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

Smart Home using Internet

This paper presents a lowcost, flexible home devices control and monitoring system using an embedded arduino micro-web server, with real IP connectivity for accessing and controlling devices and appliances remotely using Android based Smart phone app running on android platform. The proposed system does not require a dedicated server PC with respect to similar systems and offers a novel communication protocol to monitor and control the home environment with real time graphical interface. Devices such as light switches, temperature sensors, smoke/gas sensors and sirens can been integrated in the system to increase the feasibility and effectiveness of the proposed smart home system. However every load of the home can be controlled using SENSOR SWITCH. Sensor switch is integrated with the Ethernet system. Therefore in proposed system real time interface is possible

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

Software and Data Visualization Platform for Groundwater Level and Quality Monitoring System

Rapid urbanization and increasing population come with the increased extraction and use of groundwater resources. To track the effect of these activities on groundwater level and quantity; a system for real-time monitoring is devised. In this paper; we present a software system design that enables a locally-developed groundwater level and water quality monitoring hardware setup to gather water quality parameter data; send it to a cloud server; and present organized data for better visualization. The hardware setup consists of an Arduino microcontroller. Upon deployment; the hardware setup is linked to an Android application that connects to the web-based platform

Rancang Bangun Sistem Kolaborasi Pada Lingkungan Cross Platform Secara Real Time Dengan Mekanisme Publish/Subscribe Berbasis Lightweight Messaging Protocol (Studi Kasus: Kolaborasi Sensor Terdistribusi)

Dalam masa transisi menuju masa Internet of Things, pertumbuhan penggunaan jumlah sensor yang dipakai di seluruh dunia berkembang dengan sangat cepat. Salah satu fungsinya yaitu untuk mengenali keadaan di sekitar secara real-time. Sehubungan dengan itu, kumpulan data sensor tersebut juga dapat dimanfaatkan untuk melakukan suatu aksi secara otomatis. Untuk melakukan hal tersebut diperlukan suatu sistem yang dapat melakukan otomatisasi aksi berdasarkan data kolaborasi sensor. Sistem tersebut harus mendukung komunikasi lintas platform secara real-time agar aplikasi monitoring data sensor selalu mendapatkan data paling mutakhir. Sistem juga harus menggunakan sumber daya komputer dan bandwidth seefisien mungkin agar dapat menghemat biaya operasional ketika digunakan pada skala besar. Pada tugas akhir ini dijelaskan mulai dari tahapan perancangan hingga tahapan implementasi serta evaluasi hasil uji coba untuk memenuhi kebutuhan sistem kolaborasi tersebut. Terdapat aplikasi Android yang berfungsi untuk monitoring data sensor dan aplikasi Web untuk mengelola kolaborasi aturan sensor. Aturan data sensor tersebut menggunakan operator relasional dan operator logika. Aturan tersebut nantinya digunakan untuk melakukan otomatisasi aksi oleh sistem. Ketika sensor mengirimkan data, sistem menerima data tersebut lalu mendistribusikannya pada aplikasi Android dan Web, serta memproses data tersebut untuk mengevaluasi kolaborasi aturan. Ketika aturan terpenuhi, aksi secara otomatis dijalankan. Berdasarkan hasil uji coba yang dilakukan, sistem kolaborasi dapat menyediakan layanan untuk monitoring data sensor secara real-time pada platform Android dan Web, mengelola kolaborasi aturan sensor, dan melakukan otomatisasi aksi berdasarkan kolaborasi aturan sensor yang telah dikonfigurasi. Sistem juga mampu mengevaluasi kolaborasi data sensor dan melakukan otomatisasi aksi hingga ±1000 data tiap detiknya dengan menggunakan sumber daya RAM hanya sebesar 23.12 MB dan bandwidth sebesar 76 KB. ============================================================================================== As we are moving towards the Internet of Things (IoT) era, the number of sensors deployed around the world is growing at a rapid pace. These sensors offer real-time sensing of the environment. In advances, these sensor data can be used to enable triggering autonomous reaction to changes in the physical world. To do so requires a system which can enable triggering autonomous reaction based on collaboration of sensor data. The system should support real-time cross platform communication system to enable monitoring applications to get the latest data. The system also should use less resource and bandwidth to increase cost efficiency while being used in a large scale deployment. This work explain a step by step to design and implement the collaboration system. We build an Android app to monitor sensor data and a Web app to manage rule of sensor collaboration data. These rule can be built using relational and logical operator. It will be used to trigger automated action. When the sensor send their data to the system, the system will distribute it to Android app and Web app, as well as processing the data to evaluate the rules. When the rules are met by the sensor data, system will invoke an action automatically. Finally, based on our evaluation, the collaboration system can provide real-time sensor data monitoring, managing rule of sensor collaboration data, and trigger an autonomous action based on configured action. This system is also capable of evaluating collaboration of sensor data and trigger an autonomous action up to ±1000 data per second using 23.12 MB of RAM and 76 KB of network dat

An enhanced mobile ambulatory assessment system for alcohol craving studies

Currently, most methods in clinical psychology research primarily rely on questionnaires and interviews with examiners instead of providing real-life subject behavioral and psychology data monitoring and collecting services. This thesis presents an android-OS-based mobile Ambulatory Assessment System, for psychology research -- especially alcohol craving studies -- to improve current methods and provide real-time data monitoring, collecting and processing. As current generation smartphones provide more powerful communication platform, embedded with robust built-in sensor suits and vigorous processing and storage capabilities, smartphones play an increasingly significant role in various sensing tasks such as activities monitoring personal health surveillance and environment. This system consists of four parts: a wearable sensor (Equivital EQ2 sensor) that measures physiological data, an Android smartphone, a web server and a data analysis module. The smartphone is responsible for collecting and recording physiological data from the wireless wearable sensor, interacting with the users to conduct various surveys, and uploading data to the web server. The server is responsible for data processing, computation, and visualization. Utilizing machine learning methods, data from the sensor and survey build models that predict how various psychological disorders cause alcohol or other substance cravings and emotion dysregulation. The system has been deployed in a field study of alcohol craving, and initial data collected from real subjects proved promising

IoT-based Running Time Monitoring System for Machine Preventive Maintenance Scheduling

Machines are valuable assets that need to be protected from damage and failure through proper maintenance measures. This paper proposes a system that automatically monitors the running time of machines and sends notifications regarding their preventive maintenance (PM) schedules. The system core consists of a programmable logic controller (PLC) and a human machine interface (HMI). The HMI is connected to an online platform via internet connection provided by a router, so that the monitoring result can be accessed via Android smartphone or laptop/PC. This IoT-based running time monitoring system (IRTMS) will be particularly helpful in implementation at an production site that consists of multiple various machines. The PM items of a machine may vary from cleaning, changing single component, to an overhaul, each with different time interval. By using the IRTMS, the user will have an overview of the PM schedules anytime and anywhere. The preparation of material, components, or tools can be known ahead of time. For simulation purpose, a prototype is constructed by using components as used in industrial real-life condition. Four output connections are provided to simulate the simultaneous monitoring of four machines. The IRTMS prototype is tested and completely successful on doing the running time monitoring, the running time reset, the PM notifications, and the remote access for monitoring and control

Sistem Monitoring Kendaraan Secara Real Time Berbasis Android menggunakan Teknologi CouchDB di PT. Pura Barutama

PT. Pura Barutama is a company with many production areas. Products that have been produced will be delivered to some destinations using company's vehicles. Those vehicles are managed by Vehicle Unit of PT. Pura Barutama. Based on the research, there is a problem in the term of vehicle tracking and monitoring. The delay of product delivery is often occur for no apparent reason from the drivers. Previously, Vehicle Unit already has a GPS Tracker installed on each vehicle, but this GPS Tracker can only be triggered using SMS to send the location of vehichles. This method causes the lack of tracking and monitoring information obtained by the company. This research developed a new model of tracking and monitoring system based on Android platform. CouchDB technology is also used to provide a real time tracking and monitoring system. The test result shows that this new system has advantages compared with the old tracking system and can be used to replace the old system

Development of an IoT system with smart charging current control for electric vehicles

This paper presents the development and test of an Internet of Things (IoT) system for monitoring and control of electric vehicles. The IoT architecture, which was developed using the Firebase platform, allows the synchronization of the vehicles' data to the online server, as well as the access to the data outside of the vehicle, though the Internet. The smart charging system proposed in this paper allows the control of the electric vehicle's battery charging current in real time, based on the demand at the residence (home current), which is measured using a residential wireless sensor network (WSN). An Android mobile app was developed to access the vehicle's data. This app communicates with the wireless sensor nodes of an intra-vehicular wireless sensor network (IVWSN), which was developed using the Bluetooth Low Energy (RLE) protocol. A real time notification system was also implemented to alert users about certain events, such as low battery and full battery charge. The main features of the proposed IoT system are validated through experimental results.This work is supported by FCT with the reference project UID/EEA/04436/2013, COMPETE 2020 with the code POCI 01-0145-FEDER-006941