CN114760441A - LED digital background shooting monitoring method and device - Google Patents
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
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Abstract
The application discloses a method, a device and equipment for monitoring shooting of an LED digital background. According to the method, data collection is carried out on the full processing link of the LED digital background shooting system, the data of each module in the LED digital background shooting system are integrated through virtual digital assets, software operating environments, upstream hardware and downstream hardware and the like, problem points and potential risks on the LED digital background shooting link are automatically analyzed and positioned, full link monitoring of the LED digital background shooting system is achieved, therefore, the problem troubleshooting efficiency of the LED digital background shooting system can be improved, and the stability of the shooting system is improved.
Description
Technical Field
The application relates to the technical field of LED digital background shooting, in particular to a method and a device for monitoring LED digital background shooting and electronic equipment.
Background
LED digital background shooting is movie and television shooting by projecting video or real-time rendered images on an LED screen as LED digital backgrounds. An LED digital background shooting system (hereinafter referred to as a shooting system) relates to multi-user, multi-equipment, multi-processing links and multiple technical processing, has high system complexity, and needs a monitoring system to solve the problems existing in the use of the shooting system so as to ensure the stable operation of the shooting system and support the normal development of shooting tasks.
Currently, each module in the shooting system monitors the respective operating state in a monitoring mode. For example, the running state of the LED screen hardware is monitored by a screen management tool; monitoring the running state of playing the 2D video on the LED screen through a video playing control tool; monitoring the running state of a rendering server of the 3D digital background through a tool provided by a game engine; and monitoring the running state of the 2D video +3D digital background shooting through a virtual shooting system.
However, in the process of implementing the present invention, the inventor finds that the above technical solution has at least the following problems: the system does not have the full link monitoring capability, a user is difficult to judge which link has a problem when encountering the problem, multi-party joint investigation of a virtual digital asset provider, software, a hardware service provider and the like needs to be coordinated, and the efficiency is low.
Disclosure of Invention
The application provides a method for shooting and monitoring an LED digital background, which aims to solve the problems that potential risks of a system cannot be found in time and the problem troubleshooting efficiency is low in the prior art. The application additionally provides a monitoring devices is shot to LED digital background to and electronic equipment.
The application provides a method for shooting and monitoring an LED digital background, which comprises the following steps:
Acquiring multi-module data of an LED digital background shooting system;
according to the multi-module data, determining abnormal information and abnormal reason positioning information of the shooting system;
and displaying the abnormal information and the abnormal reason positioning information.
Optionally, the multi-module data includes: configuration data for a plurality of hardware devices;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
and acquiring the hardware equipment information which does not conform to the configuration requirement according to the configuration data and the configuration requirement information of the hardware equipment.
Optionally, the multi-module data includes: operational load data for a plurality of hardware devices;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
acquiring overloaded hardware equipment information according to the running load data and the load threshold of the hardware equipment;
and acquiring abnormal information caused by overload of the hardware equipment.
Optionally, the multi-module data includes: outputting frame rate change data by the three-dimensional scene rendering module, and outputting data related to the influence factors of the frame rate by the three-dimensional scene rendering module;
The determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
and acquiring current factor information causing the reduction of the output frame rate according to the output frame rate change data and the data related to the influence factors.
Optionally, the data related to the influencing factors includes: the system comprises specification data of a shooting material, shooting material specification data supported by GPU hardware decoding, operational capability data of a rendering server, load data of the rendering server, frame rate of images output by each module, video memory data required by a three-dimensional scene, GPU computational power data and read-write data.
Optionally, the multi-module data includes: GPU load data and/or video memory load data of the video playing control module, specification data and specification requirement data of playing videos of the video playing control module, and specification data and specification requirement data of an LED screen;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
judging whether the video playing control module has load abnormality or not according to the GPU load data and/or the video memory load data;
if the judgment result is yes, acquiring the reason positioning information causing the load abnormality according to the GPU load data and/or the video memory load data, the specification data and the specification requirement data of the played video, and the specification data and the specification requirement data of the LED screen.
Optionally, the multi-module data includes: the specification data of the data are output by the plurality of software modules, and the specification requirement data of the data are input by the plurality of software modules;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
and aiming at the software modules with the upstream and downstream relations, obtaining incompatible software module information according to the specification data of the output data of the upstream software module and the specification requirement information of the input data of the downstream software module.
Optionally, the multi-module data includes: exception data generated by the hardware device;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
and acquiring the information of the hardware equipment with the fault according to the abnormal data.
Optionally, the method further includes:
determining solution information according to the abnormal reason positioning information;
and displaying the solution information.
Optionally, the method further includes:
acquiring user feedback information aiming at the abnormity;
and adjusting the related data of the shooting system according to the user feedback information.
Optionally, the method further includes:
acquiring the abnormal information and abnormal reason positioning information of a plurality of shooting sites;
And determining the improvement scheme information of the shooting system according to the abnormal information and the abnormal reason positioning information of a plurality of shooting sites.
The application additionally provides a monitoring devices is shot to LED digital background, includes: the device comprises a data acquisition unit, a data processing unit and a data display unit.
The data acquisition unit is used for acquiring multi-module data of the LED digital background shooting system; the data processing unit is used for determining abnormal information and abnormal reason positioning information of the shooting system according to the multi-module data; and the data display unit is used for displaying the abnormal information and the abnormal reason positioning information.
Optionally, the multi-module data includes: configuration data for a plurality of hardware devices;
the data processing unit is specifically configured to obtain, according to the configuration data and the configuration requirement information of the hardware device, hardware device information that does not meet the configuration requirement.
Optionally, the multi-module data includes: operational load data for a plurality of hardware devices; the data processing unit is specifically configured to obtain overloaded hardware device information according to the operating load data and the load threshold of the hardware device; and acquiring abnormal information caused by overload of the hardware equipment.
Optionally, the multi-module data includes: outputting frame rate change data by the three-dimensional scene rendering module, and outputting data related to influence factors of the frame rate by the three-dimensional scene rendering module; the data processing unit is specifically configured to obtain current factor information that causes a decrease in the output frame rate according to the output frame rate change data and the data related to the influencing factor.
Optionally, the data related to the influencing factors includes: the system comprises specification data of a shooting material, shooting material specification data supported by GPU hardware decoding, operational capability data of a rendering server, load data of the rendering server, frame rate of images output by each module, video memory data required by a three-dimensional scene, GPU computational power data and read-write data.
Optionally, the multi-module data includes: GPU load data and/or video memory load data of the video playing control module, specification data and specification requirement data of playing videos of the video playing control module, and specification data and specification requirement data of an LED screen; the data processing unit is specifically used for judging whether the video broadcast control module has load abnormality or not according to the GPU load data and/or the video memory load data; if the judgment result is yes, acquiring the reason positioning information causing the load abnormality according to the GPU load data and/or the video memory load data, the specification data and the specification requirement data of the played video, and the specification data and the specification requirement data of the LED screen.
Optionally, the multi-module data includes: the specification data of the data are output by the plurality of software modules, and the specification requirement data of the data are input by the plurality of software modules; the data processing unit is specifically configured to, for a software module having an upstream-downstream relationship, obtain incompatible software module information according to specification data of output data of an upstream software module and specification requirement information of input data of a downstream software module.
Optionally, the multi-module data includes: exception data generated by the hardware device; and the data processing unit is specifically used for acquiring the information of the hardware equipment with the fault according to the abnormal data.
Optionally, the apparatus may further include: a solution determining unit and a solution displaying unit.
The solution determining unit is used for determining solution information according to the abnormal reason positioning information; and the solution display unit is used for displaying the solution information.
Optionally, the apparatus may further include: further comprising: the system comprises a user feedback acquisition unit and a shooting system adjusting unit.
The user feedback acquisition unit is used for acquiring user feedback information aiming at the abnormity; and the shooting system adjusting unit is used for adjusting the related data of the shooting system according to the user feedback information.
The present application also provides a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to perform the various methods described above.
The present application also provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the various methods described above.
Compared with the prior art, the method has the following advantages:
according to the LED digital background shooting monitoring method provided by the embodiment of the application, data collection is carried out on the full processing link of the LED digital background shooting system, the data collection comprises virtual digital assets, software operating environment, upstream and downstream hardware and the like, data of all modules in the LED digital background shooting system are integrated, problem points and potential risks on the LED digital background shooting link are automatically analyzed and positioned, full link monitoring on the LED digital background shooting system is achieved, therefore, the problem troubleshooting efficiency of the LED digital background shooting system can be improved, and the stability of the shooting system is improved.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of a method for monitoring digital background shooting of an LED provided in the present application;
FIG. 2 is a schematic diagram of a camera system according to an embodiment of the LED digital background camera monitoring method provided by the present application;
Fig. 3 is a structural diagram of a monitoring system according to an embodiment of a method for monitoring shooting of an LED digital background provided in the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of implementation in many different ways than those herein set forth and of similar import by those skilled in the art without departing from the spirit of this application and is therefore not limited to the specific implementations disclosed below.
In the application, an LED digital background shooting monitoring method and device and an electronic device are provided. Each embodiment will be described in detail below.
First embodiment
Please refer to fig. 1, which is a flowchart of an LED digital background shooting monitoring method according to the present application. In this embodiment, the method may include the steps of:
step S101: and acquiring multi-module data of the LED digital background shooting system.
The method for monitoring the shooting of the LED digital background provided by this embodiment monitors multiple modules in the shooting system, including virtual digital assets, specifications of software and hardware, and operating states, and performs overall risk assessment and other processing on the shooting system by synthesizing the monitoring data of the full link of the shooting system.
The shooting system is a system for shooting videos by projecting videos or real-time rendered images on an LED screen as an LED digital background. The shooting system can comprise complex software functions of virtual digital asset manufacturing, digital asset presentation and real-time adjustment, video broadcasting control, 3D scene real-time rendering, camera dynamic compensation data acquisition, camera picture acquisition and fusion and the like, and further comprises the building and maintenance of a series of hardware equipment such as various broadcasting control and rendering servers, image data sending card receiving cards, LED screen walls and the like.
As shown in fig. 2, the photographing system of the present embodiment may include the following modules: the system comprises a virtual digital asset, a broadcast control server, a camera dynamic compensation device, a rendering service cluster, an image processor and an LED screen wall. The virtual digital assets are also called shooting material data, are image contents displayed on an LED background wall according to shooting scenes, and comprise pictures, ultra-high-definition videos, virtual 3D scenes and the like. The LED screen curtain wall is formed by splicing and constructing LED screen box bodies with small spacing and is used for presenting virtual digital assets. The broadcasting control server is a core control unit of the shooting system and is responsible for managing digital assets, controlling the playing, pausing and real-time color matching of the digital assets and data transfer of different modules in a link. The camera dynamic compensation equipment is used for acquiring data such as the spatial position, the focal length, the aperture change and the like of the camera, and images displayed on the LED screen need to be correspondingly adjusted according to the input data of the camera. The rendering service cluster is responsible for real-time rendering of the digital assets, and can be divided into video decoding services and 3D virtual scene rendering servers according to different types of the digital assets, and one or more rendering servers are required to form a cluster to provide rendering services according to different sizes of images to be presented. The image processor is responsible for post-processing the images output by the rendering service cluster, such as segmentation, HDR10 enhancement, etc., and this module can be removed in scenes that do not require special processing of the output image quality. The LED screen curtain wall is formed by splicing hundreds of small LED screen box bodies, and the video signal sending card and the video signal receiving card are matched with each other and are responsible for distributing video signals input at the upstream to hundreds of LED screens.
The multi-module data of the shooting system includes but is not limited to: the data of the shooting material specification, the data of the software module specification, the data of the hardware equipment specification and the data of the hardware equipment running state.
The shooting materials are also called virtual digital assets, are image contents displayed on an LED background wall according to shooting scenes, and comprise pictures, ultra-high-definition videos, virtual 3D scenes and the like. The specification data of the shooting material includes, but is not limited to: material size, format, etc., such as picture pixel, video frame rate, etc. The shooting material data of the present embodiment is shown in table 1 below:
TABLE 1 shooting material data sheet
The software modules include but are not limited to: the device comprises a video playing control module for playing a 2D video on an LED screen, a 3D scene real-time rendering module, a camera dynamic compensation data acquisition module, a virtual shooting module and an image processing module. The specification data of the software module may include specification requirements of input data and output data of the software module, for example, the specification requirements of the input data are an HDM I version, a highest resolution, a frame rate, and the like supported by an input end of a sending card, and the specification requirements of the output data are the number of interfaces and output specifications output by a display card of a rendering server, a color gamut, a format, and the like of image data.
The hardware devices include, but are not limited to: the system comprises an LED screen wall, a camera, an image data sending card and an image data receiving card and a rendering server. The configuration data of the hardware device is the technical index of the hardware device, such as color gamut, bit depth, service time and the like supported by the LED screen. The operation state data of the hardware device includes, but is not limited to, a load condition of the hardware device in an operation process, such as a GPU load and a video memory load of each operation server, and may also include a memory use condition, a local area network transmission packet loss rate, and the like.
As shown in fig. 3, the module data of the photographing system may be acquired by a monitoring tool deployed in a client at a photographing site. In this embodiment, the client monitoring tool includes: the system comprises a virtual digital asset analysis tool, an operation server monitoring tool and an LED screen monitoring tool. The virtual digital asset analysis tool is used for acquiring the shooting material data from the virtual digital asset processing module. The operation server monitoring tool is used for acquiring related software module data and hardware equipment data from the broadcast control server, the rendering server cluster and the image processor. The LED screen monitoring tool may be used to obtain data related to a video signaling card.
In specific implementation, the operation server monitoring tool can call the existing monitoring tool of each module to obtain the data of the corresponding module. For example, software specification data of 2D video playing software, technical indexes and running load data of a playing server are acquired by a video playing tool, specification data of 3D digital background rendering software, technical indexes and running load data of a rendering service cluster are acquired by a tool provided by a game engine, and specification data of 2D video +3D digital background shooting software, technical indexes and running load data of an image processor are acquired by a virtual shooting system.
Step S103: and determining abnormal information and abnormal reason positioning information of the shooting system according to the multi-module data.
As shown in fig. 3, the client monitoring tool reports the collected multi-module data to the data analysis server, the server may be deployed in the cloud or on a server in the shooting system lan, and the data analysis server is responsible for analyzing all the collected data, finding a problem or risk in the shooting system, and giving an alarm.
In one example, the multi-module data includes: configuration data for a plurality of hardware devices; step S103 can be implemented as follows: and acquiring the hardware equipment information which does not conform to the configuration requirement according to the configuration data and the configuration requirement information of the hardware equipment. For example, the configuration requirement of the LED screen wall is that the distance between the LED screens is more than 3 mm. By adopting the processing mode, the hardware equipment of which the hardware index does not meet the shooting requirement of the LED digital background can be found, and a user can adjust the hardware configuration according to the information.
In one example, the multi-module data includes: operational load data of a plurality of hardware devices; step S103 can be implemented as follows: acquiring overloaded hardware equipment information according to the running load data and the load threshold of the hardware equipment; and acquiring abnormal information caused by overload of the hardware equipment. For example, the rendering server GPU is too heavily loaded, resulting in a reduced output frame rate. By adopting the processing mode, the risk of reducing the output frame rate in real-time rendering of the three-dimensional scene can be found in time, and the reason for generating the risk is that the load of a GPU of the rendering server is too high, so that a user can interfere with the load of the GPU in time, and the image blocking problem caused by continuous reduction of the output frame rate is avoided.
In one example, the multi-module data includes: GPU load data and/or video memory load data of the video playing control module, specification data and specification requirement data of playing videos of the video playing control module, and specification data and specification requirement data of an LED screen; step S103 can be implemented as follows: judging whether the video playing control module has load abnormality or not according to the GPU load data and/or the video memory load data; if the judgment result is yes, acquiring the reason positioning information causing the load abnormality according to the GPU load data and/or the video memory load data, the specification data and the specification requirement data of the played video, and the specification data and the specification requirement data of the LED screen. By adopting the processing mode, if GPU load and video memory load are abnormal during video playing control, the problem of upstream digital assets or downstream screen hardware can be positioned.
In one example, the multi-module data includes: the specification data of the data are output by the plurality of software modules, and the specification requirement data of the data are input by the plurality of software modules; step S103 can be implemented as follows: and aiming at the software modules with the upstream and downstream relations, obtaining incompatible software module information according to the specification data of the output data of the upstream software module and the specification requirement information of the input data of the downstream software module. By adopting the processing mode, the incompatibility problem of the upstream module and the downstream module in the shooting system can be found. For example, the rendering server outputs 4K @60 frames of 10bit YUV data, but the highest input supported by the image processor is 4K @30 frames of 8bit RGB data, whereby incompatibility between the rendering server and the image processor can be determined.
In one example, the multi-module data includes: abnormal data generated by hardware equipment, such as temperature rise caused by short circuit of an LED individual box body, wherein the temperature abnormality is reported by an LED screen; step S103 can be implemented as follows: and acquiring information of the hardware equipment with faults according to the abnormal data, wherein if a certain hardware module reports an abnormality in the operation process, if the LED individual box body is short-circuited, the temperature is increased. By adopting the processing mode, the equipment with faults can be found in time, so that the user can process the equipment faults in time and the normal operation of the shooting system is ensured.
In one example, the multi-module data includes: outputting frame rate change data by the three-dimensional scene rendering module, and outputting data related to influence factors of the frame rate by the three-dimensional scene rendering module; step S103 can be implemented as follows: and acquiring current factor information causing the reduction of the output frame rate according to the output frame rate change data and the data related to the influence factors. For example, the output frame rate of real-time rendering of a three-dimensional scene in the operation process is influenced by a plurality of factors, such as the GPU load of a rendering server and the specification of three-dimensional scene data, and when the monitoring system finds that the output frame rate is continuously decreased, the monitoring system can detect data related to each factor, thereby finding the current factor causing the problem, such as the current factor being too high load of the GPU of the rendering server or other factors. By adopting the processing mode, whether the shooting system has the risk of reducing the output frame rate of real-time rendering of the three-dimensional scene and the current reason causing the risk can be found, and a user can adjust the shooting system according to the specific reason so as to eliminate the risk, avoid the problem of blockage of the LED digital background image and ensure the normal operation of the shooting system.
The data related to the influencing factors includes, but is not limited to, at least one of the following data: the system comprises specification data of a shooting material, shooting material specification data supported by GPU hardware decoding, operational capability data of a rendering server, load data of the rendering server, frame rate of images output by each module, video memory data required by a three-dimensional scene, GPU computational power data and read-write data.
Taking an LED digital background image stuck as an example, through an LED digital background shooting monitoring system, when the frame rate of an LED digital background is reduced, the monitoring system can find and alarm in advance, and by analyzing the digital asset specification, the theoretical calculation capability of a rendering server, the actual load of the rendering server and the image output frame rate of each module, the monitoring system can clearly position the reason causing the reduction of the frame rate of the LED digital background.
Step S105: and displaying the abnormal information and the abnormal reason positioning information.
In the embodiment, a game shooting scheme is adopted, the LED digital background adopts video of a projection video, a backward street view in the running process of a vehicle is simulated, and the image of the LED digital background has the problem of blockage. To investigate and locate this problem, analysis and investigation need to be performed from multiple links such as virtual digital assets, broadcast control software operating environment, hardware specification, and the like, specifically including:
1. the digital assets firstly confirm the refresh rate when the digital assets are collected, whether the refresh rate meets the specification requirements or not, whether repeated frames exist or not, secondly confirm the size of the digital assets, whether the read-write operation reaches the bottleneck due to the overlarge size of the digital assets or not, and cause the reduction of the processing capacity, and secondly confirm whether the coding specification of the digital assets is matched with the decoding capacity of the GPU or not, and whether the coding specification of the digital assets is in a list supported by the GPU or not.
2. And the broadcast control software firstly confirms whether the broadcast control software adopts the most efficient GPU decoding or not, and secondly confirms whether the output frame rate of the broadcast control software is lower than the expected frame rate or not.
3. Whether key resources such as a broadcast control software running environment, a CPU load, a GPU rendering load, a GPU decoding load, a system memory, a system video memory and the like reach a bottleneck or not, whether the processing capacity is reduced due to mechanisms such as overheating protection and the like or not, and whether other background processes occupy too many system resources or not.
4. And the hardware specification is to firstly confirm whether the highest resolution and the refresh rate supported by the signal output by the display card are limited by the output specification of the display card, so that the highest frame rate which can be output under the current resolution is lower, and secondly confirm whether the highest resolution and the refresh rate supported by the transmitting card, the receiving card and the LED screen are limited by the input and output specification of the hardware, so that the highest frame rate under the current resolution is lower.
Through the practical problem, the monitoring method provided by the embodiment of the application can automatically identify the image blockage problem of the shooting system, automatically position various factors generated by the problem and display the factors to a user for viewing because the shooting system is high in complexity and the influence factors of the image blockage problem are very many.
In one example, the method may further include the steps of: determining solution information according to the abnormal reason positioning information; and displaying the solution information. By adopting the processing mode, the corresponding solution can be recommended to the user, the user can conveniently and quickly solve the problem, and the normal operation of the shooting system is ensured. For example: if the specification of the video digital assets is not in a support list decoded by GPU hardware, the user can be recommended to transcode the digital assets into the recommended specification; if the 3D scene is too complex and exceeds the capability of a rendering server, the specific resource bottleneck, namely video memory, GPU computing power or read-write operation can be analyzed, and then the user is recommended to expand corresponding resources.
In one example, the method may further comprise the steps of: acquiring user feedback information aiming at the abnormity; and adjusting the related data of the shooting system according to the user feedback information. By adopting the processing mode, the problem can be solved through the monitoring system, and the problem can be solved independently for each module without a user, so that the problem solving efficiency can be effectively improved.
In one example, the method may further comprise the steps of: acquiring the abnormal information and abnormal reason positioning information of a plurality of shooting sites; and determining improved scheme information of the shooting system according to the abnormal information and the abnormal reason positioning information of a plurality of shooting sites. For example, the situation of stuck in all video playing processes is analyzed, and when 60% of the situations of stuck are found, the user starts post-processing of virtualization, so that it is inferred that the post-processing of virtualization occupies more system resources, resulting in stuck, and then the implementation mode of post-processing of virtualization is optimized, so that the system resources occupied by post-processing of virtualization are reduced, and the situation of stuck in video playing is greatly reduced.
As can be seen from the foregoing embodiments, the LED digital background shooting monitoring method provided in the embodiments of the present application integrates data of each module in the LED digital background shooting system by performing data collection on a full processing link of the LED digital background shooting system, including virtual digital assets, software operating environments, upstream and downstream hardware, and the like, and automatically analyzes and locates problem points and potential risks on the LED digital background shooting link, thereby implementing full link monitoring on the LED digital background shooting system, and thus, the problem troubleshooting efficiency of the LED digital background shooting system can be improved, and the stability of the shooting system is improved.
Second embodiment
In the above embodiment, an LED digital background shooting monitoring method is provided, and correspondingly, the present application further provides an LED digital background shooting monitoring apparatus. The device corresponds to the embodiment of the method. Since the apparatus embodiments are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the description of the method embodiments for relevant points. The device embodiments described below are merely illustrative.
The application additionally provides a monitoring devices is shot to LED digital background, includes: the data acquisition unit, the data processing unit, data display element.
The data acquisition unit is used for acquiring multi-module data of the LED digital background shooting system; the data processing unit is used for determining abnormal information and abnormal reason positioning information of the shooting system according to the multi-module data; and the data display unit is used for displaying the abnormal information and the abnormal reason positioning information.
Optionally, the multi-module data includes: configuration data for a plurality of hardware devices;
the data processing unit is specifically configured to obtain, according to the configuration data and the configuration requirement information of the hardware device, hardware device information that does not meet the configuration requirement.
Optionally, the multi-module data includes: operational load data of a plurality of hardware devices; the data processing unit is specifically configured to obtain overloaded hardware device information according to the operation load data and the load threshold of the hardware device; and acquiring abnormal information caused by overload of the hardware equipment.
Optionally, the multi-module data includes: outputting frame rate change data by the three-dimensional scene rendering module, and outputting data related to the influence factors of the frame rate by the three-dimensional scene rendering module; the data processing unit is specifically configured to obtain current factor information that causes a decrease in the output frame rate according to the output frame rate change data and the data related to the influencing factor.
Optionally, the data related to the influencing factors includes: the system comprises specification data of a shooting material, shooting material specification data supported by GPU hardware decoding, operational capability data of a rendering server, load data of the rendering server, frame rate of images output by each module, video memory data required by a three-dimensional scene, GPU computational power data and read-write data.
Optionally, the multi-module data includes: GPU load data and/or video memory load data of the video playing and controlling module, specification data and specification requirement data of playing videos of the video playing and controlling module, and specification data and specification requirement data of an LED screen; the data processing unit is specifically used for judging whether the video playing control module has load abnormality or not according to the GPU load data and/or the video memory load data; if the judgment result is yes, acquiring the reason positioning information causing the load abnormality according to the GPU load data and/or the video memory load data, the specification data and the specification requirement data of the played video, and the specification data and the specification requirement data of the LED screen.
Optionally, the multi-module data includes: the specification data of the data are output by the plurality of software modules, and the specification requirement data of the data are input by the plurality of software modules; the data processing unit is specifically configured to, for a software module having an upstream-downstream relationship, obtain incompatible software module information according to specification data of output data of an upstream software module and specification requirement information of input data of a downstream software module.
Optionally, the multi-module data includes: exception data generated by the hardware device; and the data processing unit is specifically used for acquiring the information of the hardware equipment with the fault according to the abnormal data.
Optionally, the apparatus may further include: a solution determining unit and a solution displaying unit.
The solution determining unit is used for determining solution information according to the abnormal reason positioning information; and the solution display unit is used for displaying the solution information.
Optionally, the apparatus may further include: further comprising: the system comprises a user feedback acquisition unit and a shooting system adjusting unit.
The user feedback acquisition unit is used for acquiring user feedback information aiming at the abnormity; and the shooting system adjusting unit is used for adjusting the related data of the shooting system according to the user feedback information.
Third embodiment
In the above embodiment, an LED digital background shooting monitoring method is provided, and correspondingly, the present application further provides an electronic device. The apparatus corresponds to an embodiment of the method described above. Since the apparatus embodiments are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for relevant points. The device embodiments described below are merely illustrative.
The electronic device of the embodiment includes:
a processor and a memory;
and the memory is used for storing a program for realizing the LED digital background shooting monitoring method, and the equipment is powered on and runs the program of the method through the processor.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
1. Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
2. As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Claims (12)
1. A LED digital background shooting monitoring method is characterized by comprising the following steps:
acquiring multi-module data of an LED digital background shooting system;
according to the multi-module data, determining abnormal information and abnormal reason positioning information of the shooting system;
and displaying the abnormal information and the abnormal reason positioning information.
2. The method according to claim 1,
the multi-module data includes: configuration data for a plurality of hardware devices;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
and acquiring the hardware equipment information which does not conform to the configuration requirement according to the configuration data and the configuration requirement information of the hardware equipment.
3. The method according to claim 1,
the multi-module data includes: operational load data for a plurality of hardware devices;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
acquiring overloaded hardware equipment information according to the running load data and the load threshold of the hardware equipment;
and acquiring abnormal information caused by overload of the hardware equipment.
4. The method according to claim 1,
the multi-module data includes: outputting frame rate change data by the three-dimensional scene rendering module, and outputting data related to the influence factors of the frame rate by the three-dimensional scene rendering module;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
and acquiring current factor information causing the reduction of the output frame rate according to the output frame rate change data and the data related to the influence factors.
5. The method according to claim 4,
the data related to the influencing factors comprises: the system comprises specification data of a shooting material, shooting material specification data supported by GPU hardware decoding, operational capability data of a rendering server, load data of the rendering server, frame rate of images output by each module, video memory data required by a three-dimensional scene, GPU computational power data and read-write data.
6. The method according to claim 1,
the multi-module data includes: GPU load data and/or video memory load data of the video playing and controlling module, specification data and specification requirement data of playing videos of the video playing and controlling module, and specification data and specification requirement data of an LED screen;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
judging whether the video playing control module has load abnormality or not according to the GPU load data and/or the video memory load data;
if the judgment result is yes, acquiring the reason positioning information causing the load abnormality according to the GPU load data and/or the video memory load data, the specification data and the specification requirement data of the played video, and the specification data and the specification requirement data of the LED screen.
7. The method according to claim 1,
the multi-module data includes: the specification data of the data are output by the plurality of software modules, and the specification requirement data of the data are input by the plurality of software modules;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
And aiming at the software modules with the upstream and downstream relations, obtaining incompatible software module information according to the specification data of the output data of the upstream software module and the specification requirement information of the input data of the downstream software module.
8. The method according to claim 1,
the multi-module data includes: exception data generated by the hardware device;
the determining the abnormal information and the abnormal reason positioning information of the shooting system according to the multi-module data comprises the following steps:
and acquiring the information of the hardware equipment with the fault according to the abnormal data.
9. The method of claim 1, further comprising:
determining solution information according to the abnormal reason positioning information;
and displaying the solution information.
10. The method of claim 1 or 4, further comprising:
acquiring user feedback information aiming at the abnormity;
and adjusting the related data of the shooting system according to the user feedback information.
11. The utility model provides a monitoring devices is shot to LED digital background which characterized in that includes:
the data acquisition unit is used for acquiring multi-module data of the LED digital background shooting system;
the data processing unit is used for determining abnormal information and abnormal reason positioning information of the shooting system according to the multi-module data;
And the data display unit is used for displaying the abnormal information and the abnormal reason positioning information.
12. An electronic device, comprising:
a processor and a memory;
a memory for storing a program implementing the method of any one of claims 1-10, the device being powered on and the program for executing the method by the processor.
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