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

A manufacturing data sensing method for optimizing sensor node deployment

A sensor node and data perception technology, applied in the field of data perception in manufacturing IoT, can solve problems such as complex electromagnetic environment, dynamic and changeable manufacturing resources, and physical space constraints

Inactive Publication Date: 2019-04-30
东莞市巨冈机械工业有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the problems existing in the prior art, provide a sensor node deployment that can solve the problems of deployment positioning and perception under the constraints of physical space constraints, complex electromagnetic environment, dynamic and changeable manufacturing resources and other factors, and realize rapid optimization. manufacturing data-aware approach

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
  • A manufacturing data sensing method for optimizing sensor node deployment
  • A manufacturing data sensing method for optimizing sensor node deployment
  • A manufacturing data sensing method for optimizing sensor node deployment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention is further described in conjunction with the following examples.

[0028] The manufacturing data perception method for optimizing sensor node deployment includes the following steps.

[0029] In the step of constructing an obstacle model, a plurality of sensors are deployed in the scene to be tested according to preset deployment indicators, and obstacles in the scene to be tested are scanned, and an obstacle model is constructed accordingly. Specifically, divide multiple obstacle areas Ω according to the obstacle type and / or size and / or spatial distribution in the scene to be tested j , each obstacle area Ω j Take different electromagnetic interference weights σ i . Wherein, the deployment index specifically includes communication capacity load balance index and coverage redundancy.

[0030] Communication capacity load balance index: preset each obstacle area to be tested Ω j Probability weight β of label existence in medium, assuming a senso...

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 relates to the technical field of data perception in Internet of Things manufacturing, in particular to a manufacturing data perception method for optimizing sensor node deployment. A plurality of sensors are deployed in a to-be-tested scene according to preset deployment indexes, obstacles in the to-be-tested scene are scanned to construct an obstacle model, and a set weight function is obtained through combination. After preliminary perception is carried out on an actual scene to be detected, modeling is carried out based on dynamic pattern recognition; sensor node deployment is adjusted, a three-dimensional dynamic mode spatial model is established according to the physical spatial feature of the to-be-tested scene, and the adjusted sensor node deployment is simulated in the three-dimensional dynamic mode spatial model until the sensor node optimization level reaches a preset value in the preliminary perception step. The manufacturing data sensing method for optimizingthe sensor node deployment can solve the problems of deployment positioning, sensing and the like under the restrictions of factors such as physical space constraint, complex electromagnetic environment and dynamic and changeable manufacturing resources, and realizes quick and optimized sensor node deployment.

Description

technical field [0001] The invention relates to the technical field of data perception in manufacturing IoT, in particular to a manufacturing data perception method for optimizing sensor node deployment. Background technique [0002] As the core technology of Industry 4.0, manufacturing Internet of Things is attracting the attention of the industry. It integrates electronic information technology such as network, embedded, RFID, sensors and actuators with manufacturing technology to realize dynamic perception, intelligent processing and optimal control of manufacturing resources and information resources in the process of product design, manufacturing and service. New manufacturing mode and information service mode. Through the distributed collaboration of sensing devices (RFID, sensors, etc.) Various entities in the workshop have the ability to perceive, query and monitor each other, optimize the dynamic perception, intelligent processing and optimal control of product ma...

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
IPC IPC(8): H04W4/38H04W16/20H04W16/22H04W28/08
CPCH04W16/20H04W16/225H04W28/08H04W4/38
Inventor 胡俊敏简志贤陈秋发冯磊罗旭忠
Owner 东莞市巨冈机械工业有限公司
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