Design and implementation of an automated monitoring system

Abstract

One of the main limitations of existing monitoring systems is their dependency on the continuous recording of video data. As a result, the system consumes huge power and needs large memory to store this data. The aim of this paper is to present an automated monitoring system that can save memory, as well as measure the target distance precisely based on the motion sensors and ultrasonic sensor. The target is detected by motion sensors and then an ultrasonic sensor is used to measure the target distance. The cross-correlation technique is used to calculate the distance of targets using ultrasonic signal. To obtain high measuring accuracy, noise reduction technique and temperature effect on velocity have been adopted. A series of real-world experiments are conducted with different targets and target positions. The experimental results show that using a noise reduction technique and temperature compensation improve the accuracy of the designed system.

Data Sensing and Processing Tensioning System Based on the Internet of Things

“…Akl et al [28] monitor constructed wetlands in real time with web applications, and the results prove the feasibility and innovation of the Internet monitoring of constructed wetlands. Islam et al [29] use a motion sensor and an ultrasonic sensor to measure target distance precisely, which reduces the memory consumption of monitoring system. Lian et al [30] develop a remote monitoring system for poultry farming environment based on IoT, which uses sensors to monitor the temperature, humidity, and other important indicators of the farming environment and remotely manages data and monitors the environment in real time with a computer or mobile terminal.…”