Multi-Sensor Presence Control for Self-Learning Building Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current building automation systems fail to manage the entire range of activities within a room or space, often separating environmental control from security and entertainment systems, and lack the accuracy in detecting human presence and intrusion due to limited sensor types and configurations.
Innovation Solution
A premises automation unit equipped with a movement sensor, acoustic sensor, image sensor, light sensor, and presence resolver using neural networks to determine mammal presence, with a cognitive unit for learning and self-learning models to control equipment and maintain climate with minimal energy expenditure, while also incorporating a voice resolver and alarm system for security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensor types are integrated for comprehensive detection, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (movement sensor, acoustic sensor, image sensor, light sensor) into a single premises automation unit. This merging approach enables comprehensive detection of human presence through multiple modalities while integrating the complexity into one unified device rather than分散 multiple separate devices throughout the system.
Solution Approach 2:
The premises automation unit is designed as a multi-functional device that performs detection, classification, and control functions simultaneously. It can identify both human presence and intrusions using the same integrated sensor array, making the device universal in its application across different security and automation needs.
2Adaptability or versatility
If distributed control architecture is used, then system adaptability improves, but device complexity increases
Solution Approach 1:
The patent divides the building automation system into multiple independent premises automation units, each capable of autonomous operation. Each unit is installed in specific zones or rooms and can independently detect and respond to local conditions, allowing the system to adapt to different building layouts and requirements without requiring a complex centralized control architecture.
Data Source
AI summary
A security and automation unit for building, offices or homes includes multiple sensors and multiple resolvers. The resolvers include one or more of a presence resolver, an alarm resolver, a climate resolver, and an event resolver, and at least one resolver includes a neural network. The event resolver includes a self-learning module and at least one of a cognitive module and a proactive module. The self-learning module finds clusters of activation of pieces of equipment at recorded events. The cognitive module analyzes the clusters and modifies an associated scenario for at least one piece of equipment. The proactive module analyzes the clusters and creates at least one new scenario for at least one piece of equipment. The sensors include some of a movement sensor, an acoustic sensor, an image sensor, a light sensor, a CO2 sensor, a thermometer, and a humidity sensor.