Seeking Solution to Develop a Digital Twin that Accurately Predicts and Optimizes Building Operations and Management Using Real-time Data Analysis

The Electric Works Company of Panasonic Corporation is seeking innovative and effective ways to develop a digital twin that accurately predicts and optimizes building operations and management using real-time data analysis. Current building management systems rely on reactive maintenance, leading to unexpected downtime and high maintenance costs. The aim is to create a digital twin that can model building operations accurately and predict issues before they occur to reduce downtime and maintenance costs while improving overall building performance.

Key challenges to be addressed include:

•    Developing a digital twin that accurately models building systems and operations in real-time.
•    Creating a user-friendly interface that allows building managers and operators to easily input and analyse data.
•    Developing predictive algorithms that can anticipate and prevent potential issues before they occur.
•    Enhancing the visualization capabilities of digital twins to improve communication and collaboration among project stakeholders.
•    Creating tools that can be integrated into existing building management software and workflows (tools or the modules should be operated on the cloud system).

The proposed solutions should aim to improve the accuracy, speed, and usability of digital twins for building operations and management considering the needs of users and address the challenges. Successful solutions should demonstrate the potential to significantly improve the performance of building operations and maintenance, reduce downtime and maintenance costs, and improve the overall efficiency and sustainability of buildings.
 

The technology for the digital twin solution to include: 

1.    Analytical techniques for spatial data in real-time (fast and accurate)
2.    Interface system between sensors and actuators
3.    Data processing platform technology for collection, storage, analysis, and delivery
4.    Output of the analysis or prediction should at least several hours before the actual incident occurs

Please refer to attached “Proposal template” for more information.

It is preferred that a minimally viable prototype is available. 

A 3-phase approach will be adopted for this challenge:

Phase 1: Demonstration of Prototype
Phase 2: Selection of the most favorable solution based on a financial feasibility study, application suitability, collaboration viability
Phase 3: Further co-development of Prototype to TRL8/9 + Test-bed and Launch within a few year at with Panasonic
 

Mode of Collaboration:

Different modes of collaboration can be explored ranging from co-innovation, licensing and white labelling depending on the Technology Readiness of the technology.