KTV intelligent light control method and device

Abstract

The invention discloses a KTV intelligent light control method and device. The method comprises the following steps: S1, extracting song feature data from a song requesting system, wherein the song feature data comprises low-frequency energy EL, a rhythm feature Tbeat, an emotion label Cemtion and a refrain time point tcorus; s2, generating a light theme template based on the Cemtion and the Tbeat, and setting a switching time point; s3, separating the microphone signal X (t) into a human voice track V (t) and an accompaniment track A (t) through a pre-trained real-time source separation model; s4, adjusting spotlight parameters according to the volume VdB and pitch change rate # imgabs0 # of the human voice track V (t), and driving an atmosphere lamp according to the frequency spectrum of the accompaniment track A (t); s5, acquiring a personnel distribution thermodynamic diagram H (x, y) through an infrared thermal imaging sensor, and acquiring an action amplitude parameter Mlevel through a millimeter wave radar; and S6, fusing personnel distribution and motion amplitude data. According to the invention, KTV intelligent light control can be carried out more intelligently.

Description

Technical Field

[0001] The present invention relates to the field of lighting control, and in particular to a KTV intelligent lighting control method and device. Background Art

[0002] The technical background of KTV lighting control integrates multiple fields such as lighting engineering, automation control, network communication and audio and video processing. Its core goal is to achieve dynamic, intelligent, highly responsive and easy-to-operate sound and light linkage effects.

[0003] The existing KTV lighting control technology has the following technical problems: it can only achieve simple rhythm following, and cannot analyze deep features such as song emotional tags and chorus timing points; the lighting effect is disconnected from the music emotion, the human voice and accompaniment signals are not separated, and the lighting cannot be dynamically adjusted according to details such as human voice volume and pitch changes; there is a lack of real-time perception of the distribution of people on the scene and the amplitude of their movements; the lighting focus is fixed, and it cannot dynamically track the performers or respond to group interactive behaviors; the lighting system cannot automatically switch to safety warning or comfort mode according to the environmental status; the lighting on mode is fixed, and it runs at full power regardless of the density of people, resulting in energy waste when the passenger flow is low and insufficient effect when the passenger flow is high. Therefore, a KTV intelligent lighting control method and device are proposed. Summary of the Invention

[0004] The technical problem to be solved by the present invention is how to solve the problem of low intelligence and poor control effect of existing lighting control methods, and provides a KTV intelligent lighting control method and device.

[0005] The present invention solves the above technical problems through the following technical solutions, which include the following steps:

[0006] S1: The song request system extracts song feature data: low-frequency energy E L , rhythm characteristics T beat , emotional label C emotion and chorus time point t chorus ;

[0007] S2: Based on C emotion With T beat Generate a light theme template according to formula t switch =t chorus +k·T beat Set the switching time point, k is the switching sequence number ( K is the maximum number of switching times);

[0008] S3: Separate the microphone signal X(t) into the vocal track V(t) and the accompaniment track A(t) through a pre-trained real-time source separation model;

[0009] S4: According to the volume V of the vocal track V(t) dB and pitch change rate Adjust the spotlight parameters to drive the atmosphere light according to the spectrum of the accompaniment track A(t);

[0010] S5: Obtain the personnel distribution heat map H(x,y) through the infrared thermal imaging sensor and obtain the motion amplitude parameter M through the millimeter wave radar level , and divide the main singing area and grade the movement amplitude;

[0011] S6: Fusion of the personnel distribution heat map H(x,y) and the motion amplitude parameter M level , dynamically allocate sound and light resources.

[0012] Furthermore, the specific process of step S2 includes:

[0013] Sentiment label mapping rules:

[0014]

[0015] When the system time reaches t switch , forcefully update the light theme template.

[0016] Furthermore, the process of adjusting the spotlight parameters in step S4 includes:

[0017] Spotlight brightness L main =β·max(V dB ,V min );

[0018] V dB is the volume of human voice, V min is the volume protection threshold, V min =μ new +20, μ new is the environmental noise baseline value, β is the brightness gain coefficient, and the emotional label C emotion Sure;

[0019] when When the pulse hue shift is triggered

[0020] Furthermore, the specific process of step S5 includes:

[0021] Divide the main singing area by the personnel distribution heat map:

[0022] Main vocal area R sing ={(x,y)|H(x,y)>μ h};

[0023] R sing Indicates that the concentration of people is higher than the threshold μh The region where the lead singer is located, μ h is the thermal intensity threshold, which is 60%-80% of the maximum value of the heat map;

[0024] To grade the range of motion:

[0025]

[0026] in is the average radar reflection intensity.

[0027] μm is the reflection intensity threshold (μ m ∈[15,25]).

[0028] Furthermore, the specific process of step S6 is:

[0029] Enhancement of main vocal area resources: the spotlight range is reduced to the main vocal area R sing area, and when the action amplitude is graded M level =High activity, spotlight beam diameter reduced by 30%;

[0030] Group action synchronization: When the main vocal area R is detected sing When the area jumps collectively, the whole field strobe frequency is triggered. The whole field strobe frequency acquisition process is:

[0031] When multiple people waving are detected, the surround light effect is activated.

[0032] Furthermore, the method further includes controlling the lighting according to the environmental information, and the specific process is as follows:

[0033] Collect smoke concentration C smoke With temperature T env ;

[0034] When the smoke concentration C smoke >ρ th When the color is turned off, the cool white temperature is switched:

[0035] When the temperature T env >T th When the ambient light is on, the color temperature shifts to blue-green.

[0036] where ρ th is the smoke concentration threshold, T th is the temperature threshold, ρ th ∈[20,50]μg / m 3 , T th ∈[28,32]℃.

[0037] Furthermore, the method further includes performing energy-saving control based on occupant density, the specific process of which is as follows:

[0038] Calculate the population density based on the heat map:

[0039] When ρ human <ρ low Time: Turn off the non-main singing area atmosphere lights and reduce the brightness of the spotlights;

[0040] When ρ human >ρ high When: Activates all backup lamps and expands the accompaniment response spectrum bandwidth to the full frequency band.

[0041] Furthermore, the method further includes generating special effects for group action linkage, and the specific process is as follows:

[0042] Detecting synchronized motion via millimeter-wave radar:

[0043] coincident index

[0044] The number of synchronous moving points is defined as the number of points with a displacement direction difference of less than 15°;

[0045] When S>σ s And the duration t>t min hour:

[0046] If the action is jumping, a vertical beam sweep effect is triggered;

[0047] If the action is waving, a radial rainbow ripple diffusion effect is triggered;

[0048] σ s is the synchronization index threshold (σ s ∈[0.6,0.8]), when S exceeds this value, it is considered as effective group synchronization;

[0049] t min The minimum duration threshold for the special effect trigger (t min ∈[1.0,3.0]s);

[0050] Special effect duration T fx =min(k·T beat ,T max ), where k∈[2,4], T max =10s.

[0051] Furthermore, the KTV intelligent lighting control device includes:

[0052] Music analysis module: connect to the song ordering system API interface and output low-frequency energy E L , rhythm characteristics T beat , emotional label C emotionand chorus time point t chorus ;

[0053] Sound source separation module: Based on the pre-trained real-time source separation model, it outputs the vocal track V(t) and the accompaniment track A(t);

[0054] Personnel perception module: includes infrared thermal imaging array and millimeter wave radar, outputs H(x,y) and M level ;

[0055] Dynamic decision maker: receives music features, personnel data and environmental parameters, controls the decision logic of the method, and generates spotlight control signals and ambient light control signals;

[0056] Environmental interface: connect smoke sensor to measure C smoke And temperature and humidity sensor measures T env ;

[0057] The dynamic decision maker comprises:

[0058] Regional optimization unit: According to the main singing area R sing Dynamically adjust the spotlight PTZ angle;

[0059] Action response unit: When the action amplitude is graded M level = High activity, adjust the ambient light change rate to

[0060] v original is the original change rate generated according to the music characteristics, κ is the adjustment coefficient;

[0061] Also includes collaborative enhancement modules:

[0062] In the chorus period t∈[t chorus ,t chorus +ΔT], if M is detected level =Highly active:

[0063] Spotlight strobe frequency locked to

[0064] The hue cycle speed of the ambient light is increased by 50%;

[0065] ΔT is the synergistic enhancement period, ΔT = α·T beat ·N chorus ;

[0066] N chorus The number of times the chorus is repeated is obtained through the metadata of the song request system;

[0067] α is the emotion regulation coefficient,

[0068] Compared with the existing technology, the present invention has the following advantages: the KTV intelligent lighting control method deeply integrates lighting and music: by extracting the emotion, rhythm and other characteristics of the song to generate a dynamic lighting theme, and switching the lighting effect in combination with the chorus time point, the lighting changes synchronously with the music rhythm and emotional atmosphere, enhancing the user's immersion, separating the human voice and accompaniment signals, driving the spotlight and atmosphere light respectively, adjusting the lighting parameters in real time according to the human voice volume, pitch change and accompaniment spectrum, and realizing the accurate feedback of the lighting on the singing details, based on the personnel distribution heat map and movement amplitude data, dynamically allocating sound and light resources, strengthening the lighting effect of the main singing area, synchronously triggering group movement special effects, and improving the interactive experience, automatically switching the lighting color temperature or color according to environmental parameters such as smoke concentration and temperature, optimizing indoor comfort, and adapting to the needs of different scenarios, intelligently adjusting the lighting brightness, opening range and spectrum response bandwidth based on the personnel density, reducing energy consumption when the crowd is low and enhancing the effect when the crowd is high, achieving a balance between energy efficiency and experience, and generating comprehensive control signals through the linkage of modules such as music analysis, sound source separation and personnel perception combined with dynamic decision logic, making the lighting system more intelligent. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0070] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process. However, the protection scope of the present invention is not limited to the following embodiment.

[0071] like Figure 1 As shown, this embodiment provides a technical solution: a KTV intelligent lighting control method and device, including the following steps:

[0072] S1: Extract song feature data from the song request system: low-frequency energy E L , rhythm characteristics T beat , emotional label C emotion and chorus time point t chorus ;

[0073] S2: Based on C emotion With T beat Generate a light theme template according to formula t switch =t chorus +k·T beat Set the switching time point, k is the switching sequence number ( is the maximum number of switching times);

[0074] S3: Separate the microphone signal X(t) into the vocal track V(t) and the accompaniment track A(t) through a pre-trained real-time source separation model;

[0075] S4: According to the volume V of the vocal track V(t) dB and pitch change rate Adjust the spotlight parameters to drive the atmosphere light according to the spectrum of the accompaniment track A(t);

[0076] S5: Obtain the personnel distribution heat map H(x,y) through the infrared thermal imaging sensor and obtain the motion amplitude parameter M through the millimeter wave radar level , and divide the main singing area and grade the movement amplitude;

[0077] S6: Fusion of the personnel distribution heat map H(x,y) and the motion amplitude parameter M level , dynamically allocate sound and light resources.

[0078] The specific process of step S2 includes:

[0079] Sentiment label mapping rules:

[0080]

[0081] Chorus time t chorus Determined by detecting sudden changes in spectral energy variance;

[0082] When the system time reaches t switch When forced to update the light theme template;

[0083] Through the mapping mechanism between emotional tags and lighting modes and the intelligent detection logic of chorus time points, dynamic coordination between lighting effects and musical emotions and rhythm is achieved.

[0084] Directly linking the song's emotional tags (such as cheerfulness and romance) to specific lighting modes (multi-color fast-changing, pink-purple slow gradient), allows the lighting to automatically match the emotional tone of the music, enhancing the consistency and immersion of the scene atmosphere.

[0085] The chorus timing is detected through the sudden change of spectrum energy variance, and the lighting theme switching timing is set based on the rhythm characteristics, so that the lighting effect can accurately match the climax of the music, improving the rhythm and interactivity of the user experience.

[0086] For example, when playing a pop song with a cheerful emotional label, the chorus speeds up. According to the mapping rules of the RGB multi-color fast-changing mode corresponding to "cheerful", the lights automatically switch to a fast-changing effect of red, green, blue and other colors, creating a lively atmosphere.

[0087] The system detects the chorus time point, the spectrum energy variance suddenly changes, and triggers the light theme according to formula t switch =t chorus +k·T beatSwitching, for example, at the first and second rhythm points (k=0,1) after the chorus begins, further speed up the color change frequency or add a flashing effect to enhance the visual impact of the music climax.

[0088] The process of adjusting the spotlight parameters in step S4 includes:

[0089] Spotlight brightness L main =β·max(V dB ,V min );

[0090] V dB is the volume of human voice, V min is the volume protection threshold, V min =μ new +20, μ new is the environmental noise baseline value, β is the brightness gain coefficient, and the emotional label C emotion Sure;

[0091] when When the pulse hue shift is triggered

[0092] γ is the threshold of pitch change rate, η is the hue shift intensity coefficient, which is determined by the pitch change rate of the human voice and the emotional label;

[0093] The brightness of the spotlight is directly related to the volume of the performance. The louder the volume, the brighter the light, which can highlight the singer's main position in real time. Especially when there are multiple people singing or the accompaniment volume is high, the brightness difference can enhance the lead singer's presence.

[0094] The pulsed hue shift is triggered based on the pitch change rate. When the pitch rises or falls rapidly, the light color changes in a jumpy manner, converting the auditory signal into a visual dynamic effect, enhancing the emotional appeal and interactive fun of the performance.

[0095] The specific process of step S5 includes:

[0096] Divide the main singing area by the personnel distribution heat map:

[0097] Main vocal area R sing ={(x,y)|H(x,y)>μ h};

[0098] R sing Indicates that the concentration of people is higher than the threshold μ h The region where the lead singer is located, μ h is the thermal intensity threshold, which is 60%-80% of the maximum value of the heat map;

[0099] To grade the range of motion:

[0100]

[0101] in is the average radar reflection intensity.

[0102] μm is the reflection intensity threshold, μ m ∈[15, 25].

[0103] The specific process of step S6 is as follows:

[0104] Enhanced resources in the main vocal area: the spotlight range is reduced to the main vocal area R sing area, and when the action amplitude is graded M level =High activity, spotlight beam diameter reduced by 30%;

[0105] Group action synchronization: When the main vocal area R is detected sing When the area jumps collectively, the whole field strobe frequency is triggered. The whole field strobe frequency acquisition process is:

[0106] When multiple people waving are detected, the surround streamer effect is activated;

[0107] Through the personnel distribution heat map segmentation and action amplitude classification mechanism, the dynamic and accurate allocation of lighting resources and the enhancement of interactive experience are achieved. Based on the infrared thermal imaging heat map H (x, y) segmentation of the main singing area R sing , real-time identification of the singer's position enables the spotlight to automatically focus on the core performance area, avoiding light dispersion and improving the clarity of the visual center. By quantifying and grading the movement amplitude through millimeter-wave radar data, the lighting system can differentiate and adjust the effect parameters according to the activity level of the person (such as low activity / high activity), enhancing the flexibility of interaction and scene adaptability;

[0108] For example, in a KTV box, a singer stands in the center of the stage and continues to sing, accompanied by large movements such as waving and jumping (average radar reflection intensity M level , determined as high activity), the main singing area R is segmented according to the heat map sing , the spotlight automatically shrinks the irradiation range to this area to highlight the main body of the singer;

[0109] Since M level = High activity, triggering lighting effects adjustments (such as reducing the diameter of the spotlight beam, increasing the brightness, or speeding up the flashing frequency of the ambient light), dynamically responding to high-activity actions and enhancing the appeal of the on-site atmosphere.

[0110] The method further includes performing lighting control according to environmental information, and the specific process is as follows:

[0111] Collect smoke concentration C smoke With temperature T env ;

[0112] When the smoke concentration C smoke >ρ th When the color is turned off, the cool white temperature is switched:

[0113] When the temperature T env >T th When the ambient light is on, the color temperature shifts to blue-green.

[0114] where ρ th is the smoke concentration threshold, T th is the temperature threshold, ρ th ∈[20,50]μg / m 3 , T th ∈[28,32]℃;

[0115] When the smoke concentration exceeds the standard, the light will automatically switch to cool white temperature, improving the visibility of the space, helping users to detect potential risks (such as abnormal smoke) in time, and enhancing the safety of the KTV scene.

[0116] Dynamically adjust the color temperature of the ambient light according to temperature changes (shifting to blue-green at high temperatures), improving the user's subjective perception of ambient temperature through visual cues and enhancing physical comfort;

[0117] If there are many people in the KTV box, the smoke concentration C smok rises above the threshold ρ th , such as 30 μg / m 3 , while room temperature T env Increase to 30℃, exceeding T env >T th =28℃.

[0118] C detected smoke >ρ th , immediately switch all lights to cool white temperature, improve the brightness and clarity of the environment, and make it easier for people to observe the surrounding situation;

[0119] At the same time, T env >T th The ambient light automatically adjusts to a blue-green color scheme, such as from warm yellow to ice blue. The cool visual effect can alleviate the stuffiness caused by high temperatures and optimize the user experience.

[0120] The method further includes energy-saving control based on occupant density, and the specific process is as follows:

[0121] Calculate the population density based on the heat map:

[0122] A room is the effective area of the KTV room, which is pre-stored in the system and deducts the furniture area. x,yH(x,y) represents the sum of the intensity values of all pixels in the heat map;

[0123] When ρ human <ρ low Time: Turn off the non-main singing area atmosphere lights and reduce the brightness of the spotlights;

[0124] When ρ human >ρ high When: Activate all backup lamps and expand the accompaniment response spectrum bandwidth to the full frequency band;

[0125] ρ low is the low density threshold, ρ high is the high density threshold;

[0126] Dynamically shut down lights in non-essential areas or reduce brightness based on occupancy density to avoid energy waste when lights are fully on when there are few people. This is especially suitable for periods of low passenger flow, significantly reducing power consumption and operating costs.

[0127] Automatically activate backup lamps and expand the spectrum response bandwidth when there is a high density of people, enhancing the richness and layering of lighting effects, meeting the visual needs of multi-person interactive scenes, and avoiding idle resources or insufficient effects caused by redundant equipment;

[0128] For example, scenario 1: low crowd density, such as only two people singing quietly in the box:

[0129] The system calculates the population density ρ through the heat map human <ρ low , determined to be a low flow state;

[0130] Lighting control: Turn off the ambient lights in the non-main singing area of the box, retaining only the spotlights in the main singing area, and reduce the brightness of the spotlights to 50% of the default value, thereby reducing energy consumption while ensuring basic lighting.

[0131] Scenario 2: High crowd density, such as 10 people singing together in a private room;

[0132] ρ detected human >ρ high , determined to be a high flow state;

[0133] Lighting control: Activate all backup lighting fixtures, such as the ceiling starlight and wall projection lights, and expand the spectrum bandwidth of the accompaniment response from the default mid-high frequency to the full frequency band, so that the light flashes and color changes are more in line with the music details, enhancing the warm atmosphere of group interaction.

[0134] The method also includes generating special effects for group action linkage, and the specific process is as follows:

[0135] Detecting synchronized motion via millimeter-wave radar:

[0136] coincident index

[0137] The number of synchronous moving points is defined as the number of points with a displacement direction difference of less than 15°;

[0138] When S>σ s And the duration t>t min hour:

[0139] If the action is jumping, a vertical beam sweep effect is triggered;

[0140] If the action is waving, a radial rainbow ripple diffusion effect is triggered;

[0141] σ s is the synchronization index threshold, σ s ∈[0.6,0.8), when S exceeds this value, it is considered as effective group synchronization;

[0142] t min is the minimum duration threshold for special effects triggering, t min ∈[1.0,3.0]s;

[0143] Special effect duration T fx =min(k·T beat ,T max ), where k∈[2,4], T max =10s;

[0144] Based on millimeter-wave radar data, the synchronization index S is quantified to accurately identify multi-person collaborative actions, such as jumping and waving, triggering exclusive lighting effects, enhancing the interactive connection between users and the warm atmosphere on site.

[0145] The special effect triggering condition combines the action synchronization and duration, and the special effect duration is combined with the music rhythm T beat Binding allows lighting effects to respond to both immediate actions and fit the music structure, enhancing the coordination and immersion of the overall experience.

[0146] If more than 5 people in a KTV box wave their hands at the same time (the proportion of synchronous movement points exceeds 60%, S>σ s = 0.6 and lasts for 2 seconds), and is currently in the chorus period.

[0147] This is determined to be a valid group synchronized action (waving), triggering a radial rainbow ripple diffusion effect, with the light color spreading outward from the center of the waving as the origin;

[0148] The duration of the special effect is calculated according to the formula T fx =min(k·T beat ,T max )Calculation (take k = 3, T beat= 0.5 seconds), which means it lasts for 1.5 seconds and ends synchronously with the chorus rhythm, strengthening the sense of rhythm of collective interaction.

[0149] The KTV intelligent lighting control device includes:

[0150] Music analysis module: connect to the song ordering system API interface and output low-frequency energy E L , rhythm characteristics T beat , emotional label C emotion and chorus time point t chorus ;

[0151] Sound source separation module: Based on the pre-trained real-time source separation model, it outputs the vocal track V(t) and the accompaniment track A(t);

[0152] Personnel perception module: includes infrared thermal imaging array and millimeter wave radar, outputs H(x,y) and M level ;

[0153] Dynamic decision maker: receives music features, personnel data and environmental parameters, controls the decision logic of the method, and generates spotlight control signals and ambient light control signals;

[0154] Environmental interface: connect smoke sensor to measure C smoke And temperature and humidity sensor measures T env ;

[0155] The dynamic decision maker comprises:

[0156] Regional optimization unit: According to the main singing area R sing Dynamically adjust the spotlight PTZ angle;

[0157] Action response unit: When the action amplitude is graded M level = High activity, adjust the ambient light change rate to

[0158] v original is the original change rate generated according to the music characteristics, κ is the adjustment coefficient;

[0159] Also includes collaborative enhancement modules:

[0160] In the chorus period t∈[t chorus ,t chorus +ΔT], if the motion amplitude level M is detected level =Highly active:

[0161] Spotlight strobe frequency locked to

[0162] The hue cycle speed of the ambient light is increased by 50%;

[0163] ΔT is the synergistic enhancement period, ΔT = α·T beat ·N chorus ;

[0164] N chorus The number of times the chorus is repeated is obtained through the metadata of the song request system;

[0165] α is the emotion regulation coefficient,

[0166] In the above process, the modules of music analysis, sound source separation, and personnel perception each perform their own functions and interact with each other, forming a complete link from data acquisition, signal processing to decision execution, ensuring the real-time and accurate lighting control.

[0167] The environmental interface is connected to smoke and temperature sensors, and the dynamic decision maker combines multi-source data to generate comprehensive control signals, allowing the device to respond to music and human movements, and automatically adjust lighting strategies according to environmental conditions, such as safety warnings and comfort optimization;

[0168] The collaborative enhancement module dynamically adjusts lighting parameters based on emotional tags and chorus rhythm, achieving a three-dimensional linkage of emotion, rhythm, and action, and enhancing the immersive and layered user experience.

[0169] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0170] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0171] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A KTV intelligent lighting control method, characterized in that: The following steps are involved: S1: Extract song feature data from the song request system: low-frequency energy E L , rhythm characteristics T beat , emotional label C emotion and chorus time point t chorus ; S2: Based on sentiment label C emotion With rhythm characteristics T beat Generate a lighting theme template and combine it with the chorus time point t chorus Set the switching time point; S3: Separate the microphone signal X(t) into the vocal track V(t) and the accompaniment track A(t) through a pre-trained real-time source separation model; S4: According to the volume V of the vocal track V(t) dB and pitch change rate Adjust the spotlight parameters to drive the atmosphere light according to the spectrum of the accompaniment track A(t); S5: Obtain the personnel distribution heat map H(x,y) through the infrared thermal imaging sensor and obtain the motion amplitude parameter M through the millimeter wave radar level , and divide the main singing area and grade the movement amplitude; S6: Fusion of the personnel distribution heat map H(x,y) and the motion amplitude parameter M level , dynamically allocate sound and light resources.

2. A KTV intelligent lighting control method according to claim 1, characterized in that: The specific process of step S2 includes: The lighting theme template is set through the emotion tag mapping rules, specifically: When the system time reaches the switching time point, the light theme template is forced to update.

3. A KTV intelligent lighting control method according to claim 1, characterized in that: The process of adjusting the spotlight parameters in step S4 includes: Spotlight brightness L main =β·max(V dB ,V min ); when When the pulse hue shift is triggered 4. A KTV intelligent lighting control method according to claim 1, characterized in that: The specific process of step S5 includes: Divide the main singing area by the personnel distribution heat map: Main vocal area R sing ={(x,y)|H(x,y)>μ h }; To grade the range of motion: in is the average radar reflection intensity; μm is the reflection intensity threshold.

5. A KTV intelligent lighting control method according to claim 1, characterized in that: The specific process of step S6 is as follows: Enhanced resources in the main vocal area: the spotlight range is reduced to the main vocal area R sing area, and when the action amplitude is graded M level =High activity, the spotlight beam diameter is reduced; Group action synchronization: When the main vocal area R is detected sing When the area jumps collectively, the whole field strobe frequency is triggered. The whole field strobe frequency acquisition process is: When multiple people waving are detected, the surround light effect is activated.

6. A KTV intelligent lighting control method according to claim 1, characterized in that: The method further includes performing lighting control according to environmental information, and the specific process is as follows: Collect smoke concentration C smoke With temperature T env ; When the smoke concentration C smoke >ρ th When the color is turned off, the cool white temperature is switched: When the temperature T env >T th When the ambient light is on, the color temperature shifts to blue-green. where ρ th is the smoke concentration threshold, T th is the temperature threshold.

7. A KTV intelligent lighting control method according to claim 1, characterized in that: The method further includes energy-saving control based on occupant density, and the specific process is as follows: Calculate the personnel density based on the personnel distribution heat map: When ρ human <ρ low Time: Turn off the non-main singing area atmosphere lights and reduce the brightness of the spotlights; When ρ human >ρ high When: Activates all backup lamps and expands the accompaniment response spectrum bandwidth to the full frequency band.

8. A KTV intelligent lighting control method according to claim 1, characterized in that: The method also includes generating special effects for group action linkage, and the specific process is as follows: Detecting synchronized motion via millimeter-wave radar: coincident index When S>σ s And the duration t>t min hour: If the action is jumping, a vertical beam sweep effect is triggered; If the action is waving, a radial rainbow ripple diffusion effect is triggered; σ s is the synchronization index threshold, when S exceeds this value, it is considered as effective group synchronization; t min The minimum duration threshold for triggering special effects; Special effect duration T fx =min(k·T beat ,T max ).

9. A KTV intelligent lighting control device, applied to the control method according to any one of claims 1 to 8, characterized in that: The KTV intelligent lighting control device includes: Music analysis module: connect to the song ordering system API interface and output low-frequency energy E L , rhythm characteristics T beat , emotional label C emotion and chorus time point t chorus ; Sound source separation module: Based on the pre-trained real-time source separation model, it outputs the vocal track V(t) and the accompaniment track A(t); Personnel perception module: includes infrared thermal imaging array and millimeter wave radar, outputs H(x,y) and M level ; Dynamic decision maker: receives music features, personnel data and environmental parameters, controls the decision logic of the method, and generates spotlight control signals and ambient light control signals; Environmental interface: connect to smoke sensor and temperature and humidity sensor; The dynamic decision maker comprises: Regional optimization unit: According to the main singing area R sing Position dynamic adjustment of spotlight PTZ angle; Action response unit: When the action amplitude is graded M level = High activity, adjust the ambient light change rate to: v original is the original change rate generated according to the music characteristics, κ is the adjustment coefficient; Also includes collaborative enhancement modules: In the chorus period t∈[t chorus ,t chorus +ΔT], if M is detected level =Highly active: Spotlight strobe frequency locked to At the same time, the speed of the hue cycle of the atmosphere light is increased.

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