基于物聯(lián)網(wǎng)的高速公路隧道智慧照明節(jié)能系統(tǒng)設(shè)計(jì)
[Abstract]:The power consumption of highway tunnel lighting accounts for most of the highway operation cost. In the actual operation, there is excessive lighting in the tunnel. Excessive lighting is not only bad for safe driving, but also a waste of electric energy. Therefore, the study on how to solve the highway tunnel excessive lighting has important theoretical significance and application value. In this paper, the method to solve the excessive lighting of tunnel is studied, and the intelligent energy saving system is designed. Through collecting the illumination of the tunnel environment and the real-time traffic flow of the tunnel, using the technology of Internet of things, the lighting brightness in the tunnel is controlled in real time based on the fuzzy control thought, in order to realize the "high traffic flow, more lights are turned on," The control effect of "low flow rate, less light" and "light intensity outside tunnel light intensity is strong, light intensity is weak, less light" control effect, thus avoiding excessive lighting, achieve energy saving, and ensure the safety of driving. Firstly, the intelligent lighting energy saving system of highway tunnel based on the Internet of things is studied and designed, including the overview of the overall structure of the lighting energy saving system, the research of the tunnel environmental parameters acquisition method and the study of the subsystems of the lighting energy saving system. Secondly, the design and implementation of each subsystem are described in detail, focusing on the design and fabrication of illumination sensor based on STM32 and Modbus protocol and the design of embedded control system based on Cortex-A9 in Illumination data acquisition system. The illumination sensor is deployed inside and outside the tunnel to collect real-time brightness, and the embedded control system based on A9 is used to schedule and control the subsystems to collect information such as illumination, lighting energy consumption, traffic flow and so on. And upload this information to the remote server through the network. Then, the fuzzy control theory is studied, and the tunnel lighting control algorithm based on fuzzy control is designed. By using the data uploaded to the server by the embedded control system, the illumination brightness in the tunnel can be controlled in real time through the illumination control algorithm, which makes the illumination in the tunnel change with the light intensity outside the tunnel and the traffic flow, so that the energy saving can be realized. Finally, the system function test and energy consumption analysis are carried out. The functions of the illumination sensor based on STM32 and Modbus protocol, the functions of data acquisition and network transmission of embedded control system, the functions of energy consumption platform based on web page are tested. The effect of energy-saving control algorithm of tunnel lighting based on fuzzy control is tested. Through the actual control of lamps and lanterns in the tunnel, the energy consumption data before and after the control are used to analyze the energy consumption. Based on the analysis of energy consumption, it is concluded that the control system is stable, the effect of energy saving is better and the efficiency of energy saving is higher, and the design expectation is reached.
【學(xué)位授予單位】:華中師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP391.44;TN929.5;U453.7
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