Categories
Open Poster YPEC 2020

ON01 – Automatic Relay Monitoring Application (ARMA) with IoT LoRa Communication

The use of condition monitoring and Internet of Things (IoT) communication devices have become crucial in modern railway businesses. They do not only provide real-time data visualization and monitoring for important service-related components, but also safeguard service quality and minimize failures with the support of prescriptive maintenance. A non-invasive real time monitoring device has been invented and developed to measure data for train-borne relays. The design employs a high calibre microprocessor, IoT Long Range (LoRa) infrastructure along trackside and station and the transmission of data to IoT maintenance cloud platform with 4G wireless connection. With self-implemented hardware & software, the device can be adjusted easily based on different needs, ensuring flexibility in applications ranging from trainborne to track-side maintenance. The solution is also fully automatic, requiring minimum installation manpower and is physically isolated from the monitored equipment. Compare with conventional railway maintenance, ARMA allows timely prediction of equipment’s deterioration rate during traffic hours through analysis with in-house maintenance cloud system, making it possible to perform inspection & replacement before breakdown. Prototypes for the proof of concept with LoRa transmission capability via leaky coaxial infrastructure have been developed for the sake of seamless and low-cost connectivity even inside tunnels. With multiple tests conducted in workshops and on-site, the device will become a part of the newly developed IoT LoRa infrastructure of the railway network, highlighting the significance of fast response and automated IoT intelligent solutions in the railway industry.

Categories
Open YPEC 2020

ON02 – Detection of Rail Corrugation By Means of Supervised Machine Learning Technology

Rail corrugation is a common type of wear in all tracks. With the rising axle loads and train speeds for modern railway administrations, the demand of early detection has taken prominence. With new methodologies and algorithms arising, it remains a challenge for industries to decide which tool is the best fit. This project proposed a machine learning architecture for the detection of rail corrugation. The software developed in this project is based on the dataset obtained from an advanced FBG sensing system. A data pre-processing software was developed to extract signatures from the interaction of train wheels and rail. A J48 decision tree algorithm followed by advanced sampling techniques were utilized to ascertain its level of influence on the formation of corrugation. The problem was then modelled using various classifiers and their performance was evaluated by comparing their classification accuracies. The results demonstrate the effectiveness of the proposed approach with 97% accuracy. Hence, this method is fit for industrial application and its universal setting makes it applicable to various engineering disciplines. In short, the proposed approach offers robust performance advantages and, as fault detection being the preliminary stage of predictive maintenance, it also establishes a strong foundation for future development.

Categories
Open Pitching Video Poster YPEC 2020

ON03 – Development of a Common Spatial Data Infrastructure – Built Environment Application Platform

The Built Environment Application Platform (BEAP) takes forward the Common Spatial Data Infrastructure (CSDI) development strategy and provides a centralized platform for the development of applications covering aspects on city planning, infrastructure/engineering and environment to improve efficiency, transparency and support for decision making in planning and development, fostering interdepartmental cooperation and synergy. To tie in with the rapid urbanization around the world, the BEAP provides a valuable tool for users to help shape a better world and provide high quality services. The BEAP is developed on a cloud-based GIS solution to accommodate for different components to avoid single point of failure and enable future expansion. With the innovative use of various actionable datasets, the team developed 10 prototype applications to demonstrate the capabilities of the BEAP utilizing a digital twin approach and emerging technologies such as AI and BIM. In fact, the BEAP has already brought a significant amount of savings for its immediate users, which can further benefit a wide spectrum of stakeholders, from city-wide management to individual building owners, and ultimately citizens. It is envisioned that the BEAP can extend its services to not only the local Hong Kong context, but also to other cities in the world.

Categories
Open YPEC 2020

ON04 – Modu-Link

As the world struggles to address the recent pandemic there is an immediate need to develop affordable and sustainable solutions to improve the whole-life monitoring of new and existing building structures.

Although Modular Systems are an existing technique to fast-track production whilst providing a safer environment during manufacturing, their application in the construction industry is not widespread.

Team Modu-vation acknowledges that the Services in structures do not last the structure’s lifetime and this leads to early obsolescence and operational risk.

Using the concept of modularisation of building elements, we propose the development of Modu-Link comprising Modu-Struct, Modu-Serve and Modu-Sense to efficiently & economically manage the whole life of building structures. The Modu-Struct connection system is newly developed to address the major robustness issues criticised for modular structures. Modu-Serve allows easy installation and removal of MEP systems by implementing the use of push-fit fittings and mechanical joint couplings. Modu-Sense will report on real-time vital data from the MEP system allowing predictive maintenance and reduced downtime risk. Modu-Sense’s extensibility will be accommodated remotely by software updates.

Team Modu-vation believes that this combined IoT system will be the key driver for the present and the future of healthy buildings.

Categories
Open YPEC 2020

ON05 – Self-ventilation system for odor & infection control in aircraft toilets

For passenger aircrafts, the amount of flushing water was significantly reduced by the use of vacuum flushing. However, some flushing water is still needed, and the recirculated use of the water is necessary, which may lead to odor & infection concerns. It is also suspected that the during toilet flushing, even by vacuum flushing, some vapours may still escape into the lavatory. The idea of this project to examine the existing aircraft and other toilet design features for odor & infection control. One possible mechanism is to allocate part of the existing exhaust air through the toilet interior so that the toilet odour/infectious particles would not escape in the lavatory. Other possible development would be also given out.

Categories
Open Pitching Video Poster YPEC 2020

ON06 – Island in Blue

Island in Blue – a project revealing the possibility of future living style on the ocean.

Facing the serious global threat – sea level rise, due to the warming climate, engineers need to plan ahead for the future challenge. Island in Blue is a “floating island” in the sea to live in the future serving as a lifeboat for people living in low-lying areas. This project performs as a small pilot scheme discovering the feasibility.

The pilot Island can not only be a trial for the future living in the long run, but also facilitate the investigation works of ocean scientists or any other professionals to stay in the sea for a long period of time. Economically, the pilot Island can turn into a hotel for boosting tourism and economic activities in the coastal area.

On the Island, a major power source is solar energy provided by sufficient sunshine on the sea. The green technologies like smart glass, grey water reuse, etc. are applied. With the use of renewable energy and green technology, Island in Blue provides a low-to-zero carbon lifestyle as a self-sufficient structure.

Categories
Open YPEC 2020

ON07 – Online Circuit Breaker Monitoring System

Circuit Breaker (CB) is one of the most critical assets in our transmission and distribution network. Any failure of CB will result in severe supply interruption to the customers. So far, unless it is switched out for inspection and maintenance, there isn’t an all in one, robust and practical method to monitor the condition of CB continuously and identify the CB with incipient defect. Our project focuses on designing a tailored-made solution for Online Circuit Breaker Monitoring System (OCBMS) for a fleet of over one thousand CBs by monitoring the current profile of the trip coil of CBs. Through a statistical model and machine learning approach, circuit breakers with abnormal performance can be spot out and preventive action can be made immediately before the breakdown of those circuit breakers. The reliability of our distribution network can significantly be improved through our cost effective design.

Categories
Open YPEC 2020

ON09 – ConSense

Construction industry plays an important role in the Hong Kong economy and even the global. However, it has struggled for decades with low productivity and low profitability. Besides, there are loads of news that many construction projects are over budget and delay. The main reason is the quality of the works cannot be achieved, the working condition is unsafe for workers, poor collaboration and the information cannot be well managed. Sensory technology should be used to improve this situation Such as centralizing the information, enhancing collaboration so that all parties from workers to mangers can have a consense to understand the site condition and make insight from the sensory data so that they can work together effectively. Sensor network can be installed at any places on site to capture the data. Workers should connect to the sensors to register for the attendance and get the information by the AI Chatbot of the working place before they start the work. After captured the data, the AI Chatbot can send the useful information to workers to keep their awareness. The sensor can monitor the unsafe condition of working place and capture the unsafe act of workers automatically and send to the manager.

Categories
Open YPEC 2020

ON10 – Industrialization of Construction Process through I & T – Quarantine Camp

The outbreak of Coronavirus Disease-2019 (COVID-19) is evolving rapidly around the world. Early identification and isolation are indispensable measures to cope with the local spread. This leads to a surge in demand on quarantine units in the shortest possible time. To outpace the rapid development of the epidemic and address the imminent need for the quarantine camps, industrialization of construction process by combining Modular Integrated Construction (MiC) and Building Information Modelling (BIM) technologies was utilised in the successful delivery of recent quarantine camp projects undertaken by the Architectural Services Department of the HKSAR Government. MiC has introduced a novel engineering approach in design and construction whereby freestanding volumetric modules manufactured in a factory off-site and then transported to site for assembly. This presentation shares the experience in the quarantine camp projects that adopt MiC and BIM technologies, together with various innovative techniques, including real-time logistics cloud-based web-portal, AI-based detection algorithm, and applications of video-telephony and remote drones to facilitate the design, supervision, monitoring and construction works of the quarantine camp projects. The highly encouraging outcomes achieved throughout project delivery, such as less demand for site labour, shortened construction period and better building quality, would also be shared.

Categories
Open YPEC 2020

ON11 – Reborn existing buildings by AirPort Energy: a low-cost, ready-to-use air quality and energy management solution

It is a common knowledge that the Indoor Air Quality (IAQ) and Energy Saving have rooms for improvements in the commercial buildings in Hong Kong. The reasons behind include technical and financial difficulties because the existing buildings lack the ability to monitor and process the environmental data. The traditional solution would be cost-ineffective due to the extra works on cabling and network infrastructure. Our AirPort Light is capable of improving IAQ, being portable and energy saving. Our device collects environmental data from built-in sensors including Passive InfraRed, Particulate Matter, CO2, Temperature, Humidity and Air Pressure. After collecting data, the microcontroller will process the data to determine whether the current status is satisfactory or below standard. Afterwards it will transmit the results to the backend system. The backend system will control the air conditioning system and the lighting system to enhance the environment. Our solution is an all-in-one solution as never before to overcome the obstacles from the existing commercial buildings to bring a GREENER and HEALTHIER environment in a COST-EFFECTIVE way. This design is applicable to all buildings around the world. In the long term, it will have a huge impact in reducing the global energy consumption and improving IAQ.