Intelligent traffic communication signal processing system based on cloud computing

Abstract

The invention discloses an intelligent traffic communication signal processing system based on cloud computing. The system comprises a background management server and a terminal intelligent control cabinet. The terminal intelligent control cabinet comprises an instruction receiving and processing module and a signal lamp control module. The instruction receiving and processing module comprises anantenna E1 for receiving a remote control instruction of the background management server; the antenna E1 sends the received instruction signal to an impedance matching circuit and a low-noise amplifying circuit in sequence for processing; the signal lamp control module comprises a microprocessor and a control circuit. The microprocessor is connected with a radio frequency chip U1 through a serial port. The output port of the microprocessor is connected with the control end of the control circuit. According to the invention, the influence of low-frequency interference or peak interference inthe circuit on a control instruction signal is well eliminated in the instruction receiving stage, the high-frequency clutter interference is eliminated, the identification capability of the system onthe control instruction is effectively improved, the remote communication signal receiving and processing capability is strong, and the signal lamp remote control is accurate and effective.

Description

technical field [0001] The invention relates to the technical field of traffic signal light control, in particular to a cloud computing-based intelligent traffic communication signal processing system. Background technique [0002] The intelligent traffic signal control system is an intelligent automation application system based on traffic big data. On the basis of big data, the system judges the traffic flow, human flow, and road conditions on the road. The intelligent traffic signal control system is connected to flow detectors, queue length detectors, speed detectors, etc., and uses cloud computing processing technology to correct and check the system timing scheme, automatically control the time of traffic lights, monitor and report fault conditions, and remotely control online manually Traffic lights are used to give way to special vehicles such as fire engines, ambulances, and police vehicles. The existing intelligent traffic signal control system mainly consists of ...

AI Technical Summary

Problems solved by technology

The terminal intelligent control cabinet will mix various interferences in the transmission process of the control signal, such as adjacent channel interference, out-of-band interference, etc., and the stability of the internal circuit of the terminal intelligent control cabinet will also have a great effect on the control signal receiving process. For example, the low-frequency interference or spike interference generated inside the circuit will generate too much noise in the command receiving stage to affect the system's ability to recognize commands, resulting in failure or error in the remote control of signal lights

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