scholarly journals Real-Time Fuel Consumption Monitoring System Integrated With Internet Of Things (IOT)

Kapal ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 88-100
Author(s):  
Adella Winanda Hapsari ◽  
Hari Prastowo ◽  
Trika Pitana
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Fuel Consumption ◽  
Monitoring System ◽  
The Internet ◽  
Time Data ◽  
Monitoring Method ◽  
Improve Energy Efficiency ◽  
Measurement Results ◽  
Level Sensor

Fuel is an important aspect in the operation of ships that require high costs. The high cost of fuel is not followed by an automatic fuel monitoring process. By not using the fuel consumption monitoring method that works automatically, the shipping management does not know for sure the ship's fuel consumption is in accordance with the shipping mileage, thus triggering fraud committed by the ship's crew against the ship's fuel. Fuel consumption monitoring is carried out primarily to identify opportunities to improve energy efficiency and reduce costs. By following technological developments, Internet of Things (IoT) technology has begun to be applied in various industrial fields because it can transmit data in real-time via the internet network without human-to-human or human-to-computer interaction. In this research, the design of models and experiments related to a monitoring system for fuel consumption was carried out using sensors and microcontrollers integrated with the internet to obtain accurate and real-time data. The test results show that the volume of fuel available in the tank, the volume of fuel discharged, the flow rate of fuel, and the location of the system can be known by the user in real-time via the IoT website. Based on the results of measurements using an ultrasonic level sensor, it is known that the measurement results are quite accurate with a deviation of ± 0.5 cm. Meanwhile, the measurement results by the flow sensor are less accurate because the fuel flow only relies on the force of gravity.

scholarly journals Implementation of The Internet of Things for Monitoring The Company's Electrical Power Consumption

2021 ◽  
Vol 2 (1) ◽  
pp. 16-22
Author(s):  
Riklan Kango ◽  
Suhaedi Suhaedi ◽  
Fadli Awal Hasanuddin
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Real Time ◽  
Monitoring System ◽  
Electricity Consumption ◽  
The Internet ◽  
Voltage Measurement ◽  
Monitoring Method ◽  
Internet Of Things Technology ◽  
The Internet Of Things

This research aims to design an electric panel monitoring system using the Internet of Things technology in company buildings so that consumers can monitor real-time electricity consumption. The energy consumption monitoring method that we propose uses PM2100 by implementing a real-time monitoring function of the power consumption of a 3-phase electric panel. The monitoring system implementation results show that the value is very close to measuring the digital multimeter measuring instrument. The monitoring system produces a current measurement accuracy of 97.38% with an error of 2.62%, while the 3-phase voltage measurement error is 0.616%. This system design helps companies obtain information faster to be considered data to improve efficiency in the Company.

scholarly journals INTERNET OF THINGS BASED REAL-TIME VITAL SIGN MONITORING SYSTEM USING MOBILE APPLICATION

2021 ◽  
pp. 1-7
Author(s):  
Sugondo Hadiyoso ◽  
Akhmad Alfaruq ◽  
Rohmat Tulloh ◽  
Yuyun Siti Rohmah ◽  
Erwin Susanto
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Vital Sign ◽  
Integrated System ◽  
Easy Access ◽  
The Internet ◽  
Real Time Monitoring ◽  
Time Data ◽  
Average Delay

The development of telehealth technology in monitoring systems has been widely used to support applications in the health sector. The aim is to provide easy access for the community. One of the implications is a real-time monitoring system based on the Internet of Things (IoT) platform. Some health vital signs that are the focus of observation are ECG signal, SpO2, blood pressure and Heart rate which can provide heart health information. In this study an integrated system has been implemented, namely Vital Sign distributed monitoring system through the internet network. The implemented system was able to acquire vital sign then send data to the internet cloud to be stored and processed further for real-time monitoring needs by interested parties. An Android based application that was developed called iHealth VitalSign monitor capable of sending, processing and representing data in numerical and graphical forms. The average delay for each packet delivery was 154.73 ms and conform with the ITU-T recommendations for real-time data transfer. HR detection algorithms have been evaluated on real-time ECG signals, more than 2100 beats were tested and obtained an average accuracy of 98.78%. With this proposed application, it is hoped that it can increase the penetration of telehealth services.

Research and Implementation of Muck Truck Regulatory System

2013 ◽  
Vol 475-476 ◽  
pp. 719-722
Author(s):  
Li Zhou
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Regulatory System ◽  
The Internet ◽  
Construction Site ◽  
3G Networks ◽  
The Internet Of Things ◽  
Embedded Intelligence

To solve site muck truck regulation difficulty, a muck truck monitoring system is designed and implemented based on 3G networks and the Internet of Things. The system consisted of Hi3515 processors embedded intelligence analyzer, RFID, grating and camera. With the data send from the construction site, a B/S remote regulatory website is built to provide real-time monitoring, evidence preservation, data analysis and data summary.

IoT4Emergency

2021 ◽  
Vol 46 (1) ◽  
pp. 33-36
Author(s):  
Julie Dugdale ◽  
Mahyar T. Moghaddam ◽  
Henry Muccini
Keyword(s):  
Internet Of Things ◽  
Emergency Management ◽  
Real Time ◽  
International Workshop ◽  
The Internet ◽  
Time Data ◽  
Time Requirements ◽  
Safety Systems ◽  
Crises Management ◽  
The Internet Of Things

The increasing natural and man-induced disasters such as res, earthquakes, oods, hurricanes, overcrowding, or pandemic viruses endanger human lives. Hence, designing infrastructures to handle those possible crises has become an ever-increasing need. The Internet of Things (IoT) has changed our approach to safety systems by connecting sensors and providing real-time data to managers, rescuers, and endangered people. IoT systems can monitor and react to progressive disasters, people's movements and their behavioral patterns. The community faces challenges in using IoT for crises management: i) how to take advantage of technological advancements and deal with IoT resources installation issues? ii) what environmental contexts should be considered while designing IoT-based emergency handling systems? iii) how should system design comply with various levels of real-time requirements? This paper reports on the results of the First International Workshop on Internet of Things for Emergency Management (IoT4Emergency 2020), which speci cally focuses on challenges and envisioned solutions in using smart connected systems to handle disasters.

scholarly journals Performance analysis for similarity data fusion model for enabling time series indexing in internet of things applications

2021 ◽  
Vol 7 ◽  
pp. e500
Author(s):  
Mina Younan ◽  
Essam H. Houssein ◽  
Mohamed Elhoseny ◽  
Abd El-mageid Ali
Keyword(s):  
Time Series ◽  
Performance Analysis ◽  
Internet Of Things ◽  
Real Time ◽  
The Internet ◽  
Fusion Model ◽  
Time Data ◽  
Iot Applications ◽  
Real Time Data ◽  
Smart Things

The Internet of Things (IoT) has penetrating all things and objects around us giving them the ability to interact with the Internet, i.e., things become Smart Things (SThs). As a result, SThs produce massive real-time data (i.e., big IoT data). Smartness of IoT applications bases mainly on services such as automatic control, events handling, and decision making. Consumers of the IoT services are not only human users, but also SThs. Consequently, the potential of IoT applications relies on supporting services such as searching, retrieving, mining, analyzing, and sharing real-time data. For enhancing search service in the IoT, our previous work presents a promising solution, called Cluster Representative (ClRe), for indexing similar SThs in IoT applications. ClRe algorithms could reduce similar indexing by O(K − 1), where K is number of Time Series (TS) in a cluster. Multiple extensions for ClRe algorithms were presented in another work for enhancing accuracy of indexed data. In this theme, this paper studies performance analysis of ClRe algorithms, proposes two novel execution methods: (a) Linear execution (LE) and (b) Pair-merge execution (PME), and studies sorting impact on TS execution for enhancing similarity rate for some ClRe extensions. The proposed execution methods are evaluated with real examples and proved using Szeged-weather dataset on ClRe 3.0 and its extensions; where they produce representatives with higher similarities compared to the other extensions. Evaluation results indicate that PME could improve performance of ClRe 3.0 by = 20.5%, ClRe 3.1 by = 17.7%, and ClRe 3.2 by = 6.4% in average.

scholarly journals Flood Detection and Water Monitoring System Using IOT

2020 ◽  
Vol 9 (07) ◽  
pp. 25113-25115
Author(s):  
Minakshi Roy ◽  
Prakar Pradhan ◽  
Jesson George ◽  
Nikhil Pradhan
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Mobile Application ◽  
Water Monitoring ◽  
The Internet ◽  
Computing Technology ◽  
Time Data ◽  
Smart Water ◽  
Flood Detection ◽  
Time Changes

Since we are now currently present in an era of Computing Technology, it is essential for everyone and everything to be connected to the internet. IOT is a technology that brings us more and more close to this goal. Our project comprises of a smart water monitoring system which is a small prototype for flood detection and avoidance system. This paper explains the working and the workflow of all the components present inside our project. The sensors sense the environment and sends real-time data to the cloud (firebase cloud) and users can view and access this data via their mobile platform. The model gives a warning after the water level rises to a particular height. Since it is a small scaled prototype for flood detection and avoidance system, the working of this model is good. The data are uploaded and changed in the cloud in precision to the sensor and real-time changes in the mobile application is achieved. This model can be used to greatly reduce the casualties in a devastating event of flood.

Design of Compaction Operation Monitoring System for Intelligent Vibratory Roller Based on Internet of Things

2021 ◽  
Vol 10 (1) ◽  
pp. 50
Author(s):  
Tao Li ◽  
Gangfeng Wang ◽  
Yunxi Zhang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
The Internet ◽  
Prototype System ◽  
Hardware System ◽  
Sensor Module ◽  
Working Parameters ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In recent years, an intelligent vibratory roller with adjustable mode has become the leading direction for the development of compaction equipment that can obtain the state of the pressed material during the compaction operation and then control the working parameters and the excitation mode of the whole machine according to the condition of the pressed material. The intelligent vibratory roller can better meet today’s requirements for compaction. This paper proposes a compaction operation monitoring system for an intelligent vibratory roller based on the Internet of Things. Firstly, a hardware system for real-time compaction operation monitoring was established, including the selection of a sensor module and signal conditioning module. Secondly, a method for real-time compaction monitoring data evaluation and analysis of compaction was proposed and a detailed analysis process of the compaction data was designed. Finally, the compaction operation monitoring prototype system based on the Internet of Things technology was designed and constructed.

The Internet of Things: Real-Time Monitoring System for Production Machine

2021 ◽  
Author(s):  
Masmur Tarigan ◽  
Yaya Heryadi ◽  
Lukas ◽  
Antoni Wibowo ◽  
Wayan Suparta
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
The Internet ◽  
Real Time Monitoring ◽  
The Internet Of Things

Study on the Intelligent Monitoring System for the Industrialized Producing Environment of Edible Fungus Based on the Internet of Things

2013 ◽  
Vol 427-429 ◽  
pp. 1028-1031
Author(s):  
Ling Yun Zhang ◽  
Hua Zhang ◽  
Peng Fei Zhang ◽  
Qiu Hong Yuan
Keyword(s):  
Environmental Factors ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Text Messages ◽  
Added Value ◽  
The Internet ◽  
Intelligent Monitoring ◽  
Edible Fungus ◽  
The Internet Of Things

The edible fungus industry has relatively high output rate and high added value. In the production of edible fungus, the environmental factors have great impacts. This paper studies the intelligent monitoring system for producing environment of the factory-farmed edible fungus based on the internet of things and aiming at online real-time management. The monitoring system can realize real-time surveillance and visual operation during production by dynamically regulating the environmental factors needed for growing edible fungus and early warning of the environmental parameters fluctuation with traceable history records at any time. When parameters like temperature and humidity are beyond reasonable range, warning will be sent via text messages and equipments such as air conditioners and warming devices will be automatically adjusted for on and off so as to raise management level, increase the output, improve the quality and lower the risks.

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