Operation and maintenance management platform and method based on unstructuredstreaming videomanagement system
An operation and maintenance management platform and video management technology, applied in the field of operation and maintenance management platform based on unstructured streaming video management system, can solve problems such as simple and old maintenance tools, unclear fault handling nodes, and messy fault event management
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Embodiment 1
[0033] Such as figure 1 As shown, in one embodiment, based on the operation and maintenance management platform of the unstructured streaming video management system, the operation and maintenance management platform based on the unstructured streaming video management system includes a video quality diagnosis unit, a network management unit, and a storage management unit , an intelligent diagnosis terminal and an easy maintenance management platform; the video quality diagnosis unit diagnoses the video quality of the video surveillance system, the front end of the network management unit is connected to the video surveillance system, and the storage management unit stores the video information of the video surveillance system Management, the intelligent diagnostic terminal is used for network and power supply diagnosis of the video surveillance system, the video quality diagnostic unit, network management unit, storage management unit, and intelligent diagnostic terminal recei...
Embodiment 2
[0054] Such as image 3 As shown, the operation and maintenance management platform based on the unstructured streaming video management system is composed of five modules: easy maintenance system, network management, video diagnosis, 365 storage manager, and intelligent diagnosis terminal, which can be used independently or integrated. The operation is simple and flexible.
[0055] In this embodiment, the intelligent diagnosis terminal refers to an intelligent fault diagnosis device used for environmental power detection.
[0056] The video quality diagnosis unit performs real-time automatic detection of digital video signals by means of polling, adopts advanced self-adaptive learning and computer vision technology, simulates the human visual system, and detects snowflake noise, signal loss, color loss, and picture quality in video images. Make accurate judgments on common video quality problems such as freezing, screen occlusion, screen shift, screen color bars, screen colo...
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