CN117939760A - Intelligent stage lighting control method and system - Google Patents
Intelligent stage lighting control method and system Download PDFInfo
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Abstract
The application relates to the technical field of light source control, and provides a stage lighting intelligent control method and system, wherein the method comprises the following steps: acquiring a lamplight angle data sequence and a lamplight intensity data sequence; respectively constructing a lamplight angle state matrix and a lamplight intensity state matrix according to the lamplight angle data sequence and the lamplight intensity data sequence; calculating a stage lighting control state difference coefficient according to the light angle state matrix and the light intensity state matrix; calculating a stage light deduction deviation coefficient according to the stage light control state difference coefficient; and acquiring stage light deduction prediction window parameters according to the stage light deduction deviation coefficients, acquiring a light angle state vector and a light intensity state vector based on the stage light deduction prediction window parameters, and intelligently controlling the stage light parameters according to the light angle state vector and the light intensity state vector. The application improves the accuracy of intelligent control of the stage lighting by constructing the stage lighting deduction prediction window parameter.
Description
Technical Field
The application relates to the technical field of light source control, in particular to an intelligent stage lighting control method and system.
Background
In recent years, along with the development of lighting technology, control technology and communication technology, various lighting projects are rapidly developed, wherein the traditional stage lighting has more mature control technology and product support after decades of development, but in order to better highlight the performance of a stage, complicated lighting design and use are required, and a great difficulty is brought to the control of the stage lighting. With the development of related control technologies, the rapid development of information technologies, and the rapid rise of internet and computer technologies, a stage lighting control technology has also been developed, for example, using a new stage lighting control technology named DMX 512. The control technology develops on the basis of the simulated light control technology, not only is the technology capable of adjusting the brightness of the light adopted, but also the problems of laying the circuit of stage light and the complexity of switch control are improved.
The intelligent control of stage lighting involves the integration of various technical means, and a plurality of components such as a sensor, a controller, network communication and the like are organically combined together to ensure the stability and reliability of the system; the stage lighting intelligent control system needs to process a large amount of data, including lighting effect parameters, performance contents, environmental conditions and the like, and needs powerful data processing and analysis capability; in addition, the lighting equipment consumes a large amount of electric energy in the long-time use process, and how to perform energy management and energy saving optimization through the intelligent control system becomes an important problem; the stage performance has higher requirements on the accuracy and stability of the light effect, and the intelligent control system needs to consider the safety and stability while ensuring the effect; the intelligent control system needs to consider a good interaction interface and user experience with operators, ensures simple and visual operation and improves working efficiency.
The effect that the scene environment changes will direct stage lighting in the actual performance process, wherein the in-process of performing the performance through setting up the stage of accomplishing, realize the control of stage lighting through stage lighting central control system automatic change the angle and the luminance of shining of different position lights, but current stage lighting equipment intelligent control system chases after the light control effect relatively poor, preset light is thrown the distance and is thrown the distance error with actual output, seriously influence the overall effect of stage, for example because the equipment reason of setting up in the scene in fact, actual environment reason (for example the weather reason of outfield stage) etc. all probably cause stage lighting to appear the deviation in the in-process of using in fact, thereby lead to the control error increase of stage lighting, reduce the effect of the use of stage lighting.
Disclosure of Invention
The application provides a stage lighting intelligent control method and a stage lighting intelligent control system, which aim to solve the problem of poor stage lighting intelligent control effect, and the adopted technical scheme is as follows:
In a first aspect, an embodiment of the present application provides a stage lighting intelligent control method, including the steps of:
Acquiring a lamplight angle data sequence and a lamplight intensity data sequence;
Respectively constructing a lamplight angle state matrix and a lamplight intensity state matrix of each lamplight combination according to the lamplight angle data sequence and the lamplight intensity data sequence; calculating a stage light control state difference coefficient of each light combination at each acquisition time according to the state difference of data in the light angle state matrix and the light intensity state matrix of each light combination; obtaining a local lamplight angle state matrix and a local lamplight intensity state matrix according to the stage lighting control state difference coefficient of each lamplight combination at each acquisition time;
obtaining a lamplight deduction state difference pair according to the local lamplight angle state matrix and the local lamplight intensity state matrix; calculating stage lighting deduction deviation coefficients of each lighting combination according to the lighting deduction state difference pair; calculating stage light deduction prediction window parameters of each light combination according to the stage light deduction deviation coefficient of each light combination; obtaining a lamplight angle state vector and a lamplight intensity state vector according to stage lamplight deduction prediction window parameters of each lamplight combination;
And carrying out self-adaptive adjustment control on parameters of each light combination according to the light angle state vector and the light intensity state vector.
Preferably, the method for respectively constructing the lamplight angle state matrix and the lamplight intensity state matrix of each lamplight combination according to the lamplight angle data sequence and the lamplight intensity data sequence comprises the following steps:
Taking the light angle data sequence of each light in each light combination as one row of data in a matrix, and taking the matrix formed by the light angle data sequences of all lights in each light combination as a light angle state matrix of each light combination; taking the light intensity data sequence of each light in each light combination as one row of data of a matrix, and taking the matrix formed by the light intensity data sequences of all lights in each light combination as the light intensity state matrix of each light combination.
Preferably, the method for calculating the stage lighting control state difference coefficient of each light combination at each collection time according to the state difference of the data in the light angle state matrix and the light intensity state matrix of each light combination comprises the following steps:
for the light angle state matrix and the light intensity state matrix of each light combination, respectively taking each column of data in the light angle state matrix and the light intensity state matrix as the input of an LOF algorithm, acquiring the LOF value of each column of data in the light angle state matrix and the light intensity state matrix, and respectively taking a sequence formed by the LOF values of each column of data in the light angle state matrix and the light intensity state matrix as a light angle state feature vector and a light intensity state feature vector corresponding to each acquisition time;
For each collection time of each light combination, taking the sum of the similarity measurement result of the light angle state characteristic vector and the similarity measurement result of the light intensity state characteristic vector of each collection time and other collection time and 0.01 as a denominator, taking the absolute value of the difference between the average value of all data corresponding to each collection time in the light angle state matrix and the average value of standard light angle data set by each light combination as a first characteristic coefficient, taking the absolute value of the difference between the average value of all data corresponding to each collection time in the light intensity state matrix and the average value of standard light intensity data set by each light combination as a second characteristic coefficient, taking the sum of the first characteristic coefficient and the second characteristic coefficient as a numerator, and taking the average value of the accumulated results of the ratio of the numerator and the denominator at all collection times of each light combination as a stage light control difference coefficient of each light combination.
Preferably, the method for obtaining the local light angle state matrix and the local light intensity state matrix according to the stage light control state difference coefficient of each light combination at each collection time comprises the following steps:
taking the stage light control state difference coefficients of all the acquisition moments of each light combination as input, and acquiring clustering results of all the stage light control state difference coefficients by adopting a clustering algorithm;
For each cluster in the clustering result of all the stage light control state difference coefficients, taking a matrix formed by corresponding data in a lamplight angle state matrix at the acquisition time corresponding to all the stage light control state difference coefficients in the cluster as a local lamplight angle state matrix; and taking a matrix formed by data corresponding to the light intensity state matrix at the acquisition time corresponding to the stage light control state difference coefficient in the cluster as a local light intensity state matrix.
Preferably, the method for obtaining the lamplight deduction state difference pair according to the local lamplight angle state matrix and the local lamplight intensity state matrix comprises the following steps:
For each cluster in the clustering result of the stage lighting control state difference coefficient at all the collecting moments of each light combination, respectively taking the transposed matrix of the local lighting angle state matrix and the transposed matrix of the local lighting intensity state matrix corresponding to the cluster as inputs, respectively obtaining the variance expansion factors of the local lighting angle state matrix and the local lighting intensity state matrix of the cluster by adopting a variance expansion factor algorithm, taking the variance expansion factors as the light deduction linear change state difference values of the cluster, and taking the symbiotic pairs formed by all the light deduction linear change state difference values of the cluster as the light deduction state difference pairs of the cluster.
Preferably, the method for calculating the stage lighting deduction deviation coefficient of each lighting combination according to the lighting deduction state difference pair comprises the following steps:
In the method, in the process of the invention, Stage lighting deduction deviation coefficient representing light combination; /(I)And/>Respectively represent the/>Sum/>The average value of all elements in each cluster; /(I)And/>Respectively represent the/>Sum/>Light deduction state difference pair of clustering clusters,/>Representation/>And/>Dot product ratio between; /(I)And/>Respectively represent the/>Sum/>The number of elements in the cluster; /(I)Representing the number of clusters.
Preferably, the specific method for calculating the stage lighting deduction prediction window parameter of each lighting combination according to the stage lighting deduction deviation coefficient of each lighting combination comprises the following steps:
Taking a set formed by stage light deduction deviation coefficients of all light combinations as a stage light deduction deviation data set, calculating the average value of all elements in the stage light deduction deviation data set, taking the absolute value of the difference between the stage light deduction deviation coefficient of each light combination and the average value as a numerator, taking the maximum value of the stage light deduction deviation coefficient of each light combination and the average value as a denominator, taking the absolute value of the difference between the ratio of the numerator and the denominator and 1 as a first product factor, taking the number of acquisition moments in the data acquisition process of each light combination as a second product factor, and taking the upward rounding result of the sum of the first product factor and the second product factor and 5 as the stage light deduction prediction window parameter of each light combination.
Preferably, the method for obtaining the lamplight angle state vector and the lamplight intensity state vector according to the stage lamplight deduction prediction window parameters of each lamplight combination comprises the following steps:
Taking the stage lighting deduction prediction window parameter, the lighting angle state matrix and the lighting intensity state matrix of each lighting combination as the input of a WMA algorithm, and obtaining the smoothed data of the lighting angle state matrix and the lighting intensity state matrix of each lighting combination; and respectively taking a matrix formed by the data of the smooth light angle state matrix and the smooth light intensity state matrix as a light angle state prediction matrix and a light intensity state prediction matrix, taking the average value of each row of data in the light angle state prediction matrix and the light intensity state prediction matrix as a light angle state value and a light intensity state value of each row of data, and respectively taking a vector formed by the light angle state value and the light intensity state value of each row of data in the light angle state prediction matrix and the light intensity state prediction matrix according to the sequence of each row of data from top to bottom as a light angle state vector and a light intensity state vector.
Preferably, the method for adaptively adjusting and controlling parameters of each light combination according to the light angle state vector and the light intensity state vector comprises the following steps:
Taking vectors formed by standard light angle data and standard light intensity data corresponding to all lights in each light combination as standard angle state vectors and standard intensity state vectors; taking the measurement result of the similarity of the light angle state vector corresponding to each light combination and the standard angle state vector as a light angle difference characteristic value, taking the measurement result of the similarity of the light intensity state vector corresponding to each light combination and the standard intensity state vector as a light intensity difference characteristic value, and taking the average value of the light angle difference characteristic value and the light intensity difference characteristic value as a light control deviation signal value;
And sending a stage lighting parameter adjustment signal to a stage lighting control system according to the comparison result of the lighting control deviation signal value of each lighting combination and the preset stage lighting effect deviation threshold value, and carrying out self-adaptive adjustment on the lighting angle and the lighting light intensity of each lighting combination according to the received signals by the stage lighting control system.
In a second aspect, an embodiment of the present application further provides a stage lighting intelligent control system, including a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor implements the steps of any one of the methods described above when executing the computer program.
The beneficial effects of the application are as follows: considering the situation that the angle data and the light ray intensity of the light in the light combination of different time periods in the stage deduction process are possibly influenced by environmental factors to generate deviation, calculating a stage light control state difference coefficient by analyzing the degree of deviation generated by the control states of the light angle data and the light ray intensity data of different acquisition moments in the actual deduction process of each light combination, carrying out clustering division on the data of different acquisition moments of each light combination based on the stage light control state difference coefficient, calculating a stage light deduction deviation coefficient by using the linear state change characteristic difference represented by the clustering division result, reflecting the deviation degree of the stage light actual deduction caused by the local state control difference in the irradiation process of the light combination by using the stage light deduction deviation coefficient, and determining a data smoothing window in the stage light control process based on the stage light deduction deviation coefficient.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic flow chart of a stage lighting intelligent control method according to an embodiment of the application;
FIG. 2 is a schematic diagram of clustering results of all stage lighting control status difference coefficients according to an embodiment of the present application;
fig. 3 is a schematic diagram of a smoothed result of one row of data in a light angle state matrix according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, a flowchart of a stage lighting intelligent control method according to an embodiment of the application is shown, and the method includes the following steps:
and S001, acquiring a lamplight angle data sequence and a lamplight intensity data sequence.
Installing an inclination sensor and an illuminometer at each lamplight position on the built stage, respectively acquiring lamplight angle data and lamplight brightness data in the working process of each lamplight, wherein the specific inclination sensor and model of the illuminometer can be selected according to actual conditions, and the time interval of the acquisition data of the inclination sensor and the illuminometer installed on each lamp on the stage is as followsThe time length of data collection is the time length of the light irradiation condition maintenance set in each step (the size is checked to be 0.1 s), specifically, for example, one stage light needs to be subjected to transformation of angle and light intensity for 3 times in the whole stage performance process, the time length of the front light state maintenance of each transformation is 20s, 50s and 2min, and the time length of the data collection of each transformation is 20s, 50s and 2min respectively.
Further, the sequence formed by the light angle data and the light intensity data collected under each conversion state at each stage light position according to the time ascending sequence is used as a light angle data sequence and a light intensity data sequence.
Thus, a lamplight angle data sequence and a lamplight intensity data sequence are obtained.
Step S002, respectively constructing a lamplight angle state matrix and a lamplight intensity state matrix according to the lamplight angle data sequence and the lamplight intensity data sequence; and calculating a stage lighting control state difference coefficient according to the light angle state matrix and the light intensity state matrix.
The light intensity and the light color temperature on the stage are affected by a plurality of environmental factors, including natural light, surrounding buildings and structures, weather conditions, time factors, artificial lighting, surrounding environment colors and light mixing, specifically, for example, smoke is sprayed for creating atmosphere in the stage performance process, the light intensity on the stage is affected by the smoke, and the actual light intensity is far lower than the light intensity emitted by the stage light. Meanwhile, when the stage light is rotated under the influence of the stage building quality, the rotating angle may deviate from the set angle, even the abnormal control condition of the stage light angle change occurs, and if the monitoring error of the abnormal state of the light control is larger, the stage light with abnormal control is delayed to cause stage accidents.
Furthermore, in the whole stage performance process, automatic control on stage lighting is realized, but the control accuracy directly influences the effect of the whole stage performance. In the whole stage performance process, the stage lighting effect of each state is completed by different combinations of lights, so that the actual monitoring data of the corresponding light combination of each state is analyzed, and the control deviation and the use effect deviation in the actual stage lighting use process are obtained according to the analysis result. Specifically, the maintenance time of the light combinations corresponding to the stage lighting effect in each state is the same, and analysis is performed by taking the monitoring data collected by one of the light combinations as an example, wherein the number of lights in the light combinations is as follows(Size checked value 20), the light angle data sequence of each light in the light combination is used as one row of data in the matrix, and the matrix formed by the light angle data sequences of all lights in the light combination is used as the light angle state matrix/>; Taking the light intensity data sequence of each light in the light combination as one row of data of a matrix, and taking the matrix formed by the light intensity data sequences of all lights in the light combination as a light intensity state matrix/>。
Further, at each collection time, a set of data corresponding to all lights in the light combination, for example, at the first collection time, the light angle data and the light intensity data corresponding to all lights are respectivelyFirst column data sum/>The first column data of (1) is input as/>Data of each row in the database is obtained by adopting LOF (Local Outiler Factor) algorithmThe LOF value of each element in each row of data in (1) will/>The vector formed by LOF values corresponding to each column of data is used as a lamplight angle state characteristic vector; input is/>In (2) using LOF algorithm to obtain/>The LOF value of each element in each row of data in (1) will/>The specific calculation process of the LOF algorithm is a known technology, and no detailed description is given.
Further, a stage light control state difference coefficient is calculated according to the difference of state data between different collecting moments, the degree of control deviation of the lamp light combination at different collecting moments is reflected by the stage light control state difference coefficient, and a specific calculation formula is as follows:
In the method, in the process of the invention, Indicating that the lamp light is combined at the first/>Stage lighting control state difference coefficient at each acquisition moment,/>And/>Respectively show that the lamp light is combined in the first/>Sum/>Lamplight angle state characteristic vector corresponding to each acquisition moment,/>Representation/>And/>Cosine similarity between them; /(I)And/>Respectively show that the lamp light is combined in the first/>Sum/>Light intensity state characteristic vector corresponding to each acquisition moment,/>Representation/>And/>Cosine similarity between them; /(I)And/>In the light angle state matrix and the light intensity state matrix respectively representing the light combinationCollection of all data components corresponding to each acquisition time,/>And/>Respectively express/>And/>The average value of all elements in the list; /(I)And/>The average value of the standard light angle data and the light intensity data set by the light combination is represented; /(I)And the number of the corresponding acquisition moments in the light combination data acquisition process is represented.
If the light is combined in the firstSum/>The abnormal state difference of the light angle data and the light intensity data of different lights between the acquisition moments is larger, and the calculated/>The smaller the value of (2), while relative to the standard light control parameter, the/>The deviation degree of the light angle data and the light intensity data at each acquisition time is larger, and the calculated first characteristic coefficient/>And a second characteristic coefficient/>The larger the sum value is, the calculated light is combined in the first/>Stage lighting control state difference coefficient/>, at each acquisition momentThe larger the value of (2) is, the more/>The greater the likelihood that the collected light control states of the individual collection moments will differ from the other collection moments.
So far, the stage lighting control state difference coefficient is obtained.
Step S003, calculating a stage light deduction deviation coefficient according to the stage light control state difference coefficient; and obtaining stage light deduction prediction window parameters according to the stage light deduction deviation coefficient.
Because the state characteristics of the light combination at different acquisition moments can deviate under the same light effect, clustering characteristic analysis is carried out according to the characteristics of the deviation, and local state linear variation differences in the control process of the light combination are obtained through the clustering characteristic analysis; specifically, the input is the stage light control state difference coefficient at all the acquisition time, a condensation hierarchical clustering algorithm is adopted to obtain clustering results of all the stage light control state difference coefficients, a specific clustering result is shown in fig. 2, and a specific calculation process of the condensation hierarchical clustering algorithm is a known technology and will not be described in detail.
For each cluster in the clustering result of all the stage light control state difference coefficients, the acquisition time corresponding to all the stage light control state difference coefficients in the cluster is in a light angle state matrixThe matrix formed by the corresponding data is used as a local lamplight angle state matrix; collecting moments corresponding to all stage lighting control state difference coefficients in the cluster at a lamplight intensity state matrix/>The matrix formed by the corresponding data is used as a local light intensity state matrix; specifically, for example, the difference coefficients of the light control states of all stage lamps in the cluster are the 4 th, 5 th, 6 th, 8 th, 12 th and 14 th acquisition moments, each column of data corresponding to each acquisition moment in the 4 th, 5 th, 6 th, 8 th, 12 th and 14 th acquisition moments in the light angle state matrix is used as a column element in the matrix, and the matrix formed by the 4 th, 5 th, 6 th, 8 th, 12 th and 14 th acquisition moments corresponding to all columns of data in the light angle state matrix is used as a local light angle state matrix of the cluster; and taking each column of data corresponding to each acquisition time in the 4 th, 5 th, 6 th, 8 th, 12 th and 14 th acquisition times in the light intensity state matrix as a column of elements in the matrix, and taking a matrix formed by all columns of data corresponding to the 4 th, 5 th, 6 th, 8 th, 12 th and 14 th acquisition times in the light intensity state matrix as a local light intensity state matrix of the cluster.
Further, for each cluster in the clustering result of the light control state difference coefficient of all the stage lamps, respectively taking the transposed matrix of the local light angle state matrix and the transposed matrix of the local light intensity state matrix corresponding to the cluster as inputs, respectively obtaining the variance expansion factors of the local light angle state matrix and the local light intensity state matrix of each cluster by adopting a variance expansion factor algorithm, and respectively taking the variance expansion factors as the light deduction linear change state difference value of each clusterAnd/>Will/>And/>Symbiotic pair/>, of compositionsLight deduction state difference pair as each cluster/>The specific calculation process of the variance expansion factor algorithm is a known technology, and will not be described in detail. According to the light deduction linear change state difference value of each cluster in the clustering results of all the stage light control state difference coefficients corresponding to the light combination, calculating a stage light deduction deviation coefficient, wherein a specific calculation formula is as follows:
In the method, in the process of the invention, Stage lighting deduction deviation coefficient representing light combination; /(I)And/>Respectively represent the/>Sum/>The average value of all elements in each cluster; /(I)And/>Respectively represent the/>Sum/>Light deduction state difference pair of clustering clusters,/>Representation/>And/>Dot product ratio between; /(I)And/>Respectively represent the/>Sum/>The number of elements in the cluster; /(I)Representing the number of clusters.
If the clustering result of the difference coefficients of the light control states of all the stage lights of the light combination is the firstSum/>The larger the linear characteristic difference between the light angle data and the light intensity data among the clustering clusters at different acquisition moments is, the calculated/>The larger the value of (C), while at the same time the (H) >Sum/>The larger the difference of the stage lighting control state differences reflected among the clustering clusters is, the calculated/>The larger the value of (2), and the/>Sum/>The number of elements used for comparison of the cluster clusters is close, and the calculated/>The larger the value of (2), namely the calculated stage lighting deduction deviation coefficient/>, of the light combinationThe larger the value of (c) is, the greater the possibility that the actual lighting effect is lower when the lighting combination is used for lighting irradiation is indicated by the comparison of the linear characteristic of the local lighting angle and the lighting intensity data and the difference of the control state characteristic.
Further, the degree of possible deviation of the angle data and the light intensity data of the light in the light combination irradiation process is reflected through the stage light deduction deviation coefficient of the light combination, if the stage light deduction deviation coefficient of the light combination is larger, the possibility that the light irradiation effect is lower in the light combination irradiation process is larger, and if the stage light deduction deviation coefficient of the light combination is smaller, the possibility that the light irradiation effect is lower in the light combination irradiation process is smaller.
Further, a set of stage lighting deduction deviation coefficients of all the lighting combinations is used as a stage lighting deduction deviation data setBy analyzing the situation that different light combinations have actual illumination effect differences, stage light deduction prediction window parameters of light angle data and light intensity data in the illumination process of each light combination are calculated, and a specific calculation formula is as follows:
In the method, in the process of the invention, Represents the/>Stage lighting deduction prediction window parameters of individual lighting combinations; /(I)Represents the/>Stage lighting deduction deviation coefficients of the individual lighting combinations; /(I)Representing a set of stage lighting deduction deviation data,/>Representation/>The average value of all elements in the list; /(I)Representation/>And/>A maximum value therebetween; /(I)Represents the/>The number of the corresponding acquisition moments in the individual light combination data acquisition process; /(I)Representing a round-up function.
If the data collected in the stage deduction process is analyzedThe more remarkable the actual illumination effect difference occurs between the individual light combinations relative to other light combinations, the calculated/>The greater the value of (i.e.)The smaller the value of (2), the calculated/>Stage lighting deduction prediction window parameter of individual lighting combinationThe smaller the value of (C) is, the more the pair isWhen the light angle and light intensity data of the individual light combination are predicted and analyzed, the stage light deduction prediction window parameters should select smaller values to highlight local parameter differences, so that the accuracy of stage light control monitoring is improved.
Thus, stage lighting deduction prediction window parameters are obtained.
Step S004, a lamplight angle state vector and a lamplight intensity state vector are obtained based on the stage lamplight deduction prediction window parameters, and the stage lamplight parameters are intelligently controlled according to the lamplight angle state vector and the lamplight intensity state vector.
Taking stage light deduction prediction window parameters, a light angle state matrix and a light intensity state matrix of each light combination as inputs of WMA (Weighted Moving Average) algorithm, respectively obtaining smoothed data of the light angle state matrix and the light intensity state matrix of each light combination, and specifically, a smoothed result schematic diagram of one line of data in the light angle state matrix is shown in fig. 3; taking a matrix formed by the data of the smooth light angle state matrix and the smooth light intensity state matrix as a light angle state prediction matrix and a light intensity state prediction matrix, taking the average value of each row of data in the light angle state prediction matrix and the light intensity state prediction matrix as a light angle state value and a light intensity state value of each row of data, and taking a vector formed by the light angle state value and the light intensity state value of each row of data in the light angle state prediction matrix and the light intensity state prediction matrix according to the sequence of each row of data from top to bottom as a light angle state vector and a light intensity state vector; the specific calculation process of the WMA algorithm is a well-known technology and will not be described in detail.
Further, vectors formed by standard light angle data and standard light intensity data corresponding to all lights in each light combination are respectively used as standard angle state vectors and standard intensity state vectors, calculation results of cosine similarity of the light angle state vectors corresponding to each light combination and the standard angle state vectors are used as light angle difference characteristic values, calculation results of cosine similarity of the light intensity state vectors corresponding to each light combination and the standard intensity state vectors are used as light intensity difference characteristic values, the average value of the light angle difference characteristic values and the light intensity difference characteristic values is used as a light control deviation signal value, a stage light effect deviation threshold value is set to be 0.8, stage light parameter adjustment signals are sent to a stage light control system if the light control deviation signal value is smaller than 0.8, and the stage light control system carries out self-adaption adjustment on the light angle and the light intensity of each light combination according to the received signals; if the light control deviation signal value is larger than 0.8, the control data of the stage light are normal, and adjustment is not needed.
Thus, the intelligent control of stage lighting is completed.
Based on the same inventive concept as the above method, the embodiment of the application also provides a stage lighting intelligent control system, which comprises a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to realize the steps of any one of the stage lighting intelligent control methods.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. The above description is only of the preferred embodiments of the present application and is not intended to limit the application, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present application should be included in the scope of the present application.
Claims (10)
1. The intelligent stage lighting control method is characterized by comprising the following steps of:
Acquiring a lamplight angle data sequence and a lamplight intensity data sequence;
Respectively constructing a lamplight angle state matrix and a lamplight intensity state matrix of each lamplight combination according to the lamplight angle data sequence and the lamplight intensity data sequence; calculating a stage light control state difference coefficient of each light combination at each acquisition time according to the state difference of data in the light angle state matrix and the light intensity state matrix of each light combination; obtaining a local lamplight angle state matrix and a local lamplight intensity state matrix according to the stage lighting control state difference coefficient of each lamplight combination at each acquisition time;
obtaining a lamplight deduction state difference pair according to the local lamplight angle state matrix and the local lamplight intensity state matrix; calculating stage lighting deduction deviation coefficients of each lighting combination according to the lighting deduction state difference pair; calculating stage light deduction prediction window parameters of each light combination according to the stage light deduction deviation coefficient of each light combination; obtaining a lamplight angle state vector and a lamplight intensity state vector according to stage lamplight deduction prediction window parameters of each lamplight combination;
And carrying out self-adaptive adjustment control on parameters of each light combination according to the light angle state vector and the light intensity state vector.
2. The intelligent stage lighting control method according to claim 1, wherein the method for respectively constructing a lighting angle state matrix and a lighting intensity state matrix of each lighting combination according to the lighting angle data sequence and the lighting intensity data sequence comprises the following steps:
Taking the light angle data sequence of each light in each light combination as one row of data in a matrix, and taking the matrix formed by the light angle data sequences of all lights in each light combination as a light angle state matrix of each light combination; taking the light intensity data sequence of each light in each light combination as one row of data of a matrix, and taking the matrix formed by the light intensity data sequences of all lights in each light combination as the light intensity state matrix of each light combination.
3. The intelligent stage lighting control method according to claim 1, wherein the method for calculating the stage lighting control state difference coefficient of each lighting combination at each collection time according to the state difference of the data in the lighting angle state matrix and the lighting intensity state matrix of each lighting combination is as follows:
for the light angle state matrix and the light intensity state matrix of each light combination, respectively taking each column of data in the light angle state matrix and the light intensity state matrix as the input of an LOF algorithm, acquiring the LOF value of each column of data in the light angle state matrix and the light intensity state matrix, and respectively taking a sequence formed by the LOF values of each column of data in the light angle state matrix and the light intensity state matrix as a light angle state feature vector and a light intensity state feature vector corresponding to each acquisition time;
For each collection time of each light combination, taking the sum of the similarity measurement result of the light angle state characteristic vector and the similarity measurement result of the light intensity state characteristic vector of each collection time and other collection time and 0.01 as a denominator, taking the absolute value of the difference between the average value of all data corresponding to each collection time in the light angle state matrix and the average value of standard light angle data set by each light combination as a first characteristic coefficient, taking the absolute value of the difference between the average value of all data corresponding to each collection time in the light intensity state matrix and the average value of standard light intensity data set by each light combination as a second characteristic coefficient, taking the sum of the first characteristic coefficient and the second characteristic coefficient as a numerator, and taking the average value of the accumulated results of the ratio of the numerator and the denominator at all collection times of each light combination as a stage light control difference coefficient of each light combination.
4. The intelligent stage lighting control method according to claim 1, wherein the method for obtaining the local lighting angle state matrix and the local lighting intensity state matrix according to the stage lighting control state difference coefficient of each lighting combination at each collection time is as follows:
taking the stage light control state difference coefficients of all the acquisition moments of each light combination as input, and acquiring clustering results of all the stage light control state difference coefficients by adopting a clustering algorithm;
For each cluster in the clustering result of all the stage light control state difference coefficients, taking a matrix formed by corresponding data in a lamplight angle state matrix at the acquisition time corresponding to all the stage light control state difference coefficients in the cluster as a local lamplight angle state matrix; and taking a matrix formed by data corresponding to the light intensity state matrix at the acquisition time corresponding to the stage light control state difference coefficient in the cluster as a local light intensity state matrix.
5. The intelligent stage lighting control method according to claim 1, wherein the method for obtaining the light deduction state difference pair according to the local light angle state matrix and the local light intensity state matrix comprises the following steps:
For each cluster in the clustering result of the stage lighting control state difference coefficient at all the collecting moments of each light combination, respectively taking the transposed matrix of the local lighting angle state matrix and the transposed matrix of the local lighting intensity state matrix corresponding to the cluster as inputs, respectively obtaining the variance expansion factors of the local lighting angle state matrix and the local lighting intensity state matrix of the cluster by adopting a variance expansion factor algorithm, taking the variance expansion factors as the light deduction linear change state difference values of the cluster, and taking the symbiotic pairs formed by all the light deduction linear change state difference values of the cluster as the light deduction state difference pairs of the cluster.
6. The intelligent stage lighting control method according to claim 1, wherein the method for calculating stage lighting deduction deviation coefficient of each lighting combination according to the lighting deduction state difference pair is as follows:
In the method, in the process of the invention, Stage lighting deduction deviation coefficient representing light combination; /(I)And/>Respectively represent the/>Sum/>The average value of all elements in each cluster; /(I)And/>Respectively represent the/>Sum/>The light deduction state difference pairs of the clusters,Representation/>And/>Dot product ratio between; /(I)And/>Respectively represent the/>Sum/>The number of elements in the cluster; /(I)Representing the number of clusters.
7. The intelligent stage lighting control method according to claim 1, wherein the specific method for calculating stage lighting deduction prediction window parameters of each lighting combination according to stage lighting deduction deviation coefficients of each lighting combination is as follows:
Taking a set formed by stage light deduction deviation coefficients of all light combinations as a stage light deduction deviation data set, calculating the average value of all elements in the stage light deduction deviation data set, taking the absolute value of the difference between the stage light deduction deviation coefficient of each light combination and the average value as a numerator, taking the maximum value of the stage light deduction deviation coefficient of each light combination and the average value as a denominator, taking the absolute value of the difference between the ratio of the numerator and the denominator and 1 as a first product factor, taking the number of acquisition moments in the data acquisition process of each light combination as a second product factor, and taking the upward rounding result of the sum of the first product factor and the second product factor and 5 as the stage light deduction prediction window parameter of each light combination.
8. The intelligent stage lighting control method according to claim 1, wherein the method for obtaining the lighting angle state vector and the lighting intensity state vector according to the stage lighting deduction prediction window parameters of each lighting combination comprises the following steps:
Taking the stage lighting deduction prediction window parameter, the lighting angle state matrix and the lighting intensity state matrix of each lighting combination as the input of a WMA algorithm, and obtaining the smoothed data of the lighting angle state matrix and the lighting intensity state matrix of each lighting combination; and respectively taking a matrix formed by the data of the smooth light angle state matrix and the smooth light intensity state matrix as a light angle state prediction matrix and a light intensity state prediction matrix, taking the average value of each row of data in the light angle state prediction matrix and the light intensity state prediction matrix as a light angle state value and a light intensity state value of each row of data, and respectively taking a vector formed by the light angle state value and the light intensity state value of each row of data in the light angle state prediction matrix and the light intensity state prediction matrix according to the sequence of each row of data from top to bottom as a light angle state vector and a light intensity state vector.
9. The intelligent stage lighting control method according to claim 1, wherein the method for adaptively adjusting and controlling parameters of each lighting combination according to the lighting angle state vector and the lighting intensity state vector comprises the following steps:
Taking vectors formed by standard light angle data and standard light intensity data corresponding to all lights in each light combination as standard angle state vectors and standard intensity state vectors; taking the measurement result of the similarity of the light angle state vector corresponding to each light combination and the standard angle state vector as a light angle difference characteristic value, taking the measurement result of the similarity of the light intensity state vector corresponding to each light combination and the standard intensity state vector as a light intensity difference characteristic value, and taking the average value of the light angle difference characteristic value and the light intensity difference characteristic value as a light control deviation signal value;
And sending a stage lighting parameter adjustment signal to a stage lighting control system according to the comparison result of the lighting control deviation signal value of each lighting combination and the preset stage lighting effect deviation threshold value, and carrying out self-adaptive adjustment on the lighting angle and the lighting light intensity of each lighting combination according to the received signals by the stage lighting control system.
10. A stage light intelligent control system comprising a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor, when executing the computer program, implements the steps of a stage light intelligent control method according to any one of claims 1-9.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140013740A (en) * | 2012-07-26 | 2014-02-05 | 주식회사 컬텍 | An adaptive stage lighting system |
| CN105208720A (en) * | 2015-09-07 | 2015-12-30 | 浙江大丰实业股份有限公司 | Stage light adjusting device |
| US20170046948A1 (en) * | 2015-08-11 | 2017-02-16 | Zhejiang Dafeng Industry Co., Ltd. | Wireless drive based stage sound and light coordinated operation system |
| WO2018000860A1 (en) * | 2016-06-30 | 2018-01-04 | 广州市浩洋电子股份有限公司 | Temperature adaptive control system and control method for led stage lamp |
| CN110169205A (en) * | 2017-01-13 | 2019-08-23 | 路晟（上海）科技有限公司 | Intelligent light control system and method |
| US20200229287A1 (en) * | 2017-09-30 | 2020-07-16 | Guangzhou Haoyang Electronic Co., Ltd. | Automatic Stage Lighting Tracking System And a Control Method Therefor |
| US20220343591A1 (en) * | 2021-04-23 | 2022-10-27 | Lucasfilm Enterntainment Company Ltd. | Color and lighting adjustment for immersive content production system |
| CN116257015A (en) * | 2023-03-22 | 2023-06-13 | 杭州亿达时科技发展有限公司 | Stage light following lamp intelligent control system based on big data |
| CN117425247A (en) * | 2023-11-01 | 2024-01-19 | 广州爱宇森照明科技有限公司 | Remote stage lighting control system |
-
2024
- 2024-03-21 CN CN202410324713.7A patent/CN117939760B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140013740A (en) * | 2012-07-26 | 2014-02-05 | 주식회사 컬텍 | An adaptive stage lighting system |
| US20170046948A1 (en) * | 2015-08-11 | 2017-02-16 | Zhejiang Dafeng Industry Co., Ltd. | Wireless drive based stage sound and light coordinated operation system |
| CN105208720A (en) * | 2015-09-07 | 2015-12-30 | 浙江大丰实业股份有限公司 | Stage light adjusting device |
| WO2018000860A1 (en) * | 2016-06-30 | 2018-01-04 | 广州市浩洋电子股份有限公司 | Temperature adaptive control system and control method for led stage lamp |
| CN110169205A (en) * | 2017-01-13 | 2019-08-23 | 路晟（上海）科技有限公司 | Intelligent light control system and method |
| US20200229287A1 (en) * | 2017-09-30 | 2020-07-16 | Guangzhou Haoyang Electronic Co., Ltd. | Automatic Stage Lighting Tracking System And a Control Method Therefor |
| US20220343591A1 (en) * | 2021-04-23 | 2022-10-27 | Lucasfilm Enterntainment Company Ltd. | Color and lighting adjustment for immersive content production system |
| CN116257015A (en) * | 2023-03-22 | 2023-06-13 | 杭州亿达时科技发展有限公司 | Stage light following lamp intelligent control system based on big data |
| CN117425247A (en) * | 2023-11-01 | 2024-01-19 | 广州爱宇森照明科技有限公司 | Remote stage lighting control system |
Non-Patent Citations (3)
| Title |
|---|
| MYRTEL S. BERNARDO等: "DLI and PPFD throughput of Solar and AI-based Smart Lighting Apply on Illumination Stratums", 《IEEE》, 15 February 2024 (2024-02-15) * |
| 李钊海;: "浅议舞台灯光控制系统的设计", 科技与企业, no. 03, 6 February 2015 (2015-02-06) * |
| 陈佳洲;曾碧;何元烈;: "基于模糊控制的LED舞台灯自适应调节系统", 计算机应用与软件, no. 04, 15 April 2016 (2016-04-15) * |
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