Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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

Inactive Publication Date: 2020-11-13
SICHUAN HONGHE COMM CO LTD
View PDF9 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the prior art oil unloading operation has a relatively single alarm form for violations, and the algorithm resources cannot be effectively used according to actual needs. After violations occur, only the staff of this station know, and the upper management of the company Managers cannot be informed in a timely manner and other problems, the purpose is to provide a method based on AI identification to realize the safety supervision of unloading operations at gas stations, and solve the problems encountered in the above-mentioned background technology

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for realizing illegal safety supervision of oil unloading operation of gas station based on AI identification
  • Method for realizing illegal safety supervision of oil unloading operation of gas station based on AI identification
  • Method for realizing illegal safety supervision of oil unloading operation of gas station based on AI identification

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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.

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G07C1/20G08B3/10G06K9/62G08B25/08
CPCG07C1/20G08B3/10G08B25/08G06F18/214
Inventor 陈友明
Owner SICHUAN HONGHE COMM CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products