CN105306900A - Intelligent scheduling high definition integrated networking video monitoring system based on cloud computing - Google Patents
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Abstract
The invention discloses an intelligent scheduling high definition integrated networking video monitoring system based on cloud computing. The system comprises a front-end device, a sensor access subsystem, a controlling and scheduling subsystem, a data processing subsystem, a data storage subsystem, a data streaming media subsystem and a user terminal. The system has the following advantages: (1) the data storage capacity is large, and the data storage capacity can be expanded in a modular manner; (2) long-distance large-scale video monitoring is supported; and (3) high-efficiency data processing ability is provided.
Description
Technical Field
The invention relates to the technical field of video monitoring, in particular to an intelligent scheduling high-definition comprehensive networking video monitoring system based on cloud computing.
Background
With the rapid development of social economy, the demand of high-definition video monitoring systems in various fields of life and production is increasing day by day, but the traditional video monitoring system has the problems of insufficient capacity of data transmission quantity, data processing and data load balancing.
At present, a cloud computing technology and an intelligent scheduling technology are mature day by day, data processing is moved from a terminal to a server for processing through the cloud computing technology and the intelligent scheduling, and then data are dynamically output according to the requirements of a monitoring terminal.
Therefore, based on the thought, the invention designs an intelligent scheduling comprehensive networking high-definition video monitoring system based on cloud computing, high-definition data occupying large terminal processing performance is transmitted to a server through distributed scheduling, coding and decoding conversion is carried out by processing service, and a video stream meeting the requirements of bandwidth and terminal equipment of a watching end is dynamically output, so that the problem that the traditional video monitoring system is difficult to realize under the framework can be solved.
Disclosure of Invention
In view of this, the invention aims to provide an intelligent scheduling high-definition integrated networking video monitoring system based on cloud computing. Therefore, the requirement for processing and storing data is multiplied, and wireless video monitoring is realized.
The purpose of the invention is realized by the following technical scheme:
the invention discloses an intelligent scheduling high-definition comprehensive networking video monitoring system based on cloud computing, which comprises front-end equipment, a sensor access subsystem, a control scheduling subsystem, a data processing subsystem, a data storage subsystem, a data stream media subsystem and a user terminal, wherein the front-end equipment is connected with the sensor access subsystem through a network; wherein,
the sensor is accessed into the subsystem: the system comprises an access server, wherein the front-end equipment is connected to a data processing subsystem or the access server in an RTSP or SDK mode, so that the standardized access of a heterogeneous front-end sensor is realized for the calling of other modules;
the control scheduling subsystem: the system comprises a database server and a Web server, wherein the control scheduling subsystem interacts with a client in a signaling transmission mode and performs unified management and monitoring on the whole platform through a ZooKeeper;
the data storage subsystem: the system comprises a data storage server array, a data processing unit and a data processing unit, wherein the data storage server array is used for storing video data and providing data calling requirements of tasks such as video playback and downloading;
the data processing subsystem: the system comprises a data processing server, a data processing subsystem and a data processing subsystem, wherein the data processing server stores or transmits a processing result to the data streaming subsystem in a standard streaming media form by encoding and decoding video data;
the data stream media subsystem: the system comprises a streaming media server, a real-time video viewing and video playback stream and a real-time video playing and playing back stream, wherein the streaming media server is used for providing the real-time video viewing and video playback stream through an RTSP streaming media service and providing the video playback stream through an HTTP streaming media service;
a user terminal: the data stream media server is connected with the data stream media server and is used for user interaction to complete the transmission of operation signaling, feedback information and data stream of the user and the platform end;
the front-end equipment comprises one or more of an analog camera, a video acquisition card, an analog camera, a hard disk video recorder, a PC repeater, a network camera, a PC acquisition end, an embedded IPC high-definition camera, an embedded DVS or an analog camera.
Furthermore, in the sensor access subsystem, the access server detects the abnormality of the front-end sensor by monitoring the front-end sensor, and if the abnormality occurs, an alarm is started.
Further, the data processing subsystem comprises a distributed cloud computing data processing system and a task control scheduling system.
Further, the data storage subsystem includes a metadata management system and a data block storage server system.
Furthermore, the system is structured by adopting a mode of adding X86 standard servers and cloud video monitoring software, and each subsystem establishes a connection relation with the server through an INTERNET access or direct access mode.
The invention has the beneficial effects that:
(1) large amount of stored data
Compared with a traditional video monitoring system architecture mainly based on firmware, the video monitoring system based on cloud computing has strong storage capacity and flexible storage expansion capacity. The system replaces the traditional video firmware matrix with a heterogeneous front-end sensor oriented and a homogeneous X86 standard server array, replaces the traditional hard disk video recorder with distributed storage and control nodes, and can directly expand the storage capacity of the system by adding storage nodes.
(2) Support long-distance large-scale video monitoring
The traditional monitoring system network is mainly connected into a local area network according to deployment cables, and a small number of the traditional monitoring system networks can carry out small-scale remote monitoring. The system utilizes the ZooKeeper to control and dispatch server resources, improves the transmission efficiency of the whole public network of the sensor terminal, and realizes remote video monitoring.
(3) Efficient data processing capability
The data processing end adopts the distributed data processing node array to convert the video signals into signals which can be played by the monitoring terminal, so that the problem of small decoding capacity of the mobile monitoring end is effectively avoided, the data transmission and the video monitoring are more stable, and the requirements of the mobile terminal for receiving and playing high-definition videos are met.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof.
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In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
FIG. 1 is a block topology diagram of the present invention;
FIG. 2 is a schematic diagram of a storage end system connection of the present invention;
FIG. 3 is a schematic diagram of a work flow of a data processing side module according to the present invention;
FIG. 4 is a schematic diagram of a data control end system architecture according to the present invention;
FIG. 5 is a schematic diagram of a data streaming media system according to the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
As shown in fig. 1, the intelligent scheduling high-definition integrated networking video monitoring system based on cloud computing of the present invention includes the following components:
(1) sensor access subsystem 1: the system comprises an access server, wherein the front-end equipment is connected to a data processing subsystem or the access server in an RTSP or SDK mode, so that the standardized access of a heterogeneous front-end sensor is realized for the calling of other modules; the access server detects the abnormality of the front-end sensor by monitoring the front-end sensor, and if the abnormality occurs, an alarm is started.
(2) The control scheduling subsystem 2: the system comprises a database server and a Web server, wherein the control scheduling subsystem interacts with a client in a signaling transmission mode and performs unified management and monitoring on the whole platform through a ZooKeeper;
(3) the data storage subsystem 3: the system comprises a data storage server array, a data processing unit and a data processing unit, wherein the data storage server array is used for storing video data and providing data calling requirements of tasks such as video playback and downloading;
(4) the data processing subsystem 4: the system comprises a data processing server, a data processing subsystem and a data processing subsystem, wherein the data processing server stores or transmits a processing result to the data streaming subsystem in a standard streaming media form by encoding and decoding video data;
(5) the data stream media subsystem 5: the system comprises a streaming media server, a real-time video viewing and video playback stream and a real-time video playing and playing back stream, wherein the streaming media server is used for providing the real-time video viewing and video playback stream through an RTSP streaming media service and providing the video playback stream through an HTTP streaming media service;
(6) the user terminal 6: the video server is connected with the data stream media server to realize video calling and playing;
(7) the front-end device 7: the system comprises one or more devices of an analog camera, a video acquisition card, an analog camera, a hard disk video recorder, a PC repeater, a network camera, a PC acquisition terminal, an embedded IPC high-definition camera, an embedded DVS or an analog camera.
Wherein, each component is detailed as follows:
1. sensor access subsystem
The work of incoming end is including connecting the front end sensor and providing unified interface, and the sensor equipment of support mainly includes: the system comprises an analog camera, a video acquisition card, an analog camera, a hard disk video recorder, a PC repeater, a network camera, a PC acquisition terminal, an embedded IPC high-definition camera, an embedded DVS, an analog camera or platform equipment and the like. The sensor end and the access end server interact through data stream and signaling stream, if an intelligent network camera is adopted, the data stream interaction is directly carried out with the data processing server, and the control server interacts with the access server through the signaling stream.
The data streams are uniformly transmitted to the video streaming media server for distribution through the access server and the output server after being accessed to the platform, and the function of viewing the same video data stream by multiple users is realized. For a sensor supporting the RTSP protocol, the video data stream may be directly transmitted to the processing server array through a Uniform Resource Locator (URL) address format. And for the sensor which does not support the RTSP protocol, accessing the sensor to an access server in an integrated SDK mode, and accessing the video data stream to the system after newly encoding the video data stream into the RTSP protocol. And the sensor terminal is a third-party video monitoring platform, and the URL is obtained through the SDK of the platform. If the third-party video monitoring platform does not support the RTSP protocol, the frame data can be obtained through the SDK of the platform and then encoded into the RTSP stream again.
The signaling flow of the access end completes the transmission of the control signals of various devices, and the control signals are uniformly distributed by the control server. For the network camera, the data control server controls the access server through the signaling flow, and the access server calls the SDK of the corresponding platform to control the network camera. For the third-party monitoring platform, the control server can control the access server to communicate with the corresponding platform by using the SDK through signaling, so that the URL of the corresponding camera is obtained.
2. Data storage subsystem
The storage system comprises a metadata management system and a data block storage server system. Fig. 2 shows a storage end system schematic.
The metadata management system is composed of a metadata management server array, coordinated scheduling is carried out by a control scheduling system through EXTRA25OFF, and network video streams of the data stream media system are stored as files according to a fixed size and then written into a data block storage server cluster; the data block storage server cluster provides storage space for the whole system, and the storage capacity of the system is expanded by loading the data block storage server.
The metadata management system and the data block storage server system form a massive cloud storage platform and are composed of general X86 architecture server hardware. Compared with the traditional storage area network, network attached storage and the like, the system has the characteristics of high reliability, simplicity, easiness in use, low energy consumption, high integration degree and high cost performance, and is suitable for application occasions of large-scale video data storage.
The metadata management system stores metadata information and is responsible for managing the whole storage system, and the system adopts a main metadata management system and a standby metadata management system to ensure uninterrupted service of the system.
The block data storage servers are responsible for the storage work of specific data blocks, all the data blocks are stored on each block data storage server in a file form, and the number of the block data storage servers directly determines the scale of the whole storage system.
The combination of the distributed cloud computing data processing system and the task control scheduling system can ensure efficient and stable reasonable distribution and execution of tasks in the cloud computing platform, and can completely solve the problem of single-point faults of the system, so that the platform can realize load balancing and automatic scheduling.
3. Data processing subsystem
In this embodiment, the data processing module performs unified scheduling management by ZooKeeper, which includes operations from access to processing, to storage, and the like. FIG. 3 depicts a workflow of a processing module;
the flow is that node operation is completed in a distributed architecture through a Zookeeper control coordinated processing service array, and coding and decoding operation, data identification processing operation and data analysis operation are carried out on data by processing nodes according to needs. The data can be written into the storage system in real time through the storage client after the data RTSP protocol conversion of the access server and the coding and decoding conversion of the processing server.
5. Data management subsystem
Fig. 4 is used to describe the architecture of the data control system, and the data management subsystem is an important part of the system and is used to control and coordinate the operation of other systems. The central scheduling module relates to equipment comprising: a database server, a Web server and a ZooKeeper scheduling control server. ZooKeeper is an open source code distributed application program coordination service, is an open source implementation of Chubby of Google, is an important component of Hadoop and Hbase, and is used as software for providing consistency service for distributed application, and the provided functions comprise: configuration maintenance, name service, distributed synchronization, group service, etc. The ZooKeeper aims to package complex and error-prone key services and provide a simple and easy-to-use interface and a system with high performance and stable functions for users.
The data control module is an important system for organically working all sub-modules of all coordination systems, a client initiates a request signaling, the request signaling is sent to the data control module, the data control module controls and schedules corresponding resources according to the specific request signaling, and a result signaling is fed back to the client after scheduling control is completed.
6. Data stream media subsystem
The subsystem is an important module of a video monitoring system, comprises a streaming media server cluster, and provides standard RTSP streaming media concurrent streaming service with balanced load by combining with Zookeeper. The module service of the streaming media service required by the user is provided by using the PISP protocol, the RTSP supports the provision of real-time video stream and callback video stream, and the user can obtain the required stored video stream data by using the RISP address. The streaming media module architecture is shown in fig. 5: when the mobile terminal is accessed to the local area network, the video stream data is directly transmitted to the mobile terminal through the streaming media module and the access intranet. When the mobile terminal accesses the 3G or 4G network, the video stream data flows out from the streaming media module and is connected to the mobile terminal in an Access Point (APN) mode through the public network.
7. User terminal
The method comprises the steps of mobile terminals (including system terminals such as iOS and Android). The function is to interact with the user and complete the transmission of the operation signaling, feedback information and data stream of the user and the platform end.
From the above, it can be seen that the functions of the present system mainly include:
1. multi-sensor terminal platform compatibility function
The system has an access digital or analog sensor terminal, and a third-party platform video stream is converted into a standard RTSP stream to be transmitted to the system at the access terminal by utilizing a Software Development Kit (SDK) of the sensor terminal.
2. Dynamic adjustment function for transmission of monitoring terminal
The system monitoring terminal comprises a mainstream mobile terminal (comprising system terminals such as iOS and Android), a streaming media server array is used for providing multi-channel video stream concurrent output for the monitoring terminal, and the monitoring terminal feeds back state signaling to the data control server to dynamically adjust the resolution of the video and call the ZooKeeper to control the data processing server to realize real-time transcoding, so that the public network transmission efficiency is improved.
3. Remote high-definition video monitoring function
The traditional monitoring system network is mainly connected into a local area network according to deployment cables, and a small number of the traditional monitoring system networks can carry out small-scale remote monitoring. The system utilizes the ZooKeeper to control and distribute the resources of each server, improves the transmission efficiency of the whole public network of the sensor terminal, and realizes remote video monitoring.
4. Common video data sharing functionality
The cloud storage server array is adopted to store the video stream data of the system, and the heterogeneous front-end sensor and isomorphic X86 architecture design is adopted, so that the system has strong storage capacity and flexible expansion capacity.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (5)
1. The utility model provides an intelligent scheduling high definition synthesizes network deployment video monitor system based on cloud calculates which characterized in that: the system comprises front-end equipment, a sensor access subsystem, a control scheduling subsystem, a data processing subsystem, a data storage subsystem, a data stream media subsystem and a user terminal,
the sensor is accessed into the subsystem: the system comprises an access server, wherein the front-end equipment is connected to a data processing subsystem or the access server in an RTSP or SDK mode, so that the standardized access of a heterogeneous front-end sensor is realized for the calling of other modules;
the control scheduling subsystem: the system comprises a database server and a Web server, wherein the control scheduling subsystem interacts with a client in a signaling transmission mode and manages and monitors through the control scheduling server;
the data storage subsystem: the system comprises a data storage server array, a data processing unit and a data processing unit, wherein the data storage server array is used for storing video data and providing data calling requirements of tasks such as video playback and downloading;
the data processing subsystem: the system comprises a data processing server, a data processing subsystem and a data processing subsystem, wherein the data processing server stores or transmits a processing result to the data streaming subsystem in a standard streaming media form by encoding and decoding video data;
the data stream media subsystem: the system comprises a streaming media server, a real-time video viewing and video playback stream server and a real-time video playing and playback stream server, wherein the streaming media server is used for providing real-time video viewing and video playback stream through an RTSP streaming media service;
a user terminal: the data stream media server is connected with the data stream media server and used for interaction of users and transmission of operation signaling, feedback information and data streams of the users and the platform end are completed;
the front-end equipment comprises one or more of an analog camera, a video acquisition card, an analog camera, a hard disk video recorder, a PC repeater, a network camera, a PC acquisition end, an embedded IPC high-definition camera, an embedded DVS or an analog camera.
2. The intelligent scheduling high-definition comprehensive networking video monitoring system based on cloud computing of claim 1, wherein: in the sensor access subsystem, an access server detects the abnormality of a front-end sensor by monitoring the front-end sensor, and if the abnormality occurs, an alarm is started.
3. The intelligent scheduling high-definition comprehensive networking video monitoring system based on cloud computing of claim 1, wherein: the data processing subsystem comprises a distributed cloud computing data processing system and a task control scheduling system.
4. The intelligent scheduling high-definition comprehensive networking video monitoring system based on cloud computing of claim 1, wherein: the data storage subsystem includes a metadata management system and a data block storage server system.
5. The intelligent scheduling high-definition comprehensive networking video monitoring system based on cloud computing of claim 1, wherein: the system is structured by adopting a mode of adding X86 standard servers and cloud video monitoring software, and each subsystem establishes a connection relation with the server through an INTERNET access or direct access mode.
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