Automated Building Asset Condition Assessment

A global Fortune 500 Commercial Real Estate Services and Facilities Management company is seeking innovative tools, models, solutions or services for automated asset data collection.

Application Deadline
September 30th, 2024
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Summary

Background

This Challenge has been submitted by a global Fortune 500 Commercial Real Estate Services and Facilities Management company which serves clients in over 100 countries.

Our Client has an asset management platform and BMS integration capabilities, but condition surveys by RICS surveyors are time-consuming and expensive. Our client is looking for automated asset condition and collection products.

Challenge

In the real estate industry, accurately collecting and maintaining building asset data is crucial for effective property management, maintenance, and decision-making. Traditional methods of manual data collection can be time-consuming, error-prone, and expensive. Therefore, the challenge is to create an AI and machine learning solution that can automate the process of identifying and collecting building asset data, enabling companies to streamline operations and make data-driven decisions.

Key Requirements:

Data Collection Automation: Develop sophisticated algorithms and models that can automatically collect and organize data on building systems and equipment (ex: boilers, HVAC, electrical, BMS, BAS, pumps, etc.) This includes capturing information such as make, model, serial number, condition, age, and energy consumption. 

Accuracy and Reliability: Ensure the AI solution can accurately identify and categorize various building assets, minimizing errors and inconsistencies in data collection.

Scalability: Design a solution that can handle global-scale data collection across multiple markets, properties, enabling real estate companies to efficiently manage their portfolios.

Adaptability: Create algorithms that can adapt to different types of buildings, architectural styles, and asset configurations. 

Applications may fall into but not be limited to the following categories:

  • Robotics/drone tech
  • Computer Vision
  • Natural Language Processing (NLP/OCR)
  • LiDAR
  • Point NeRF

Other categories are not listed but are of interested. Our client is particularly interested in solutions that are ready for implementation.

The following are not of interest.

  • Building Management System data extraction/normalisation
  • Manual asset data collection
  • Models that need further training on identification of assets

The Client already has access to an asset management data system, they are looking for automated condition surveys, e.g. age, make, model, condition, etc.

What's in it for you?

  • Become an approved supplier to the challenge author
  • Access to client lists who are seeking your services
  • Integration into the challenge author’s Product Library/core services
  • Access to investment/capital funding

This is a global challenge and our client is willing to collaborate with both individuals/freelancers and other industry participants/universities etc.

If you have or are developing solutions, or if you have expertise in the above, please click "Apply" to submit your solution/expertise to the Network.