Wireless tyre pressure measurement

Rajlaxumi Rajkumar Patil,A A Shinde

doi:10.17485/ijst/v14i9.2296

Abstract

Objectives: To create a low-powered, smaller-size vehicle tyre pressure and temperature measuring unit and tracking of sensor values using ESP8266 as a core component in a mobile app. Methods: The IoT technique is applied remotely to measure the tyre pressure and temperature sensor. With the aid of Firebase, the mobile app tracks and displays the input signals from the tyre pressure and temperature sensor continuously. This study includes the NodeMCU, MLX90614 temperature sensor and SPD030G pressure sensor to incorporate a direct tyre pressure monitoring system. Findings: The setup is in charge of continuously controlling the tyre’s pressure and temperature. This will be shown via Firebase on the mobile app. Much like MQTT, the mobile app is linked to firebase. Novelty/Applications: The proposed setup is a wireless MQTT-based device designed to transmit data to the Smartphone (Mobile) app, enabling tyre wellbeing to be controlled from anywhere in the globe. It is possible to monitor the pressure and temperature of the tyre wirelessly. No need to use a separate sensor reading controller for wireless communication due to the use of ESP8266. This can be seen in air conditioning devices, BP/health control, and handheld pressure sensors. Keywords: Direct and indirect TPMS; Node MCU; MLX90614; SPD030G; firebase; MQTT

Highlights

As seen in (1), the use of a wireless network to track tyre pressure
The pressure sensor senses the pressure inside the tyre and sends it to the unit, and if the pressure is above the threshold, the sound alarm triggers
It uses a graphical user interface (GUI) that is somewhat similar to the Scratch and StarLogo programming languages, allowing users to drag and drop visual objects to create an app that can run on Android devices while being an App-Inventor Companion (The software that sanctions running and debugging the app) that runs on IOS running devices is still being developed

Summary

Introduction

As seen in (1), the use of a wireless network to track tyre pressure. The auto-learning sensor ID method using a fuzzy logic algorithm is seen in (2). The inputs of this fuzzy controller are drive time, acceleration data, some spinning messages obtained and conveyance speed, and all this information is processed by the sensors state as the output. The algorithms that use the interframe Spacing Pattern for the Global Identifier to define the position of each tyre were implemented in(3). With different patterns of interframe spacing, the pressure and acceleration sensors are used to convey the frame after receiving the authority to join the channel.

Objectives

Methods

Results