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

A Universal Mobile Perception and Prediction Method for Regional Environmental Information

A technology of environmental information and forecasting methods, applied in forecasting, data processing applications, instruments, etc., can solve problems such as waste of resources, high cost, and many redundant nodes, and achieve the effect of saving costs

Active Publication Date: 2022-07-26
NANJING UNIV OF POSTS & TELECOMM
View PDF2 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 solve the problems of many redundant nodes, waste of resources, and high cost caused by a large number of fixed wireless sensor networks. problem, also taking into account the error of collecting environmental information at different times

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 Universal Mobile Perception and Prediction Method for Regional Environmental Information
  • A Universal Mobile Perception and Prediction Method for Regional Environmental Information
  • A Universal Mobile Perception and Prediction Method for Regional Environmental Information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The technical solutions of the present invention will be further described in detail below with reference to the accompanying drawings.

[0047] A universal movement perception and prediction method for regional environmental information, comprising the following steps:

[0048] Step 1: Use the existing measured environmental data in the cloud database, and use the method of regionalized random variable analysis to analyze the space and structure of these data, and obtain the expressions of covariance and variogram functions.

[0049] In the step 1, in the existing measured environmental data, if there are two data of the same type in the same longitude and latitude, the data closest to the time point to be predicted needs to be selected.

[0050] The step 1 includes the following sub-steps:

[0051] Step 1-1: The target area that needs to detect environmental information is M, and the y in the target area M is i The measured environmental data value collected at A(y ...

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

A universal mobile sensing and forecasting method for regional environmental information, which uses mobile sensing nodes to collect data and transmits it to the cloud server; Then use the improved stochastic L-BFGS algorithm to improve the Kriging algorithm, and use this algorithm to carry out universal regional environmental information spatial prediction, and obtain the spatial prediction results of environmental information; use the shared The relationship between the time and space of the environmental data collected by the bicycle is used for spatio-temporal prediction and analysis, and the spatio-temporal prediction result of the target area is obtained. Finally, the final regional global environment prediction result map is synthesized based on the different prediction results of time and space.

Description

technical field [0001] The invention relates to the field of data interpolation methods, in particular to a universal movement perception and prediction method for regional environmental information. Background technique [0002] Ecological environment information is very important in environmental protection: it is very important for environmental scientific research; it is very important for energy conservation and emission reduction; it is very important for urban planning and deployment. The current way to collect environmental information is to arrange a large number of sensor nodes in the target area to monitor the ambient air quality. The wireless sensor network is easy to deploy and can monitor a wide range of areas, so it can be effectively monitored in areas with difficult power supply and areas that are difficult for humans to reach. However, a large number of wireless sensor nodes are arranged in cities, which will cause problems such as redundant nodes, waste o...

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): G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26
Inventor 孙力娟蒋涵铭沈澍
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