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For monitoring storage, different application environments and different front-end devices correspond to different solutions. High-definition monitoring storage is not the same in all environment applications. Simply put, in the case of deployment of high-definition probes, the back-end storage solutions are also very different. In this issue, I will tell you the "hardware" requirements of HD storage and Key areas of high-definition storage program features.
HD storage requirements for hardware and software devices
Before analyzing high-definition storage solutions, you must first understand the requirements for deploying high-definition storage solutions for hardware and software devices. No matter which solution, these hard rules are indispensable. As we all know, monitoring storage needs to meet 7*24 hours of uninterrupted recording, so reliable stability is a prerequisite for storage devices and high-definition storage devices. High-definition monitoring applications have a great influence on bandwidth, data processing capacity, and cache, and require the storage system to optimize the performance of multiple concurrent write monitoring applications. In the case of retrieval of image information and video retrieval afterwards, the phenomenon of “supervisory airspace†does not occur with good stability.
Stable, high-performance HD storage is the primary condition, so good compatibility is the second largest element of the system. In the entire monitoring system, the monitoring storage device serves as a bridge for communication between the "middle end" devices; there is a surveillance camera before and a platform control system afterwards, especially when deploying large-scale storage solutions such as Safe City, good compatibility plays an important role. The role. As industry insiders said, "A good storage system should have the ability to be inclusive, that is, the ability to share and be compatible with social resources while having application capabilities."
Not only that, but for the different encoding and decoding methods of the front-end device, the storage devices must all be "smiled." Different compression formats such as H.264, MPEG4, and MJPEG also exhibit different picture quality, which explains why different hard disk video recorders present different data such as D1 and 4CIF.
Finally, since it is high-definition storage, the amount of storage of massive data cannot of course be vague. Depending on the bitstream of the image, the amount of stored data is also very different. In particular, under high-definition storage, the transmission rate is 25 frames/second, and after H.264 compression, the code stream is also above 4 Mb/s, so all HD video will generate more than 2G per hour; if it is in the Pingcheng project team, When hundreds of probes are available, how can we bear heavy responsibility if we do not have a huge amount of memory?
Safe City and Financial HD Storage Solutions
The same is true for high-definition storage solutions. There are also "divergences" in unused applications. In the safe city project, a large number of high-definition cameras access monitoring centers of all levels. If a large number of NVR storage devices are deployed, it is difficult to manage and increase the construction cost; therefore, the scheme of SAN storage using IP networks becomes the first choice, and IP high-definition cameras are connected by server networks. Based on the characteristics of IP SAN, this mode can achieve capacity expansion and performance improvement through cascading and stacking, and achieve centralized and decentralized management.
The monitoring and storage at the city-network level brings a lot of pressure to servers and local storage. Therefore, as IT technology continues to infiltrate, cloud storage is gradually applied to monitoring storage, and a large number of storage devices are grouped together to work together to achieve resources. Sharing and utilization, providing a higher performance service interface to the outside world. The storage method can effectively solve the technical disadvantages of large-stream video data writing, large data capacity storage, and diversified multi-level services.
In the field of entry, of course, the IPSAN mode can also be used, but bank outlets are more than city management, so small NVR devices become the first choice for high-definition monitoring. Simply put, the monitoring and storage in the financial sector is divided into two major parts. The data monitoring center adopts the IPSAN network mode, which can store a large number of high-definition video data files. It can support the high-speed IO and high-bandwidth access requirements of the intelligent analysis platform and can be easily implemented. Capacity expansion in the later period; each monitoring point deploys NVR storage devices, reduces costs, and meets regional management service requirements.
In summary, despite the deployment of high-definition monitoring, the two have adopted different solutions for the consideration of cost and actual needs, which also allows us to further understand the significance and features of high-definition monitoring storage. For the requirements of high-definition storage devices, there may be more content worthy of our study, hoping to be small, let everyone understand more high-definition, multi-angle understanding of high-definition monitoring of the story.
When the video surveillance market strides toward high-definition, “HD†also opens its arms and welcomes the storage system to move closer to HD. Faced with the application of large-scale high-definition monitoring systems, monitoring storage devices play an important role in the system: first, to ensure that image information is stored in real time; second, to ensure that image information is not lost, to ensure data security; Third, the storage device Provide enough space to meet large amounts of data. Obviously, in the high-definition monitoring system, in addition to the front-end network surveillance camera (IPC), the storage device assumes the role of the role of protection and data space capacity for data security, reliability, and stability.