System architecture for office productivity structure communications
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Solution Overview
Problem
Current office productivity systems lack effective integration of sensors and analytics to monitor and improve user posture, productivity, and workplace dynamics, leading to suboptimal work habits and reduced output.
Innovation Solution
A context-aware architecture integrated with office productivity structures, including task chairs, desks, and lighting, equipped with sensors that collect data on user interactions and environment conditions, and an analytics system that generates productivity models to provide feedback and adjust settings for improved productivity and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors and analytics systems are integrated into office furniture to monitor user posture and productivity, then productivity and posture monitoring capability is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing capabilities (pressure sensors, load cells, force sensors) and analytics functions into an integrated office furniture system. The sensors are embedded within the furniture structure itself, merging the monitoring function with the furniture object to reduce overall system complexity while maintaining high measurement precision for posture and productivity tracking.
Solution Approach 2:
The office furniture system is designed to perform multiple functions simultaneously: it monitors user posture, tracks productivity metrics, detects occupancy status, and provides feedback mechanisms. This multi-functionality is achieved through a unified platform that processes various sensor inputs to generate comprehensive analytics, thereby improving measurement capabilities without proportionally increasing complexity.
2Quantity of substance
If multiple sensors are integrated into office furniture to collect data on user interactions and environment, then data collection capability is improved, but manufacturing complexity increases
Solution Approach 1:
The patent divides the sensing system into modular segments that can be independently manufactured and then assembled into the complete furniture system. Sensors are grouped by function (pressure sensing, load sensing, environmental sensing) and integrated at appropriate locations within the furniture structure, allowing for standardized manufacturing processes and easier assembly.
Solution Approach 2:
Sensor integration points and data processing pathways are pre-configured during the furniture design and manufacturing phase. This preliminary action ensures that when the furniture is assembled, the sensing capabilities are already optimized and connected, reducing on-site configuration complexity and enabling comprehensive data collection from multiple sensor types.
Data Source
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AI summary
A furniture system includes a chair having a seat, a backrest coupled to the seat, and a base supporting the backrest and the seat. The furniture system also includes a plurality of sensors and a processor. Each sensor is operable to detect a physical force imparted by a user on the chair, and generate an output signal indicative of the physical force. The processor is coupled to the plurality of sensors, and is operable to receive the output signals generated by the plurality of sensors, and determine, based on at least one of the output signals, a current posture of the user sitting in the chair.