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Street Parking Bay Geomagnetic Sensor

Street Parking Bay Geomagnetic Sensor

In today's rapidly developing urban environment, the rapid increase in vehicles has made the problem of urban parking increasingly prominent. Traditional parking payment collection methods often bring many inconveniences to city managers and car owners due to inefficiency and human errors....

In today's rapidly developing urban environment, the rapid increase in vehicles has made the problem of urban parking increasingly prominent. Traditional parking payment collection methods often bring many inconveniences to city managers and car owners due to inefficiency and human errors. However, with the continuous advancement of science and technology, the combination of Lorawan/NB-IoT geomagnetic sensors and handheld device technology provides an efficient, accurate and intelligent solution for on-street parking fee management.

 

Roadside parking solution

Lorawan/NB-IoT geomagnetic sensor is an intelligent sensing device based on magnetic field induction. It is embedded in the middle of the parking space and performs real-time detection of the parking space occupancy status. Relying on narrowband communication technology, it can realize long-distance data transmission under low power consumption. It has many advantages such as high detection accuracy, low working power consumption, strong stability (strong anti-interference ability), convenient construction, and low construction cost.

 

NB sensor

In actual working scenarios, when a vehicle enters a parking space, the geomagnetic sensor captures the magnetic field change and automatically starts timing. After the vehicle leaves, the magnetic field interference disappears. Combined with other detection technologies to assist in detection, the timing is automatically ended after confirming that there is no vehicle occupying, which is used as the basis for timing and charging. Intelligent detection and automatic timing throughout the process, without the need for human intervention, can significantly reduce the errors and costs of manual operations, while also improving the accuracy and reliability of data.

 

Project case

 

 

 

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