Water Pipeline Leakage Detection Based on Machine Learning and Wireless Sensor Networks

The detection of water pipeline leakage is important to ensure that water supply networks can operate safely and conserve water resources. To address the lack of intelligent and the low efficiency of conventional leakage detection methods, this paper designs a leakage detection method based on machine learning and wireless sensor networks (WSNs). The system employs wireless sensors installed on pipelines to collect data and utilizes the 4G network to perform remote data transmission. A leakage triggered networking method is proposed to reduce the wireless sensor network’s energy consumption and prolong the system life cycle effectively. To enhance the precision and intelligence of leakage detection, we propose a leakage identification method that employs the intrinsic mode function, approximate entropy, and principal component analysis to construct a signal feature set and that uses a support vector machine (SVM) as a classifier to perform leakage detection. Simulation analysis and experimental results indicate that the proposed leakage identification method can effectively identify the water pipeline leakage and has lower energy consumption than the networking methods used in conventional wireless sensor networks

Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoT-aided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems

A hybrid sensor network for watershed monitoring

This thesis discusses the Hydrological Hybrid Communication Sensor Network (HHCSN), which is designed for in situ measurement of various hydrological properties of a watershed. HHCSN is comprised of a network of sensor strings, each of which connects up to 100 sensing nodes on a communication line as long as 100 m. Each node includes sensors that measure soil attributes of interest, as well as a microcontroller with basic communication and processing capabilities. A relay point at the surface compresses data from the nodes and wirelessly transmits it to a base station that serves as a gateway to the outside world. The base station compresses data from multiple strings and utilizes the GSM cellular infrastructure to communicate the data to a remote server and to receive software updates to be disseminated to the sensor strings. Ultra-low power design and remote maintenance result in an unattended eld life of over ve years. The system is scalable in area and sensor design modality, as covering a larger area would only entail the addition of sensor strings, and the nodes are designed to facilitate the interfacing of additional sensors. The system is robust, as the only exposed portion is the relay point. Data collection and transmission can be event-driven or time-driven. Battery power, which is supplemented by solar harvesting, and wireless short- and long-range communication, eliminate the need for surface wiring, signicantly reducing the cost of system deployment. Currently, the estimate is a cost of less than $40 for each sensor string, which compares very favorably to the price of existing systems, most of which oer very limited in situ measurement capabilities, yet cost tens of thousands of dollars --Abstract, page iii

Design of a Water Environment Monitoring System Based on Wireless Sensor Networks

A water environmental monitoring system based on a wireless sensor network is proposed. It consists of three parts: data monitoring nodes, data base station and remote monitoring center. This system is suitable for the complex and large-scale water environment monitoring, such as for reservoirs, lakes, rivers, swamps, and shallow or deep groundwaters. This paper is devoted to the explanation and illustration for our new water environment monitoring system design. The system had successfully accomplished the online auto-monitoring of the water temperature and pH value environment of an artificial lake. The system's measurement capacity ranges from 0 to 80 °C for water temperature, with an accuracy of ±0.5 °C; from 0 to 14 on pH value, with an accuracy of ±0.05 pH units. Sensors applicable to different water quality scenarios should be installed at the nodes to meet the monitoring demands for a variety of water environments and to obtain different parameters. The monitoring system thus promises broad applicability prospects

A High-Resolution Sensor Network for Monitoring Glacier Dynamics

This paper provides an overview of a wide area wireless sensor network that was deployed on the calving front of the Helheim Glacier in Greenland during the summer of 2013. The purpose of the network was to measure the flow rate of the glacier using accurate satellite positioning data. The challenge in this extreme environment was to collect data in real time at the calving edge of the glacier. This was achieved using a solar powered 2.4-GHz Zigbee wireless sensor network operated in a novel hybrid cellular/mesh access architecture consisting of ice nodes communicating with base stations placed on the rock adjacent to the glacier. This highly challenging transmission environment created substantial signal outage conditions, which were successfully mitigated by a radio network diversity scheme. The network development and measurement campaign were highly successful yielding significant results on glacial dynamics associated with climate change

Real Time Gas Monitoring System Using Wireless Sensor Network

Miner’s safety is the main issue in the present era. Miner’s health is affected by many means which includes unstable and cumbersome underground activities and awkward loads, heavy tools and equipment, exposure to toxic dust and chemicals, gas or dust explosions, improper use of explosives, gas intoxications, collapsing of mine structures, electrical burn, fires, flooding, rock falls from roofs and side walls workers stumbling/slipping/falling, or errors from malfunctioning or improperly used mining equipment. In earlier days for detection of gases canary and small animals are used but they didn’t provide the exact condition of the mines so safety in the mine in not guaranteed. Hence, there is a need of monitoring system which utilised the ZigBee wireless sensor network technology. There are two units of the monitoring system Sensor unit and Monitoring unit. Sensor unit will be placed in the underground section and Monitoring unit will be placed in the above the mines from where monitoring is done. Firstly, the Sensor unit is placed in the underground section of the mine. Where input is taken from the sensors in terms of Methane (CH4) i.e. MQ-2 sensor, Hydrogen Sulphide (H2S) i.e. MQ-136 sensor, and Natural Gases i.e. MQ-5 sensor. Then they are compared with their threshold value by the Microcontroller Module and if the value is above the threshold value, the Buzzer starts ringing meanwhile data is displayed in the Display module and sent to the Wireless Communication Module of the Monitor unit i.e. ends device or coordinator through the Wireless Communication Module of the Sensor unit i.e. router. In this way, the study can help the miners get relief from any casualty and ultimately save their lives. The device encompasses a large range of networking. The data can also be stored for future investigation. The device is also durable and costs effective with a price of approx. Rs. 6,500 to 7,000/-

ZIGBEE Protocol Based Low Power Health Care Monitoring System

ZigBee based health care system was a health care monitoring system which mainly measures the physical conditions of the patient. It was based on an LR-WPAN ad-hoc network known as ZigBee”. It was mainly utilized for the implementation of health care system with less cost and low Power usage. The key feature of this paper is that it less energy consumption, optimum bandwidth maintenance and appreciable compatible to the preexisting and newer technologies. This work is implementated in both hardware and software and it was compiled and simulated using MPLAB and Proteus simulation software

Development of Android Based Real Time Monitoring System for Fire-fighters

Fire-fighters are trained rescuers especially in extinguishing hazardous fires and saving lives from dangerous situations however they tend to put their lives at risk while on the job. Statistic shows the number of deaths of fire-fighters while on the job are still high up to this year and a higher percentage of rapid fire progress and exertion are dedicated to the cause of death of fire-fighters while on the job. Therefore, a real-time monitoring on the physiological state for fire-fighters is something crucial to be done. However, the Fire and Rescue Department of Malaysia practices the traditional communication method which is by communicating via walkie-talkie. The practice of real-time assessment should be carried out by Fire and Rescue Department of Malaysia in order to avoid having a fire-fighter’s live at risk. This could be achieved by using the ARMOR (Android Based Real Time Monitoring System) whereby it can transmit voice data and physiological data such as heart rate, respirator rate, peak acceleration and posture. Based on the research and critical analysis, an android platform have been found to be a suitable selection as it supports Bluetooth Wi-Fi and Radio Frequency, accessible from any android devices and it is user friendly. As a result, a real-time intelligent monitoring system was successfully developed on an android platform. The physiological data for heart rate, respiration rate, posture, and peak acceleration was successfully transmitted and monitored on an android device at real-time

DEVELOPMENT OF CONTINUOUS REMOTE BLOOD PRESSURE MONITORING SYSTEM

The conventional method to measure blood pressure of human is either by using a manual measurement by qualified personal (doctors or nurses) using sphygmomanometers or an automatic measurement completed via blood pressure devices. Both of these methods however have a drawback that may lead to misidentification or fatalities. For manual measurement; there are many parameters that may lead to misreading patient's blood pressure such as the level of patient's nerve due to the environmental factor (doctors office), while the automated measurement that widely used in hospital has to be monitored manually at certain time intervals by a nurses