Intelligent identification grading processing system of coal mine image monitoring system

Abstract

The invention discloses an intelligent identification grading processing system of a coal mine image monitoring system, comprising the following steps: a video server which is internally provided withan AI automatic analysis processing system, wherein the video server is connected with a monitoring system through a signal line, and an AI processing program does not need manual intervention; unsafe behaviors of people or an unsafe state of equipment operation can be automatically identified, and safety production accidents can be effectively prevented; a 4G integrated service exchange scheduling module connected to the monitoring system and the underground industrial looped network through a wireless network; and an intrinsic safety base station, wherein the industrial looped network is connected to the intrinsic safety base station through a signal line. According to the invention, a large amount of security data is intelligently processed, the storage time is longer, manual processing analysis is AI intelligent analysis, the working mode of calling monitoring afterwards is on-site real-time processing, hidden danger omission is greatly reduced, and the accident timely early warning capability is improved.

Description

Technical field[0001]The invention relates to the technical field of coal mine image monitoring systems, in particular to an intelligent identification and classification processing system of a coal mine image monitoring system.Background technique[0002]The existing coal mine image monitoring system can only perform video recording, storage and query functions. The query function can only call the recording of the accident after the event, manual investigation, low efficiency and large data volume (usually, a camera continuously records For 24 hours, about 0.3G-0.5G of hard disk capacity is required, and the maximum time limit requires storage for 1 month. In general, at least 16 channels of video recording in general mines, 8G data per day, 240G data per month), and cannot be performed in time Effective early warning. After the accident, it was difficult to call the video in a timely and accurate manner due to the large amount of video information. Multi-channel data was uploaded t...

AI Technical Summary

Problems solved by technology

[0003] The prior art has the following difficulties: 1. A large number of hard disks are required to store data, the data storage period is short (only one month), and the cost is high

[0004] 2. A large amount of data needs to be uploaded to the higher-level security authority. There are many useless data and a large amount of transmission, which brings a huge rental fee to the enterprise and occupies a large number of public network data channels, which is extremely uneconomical

[0005] 3. The processing of data requires manual processing, the amount of monitoring data is large, the efficiency of manual processing is low, and it is uneconomical

The data processing cannot be timely warned, and can only be called after the fact. A large number of potential safety hazards may be ignored, which will bring hidden dangers to safe production.

Images