Smart Scene Management Using Sensor Pattern Feedback

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

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 features.

Innovation Solution

The system employs Big Data pattern analysis from sensors and cameras to automatically modify and create new actuator files based on user activity patterns, allowing for intelligent management of static scenes, adding, modifying, or disabling existing scenes, and proposing new actions for user confirmation, thereby enhancing user comfort and convenience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual reprogramming is used to adapt automated features to user schedule changes, then the system can be customized to user needs, but the ease of operation deteriorates due to the inconvenience and complexity of reprogramming

Engineering Contradiction:

Improveadaptability to user schedule changesVSAvoidease of reprogramming

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically monitors sensor data, detects user activity patterns, and generates modified actuator files without requiring manual user intervention. The processor autonomously analyzes sensor inputs, identifies patterns, and adjusts automated features to match observed user behavior, making the system self-adapting and eliminating the need for manual reprogramming.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors sensor data regarding user activities and uses this feedback to automatically adjust and modify actuator files. The processor analyzes the collected sensor information, compares it with existing automated features, and generates updated configurations that reflect actual user patterns, creating a closed-loop adaptive system.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If the system continuously monitors and analyzes sensor data to automatically adapt features, then adaptability improves, but the use of energy increases due to continuous data processing

Engineering Contradiction:

Improveautomatic adaptation to user patternsVSAvoidenergy consumption for data processing

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system monitors sensor data continuously but performs pattern analysis and generates modified actuator files at periodic intervals rather than in real-time. The processor collects sensor data over defined time periods, analyzes patterns periodically, and updates automated features at these intervals, reducing the frequency of intensive processing operations and associated energy consumption.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system collects and stores sensor data over defined time periods before performing pattern analysis. By accumulating data preliminarily and analyzing it in batches rather than processing every data point immediately, the system reduces the instantaneous processing load and energy consumption while maintaining accurate pattern detection.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If the system collects and stores sensor data over extended time periods for pattern analysis, then measurement precision of user patterns improves, but the loss of time for data collection increases

Engineering Contradiction:

Improveprecision of user pattern detectionVSAvoidtime required for data collection

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system collects sensor data over defined time periods that are sufficient to detect meaningful patterns without requiring excessively long collection periods. By analyzing patterns in partially complete data sets and updating automated features progressively, the system achieves adequate measurement precision while minimizing the time delay before adaptation occurs.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS10539938B2Method of smart scene management using big data pattern analysis

Publication Date: 2020.01.21 RESIDEO LLC

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.