Method for realizing illegal safety supervision of oil unloading operation of gas station based on AI identification

A gas station and operation technology, applied in character and pattern recognition, electromagnetic audible signals, instruments, etc., can solve the problems of single alarm form, violation of safety supervision, and inability to use algorithm resources, etc., to achieve flexible arming and disarming, and save human resources , The effect of rational use of algorithm resources

CN111932708AInactive Publication Date: 2020-11-13SICHUAN HONGHE COMM CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2020-11-13
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a method for realizing illegal safety supervision of oil unloading operation of a gas station based on AI identification. The method comprises the steps of S1 collecting a video image of an oil unloading region of the gas station through a monitoring system, obtaining real-time video stream data, and transmitting the real-time video stream data to an algorithm platform subsystem; S2 performing algorithm analysis and AI identification on the acquired real-time video stream data by using the algorithm platform subsystem to obtain an oil unloading region identification result, and storing the oil unloading region identification result in a data storage module; S3 judging whether the oil unloading region identification result is illegal operation or not through the algorithm platform subsystem; if not, returning to S1; if so, triggering early warning , broadcasting early warning information in real time, and meanwhile pushing the early warning information to a client; and S4 enabling field staff or management staff to deal with the violation operation in time.
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Description

technical field

[0001] The invention relates to the field of artificial intelligence in the field of computers, in particular to a method for realizing illegal safety supervision of unloading operations at gas stations based on AI identification. Background technique

[0002] Prior art CN110456723A discloses a safety management and control system for unloading area of ​​gas stations based on deep learning, which uses artificial intelligence to warn violations in the unloading process, and the specific implementation of the alarm is to notify the customer after the algorithm recognizes the violation end. The alarm method is relatively simple. During the unloading period, the management personnel of the gas station need to wait by the client all the time to know the violation information in time, which is not conducive to improving the work efficiency of the gas station personnel to a certain extent. The arming and disarming of various algorithms has not been flexibly configu...

Examples

Embodiment

[0034] The present invention is a method for realizing illegal safety supervision of unloading operations at gas stations based on AI identification, including:

[0035] S1: Use the monitoring system to collect video images of the unloading area of ​​the gas station, obtain real-time video stream data, and then transmit the real-time video stream data to the algorithm platform subsystem;

[0036] S2: Use the algorithm platform subsystem to perform algorithm analysis and AI identification on the acquired real-time video stream data, obtain the identification result of the oil unloading area, and store it in the data storage module;

[0037] S3: Use the algorithm platform subsystem to judge whether the identification result of the oil unloading area is an illegal operation; if not, return to S1; if so, trigger an early warning and broadcast the early warning information in real time, and push the early warning information to the client;

[0038] S4: The on-site staff or manageme...