The Design And Accomplishment Of The Intelligent Recognition And Control System Of Street Lamp

In recent years, LED lamp has already quickly occupied the lighting market for its advantages such as:low power consumption, long life span, security, green and free from pollution. However, the controlling methods of existing street lamp are limited to time control; unified management, nonautomatic brightness adjustment, and dependence on manual inspection of troubleshoot which have a direct impact on the development and application of LED street lamp. Designing and achieving intelligent street lamp recognition control system of LED street lamp wireless networking that is based on visual sensing technology has great practical significance and application value.The main work and achievements of the author are as follows.(1)According to the function and performance requirements of control system and the performance and function of main control CPU, the author selected the appropriate master processor, and accomplished the design of function module peripheral interface circuit and power supply, the design of core plate structure of the system design and the design of interface board.(2)It achieves functional requirements of moving target recognition through the software development process and selects the appropriate embedded operating system; it designs and accomplishes the overall frame of moving target recognition system and system flow according to video image acquisition drive, v412 and moving target identification software "motion".(3)After the analysis and comparison of the advantages and disadvantages of several commonly used moving object recognition algorithm, it puts forward a optimization algorithm which organically combines the median background model algorithm and "motion" algorithm. MATLAB simulation experiment shows that the optimization algorithm in recognition accuracy and adaptability to environment and algorithm complexity has certain advantages, and the algorithm has been applied to the product.(4)Accomplished the design of control system software, video capture function and motion recognition software test of intelligent street lamp control system software,. The test results show that:the system can get intelligent control of switch and brightness of the street lamp according to the brightness of the environment and road status recognition.After practical demonstration, the intelligent recognition of street lamp control system can improve the recognition accuracy; can achieve the automatic adjustment of the brightness of the LED street lamp according to time, the brightness of the environment and traffic information to. To a certain extent, this achieves "smart learning", and reaches goals of deep energy-saving, facilitate monitoring and unified management, and reduction of operating costs.