Escalator entrance passenger flow congestion detection device and passenger flow congestion degree judgment method thereof

Abstract

The invention discloses an escalator entrance passenger flow congestion detection device and a passenger flow congestion degree judgment method thereof. The device includes an infrared array sensor used for realizing two-dimensional area temperature detection; a microprocessor used for receiving and analyzing temperature information transmitted by the infrared array sensor, obtaining the congestion degree of streams of people, and providing a corresponding indication signal; and a power supply used for supplying power to the microprocessor. The infrared array sensor is installed in a middle position vertically above an escalator floor plate, an angle is vertical to the floor plate and is downward, the infrared array sensor communicates with the microprocessor through an IIC interface, the microprocessor is installed beside the infrared array sensor and selects and uses a chip based on an ARM architecture, and a clipped Linux embedded operating system runs on the microprocessor. Through adoption of the infrared array sensor, based on an image identification theory, two-dimensional temperature information of an escalator entrance can be autonomously analyzed, thereby effectively realizing detection of the passenger flow congestion degree.

Description

technical field [0001] The invention relates to the technical field of passenger flow congestion detection, in particular to a passenger flow congestion detection device at an escalator entrance based on an infrared array sensor and a method for judging the degree of passenger flow congestion. Background technique [0002] With the continuous and rapid development of the social economy, escalators are becoming more and more popular as a means of transportation in public places such as subways, shopping malls, and railway stations, bringing great convenience to people's travel. However, during the peak period of passenger flow, there will be passenger flow congestion at the escalator entrance, which may lead to safety accidents. Therefore, it is necessary to detect the degree of passenger flow congestion at the entrance of the escalator, including the detection of pedestrian congestion and stranded conditions, and timely early warning such as voice prompts to better ensure th...

AI Technical Summary

Problems solved by technology

[0003] At present, there are two commonly used methods for passenger flow congestion detection. One is to use machine vision for detection. Due to the large amount of computation of the visual detection algorithm and high performance requirements for the hardware platform, the cost is relatively high.

The other is to arrange staff to be on duty on site, which has high labor costs

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