Smart LoRaWAN Parking Sensors

LoRaWAN parking sensors detect the presence or absence of a vehicle in a parking space and transmit this data to a LoRaWAN gateway, which in turn sends the data to a cloud-based application for analysis and visualization.

LoRaWAN parking sensors have built-in battery with IP68 environmental protection rating. These sensors are relatively small and are installed at the parking spaces.

Solution’s Overview:

1. Vehicle detection: The parking sensor uses a sensor technology such as ultrasonic, magnetic, or infrared to detect the presence or absence of a vehicle in the parking space.
2. Data transmission: The parking sensor sends this information to a nearby LoRaWAN gateway using the LoRaWAN wireless communication protocol.
3. Gateway relay: The LoRaWAN gateway receives the data from the parking sensor and relays it to a cloud-based application using an internet connection.
4. Data analysis: The cloud-based application analyzes the data received from the parking sensors to determine the occupancy status of each parking space in real-time.
5. Visualization: The analyzed data is then visualized on a dashboard or map, providing parking managers or administrators with real-time insights into the availability of parking spaces. Open parking spaces information can also be provided to visitor’s mobile app.
6. Displays: Parking lots can have LED or LCD screens to quickly inform in real-time about the location of open parking spaces.

Mostly used LoRaWAN parking sensors have three geomagnetic sensors to detect the consumption of earth’s magnetic field and can detect the presence or absence of a car in a parking space in real-time. The parking sensor arranged in the X, Y and Z axes not only detects the magnetic field strength but also analyzes patterns. Different types of vehicles generate different signal patterns. Algorithms reliably filter out disruptive interference fields that are generated, for example, by subways and overhead lines.?

Using this data, parking managers can monitor the availability of parking spaces in real-time and optimize the parking management system accordingly, which also reduces traffic congestion and improves user experience. Management staff can also use this data to identify parking patterns and trends, to make informed decisions about parking lot design, pricing, and enforcement.