Research And Application Of Network Measurement And Control Technology In LED Lighting System

As a big developing country, various aspects are rapidly rising, and especially, energy strategy is important. Because of power consumption and long life, LED highlights its advantages in terms of energy saving. In this trend, LED will become the main force in the lighting market, with continually reducing the cost and breaking the bottleneck of LED lighting technology.Firstly, this paper describes and analyzes the technologies of intelligent lighting systems, and then analyzes and compares different control ways of intelligent lighting system. Finally, LED intelligent lighting system is proposed on the basis of the overall design, doing a simple analysis of the design and plan.This paper is a study of intelligent LED lighting controller. Firstly we give a hardware block diagram of the intelligent controller, and then introduce the hardware design of the controller in sub-module. Intelligent LED Lighting Dimmer is divided into five modules: control module, PWM module, measuring feedback module, wireless data receiver module and LED driver power supply module. LED drive power module is responsible for meeting the requirements for voltage and current, while making sure of constant stability of the current, avoiding the device chip damage by inrush current; PWM output module is responsible for three primary flux (light intensity), which is that adjust the three each shade on the CIE chromaticity coordinates of the position of the table to meet requirements of different light mixing; control module is made for controlling the PWM pulse output, in order to meet the user’s brightness, color temperature setting, process the feedback signal, and correct output indicators; measurement feedback module feedbacks the temperature of the circuit, light intensity of the three primary colors of each chip, and two illumination to the control system for correcting the output target; wireless data receiving module is responsible for receiving the main controller came command and data frames. Software design of the LED intelligent controller includes the two core algorithms: multi-sensor data acquisition program and the program of brightness and color temperature adjustment. The paper introduces the software design process of the temperature sensor, color sensor and light sensor. We analyze traditional PWM dimming algorithm, and propose an average PWM pulse segmentation algorithm which can greatly improve a visual refresh rate. After the simulation of the algorithm, we found that the experimental results are better than the traditional PWM dimming algorithm, improving the visual refresh rate several times; through the associated optical theories and formulas deriving, a method for automatically adjusting the color temperature of the blackbody locus matching algorithm is developed, which can be derived the three primary colors (red, green, blue) brightness values according to the color coordinates of the target color temperature corresponding and dynamically adjust color temperature by different luminance values of three-color mixed LED light. This paper also carries out experiments to verify the algorithm, and the results are good, achieve the color temperature adjustable within color temperature range of2000-9100K.The paper focuses on indoor illumination intelligent control algorithms. Through related theory analysis and calculations, we determine the indoor installation area of illumination sensor and calculate impact factor of the outdoor light sensor impacts the indoor, achieving the room transfer function matrix. On this basis, we use neural network to design luminance distribution model in the laboratory, which lays the foundation for the combination of the natural light below and indoor lighting. Then genetic algorithm is used to calculate the optimal illumination of the work of the desktop solution (closest to the national standard desktop illumination). Finally, the analysis is focused on energy consumption. Through relevant experimental verification:the system can not only provide comfortable lighting environment for laboratory personnel, but also reduce the energy consumption of more than50%, achieving the purpose of saving energy.