Connected Device Rules Engine for Automated Event Sequences
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Solution Overview
Problem
Current social networking systems lack the ability to automatically generate and execute behavior-based rules for connected devices, leading to inefficiencies in managing device interactions and user experiences.
Innovation Solution
A system that evaluates event sequences from connected devices, scores them, and generates rules based on these scores to trigger instructions for connected devices, enhancing automation and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual management of device interactions is used, then system complexity is reduced, but productivity and automation capability deteriorate
Solution Approach 1:
The system automatically generates rules by analyzing event sequences from connected devices without requiring manual configuration. The rule generation engine autonomously identifies patterns, scores sequences, and creates executable rules, enabling the system to manage itself and eliminating the need for complex manual setup while maintaining high automation capability
Solution Approach 2:
The system pre-processes and analyzes event sequences in advance to identify patterns and generate rules before they are needed for device control. By evaluating historical event data and scoring sequences beforehand, the system prepares automation rules that can be immediately executed when triggered, reducing real-time complexity while maintaining high automation
2Measurement precision
If comprehensive event monitoring is implemented, then measurement precision improves, but loss of time increases
Solution Approach 1:
The system scores event sequences based on predefined criteria and thresholds, transforming continuous event data into discrete, actionable rules. By changing the parameter representation from raw event streams to scored sequences with confidence levels, the system achieves high detection precision while reducing evaluation time through efficient scoring mechanisms
Solution Approach 2:
The system applies different scoring weights and evaluation criteria to different types of events and sequences based on their importance and characteristics. By localizing the analysis focus to high-priority event patterns and applying targeted scoring rules, the system maintains high measurement precision for critical events while reducing overall processing time through selective evaluation
Data Source
AI summary
In one embodiment, a method includes receiving notifications of events associated with the connected devices, evaluating a plurality of event sequences that include two or more events occurring within a particular time period, and generating a plurality of rules based on the evaluated event sequences. The method further includes receiving a notification of a first event associated with a first connected device on the network, determining that a first rule of the plurality of rules is based on the first event, and sending one or more instructions to connected devices in accordance with the first rule.