Program production and editing big data analysis comprehensive management system

Abstract

The invention discloses a program production and editing big data analysis comprehensive management system, which relates to the technical field of program editing and comprises a field environment information acquisition module, a sound track calculation module and a definition detection module. According to the automatic monitoring system for the multi-fog program meeting place, historical audio interference habit data and transmission sound channel information can be acquired through the field environment information acquisition module and the sound track calculation module, so that track change prediction of sound passing through a multi-sound-channel field in the multi-sound-channel field is calculated; the track marks of the multiple sounds are fused in the same background image, and alarm reminding is performed when the track marks of the multiple sounds coincide, so that the probability of accidents of the sounds on a multi-sound-channel site can be reduced; and meanwhile, through an on-site environment information acquisition module, an environment information acquisition module, a definition detection module, a definition change prediction module and a data adjustment module, the definition change in the multi-channel site can be predicted.

Description

Technical Field

[0001] The present invention relates to the technical field of program editing, and in particular to a comprehensive management system for program production and editing big data analysis. Background Art

[0002] With the rapid development of video technology, the program production system in the field of radio and television is becoming increasingly large. Although some program production systems have achieved partial integrated management, in many cases this management is limited to the management of local program processes, and has not achieved the integrated management of the entire program production of the entire TV station. It cannot meet the personalized needs of the TV station's business functions, let alone realize the TV station's "parallel collaboration and efficient production" program production process.

[0003] The existing program production and editing management system is currently in use, and the clarity of the sound will be reduced due to different on-site environments. During the transmission of sound in a multi-track and multi-channel program venue, if the multi-track and multi-channel interference causes low clarity, it is very necessary to monitor and alarm in the multi-track and multi-channel program venue. Summary of the invention

[0004] The purpose of the present invention is to provide a program production and editing big data analysis and comprehensive management system to solve the above-mentioned deficiencies in the prior art.

[0005] In order to achieve the above-mentioned purpose, the present invention provides the following technical solutions: a program production and editing big data analysis and integrated management system, including a scene environment information collection module, a sound track calculation module, a clarity detection module, an environment information collection module, a clarity change prediction module, and a data adjustment module:

[0006] The on-site environment information acquisition module is used to capture on-site environment information and sound information passing through the multi-channel scene based on a camera module set up at the program venue, wherein the on-site environment information includes personnel distribution information, sound transmission speed information, and audio interference habits;

[0007] The sound track calculation module is used to simulate the sound track of the sound passing through the multi-channel scene based on the scene environment information collected by the scene environment information collection module;

[0008] The clarity detection module is used to detect the clarity of the multi-channel scene based on the clarity detection model and the sound information collected by the scene environment information collection module;

[0009] The environmental information acquisition module is used to measure the environmental climate data of the program venue in real time based on the environmental climate acquisition instrument, and the environmental climate data includes the air humidity within the program venue, the ambient temperature within the program venue, the light intensity within the program venue, and the air pressure within the program venue;

[0010] The clarity change prediction module is used to predict the clarity change of the multi-channel scene based on the clarity of the multi-channel scene detected by the clarity detection module and the environmental climate data collected by the environmental information collection module;

[0011] The data adjustment module is used to compare the clarity information of the multi-channel scene detected by the clarity detection module with the clarity change value of the multi-channel scene predicted by the clarity change prediction module, and to adjust the clarity change prediction value of the multi-channel scene whose comparison result error exceeds a preset threshold by adjusting the clarity change prediction model parameters.

[0012] Furthermore, the scene environment information collection module collects audio interference habits, specifically including the following steps:

[0013] A1, collect historical sound channel monitoring information, by collecting historical sound channel monitoring information, the transmission data of the sound during the transmission process can be obtained;

[0014] A2, collect historical speeding monitoring information, by collecting historical speeding monitoring information, the usual transmission speed of sound during transmission can be obtained;

[0015] A3, through the data integration model, the collected sound habit transmission speed and the collected historical transmission data are integrated to obtain the sound transmission habit.

[0016] Furthermore, the sound trajectory calculation module includes:

[0017] A sound information receiving module, the sound information receiving module is used to receive ground image information of the multi-fog section program venue collected by the on-site environment information collection module;

[0018] An image segmentation module, the image segmentation module is used to perform image segmentation on the ground image information received by the sound information receiving module based on an image segmentation model to obtain transmission channel information;

[0019] An audio interference habit receiving module, the audio interference habit receiving module is used to receive the audio interference habits collected by the on-site environment information collection module;

[0020] A data marking module, the data marking module is used to mark the track on the transmission channel information obtained by the picture segmentation module based on the audio interference habit received by the audio interference habit receiving module;

[0021] The data fusion module is used to fuse the track marks of multiple sounds and fuse the track marks of multiple sounds into the same background image.

[0022] Furthermore, the sound trajectory calculation module specifically includes the following steps:

[0023] B1, receiving ground image information of the multi-fog section program venue collected by the on-site environment information collection module through the sound information receiving module;

[0024] B2, performing image segmentation on the ground image information received by the sound information receiving module based on the image segmentation model by the image segmentation module to obtain transmission channel information;

[0025] B3, receiving the audio interference habits collected by the on-site environment information collection module through the audio interference habit receiving module;

[0026] B4, using a data marking module to mark a track on the transmission channel information obtained by the image segmentation module based on the audio interference habit received by the audio interference habit receiving module;

[0027] B5, the track marks of multiple sounds are fused through the data fusion module, the track marks of multiple sounds are fused into the same background image, and when the track marks of multiple sounds overlap, a start message is sent to the alarm reminder module.

[0028] Furthermore, the definition change prediction module includes:

[0029] A clarity information receiving module, the clarity information receiving module is used to receive the clarity information sent by the clarity detection module;

[0030] An environmental information receiving module, the environmental information receiving module is used to receive environmental climate data sent by the environmental information acquisition module;

[0031] A data segmentation module, the data segmentation module is used to segment the clarity information received by the clarity information receiving module, the data segmentation standard is based on the environmental climate data received by the environmental information receiving module, and the data related to the environmental climate data in the clarity information is segmented;

[0032] A data prediction module, the data prediction module is used to predict changes in the clarity information related to the environmental climate data based on the clarity information related to the environmental climate data segmented by the data segmentation module and the environmental climate data received by the environmental information receiving module;

[0033] The data integration module is used to perform data fusion based on the prediction results obtained by the data prediction module and the remaining data segmented by the data segmentation module, so as to obtain the clarity change prediction results.

[0034] Furthermore, it also includes

[0035] An information prompt module, the information prompt module is used to send a prompt message when the clarity change prediction result shows that the clarity is further reduced;

[0036] An alarm reminder module is used to issue an alarm reminder when the trajectory marks of multiple sounds overlap.

[0037] Compared with the prior art, the present invention provides a comprehensive management system for big data analysis of program production and editing. Through the on-site environment information collection module and the sound trajectory calculation module, historical audio interference habit data and transmission channel information can be collected, thereby realizing the calculation of the trajectory change prediction of the sound passing through the multi-channel scene in the multi-channel scene. By integrating the trajectory marks of multiple sounds into the same background image and issuing an alarm when the trajectory marks of multiple sounds overlap, the probability of sound accidents in the multi-channel scene can be reduced. At the same time, through the on-site environment information collection module, the environmental information collection module, the clarity detection module, the clarity change prediction module and the data adjustment module, the prediction of clarity changes in the multi-channel scene can be realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0039] Figure 1 A system structure block diagram provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0041] See also Figure 1 , a program production and editing big data analysis and integrated management system, including a scene environment information collection module, a sound track calculation module, a clarity detection module, an environment information collection module, a clarity change prediction module, and a data adjustment module:

[0042] The on-site environment information acquisition module is used to capture on-site environment information and sound information passing through the multi-channel scene based on the camera module set up at the program venue. The on-site environment information includes personnel distribution information, sound transmission speed information, and audio interference habits;

[0043] The sound track calculation module is used to simulate the sound track of the sound passing through the multi-channel scene based on the scene environment information collected by the scene environment information collection module;

[0044] The clarity detection module is used to detect the clarity of the multi-channel scene based on the clarity detection model and the sound information collected by the scene environment information collection module;

[0045] The environmental information collection module is used to measure the environmental climate data of the program venue in real time based on the environmental climate collection instrument. The environmental climate data includes the air humidity within the program venue, the ambient temperature within the program venue, the light intensity within the program venue, and the air pressure within the program venue;

[0046] The clarity change prediction module is used to predict the clarity change of the multi-channel scene based on the clarity of the multi-channel scene detected by the clarity detection module and the environmental climate data collected by the environmental information collection module;

[0047] The data adjustment module is used to compare the clarity information of the multi-channel scene detected by the clarity detection module with the clarity change value of the multi-channel scene predicted by the clarity change prediction module, and to adjust the clarity change prediction value of the multi-channel scene whose comparison result error exceeds a preset threshold by adjusting the clarity change prediction model parameters;

[0048] An information prompt module, which is used to send a prompt message when the clarity change prediction result shows that the clarity is further reduced;

[0049] The alarm reminder module is used to issue an alarm reminder when the trajectory marks of multiple sounds overlap.

[0050] The present invention is arranged in this way, through the on-site environmental information collection module and the sound trajectory calculation module, it can collect historical audio interference habit data and transmit channel information, so as to realize the calculation of the trajectory change prediction of the sound passing through the multi-channel scene in the multi-channel scene, and by integrating the trajectory marks of multiple sounds into the same background image, an alarm reminder is issued when the trajectory marks of multiple sounds overlap, which can reduce the probability of sound accidents in the multi-channel scene. At the same time, through the on-site environmental information collection module, the environmental information collection module, the clarity detection module, the clarity change prediction module and the data adjustment module, the prediction of clarity changes in the multi-channel scene can be realized, and when the clarity change prediction result shows that the clarity is further reduced, a prompt message is sent to the information prompt module.

[0051] The on-site environment information collection module collects audio interference habits, including the following steps:

[0052] A1, collect historical sound channel monitoring information, by collecting historical sound channel monitoring information, the transmission data of the sound during the transmission process can be obtained;

[0053] A2, collect historical speeding monitoring information, by collecting historical speeding monitoring information, the usual transmission speed of sound during transmission can be obtained;

[0054] A3, through the data integration model, the collected sound habit transmission speed and the collected historical transmission data are integrated to obtain the sound transmission habit.

[0055] The sound track calculation module includes:

[0056] A sound information receiving module, the sound information receiving module is used to receive ground image information of the multi-fog section program venue collected by the on-site environment information collection module;

[0057] An image segmentation module, which is used to perform image segmentation on the ground image information received by the sound information receiving module based on the image segmentation model to obtain transmission channel information;

[0058] An audio interference habit receiving module, which is used to receive the audio interference habits collected by the on-site environment information collection module;

[0059] A data marking module, the data marking module is used to mark the track on the transmission channel information obtained by the picture segmentation module based on the audio interference habit received by the audio interference habit receiving module;

[0060] The data fusion module is used to fuse the trajectory marks of multiple sounds and fuse the trajectory marks of multiple sounds into the same background image.

[0061] The sound track calculation module specifically includes the following steps:

[0062] B1, receiving ground image information of the multi-fog section program venue collected by the on-site environment information collection module through the sound information receiving module;

[0063] B2, performing image segmentation on the ground image information received by the sound information receiving module based on the image segmentation model through the image segmentation module to obtain the transmission channel information;

[0064] B3, receiving the audio interference habits collected by the on-site environment information collection module through the audio interference habit receiving module;

[0065] B4, using a data marking module to mark a track on the transmission channel information obtained by the image segmentation module based on the audio interference habit received by the audio interference habit receiving module;

[0066] B5, the track marks of multiple sounds are fused through the data fusion module, the track marks of multiple sounds are fused into the same background image, and when the track marks of multiple sounds overlap, a start message is sent to the alarm reminder module.

[0067] The clarity change prediction module includes:

[0068] A clarity information receiving module, the clarity information receiving module is used to receive the clarity information sent by the clarity detection module;

[0069] An environmental information receiving module, which is used to receive environmental climate data sent by the environmental information acquisition module;

[0070] A data segmentation module, the data segmentation module is used to segment the clarity information received by the clarity information receiving module, the data segmentation standard is based on the environmental climate data received by the environmental information receiving module, and the data related to the environmental climate data in the clarity information is segmented;

[0071] A data prediction module, the data prediction module is used to predict changes in the clarity information related to the environmental climate data based on the clarity information related to the environmental climate data segmented by the data segmentation module and the environmental climate data received by the environmental information receiving module;

[0072] The data integration module is used to perform data fusion based on the prediction results obtained by the data prediction module and the remaining data segmented by the data segmentation module, so as to obtain the clarity change prediction results.

[0073] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A comprehensive management system for big data analysis of program production and editing, characterized by: It includes on-site environment information collection module, sound trajectory calculation module, clarity detection module, environment information collection module, clarity change prediction module, and data adjustment module: The on-site environment information acquisition module is used to capture on-site environment information and sound information passing through the multi-channel scene based on a camera module set up at the program venue, wherein the on-site environment information includes personnel distribution information, sound transmission speed information, and audio interference habits; The sound track calculation module is used to simulate the sound track of the sound passing through the multi-channel scene based on the scene environment information collected by the scene environment information collection module; The clarity detection module is used to detect the clarity of the multi-channel scene based on the clarity detection model and the sound information collected by the scene environment information collection module; The environmental information acquisition module is used to measure the environmental climate data of the program venue in real time based on the environmental climate acquisition instrument, and the environmental climate data includes the air humidity within the program venue, the ambient temperature within the program venue, the light intensity within the program venue, and the air pressure within the program venue; The clarity change prediction module is used to predict the clarity change of the multi-channel scene based on the clarity of the multi-channel scene detected by the clarity detection module and the environmental climate data collected by the environmental information collection module; The data adjustment module is used to compare the clarity information of the multi-channel scene detected by the clarity detection module with the clarity change value of the multi-channel scene predicted by the clarity change prediction module, and to adjust the clarity change prediction value of the multi-channel scene whose comparison result error exceeds a preset threshold by adjusting the clarity change prediction model parameters.

2. A program production and editing big data analysis and integrated management system according to claim 1, characterized in that: The scene environment information collection module collects audio interference habits, specifically including the following steps: A1, collect historical sound channel monitoring information, by collecting historical sound channel monitoring information, the transmission data of the sound during the transmission process can be obtained; A2, collect historical speeding monitoring information, by collecting historical speeding monitoring information, the usual transmission speed of sound during transmission can be obtained; A3, through the data integration model, the collected sound habit transmission speed and the collected historical transmission data are integrated to obtain the sound transmission habit.

3. A program production and editing big data analysis and integrated management system according to claim 1, characterized in that: The sound track calculation module comprises: A sound information receiving module, the sound information receiving module is used to receive ground image information of the multi-fog section program venue collected by the on-site environment information collection module; An image segmentation module, the image segmentation module is used to perform image segmentation on the ground image information received by the sound information receiving module based on an image segmentation model to obtain transmission channel information; An audio interference habit receiving module, the audio interference habit receiving module is used to receive the audio interference habits collected by the on-site environment information collection module; A data marking module, the data marking module is used to mark the track on the transmission channel information obtained by the picture segmentation module based on the audio interference habit received by the audio interference habit receiving module; The data fusion module is used to fuse the track marks of multiple sounds and fuse the track marks of multiple sounds into the same background image.

4. A program production and editing big data analysis and integrated management system according to claim 1, characterized in that: The sound track calculation module specifically includes the following steps: B1, receiving ground image information of the multi-fog section program venue collected by the on-site environment information collection module through the sound information receiving module; B2, performing image segmentation on the ground image information received by the sound information receiving module based on the image segmentation model by the image segmentation module to obtain transmission channel information; B3, receiving the audio interference habits collected by the on-site environment information collection module through the audio interference habit receiving module; B4, using a data marking module to mark a track on the transmission channel information obtained by the image segmentation module based on the audio interference habit received by the audio interference habit receiving module; B5, the track marks of multiple sounds are fused through the data fusion module, the track marks of multiple sounds are fused into the same background image, and when the track marks of multiple sounds overlap, a start message is sent to the alarm reminder module.

5. A program production and editing big data analysis and integrated management system according to claim 4, characterized in that: The clarity change prediction module comprises: A clarity information receiving module, the clarity information receiving module is used to receive the clarity information sent by the clarity detection module; An environmental information receiving module, the environmental information receiving module is used to receive environmental climate data sent by the environmental information acquisition module; A data segmentation module, the data segmentation module is used to segment the clarity information received by the clarity information receiving module, the data segmentation standard is based on the environmental climate data received by the environmental information receiving module, and the data related to the environmental climate data in the clarity information is segmented; A data prediction module, the data prediction module is used to predict changes in the clarity information related to the environmental climate data based on the clarity information related to the environmental climate data segmented by the data segmentation module and the environmental climate data received by the environmental information receiving module; The data integration module is used to perform data fusion based on the prediction results obtained by the data prediction module and the remaining data segmented by the data segmentation module, so as to obtain the clarity change prediction results.

6. A program production and editing big data analysis and integrated management system according to claim 5, characterized in that: Also includes An information prompt module, the information prompt module is used to send a prompt message when the clarity change prediction result shows that the clarity is further reduced; An alarm reminder module is used to issue an alarm reminder when the trajectory marks of multiple sounds overlap.

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