Building Alarm Normalization Through Asset Context Mapping
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Solution Overview
Problem
Building Management Systems (BMS) lack visibility into the broader context of interconnected alarms, hindering proactive issue resolution and leading to inefficiencies and increased maintenance costs.
Innovation Solution
A method and system that converts raw alarms into normalized alarms using AI/ML techniques, mapping raw fields with predefined templates and asset information to generate normalized alerts, enhancing understanding of alarm interconnections and facilitating proactive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple raw alarms are generated from building systems, then alarm coverage increases, but visibility into broader context and interconnections is lost
Solution Approach 1:
The patent merges multiple raw alarms into a single normalized alarm by combining alarm data with associated asset information. This consolidation preserves comprehensive alarm coverage while restoring contextual visibility by linking individual alarm points to their parent assets and hierarchical relationships within the building system.
Solution Approach 2:
The normalized alarm structure serves multiple functions simultaneously: it maintains detailed alarm point information for specific monitoring needs while providing aggregated asset-level context for broader system understanding. This multi-functionality allows the same alarm mechanism to support both granular and holistic views of building system status.
2Productivity
If facility managers respond to individual raw alarms, then specific issues are addressed, but proactive identification of underlying problems is hindered
Solution Approach 1:
The system performs preliminary aggregation and normalization of alarms before they reach facility managers. By pre-organizing alarm data with asset context and hierarchical relationships, the system enables managers to take proactive action based on comprehensive information, rather than reacting piecemeal to individual alarms without context.
3Ease of manufacture
If raw alarms are used without normalization, then implementation is simple, but alarm interconnections and asset relationships are not visible
Solution Approach 1:
The normalization layer acts as an intermediary between raw alarm generation and facility manager presentation. This intermediate processing step adds contextual information and hierarchical relationships without requiring changes to the underlying alarm generation systems, thus maintaining implementation simplicity while enriching the alarm structure with necessary context.
Data Source
AI summary
A method and system to convert raw alarms into normalized alarms is disclosed. The method comprises the steps of receiving, via one or more processors, at least one raw alarm corresponding to at least one asset, having one or more raw fields. Further, the method comprises mapping, via the one or more processors, each of the one or more raw fields with corresponding one or more fields of a predefined template related to the at least one asset, to generate one or more normalized fields. The method further comprises receiving, via the one or more processors, asset information corresponding to the at least one raw alarm associated with the at least one asset. Thereafter, the method comprises generating, via the one or more processors, at least one normalized alarm based at least on the generated one or more normalized fields and the asset information.