Smart Hygiene+
Digital twin-based web management platform 2022
Cooperative works
Pei-Chi Tsai | Chien-Kai Kuo | Yen-Ching Chang | Sheng-Heng Liao

The “Smart Health Management System” uses digital twin technology to integrate with Building Information Modeling (BIM) to build a 3D visualized real-time space, allowing managers to easily monitor the real-time status of a site to respond to disposal, such as turning on air conditioning. The finished product is not limited to a single site application, but focuses on the system architecture – the system is applicable to any space with a large flow of people.

 #CityScience  #WebSystem  #Digital Twin  #BIM  #Real-Time

Smart Hygiene+
Digital twin-based web management platform 2022
Cooperative works
Pei-Chi Tsai | Chien-Kai Kuo | Yen-Ching Chang | Sheng-Heng Liao

The “Smart Health Management System” uses digital twin technology to integrate with Building Information Modeling (BIM) to build a 3D visualized real-time space, allowing managers to easily monitor the real-time status of a site to respond to disposal, such as turning on air conditioning. The finished product is not limited to a single site application, but focuses on the system architecture – the system is applicable to any space with a large flow of people.

 #CityScience  #WebSystem  #Digital Twin  #BIM  #Real-Time

    COVID-19 2020 caused the shutdown of many commercial and entertainment events around the world, and the International Olympic Games of that year also suffered a serious impact. The event will be accompanied by huge crowds, and the hygiene quality of the space is highly required for the collective activities under the epidemic.

 

    Through this proposal “Smart Hygiene Management System”, we hope to improve the overall hygiene quality of the venue by enabling the manager to easily check the hygiene status of each space through the smart dual-life model.

Concept

    We want to automate the control of interior quality through the digital twin technology developed by BIM. The data from the sensors are visualized in 3D in real time, and the space and its historical environmental parameters, such as air parameters, pedestrian flow status, etc., are displayed on a web page to assist managers or users in decision making.

 


    In addition, we use the collected data to predict user behavior and air changes by machine learning for automatic control and behavior suggestion. We want to achieve high quality indoor space comfort through the whole system.

Prototype

Prototype Trial: Research Office, Department of Engineering Science, National Cheng Kung University
Space size: 36.7 square meters (5.1m x 7.2m)
Base flow: 0 to 10 people
Usage: The staffs come and go from 8:00 to 19:00 on weekdays at irregular hours. The peak hours are usually 13 to 17.

Sensor Deployment

In the research office, we deployed Eagle Eye, a module provided by the company, and placed the Smart Air Detector (SD) in the most suitable position based on the results of the fluid dynamics simulation ventilation with the aid of the BIM, so that we could obtain the air health indicators and indoor pedestrian flow indicators of the site.

Once these two environmental indicators are obtained, we send the information to the IoT base station and create a database for it, and finally control the automated instrument through the Digital Twin Meter web page. After the control behavior occurs, when the sensor detects an improvement in quality, the control behavior can be corrected.

Database Construction

Scenario Setting

In order to define the criteria of space comfort, we refer to pathology experimental reports and environmental control related literature to assess the suitability of continued occupancy based on the sensing results of sensors. The sum of these index scores indicates the degree to which the space quality needs to be improved, and the corresponding scores can generate different responses.

Visualization Platform

We use JavaScript to build a supervisory web page through Autodesk Forge Api, so that any field model can personalize the interface, i.e. our system is universal. In this webpage, users can read sensor locations, historical data, visualize values, and even design control of air conditioning equipment through the platform.

Demo Video