Business / personal data storage

The stored data shall be safe and reliable. There must be corresponding treatment and preventive measures for data damage or loss that may be caused by various natural, technical and social factors. Save storage space. Computer storage should adopt scientific coding system to shorten the code required for the same information, so as to save space. Information storage must meet the needs of convenient and rapid access, otherwise it will bring inconvenience to the use of information. Computer storage should organize data scientifically and reasonably according to the information itself and the logical relationship between them.

Customer demand

Reliable storage and lightweight management of massive data

The full range of subway monitoring scale often reaches tens of thousands of roads, and the monitoring picture is developing towards high-definition quality. It puts forward the demand for Pb to EB level larger storage capacity for back-end storage. Ensuring the safety and reliability of video data is the core requirement for the storage system. Storage space should be effectively deployed and managed, and the workload of maintenance and management should be minimized.

The practicability of video surveillance information is not strong

A large number of real-time monitoring videos cannot be displayed comprehensively and all the time through the display, and safety problems cannot be found in time, affecting the safe operation of rail transit. The existing rail video monitoring system can only trace the safety events that have occurred afterwards, which is difficult to prevent and intervene in advance, can not give full play to strong practical benefits, and can not effectively ensure the safe operation of rail transit system.

Intelligent analysis of video data

The video intelligent analysis module will obtain video data from cloud storage in real time during video monitoring, and analyze key videos in detail. In the case of a large amount of video data, the data analysis engine algorithm is difficult to process, the effective utilization of data is insufficient, and it is difficult to give full play to the value of data.

Scheme introduction

The track monitoring video cloud solution provides open interfaces to meet diversified needs. The cloud storage system provides the scheduling of storage resources through S3 protocol, and meets the requirements of video monitoring management and monitoring video analysis through rich scenario APIs. The video storage in the scheme adopts the streaming direct storage technology without additional streaming media storage and forwarding server. Since there is no bandwidth limitation of the front-end video server, cloud storage can support more video streams. The cloud storage system saves the master data and metadata of video and pictures at the same time. The metadata content can be changed flexibly according to business needs. Combined with the retrieval function of custom tags, cloud storage and AI applications can be deeply integrated to realize in-depth analysis and structured processing of video. The built-in intelligent data processing engine of the cloud storage system realizes data management capabilities such as face recognition, escalator abnormality, personnel density and passenger flow statistics, which can improve the data processing efficiency of AI applications and realize the intelligent upgrading of video monitoring.

Customer value

EB class super large capacity, elastic expansion

Fully distributed architecture, flexible expansion, EB level capacity and 10 billion level file scale meet the requirements of high concurrent storage and low delay reading and writing of massive HD video, and the storage space and performance can be linearly expanded.
Video stream direct storage, equipment reuse, multi-dimensional and cost reduction

The cloud storage server has built-in streaming media service, and the video stream direct storage function eliminates the single streaming media server, realizes the clustering of streaming media services, reduces bandwidth occupation and saves resource investment. Support the management of traditional NAS devices, provide unified storage space for applications, and protect existing investments.
Intelligent data processing improves business efficiency and reduces accident risk

The built-in intelligent data processing engine can process written videos and pictures in real time, including image analysis, watermark processing, video processing and other intelligent processing and analysis functions. It can realize video structured data processing services such as face recognition, escalator abnormality, personnel density and passenger flow statistics through open API access algorithm, so as to improve the early warning processing speed of accidents, Simplify the processing flow of the application.
Multi site disaster recovery, multi-level data protection

Through the capabilities of large-scale correction and deletion, multiple copies and multiple versions of files, it provides multi-dimensional data protection strategies to ensure business continuity. Through multi site deployment, it realizes multi location disaster recovery and improves the level of data security.

EB class super large capacity, elastic expansion

Video stream direct storage, equipment reuse, multi-dimensional and cost reduction

Intelligent data processing improves business efficiency and reduces accident risk

Multi site disaster recovery, multi-level data protection