Smart Home Router Context Detection for Autonomous Device Control
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Solution Overview
Problem
Routers in smart home systems are unaware of the content of data communicated between smart devices and service providers, limiting their ability to effectively control and manage multiple devices efficiently.
Innovation Solution
Implementing sensors within the smart home environment to detect and provide secondary data to the router, allowing it to interpret the content of command signals by correlating sensor data with smart device data, thereby creating a data log and generating command assumptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensors are added to provide context data to the router, then the router's ability to control smart devices is improved, but the device complexity increases
Solution Approach 1:
The patent introduces sensors as intermediary devices that mediate between smart devices and the router. These sensors detect environmental parameters (temperature, humidity, motion, light) and provide context data to the router, enabling the router to make informed control decisions without direct communication with service providers. The sensors act as a bridge that translates physical environmental states into actionable data for the router's control logic.
Solution Approach 2:
The system enables the router to autonomously control smart devices by processing sensor data locally. Instead of requiring constant communication with external service providers, the router uses the sensor network to self-determine when and how to control devices based on real-time environmental conditions. This self-service capability reduces external dependency and improves response time.
2Productivity
If the router autonomously controls smart devices using sensor data, then communication with service providers is reduced, but the measurement precision requirements increase
Solution Approach 1:
The patent implements a feedback mechanism where sensors continuously monitor environmental parameters and feed this data back to the router. The router processes this feedback information and adjusts its control decisions accordingly. This closed-loop feedback system enables the router to make precise control decisions by continuously comparing actual environmental conditions with target conditions, thereby reducing the need for high-precision single-point measurements.
Data Source
AI summary
A system includes a computing device comprising a processor and a memory with instructions configured to cause the processor to identify smart devices communicating with service providers and extract smart device data associated with the smart devices. The smart device data is indicative of command signals sent from the service providers to control the smart devices to perform actions. The processor may identify sensors disposed within a proximity of the smart devices and configured to collect sensor data associated with the smart devices and receive the sensor data from the sensors, where the sensor data is indicative of the actions performed by the smart devices. The processor may identify command assumptions based on the sensor data and the smart device data, where the command assumptions correspond to a content of the command signals and provide the command assumptions to an electronic device for display.