BIM-Based Real-Time Monitoring of the Equipment Maintenance of Property

The operation phase is not only the longest stage of the life cycle of a project, but also the moment when people accumulates most information of the project. Because of the secular and complexity of property management during the operation period, and as there is large amount of information loss during the several periods before operation, it is very difficult to manage equipments all through the way. Based on the BIM technology, authors build a database of the equipment operation parameters to solve this problem. This paper realizes the real-time monitoring of the update of equipment information, equipment maintenance and fault handling during the operation stage. The research puts forward a new way to improve the standards of property management which will lead to a better economic benefits.

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Design on Monitoring Watch for Arrhythmia

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.749.273 ◽

2013 ◽

Vol 749 ◽

pp. 273-276

Author(s):

Wan Ping Sun ◽

Yu Ying Zhang ◽

Ming Di Wang

Keyword(s):

Real Time ◽

Medical Personnel ◽

Dynamic Monitoring ◽

Real Time Monitoring ◽

Time Dynamic ◽

Equipment Operation ◽

Medical Institutions ◽

Result Analysis ◽

Arrhythmia Prevention

The widely crowd occurred arrhythmia. Studies have shown that more than 90% patients who suffer from sudden cardiac death has arrhythmia. Therefore, the real-time monitoring of arrhythmia is of great value for cardiovascular disease prevention, treatment and prognosis. Arrhythmia is now usually detected by electrocardiogram, echocardiogram, Holter monitor, etc. Such equipments are relatively expensive, and equipment operation and result analysis need to do by professional medical personnel of medical institutions. These equipments are not suitable for household use and long-term real-time monitoring. Therefore, a portable monitoring watch for arrhythmia with real-time dynamic monitoring is designed in this paper. Not only can the watch detect the occurrence of asymptomatic arrhythmia and the time point of arrhythmia, but also can analysis and diagnosed the kind of arrhythmia. So it has important application value for arrhythmia prevention and treatment.

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Design of a Remote Real-Time Monitoring System for Multiple Physiological Parameters Based on Smartphone

Journal of Healthcare Engineering ◽

10.1155/2019/5674673 ◽

2019 ◽

Vol 2019 ◽

pp. 1-13 ◽

Cited By ~ 4

Author(s):

Noman Q. Al-Naggar ◽

Husam Mohammed Al-Hammadi ◽

Adel Mohammed Al-Fusail ◽

Zakarya Ali AL-Shaebi

Keyword(s):

Power Consumption ◽

Low Power ◽

Real Time ◽

Monitoring System ◽

Mobile Network ◽

Economic Benefits ◽

Physiological Parameters ◽

Low Power Consumption ◽

Real Time Monitoring ◽

Accuracy Measurement

Background. Utilization of the widely used wearable sensor and smartphone technology for remote monitoring represents a healthcare breakthrough. This study aims to design a remote real-time monitoring system for multiple physiological parameters (electrocardiogram, heart rate, respiratory rate, blood oxygen saturation, and temperature) based on smartphones, considering high performance, autoalarm generation, warning transmission, and security through more than one method. Methods. Data on monitoring parameters were acquired by the integrated circuits of wearable sensors and collected by an Arduino Mega 250 R3. The collected data were transmitted via a Wi-Fi interface to a smartphone. A patient application was developed to analyze, process, and display the data in numerical and graphical forms. The abnormality threshold values of parameters were identified and analyzed to generate an autoalarm in the system and transmitted with data to a doctor application via a third-generation (3G) mobile network and Wi-Fi. The performance of the proposed system was verified and evaluated. The proposed system was designed to meet main (sensing, processing, displaying, real-time transmission, autoalarm generation, and threshold value identification) and auxiliary requirements (compatibility, comfort, low power consumption and cost, small size, and suitability for ambulatory applications). Results. System performance is reliable, with a sufficient average accuracy measurement (99.26%). The system demonstrates an average time delay of 14 s in transmitting data to a doctor application via Wi-Fi compared with an average time of 68 s via a 3G mobile network. The proposed system achieves low power consumption against time (4 h 21 m 30 s) and the main and auxiliary requirements for remotely monitoring multiple parameters simultaneously with secure data. Conclusions. The proposed system can offer economic benefits for remotely monitoring patients living alone or in rural areas, thereby improving medical services, if manufactured in large quantities.

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Real Time Monitoring of a Distribution Transformer based on IoT

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset207243 ◽

2020 ◽

pp. 158-166

Author(s):

U. Subha ◽

N. Dinesh ◽

T. Satish Kumar ◽

K. Sai Kumar ◽

G. Bala Sampath Reddy ◽

...

Keyword(s):

Embedded System ◽

Real Time ◽

Economic Loss ◽

Physical World ◽

Economic Benefits ◽

Distribution Transformer ◽

Real Time Monitoring ◽

Load Current ◽

Current Voltage ◽

Temperature And Humidity

In this project represents the real time monitoring of a distribution transformation based on iot, i.e. Implemented on a mobile embedded system to measure to load current, voltage, temperature and humidity. The internet of things is an online based working of physical devices, vehicles and other objects which consists of an embedded system with sensors, actuators and network connectivity that collect and exchange data. The iot allows the objects to be sensed and/or controlled remotely across the existing network of the physical world into computer-based systems, and result in improved accuracy, efficiency and economic benefits. It is installed at the distribution transformer site. The load current, voltage, temperature and humidity of the distribution transformer is measured by the sensors are processed and recorded in the system memory. The system is programmed with a code to check the abnormal condition. The iot will help the utilities to monitor the distribution transformer in minute to minute date transfer to the user to identify the problems before any catastrophicfailure occurs. Hence the minute to minute monitoring of a distribution transformer health measuring will help us to identify or predict the unexpected situations before any fault occurs which leads to a greater economic loss.

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