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

Large intelligent light energy-saving control method based on wireless sensor actuator network

A wireless sensor, smart lighting technology, applied in energy-saving control technology, wireless communication, energy-saving ICT and other directions, can solve the problems of power consumption, lack of natural light, waste of resources, etc., to achieve the effect of improving communication efficiency

Active Publication Date: 2014-01-29
SOUTH CHINA UNIV OF TECH
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Large-scale underground garages usually have no natural light, use artificial lighting, install a large number of lamps, consume a lot of power resources, especially when there are no or only a small number of vehicles entering and leaving, a large number of lights are lit, resulting in waste of resources

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
  • Large intelligent light energy-saving control method based on wireless sensor actuator network
  • Large intelligent light energy-saving control method based on wireless sensor actuator network
  • Large intelligent light energy-saving control method based on wireless sensor actuator network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0094] For distributed state estimation in wireless sensor-actuator networks, consider the following state equation for a discrete linear time-invariant system:

[0095] X(k+1)=AX(k)+Bw(k), (1)

[0096] Among them, X(k) is the state variable of the system at time k, which are respectively the abscissa and ordinate of the car’s position, the abscissa and ordinate of the speed, A and B are matrices with appropriate dimensions, and w(k) is the mean is zero and the state noise with variance Q.

[0097] We use a wireless sensor network to measure the state variables of the system, and use the Kalman filter algorithm to make a one-step optimal prediction of the state of the system. At time k, when the vehicle is at s i When within the monitoring range, the corresponding measurement equation is:

[0098] Z i (k)=HX(k)+v(k), (2)

[0099] where Z i (k) is the sensor node s i For the measurement at time k, v(k) is the value with mean zero and variance R 0 Gaussian random noise. ...

Embodiment 2

[0135] This embodiment is the same as Embodiment 1 except for the following:

[0136] A large-scale intelligent lighting energy-saving control method based on a wireless sensor actuator network, mainly including the following steps:

[0137] Step 1: Initialize the state of each filter Error covariance matrix P i (0|-1)=P 0 , where i ∈ {1,2,...,N}. N is the number of nodes. Let i=1 be the initial cluster head node;

[0138] Step 2: Turn on the sensor node to detect the monitoring area, if the vehicle is in the current node s i Within the monitoring range of k, the measured value at time k can be obtained:

[0139] Z i (k)=HX(k)+v(k),

[0140] Otherwise, let Z i (k) = 0;

[0141] Step 3: Select the cluster head node and receive the state prediction value of the last cluster head node Error covariance matrix P(k|k-1);

[0142] The sensor node with measurement information sends its measurement information to the cluster head node, and after the transmission is comple...

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 provides a large intelligent light energy-saving control method based on a wireless sensor actuator network. The method comprises the following steps that 1, the filter parameters of sensor nodes are initialized; 2, a sensor is started, and a monitored area is detected; 3, fusion is carried out on different measurement information; 4, the gain of a filter is calculated, and the predicted value of the filter is updated; 5, corresponding operations are executed according to the predicted value of the current filter. A distributed cooperation estimation and control algorithm is adopted, each node can synergistically estimate the states of a vehicle according to the measurement information of each node by receiving the measurement information of the adjacent nodes, and a controller controls commands according to the states. Due to the fact that the vehicle is monitored in real time and light is controlled in real time, compared with a traditional illumination system, the method greatly reduces energy consumption, sector areas needing to be lightened are estimated according to Kalman forecast, the luminance of the light is controlled, energy is saved, and user-friendly comfort is achieved.

Description

technical field [0001] The invention relates to an intelligent lighting control technology of a wireless sensor actuator network, in particular to a large-scale intelligent lighting energy-saving control method based on a wireless sensor actuator network. Background technique [0002] Large-scale underground garages usually have no natural light, use artificial lighting, install a large number of lamps, consume a lot of power resources, especially when there are no or only a small number of vehicles entering and exiting, a large number of lights are lit, resulting in waste of resources. In order to achieve the purpose of energy saving and emission reduction, it is necessary to develop an intelligent lighting control system, which can reasonably schedule the lights according to the actual situation to reduce energy consumption. The wireless sensor actuator network has the characteristics of low power consumption, low cost, distribution and self-organization, which can effecti...

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): H05B37/02H04W84/18
CPCY02B20/48Y02B60/50Y02B20/40Y02D30/70
Inventor 刘永桂潘创胥布工高焕丽李伯忍
Owner SOUTH CHINA UNIV OF TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com