PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

scholarly journals Online Near real-time Mine Disaster Monitoring System Based on Geosensor Networks

2016 ◽  
Vol 12 (03) ◽  
pp. 64
Author(s):  
Haifeng Hu
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Satellite System ◽  
Open Pit ◽  
Observation Data ◽  
Complex Data ◽  
Disaster Monitoring ◽  
Process Observation ◽  
Global Navigation Satellite ◽  
Safety And Stability

Abstract—An online automatic disaster monitoring system can reduce or prevent geological mine disasters to protect life and property. Global Navigation Satellite System receivers and the GeoRobot are two kinds of in-situ geosensors widely used for monitoring ground movements near mines. A combined monitoring solution is presented that integrates the advantages of both. In addition, a geosensor network system to be used for geological mine disaster monitoring is described. A complete online automatic mine disaster monitoring system including data transmission, data management, and complex data analysis is outlined. This paper proposes a novel overall architecture for mine disaster monitoring. This architecture can seamlessly integrate sensors for long-term, remote, and near real-time monitoring. In the architecture, three layers are used to collect, manage and process observation data. To demonstrate the applicability of the method, a system encompassing this architecture has been deployed to monitor the safety and stability of a slope at an open-pit mine in Inner Mongolia.

Developing a public information and engagement portal of urban waterways with real-time monitoring and modeling

2011 ◽  
Vol 63 (2) ◽  
pp. 248-254 ◽  
Author(s):  
T. A. Cochrane ◽  
D. Wicke ◽  
A. O’Sullivan
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Mesh Network ◽  
Web Portal ◽  
Alert System ◽  
Urban Waterways ◽  
Effective Manner ◽  
Urban Catchments

Waterways can contribute to the beauty and livelihood of urban areas, but maintaining their hydro-ecosystem health is challenging because they are often recipients of contaminated water from stormwater runoff and other discharges. Public awareness of local waterways’ health and community impacts to these waterways is usually poor due to of lack of easily available information. To improve community awareness of water quality in urban waterways in New Zealand, a web portal was developed featuring a real-time waterways monitoring system, a public forum, historical data, interactive maps, contaminant modelling scenarios, mitigation recommendations, and a prototype contamination alert system. The monitoring system featured in the web portal is unique in the use of wireless mesh network technology, direct integration with online modelling, and a clear target of public engagement. The modelling aims to show the origin of contaminants within the local catchment and to help the community prioritize mitigation efforts to improve water quality in local waterways. The contamination alert system aims to keep managers and community members better informed and to provide a more timely response opportunity to avert any unplanned or accidental contamination of the waterways. Preliminary feedback has been positive and is being supported by local and regional authorities. The system was developed in a cost-effective manner providing a community focussed solution for quantifying and mitigating key contaminants in urban catchments and is applicable and transferable to other cities with similar stormwater challenges.

The Design of Landslide Hazard Remote Monitoring System Based on STM32 MCU and GPRS

2014 ◽  
Vol 599-601 ◽  
pp. 1115-1119 ◽  
Author(s):  
Jing Luo Cai ◽  
Guan Li ◽  
Xiang Li Bu ◽  
Xian Guo Liu ◽  
Hua Lu Xing
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Landslide Hazard ◽  
Remote Monitoring System ◽  
Geological Disaster ◽  
Disaster Monitoring ◽  
Stable Performance ◽  
Slope Displacement ◽  
Landslide Disaster

By studying the occurrence and distribution of landslide disaster, remote monitoring system for landslide hazard was developed which using STM32 microcomputer and GPRS comunication technology. The changes of slope inclination, slope displacement and rainfall were acquained in real time. Experimental results showed that the use of the system on the slope of geological disaster monitoring is convenient and with stable performance.

IoT based real time energy monitoring system using Raspberry Pi

2020 ◽  
Vol 12 ◽  
pp. 100292 ◽  
Author(s):  
Mani Dheeraj Mudaliar ◽  
N. Sivakumar
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Raspberry Pi ◽  
Energy Monitoring

scholarly journals Advance Surveillance Robot using Raspberry PiIot

2020 ◽  
Vol 6 (6) ◽  
pp. 54-57
Author(s):  
G Sai Kiranmayi ◽  
B Bhanu ◽  
B Manikanta ◽  
N Ashok ◽  
G Govinda Raju
Keyword(s):  
Real Time ◽  
Virtual Environment ◽  
Monitoring System ◽  
Raspberry Pi ◽  
Live Streaming ◽  
Surveillance Systems ◽  
Web Page ◽  
Interface Board ◽  
Major Application

The main objective of this paper is to develop a virtual environment for detecting suspicious and targeted places for user without any loss of human life.The purpose of this project is to regulate robot with interface board of the raspberry pi,sensors and software to full fill real time equipment. There are sundry surveillance systems such as camera, CCTV etc. available in the market. In these systems, the person located in that particular area can only view what is transpiring in that place. We proposed a system to build an authentictime live streaming and monitoring system utilizing Raspberry pi with installed Wi-Fi connectivity. It can continuously monitor the objects. Robot can move in every direction (left, right,forward and backward). The webcam which is placed on the robotic unit will capture the video and it transmits vivacious to the remote end. The major application of this paper can be analysed utilizing HTML web page which can be acclimated to control the movement of the robot.

scholarly journals PERANCANGAN POWER MONITORING SYSTEM PADA PANEL SURYA SEBAGAI SUMBER UTAMA PADA SMART OPEN PARKING DALAM ARSITEKTUR IOT

TRANSIENT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 819
Author(s):  
Galih Irvan Setiaji ◽  
Aghus Sofwan ◽  
Sumardi Sumardi
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Raspberry Pi ◽  
Power Monitoring

Panel surya sebagai salah satu alternatif pembangkit listrik yang ramah lingkungan dengan sumber energi berupa sinar matahari. Penggunaan yang praktis dan memiliki mobilitas untuk menjangkau daerah yang tidak tercakup dalam jangkauan listrik PLN menjadikan panel surya banyak digunaan dalam kehidupan masyarakat. Hal ini yang menjadi pertimbangan catu daya yang digunakan dalam sistem smart open parking. Penelitian ini bertujuan untuk merancang sistem charging dan monitoring daya yang dapat dilakukan secara realtime dan online. Sistem ini dilengkapi dengan sensor tegangan mengetahui tegangan, sensor arus ACS712 dan sensor DHT22 yang telah dikalibrasi dan terhubung dengan converter sebagai media konversi daya untuk mengisi baterai. Sistem ini menggunakan internet  yang terintegrasi database dan aplikasi android sebagai media untuk melakukan monitoring daya secara real time dan online sehingga sistem berjalan dengan prinsip IoT. Perancangan alat ini menggunakan Raspberry Pi 3 sebagai media pengolah dan pengirim data. Berdasarkan hasil penelitian, sistem dapat memantau tegangan, arus, dan daya dari panel surya, tegangan baterai, suhu dan kelembaban sistem  dengan tingkat rata-rata error pengukuran tegangan panel 0,12V, arus panel 0,004A, daya panel 0,34W, tegangan baterai 0,73V, suhu sistem 0,2oC dan kelembaban sistem 2,5%. Dengan demikian kondisi sistem yang dipantau sesuai dengan kondisi sebenarnya.

scholarly journals A Proposal of Implementation of Sitting Posture Monitoring System for Wheelchair Utilizing Machine Learning Methods

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6349
Author(s):  
Jawad Ahmad ◽  
Johan Sidén ◽  
Henrik Andersson
Keyword(s):  
Machine Learning ◽  
Pressure Distribution ◽  
Real Time ◽  
Monitoring System ◽  
Pressure Ulcers ◽  
Machine Learning Algorithms ◽  
Raspberry Pi ◽  
Support Vector ◽  
Processing Unit ◽  
Posture Recognition

This paper presents a posture recognition system aimed at detecting sitting postures of a wheelchair user. The main goals of the proposed system are to identify and inform irregular and improper posture to prevent sitting-related health issues such as pressure ulcers, with the potential that it could also be used for individuals without mobility issues. In the proposed monitoring system, an array of 16 screen printed pressure sensor units was employed to obtain pressure data, which are sampled and processed in real-time using read-out electronics. The posture recognition was performed for four sitting positions: right-, left-, forward- and backward leaning based on k-nearest neighbors (k-NN), support vector machines (SVM), random forest (RF), decision tree (DT) and LightGBM machine learning algorithms. As a result, a posture classification accuracy of up to 99.03 percent can be achieved. Experimental studies illustrate that the system can provide real-time pressure distribution value in the form of a pressure map on a standard PC and also on a raspberry pi system equipped with a touchscreen monitor. The stored pressure distribution data can later be shared with healthcare professionals so that abnormalities in sitting patterns can be identified by employing a post-processing unit. The proposed system could be used for risk assessments related to pressure ulcers. It may be served as a benchmark by recording and identifying individuals’ sitting patterns and the possibility of being realized as a lightweight portable health monitoring device.

scholarly journals Smart Sensor Network Based High Quality Air Pollution Monitoring System Using Labview

2017 ◽  
Vol 13 (08) ◽  
pp. 79 ◽  
Author(s):  
Nagarjuna Telagam ◽  
Nehru Kandasamy ◽  
Nagendra Prasad G ◽  
Menakadevi Nanjundan
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Smart Cities ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Laptop Computer

A ZigBee based wireless sensor network is implemented in this paper which is of low-cost solar-powered air quality monitoring system. The main objective of the proposed architecture is to interfacing various sensors to measure the sensor analog data and displayed in LabVIEW on the monitor using the graphical user interface (GUI).  The real time ambient air quality monitoring in smart cities is of greater significance for the health of people. The wireless network sensor nodes are placed at different traffic signals in the smart cities which collect and report real-time data on different gases which are present in the environment such as carbon monoxide (CO), nitrogen dioxide (NO2), methane (CH4) and humidity. The proposed system allows smart cities to monitor air quality conditions on a desktop/laptop computer through an application designed using graphical programming based LabVIEW software and provides an alert if the air quality characteristics exceed acceptable levels. The sensor network was successfully tested on the campus of the institute of aeronautical engineering, Hyderabad. The sensor data are indicated by different indicators on the front panel of LabVIEW and also different charts are plotted with respect to time and amplitude which explains the severity of polluted areas.

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