A multi-scene adaptive stage lighting control method, system and medium

Abstract

The application discloses a multi-scene adaptive stage lighting control method and system and a medium, relates to the technical field of novel lighting, and comprises the following steps: acquiring type parameters and initial environment data of a target stage scene, and obtaining initial control parameters of a stage lighting system; in the process that the stage lighting system performs scene light compensation according to the initial control parameters, collecting performance dynamic data in real time and calculating an adaptive deviation value of a current lighting effect and the type parameters of the scene; performing multi-dimensional parameter fusion processing on the adaptive deviation value, and obtaining dynamic lighting adaptive parameters; calculating a light effect deformation variable under the current scene according to the dynamic lighting adaptive parameters, and synchronously adjusting a projection angle, a color temperature parameter and a light intensity distribution model of the stage lighting device according to the light effect deformation variable; and the application provides a stage lighting intelligent control technology which can adapt to various performance scenes and improve the lighting control effect.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new lighting technology, in particular to a multi-scene adaptive stage lighting control method, system and medium. BACKGROUND

[0002] In the current stage lighting control system, there is often a lack of sufficient scene adaptation capability. This means that whenever there is a new performance or different performance scene, technical personnel need to manually program and debug. This approach is not only inefficient, but also due to the limitations of human operation, it is difficult to ensure that the light effect can be consistent and accurate each time, thereby affecting the overall performance effect.

[0003] Therefore, how to provide a stage lighting intelligent control technology that can adapt to multiple performance scenes and improve the lighting control effect has practical application value and significance. SUMMARY

[0004] In order to provide a stage lighting intelligent control technology that can adapt to multiple performance scenes and improve the lighting control effect, the present application provides a multi-scene adaptive stage lighting control method, system and medium.

[0005] In the first aspect, the application purpose of the present application is realized by adopting the following technical scheme:

[0006] A multi-scene adaptive stage lighting control method, comprising:

[0007] Obtaining the type parameter and the initial environment data of the target stage scene to obtain the initial control parameter of the stage lighting system;

[0008] In the process of scene light compensation of the stage lighting system according to the initial control parameter, real-time collection of performance dynamic data and calculation of the adaptive deviation value of the current light effect and the scene type parameter;

[0009] Multi-dimensional parameter fusion processing is performed on the adaptive deviation value to obtain dynamic light adaptation parameters;

[0010] According to the dynamic light adaptation parameters, the light effect deformation variable under the current scene is calculated, and the projection angle, color temperature parameter and light intensity distribution model of the stage lighting device are adjusted synchronously according to the light effect deformation variable.

[0011] By adopting the technical scheme, a stage lighting intelligent control method which can adapt to various performance scenes and improve the lighting control effect is provided. Specifically, the type parameters (such as theater type, performance form, and audience seat layout) and initial environment data (such as natural light intensity, sound field environment, and temperature and humidity) of a target stage scene are obtained, the scene characteristics and environment parameters are fused, the scene adaptation rigidity problem caused by the dependence of a traditional lighting system on fixed preset parameters is solved, the initial control parameters have scene adaptability, the stage lighting system can quickly initialize and adapt to different stage scenes (such as concerts, dramas, and immersive performances), when scene light compensation is performed under the control of the initial parameters, real-time dynamic deviation detection and closed-loop feedback are realized by collecting performance dynamic data (such as actor motion trajectory, stage machinery displacement, and audience visual field distribution), the pain point that the traditional lighting system cannot dynamically respond to performance changes is solved, the deviation degree of the lighting effect from the scene demand is identified in real time, the deviation value is taken as an input, multi-dimensional parameters are fused, single deviation correction is realized to systematic parameter reconstruction, the lighting control parameters are highly matched with the complex scene, and the stage lighting system has cross-scene migration capability, for example, when the stage lighting system is seamlessly switched from a drama scene to a dance scene, the light intensity gradient and color temperature transition are natural and have no discontinuity, and the scene generalization capability is strong.

[0012] In a preferred example of the present application, the real-time performance dynamic data is collected and the adaptation deviation value of the current lighting effect and the scene type parameters is calculated, including:

[0013] Real-time motion trajectory data of the stage machinery and actor motion capture data are obtained.

[0014] Current light field distribution data is collected by a distributed light sensor network, and the light field distribution data includes light intensity gradient, color temperature distribution, and light spot coverage range.

[0015] Based on the stage machinery motion data and the light field distribution data, a space-time deviation model is constructed, and the adaptation deviation value of the current lighting effect and the type parameters in the light intensity adaptation deviation, color temperature adaptation deviation, and light spot coverage deviation dimensions is calculated, wherein the light intensity adaptation deviation is the root mean square error of the actual light intensity distribution and the preset light intensity model, the color temperature adaptation deviation is the deviation degree of the current color temperature value from the color temperature target value required by the performance emotion feature, and the light spot coverage deviation is the overlap rate of the dynamic light spot position and the actor motion trajectory.

[0016] By adopting the technical solution, the motion trajectory data of the stage machinery and the motion capture data of the actors are collected in real time, and the current light field distribution is obtained in combination with the distributed light sensor network, so that the accurate calculation of the adaptation deviation value of the light effect and the scene type parameter is realized. The application can dynamically respond to any changes occurring on the stage, ensuring that the light effect is highly consistent with the performance requirements. In particular, by constructing a space-time deviation model, the adaptation degree of light intensity, color temperature and light spot coverage can be accurately evaluated.

[0017] In a preferred example of the present application, the multi-dimensional parameter fusion processing of the adaptation deviation value is performed to obtain dynamic light adaptation parameters, specifically including:

[0018] The light intensity adaptation deviation, color temperature adaptation deviation and light spot coverage deviation are input into a dynamic weight distribution model to generate priority weights in each dimension;

[0019] In combination with historical scene data and real-time environmental parameters, dynamic compensation parameters are calculated:

[0020] The light intensity adjustment compensation value AL = a x RMSE + b x (T ambient / T standard );

[0021] The color temperature adjustment compensation value AT = g x color temperature deviation + d x (R(t) - S(t));

[0022] Where a and b are scene adaptation weight coefficients, g is an emotion driving coefficient (0.6 < g < 1.0), and d is a historical compensation coefficient (0.1 < d < 0.3); RMSE is the root mean square error of the light intensity distribution; T ambient is the current environmental temperature; T standard is the nominal operating temperature of the lamp; R(t) is the real-time performance emotion feature value (0-1); and S(t) is the historical scene color temperature reference value.

[0023] The dynamic compensation parameters and the initial control parameters are superimposed to generate a dynamic light adaptation parameter group containing a projection angle offset, a color temperature correction value and a light intensity distribution coefficient.

[0024] By adopting the above technical solution, the multi-dimensional parameter fusion processing of the adaptation deviation value is performed to generate dynamic light adaptation parameters, so as to combine the influence of historical scene data and real-time environmental parameters, realize more intelligent and personalized light control, determine the priority weights in each dimension by using a dynamic weight distribution model, so that the system can flexibly adjust the light settings according to the requirements of different performances, and by calculating the dynamic compensation parameters, the gap between the actual lighting conditions and the ideal state can be effectively made up, and the consistency and stability of the light effect are improved.

[0025] In a preferred example of the present application: the light effect deformation variable under the current scene is calculated according to the dynamic light adaptation parameter, and the projection angle, color temperature parameter and light intensity distribution model of the stage lighting device are synchronously adjusted according to the light effect deformation variable, which includes:

[0026] According to the dynamic adaptation parameter, the light spot deformation radius and the color temperature drift amount are predicted by simulating the light effect deformation process through the ray tracing algorithm, wherein the calculation formula of the light spot deformation radius is: R deform = R initial × (1+k×ΔL), and the calculation formula of the color temperature drift amount is: ΔT drift =T target ×e^(-ΔT / 100), wherein R deform is the equivalent radius after light spot deformation; R initial is the initial light spot radius; k is the light intensity adjustment sensitivity coefficient; ΔT drift is the actual drift amount after color temperature adjustment; T target is the target color temperature; e is the natural logarithm base number (≈2.718);

[0027] According to the light spot deformation radius and the color temperature drift amount, the multi-axis linkage adjustment of the projection angle, color temperature parameter and light intensity distribution of the stage lamp is performed.

[0028] By using the above technical scheme, the light effect deformation variable under the current scene is calculated according to the dynamic light adaptation parameter, and each parameter of the stage lighting device is synchronously adjusted accordingly. The ray tracing algorithm is used to simulate the light effect deformation process, which provides a powerful tool for lighting designers to predict and optimize the lighting effect. The present application can not only accurately adjust the projection angle, color temperature parameter and light intensity distribution model, but also ensure that the lighting effect naturally transitions with the changes of the performance process, avoiding the influence of abrupt changes on the audience experience.

[0029] In a preferred example of the present application: the light effect deformation variable under the current scene is calculated, and the projection angle, color temperature parameter and light intensity distribution model of the stage lighting device are synchronously adjusted according to the light effect deformation variable, which further includes:

[0030] The lamp heat dissipation parameter and the power parameter are monitored in real time, and a lamp performance decay model is constructed:

[0031] The light intensity decay coefficient k attenuation =1-(T current -T standard ) / T Max

[0032] The color temperature offset compensation ΔT compensation =k attenuation ×ΔT drift ; wherein T current is the real-time thermal imaging temperature of the lamp; TMax is the maximum allowable temperature of the lamp;

[0033] According to the lamp performance attenuation model, the light efficiency deformation prediction parameter is dynamically corrected, and a light protection mechanism is triggered, wherein the light protection mechanism comprises:

[0034] When k attenuation <0.8, automatically reduce the capacity operation;

[0035] When ΔT drift >200K, start the standby color temperature calibration protocol.

[0036] By adopting the above technical scheme, the process of correcting the light efficiency deformation prediction parameter based on the lamp performance attenuation model is refined, and the light protection mechanism is introduced. The present application aims to monitor and compensate the performance decline of the lamp caused by long-time operation, such as light intensity weakening and color temperature drift, etc. By real-time monitoring of the lamp heat dissipation and power parameters, potential risks can be found in time and corresponding measures can be taken to ensure the stable operation of the light system.

[0037] In a preferred example of the present application, the method further comprises:

[0038] According to the projection angle offset of the stage lighting device, the spot coverage area boundary parameters of each lamp are obtained, and the luminous flux equalization value of the light intensity distribution model after deformation compensation is calculated;

[0039] The calculation of the luminous flux equalization value comprises:

[0040] The optical sensor data of each lamp is collected, and a light intensity distribution matrix is established;

[0041] The light intensity distribution matrix is calculated to obtain a luminous flux attenuation compensation coefficient;

[0042] The luminous flux attenuation compensation coefficient is convoluted with a dynamic adaptation parameter to generate a final light intensity distribution model;

[0043] The final light intensity distribution model is optimized in sharpness by an edge enhancement algorithm, realizing light efficiency self-adaptive adjustment in multiple scenes.

[0044] By adopting the above technical scheme, the spot coverage area boundary parameters of each lamp are calculated and the luminous flux equalization adjustment after deformation compensation, which can accurately control the light distribution of each lamp, ensures the uniformity and consistency of the light on the entire stage; by collecting the optical sensor data to establish the light intensity distribution matrix, and combining the dynamic adaptation parameter to generate the final light intensity distribution model through convolution operation, the flexibility of the light layout is improved.

[0045] In a preferred example of the present application, the light intensity distribution model adjustment comprises:

[0046] establish a sub-area control matrix according to the performance area segmentation result;

[0047] a dynamic light intensity focusing algorithm Q = ∫(I x e^(-k attenuation x r))dr is implemented on the main performance area;

[0048] a diffuse reflection compensation algorithm R = R0 x (1-e^(-λd))

[0049] wherein Q is the total effective light intensity; I is the initial light intensity of the light source at a distance r; r is the radial distance of a point on the light propagation path to the light source; R is the light intensity after diffuse reflection compensation; R0 is the basic diffuse reflection light intensity; λ is the diffuse reflection diffusion coefficient; and d is the horizontal distance from the auxiliary performance area to the main light source.

[0050] By using the above technical solutions, the sub-area control matrix is established according to the performance area segmentation result, the dynamic light intensity focusing algorithm is implemented on the main performance area, and the diffuse reflection compensation algorithm is used on the auxiliary performance area. The sub-area lighting strategy can provide the most suitable light intensity and distribution mode according to the characteristics of different areas, ensuring that the main performance area receives enough attention and highlights, and also providing soft and uniform background lighting for the auxiliary performance area.

[0051] In a second aspect, the application aims to achieve the following technical solutions:

[0052] A multi-scene adaptive stage lighting control system, the system comprising:

[0053] a scene parameter acquisition module, configured to acquire type parameters and initial environment data of a target stage scene, and generate initial control parameters of a stage lighting system;

[0054] a dynamic monitoring module, configured to collect performance dynamic data in real time and calculate an adaptive deviation value of a current light effect and the scene type parameters during the process of scene light compensation of the stage lighting system according to the initial control parameters;

[0055] a parameter fusion processing module, configured to perform multi-dimensional parameter fusion processing on the adaptive deviation value to generate dynamic light adaptation parameters; and a light effect adjusting module, configured to calculate a light effect deformation variable under a current scene according to the dynamic light adaptation parameters, and adjust the projection angle, color temperature parameter and light intensity distribution model of the stage lighting device synchronously according to the light effect deformation variable.

[0056] In a preferred example of the present application, the dynamic monitoring module comprises:

[0057] a performance data acquisition unit, configured to acquire real-time motion trajectory data of stage machinery and actor motion capture data;

[0058] a light field detection unit for collecting current light field distribution data by a distributed light sensor network, the light field distribution data including light intensity gradient, color temperature distribution and light spot coverage range;

[0059] a space-time deviation modeling unit for constructing a space-time deviation model based on the stage mechanical movement data and the light field distribution data, and calculating the adaptation deviation value of the current lighting effect and the type parameter in the light intensity adaptation deviation, color temperature adaptation deviation and light spot coverage deviation dimensions.

[0060] In a third aspect, the application aims to achieve the following technical solutions:

[0061] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the above-mentioned multi-scene adaptation stage lighting control method.

[0062] In summary, the present application includes at least one of the following beneficial technical effects:

[0063] 1. In the process of real-time light compensation, the system collects performance dynamic data and calculates the adaptation deviation value of the current lighting effect and the scene type, so that the lighting can respond to stage changes such as actor actions or mechanical movements in real time, enhancing audience immersion and artistic expression; then, the multi-dimensional parameter fusion processing is performed on the adaptation deviation value to generate dynamic lighting adaptation parameters, and factors such as light intensity, color temperature and light spot coverage are considered to achieve accurate adjustment and improve the consistency and stability of the lighting effect; finally, the projection angle, color temperature and light intensity distribution model of the lighting device are adjusted according to the dynamic lighting adaptation parameters to ensure natural transition of light and shadow and avoid abrupt changes affecting the viewing experience; 2. The light tracing algorithm is used to simulate the light effect deformation process, providing a powerful tool for lighting designers to predict and optimize lighting effects. The present application not only can accurately adjust the projection angle, color temperature parameter and light intensity distribution model, but also can ensure that the lighting effect naturally transitions with the changes in the performance process. BRIEF DESCRIPTION OF DRAWINGS

[0064] Figure 1 is a flowchart of a multi-scene adaptation stage lighting control method in an embodiment of the present application;

[0065] Figure 2 is a flowchart of step S2 in a multi-scene adaptation stage lighting control method in an embodiment of the present application. DETAILED DESCRIPTION

[0066] The present application will be further described in detail below with reference to the accompanying drawings.

[0067] In an embodiment, as shown in Figure 1 , the present application discloses a multi-scene adaptation stage lighting control method, which specifically includes the following steps:

[0068] S1: Obtain the type parameters of the target stage scene and the initial environment data, and obtain the initial control parameters of the stage lighting system.

[0069] In this embodiment, the type parameters include scene type (such as concert / drama / dance), lighting effect requirement (light intensity distribution model, color temperature range, light spot shape), performance area division (main stage / side stage / audience area); the scene type includes concert, drama, etc.; the scene type is identified by matching the target scene type (such as concert, drama) through a preset database, and the corresponding light intensity distribution template, color temperature reference value and light spot coverage range parameters are called; the initial environment data includes stage size (length x width x height), audience layout, temperature and humidity sensor data, natural light intensity, stage machinery initial position (such as lifting platform height); the real-time environment parameters are obtained by deploying temperature and humidity sensors and light intensity sensors, and the three-dimensional coordinate model is established by scanning the stage space through laser radar.

[0070] Specifically, the scene type parameters are input into a pre-trained parameter generation model (such as a lighting configuration model based on CNN), and the initial projection angle (such as the main light pitch angle 30°), the color temperature reference value (4000K) and the light intensity distribution coefficient are output.

[0071] S2: In the process of scene light compensation of the stage lighting system according to the initial control parameters, real-time performance dynamic data is collected and the adaptation deviation value of the current lighting effect and the scene type parameters is calculated.

[0072] In this embodiment, the performance dynamic data includes stage machinery motion trajectory (such as lifting platform displacement), actor motion capture data (infrared marker point coordinates), light field distribution data (light intensity gradient, color temperature distribution, light spot coverage range). The adaptation deviation value refers to the gap between the actual lighting effect and the scene requirement, including light intensity adaptation deviation (RMSE), color temperature adaptation deviation (deviation degree) and light spot coverage deviation (overlap rate).

[0073] Specifically, the joint positions of the actors are tracked in real time by the OptiTrack optical motion capture system (sampling rate 120fps); the light field data (spectral resolution 5nm) are collected by the distributed light sensor network (100 nodes, interval 2m). The light intensity adaptation deviation is calculated by comparing the actual light intensity distribution with the preset template. Wherein, N is the total number of measurement points of the sensor, and i is the measurement point index; is the actual light intensity value of the i th measurement point; is the preset target light intensity value of the measurement point.

[0074] In this embodiment, as shown in Figure 2 Step S2 includes:

[0075] S21: Obtain real-time motion trajectory data of stage machinery and actor motion capture data.

[0076] In this embodiment, the stage machinery motion trajectory data includes real-time motion parameters such as vertical displacement of the lifting platform, horizontal rotation angle of the rotating platform, and translation distance of the side platform; the actor motion capture data is captured by infrared optical marker points (diameter ≤ 3 mm) at the joint positions of the actor (such as the shoulder, hip, and knee).

[0077] Specifically, the collection of stage machinery data is achieved by installing incremental encoders on key components such as the hydraulic cylinder of the stage lifting platform and the motor of the rotating platform, and transmitting position data to the control server in real time; data synchronization of multiple mechanical components is achieved through EtherCAT bus protocol. The motion capture deployment is achieved by pasting passive infrared reflective marker points on key parts of the actor's clothing during measurement, using 8 high-speed infrared cameras (frame rate 120 fps, resolution 1920x1080) to build a three-dimensional motion capture system, covering the entire stage area. The mechanical motion data (Cartesian coordinate system) and the motion capture data (joint coordinate system) are aligned through rigid body transformation algorithm (such as DH parameter method), and the global motion trajectory is generated.

[0078] S22: Collect current light field distribution data through a distributed optical sensor network, which includes light intensity gradient, color temperature distribution, and light spot coverage range.

[0079] In this embodiment, the light intensity gradient refers to the rate of change of light intensity per unit distance (unit: lux / m), reflecting the spatial distribution uniformity of illumination intensity; the color temperature distribution refers to the color temperature spatial distribution in the form of chromaticity diagram (CIE 1931), unit: K; the light spot coverage range is the area of the region where the light intensity is ≥ 50% of the peak light intensity, unit: m 2 .

[0080] Specifically, 32 distributed optical sensor nodes are arranged in different areas of the audience (front row / middle row / back row) and above the stage (directly above / sideways); each node integrates a light intensity sensor, a color temperature sensor, and a spectrometer; data is aggregated to the central controller through LoRaWAN wireless network.

[0081] S23: Based on the stage machinery motion data and the light field distribution data, construct a space-time deviation model, and calculate the adaptation deviation value of the current lighting effect and type parameter in the light intensity adaptation deviation, color temperature adaptation deviation, and light spot coverage deviation dimensions, wherein the light intensity adaptation deviation is the root mean square error between the actual light intensity distribution and the preset light intensity model, the color temperature adaptation deviation is the deviation of the current color temperature value from the color temperature target value required by the performance emotion characteristics, and the light spot coverage deviation is the overlap rate of the dynamic light spot position and the actor motion trajectory.

[0082] In this embodiment, the color temperature adaptation deviation wherein L1, a1 and b1 are the CIE 1931 Lab* color space coordinates of the actual light; L is the lightness component (0 = black, 100 = white), reflecting the brightness of the light; a is the red-green axis component (positive value for red, negative value for green); b is the yellow-blue axis component (positive value for yellow, negative value for blue); L2, a2 and b2 are the preset color temperature target values of the target scene (based on the emotional needs of the performance); for example, a theatrical scene requires L2 = 60, a2 = 5, b2 = 15 (neutral warm tone). Spot coverage deviation wherein OverlapRate is the percentage of actor area covered by the light spot, reflecting the coordination between light and motion; Masklight is the binary mask of the actual light spot coverage area; Maskactor is the binary mask of the actor motion trajectory.

[0083] Specifically, a long short-term memory network (LSTM) is used to construct a spatio-temporal deviation model, the input layer is mechanical motion data (10 dimensions) and light field data (3 dimensions), and the output layer is 3 types of deviation values; the model is trained using an Adam optimizer, and the loss function is a weighted mean square error (weights: light intensity deviation 0.5, color temperature deviation 0.3, and light spot deviation 0.2).

[0084] S3: Multi-dimensional parameter fusion processing is performed on the adaptation deviation values to obtain dynamic lighting adaptation parameters.

[0085] In this embodiment, step S3 includes:

[0086] S31: Input the light intensity adaptation deviation, color temperature adaptation deviation, and light spot coverage deviation into a dynamic weight distribution model to generate priority weights in each dimension.

[0087] In this embodiment, the dynamic weight distribution model is based on a machine learning algorithm (such as an LSTM neural network) that dynamically distributes the adjustment priorities of light intensity, color temperature, and light spot coverage according to the scene type.

[0088] Specifically, when training the dynamic weight distribution model, historical scene data (such as 100 concert data) is used to train the model, and the optimal weight distribution in each dimension is output; for example, in a concert scene, the color temperature weight is set to 0.6, the light intensity weight is 0.3, and the light spot weight is 0.1.

[0089] S32: Calculate the dynamic compensation parameters in combination with historical scene data and real-time environmental parameters:

[0090] Light intensity adjustment compensation value AL = a x RMSE + b x (T ambient / T standard );

[0091] Color temperature adjustment compensation value ΔT = γ × color temperature deviation degree + δ × (R(t) - S(t));

[0092] Wherein, α and β are scene adaptation weight coefficients, γ is emotion driving coefficient (0.6≤γ≤1.0), δ is history compensation coefficient (0.1≤δ≤0.3); RMSE is root mean square error of light intensity distribution; T ambient is current ambient temperature; T standard is nominal operating temperature of the luminaire; R(t) is real-time performance emotion characteristic value (0-1); S(t) is historical scene color temperature reference value;

[0093] S33: superimpose dynamic compensation parameters and initial control parameters to generate dynamic light adaptation parameter group containing projection angle offset, color temperature correction value and light intensity distribution coefficient.

[0094] In this embodiment, the projection angle offset is the adjustment amount of the horizontal / vertical rotation angle of the luminaire (unit: °); the color temperature correction value is the real-time adjustment amount of the target color temperature (unit: K); and the light intensity distribution coefficient is the scaling factor of the light intensity distribution matrix (for example, a coefficient of 1.2 represents a 20% increase in light intensity).

[0095] Specifically, the preset parameter superposition rule includes initial control parameters, dynamic compensation parameters and compensation parameter proportion, wherein the final parameter = initial parameter × (1 + compensation parameter proportion).

[0096] Multi-axis linkage adjustment includes projection angle adjustment, color temperature adjustment and light intensity adjustment; the projection angle adjustment drives the pitch angle and horizontal angle of the luminaire through a servo motor; the color temperature adjustment realizes continuous color temperature adjustment (accuracy ±25K) through an RGBW mixing light module; and the light intensity adjustment controls a dimming module through a DMX512 protocol (adjustment step 1%).

[0097] S4: according to the dynamic light adaptation parameters, calculate the light effect deformation variable under the current scene, and synchronously adjust the projection angle, color temperature parameters and light intensity distribution model of the stage lighting device according to the light effect deformation variable.

[0098] In this embodiment, the light effect deformation variable is the change of lighting effect caused by dynamic adaptation parameters, including: light spot deformation radius, color temperature drift and light intensity distribution distortion; the light spot deformation radius refers to the change of the geometric size of the light spot (such as the radius expanding from 2m to 2.5m); the color temperature drift refers to the actual deviation value of the color temperature (such as target color temperature 4000K→ measured 4020K); and the light intensity distribution distortion refers to the uniformity change of the light intensity spatial distribution (such as center overexposure, edge underexposure).

[0099] Specifically, step S4 includes:

[0100] S41: According to the dynamic adaptation parameters, the light effect deformation process is simulated by a ray tracing algorithm to predict the spot deformation radius and color temperature drift amount, wherein the calculation formula of the spot deformation radius is: R deform = R initial ×(1+k×ΔL), and the calculation formula of the color temperature drift amount is: ΔT drift = T target ×e^(-ΔT / 100), wherein R deform is the equivalent radius of the deformed spot; R initial is the initial spot radius; k is the light intensity adjustment sensitivity coefficient; ΔT drift is the actual drift amount after color temperature adjustment; T target is the target color temperature; and e is the natural logarithm base number (≈2.718).

[0101] In this embodiment, the ray tracing algorithm predicts the numerical calculation method of the spot shape, intensity distribution and color temperature change by simulating the propagation path of photons in space, which can be realized by using Monte Carlo ray tracing in optical simulation software. The light intensity adjustment sensitivity coefficient (k) is used to represent the scalar parameter (unit: m / lux) of the sensitivity of the light intensity change to the spot deformation, which needs to be obtained by experiment calibration. ΔT drift is the amount of color temperature deviation from the target value caused by light intensity adjustment (unit: K). The value of R deform becomes larger, indicating that the increase in light intensity causes the spot to diffuse, and the value of k reflects the diffusion characteristics of the optical design of the lamp. The color temperature drift amount represents the nonlinear relationship (exponential decay) between the spectral shift amount and the compensation amount caused by light intensity adjustment.

[0102] S42: According to the spot deformation radius and the color temperature drift amount, multi-axis linkage adjustment of the projection angle, color temperature parameter and light intensity distribution of the stage lamp is performed.

[0103] In this embodiment, multi-axis linkage adjustment refers to the coordinated action of the pitch angle (θ), the horizontal angle (φ), the RGBW mixed light ratio of the color temperature adjustment module, and the PWM duty ratio of the light intensity modulator of the lamp. The stage light DMX512 protocol controls the light intensity display parameters.

[0104] For example, the pitch angle adjustment in the projection angle adjustment is driven by a stepping motor to compensate for the spot diffusion; the horizontal angle adjustment in the projection angle adjustment is adjusted according to the position of the actor to maintain the spot coverage.

[0105] The RGBW mixed light control in the color temperature parameter adjustment can increase the blue channel duty ratio (B: 30% to 45%) and reduce the red channel (R: 25% to 15%) to offset the color temperature drift, which is fed back in real time by the spectral sensor, to ensure that the color temperature is stable at 5500±50K.

[0106] PWM dimming in light intensity distribution adjustment refers to reducing the PWM duty cycle of the main light source from 80% to 65%, and increasing the edge area to 75% to compensate for the deformation; and through the edge enhancement algorithm, the DMX512 control edge light band compensation light is maintained to maintain the spot sharpness.

[0107] Further, multi-axis cooperation needs to set priority execution mechanism, including safety priority and real-time priority, wherein the safety priority includes that light intensity adjustment cannot cause lamp overload (power upper limit 15kW, the specific value can be adjusted according to the specific parameters of stage lighting), the real-time priority such as color temperature adjustment response time≤100ms, and at the same time, the inverse kinematics algorithm is also needed to convert the spot target position into motor angle instruction.

[0108] In the embodiment, the light efficiency deformation variable in the current scene is calculated, and the projection angle, color temperature parameter and light intensity distribution model of the stage lighting device are adjusted synchronously according to the light efficiency deformation variable, which further includes:

[0109] The lamp heat dissipation parameters and power parameters are monitored in real time, and a lamp performance attenuation model is constructed.

[0110] Light intensity attenuation coefficient k attenuation =1-(T current -T standard ) / T Max

[0111] Color temperature offset compensation ΔT compensation =k attenuation ×ΔT drift ; wherein, T current is the real-time thermal imaging temperature of the lamp; T Max is the maximum allowable temperature of the lamp;

[0112] According to the lamp performance attenuation model, the light efficiency deformation prediction parameters are dynamically corrected, and the light protection mechanism is triggered, wherein the light protection mechanism includes:

[0113] When k attenuation <0.8, automatically run at reduced capacity; when ΔT drift >200K, start the standby color temperature calibration protocol.

[0114] In the embodiment, the projection angle adjustment adopts a double-shaft servo motor, the compensation angle θ comp =k1×ΔR is calculated according to the spot deformation radius ΔR, wherein k1 is the angle compensation coefficient, unit: ° / m, which is calibrated through historical data. The color temperature parameter adjustment is based on the color temperature drift ΔT drift , and the DMX512 protocol is used to control the RGBW channel duty cycle ΔW=k2×ΔT drift , wherein k2 is the color temperature compensation coefficient, unit: %K-1, such as k2=0.5% / K.

[0115] First, calculate the light intensity distribution distortion rate in the light effect deformation variable Using Zemax ray tracing software, input the deformation variable data (ΔR, η), recalculate the light intensity distribution matrix: Where k3 is the distortion correction coefficient; I(x, y, z) is the light intensity distribution matrix before correction, and I'(x, y, z) is the light intensity distribution matrix after correction.

[0116] Further, a multi-scene adaptive stage lighting control method further comprises:

[0117] S10: According to the projection angle offset of the stage lighting device, the light spot coverage area boundary parameter of each lamp is obtained, and the light flux balance value of the light intensity distribution model after deformation compensation is calculated.

[0118] In this embodiment, the light spot coverage area boundary parameter refers to the geometric boundary (such as the major axis, minor axis, and rotation angle of an ellipse) of the lamp projection light spot, which is extracted by an image segmentation algorithm; a three-dimensional matrix used to identify the light intensity distribution of the stage space is set as the light intensity distribution matrix, such as 1024×512×3, corresponding to the XYZ coordinate system and RGB chroma.

[0119] Specifically, the light intensity data of the stage space is collected by a distributed light sensor network (500 nodes, interval 1m); the light intensity data is mapped to a three-dimensional coordinate system to generate a light intensity distribution matrix I(x, y, z) by synchronously recording the projection angle of the lamp (pitch angle θ=25°, horizontal angle φ=45°). Calculate the light effect deformation prediction parameter M comp = k atten ×L coeff ×σ(age), wherein k atten is the light flux attenuation compensation coefficient; L coeff is the light intensity distribution coefficient in the dynamic adaptation parameter; and σ(age) is the lamp aging standard deviation adjustment factor.

[0120] After calculating the light effect deformation prediction parameter M comp , the M comp is superimposed with the dynamic adaptation parameter by convolution operation to generate a compensated light intensity distribution model; the compensated light intensity distribution model is processed by an edge enhancement algorithm to improve the light spot contour clarity.

[0121] The calculation of the light flux balance value includes:

[0122] Collect optical sensor data of each lamp, and establish a light intensity distribution matrix; calculate a luminous flux decay compensation coefficient according to the light intensity distribution matrix; perform convolution operation on the luminous flux decay compensation coefficient and the dynamic adaptation parameter to generate a final light intensity distribution model; and perform sharpness optimization on the final light intensity distribution model through an edge enhancement algorithm to realize adaptive adjustment of light effect in multiple scenes.

[0123] In the embodiment, the luminous flux decay compensation coefficient is a scalar value (for example, 0.8 represents a 20% light intensity decay) for correcting light intensity decay of the lamp caused by aging and temperature rise; and the edge enhancement algorithm refers to an image processing algorithm for improving the profile definition of a light spot through a Sobel operator, a Laplace operator, etc.

[0124] Specifically, the luminous flux decay compensation coefficient k atten is calculated according to the following formula: wherein σ(age) is a lamp aging standard deviation adjustment factor.

[0125] It should be understood that the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of the processes should be determined according to their functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0126] In an embodiment, a multi-scene adaptive stage lighting control system is provided, which corresponds to the multi-scene adaptive stage lighting control method described above.

[0127] A multi-scene adaptive stage lighting control system includes a scene parameter acquisition module, a dynamic monitoring module, a parameter fusion processing module, and a light effect adjustment module. The detailed description of each functional module is as follows:

[0128] The scene parameter acquisition module is configured to acquire type parameters and initial environment data of a target stage scene, and generate initial control parameters of a stage lighting system.

[0129] The dynamic monitoring module is configured to collect performance dynamic data in real time during the process of scene light compensation of the stage lighting system according to the initial control parameters, and calculate an adaptation deviation value of the current light effect and the scene type parameters.

[0130] The parameter fusion processing module is configured to perform multi-dimensional parameter fusion processing on the adaptation deviation value to generate dynamic light adaptation parameters; and the light effect adjustment module is configured to calculate a light effect deformation variable in the current scene according to the dynamic light adaptation parameters, and synchronously adjust the projection angle, color temperature parameter, and light intensity distribution model of the stage lighting device according to the light effect deformation variable.

[0131] Optionally, the dynamic monitoring module includes:

[0132] Performance data acquisition unit, used to acquire real-time motion trajectory data of stage machinery and actor motion capture data;

[0133] Light field detection unit, used to acquire current light field distribution data through a distributed light sensor network, the light field distribution data including light intensity gradient, color temperature distribution and light spot coverage range;

[0134] Space-time deviation modeling unit, used to construct a space-time deviation model based on the stage machinery motion data and the light field distribution data, and calculate the adaptation deviation value of the current light effect and the type parameter in the light intensity adaptation deviation, the color temperature adaptation deviation and the light spot coverage deviation dimensions.

[0135] The specific limitations of the stage lighting control system of the multi-scene adaptation can refer to the limitations of the stage lighting control method of the multi-scene adaptation in the above, and will not be repeated here; each module in the stage lighting control system of the multi-scene adaptation can be realized by software, hardware and their combinations in whole or in part; the above each module can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to call and execute the operations corresponding to each module by the processor.

[0136] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the following steps:

[0137] S1: acquiring type parameters and initial environment data of a target stage scene to obtain initial control parameters of a stage lighting system;

[0138] S2: in the process of scene light compensation of the stage lighting system according to the initial control parameters, real-time acquisition of performance dynamic data and calculation of the adaptation deviation value of the current light effect and the scene type parameters;

[0139] S3: multi-dimensional parameter fusion processing of the adaptation deviation value to obtain dynamic light adaptation parameters;

[0140] S4: calculating the light effect deformation variable under the current scene according to the dynamic light adaptation parameters, and synchronously adjusting the projection angle, color temperature parameter and light intensity distribution model of the stage lighting device according to the light effect deformation variable.

[0141] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0142] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of functional units and modules is exemplified. In actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the above-described functions.

[0143] The above-described embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A multi-scenario adaptive stage lighting control method, characterized in that, The method comprises the following steps: acquire the type parameters and initial environment data of the target stage scene, and obtain the initial control parameters of the stage lighting system; in the process of scene light compensation of the stage lighting system according to the initial control parameters, real-time collection of performance dynamic data and calculation of the adaptive deviation value of the current light effect and the scene type parameters; multi-dimensional parameter fusion processing is performed on the adaptive deviation value to obtain dynamic light adaptation parameters; according to the dynamic light adaptation parameters, the light effect deformation variable under the current scene is calculated, and the projection angle, color temperature parameter and light intensity distribution model of the stage lighting device are adjusted synchronously according to the light effect deformation variable; the method comprises the following steps: According to the dynamic light adaptation parameter, a light effect deformation process is simulated by a ray tracing algorithm to predict a light spot deformation radius and a color temperature drift amount, wherein a calculation formula of the light spot deformation radius is R deform = R initial ×(1+k×ΔL), and a calculation formula of the color temperature drift amount is ΔT drift =T target ×e^(-ΔT / 100), wherein R deform is an equivalent radius after light spot deformation; R initial is an initial light spot radius; k is a light intensity adjustment sensitivity coefficient; ΔT drift is an actual drift amount after color temperature adjustment; T target is a target color temperature; and e is a natural logarithm base number, e≈2.

718. according to the light spot deformation radius and the color temperature drift, the multi-axis linkage adjustment of the projection angle, color temperature parameter and light intensity distribution of the stage lamp is performed.

2. The multi-scene adaptive stage light control method of claim 1, wherein, the method comprises the following steps: acquire the real-time motion trajectory data of the stage machinery and the actor motion capture data; collect the current light field distribution data through a distributed optical sensor network, and the light field distribution data includes light intensity gradient, color temperature distribution and light spot coverage range; based on the stage machinery motion data and the light field distribution data, a space-time deviation model is constructed, and the adaptive deviation value of the current light effect and the scene type parameters in the light intensity adaptive deviation, color temperature adaptive deviation and light spot coverage deviation dimensions is calculated, wherein the light intensity adaptive deviation is the root mean square error of the actual light intensity distribution and the preset light intensity model, the color temperature adaptive deviation is the deviation degree of the current color temperature value and the color temperature target value required by the performance emotion characteristics, and the light spot coverage deviation is the overlap rate of the dynamic light spot position and the actor motion trajectory.

3. The multi-scene adaptive stage light control method of claim 2, wherein, the method comprises the following steps: input the light intensity adaptive deviation, color temperature adaptive deviation and light spot coverage deviation into a dynamic weight distribution model to generate the priority weight of each dimension; combined with historical scene data and real-time environment parameters, the dynamic compensation parameters are calculated: Light intensity adjustment compensation value AL = a x RMSE + b x (T ambient / T standard ); color temperature adjustment compensation value ΔT = γ × color temperature deviation + δ × (R(t)-S(t)); wherein a and b are scene adaptation weight coefficients; g is an emotion driving coefficient, 0.6≤g≤1.0; d is a history compensation coefficient, 0.1≤d≤0.3; RMSE is the root mean square error of the light intensity distribution; T ambient is the current ambient temperature; T standard is the nominal operating temperature of the luminaire; R(t) is the real-time performance emotion characteristic value, with a value of 0-1; S(t) is the historical scene color temperature reference value; the dynamic compensation parameters and the initial control parameters are superimposed to generate a dynamic light adaptation parameter group containing projection angle offset, color temperature correction value and light intensity distribution coefficient.

4. The multi-scene adaptive stage light control method of claim 1, wherein, the method further comprises the following steps: real-time monitoring of lamp heat dissipation parameters and power parameters to construct a lamp efficiency attenuation model: Light intensity attenuation coefficient k attenuation = 1 - (T current - T standard ) / T Max Color temperature offset compensation ΔT compensation = k attenuation × ΔT drift ; wherein T current is the real-time thermal imaging temperature of the luminaire; T Max is the maximum allowed temperature of the luminaire; according to the lamp efficiency attenuation model, the light effect deformation prediction parameters are dynamically corrected, and a light protection mechanism is triggered, wherein the light protection mechanism comprises: When k attenuation When < 0.8, automatically run at reduced capacity; When ΔT drift > 200 K, initiate the standby color temperature calibration protocol.

5. The multi-scene adaptive stage light control method of claim 1, wherein, the method further comprises the following steps: according to the projection angle offset of the stage lighting device, the light spot coverage area boundary parameters of each lamp are acquired, and the light flux balance value of the light intensity distribution model after deformation compensation is calculated. The calculation of the light flux equalization value comprises: Collecting optical sensor data of each lamp to establish a light intensity distribution matrix; Calculating a light flux decay compensation coefficient according to the light intensity distribution matrix; Convolving the light flux decay compensation coefficient with dynamic light adaptation parameters to generate a final light intensity distribution model; The final light intensity distribution model is optimized in sharpness by an edge enhancement algorithm to achieve adaptive adjustment of light effects in multiple scenarios.

6. The multi-scene adaptive stage light control method of claim 2, wherein, The light intensity distribution model adjustment comprises: Establishing a partition control matrix according to the performance area segmentation result; Dynamic light intensity focusing algorithm Q = ∫(I x e^(-k attenuation x r))dr is implemented on the main performance area. Using a diffuse reflection compensation algorithm R = R0 × (1-e^(-λd)) for the auxiliary performance area where Q is the total effective light intensity; I is the initial light intensity of the light source at a distance r; k attenuation is the light intensity attenuation coefficient; r is the radial distance from the light source to a point on the light propagation path; R is the light intensity after diffuse reflection compensation; R0 is the basic diffuse reflection light intensity; λ is the diffuse reflection diffusion coefficient; and d is the horizontal distance from the auxiliary performance area to the main light source.

7. A multi-scenario adapted stage light control system, characterized in that, The system comprises: A scene parameter acquisition module for acquiring type parameters and initial environment data of a target stage scene and generating initial control parameters of a stage lighting system; A dynamic monitoring module for collecting performance dynamic data in real time and calculating an adaptation deviation value of the current light effect and the scene type parameters during the process of scene light compensation of the stage lighting system according to the initial control parameters; A parameter fusion processing module for multi-dimensional parameter fusion processing of the adaptation deviation value to generate dynamic light adaptation parameters; and a light effect adjustment module for calculating a light effect deformation variable in the current scene according to the dynamic light adaptation parameters and synchronously adjusting the projection angle, color temperature parameter and light intensity distribution model of the stage lighting device according to the light effect deformation variable. The calculation of the light flux equalization value comprises: According to the dynamic light adaptation parameter, a light spot deformation radius and a color temperature drift amount are predicted by simulating a light effect deformation process through a ray tracing algorithm, wherein a calculation formula of the light spot deformation radius is R deform = R initial ×(1+k×ΔL), and a calculation formula of the color temperature drift amount is ΔT drift =T target ×e^(-ΔT / 100), wherein R deform is an equivalent radius after light spot deformation; R initial is an initial light spot radius; k is a light intensity adjustment sensitivity coefficient; ΔT drift is an actual drift amount after color temperature adjustment; T target is a target color temperature; and e is a natural logarithm base number, e≈2.

718. According to the spot deformation radius and the color temperature drift, the projection angle, the color temperature parameter and the light intensity distribution of the stage lamp are adjusted in multi-axis linkage.

8. A multi-scene adapted stage light control system according to claim 7, characterized in that, The dynamic monitoring module comprises: A performance data acquisition unit for acquiring real-time motion trajectory data of stage machinery and actor motion capture data; A light field detection unit for collecting current light field distribution data through a distributed optical sensor network, the light field distribution data comprising light intensity gradient, color temperature distribution and spot coverage range; A space-time deviation modeling unit for constructing a space-time deviation model based on the stage machinery motion data and the light field distribution data and calculating adaptation deviation values of the current light effect and the scene type parameters in the light intensity adaptation deviation, color temperature adaptation deviation and spot coverage deviation dimensions.

9. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 8. The computer program, when executed by a processor, implements the steps of the multi-scene adaptive stage lighting control method of any one of claims 1 to 6.

Images