Intelligent street lamp energy-saving control system based on artificial neutral network

An artificial neural network and energy-saving control system technology, applied in energy-saving control technology, biological neural network model, energy-saving lighting, etc., can solve problems such as low illumination

Active Publication Date: 2012-04-11
付志
View PDF5 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In many cases, it is only necessary to maintain a relatively low illuminance to meet people's dem

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
  • Intelligent street lamp energy-saving control system based on artificial neutral network
  • Intelligent street lamp energy-saving control system based on artificial neutral network
  • Intelligent street lamp energy-saving control system based on artificial neutral network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Embodiment 1: An intelligent street lamp energy-saving control system based on artificial neural network, including a sensor system, an energy-saving control system and a power controller, the output signal of the sensor system is connected to the input terminal of the energy-saving control system, and the output signal of the energy-saving control system The signal is connected to the power controller, and the sensor system includes an ambient light signal acquisition and processing module, an infrared signal acquisition and processing module and a sound signal acquisition and processing module; A network module; the artificial neural network module is composed of the forward algorithm of the artificial neural network BP algorithm and trained artificial neurons.

[0056] In a known environment, the sound, visible light, infrared light and other signals are collected by a special sensor and processed by a DSP chip, and then sent to the BP artificial neural network. The s...

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 an intelligent street lamp energy-saving control system based on an artificial neutral network. The intelligent street lamp energy-saving control system comprises a sensor system, an energy-saving control system and a power controller. An output signal of the sensor system is connected with an input terminal of the energy-saving control system; and an output signal of the energy-saving control system is connected with the power controller. Besides, the intelligent street lamp energy-saving control system is characterized in that: the sensor system includes environmental optical signal collection processing module, an infrared signal collection processing module and a sound signal collection processing module; the energy-saving control system consists of a DSP embedded system and an artificial neutral network module that is arranged in a DSP chip; and the artificial neutral network module is formed by a forward algorithm of an artificial neutral network BP algorithm and an artificial neuron that has been trained. According to the invention, according to peripheral environment situations of all street lamp illumination units, intelligent power control can be realized; and on the premise that an illumination requirement is met, energy consumption is effectively reduced.

Description

technical field [0001] The invention relates to a street lamp control system, in particular to an artificial neural network-based street lamp energy-saving control system. Background technique [0002] In recent years, with the rapid development of my country's economy, low energy efficiency and obsolete energy structure have become important problems in realizing sustainable economic and social development. [0003] At present, domestic street lighting sources generally use high-pressure sodium lamps, high-pressure mercury lamps and metal halide lamps. The commonly used power is 150W, 250W, 400W, and the most commonly used ones are 250W and 400W. [0004] At present, China's power supply and demand situation is grim. According to the data of "Developing Chinese Urban Lighting", the total number of street lamps in the country has reached tens of millions, and the total annual expenditure on road lighting has reached more than 5 billion yuan. Statistics from the Ministry 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
IPC IPC(8): H05B37/02G06N3/067
CPCY02B20/48Y02B20/40Y02B20/72
Inventor 陶智吴迪邵名巍张晓俊许宜申季晶晶
Owner 付志
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