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Multi-source data management mechanism and platform

Technology Title

Multi-source Data Management Mechanism and Platform

 
Technology Overview

This technology includes a multi-source data management mechanism with delicate  components to address issues in multi-source data collection, analysis, integration, mining  and distribution, and a first possible embodiment of the mechanism a multi-source data  management platform to manage data from five sources with a high scalability and  performance is also presented.

 

The product can be a commercialized multi-source data platform. The application domain can  be various. However, the platform is initially designed to create a city data management  platform for Smart Cities. Moreover, such platform can also enable new services, such as  DaaS (Data as a Service), which share the data managed by the platform to third parties, and  Data management as a Service, which helps organizations to manage their multi-source data.

 

This technology can be sold to all the countries, especially the ones that are interested in  managing multi-source data to improve the smartness of their cities. The best example is  Singapore. The industries can also be various, but based on the service enabled by the  platform, the best fit companies are cloud service providers, especially the ones provide data  management services, e.g. SAP, IBM, etc.

Technology Specifications

The mechanism includes the following: 

 

  1. Data Collection Component to collect raw data from multiple sources actively and  passively;
  2. Data Analysis Component to cleanse and analyze raw data and to generate analyzed data;
  3. Data Integration Component to consolidate and integrate analyzed multi-source data for a consistent and unified data network linked through data integration dimensions;
  4. Knowledge Mining Component to mine knowledge from analyzed data on-line and off-line;
  5. Data storage component to support CRUD (Create, Read, Update and Delete) operations of four kinds of data, namely raw data, analyzed data, integrated data and mined knowledge consistently; and
  6. Data Distribution Component to share multi-source data generated in different phases.
Sector

Architecture, Engineering, Construction (AEC) sector

Market Opportunity

There is a growing market in the AEC industry for both consultants as policy makers to have  a better understanding of how various data streams can yield better designs in the built environment for better and more human centred solutions. This technology enables a platform that can achieve this goal. 

Applications

Applications of this technology are web-based platforms that bring together muti-source, multi scale, multi-time data for use by AEC industry players.

Customer Benefits 

This technology benefits tailored solutions for customers that yield data-driven designs that  are convincing for clients.

IP Status

US Patent US11461367B2 (Granted) 

Stage of Development

TRL 7

 

 

 

 

 

NAME OF TECHNOLOGY

 

MANAGER: Dennis Chan 

 

EMAIL: dennis_chan@sutd.edu.sg 

 

 

NAME OF PRINCIPAL

 

INVESTIGATOR: A/P Bige Tuncer 

 

EMAIL: bige_tuncer@sutd.edu.sg