Multi-Sensor Event Positioning for Smart Home Target Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In smart home systems, determining the target for control and its position relies on sensor detection, which becomes challenging when a single control center is used to manage multiple home appliances and lamps simultaneously.
Innovation Solution
A smart detection system that utilizes multiple sensors to identify event positions or predict event occurrences by analyzing detection results, and includes a central server that receives event signals from sensors to determine the event position based on signal strengths and timing sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single control center is used to control all controllable home appliances and lamps, then the system structure is simplified, but the difficulty of determining the target to be controlled and its position increases
Solution Approach 1:
The patent divides the control system into multiple control centers, each responsible for a specific region or zone. Each control center manages sensors and appliances within its designated area, enabling localized control decisions. This segmentation reduces the computational burden on individual control centers and improves target determination accuracy by limiting the search space to relevant regions only.
2Measurement precision
If multiple sensors are deployed to improve event detection accuracy, then the measurement precision increases, but the device complexity increases
Solution Approach 1:
The patent combines data from multiple sensors detecting the same event by fusing their detection results. When multiple sensors detect an event, the system integrates their signals to confirm the event occurrence and determine its position more accurately. This merging approach enhances measurement precision while managing complexity through coordinated sensor operation rather than independent analysis of each sensor.
Solution Approach 2:
The patent introduces a central server as an intermediary that receives and processes detection results from multiple sensors. The central server coordinates sensor data fusion, event confirmation, and position determination, thereby managing the complexity of multiple sensors while achieving high measurement precision through centralized intelligent processing.
3Measurement precision
If multiple control centers are used to manage different regions, then the target determination accuracy improves, but the system complexity increases
Solution Approach 1:
The patent implements local quality by assigning different control centers to different regions, with each control center optimized for its specific area. Each control center has localized knowledge of sensors and appliances in its region, enabling faster and more accurate target determination within that region. The system manages overall complexity through clear regional boundaries and localized control logic.
Data Source
AI summary
There is provided a smart detection system including multiple sensors and a central server. The central server confirms a model of every sensor and a position thereof in an operation area. The central server confirms an event position and predicts a user action according to event signals sent by the multiple sensors.