Two technology firms, functioning within Hong Kong’s Smart Government Innovation Lab, have unveiled their available solutions that are now open for acquisition by companies and institutions.
Solution I – Digital Site Management Enterprise Platform
Solution description
The platform allows users to effectively manage multiple projects within a single, centralised platform while maintaining a unified data repository. It has been specifically tailored to cater to the needs of multiple parties and supports a multi-level contracting mechanism.
The integrated system, called DasIoT, seamlessly incorporates various IoT devices commonly used in construction sites. It provides users with RESTful APIs for effortless integration with multiple data sources. Moreover, the platform offers the flexibility of choosing between a managed AWS cloud platform or on-premises deployment, ensuring optimal deployment options based on individual preferences and requirements.
Application Areas
The solution was designed to be applied across the areas of Development, Infrastructure as well as on a construction site.
Technologies Used
The solution employs the latest in Cloud Computing, the Internet of Things (IoT), Mobile Technologies as well as Video Analytics.
Use case
The company offers an extensive selection of smart hardware devices that seamlessly integrate with the platform. These devices include smart helmets, collision warning systems, AI cams, CCTV cameras, smart air detectors, and various others.
By incorporating these devices into the platform, users can harness their advanced features and capabilities to facilitate efficient project management and bolster safety measures. The integration of these smart hardware devices enhances the overall functionality of the platform, providing users with valuable insights and enabling them to make informed decisions.
Solution II – AI-Powered Optimisation Software Platform Based on Digital Twins
Solution description
Digital twins have the potential to replicate the intricate nature of the real world, where each element is interconnected. However, merely simulating this complexity falls short in delivering tangible advantages for public services.
The proposed solution revolves around an AI-powered optimisation platform designed to identify the best parameters within complex systems. By using this platform, automated recommendations can be generated, thereby improving decision-making abilities.
The platform allows for optimisation processes to be conducted within the simulation domain, enabling tasks such as cost reduction in pumping while ensuring network pressure, as well as optimising HVAC systems to enhance building energy usage.
Application Areas
The solution was developed to be applied across the areas of City Management, Climate and Weather as well as Infrastructure.
Technologies Used
The solution employs the latest in Artificial Intelligence (AI), Data Analytics, Deep Learning, Internet of Things (IoT) and Machine Learning.
Use case
The proposed solution uses an AI-powered platform to enhance services like network optimisation and energy optimisation. By analysing historical data, predictive models are built as performance baselines. The optimisation platform then conducts searches to identify the optimal parameters, such as setpoints and sequencing, to improve system performance.
This approach ensures a reduction in pumping costs while maintaining network pressure, and it also leads to decreased energy consumption in HVAC systems. Decision-makers can leverage the data-driven insights provided by the platform to implement effective changes, resulting in significant cost savings.
In summary, the AI-powered optimisation platform enables improvements in network and energy optimisation. By using historical data and predictive models, it identifies the best parameters for optimising system performance. This approach leads to cost reductions in pumping and energy consumption, providing tangible benefits for decision-makers in public services.
