Petrol station oil-unloading area safety control system based on deep learning

A technology of security management and deep learning, applied in general control systems, control/regulation systems, program control, etc.

Inactive Publication Date: 2019-11-15
成都睿晓科技有限公司
View PDF5 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a deep learning-based safety management and control system for the unloading area of ​​the gas station to solve the problems of standard detection and safety control of the staff in the unloading area

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
  • Petrol station oil-unloading area safety control system based on deep learning
  • Petrol station oil-unloading area safety control system based on deep learning
  • Petrol station oil-unloading area safety control system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] The embodiment of the present invention relates to a safety management and control system for the unloading area of ​​a gas station based on deep learning. Standardize the detector GJ, display of oil unloading status and alarm ZG, the specific system logic composition is as follows figure 1 As shown, the main business process is as figure 2 shown.

[0042] 1) Collection camera XC in oil unloading area: used to collect video information and images of a specific oil unloading ...

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 petrol station oil-unloading area safety control system based on deep learning. The system comprises an oil-unloading area collection camera XC, a vehicle access detector CJ,a personnel real-time tracker RG, an oil-unloading state detector XJ, an oil-unloading operation specification detector GJ, and an oil-unloading state display and alarm ZG. The full-automatic, full-flow, and high-precision vehicle access detection, the personnel real-time tracking, the oil-unloading state detection and the oil-unloading operation specification detection at the petrol station oil-unloading area can be realized based on the standard oil-unloading flow and the safety control specification of the petrol station oil-unloading process, a video stream obtained by overlapping the oil-unloading state detection and the oil-unloading operation specification detection result is used for monitoring in real time/tracing the oil-unloading flow after event; the violation alarm information is output so as to record the worker and the oil-unloading operation specification detection result thereof, thereby solving the action specification detection and safety control problem of the worker at the oil-unloading area.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence and intelligent monitoring, in particular to a deep learning-based work safety management and control system for an oil unloading area. Background technique [0002] In gas stations where fire hazards need to be guarded against, the unloading area is an area that requires special attention. Generally, gas stations will install surveillance cameras in this area. Surveillance cameras operate 24 hours a day, and gas station managers need to check the cached surveillance video to inspect the implementation of safety management in the oil unloading area and the unloading operation specifications of the unloading personnel. [0003] In order to ensure the safety of the oil unloading area, generally only staff are allowed to enter the oil unloading area and non-tank vehicles are not allowed to enter. According to gas station regulations: gas station staff have uniforms of corresponding ...

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): G05B19/048
CPCG05B19/048
Inventor 吴晓肖赣涛何俊彦彭强曾昭瀚张蕾
Owner 成都睿晓科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products