scholarly journals An Integrated Mobile Augmented Reality Digital Twin Monitoring System

Computers ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 99
Author(s):  
F. He ◽  
S. K. Ong ◽  
A. Y. C. Nee

The increasing digitalization and advancement in information communication technologies has greatly changed how humans interact with digital information. Nowadays, it is not sufficient to only display relevant data in production activities, as the enormous amount of data generated from smart devices can overwhelm operators without being fully utilized. Operators often require extensive knowledge of the machines in use to make informed decisions during processes such as maintenance and production. To enable novice operators to access such knowledge, it is important to reinvent the way of interacting with digitally enhanced smart devices. In this research, a mobile augmented reality remote monitoring system is proposed to help operators with low knowledge and experience level comprehend digital twin data of a device and interact with the device. It analyses both historic logs as well as real-time data through a cloud server and enriches 2D data with 3D models and animations in the 3D physical space. A cloud-based machine learning algorithm is applied to transform learned knowledge into live presentations on a mobile device for users to interact with. A scaled-down case study is conducted using a tower crane model to demonstrate the potential benefits as well as implications when the system is deployed in industrial environments. This user study verifies that the proposed solution yields consistent measurable improvements for novice users in human-device interaction that is statistically significant.

2021 ◽  
Vol 9 (2) ◽  
pp. 27-36
Author(s):  
Sheikh Hasib Cheragee ◽  
Nazmul Hassan ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam

We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.


2014 ◽  
Vol 602-605 ◽  
pp. 2249-2252
Author(s):  
Jing Feng Wang

Based To solve the problem of incomplete monitoring information,single function and low extensibility of public bus monitoring system,a remote digital monitoring system of public bus based on embedded platform is designed. Bus stop announcer,CAN controller,satisfaction evaluator and other vehicle electronic equipment are integrated into vehicle terminal,which collect,transmit and feedback real time data such as the location of bus,bus station information,running state parameters,satisfaction and vehicle scheduling information. The remote monitoring center receives the data and generates the visualizations webpage at the same time. Bus remote monitoring system is established,and the operation efficiency and security of public bus is improved.After large amounts of running and tests,result of the test indicates the monitoring data received from this system is reliable and stabilized.


2018 ◽  
Author(s):  
Christopher Park ◽  
Emmamuzo Otobo ◽  
Jason Rogers ◽  
Farah Fasihuddin ◽  
Shashank Garg ◽  
...  

BACKGROUND Congestive heart failure (CHF) is a disease that affects about 6.5 million people in the United States with a mortality rate of around 30%. With the incidence rate projected to rise by 46% to exceed 8 million cases by 2030, projections estimate that total CHF costs will increase about to nearly $70 billion. Recently, the advent of remote monitoring technology has significantly broadened the scope of the physician’s reach in chronic disease management. Using remotely monitored health data, providers may be able to better manage and predict their patients’ outcomes, leading to reduced incidence and hospital admission costs. OBJECTIVE This project aimed to demonstrate the feasibility of a digital medicine engagement platform for CHF patients, including identifying factors associated with increased risk of readmission and assessing usage patterns of remote monitoring devices. METHODS The project included 60 patients admitted to Mount Sinai Hospital for CHF. A digital medicine platform by Rx.Health, called RxUniverse, was used to prescribe HealthPROMISE and iHealth mobile apps. Patients updated and recorded their CHF-related symptoms and quality of life measures daily on HealthPROMISE. Vital sign data, including blood pressure and weight, were collected through an ambulatory remote monitoring system that integrated the iHealth app and complementary consumer grade Bluetooth-connected smart devices (blood pressure cuff and digital scale). Physicians were notified of abnormal patient blood pressure and weight change readings and further action was left to the physician’s discretion. We used statistical analyses to determine risk factors associated with 30-day all-cause readmission. RESULTS Overall, there were six 30-day hospital readmissions (10%), compared to the national readmission rates of around 25%. Single marital status (P<.1) and history of percutaneous coronary intervention (P<.1) were associated with readmission. Readmitted patients were also less likely to have been previously prescribed angiotensin converting enzyme inhibitors or angiotensin II receptor blockers (P<.05). Notably, readmitted patients utilized the blood pressure and weight monitors less than non-readmitted patients, and patients aged less than 70 used the monitors more frequently on average than those over 70, though these trends did not reach statistical significance. The percentage of patients using the monitors at least once dropped steadily from 83% in the first week after discharge to 46% in the fourth week. Additionally, 88% of patients used the monitor at least 4 times and 62% at least 10 times, with some patients using the monitors multiple times per day. CONCLUSIONS Given the increasing burden of CHF, there is a need for an effective and sustainable remote monitoring system for CHF patients following hospital discharge. We identified clinical and social factors as well as remote monitor usage trends that identify targetable patient populations that could benefit most from integration of daily remote monitoring. In addition, we demonstrated that interventions driven by real-time vitals data may greatly aid in reducing hospital readmissions and costs while improving patient outcomes. Future studies should seek to implement remote monitoring and confirm usage trends as well as risk factors in a large-scale population.


Author(s):  
Ajinkya Rajendrakumar Kunjir ◽  
Krutika Ravindra Patil

After the tragic Coronavirus (COVID-19) pandemic was declared by the WHO (World Health Organization) in March 2020, social distancing and sanitization were recommended by top medical experts and health officials to help stop the virus spread. Research has sought to help people practice social distancing in public attractions such as museums and art galleries using touchless technologies. In the modern circle of innovation and technology, mobile augmented reality (MAR) is a touchless technology that adds layers of virtual information on top of real-world images. An individual can view 3D images and videos by pointing an AR-enabled device towards a piece of digital information. This paper describes the constructive use of the major design elements of MAR, which can directly be applied for impaired and non-impaired visitors to practice social distancing in museums and art galleries.


2020 ◽  
Vol 16 (3) ◽  
pp. 491-512 ◽  
Author(s):  
Vaggelis Saprikis ◽  
Giorgos Avlogiaris ◽  
Androniki Katarachia

Augmented Reality (AR) technology adoption has been growing worldwide in recent years. The potential of AR to blend digital information into the physical world has been a challenge for both academia and industry, who attempt to realize and anticipate its impact on users’ perceptions, adoption intention and use. The present paper is an empirical study aimed at making substantial suggestions and investigating an integrative theoretical paradigm which attempts to establish the significance of specific factors which allow using mobile augmented reality apps in shopping malls. The study employs information from the extant literature with a view to extending the Unified Theory on Acceptance and Use of Technology (UTAUT). The results show that performance expectancy, enjoyment and reward are direct determining factors of adopting the specific technology in shopping malls, whereas facilitating conditions, social influence, innovativeness and trust exert an indirect effect on behavioral intention adoption. The research findings have far-reaching theoretical and practical implications for the development, marketing and application of mobile AR apps in the context of the specific contemporary form of shopping.


2013 ◽  
Vol 765-767 ◽  
pp. 2208-2212
Author(s):  
Qian Hu Xiao ◽  
Shao Jie Weng

The previous measuring methods have the disadvantages of big workload, inaccuracy, high expenses and so on. A set of remote monitoring system that monitors soil moisture is developed by configuration software. This system makes online monitoring soil moisture, dynamic display of real-time data, historical data query and remote access come true. The test results in Haikou show that the system not only meets the requirements of monitoring soil moisture, but also is featured with good stability, accurate data and data sharing. It can be applied in many fields when changing the necessary sensors. The system is scalable and low-cost.


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