CN116734220A - Stage lamp calibration method and system - Google Patents
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V23/00—Arrangement of electric circuit elements in or on lighting devices
- F21V23/003—Arrangement of electric circuit elements in or on lighting devices the elements being electronics drivers or controllers for operating the light source, e.g. for a LED array
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F30/20—Design optimisation, verification or simulation
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
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Abstract
The invention relates to the technical field of stage lamp calibration methods, in particular to a stage lamp calibration method and a stage lamp calibration system, comprising the following steps: designing and optimizing a system; light source control and parameter setting; selecting and configuring a sensor; data acquisition and transmission; algorithm development and optimization. In the invention, the light source position, direction and brightness distribution are described by establishing a mathematical model, the light source estimation and optimization are carried out by using a generated countermeasure network (GAN), the prediction precision and accuracy are improved, a model suitable for the light source estimation is constructed, a self-adaptive calibration algorithm is established, the color calibration algorithm is optimized, the calibration precision and robustness are improved, the color consistency and accuracy between stage lamps are realized, the light source adjustment algorithm is optimized by adopting an advanced image processing technology, the colors are precisely matched and mapped, the expected light effect and color expression are realized, an accurate reference value and a stable calibration result are provided by using a mathematical optimization method, the light source is self-adaptively adjusted and controlled, and the stability and consistency of the light source effect are maintained.
Description
Technical Field
The invention relates to the technical field of stage lamp calibration methods, in particular to a stage lamp calibration method and a stage lamp calibration system.
Background
The stage lamp calibration method comprises position adjustment, focal length adjustment, color temperature adjustment, light beam adjustment, light intensity adjustment, control system setting and light effect preview. Firstly, the position of the stage lamp is adjusted to a required position, so that the lamp light can be accurately irradiated to a target area. Then, the focal length of the lamplight is adjusted so that the lamplight can achieve the expected projection effect. Then, the color temperature of the stage lamp is adjusted according to the requirement to meet the performance or stage requirement. The angle or the shape of the light beam is adjusted, so that the light projection range and the light projection effect are ensured to meet the expectations. According to the performance needs, adjust the light intensity of stage lamp, the luminance of light promptly. Meanwhile, a control system of the stage lamp is arranged, and comprises a DMX console or light control software and the like, so that parameters of light can be accurately controlled. Finally, after the adjustment is finished, the preview and the debugging of the light effect are carried out, so that each stage lamp is ensured to work normally, and the expected effect is generated.
In the existing stage lamp calibration method, standard stage lamp data are used as references through information interaction modes among a plurality of groups of communication modules, and the calibration effect on the stage lamp is achieved based on the data received by the communication modules, but in the actual calibration process, the control method of the stage lamp lacks automatic calibration operation, the calibration of the stage lamp is possibly influenced by environmental factors, equipment abrasion and the like, and the algorithm can not accurately adjust the focal length, the direction and the brightness distribution of the stage lamp. If the stage lighting system comprises a plurality of light sources and a plurality of colors, such as RGB mixed light sources, it is necessary to ensure uniformity of calibration of these light sources. Achieving uniform calibration of multiple light sources and multiple colors requires designing corresponding algorithms and calibration strategies. Meanwhile, the calibration of the stage lamp is usually required to be performed under the condition of high real-time requirement, and if the system has large calibration delay, the calibration of the stage lamp may not be consistent with the actual requirement.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a stage lamp calibration method and system.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a stage lamp calibration method comprising the steps of:
designing and optimizing a system;
light source control and parameter setting;
selecting and configuring a sensor;
data acquisition and transmission;
algorithm development and optimization.
As a further aspect of the present invention, the system design and optimization includes:
selecting and configuring hardware equipment, wherein the hardware equipment comprises a CPU and network hardware, a cache system is designed by utilizing multi-core design and parallel computing technology, and a hardware acceleration technology is adopted;
the use of cloud/edge computing is optimized for the use case, selecting a high performance processor and parallel computing architecture.
As a further aspect of the present invention, the steps of designing and optimizing the system specifically include:
determining computing requirements and performance requirements of the system, including but not limited to processing speed, concurrency performance, energy consumption, and cost budgets;
selecting an Intel Core i9 processor supporting multi-Core design and parallel computation by referring to the number of cores, main frequency, cache size and architecture of the processor, and selecting a gigabit Ethernet interface card (Gigabit Ethernet NIC) as network hardware equipment by considering the data transmission requirement of the system;
Decomposing the calculation task into a plurality of independent subtasks, and carrying out parallel calculation by utilizing a plurality of processing units;
designing a cache system to reduce data access delay between a CPU and a main memory, setting cache capacity, a hierarchical structure and a replacement strategy, optimizing layout and management of a cache, and using a corresponding cache replacement strategy, such as LRU (least recently used) or LFU (least recently used);
using a Graphics Processor (GPU) and a dedicated accelerator card to accelerate a particular computing task;
and selecting an edge computing platform using the NVIDIA Jetson series to push computing resources to a position closer to a data source, so that the expandability and the responsiveness of the system are improved.
As a further aspect of the present invention, the steps of controlling the light source and setting the parameters specifically include:
standard DMX512 control interface and Art-Net protocol are used;
developing a set of control commands for the selected interface and protocol, the set of control commands including, but not limited to, switching lights, adjusting focal length, direction of rotation, adjusting brightness and color;
controlling the focal length and direction;
controlling brightness and color;
testing and adjusting.
As a further aspect of the present invention, the step of controlling the focal length and the direction specifically includes:
Adjusting the focal length and direction of the stage lamp by sending a control command;
setting a correct focal length value to control the far and near effect of light projection according to commands and parameters supported by the device;
the direction of the lamplight is matched with the stage requirement by adjusting the angle and the position of the stage lamp or using an electric control device;
the steps for controlling the brightness and the color are specifically as follows:
adjusting the brightness and color of the lamplight by using the control command and the parameter setting;
setting the brightness level of the lamplight according to the stage effect design so as to achieve the required illumination effect;
selecting a proper color mode or using a color wheel, a filter or an LED palette according to the requirement, and adjusting the color of the stage lamp;
the testing and adjusting steps are specifically as follows:
making a detailed test plan, including a range, a target and a step of testing;
the control panel is connected with the light source control console to send a control command and adjust parameters, and whether the communication between the control console and the stage lamp equipment is normal or not is confirmed;
testing control commands one by one, and confirming the function and effect of each command;
observing and evaluating light effects, including far and near light beams, accurate directions, moderate brightness, and correct colors;
Fine tuning parameters such as focal length, direction, brightness and the like according to observation and evaluation results;
the above steps are cycled until the desired effect and light scene are achieved.
As a further aspect of the present invention, the steps of selecting and configuring the sensor specifically include:
a photodiode array is adopted to acquire light intensity and color information, and a multispectral sensor is used for reference to determine the deployment mode of the sensor;
calibrating the sensor by using a standardized light source, a reference color card and a test mode to ensure that the output of the sensor is consistent with the actual light intensity and color;
the sensor system is configured to be integrated with a control system of the stage lamp.
As a further scheme of the present invention, the steps of data acquisition and transmission specifically include:
determining the type and the rate of data to be acquired, selecting USB 3.0 as a high-speed data interface to meet the requirement of data transmission, and referring to the compatibility of a sensor and acquisition equipment;
optimizing data compression and encoding, selecting a data compression algorithm and an encoding mode, and adjusting and optimizing data compression parameters according to the constraint of data characteristics and transmission bandwidth to realize the optimal compression effect;
Optimizing network configuration by a network topology method;
and carrying out data transmission by using a UDP protocol, configuring correct UDP parameters, and controlling the size of a buffer area and the size of a data packet.
As a further scheme of the invention, the algorithm development and optimization steps are specifically as follows:
developing and optimizing an algorithm;
optimizing an adaptive calibration algorithm and a color calibration algorithm;
advanced image processing and color theory applications;
parameter estimation and calibration, light source adjustment and system detection and optimization;
the algorithm development and optimization specifically comprises the steps of establishing a mathematical model to describe the position, direction and brightness distribution of a light source, generating a countermeasure network (GAN), carrying out light source estimation and optimization to improve prediction precision and accuracy, and constructing and training a deep learning model for light source estimation by using an existing TensorFlow deep learning framework;
the self-adaptive calibration and color calibration algorithm optimization is specifically that a self-adaptive calibration algorithm is established by collecting sample data and real-time feedback information, the calibration parameters of a light source are adjusted according to actual scene and environmental changes, a Support Vector Machine (SVM) is used for optimizing the color calibration algorithm, and the color calibration algorithm is developed and optimized based on the principles of color space conversion and color matching;
The application of the advanced image processing and color theory is specifically that the advanced image processing technology comprising color separation and light source analysis is applied to analyze and collect the characteristic information of stage lamps, optimize the light source adjustment algorithm, and apply the color theory, color space conversion and color mapping to accurately match and map the colors of the light sources so as to realize the expected lighting effect and color expression;
the parameter estimation and calibration, the light source adjustment and the system detection and optimization are specifically implemented by estimating and calibrating parameters by using a mathematical optimization method comprising nonlinear optimization and a particle swarm algorithm to provide accurate reference values and stable calibration results, adaptively adjusting and controlling the light source by using a feedback control technology according to the calibration results, and monitoring and analyzing performance indexes of the system by using a system identification and optimization method, including response time, volatility and error rate, to optimize the algorithm, fine-tune parameters and adjust hardware configuration.
A stage lamp calibration system consists of a system design and optimization module, a light source control and parameter setting module, a sensor selection and configuration module, a data acquisition and transmission module and an algorithm development and optimization module;
The system design and optimization module comprises a hardware configuration sub-module, a cache sub-module, a GPU and acceleration clip module and an edge computing platform sub-module;
the light source control and parameter setting module comprises a control interface sub-module, a control command sub-module and a parameter adjustment sub-module;
the sensor selection and configuration module comprises a sensor type sub-module, a sensor calibration sub-module and a sensor integration sub-module;
the data acquisition and transmission module comprises a data interface selection sub-module, a data compression sub-module and a data transmission sub-module;
the algorithm development and optimization module comprises a light source estimation sub-module, an adaptive calibration and color calibration sub-module, an image processing and color application sub-module and a parameter estimation and calibration sub-module.
As a further scheme of the invention, the hardware configuration submodule selects hardware equipment suitable for stage lamp calibration, and improves the system performance and response speed by optimizing hardware configuration;
the cache submodule designs and configures a cache system, manages data access, reduces data delay between a CPU and a main memory, and improves data reading and writing efficiency;
the GPU and the acceleration clip module accelerate specific computing tasks by using a Graphic Processor (GPU) and a special acceleration card, so that the computing performance and the efficiency of the system are improved;
The edge computing platform submodule selects an edge computing platform, and provides expandability and flexibility by utilizing the characteristics of high performance and low power consumption of the edge computing platform submodule, and is used for deployment and algorithm execution of a stage lamp calibration system;
the control interface submodule selects a standard light source control interface and a standard light source control protocol to realize communication and control with the stage lamp;
the control command submodule defines a complete set of control command set so as to facilitate the user to set and adjust parameters of the stage lamp;
the parameter adjustment submodule adjusts parameters such as focal length, direction, brightness, color and the like of the stage lamp in real time through control commands so as to meet the lighting effect of specific scenes and demands;
the sensor type submodule selects a sensor type for stage lamp calibration and is used for acquiring related information such as light intensity, color and the like;
the sensor calibration submodule calibrates the sensor to ensure that the output data of the sensor is consistent with the actual light intensity and color, and the accuracy and the reliability of the data are improved;
the sensor integration sub-module integrates the sensor system with a control system of the stage lamp, so that real-time acquisition of sensor data is ensured and cooperation with lamplight parameter adjustment is realized;
The data interface selection submodule selects a proper high-speed data interface so as to meet the requirement of data transmission and the compatibility of equipment;
the data compression sub-module optimizes a data compression and coding algorithm to reduce the bandwidth requirement of data transmission and improve the transmission efficiency and speed;
the data transmission sub-module uses UDP protocol to transmit data, and realizes stable and reliable data transmission and real-time property by correctly configuring UDP parameters;
the light source estimation submodule develops and optimizes a light source estimation algorithm, and accurately estimates and optimizes the light source by using a mathematical model and a deep learning model;
the self-adaptive calibration and color calibration submodule establishes a self-adaptive calibration algorithm and a color calibration algorithm to realize the matching and mapping of the lamplight effect;
the image processing and color application submodule applies advanced image processing and color theory algorithm to analyze the characteristic information of the stage lamp and realize light source adjustment and accurate color matching;
the parameter estimation and calibration sub-module uses a mathematical optimization method to estimate and calibrate system parameters, monitor and analyze system performance indexes, optimize algorithm and adjust hardware configuration, and realize high-efficiency and stable operation of the system.
Compared with the prior art, the invention has the advantages and positive effects that:
in the invention, the position, the direction and the brightness distribution of the light source are described by establishing a mathematical model, a countermeasure network (GAN) is generated, the light source estimation and optimization are carried out, the prediction precision and the accuracy are improved, and a deep learning model suitable for the light source estimation is built and trained based on the existing deep learning framework. By collecting sample data and real-time feedback information, a self-adaptive calibration algorithm is established to adjust calibration parameters of the light source according to actual scene and environmental changes, the color calibration algorithm is optimized, the calibration precision and robustness are improved, and the color calibration algorithm is developed and optimized to achieve color consistency and color accuracy among stage lamps. The light source is optimized by using an advanced image processing technology, a light source adjustment algorithm is optimized, accurate color matching and mapping are performed on the light source so as to achieve expected light effect and color expression, an accurate reference value and a stable calibration result are provided by using a mathematical optimization method, and self-adaptive adjustment and control are performed on the light source so as to keep stability and consistency of the light source effect.
Drawings
FIG. 1 is a schematic diagram of a stage lamp calibration method and system according to the present invention;
FIG. 2 is a schematic diagram showing the system design and optimization refinement of a stage lamp calibration method and system according to the present invention;
FIG. 3 is a detailed schematic diagram of the light source control and parameter setting steps of a stage lamp calibration method and system according to the present invention;
FIG. 4 is a detailed schematic diagram of a stage lamp calibration method and system selection and configuration sensor steps according to the present invention;
FIG. 5 is a detailed schematic diagram of the data acquisition and transmission steps of a stage lamp calibration method and system according to the present invention;
FIG. 6 is a detailed schematic diagram of the algorithm development and optimization steps of a stage lamp calibration method and system according to the present invention;
fig. 7 is a block diagram of a stage lamp calibration system according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In the description of the present invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention. Furthermore, in the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Example 1
Referring to fig. 1, the present invention provides a technical solution: a stage lamp calibration method comprising the steps of:
system design and optimization:
determining requirements and targets of a stage lighting system, including stage size, light source type, light intensity requirements, color control and the like;
the light source arrangement and location is designed to achieve the desired light coverage and uniformity. Consider using different types and angles of light fixtures to achieve different light effects;
the design of the light source regulation and control system comprises a control console, a light source control chip, a driving circuit and the like. The system can be ensured to control the brightness and the color of the light source stably and accurately;
performing energy management and thermal management of the system, optimizing energy utilization and heat dissipation effects, and improving efficiency and stability of the system;
system testing and performance optimization are continuously carried out, and adjustment and improvement are carried out according to actual effects so as to achieve better stage lighting effects and user experience.
Light source control and parameter setting:
control parameters of the light source, such as brightness, color, brightness gradation, etc., are determined. Determining a proper parameter range and a proper control mode according to stage requirements;
parameter setting is carried out by using light source control equipment (such as a light control console), so that the light source is ensured to be controlled according to the expected requirement, and the required light effect can be realized;
For complex light source control requirements, programming and automation techniques, such as DMX (digital multiplex) control protocols, may be used to achieve finer and flexible light source control.
Selecting and configuring sensors:
determining information to be acquired, such as light intensity, color, spectral distribution and the like;
selecting a proper sensor type according to requirements, such as a photodiode, a photodiode array, a multispectral sensor or a color camera, etc.;
determining a deployment mode of the sensor, and arranging a sensor array or a plurality of cameras to cover the stage area in a full-scale manner;
performing calibration and verification on the sensor to ensure that the output of the sensor is consistent with the actual light intensity and color;
the configuration sensor system is integrated with the stage lighting control system, ensures interface compatibility, and is connected and configured as required.
Data acquisition and transmission:
selecting a proper high-speed data interface and ensuring compatibility between the sensor output and the acquisition equipment;
effective data compression is carried out to reduce information loss and improve transmission efficiency;
configuring high-speed stable network hardware such as an Ethernet switch to meet the requirement of data transmission;
the UDP protocol is used for data transmission to reduce transmission delay and overhead.
And performing transmission performance test and optimization, checking throughput, delay and stability, and adjusting parameters and configuration according to actual conditions.
Algorithm development and optimization:
developing a mathematical model and accurately estimating the position, direction and brightness distribution of the light source by using a deep learning method;
performing self-adaptive calibration by using a machine learning algorithm, and improving the precision of a color calibration algorithm;
color conversion and color theory are applied to carry out color matching and mapping so as to keep consistency and design requirements of stage lamps;
and carrying out parameter estimation and calibration according to the actual effect, light source adjustment and system detection and optimization so as to improve the performance and stability of the system.
Referring to fig. 2, the system design and optimization includes:
selecting and configuring hardware equipment, wherein the hardware equipment comprises a CPU and network hardware, a cache system is designed by utilizing multi-core design and parallel computing technology, and a hardware acceleration technology is adopted;
the use of cloud/edge computing is optimized for the use case, selecting a high performance processor and parallel computing architecture.
Referring to fig. 2, the system design and optimization steps are as follows:
determining computing requirements and performance requirements of the system, including but not limited to processing speed, concurrency performance, energy consumption, and cost budgets;
Selecting an Intel Core i9 processor supporting multi-Core design and parallel computation by referring to the number of cores, main frequency, cache size and architecture of the processor, and selecting a gigabit Ethernet interface card (Gigabit Ethernet NIC) as network hardware equipment by considering the data transmission requirement of the system;
decomposing the calculation task into a plurality of independent subtasks, and carrying out parallel calculation by utilizing a plurality of processing units;
designing a cache system to reduce data access delay between a CPU and a main memory, setting cache capacity, a hierarchical structure and a replacement strategy, optimizing layout and management of a cache, and using a corresponding cache replacement strategy, such as LRU (least recently used) or LFU (least recently used);
using a Graphics Processor (GPU) and a dedicated accelerator card to accelerate a particular computing task;
and selecting an edge computing platform using the NVIDIA Jetson series to push computing resources to a position closer to a data source, so that the expandability and the responsiveness of the system are improved.
First, selecting a high performance processor that supports multi-Core design and parallel computing, such as Intel Core i9, may improve computing performance and concurrency performance. The multi-core design and parallel computing technology can process a plurality of tasks and parallel computing simultaneously, and the processing speed of the system is improved. Second, with Graphics Processors (GPUs) and dedicated accelerator cards, certain computing tasks can be accelerated, with these devices having parallel processing capabilities and dedicated hardware accelerators. In addition, in the aspect of optimizing data transmission, a gigabit Ethernet interface card is selected as network hardware equipment, so that high-speed and stable data transmission is provided, transmission delay is reduced, and the responsiveness of the system is enhanced. In terms of hardware design, a cache system is designed to reduce data access delay between a CPU and a main memory, and data access speed and hit rate are improved by optimizing cache capacity, a hierarchical structure and a replacement policy. In addition, the NVIDIA Jetson series edge computing platform is selected, computing resources are pushed to a position closer to a data source, data transmission requirements and delay are reduced, and reliability and responsiveness of the system are improved. In summary, by integrating these hardware configurations and technical means, the system can meet the computing requirements and performance requirements with higher computing performance, faster data transmission speed and better responsiveness, and improve the efficiency and user experience of the system.
Referring to fig. 3, the steps of light source control and parameter setting are specifically as follows:
standard DMX512 control interface and Art-Net protocol are used;
developing a set of control commands for the selected interface and protocol, the set of control commands including, but not limited to, switching lights, adjusting focal length, direction of rotation, adjusting brightness and color;
controlling the focal length and direction;
controlling brightness and color;
testing and adjusting.
Referring to fig. 3, the steps of controlling the focal length and direction are specifically as follows:
adjusting the focal length and direction of the stage lamp by sending a control command;
setting a correct focal length value to control the far and near effect of light projection according to commands and parameters supported by the device;
the direction of the lamplight is matched with the stage requirement by adjusting the angle and the position of the stage lamp or using an electric control device;
the steps of controlling the brightness and the color are specifically as follows:
adjusting the brightness and color of the lamplight by using the control command and the parameter setting;
setting the brightness level of the lamplight according to the stage effect design so as to achieve the required illumination effect;
selecting a proper color mode or using a color wheel, a filter or an LED palette according to the requirement, and adjusting the color of the stage lamp;
the testing and adjusting steps are as follows:
Making a detailed test plan, including a range, a target and a step of testing;
the control panel is connected with the light source control console to send a control command and adjust parameters, and whether the communication between the control console and the stage lamp equipment is normal or not is confirmed;
testing control commands one by one, and confirming the function and effect of each command;
observing and evaluating light effects, including far and near light beams, accurate directions, moderate brightness, and correct colors;
fine tuning parameters such as focal length, direction, brightness and the like according to observation and evaluation results;
the above steps are cycled until the desired effect and light scene are achieved.
The use of standard DMX512 control interfaces and the Art-Net protocol, and the development of control command sets suitable for these interfaces and protocols, enables overall control of the lighting system. The distance and the projection direction of the light can be adjusted according to specific requirements by controlling the focal length and the direction, so that an ideal stage effect is achieved. The brightness and the color can be controlled to adjust the brightness level and the color of the lamplight according to the requirements so as to create the lighting effect suitable for different scenes and atmospheres. Through the testing and adjusting steps, the controlled lighting system can be ensured to work normally, and fine adjustment can be carried out according to actual conditions so as to realize expected effects. Overall, these control and regulation measures can improve the flexibility, adjustability and adaptability of the stage lighting system, so as to meet different performance requirements and promote stage effects.
Referring to fig. 4, the steps of selecting and configuring the sensor are specifically as follows:
a photodiode array is adopted to acquire light intensity and color information, and a multispectral sensor is used for reference to determine the deployment mode of the sensor;
calibrating the sensor by using a standardized light source, a reference color card and a test mode to ensure that the output of the sensor is consistent with the actual light intensity and color;
the sensor system is configured to be integrated with a control system of the stage lamp.
The step of selecting and configuring the sensor includes acquiring light intensity and color information using a photodiode array or a multispectral sensor, and determining a deployment mode of the sensor. And (3) calibrating the sensor, namely calibrating by using a standardized light source, a reference color card and a test mode, and ensuring that the output of the sensor is consistent with the actual light intensity and color. And finally, integrating the sensor system configuration with the stage lighting control system to realize real-time feedback and accurate control. Embodiments incorporating these steps will bring several benefits, including real-time feedback, accurate control, system integration, and flexibility and adaptability improvements. Through the selection and the configuration of the sensor, the stage lighting system can realize more accurate, flexible and efficient lighting effects, meet different performance demands and promote user experience.
Referring to fig. 5, the steps of data acquisition and transmission are as follows:
determining the type and the rate of data to be acquired, selecting USB 3.0 as a high-speed data interface to meet the requirement of data transmission, and referring to the compatibility of a sensor and acquisition equipment;
optimizing data compression and encoding, selecting a data compression algorithm and an encoding mode, and adjusting and optimizing data compression parameters according to the constraint of data characteristics and transmission bandwidth to realize the optimal compression effect;
optimizing network configuration by a network topology method;
and carrying out data transmission by using a UDP protocol, configuring correct UDP parameters, and controlling the size of a buffer area and the size of a data packet.
The data acquisition and transmission steps include determining the type of data to be acquired and the acquisition rate, selecting a suitable high-speed data interface such as USB 3.0, optimizing data compression and encoding, optimizing network configuration, and transmitting data using the UDP protocol. By the embodiments of the steps, high-speed, accurate and reliable data acquisition and transmission can be realized, and a plurality of beneficial effects are brought. This includes providing fast data transmission speeds, conserving bandwidth, optimizing network stability and transmission efficiency, and ensuring real-time and reliability of data. By integrating the steps, a high-efficiency data acquisition and transmission system can be realized, the requirements of data processing and analysis are met, and the performance and reliability of the system are improved.
Referring to fig. 6, the algorithm development and optimization steps are specifically:
developing and optimizing an algorithm;
optimizing an adaptive calibration algorithm and a color calibration algorithm;
advanced image processing and color theory applications;
parameter estimation and calibration, light source adjustment and system detection and optimization;
the algorithm development and optimization are specifically that a mathematical model is built to describe the position, the direction and the brightness distribution of a light source, a countermeasure network (GAN) is generated, the light source estimation and optimization are carried out, so that the prediction precision and accuracy are improved, an existing TensorFlow deep learning framework is used, and a deep learning model for light source estimation is built and trained;
the optimization of the self-adaptive calibration and color calibration algorithm is specifically that the self-adaptive calibration algorithm is established by collecting sample data and real-time feedback information, the calibration parameters of the light source are adjusted according to actual scene and environmental changes, a Support Vector Machine (SVM) is used for optimizing the color calibration algorithm, and the color calibration algorithm is developed and optimized based on the principles of color space conversion and color matching;
the advanced image processing and color theory application is specifically that the advanced image processing technology comprising color separation and light source analysis is applied to analyze and collect the characteristic information of stage lamps, optimize the light source adjustment algorithm, and apply color theory, color space conversion and color mapping to accurately match and map the light source so as to realize the expected light effect and color expression;
The parameter estimation and calibration, the light source adjustment and the system detection and optimization are specifically implemented by estimating and calibrating parameters by using a mathematical optimization method comprising nonlinear optimization and a particle swarm algorithm to provide accurate reference values and stable calibration results, adaptively adjusting and controlling the light source by using a feedback control technology according to the calibration results, and monitoring and analyzing performance indexes of the system by using a system identification and optimization method, including response time, volatility and error rate, to optimize the algorithm, finely adjust the parameters and adjust hardware configuration.
The algorithm development and optimization steps comprise the key contents of self-adaptive calibration, color calibration algorithm optimization, advanced image processing, color theory application, parameter estimation and calibration, light source adjustment, system detection and optimization and the like. The aim of algorithm development and optimization is to improve the prediction precision, realize self-adaptive calibration and color matching, optimize light source adjustment, and improve the system performance through parameter estimation and calibration and system detection and optimization.
In specific implementation, a mathematical model may be built to describe the position, direction and brightness distribution of the light source, and a deep learning model (e.g., a generation countermeasure network based on a TensorFlow) may be used to perform light source estimation and optimization, so as to improve prediction accuracy and precision. Meanwhile, by collecting sample data and real-time feedback information, a self-adaptive calibration algorithm is established, and a color calibration algorithm is optimized by means of a Support Vector Machine (SVM), so that the calibration parameters and color matching accuracy of the light source are ensured to be reliable.
Further, advanced image processing techniques (e.g., color separation, light source analysis) and color theory are applied, in combination with color space conversion and color mapping, to achieve optimization of light source adjustment to precisely match and map desired lighting effects and color performance. In addition, the parameters are estimated and calibrated by adopting a mathematical optimization method (such as nonlinear optimization and particle swarm optimization), and the self-adaptive adjustment of the light source and the monitoring and optimization of the system performance are realized through a feedback control technology and system detection and optimization.
In summary, through the algorithm development and optimization steps, the prediction precision can be improved, the adaptive calibration and the color calibration can be realized, the advanced image processing and the color theory can be applied, the parameter estimation and the calibration can be performed, and the light source adjustment and the system performance can be optimized, so that the performance and the user experience of the stage lighting system can be improved. The comprehensive implementation of the steps ensures the accuracy, stability and reliability of the stage lighting effect, meets the requirements of different performances, and improves the performance and the function level of the whole system.
Referring to fig. 7, a stage lamp calibration system is composed of a system design and optimization module, a light source control and parameter setting module, a sensor selection and configuration module, a data acquisition and transmission module, and an algorithm development and optimization module;
The system design and optimization module comprises a hardware configuration sub-module, a cache sub-module, a GPU and acceleration clip module and an edge computing platform sub-module;
the light source control and parameter setting module comprises a control interface sub-module, a control command sub-module and a parameter adjusting sub-module;
the sensor selection and configuration module comprises a sensor type sub-module, a sensor calibration sub-module and a sensor integration sub-module;
the data acquisition and transmission module comprises a data interface selection sub-module, a data compression sub-module and a data transmission sub-module;
the algorithm development and optimization module comprises a light source estimation sub-module, an adaptive calibration and color calibration sub-module, an image processing and color application sub-module and a parameter estimation and calibration sub-module.
Referring to fig. 7, the hardware configuration submodule selects a hardware device suitable for stage lamp calibration, and improves the system performance and response speed by optimizing hardware configuration;
the cache submodule designs and configures a cache system, manages data access, reduces data delay between a CPU and a main memory, and improves data reading and writing efficiency;
the GPU and the acceleration clip module accelerate specific computing tasks by using a Graphic Processor (GPU) and a special acceleration card, so that the computing performance and the efficiency of the system are improved;
The edge computing platform submodule selects an edge computing platform, and provides expandability and flexibility by utilizing the characteristics of high performance and low power consumption of the edge computing platform submodule, and is used for deployment and algorithm execution of a stage lamp calibration system;
the control interface submodule selects a standard light source control interface and a standard light source control protocol to realize communication and control with the stage lamp;
the control command submodule defines a complete set of control command set so as to facilitate the user to set and adjust parameters of the stage lamp;
the parameter adjustment sub-module adjusts parameters such as focal length, direction, brightness, color and the like of the stage lamp in real time through control commands so as to meet the lighting effect of specific scenes and requirements;
the sensor type submodule selects a sensor type for stage lamp calibration and is used for acquiring related information such as light intensity, color and the like;
the sensor calibration submodule calibrates the sensor to ensure that the output data of the sensor is consistent with the actual light intensity and color, and the accuracy and the reliability of the data are improved;
the sensor integration sub-module integrates the sensor system with a control system of the stage lamp, so that real-time acquisition of sensor data is ensured and cooperation with lamplight parameter adjustment is realized;
the data interface selection submodule selects a proper high-speed data interface so as to meet the requirement of data transmission and the compatibility of equipment;
The data compression sub-module optimizes a data compression and coding algorithm to reduce the bandwidth requirement of data transmission and improve the transmission efficiency and speed;
the data transmission sub-module uses UDP protocol to transmit data, and realizes stable and reliable data transmission and real-time property by correctly configuring UDP parameters;
the light source estimation submodule develops and optimizes a light source estimation algorithm, and a mathematical model and a deep learning model are utilized to accurately estimate and optimize the light source;
the self-adaptive calibration and color calibration submodule establishes a self-adaptive calibration algorithm and a color calibration algorithm to realize the matching and mapping of the lamplight effect;
the image processing and color application submodule applies advanced image processing and color theory algorithm to analyze the characteristic information of the stage lamp and realize light source adjustment and accurate color matching;
the parameter estimation and calibration sub-module uses a mathematical optimization method to estimate and calibrate system parameters, monitor and analyze system performance indexes, optimize algorithm and adjust hardware configuration, and realize high-efficiency and stable operation of the system.
Working principle: designing and optimizing a system (determining requirements and targets of a stage lighting system, including stage size, light source type, light intensity requirement, color control and the like; designing light source arrangement and position to realize required light coverage and uniformity; considering using different types and angles of lamps to realize different light effects; designing a light source regulation and control system, including a control console, a light source control chip, a driving circuit and the like; ensuring that the system can stably and accurately control the brightness and color of a light source; performing energy management and thermal management of the system, optimizing energy utilization and heat dissipation effect, improving efficiency and stability of the system; continuously performing system test and performance optimization, and adjusting and improving according to actual effect to realize better stage lighting effect and user experience);
Light source control and parameter setting (determining control parameters of the light source, such as brightness, color, brightness gradual change, etc. determining proper parameter range and control mode according to stage requirements, using light source control equipment (such as a photostable) to perform parameter setting, ensuring that the light source is controlled according to expected requirements and can realize required light effect, and for complex light source control requirements, programming and automation techniques such as DMX (digital multiplexing signal transmission) control protocol can be used to realize finer and flexible light source control);
selecting and configuring a sensor (determining information required to be acquired, such as light intensity, color, spectrum distribution and the like, selecting proper sensor types, such as photodiodes, photodiode arrays, multispectral sensors or color cameras and the like according to requirements, determining a deployment mode of the sensor, arranging the sensor arrays or a plurality of cameras to cover a stage area on the whole, calibrating and checking the sensor to ensure that the output of the sensor is consistent with the actual light intensity and color, configuring a sensor system to be integrated with a stage light control system to ensure interface compatibility, and connecting and configuring the sensor according to requirements);
Data acquisition and transmission (selecting proper high-speed data interface and ensuring compatibility between sensor output and acquisition equipment, performing effective data compression to reduce information loss and improve transmission efficiency, configuring high-speed stable network hardware such as Ethernet switch to meet the requirement of data transmission, and performing data transmission by using UDP protocol to reduce transmission delay and cost).
Algorithm development and optimization (developing a mathematical model and utilizing a deep learning method to accurately estimate the position, the direction and the brightness distribution of a light source, performing self-adaptive calibration by using a machine learning algorithm to improve the accuracy of a color calibration algorithm, performing color matching and mapping by applying color conversion and color theory to keep consistency and design requirements of stage lamps, and performing parameter estimation and calibration, light source adjustment and system detection and optimization according to actual effects to improve the performance and stability of a system).
The present invention is not limited to the above embodiments, and any equivalent embodiments which can be changed or modified by the technical disclosure described above can be applied to other fields, but any simple modification, equivalent changes and modification made to the above embodiments according to the technical matter of the present invention will still fall within the scope of the technical disclosure.
Claims (8)
1. A stage lamp calibration method comprising the steps of:
designing and optimizing a system;
light source control and parameter setting;
selecting and configuring a sensor;
data acquisition and transmission;
developing and optimizing an algorithm;
the steps of light source control and parameter setting are specifically as follows:
using a standard control interface and the Art-Net protocol;
developing a control command set for the selected interface and protocol, the control command set including switching on and off the lamp, adjusting focal length, rotating direction, adjusting brightness and color;
controlling the focal length and direction;
controlling brightness and color;
testing and adjusting; the steps for controlling the focal length and the direction are specifically as follows:
adjusting the focal length and direction of the stage lamp by sending a control command;
setting a correct focal length value to control the far and near effect of light projection according to commands and parameters supported by the device;
the direction of the lamplight is matched with the stage requirement by adjusting the angle and the position of the stage lamp or using an electric control device;
the steps for controlling the brightness and the color are specifically as follows:
adjusting the brightness and color of the lamplight by using the control command and the parameter setting;
setting the brightness level of the lamplight according to the stage effect design so as to achieve the required illumination effect;
Selecting a proper color mode or using a color wheel, a filter or an LED palette according to the requirement, and adjusting the color of the stage lamp;
the testing and adjusting steps are specifically as follows:
making a detailed test plan, including a range, a target and a step of testing;
the control panel is connected with the light source control console to send a control command and adjust parameters, and whether the communication between the control console and the stage lamp equipment is normal or not is confirmed;
testing control commands one by one, and confirming the function and effect of each command;
observing and evaluating light effects, including far and near light beams, accurate directions, moderate brightness, and correct colors;
fine tuning focal length, direction and brightness parameters according to the observation and evaluation results;
and (5) circulating the steps until the set effect and the light scene are achieved.
2. A stage lamp calibration method according to claim 1, wherein the system design and optimization comprises:
selecting and configuring hardware equipment, wherein the hardware equipment comprises a CPU and network hardware, a cache system is designed by utilizing multi-core design and parallel computing technology, and a hardware acceleration technology is adopted;
the use of cloud/edge computing is optimized for the use case, selecting a high performance processor and parallel computing architecture.
3. Stage lamp calibration method according to claim 1, characterized in that the system design and optimization steps are in particular:
determining computing requirements and performance requirements of the system, including processing speed, concurrency performance, energy consumption, and cost budget;
selecting processors supporting multi-core design and parallel computation by referring to the number of cores, main frequency, cache size and architecture of the processors, and selecting a gigabit Ethernet interface card as network hardware equipment by considering the data transmission requirement of the system;
decomposing the calculation task into a plurality of independent subtasks, and carrying out parallel calculation by utilizing a plurality of processing units;
designing a cache system to reduce data access delay between a CPU and a main memory, setting cache capacity, a hierarchical structure and a replacement strategy, optimizing layout and management of a cache, and using a corresponding cache replacement strategy, such as LRU or LFU;
using a graphics processor and a dedicated accelerator card to accelerate the computing task;
and selecting an edge computing platform to push computing resources to a position closer to a data source, so that the expandability and the responsiveness of the system are improved.
4. Stage light calibration method according to claim 1, characterized in that the step of selecting and configuring the sensor is in particular:
A photodiode array is adopted to acquire light intensity and color information, and a multispectral sensor is used for reference to determine the deployment mode of the sensor;
calibrating the sensor by using a standardized light source, a reference color card and a test mode to ensure that the output of the sensor is consistent with the actual light intensity and color;
the sensor system is configured to be integrated with a control system of the stage lamp.
5. Stage light calibration method according to claim 1, characterized in that the data acquisition and transmission steps are in particular:
determining the type and the rate of data to be acquired, selecting USB 3.0 as a high-speed data interface to meet the requirement of data transmission, and referring to the compatibility of a sensor and acquisition equipment;
optimizing data compression and encoding, selecting a data compression algorithm and an encoding mode, and adjusting and optimizing data compression parameters according to the constraint of data characteristics and transmission bandwidth to realize the optimal compression effect;
optimizing network configuration by a network topology method;
and carrying out data transmission by using a UDP protocol, configuring correct UDP parameters, and controlling the size of a buffer area and the size of a data packet.
6. Stage lamp calibration method according to claim 1, characterized in that the algorithm development and optimization steps are in particular:
Developing and optimizing an algorithm;
optimizing an adaptive calibration algorithm and a color calibration algorithm;
advanced image processing and color theory applications;
parameter estimation and calibration, light source adjustment and system detection and optimization;
the algorithm development and optimization specifically comprises the steps of establishing a mathematical model to describe the position, direction and brightness distribution of a light source, generating an countermeasure network, carrying out light source estimation and optimization to improve prediction precision and accuracy, and constructing and training a deep learning model for light source estimation by using an existing TensorFlow deep learning framework;
the self-adaptive calibration and color calibration algorithm optimization is specifically that a self-adaptive calibration algorithm is established by collecting sample data and real-time feedback information, the calibration parameters of a light source are adjusted according to actual scene and environment changes, a support vector machine is used for optimizing the color calibration algorithm, and the color calibration algorithm is developed and optimized based on the principles of color space conversion and color matching;
the application of the advanced image processing and color theory is specifically that the characteristic information of stage lamps is analyzed and collected by using advanced image processing technology comprising color separation and light source analysis, a light source adjustment algorithm is optimized, and the light source is precisely color matched and mapped by using color theory, color space conversion and color mapping so as to realize light effect and color expression;
The parameter estimation and calibration, the light source adjustment and the system detection and optimization are specifically implemented by estimating and calibrating parameters by using a mathematical optimization method comprising nonlinear optimization and a particle swarm algorithm to provide accurate reference values and stable calibration results, adaptively adjusting and controlling the light source by using a feedback control technology according to the calibration results, and monitoring and analyzing performance indexes of the system by using a system identification and optimization method, including response time, volatility and error rate, to optimize the algorithm, fine-tune parameters and adjust hardware configuration.
7. The stage lamp calibration system is characterized by comprising a system design and optimization module, a light source control and parameter setting module, a sensor selection and configuration module, a data acquisition and transmission module and an algorithm development and optimization module;
the system design and optimization module comprises a hardware configuration sub-module, a cache sub-module, a GPU and acceleration clip module and an edge computing platform sub-module;
the light source control and parameter setting module comprises a control interface sub-module, a control command sub-module and a parameter adjustment sub-module;
the sensor selection and configuration module comprises a sensor type sub-module, a sensor calibration sub-module and a sensor integration sub-module;
The data acquisition and transmission module comprises a data interface selection sub-module, a data compression sub-module and a data transmission sub-module;
the algorithm development and optimization module comprises a light source estimation sub-module, an adaptive calibration and color calibration sub-module, an image processing and color application sub-module and a parameter estimation and calibration sub-module.
8. Stage light calibration system according to claim 7, characterized in that the hardware configuration submodule selects a hardware device suitable for stage light calibration, and improves system performance and response speed by optimizing hardware configuration;
the cache submodule designs and configures a cache system, manages data access, reduces data delay between a CPU and a main memory, and improves data reading and writing efficiency;
the GPU and the acceleration clip module accelerate the calculation task by using a graphic processor and a special acceleration card, so that the calculation performance and efficiency of the system are improved;
the edge computing platform submodule selects an edge computing platform, and provides expandability and flexibility by utilizing the characteristics of high performance and low power consumption of the edge computing platform submodule, and is used for deployment and algorithm execution of a stage lamp calibration system;
the control interface submodule selects a standard light source control interface and a standard light source control protocol to realize communication and control with the stage lamp;
The control command submodule defines a complete set of control command set so as to facilitate the user to set and adjust parameters of the stage lamp;
the parameter adjustment submodule adjusts parameters of focal length, direction, brightness and color of the stage lamp in real time through control commands so as to meet the lighting effect of specific scenes and requirements;
the sensor type submodule selects a sensor type for stage lamp calibration and is used for acquiring light intensity and color related information;
the sensor calibration submodule calibrates the sensor to ensure that the output data of the sensor is consistent with the actual light intensity and color, and the accuracy and the reliability of the data are improved;
the sensor integration sub-module integrates the sensor system with a control system of the stage lamp, so that real-time acquisition of sensor data is ensured and cooperation with lamplight parameter adjustment is realized;
the data interface selection submodule selects a proper high-speed data interface so as to meet the requirement of data transmission and the compatibility of equipment;
the data compression sub-module optimizes a data compression and coding algorithm to reduce the bandwidth requirement of data transmission and improve the transmission efficiency and speed;
the data transmission sub-module uses UDP protocol to transmit data, and realizes stable and reliable data transmission and real-time property by correctly configuring UDP parameters;
The light source estimation submodule develops and optimizes a light source estimation algorithm, and accurately estimates and optimizes the light source by using a mathematical model and a deep learning model;
the self-adaptive calibration and color calibration submodule establishes a self-adaptive calibration algorithm and a color calibration algorithm to realize the matching and mapping of the lamplight effect;
the image processing and color application submodule applies advanced image processing and color theory algorithm to analyze the characteristic information of the stage lamp and realize light source adjustment and accurate color matching;
the parameter estimation and calibration sub-module uses a mathematical optimization method to estimate and calibrate system parameters, monitor and analyze system performance indexes, optimize algorithm and adjust hardware configuration, and realize high-efficiency and stable operation of the system.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117346120A (en) * | 2023-12-04 | 2024-01-05 | 广东保伦电子股份有限公司 | Color-changing control system for stage lighting |
| CN117346120B (en) * | 2023-12-04 | 2024-02-09 | 广东保伦电子股份有限公司 | Color-changing control system for stage lighting |
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