Smart Scene Management Using Big Data for Adaptive Home Automation
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Solution Overview
Problem
Conventional home automation systems face difficulties in dynamically adapting to changes in user schedules and preferences, requiring manual reprogramming of automated features, which is inconvenient and limits the ability to easily add or modify smart energy utilization and comfort settings.
Innovation Solution
The system employs Big Data pattern analysis from sensors and cameras to automatically modify and create actuator files based on user activity patterns, allowing for intelligent management of static scenes, adding new features, and optimizing energy usage with minimal user intervention through cloud-based processing and dynamic control of actuators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual reprogramming is used to adapt automated features to changing user schedules, then system control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically monitors sensor data and user interactions to detect patterns, then autonomously modifies actuator schedules and scenes without requiring manual user intervention. The system serves itself by programmatically adjusting its own operation based on observed usage patterns.
Solution Approach 2:
The system continuously collects feedback from sensors and user interactions, analyzes this data to identify patterns, and uses this feedback loop to automatically adjust and optimize actuator schedules and automation scenes based on actual user behavior.
2Device complexity
If static scenes are pre-configured with fixed schedules, then device complexity is reduced, but adaptability deteriorates
Solution Approach 1:
The system transforms static, fixed schedules into dynamic schedules that automatically adapt based on monitored user behavior patterns. Actuator schedules and scene timings are no longer fixed but continuously adjusted according to observed usage patterns, making the system both simple to configure and highly adaptable.
3Productivity
If automated features are extensively programmed, then productivity is improved, but device complexity increases
Solution Approach 1:
The system automatically generates and optimizes automation schedules by monitoring its own usage patterns, eliminating the need for extensive manual programming. This self-programming capability maintains high productivity while keeping the system configuration simple for end users.
Data Source
AI summary
An automation system including sensors that detect threats within a secured area, a plurality of prospective events defined within a memory of the automation system, each event including at least a physical change in an environment of the secured area, a time of execution of the physical change and a corresponding actuator that causes the physical change, a processor of the automation system that periodically activates the corresponding actuator at the time of each of the plurality of events, a processor that monitors each of the plurality of sensors for activation by an authorized human user and that saves a record of each activation to a cloud memory and a cloud processor that monitors the saved activation records of each sensor over a time period, determines a difference between the saved activations and the plurality of events and that modifies the plurality of events based upon the determined differences.