the side ambient lighting. This invention primarily uses image recognition technology to identify the proportion of time the target user is focused. For example, if an elderly person is focused on watching a TV series for eight minutes out of ten, a corresponding focus score can be calculated.

[0047] In a preferred embodiment, the central control module determines whether to intelligently adjust the side ambient lights by combining the environmental score and the attention score, including: calculating the adjustment evaluation coefficient TPX using the formula TPX=γ1×HF+γ2×ZF; where γ1 and γ2 are both weight coefficients greater than 0, and γ1+γ2=1; when the adjustment evaluation coefficient TPX≥TPY, the environmental scene is identified, and the side ambient lights are intelligently adjusted according to the environmental scene; otherwise, the side ambient lights are adjusted according to the default scene.

[0048] In this embodiment, the environmental score and the focus score are combined to calculate the adjustment evaluation coefficient. The higher the environmental score, the more suitable the environment is for adjusting the side ambient lighting; the higher the focus score, the more adjusting the side ambient lighting will improve the target user experience. In other words, the higher the adjustment evaluation coefficient, the more necessary and easier it is to adjust the side ambient lighting.

[0049] In this invention, after determining the side ambient light to be adjusted, the central control module identifies the environmental scene corresponding to the target user in the image data through an artificial intelligence model; and extracts the ambient light features corresponding to the environmental scene, and intelligently adjusts the side ambient light according to the ambient light features; wherein, the ambient light features include brightness, color or flashing frequency.

[0050] Each environmental scene is equipped with several ambient light features that meet the requirements of that scene. After adjusting the evaluation coefficient to a high level, the specific environmental scene can be identified based on the image data, and then the corresponding ambient light features can be retrieved. The lighting adjustment module can then intelligently adjust the lighting based on these ambient light features.

[0051] In this invention, the central control module automatically determines the adjustment cycle, collects audio and image data within the set area according to the adjustment cycle, and then determines the adjustment evaluation coefficient to realize the intelligent adjustment of the side ambient light; wherein, the adjustment cycle is set according to the change range of the environment score or focus score.

[0052] Although adjusting the evaluation coefficient does not require real-time calculation, the environment score or focus score can be calculated in real time to determine whether the environment score or focus score changes abruptly. If a change occurs, it indicates that the environment may have changed, and the control strategy of the side ambient light needs to be adjusted.

[0053] An intelligent side ambient lighting adjustment device for surface-mounted flat panel lights includes a processor and a storage medium. The storage medium stores operation instructions, and the processor executes the operation instructions to control the operation of the intelligent side ambient lighting adjustment system for surface-mounted flat panel lights.

[0054] A method for intelligent adjustment of side ambient lighting applied to surface-mounted flat panel lights includes: collecting audio and image data within a set area via a data sensor connected to a data acquisition module; sending the correlated audio and image data to a central control module; the central control module analyzing the true sound ratio in the audio data to determine an environmental score, and analyzing the correlated image data to determine a focus score; combining the environmental score and the focus score to determine whether to intelligently adjust the side ambient lighting; if yes, intelligent adjustment is made according to the identified environmental scene; otherwise, adjustment is made according to the default scene.

[0055] The data in the above formula are all calculated by removing the dimensions and taking the numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0056] Working principle of the invention:

[0057] Audio and image data within the set area are collected by data sensors connected to the data acquisition module, and the associated audio and image data are sent to the central control module.

[0058] The central control module analyzes the proportion of true voice in the audio data to determine the environment score, and analyzes the associated image data to determine the focus score; it combines the environment score and the focus score to determine whether to intelligently adjust the side ambient lights; if yes, it intelligently adjusts according to the identified environment scene; otherwise, it adjusts according to the default scene.

[0059] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An intelligent ambient lighting adjustment system for surface-mounted flat panel lights, comprising a central control module, and a data acquisition module and a lighting adjustment module connected thereto; the lighting adjustment module is used to adjust the surface-mounted flat panel light and its side ambient lighting; characterized in that: The data sensor connected to the data acquisition module collects audio and image data within the set area, and sends the associated audio and image data to the central control module. The central control module analyzes the proportion of true voice in the audio data to determine the environment score, and analyzes the associated image data to determine the focus score; The environmental score and focus score are combined to determine whether to intelligently adjust the side ambient lighting; Yes, it will intelligently adjust according to the identified environmental scenario; No, then adjust according to the default scenario; Before calculating the environmental score based on the audio data, the target users for ambient lighting adjustment are determined, including: By setting a target user through a smart terminal connected to the central control module, the target user's voiceprint characteristics are sent to the central control module, which then extracts the real human voice based on the voiceprint characteristics; or When no target user is set through a smart terminal, the real person in the area where the surface-mounted flat panel light is set is marked as the target user, and the target user is calculated as a whole when calculating the environmental score; The central control module analyzes the proportion of true voice in the audio data to determine the environmental score, including: The audio data is denoised according to the environmental scene, and then the real human voice and non-real human voice are extracted from the audio data. The duration of the real human voice and the duration of the non-real human voice in the audio data are counted and marked as ZS and FZS respectively. The environmental score HF is calculated using the formula HF=α×FZS / ZS; where α is a proportional coefficient set based on experience, and the default value of α is 1. The central control module determines a focus score based on image data, including: Identify environmental scenes through image data; these environmental scenes include entertainment scenes, exercise scenes, study scenes, or rest scenes. Identify the target user's attention duration ZC in the environmental scene; calculate the attention score ZF using the formula ZF=β×ZC / TC; where β is a proportional coefficient set based on experience, and TC is the total duration corresponding to the image data; The central control module automatically determines the adjustment cycle, collects audio and image data within the set area according to the adjustment cycle, and then determines the adjustment evaluation coefficient to realize the intelligent adjustment of the side ambient light; wherein, the adjustment cycle is set according to the change range of the environment score or focus score.

2. The intelligent side ambient lighting adjustment system for surface-mounted flat panel lights according to claim 1, characterized in that, The central control module is communicatively and / or electrically connected to the data acquisition module and the lighting adjustment module, respectively; and the lighting adjustment module is communicatively and / or electrically connected to the surface-mounted flat panel light. The data acquisition module communicates with and / or is electrically connected to the data sensors; wherein the data sensors include audio sensors, image sensors, or video sensors.

3. The intelligent side ambient lighting adjustment system for surface-mounted flat panel lights according to claim 1, characterized in that, The central control module, in conjunction with environmental and focus scores, determines whether to intelligently adjust the side ambient lighting, including: The adjustment evaluation coefficient TPX is calculated using the formula TPX=γ1×HF+γ2×ZF; where γ1 and γ2 are both weight coefficients greater than 0, and γ1+γ2=1; When the evaluation coefficient TPX ≥ TPY, the environmental scene is identified, and the side ambient light is intelligently adjusted according to the environmental scene; otherwise, the side ambient light is adjusted according to the default scene.

4. The intelligent side ambient lighting adjustment system for surface-mounted flat panel lights according to claim 3, characterized in that, After determining to adjust the side ambient lighting, the central control module uses an artificial intelligence model to identify the environmental scene corresponding to the target user in the image data; and Extract the ambient light features corresponding to the environmental scene, and intelligently adjust the side ambient light based on the ambient light features; wherein, the ambient light features include brightness, color or flashing frequency.

5. An intelligent adjustment device for side ambient lighting of surface-mounted flat panel lights, characterized in that, It includes a processor and a storage medium, the storage medium being used to store operation instructions, the processor executing the operation instructions to control the operation of the intelligent side ambient lighting adjustment system for surface-mounted flat panel lights as described in any one of claims 1 to 4.

6. A method for intelligent adjustment of side ambient lighting for surface-mounted flat panel lights, based on the operation of the intelligent adjustment system for side ambient lighting of surface-mounted flat panel lights as described in any one of claims 1 to 4, characterized in that, include: The data sensor connected to the data acquisition module collects audio and image data within the set area, and sends the associated audio and image data to the central control module. The central control module analyzes the proportion of true voice in the audio data to determine the environment score, and analyzes the associated image data to determine the focus score; The environmental score and focus score are combined to determine whether to intelligently adjust the side ambient lighting; Yes, it will intelligently adjust according to the identified environmental scenario; No, then adjust according to the default scenario.

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