Sensor-Driven Motorized Furniture Layouts for Automatic Reconfiguration
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Solution Overview
Problem
Existing motorized furniture systems lack the ability to dynamically reconfigure in response to various environmental and occupancy scenarios without human intervention, limiting their adaptability and safety features.
Innovation Solution
A system that integrates motorized furniture with a smart property ecosystem, utilizing sensors to interpret data and dynamically adjust furniture configurations based on detected scenarios, such as climate control, maintenance, emergencies, extreme weather, asset protection, and wellness, to optimize functionality and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If motorized furniture is integrated with sensor systems for automatic reconfiguration, then adaptability and safety are improved, but device complexity increases
Solution Approach 1:
The motorized furniture system is designed to perform multiple functions beyond basic seating or storage. The furniture includes integrated sensors (motion detectors, weight sensors, temperature sensors), communication modules, and motorized adjustment mechanisms that enable it to detect occupancy, monitor environmental conditions, automatically reconfigure based on detected scenarios, and communicate with other smart property devices. This multi-functionality allows a single furniture unit to serve as both furniture and a smart property monitoring device, improving adaptability while managing complexity through integration.
2Productivity
If furniture automatically reconfigures based on sensor data, then productivity and response time are improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-programming response configurations for various detected scenarios. When sensors detect specific conditions (such as motion patterns indicating an emergency, temperature thresholds, or occupancy changes), the furniture automatically transitions to pre-determined optimal configurations. For example, upon detecting an emergency scenario, the furniture pre-configures to provide clear pathways to exits; upon detecting high occupancy, it pre-configures to maximize space utilization. This approach enables rapid response without complex real-time decision algorithms, improving productivity while managing complexity through scenario-based automation.
3Measurement precision
If multiple sensors and control systems are integrated into furniture, then measurement precision and scenario detection are improved, but device complexity increases
Solution Approach 1:
The patent merges multiple sensor systems and control functions into the furniture structure itself. Motion detectors, weight sensors, temperature sensors, and communication modules are integrated directly into the furniture units rather than being separate components. This consolidation allows the furniture to simultaneously perform its primary function and act as a smart property monitoring device. The merged system detects various scenarios (emergency, high occupancy, extreme weather, asset protection, intrusion, wellness needs) with high precision while managing complexity through unified architecture where a single furniture unit serves multiple purposes.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for validation of mobile device workflows. In some implementations, sensor data is received from a sensor located at a property. Based on the sensor data, an event that is occurring at the property is determined. Based on the event that is occurring at the property, a configuration for furniture located at the property is determined. Instructions are provided to the furniture to move into the configuration.