Design of Intelligent Control and Management System for Pedestrian Channel Based on STM32

With the rapid development of modern social economy, the flow of urban personnel has greatly increased. In order to ensure the efficient and orderly flow of high-density populations in public places, and the special requirements that some areas cannot communicate freely, the corresponding pedestrian passage control and management Equipment plays an increasingly important role. This paper adopts a new generation of high-performance ARM processor STM32 as the core controller, and designs an intelligent pedestrian channel control system, which can set the channel opening and direction control according to the on-site traffic requirements, and provide civilization for the entry and exit of large public places. The orderly way of communication provides convenience for the effective management of personnel flow.

1, the overall design of the system

The system mainly includes a central control module, a motor control module, a human-computer interaction module, an alarm prompt module, a channel direction indication module, a data communication module and a power management module. Reliable security and alarms, channel direction indication and an expandable large-screen LED dot matrix display interface. The system composition is shown in Figure 1.

Design of Intelligent Control and Management System for Pedestrian Channel Based on STM32

Figure 1 system composition block diagram

(1) STM32 microprocessor module: realizes signal processing and coordinated control.

(2) Motor control module: realizes the opening and closing operation of the channel gate.

(3) Signal input processing module: The input signal mainly includes the card swiping signal, the positioning signal of the photoelectric sensor, the gate positioning signal, the host computer communication control signal and the like.

(4) Human-computer interaction module: including keyboard and liquid crystal display. The keyboard display is used to complete system parameter settings and action mode indications.

(5) Alarm system module: Under abnormal conditions, realize sound and light alarm.

(6) Channel direction indication module: LED dot matrix displays the direction of the access channel.

(7) Serial communication module: RS485 interface is adopted to realize long-distance multi-machine control.

(8) Power system module: mainly includes three parts: normal working power supply, power supply switching and battery. The coordinated operation of the entire power supply system can realize the automatic swinging of the swing arm of the gate and the automatic closing of the power-on, which meets the requirements of fire protection design.

There are four kinds of control signal inputs of the system, namely, the card swiping signal, the positioning signal of the photoelectric sensor, the gate positioning signal, the host computer communication control signal, and the like. After the signal is collected by STM32, the operation of the motor system is controlled. If an abnormal situation is encountered, the alarm and fault self-test function will be activated, and the system can realize the anti-pinch and anti-shock function to avoid accidental injury. The keyboard display module is programmable to implement the operating state of the device.

2, system hardware design 2.1, core microprocessor STM32F103

This design uses STMicroelectronics' STM32F103 microprocessor, which is based on the 32-bit Cortex-M3RISCCPU, which is specifically designed to meet high performance, low power, real-time applications and competitive pricing. The requirements of the embedded field in one. The chip's fast response capability, low power consumption and stability are fully compliant with the design requirements.

The STM32F103 has powerful advantages for motor control:

(1) Powerful Cortex-M3 core;

(2) An advanced timer capable of generating 6 PWMs with a dead zone generation function;

(3) Numerous PWM outputs make it possible to drive multiple DC brush motors, stepper motors or general purpose motors;

(4) 2/3 ADCs, each with independent sample and hold circuit, 12-bit precision, 1ms conversion time;

(5) The sensorless vector control algorithm time is less than 21ms.

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