Smart Sensor Event Localization for Centralized Home Control
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Solution Overview
Problem
In smart home environments, determining the target for control and its position is challenging, especially when a single control center manages multiple home appliances and lamps, requiring an effective method to identify and confirm sensor positions and events.
Innovation Solution
A smart detection system that uses multiple sensors and a robot to detect and confirm sensor positions through communication, identifying events by analyzing detection results and predicting event occurrences, with the robot capturing image frames and processing sensor data to match identification information with sensor information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are deployed to detect events in a smart home environment, then the coverage and detection capability are improved, but the complexity of identifying event positions and matching sensor information increases
Solution Approach 1:
The patent introduces an image as an intermediary carrier that contains identification information of the sensor. The central server captures an image of the sensor, extracts identification information from the image, and uses this to query sensor information from the database. This intermediary approach simplifies the matching process between multiple sensors and event positions by providing a visual reference that directly links sensor identity to location.
2Extent of automation
If a single control center manages all home appliances and lamps, then the centralization of control is improved, but the difficulty of determining target control and position increases
Solution Approach 1:
The patent implements a feedback mechanism where the central server sends a query request to the database using identification information extracted from sensor images, receives sensor information in response, and uses this feedback to determine the event position and target appliance. This closed-loop feedback process enables the centralized control system to automatically resolve target identification difficulties by continuously refining its understanding of sensor locations and associations.
3Reliability
If sensor confirmation is performed through communication between robot and sensors, then the accuracy of sensor position confirmation is improved, but the time required for sensor registration increases
Solution Approach 1:
The patent applies preliminary action by having the central server capture images of sensors and extract their identification information during an initial registration phase. This pre-established database of sensor images and identification information allows for rapid subsequent matching and position determination, reducing the time required for ongoing sensor confirmation while maintaining high accuracy through the pre-collected visual reference data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately identifies event positions and predicts user requirements, enabling precise control of home appliances and lamps by confirming sensor positions and processing event signals, enhancing the smart home automation experience.
Implementation Method 1
capturing first image frames, by the robot, containing the first indicating signal of the first sensor, wherein the first indicating signal is transmitted by an optical light
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.