Built Environment

Industries such as retail, transportation, worksites, and law enforcement increasingly demand robust safety and security solutions. Organizations managing multiple CCTV systems and vast video datasets need advanced video analytics for early threat detection, real-time monitoring, and informed decision-making. Cost-effective solutions that ensure data integrity and regulatory compliance are crucial. Without advanced analytics, organizations face challenges like slow manual reviews, limited real-time alerts, and delayed insights, which hinder timely incident detection and response. The intelligent video deep search and analytics solution addresses these issues by leveraging AI technologies such as deep learning, computer vision, and NLP. It enables real-time processing, quick text-based searches, and accurate detection of objects and behaviors. The code-free alert system allows for rapid deployment without technical expertise, enhancing surveillance capabilities, operational efficiency, and overall security.

The rapid development of digitalization is transforming the construction industry, addressing critical challenges such as high energy consumption, elevated management costs, and low operational efficiency. Traditionally, the industry has focused on construction while neglecting operations and maintenance (O&M), relying heavily on manual operations and human experience. These outdated methods are increasingly inadequate for meeting the current demand for smart buildings. Intense competition and high costs have rendered traditional models uncompetitive. Consequently, smart O&M has become essential for improving efficiency, reducing costs, and enhancing service quality in the building and construction industries. The technology owner has developed a full-chain solution that integrates software and hardware, based on their Artificial Intelligence of Things (AIoT) core technology. This solution covers all aspects of building O&M, from underlying hardware devices to upper-level software, intelligent algorithms, and platform services, offering a one-stop solution for various application scenarios. Covering the entire lifecycle of building electromechanical design, construction, operation, and maintenance, it facilitates the digital and intelligent transformation of both new and existing buildings. Additionally, comprehensive low-carbon and energy-saving solutions are provided to maximize the value of energy assets. Supported by digital twins and AI intelligent algorithms, and leveraging a digital platform, the technology owner delivers smart and green solutions to achieve efficient, low-cost, and low-carbon building operation and management. The technology owner seeks collaboration opportunities and partnerships with building portfolio owners and solution providers interested in digital upgrading, energy management, and O&M automation.

As the earth gets warmer, the cooling of living and working spaces requires more energy. Governments are enacting standards for eco-friendly buildings in response to increasing concerns about rising energy use and carbon emissions. A novel “self-cooling” solution can help buildings and automobiles to cool down without heavily relying on air conditioning, leading to greater energy savings. The technology offer is a high-performance passive radiative cooling paint (PRCP) using emerging nanomaterial technology. Different from conventional paint, this cooling paint combines high solar reflectivity with high thermal emissivity. Hence, the paint can reflect incoming solar radiation and emit thermal radiation simultaneously, achieving effective cooling even under direct sunlight.  The technology owner is interested in R&D collaboration and test-bedding with commercial and residential building owners, property developers and construction companies. The technology is also available for out-licensing to paint developers and manufacturers.

High-risk industrial sectors, notably the chemical industry, frequently experience severe safety incidents during production. Traditional risk management approaches, heavily reliant on manual efforts, often suffer from inadequate supervision, incomplete coverage, and suboptimal control. Addressing these challenges, the tech provider offers an advanced solution combining artificial intelligence technologies such as computer vision, the Internet of Things (IoT), and big data analytics. By utilizing existing enterprise cameras and sophisticated algorithmic servers, it establishes a video-based intelligent analysis platform for hidden risk management. This platform enhances overall safety through comprehensive risk perception, proactive hazard identification, predictive warnings, and visual decision-making aids, aiming for widespread and intelligent safety management across high-risk industrial environments.

In the development of communication networks, various challenges emerge in achieving wireless signal coverage in certain areas, while the cost of deploying traditional wired Ethernet remains prohibitive in specific locations. Industries accustomed to slower wired communications now seek high-speed alternatives to facilitate IoT integration and enhance operational efficiency, yet they are hesitant to undertake extensive rewiring efforts. Building networks across diverse settings, including buildings, condominiums, and factories, often encounters significant cost hurdles. This is primarily due to the need for multiple Wi-Fi repeaters to cover areas with poor signal reach, as well as the requirement for numerous network switches and construction work involving cable installation under floors and above ceilings. A solution lies in technology that facilitates data communication over existing wires within facilities, such as flat cables, twisted pair wires, coaxial cables, and power lines. The effective communication speed varies from several Mbps to several tens of Mbps, depending on the type of cable and the wiring environment. Moreover, this technology seamlessly integrates with Wi-Fi, Ethernet, and other existing infrastructures, providing a cost-effective approach to network construction. By leveraging these technologies, it becomes feasible to establish society's network infrastructure at a reduced cost, particularly in challenging environments such as concrete structures, underground areas, tunnels, and spaces with metal walls.

Reducing heat transfer across surfaces within built environments and transportation units is critical for optimising energy efficiency in thermal comfort systems and mitigating associated costs and carbon emissions. Implementing measures to minimise heat transfer help maintain liveable thermal conditions and promote environmental sustainability. Some of the efficient methods for reducing heat transfer from the surrounding environment include reflecting solar radiation and providing thermal insulation to minimise heat conduction through surfaces. The technology offered here is a nano-engineered aerogel paint designed to reduce heat transfer across surfaces in the built environment. Unlike traditional solar reflectance paint that merely reflects sunlight, this paint actively minimises solar heat absorption, reducing the reliance on cooling and air conditioning systems and resulting in significant energy savings. Additionally, the paint provides excellent weather resistance and reduces maintenance costs by shielding against ultraviolet (UV) and infrared (IR) emissions, moisture, algae, and fungal growth. Its superior coverage capabilities of up to 3 square meter per liter per coat further contribute to cost savings and ensure long-lasting protection for various surfaces. With a proven track record in increasing energy efficiency for containerised offices and refrigeration trucks, the technology owner is now seeking to expand into other applications through on-site testbedding and performance trials. These include warehouses and building rooftop insulation, enhancing data center energy efficiency, and numerous other potential applications.

Driving sustainability, efficiency and carbon reduction in data centres is a complex and increasingly challenging requirement. The increased global use of high-definition video streaming, conversational AI modelling technologies and online meeting platforms puts increasing strain on data centres.  To meet these complex challenges, an AI, data-driven solution is required. The proprietary solution proposed herein is a data acquisition and analytics system designed for deployment in data centres.  The solution employs non-intrusive clip-on current transformers which are easily installed at electrical distribution boards, which continuously gather current signatures information at a high sampling rate. This enables AI algorithms to detect subtle changes and patterns in the electrical signature of each connected asset or device. Monitoring electrical assets has traditionally been complex and costly, requiring multiple sensors and expensive systems, and often requires deployment near to the asset or device to be monitored. This has led to widespread under-monitoring, resulting in expensive maintenance and significant energy inefficiencies. The solution extracts a proprietary set of deep energy data from electrical devices such as, uninterrupted power supplies (UPSs), Chillers, power distribution units (PDUs) and air conditioning and can be easily installed on both new and existing infrastructure. It offers real-time monitoring and reporting on important metrics such as real-time power usage effectiveness (PUE) and enables automation of sustainability reporting. This technology offers an industry-changing solution: a non-intrusive cost efficient AI-powered monitoring system that is easy to install. It generates a proprietary data set that fuels machine learning algorithms, enhancing efficiency and reducing total cost of ownership for data centre managers and owners.  The technology owner is seeking opportunities to demonstrate the capabilities in the data centre environment, preferably based in Singapore.

Urban pipeline systems are vital, large, long-lived, complex, largely inaccessible, and aging, fraught with deficiencies and inefficiencies that result in massive losses of water resources and energy use. Thus, they present an enormous challenge to making cities sustainable, adaptive, and carbon neutral. This pipeline condition assessment technology is pioneered by experts who have leveraged advances in research and engineering science to deliver unique and optimal performances. The technology introduced the use of Time Reversal (TR) for defect detection and condition assessment of pipelines. In fact, TR technology is reliable, cost-effective, and has a long-range capability. It possesses the unique feature of providing high resolution while being non-intrusive and non-disruptive. The TR technology can detect existing leaks, bursts, blockages, malfunctioning devices (e.g., air valve), pipe wall strength condition, and harmful transient. The software provides the following functionality: Active testing: Actively probing the system to control the resolution of localization Passive testing: To detect bursts and harmful transients Real time monitoring: To assesses system dynamics and demand patterns On-demand and automatically generated reports On demand sensor control and sensor expansion Flexible & High sampling rate

Anti-corrosion is important for piping systems because corrosion can lead to several problems including reduced flow capacity, leaks and ruptures, contamination, increased maintenance costs and reduced lifespan. While there are several approaches to mitigate these problems, a possible approach is to utilise thermoplastic materials which are lightweight, durable, and resistant to corrosion. This technology is a thermoplastic piping system lined with HDPE/LDPE linings that is corrosion-resistant, do not generate any waste (waste material can be recycled) and has a reduced carbon footprint. The piping system is easy to assemble and install, providing long service lives due to the high-quality thermoplastic materials being deployed in the system. By laying these thermoplastic pipes underground using native soil without sand-bedding, a reduction in CO2 is achieved and offers users a sustainable piping solution against conventional piping materials. In combination with proprietary welding technologies, the technology has the lowest rate of leakages with high guarantee of preservation of drinking water quality when used in water piping systems. The technology owner is seeking for co-development and test-bedding opportunities with asset owners to integrate the technology into their infrastructure, particularly with hydrogen producing and transporting companies.