Structural Strength Evaluation of Flexible Pavements using IoT

Pavement Health Monitoring has become a critical component of pavement maintenance and rehabilitation. To accountfor this, IoT (Internet of Things) sensors and low-cost connectivity have made it possible to remotely monitor and process data from farareas. Data from sensors can be read by IoT devices and transmittedwith great accuracy. As there are sensors such as strain, temperature, moisture, pressure, geophones sensors for the pavement health monitoring. In this study we developed an IoT module which evaluates. the strength of the flexible pavements using raspberry pi. The Structural Evaluation of Flexible Pavements is proposed in thisstudy using a Raspberry PI 4 model B, Piezoelectric (PZT) Sensors,DAC (Digital to Analog Converter), an ADC (Analog to Digital Converter) Python is used to run the algorithm on the Raspberry Pi. The Transducer sends a sinusoidal (Digital) wave, which is converted to an Analog by the DAC. The ADC converts the receiver's response signal. PZT sensors extract responses from the Pavement Structure, and a method is proposed to determine pavement strength. Initially, Responses are collected first from the traditional methods such as LWD (Light Weight Deflectometer), BBD, (Benkelman Beam Deflection) MR, (Resilient Modulus Test) British pendulum Tester, Roughness (Merlin) later responses are collected from developed IoT Module and calibrated using soft computing techniques.