Indoor Path Planning and Decentralized Access Control in Commercial Buildings

Abstract

We describe a methodology for indoor path planning and controlling access to different spaces, equipment sensing and control points in a commercial building. We implement three services for sensitivity-cost quantification of building spaces, path planning, and decentralized access control through smart contracts. These services rely on information that is captured in the Brick and BOT models of a building. We develop a calendar application on top of these services to show that the proposed system can greatly reduce the administration overhead in a real commercial building while providing fine-grained access control.