Building Sensor Event Sequencing for Consolidated Alerts
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Solution Overview
Problem
Current building management systems lack efficient methods for aggregating sensor data to manage actions and notifications effectively, leading to unnecessary user alerts and inefficient response to events within or near a building.
Innovation Solution
A method and system that store sequences of sensed conditions as events, allowing for comparison with real-time data to identify matching conditions and trigger recommended responses, including user-defined and externally recommended actions, to deliver summarized notifications to remote devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple sensor triggers are aggregated into a single action, then notification efficiency is improved, but system complexity increases
Solution Approach 1:
The patent combines multiple sensor triggers into a single unified action by defining event sequences that correlate multiple sensor conditions. When a predefined sequence of sensor events occurs, the system generates one consolidated notification instead of multiple separate alerts, thereby improving notification efficiency while managing complexity through structured event definitions.
Solution Approach 2:
The system segments the complex task of event monitoring into manageable components by defining discrete event sequences with specific conditions and actions. Each event type is independently configured with its own sequence of sensor conditions, making the overall system easier to manage and modify despite handling multiple sensors.
2Measurement precision
If event sequences are defined with multiple conditions, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system performs preliminary action by pre-defining event sequences with specific condition patterns before actual event detection occurs. These predefined sequences include the expected order and type of sensor conditions, allowing the system to automatically match real-time sensor data against known patterns without complex real-time analysis.
Solution Approach 2:
The system uses feedback mechanisms to continuously monitor sensor conditions and compare them against predefined event sequences. When sensor readings match the expected pattern in a sequence, the system triggers the associated action, providing accurate event detection through systematic comparison and feedback loops.
Data Source
AI summary
A building management system comprising a plurality of sensors, each sensor of the plurality of sensors configured to detect a condition of the building is disclosed. The system may further comprise a memory for storing one or more events, each event configured to identify an action from a sequence of sensed conditions, a communications module configured to communicate with a remote device over a network, and a controller operatively coupled to the first sensor, the second sensor, the memory, and the communications module. The controller may be configured to compare the plurality of sensed conditions to the one or more events to identify an action and determine what, if any response is required, and if a response is required, provide a notification to the remove device via the communications module.