METHODS AND SYSTEM DESIGN FOR PREDICTIVE CLEANING USING ARTIFICIAL INTELLIGENCE BASED SMART ALERTING

摘要

: This application provides system design and associated methods for implementation of a virtual cleaning supervisor (VCS) in smart buildings for enabling predictive cleaning in washrooms. Appropriate sensors are installed within a washroom at various locations that measure its cleanliness in real-time. This cleanliness quantification is facilitated by measuring the indoor air quality using concentrations of various gases, people usage pattern, wetness detection on floors, and consumer feedback. Artificial intelligence (AI) based machine learning algorithms are designed on the cloud servers that match the observed values with those observed in the past to detect anomalies and send cleaning alerts to respective cleaners if cleaning or a check is required. It is noted that this sensor network setup within washrooms does not involve the use of any camera based imaging systems. Further, reports are generated that allow facility managers to track cleaning operations and cleaning companies to evaluate their workforce using a time to service parameter generated by the AI engine. FIG. 3 best represents the invention to be published. References: 1) Restroom convenience center, US20090119142A1. 2) Technique for monitoring performance of a facility management system, US6389331B1. 3) Work and quality management system, device and method, WO2013144787A1.