Light control system for small OB van
By using control devices and infrared sensors in the lighting control system of a small broadcast vehicle, analyzing infrared signal anomalies and distortion, screening target moments and making positioning corrections, the problem of inaccurate positioning of performers was solved and more accurate lighting control was achieved.
Patent Information
- Application Number
- CN202511142560.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-15
- Publication Date
- 2025-10-14
- Estimated Expiration
- 2045-08-15
AI Technical Summary
In the lighting control system of a small broadcast vehicle, the positioning of performers is inaccurate, especially when there are multiple special effect lights on the stage. This causes the positioning points of the infrared positioning technology to be lost or multiple assumed locations to appear, affecting the accuracy of lighting control.
A control device and at least two infrared sensors are used to analyze the abnormality and distortion of the infrared signal to screen out the target time, and the initial positioning signal is corrected according to the infrared positioning correction weight to improve positioning accuracy.
The positioning accuracy of performers is improved, thereby improving the accuracy of lighting control and ensuring the lighting following effect.
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Figure CN120640479B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of light source control, and in particular to a lighting control system for a small broadcast vehicle. Background Art
[0002] Lighting control systems for small OB vehicles are an integral part of modern broadcast and media broadcasting technology. With the increasing demand for live broadcasts and the continuous advancement of technology, small OB vehicles must not only deliver high-definition image quality and stable signal transmission, but also provide flexible and adjustable lighting support to cope with a variety of complex shooting environments and on-site conditions. Modern small OB vehicles are increasingly incorporating intelligent lighting control systems. Through digitalization and automation, they enable centralized control and remote operation, automatically adjusting lighting brightness, color temperature, and illumination angle to suit specific scenarios and needs. Furthermore, combined with sensor technology and real-time monitoring systems, lighting control systems intelligently adjust to ensure optimal filming results under varying lighting conditions.
[0003] In existing technology, infrared positioning technology is used to locate performers. Infrared positioning technology utilizes infrared radiation for positioning. Infrared radiation refers to electromagnetic radiation with a wavelength between 0.7 mm and 1000 μm. It has strong penetrating power and a high thermal effect. The principles of infrared positioning technology primarily involve three components: an infrared radiation source (i.e., an infrared emitter), an infrared sensor, and signal processing. The infrared radiation source is the core component of infrared positioning technology, emitting infrared radiation, typically an infrared light-emitting diode (LED). The infrared sensor receives infrared radiation and converts it into an electrical signal for output. The signal processing component processes and analyzes the received signal, typically including signal amplification, filtering, and analog-to-digital conversion.
[0004] Performers wear miniature infrared transmitters (wavelength 850nm ± 10nm) that pulse infrared light at a specific frequency (typically 38kHz). Multiple infrared camera arrays positioned above the stage then receive the signals in real time and calculate the performer's three-dimensional coordinates using a triangulation algorithm. Finally, the control system transmits this coordinate data to the intelligent follow-spot light via the DMX512 protocol, driving servo motors to adjust the horizontal and vertical angles of the light fixture while also automatically adjusting the spot size and intensity. In this stage lighting control system, infrared positioning technology, through the combination of active markers and optical tracking, enables centimeter-level precision positioning of performers and dynamic follow-spot control, enabling lighting tracking control.
[0005] However, when locating the performers' positions, because the stage is usually equipped with a variety of special effects lights, the light wavelengths of different special effects lights are different. Other lights of different wavelengths will drown out the infrared signal of the infrared transmitter, resulting in the loss of positioning points or the existence of multiple assumed locations, affecting the accuracy of the performers' positioning and thus affecting the accuracy of lighting control. Summary of the Invention
[0006] In order to solve the technical problem of inaccurate positioning of performers in existing lighting control systems for small broadcast vehicles, the present invention aims to provide a lighting control system for a small broadcast vehicle. The technical solution adopted is as follows:
[0007] The present invention provides a lighting control system for a small broadcast vehicle, comprising: a control device and at least two infrared sensors, each infrared sensor being connected to the control device;
[0008] Each infrared sensor is used to obtain the infrared signal of the infrared transmitter and transmit it to the control device;
[0009] The control device is used to filter and obtain the target time according to the abnormality degree of the infrared signal at each time;
[0010] The signal distortion degree at the target moment is obtained based on the difference between the infrared spectrum energy in the time window at the target moment and the preset normal spectrum energy;
[0011] According to the difference in signal distortion between the target moment and other target moments, as well as the difference in infrared signal fluctuations in the time window, the infrared positioning correction weight of each infrared sensor at the target moment is obtained;
[0012] The initial positioning signal determined by each infrared sensor is corrected according to the infrared positioning correction weight.
[0013] In an exemplary embodiment, the process of obtaining the abnormality degree includes:
[0014] The first difference and the second difference at a certain moment are integrated to obtain the abnormality degree at that moment; the first difference is the difference between the infrared intensity at that moment and the overall infrared intensity, and the second difference is the difference between the infrared intensity at that moment and the infrared intensity at its adjacent moments.
[0015] In an exemplary embodiment, the target time screening process includes:
[0016] The abnormality degree of the infrared signal at each moment is clustered to obtain a target cluster with the highest abnormality degree, and each moment in the target cluster is the target moment.
[0017] In an exemplary embodiment, the process of obtaining the preset normal spectrum energy includes:
[0018] Determine the time intervals outside the time window of all target moments;
[0019] The infrared spectrum energy in each time interval is determined as the preset normal spectrum energy.
[0020] In an exemplary embodiment, the process of obtaining the degree of signal distortion includes:
[0021] The difference between the infrared spectrum energy of the time window at the target moment and the infrared spectrum energy of each time interval is fused to obtain the signal distortion degree at the target moment.
[0022] In an exemplary embodiment, the process of obtaining the infrared positioning correction weight includes:
[0023] The signal impact index of the target time is obtained based on the difference in signal distortion between the target time and other target times, as well as the difference in infrared signal fluctuations in the time window.
[0024] According to the signal influence index of each infrared sensor at the target time, the infrared positioning correction weight of each infrared sensor at the target time is obtained; the infrared positioning correction weight is inversely correlated with the signal influence index.
[0025] In an exemplary embodiment, the difference in infrared signal fluctuations is specifically: the difference between the variance of the infrared intensity of the infrared signal in the time window at the target moment and the variance of the infrared intensity of the infrared signal in the time windows at other target moments.
[0026] In an exemplary embodiment, the process of obtaining the signal impact indicator includes:
[0027] The signal impact sub-indicator of the target moment and the reference target moment is obtained by fusing the difference in the degree of signal distortion between the target moment and the reference target moment, and the difference in the variance of the infrared intensity of the infrared signal in the time window where the target moment is located and the variance of the infrared intensity of the infrared signal in the time window where the reference target moment is located; the reference target moment is any one of the other target moments;
[0028] The signal impact sub-indicators of the target moment and all reference target moments are fused to obtain the signal impact index of the target moment.
[0029] In an exemplary embodiment, the correcting the initial positioning signal determined by each infrared sensor according to the infrared positioning correction weight includes:
[0030] According to the infrared positioning correction weight of each infrared sensor at the target time, the initial positioning signals of the target time determined by each infrared sensor are weighted and summed to obtain the final positioning signal at the target time.
[0031] In an exemplary embodiment, the control device is further configured to: predict a final positioning signal at the next moment by using a Kalman filter algorithm.
[0032] The present invention has the following beneficial effects: a target moment is obtained by screening according to the abnormality degree of the infrared signal at each moment, the target moment is the moment that needs to be focused on for position positioning correction, and the difference in the signal distortion degree at the target moment and the signal distortion degree of other target moments, as well as the difference in the infrared signal fluctuation in the time window, is combined to obtain the infrared positioning correction weight of each infrared sensor at the target moment, the smaller the difference in the signal distortion degree and the difference in the infrared signal fluctuation in the time window, the more normal the signal at the corresponding target moment, and the greater the contribution to the correction when the positioning signal is corrected, that is, the greater the infrared positioning correction weight, and finally the initial positioning signal determined by each infrared sensor is corrected according to the infrared positioning correction weight to ensure that the corrected positioning signal is not affected by other lights, thereby improving the positioning accuracy of the infrared transmitter, that is, improving the positioning accuracy of the performers, and thus improving the accuracy of lighting control. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] Figure 1 This is a schematic diagram of the module composition of a lighting control system for a small broadcast vehicle provided by one embodiment of the present invention;
[0034] Figure 2 This is a flow chart of a method executed by a control device in a lighting control system for a small broadcast vehicle provided by one embodiment of the present invention;
[0035] Figure 3 This is a flow chart of obtaining preset normal spectrum energy provided by one embodiment of the present invention;
[0036] Figure 4 This is a flowchart for obtaining infrared positioning correction weights provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0037] To further illustrate the technical means and effects employed by the present invention to achieve its intended objectives, the following detailed description of the specific embodiments, structures, features, and effects of the present invention is provided in conjunction with the accompanying drawings and preferred embodiments. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
[0038] Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the art to which this invention pertains. The data and information collected in this application were obtained with full consent and authorization.
[0039] This embodiment provides a lighting control system for a small OB vehicle. Its primary purpose is to control stage lighting. The small OB vehicle serves as the control center, managing multiple lighting channels, supporting scene presets (such as speeches, performances, and interactive segments) and real-time brightness adjustment. When performing lighting control, accurate information about the performer's position on the stage is required to achieve lighting tracking control. Therefore, this embodiment analyzes the changes in infrared intensity of the infrared signals obtained by each infrared sensor to determine the reaction points of different infrared signals. Then, by analyzing the differences between the different infrared signals at different reaction points, the performer's position is corrected, thereby obtaining the performer's accurate position and achieving coordinated tracking using different infrared signals.
[0040] In one exemplary embodiment, during initial deployment, broadcast cameras can be installed in an equilateral triangle layout (spacing ≥5m) to cover the entire stage. Infrared emitter IDs are associated with performers (e.g., the lead actor's ID takes precedence over extras). During the performance, both single-person tracking and group switching are possible. Single-person tracking involves the system locking onto a single infrared emitter, with the spot diameter automatically adapting to the performer's movement speed (the spot size expands by 20% during fast motion). Group switching involves switching between multiple targets using infrared emitter ID recognition, such as automatically handing off the spotlight to the next performer when the lead dancer turns. This example uses single-person tracking as an example. Furthermore, the small broadcast vehicle is equipped with a safety mechanism. If the lighting operates continuously for more than two hours, the brightness is automatically reduced by 30% to protect the silicon box from overheating. In the event of positioning failure, manual control is switched to ensure lighting in critical sections.
[0041] This embodiment provides a lighting control system for a small broadcast vehicle, including a control device and at least two infrared sensors, such as Figure 1 As shown. Among them, each infrared sensor is arranged at different positions on the stage, such as fixed at multiple different positions on the top of the stage, to form an infrared sensor array. The number of each infrared sensor is determined by the actual positioning needs. Each infrared sensor is connected to the control device, which can be connected by wire or wirelessly through a wireless communication module. The sampling frequency of each infrared sensor is set according to actual needs. The control device is the control core of the lighting control system, which is used to determine the position of the infrared emitter, that is, the position of the performer, based on the infrared signal transmitted by each infrared sensor, so that in the subsequent process, the lighting control is performed based on the determined position of the performer.
[0042] Performers wear infrared transmitters, which can be miniature infrared transmitters, typically integrated into wristbands or headgear. They transmit coded pulse infrared signals at an 850nm wavelength and a 38kHz modulation frequency. Each infrared sensor receives the infrared signal from the transmitter and transmits it to the control device.
[0043] The control device receives the infrared signals obtained by each infrared sensor and performs the following operations: Figure 2 The data processing steps are as follows:
[0044] Step S1: Filter and obtain the target time according to the abnormality degree of the infrared signal at each time;
[0045] Step S2: Obtaining the signal distortion degree at the target moment based on the difference between the infrared spectrum energy in the time window at the target moment and the preset normal spectrum energy;
[0046] Step S3: Obtaining the infrared positioning correction weight of each infrared sensor at the target time based on the difference in signal distortion between the target time and other target times, and the difference in infrared signal fluctuations in the time window;
[0047] Step S4: correcting the initial positioning signal determined by each infrared sensor according to the infrared positioning correction weight.
[0048] The above steps are described in detail below with reference to the accompanying drawings.
[0049] Step S1: Filter and obtain the target time according to the abnormality degree of the infrared signal at each time.
[0050] Each infrared sensor acquires the infrared signal emitted by the infrared emitter at a sampling frequency, and the control device obtains the infrared signal corresponding to each infrared sensor. This embodiment predetermines a time period, referred to as a monitoring period, for acquiring the infrared signal corresponding to each infrared sensor within that monitoring period (essentially, a time series of infrared signals). The time series of infrared signals includes the infrared signal at each moment within the monitoring period. It should be understood that the time series of infrared signals is mapped into a two-dimensional coordinate system, with the abscissa representing time and the ordinate representing the signal strength of the infrared signal at each moment, defined as infrared intensity.
[0051] For ease of explanation, an arbitrary infrared sensor is taken as an example below, and the target time corresponding to the infrared sensor is obtained by screening according to the abnormality degree of the infrared signal of the infrared sensor at each time.
[0052] For any one time, the abnormality degree of the infrared signal of the time represents the infrared signal of the time and the infrared signal as a whole, and the difference with the infrared signal of the adjacent time, the greater the difference, the higher the abnormality degree of the infrared signal of the time, and the more likely to be affected by other lights. In an exemplary embodiment, the average value of the infrared intensity of the infrared signal of all times of the infrared sensor is calculated as the overall infrared intensity, the first difference of the time is obtained, which is the difference (specifically the absolute value of the difference) between the infrared intensity of the time and the overall infrared intensity; the second difference of the time is obtained, which is the difference (specifically the absolute value of the difference) between the infrared intensity of the time and the infrared intensity of the adjacent time. Then fuse the first difference and the second difference of the time to get the abnormality degree of the time. In an exemplary embodiment, a specific quantification method of abnormality degree is given as follows:
[0053] ;
[0054] wherein, represents the abnormality degree of the infrared signal of the th time, represents the infrared intensity of the infrared signal of the th time, represents the overall infrared intensity, represents the infrared intensity of the infrared signal of the th time, represents the infrared intensity of the infrared signal of the th time.
[0055] represents the average value of the difference between the infrared intensity of the infrared signal of the th time and the infrared intensity of the left and right adjacent infrared signals, which is used to represent the difference between the infrared intensity of the th time and the infrared intensity of the adjacent time, which represents the abruptness of the infrared signal of the th time, the larger the value, the more abnormal the infrared signal of the th time. It should be understood that for the edge time, if it has no previous time or next time, only the difference between the infrared intensity of the infrared signal of the time and the infrared intensity of the adjacent time on one side is obtained, and the average value is no longer calculated.
[0056] represents the difference between the infrared signal of the th time and the entire infrared signal time sequence, the greater the difference, the more prominent the infrared signal of the th time, and therefore more likely to be abnormal.
[0057] by and The average value is used to achieve the fusion of the two and obtain the The abnormality of the infrared signal at a certain moment In addition, in order to make it easier to handle, you can also Normalization is performed. In an exemplary embodiment, the normalization method in this embodiment can use a hyperbolic tangent function. The abnormality degree used below is the result after normalization.
[0058] Using the above method, the degree of abnormality of the infrared signal at each moment is obtained. Then, based on the degree of abnormality of the infrared signal at each moment, the target moment is filtered from each moment. The filtering rule is to select the moment with the largest degree of abnormality as the target moment. In an exemplary embodiment, the degree of abnormality of the infrared signal at each moment is clustered, and hierarchical clustering can be used to obtain several clusters with different levels of abnormality. The cluster with the highest degree of abnormality is determined from the several clusters and used as the target cluster. Then, each moment in the target cluster is the target moment. As another embodiment, several intervals of varying degrees are set to determine the degree of abnormality within each interval. The interval with the highest degree of abnormality is determined from each interval and used as the target cluster. Then, each moment in the target cluster is the target moment. Alternatively, the degree of abnormality of the infrared signal at each moment is directly compared with a preset threshold, and the moment corresponding to the degree of abnormality greater than the preset threshold is used as the target moment. It should be noted that the target moment in the target cluster is not the moment when the abnormality actually occurs, but rather the moment when the infrared signal response occurs.
[0059] By obtaining the target time corresponding to any infrared sensor, we can also obtain the target time corresponding to each infrared sensor. It should be understood that the target times corresponding to different infrared sensors may not be exactly the same. Therefore, to improve the accuracy and reliability of the final positioning, the target times corresponding to each infrared sensor are unioned. The target time contained in this union is used as the target time corresponding to each infrared sensor, achieving the target time uniformity for all infrared sensors.
[0060] Step S2: Obtain the signal distortion degree at the target moment according to the difference between the infrared spectrum energy in the time window at the target moment and the preset normal spectrum energy.
[0061] When multiple lights are present, the mutual interference of light frequencies can cause frequency distortion in the infrared signal, thus affecting the lighting control effect. When frequency distortion occurs, the infrared signal will have prominent points and the fluctuation pattern of the infrared signal will change. Since stage lighting is constantly changing, the influence of different light frequencies at different times will also vary. Therefore, the changing patterns of the infrared signal at different times will be different. Therefore, it is necessary to compare the frequency changes of the infrared signal at different times.
[0062] Taking any infrared sensor as an example, the target moments corresponding to the infrared sensor are divided into time windows. For any target moment, the time window in which the target moment is located is determined. In an exemplary embodiment, the target moment is taken as the center and the number of preset moments is used as the time window length. For example, the time window length is 9, that is, the 4 moments before the target moment, the 4 moments after the target moment, and the target moment constitute the time window in which the target moment is located, that is, the time window corresponding to the target moment. It should be understood that if the target moment is close to the edge moment, it may not be possible to obtain a complete time window, then the maximum incomplete time window range that can be obtained will be used as the time window in which it is located. For example: if the target moment is the third to last moment, the 4 moments before it, the 2 moments after it, and the target moment itself constitute the time window in which it is located.
[0063] The infrared signal within the time window of the target moment is converted to the frequency domain through Fourier transform, obtaining the spectrum image of the time window and the infrared spectrum energy of the time window. The purpose of using Fourier transform to obtain the spectrum is to compare the differences in different frequency domain features to determine the degree of signal distortion.
[0064] The signal distortion level at the target moment is determined based on the difference between the infrared spectrum energy in the time window at the target moment and the preset normal spectrum energy. The greater the difference between the infrared spectrum energy in the time window at the target moment and the preset normal spectrum energy, the higher the signal distortion level at the target moment.
[0065] The preset normal spectrum energy represents the spectrum energy of the infrared signal in the scene under normal circumstances. The preset normal spectrum energy can be a set known value. In an exemplary embodiment, Figure 3 As shown, a specific method for obtaining the preset normal spectrum energy is given as follows:
[0066] Step S21: Determine all time intervals outside the time window where all target moments are located.
[0067] For a monitoring period, by determining the time windows in which all target moments are located, the monitoring period can be divided into two types of time: one is the time window in which each target moment is located, and the other is the time outside the time windows in which all target moments are located. Moreover, since the time windows in which each target moment is located are not necessarily continuous in time sequence, the time outside the time windows in which all target moments are located can be divided into several time intervals based on the time windows in which each target moment is located, thereby obtaining the time intervals outside the time windows in which all target moments are located.
[0068] Step S22: determining the infrared spectrum energy in each time interval as the preset normal spectrum energy.
[0069] The infrared spectrum energy of each time interval is obtained through Fourier transform, and the infrared spectrum energy of each time interval is used as the preset normal spectrum energy.
[0070] For any target moment, the difference between the infrared spectrum energy of the time window of the target moment and the infrared spectrum energy of each time interval is obtained respectively, and then these differences are fused to obtain the degree of signal distortion at the target moment. The degree of signal distortion at the target moment is determined by comparing the infrared spectrum energy of the time window of the target moment with the infrared spectrum energy of the non-time window. The greater the difference, the greater the fluctuation degree of the infrared signal in the time window of the target moment. Therefore, the greater the difference in the corresponding spectrum energy, the greater the degree of signal distortion. In an exemplary embodiment, a specific method for quantifying the degree of signal distortion is given as follows:
[0071] ;
[0072] in, Indicates the The signal distortion degree of the time window at the target moment is taken as the The signal distortion degree at the target moment, then The degree of signal distortion in the time window of the target moment is the same as that of the The degree of signal distortion at each target moment represents the same meaning; Indicates the The spectrum energy of the time window at the target moment, Indicates the The spectral energy of each time interval, n represents the number of time intervals.
[0073] By adopting the above method, the degree of signal distortion at each target moment is obtained.
[0074] Step S3: Obtain the infrared positioning correction weight of each infrared sensor at the target time based on the difference in signal distortion between the target time and other target times, and the difference in infrared signal fluctuations in the time window.
[0075] The difference in signal distortion between a target moment and other target moments, as well as the difference in infrared signal fluctuations in the time window, affects the infrared positioning correction weight of each infrared sensor at the target moment. Therefore, the infrared positioning correction weight of each infrared sensor at the target moment is obtained based on the difference in signal distortion between the target moment and other target moments, as well as the difference in infrared signal fluctuations in the time window. In an exemplary embodiment, Figure 4 As shown, a specific process of obtaining the infrared positioning correction weight is given as follows:
[0076] Step S31: obtaining the signal influence index of the target time according to the difference between the signal distortion degree of the target time and the signal distortion degrees of other target times, and the difference between the infrared signal fluctuation of the time window where the target time is located and the infrared signal fluctuation of the time window where the other target times are located.
[0077] Although the intensity and the number of lights at different times are different, as long as there is mixed light, there will be mutual influence, only the signal distortion degree is different, and the infrared signal fluctuation of the time window where the target time is located is different, so the signal influence index of the target time can be obtained according to the two differences.
[0078] For the convenience of description, the reference target time is set as any one of the other target times. The difference between the signal distortion degree of the target time and the signal distortion degree of the reference target time is obtained, which is the absolute value of the difference between the signal distortion degrees of the target time and the reference target time.
[0079] The difference between the infrared signal fluctuation of the time window where the target time is located and the infrared signal fluctuation of the time window where the reference target time is located is obtained. The infrared signal fluctuation of the time window is used to represent the fluctuation of the infrared signal of the time window. In this embodiment, the variance is used to represent the fluctuation, so the infrared signal fluctuation of the time window where the target time is located is the variance of the infrared intensity of the infrared signal of the time window where the target time is located, and the infrared signal fluctuation of the time window where the reference target time is located is the variance of the infrared intensity of the infrared signal of the time window where the reference target time is located. Then, the difference between the infrared signal fluctuation of the time window where the target time is located and the infrared signal fluctuation of the time window where the reference target time is located is the difference between the variance of the infrared intensity of the infrared signal of the time window where the target time is located and the variance of the infrared intensity of the infrared signal of the time window where the reference target time is located, which is the absolute value of the difference between the variances.
[0080] Then, the signal influence sub-index of the target time and the reference target time is obtained by fusing the difference between the signal distortion degree of the target time and the signal distortion degree of the reference target time, and the difference between the variance of the infrared intensity of the infrared signal of the time window where the target time is located and the variance of the infrared intensity of the infrared signal of the time window where the reference target time is located. Finally, the signal influence index of the target time is obtained by fusing the signal influence sub-index of the target time and all reference target times. In an exemplary embodiment, the quantification method of the signal influence index is as follows:
[0081] ;
[0082] Wherein, represents the signal influence index of the i-th target time, represents the signal distortion degree of the i-th target time, represents the variance of the infrared intensity of the infrared signal of the time window where the i-th target time is located, represents the variance of the infrared intensity of the infrared signal of the time window where the i-th target time is located, represents the variance of the infrared intensity of the infrared signal of the time window where the i-th target time is located, The variance of the infrared intensity of the infrared signal in the time window of each target moment, Indicates the The variance of the infrared intensity of the infrared signal in the time window of the target moment, m represents the ... The number of target moments other than the target moment, i.e. The number of reference target moments corresponding to each target moment.
[0083] Indicates the The target moment and The difference in the degree of signal distortion at each target moment is greater. The greater the degree to which a target is affected by different lights at any moment, and the frequency of the emitted light is also different, the greater the signal impact index. Indicates the The target moment and The difference in the variance of the infrared intensity of the infrared signal in the time window of each target moment is greater. The greater the difference, the less similar the degree of influence of the signal is, and the greater the signal impact index. Express Normalization of Express Normalization of .
[0084] By adopting the above method, the signal impact index of any infrared sensor at each target moment is obtained.
[0085] Step S32: Obtaining the infrared positioning correction weight of each infrared sensor at the target time according to the signal influence index of each infrared sensor at the target time.
[0086] When correcting the positioning signal, the infrared positioning correction weights of different infrared sensors at the same target time are used to correct the positioning signal at that target time. This is because the ambient light conditions of the stage are the same at the same target time, but the infrared signals collected by different infrared sensors are different.
[0087] First The target moment is taken as the analysis object, and for the The infrared sensor The signal impact index at the target moment is set as . No. The infrared sensor The greater the signal impact index of a target moment, the smaller its infrared positioning correction weight is, and the smaller its contribution is when correcting the positioning signal. The infrared sensor The signal impact index of the target moment is obtained The infrared sensor The weight factor of each target moment is inversely correlated with the signal impact index. A specific quantification method is given below:
[0088] ;
[0089] in, Indicates the The infrared sensor The weight factor of the target moment, Indicates the The infrared sensor The signal impact index of each target moment, N represents the number of infrared sensors.
[0090] Then, according to the The weight factor of each target moment is obtained The infrared positioning correction weight of each target at a time is calculated as follows:
[0091] ;
[0092] Indicates the The infrared sensor The infrared positioning correction weight of the target moment. Through this calculation formula, the first The sum of the infrared positioning correction weights of each target at each moment is 1, which is convenient for subsequent processing.
[0093] Step S4: correcting the initial positioning signal determined by each infrared sensor according to the infrared positioning correction weight.
[0094] Through calculations, each infrared sensor calculates the initial positioning signal of the infrared emitter at each moment, i.e., the initial 3D coordinates of the infrared emitter (i.e., the initial 3D coordinates of the performer), thereby obtaining the initial 3D coordinates of the infrared emitter at each moment for each infrared sensor. The initial 3D coordinates of the infrared emitter are obtained by the position between the infrared emitter and the infrared sensor.
[0095] Then, according to the first The infrared positioning correction weight of each target moment is used to correct the infrared emitter obtained by each infrared sensor at the first In an exemplary embodiment, the three-dimensional coordinates of each target at the time of each infrared sensor are corrected. The infrared positioning correction weight of each target moment is used to correct the infrared positioning of each infrared sensor. The initial three-dimensional coordinates of the infrared emitter at the target moment are weighted summed to obtain the infrared emitter’s first The final positioning signal of the target at the moment, that is, the corrected three-dimensional coordinates, is calculated as follows:
[0096] ;
[0097] in, Indicates the infrared transmitter The final positioning signal of the target at the moment (i.e. the corrected three-dimensional coordinates), Infrared emitter The x-axis coordinate value, y-axis coordinate value, and z-axis coordinate value of the three-dimensional coordinates of the target at each moment; Indicates the The infrared sensor The initial positioning signal (i.e. initial three-dimensional coordinates) of the infrared transmitter detected at each target moment, Respectively The infrared sensor The x-axis coordinate value, y-axis coordinate value, and z-axis coordinate value of the three-dimensional coordinates of the infrared emitter detected at each target moment.
[0098] Therefore, through the above process, the final positioning signal of the infrared transmitter at each target moment is obtained. It should be understood that for moments other than the target moment, positioning correction can be omitted and the initial positioning signal at each moment can be used as the final positioning signal at each moment, thereby obtaining the final positioning signal at each moment. Based on the final positioning signal at each moment, the lighting angle control signal at each moment is generated to control the lighting operation.
[0099] It should be understood that this embodiment can also realize real-time positioning operation, that is, The target moment is used as the current moment to determine the performer's final positioning signal at that moment, thereby achieving lighting control at that moment. Subsequently, each time the time is updated, the performer's final positioning signal at that moment is obtained, achieving lighting position tracking control. In an exemplary embodiment, the performer's horizontal and vertical displacement angles, as well as movement speed, are calculated based on the performer's final positioning signal at that moment. The speed and angle of the light motor are then adjusted based on the movement speed and angle to achieve lighting control at that moment.
[0100] In one exemplary embodiment, the control device can also be configured to predict the final positioning signal of the performer at the next moment by using Kalman filtering algorithm according to the acquired final positioning signal of the performer at each moment, and then perform the position following control of the light according to the final positioning signal of the performer at the next moment. The process of predicting by using Kalman filtering algorithm is a prior art, which will not be described here.
[0101] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.
[0102] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment mainly describes the difference from other embodiments.
Claims
1. A lighting control system for a small broadcast vehicle, characterized in that: include: a control device and at least two infrared sensors, each infrared sensor being connected to the control device; Each infrared sensor is used to obtain the infrared signal of the infrared transmitter and transmit it to the control device; The control device is used to filter and obtain the target time according to the abnormality degree of the infrared signal at each time; The signal distortion degree at the target moment is obtained based on the difference between the infrared spectrum energy in the time window at the target moment and the preset normal spectrum energy; According to the difference in signal distortion between the target moment and other target moments, as well as the difference in infrared signal fluctuations in the time window, the infrared positioning correction weight of each infrared sensor at the target moment is obtained; The initial positioning signal determined by each infrared sensor is corrected according to the infrared positioning correction weight.
2. The lighting control system for a small broadcast vehicle as claimed in claim 1, characterized in that: The process of obtaining the abnormality degree includes: The first difference and the second difference at a certain moment are integrated to obtain the abnormality degree at that moment; the first difference is the difference between the infrared intensity at that moment and the overall infrared intensity, and the second difference is the difference between the infrared intensity at that moment and the infrared intensity at its adjacent moments.
3. The lighting control system for a small broadcast vehicle as claimed in claim 1, characterized in that: The target moment screening process includes: The abnormality degree of the infrared signal at each moment is clustered to obtain a target cluster with the highest abnormality degree, and each moment in the target cluster is the target moment.
4. The lighting control system for a small broadcast vehicle as claimed in claim 1, wherein: The process of obtaining the preset normal spectrum energy includes: Determine the time intervals outside the time window of all target moments; The infrared spectrum energy in each time interval is determined as the preset normal spectrum energy.
5. The lighting control system for a small broadcast vehicle as claimed in claim 4, characterized in that: The process of obtaining the signal distortion degree includes: The difference between the infrared spectrum energy of the time window at the target moment and the infrared spectrum energy of each time interval is fused to obtain the signal distortion degree at the target moment.
6. The lighting control system for a small broadcast vehicle as claimed in claim 1, characterized in that: The process of obtaining the infrared positioning correction weight includes: The signal impact index of the target time is obtained based on the difference in signal distortion between the target time and other target times, as well as the difference in infrared signal fluctuations in the time window. According to the signal influence index of each infrared sensor at the target time, the infrared positioning correction weight of each infrared sensor at the target time is obtained; the infrared positioning correction weight is inversely correlated with the signal influence index.
7. The lighting control system for a small broadcast vehicle as claimed in claim 6, characterized in that: The difference in the infrared signal fluctuation is specifically the difference between the variance of the infrared intensity of the infrared signal in the time window at the target moment and the variance of the infrared intensity of the infrared signal in the time windows at other target moments.
8. The lighting control system for a small broadcast vehicle as claimed in claim 7, characterized in that: The process of obtaining the signal impact indicator includes: The signal impact sub-indicator of the target moment and the reference target moment is obtained by fusing the difference in the degree of signal distortion between the target moment and the reference target moment, and the difference in the variance of the infrared intensity of the infrared signal in the time window where the target moment is located and the variance of the infrared intensity of the infrared signal in the time window where the reference target moment is located; the reference target moment is any one of the other target moments; The signal impact sub-indicators of the target moment and all reference target moments are fused to obtain the signal impact index of the target moment.
9. The lighting control system for a small broadcast vehicle as claimed in claim 1, characterized in that: The initial positioning signal determined by each infrared sensor is corrected according to the infrared positioning correction weight, including: According to the infrared positioning correction weight of each infrared sensor at the target time, the initial positioning signals of the target time determined by each infrared sensor are weighted and summed to obtain the final positioning signal at the target time.
10. The lighting control system for a small broadcast vehicle as claimed in claim 9, characterized in that: The control device is further configured to predict a final positioning signal at the next moment by using a Kalman filter algorithm.
Citation Information
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