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The Built Environment Case Competition<\/strong> was first idealised by a group of National University of Singapore (NUS) Civil Engineering students. With the help of NUS and the Building and Construction Authority (BCA), they managed to gain success in the inaugural BECC. The aim of BECC is to allow student participants to explore beyond the textbooks and delve into possible challenges faced in the Built Environment (BE) sector. Students will learn to appreciate the multi-disciplinary working environment by developing a realistic and complex solution that tackles a problem faced by Singapore’s Built Environment. This year, the case was revolved around technology, sustainability, productivity, and construction manpower. Students were expected to relate and evaluate the current COVID-19 situation, proposing solutions that can benefit the Singaporean BE sector.<\/p>\n Out of 46 teams that registered and submitted their papers, 10 teams emerged as finalists and were given the opportunity to present their solutions to industry experts on the competition day. In this webpage, you will find the video presentations of BECC’s Top 10 Finalists. If you are a party\/organisation interested in any of the solutions, contact us at BECC@ceclub.sg<\/a>.<\/p>\n AkuDoubleBuff has a 2 stage-approach with the ultimate aim of reducing Singapore’s reliance on migrant workers.<\/p>\n The first stage addresses COVID-19. To ensure worksite safety among migrant workers as construction work gradually resumes, we would utilise computer vision and image recognition to aid surveillance of things such as mask wearing and social-distancing at worksites.<\/p>\n The second stage addresses safety and productivity aspects of worksites in the long-run. Machine learning is utilised to prevent accidents before they even occur by improving safety management. Beyond safety, it can also be applied to improve productivity in terms of better manpower and resource allocation.<\/p>\n Click here to view AkuDoubleBuff’s video<\/a><\/p>\n BeKatCherLine’s proposal aims to provide additional seating capacity for food businesses in shopping malls, while also ensuring the safety of patrons from the risk of Covid-19 transmission.<\/p>\n The recommendation contains two parts: (i) a centralised dining space in mall atriums and (ii) a mobile application to coordinate the activities of food businesses that use the space.<\/p>\n The architecture of the centralised dining space centres reduces the risk of Covid-19 transmission by adopting strategies like compartmentalization and dedicated walking routes. The mobile application, used by businesses, reflects real-time availability of dining spaces and has processes to allow them to book a table.<\/p>\n Click here to view BeKatCherLine’s video<\/a><\/p>\n Introduction<\/strong><\/p>\n BEpossible comprises three NUS students passionate to make a buzzing change to the Built Environment Industry. Coming from the diverse backgrounds of Real Estate and Information Systems, we aim to raise productivity in the construction industry with our solution BEEs (Built Environment Efficiency System).<\/p>\n Our Solution <\/strong><\/p>\n BEEs is a mobile and web application that addresses construction productivity through a proprietary algorithm that broadens the marketplace network and reach of main-contractors and subcontractors, while easing contract management processes through blockchain. It aims to A.I.D the industry: Allocate<\/strong> Manpower efficiently, Increase<\/strong> transparency between Main-Con Sub-Con, Decrease<\/strong> unproductive construction practices.<\/p>\n Click here to view BEpossible’s video<\/a><\/p>\n DOMI is a platform that aids construction project managers in managing, track and disseminating their human and budget resources.<\/p>\n Main Features:<\/p>\n based on the parameters of an added task.<\/p>\n What will DOMI achieve for Singapore?<\/p>\n Click here to view cht\u00edzo’s video<\/a><\/p>\n Chong Chow Siew Pte Ltd strives to develop a time and resource management tool to help main contractors solve dynamic scheduling issues. This will be done via a cloud-based interface coupled with a communication platform to provide a consolidated and automated calendar for better management of changes in schedule. Following their MVP, they envision the use of data analytics to generate suggested schedules based on similar past projects.<\/p>\n Click here to view Chong Chow Siew Pte Ltd’s video<\/a><\/p>\n ConcreteAI proposes to replace the cube testing procedure with an AI powered sensor embedded within the concrete structure which measures and analyzes the early age development of in-situ concrete strength. The sensors are programmed to collect data points, such as the temperature and moisture of the concrete, over a service life of 30-40 days to provide concrete strength using the maturity method. The AI capabilities will be used to reduce calibration time to fit to vast types of concrete. With the sensors and its technology, we hope to shorten the construction cycle, reduce the amount of concrete used purely for testing, and increase overall productivity in the construction sector.<\/p>\n Click here to view Concrete.ai’s video<\/a><\/p>\n JSH2<\/sup> champions the use of exoskeletons to tackle the issue of low productivity and high reliance of manpower in the construction sector. Exoskeletons enhances productivity (~10%) of each labourer by significantly reducing muscle fatigue and increasing labourer’s morale. Exoskeletons provide an additional benefit of reducing long-term injuries such as Work-Related Musculoskeletal Disorders. These can be translated to cost and time savings for A&A\/MEP contractors in Singapore who are the main beneficiaries of exoskeletons due to their reliance on manpower. As a novel and affordable piece of technology, exoskeletons will bring a competitive edge to companies that choose to adopt it.<\/p>\n Click here to view JSH2<\/sup>‘s video<\/a><\/p>\n Tackling the most sensitive yet untalked-about issue of town, Sheng Ling Engineering Consultancy decided to achieve high levels of hygiene standards in foreign worker dormitories. Stated in the UN SDG Goal 6, which aims for Clean Water and Sanitation for ALL, Sheng Ling Engineering Consultancy has designed a robot to disinfect foreign workers dormitories and commercial real estates, for consistent hygiene upkeeping. It is embedded with AI-powered computer vision to recognise all surfaces of the objects in its path. All high contact points can be identified to be sanitised, leaving no surfaces to be missed by human error, ensuring sanitation for everyone.<\/p>\n Click here to view Sheng Ling Engineering Consultancy’s video<\/a><\/p>\n Better Together aims to increase productivity levels of workers in the construction industry by scheduling daily tasks, providing them with daily and weekly forecasts. Powered by AI and machine learning, this scheduling application breaks down the master work schedule and optimises simpler work tasks. By matching tasks to more skilful workers, value-added work can be achieved.<\/p>\n Furthermore, real-time updates of the construction site can be tracked, and workers’ schedules will be optimised accordingly. Our app also supports workers’ native languages and eliminates confusing workflows through a text light user interface which harnesses icons for quick visual communication.<\/p>\n Click here to view Team Green Recovery’s video<\/a><\/p>\n The Built Environment sector have long remained stagnant and requires an innovative solution to increase its productivity. Our proposed solution is to industrialize 3D construction printing. 3D Construction Printing is a process where elements are made by extruding specialised concrete via a robotic arm. To work towards our vision, we took a small step by first introducing 3D printed formwork. These formworks are more efficient, sustainable, economical and flexible in design. Due to high initial investment cost, firms can be set up through public funding. Eventually, 3D construction printing will advance the industry towards a manufacturing-like system of mass production.<\/p>\n Click here to view CEErious’s video<\/a><\/p>\nAkuDoubleBuff<\/strong><\/h3>\n
BeKatCherLine<\/strong><\/h3>\n
BEpossible <\/strong><\/h3>\n
cht\u00edzo<\/strong><\/h3>\n
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Chong Chow Siew Pte Ltd<\/strong><\/h3>\n
Concrete.ai <\/strong><\/h3>\n
JSH2<\/sup><\/strong><\/h3>\n
Sheng Ling Engineering Consultancy<\/strong><\/h3>\n
Team Green Recovery<\/strong><\/h3>\n
Why so CEErious <\/strong><\/h3>\n
Top 3 Teams <\/strong><\/h3>\n
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