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

A Temperature Monitoring Method for Wireless Sensor Networks Based on Improved Kriging Algorithm

A wireless sensor network and wireless sensor technology, applied in thermometers, wireless communications, thermometer parts, etc., can solve the problems of short network survival time and insufficient temperature field accuracy, and achieve more scientific prediction results and scientific interpolation results Effect

Active Publication Date: 2020-02-21
NANJING UNIV OF POSTS & TELECOMM
View PDF5 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 defects that the accuracy of the temperature field generated by the monitoring of the existing wireless sensor network is not high enough, and the network survival time is relatively short

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 Temperature Monitoring Method for Wireless Sensor Networks Based on Improved Kriging Algorithm
  • A Temperature Monitoring Method for Wireless Sensor Networks Based on Improved Kriging Algorithm
  • A Temperature Monitoring Method for Wireless Sensor Networks Based on Improved Kriging Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0053] The technical scheme proposed by the invention first obtains initial data through wireless sensor network monitoring, then transmits to base station nodes, and then submits to a monitoring host. The host machine imports the data, and uses the regional variable analysis method to analyze the structural variation of the initial temperature data, and uses an improved Nelder-Mead simplex method to optimize the semivariogram model; Likin weights, and then use the cross-validation method to correct model parameters and perform error compensation on interpolation errors to improve interpolation accuracy; finally output the temperature field map, and store the temperature value and corresponding position information in the database for further queries in the future to offer comfort.

[0054] Concrete implementation proce...

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 temperature monitoring method for a wireless sensor network based on an improved Kriging algorithm. Firstly, a layer-cluster wireless sensor network topology structure is established, and historical temperature data of a target area are analyzed, and a threshold ρ and a fusion period T are set. Then at the cluster head node, based on the threshold value ρ, the data of the nodes in the cluster are periodically fused to obtain the initial temperature data, which is transmitted to the local database stored in the monitoring host through the wireless link; the initial data is exported, and the variation structure analysis is performed on it. Generate the variation function expression; use the improved Nelder-Mead simplex method to optimize the variation function model, design the regular grid terrain, use the ordinary Kriging algorithm for temperature interpolation, perform error correction, and output the regular grid temperature field map. The invention optimizes the variation function model by using the improved Nelder-Mead simplex optimization method, corrects the weight of the ordinary kriging algorithm, and compensates the error of the interpolation result, so that the interpolation result is more scientific and closer to the actual situation.

Description

technical field [0001] The present invention relates to a temperature monitoring method based on wireless sensor network (Wireless Sensor Networks, WSNs) technology, in particular to a temperature monitoring method of wireless sensor network based on improved kriging algorithm. Background technique [0002] Temperature data is very important information in daily life, industrial and agricultural production, and scientific research, especially in environments such as grain depots, greenhouses, and forests, where temperature monitoring and control is more important. Wireless sensor network is one of the commonly used monitoring technologies. It overcomes the shortcomings of traditional monitoring methods such as single method, poor timeliness and flexibility. However, due to the limitation of the deployment density of sensor nodes, the accuracy of the temperature field map generated by the monitoring system based on limited sampling point data is poor, which cannot meet some ...

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 Patents(China)
IPC IPC(8): H04W84/18G08C17/02G01K1/02G16Y20/10G01K1/022
CPCH04W84/18G06F16/90G08C17/02G16Z99/00G01K1/02
Inventor 郭剑陈光韩崇瞿佳雯刘林峰
Owner NANJING UNIV OF POSTS & TELECOMM
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