Driving behavior anomaly detection method and device and industrial equipment

A technology for anomaly detection and industrial equipment, applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as uncertainty, manual inspection that cannot be supervised by a large number of personnel, time lag, etc., and meet the norms Effects of driving behavior, ensuring construction safety, and improving work efficiency

Active Publication Date: 2019-11-12
ROOTCLOUD TECH CO LTD +4
View PDF10 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the way of conscious maintenance largely depends on the quality of the driver itself, which has great uncertainty
At the same time, the manual inspection method is often unable to supervise a large number of personnel, which is prone to time lag

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
  • Driving behavior anomaly detection method and device and industrial equipment
  • Driving behavior anomaly detection method and device and industrial equipment
  • Driving behavior anomaly detection method and device and industrial equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0037] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0038] It should be noted that relative ter...

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 embodiment of the invention provides a driving behavior anomaly detection method and device and industrial equipment, and relates to the technical field of industrial control. According to the method and the device, video information of a driver and working condition information of industrial equipment are acquired, operation behavior characteristics of the driver are obtained according to thevideo information, and according to the working condition information, the workflow characteristics of the industrial equipment are obtained, and then characteristic fusion is performed on the operation behavior characteristics and the workflow characteristics to obtain the driving behavior characteristics of the driver, thereby obtaining a driving behavior detection result by utilizing a pre-established first neural network according to the driving behavior characteristics. Therefore, the driving state of the driver is monitored by combining the operation behavior of the driver and the working condition information of the industrial equipment, the driving behavior of the driver can be standardized, the construction safety is guaranteed, and the working efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of industrial control, in particular to a method, device and industrial equipment for abnormal driving behavior detection. Background technique [0002] In the process of modern construction operations, almost all kinds of mechanical equipment are used, such as excavators, pumps, transport vehicles, etc. Different mechanical equipment will face different working conditions during the operation process, and the operating procedures used by the drivers for mechanical equipment under different working conditions are also different. Therefore, during the construction process, the driver's ability to timely adopt operations that are consistent with the current workflow plays a vital role in the operation safety of mechanical equipment, and can also greatly improve the production efficiency of operations. [0003] At present, to standardize the driving behavior of drivers on the construction site, it is m...

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): G06K9/00G06K9/46G06K9/62
CPCG06V20/597G06V10/40G06F18/253
Inventor 郑雷刘晓宁周子怡
Owner ROOTCLOUD TECH CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap