Chemical industrial park visual identification application system based on artificial intelligence technology
A visual recognition and artificial intelligence technology, applied in closed-circuit television systems, components of television systems, electrical transmission signal systems, etc., can solve the problems of insufficient manpower on duty, use of data resources, difficulty in alarming events, etc., to improve comprehensive management level, facilitate personnel allocation, and solve hidden dangers
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Embodiment 1
[0045] The visual recognition application system of the chemical industry park based on artificial intelligence technology, including:
[0046] An algorithm-hosting server carrying the smoke and flame recognition algorithm recognition model, the personnel off-site recognition algorithm recognition model, the personnel intrusion recognition algorithm recognition model and the tooling recognition algorithm recognition model,
[0047] a platform server carrying visual recognition applications,
[0048] Sensors for real-time acquisition of pollution in various chemical warehouses and transmission to visual recognition applications,
[0049] Cameras used for video surveillance of personnel working areas, safety restricted spaces and various chemical warehouses and transmitted to visual recognition applications,
[0050] Sound and light alarms located in various areas of the park for alarming abnormal conditions,
[0051] Among them, visual recognition applications include:
[00...
Embodiment 2
[0067] This embodiment is a workflow based on the visual recognition application of Embodiment 1, including the following steps:
[0068] S1. The cameras in the park upload the shooting content to the visual recognition application in real time, and the visual recognition application recognizes and judges the shooting content by calling the algorithm server recognition model;
[0069] S2. After the recognition model recognizes the early warning situation, the sound and light alarm will give an alarm;
[0070] S3. The on-duty personnel in the park conduct offline verification, and if everything is normal after verification, fill in the processing situation through the early warning and alarm record module;
[0071] S4. If there is indeed a risk problem, notify the enterprise to deal with it, and notify the grid staff in charge of the enterprise to track and monitor;
[0072] S5. If the risk problem has not been effectively dealt with or the risk problem has been upgraded, repe...
Embodiment 3
[0074] This embodiment is another application scenario based on the visual recognition application of Embodiment 1, including the following steps:
[0075] S1. The system administrator uses the early warning prediction module to query the various early warning situations of the chemical warehouse in each time period in the next 15 days (smoke and flame identification, personnel intrusion, personnel off duty, personnel sleeping on duty, personnel not wearing safety helmets, personnel not wearing safety clothing) ), the probability of occurrence of each period is 3 hours;
[0076] S2. After the system administrator obtains the output results of the early warning and prediction module, he completes the personnel arrangement for the key period of the chemical warehouse through the enterprise on-duty reporting module, so as to minimize the economic losses caused by untimely early warning processing and unreasonable personnel deployment;
[0077] S3. The camera in the chemical wareh...
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