EMS Remote Terminal Alarm Lifecycle for Multi-Site Noise Reduction
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Solution Overview
Problem
Energy management systems face challenges in managing alarms across multiple sites, leading to overwhelming notifications due to lack of proper lifecycle management and sensitivity, resulting in noisy or repeat alarms, and the administrative burden of configuring alarms at each site.
Innovation Solution
Implementing alarms with multi-stage lifecycle based on defined parameters for pending open and close durations, allowing for thorough testing before deployment, and enabling company-level configuration to inherit alarms across sites, along with email notifications and consolidated dashboard views for effective management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If alarms are enabled at the company level to inherit across sites, then alarm configuration efficiency is improved, but alarm noise and false alarms increase
Solution Approach 1:
The system performs preliminary testing of alarm definitions using historical data before deploying them to production environments. This allows validation of alarm behavior and tuning of parameters to reduce false alarms while maintaining sensitivity, thus resolving the contradiction between efficient company-level configuration and alarm noise reduction
Solution Approach 2:
The system implements a feedback mechanism where alarm performance is monitored and evaluated using historical data. Alarm definitions are refined based on this feedback to optimize the balance between detection sensitivity and false alarm reduction, enabling effective company-level deployment without overwhelming noise
2Reliability
If multi-stage alarm lifecycle with pending durations is implemented, then alarm reliability is improved, but system complexity increases
Solution Approach 1:
The alarm lifecycle is segmented into distinct stages (pending, active, resolved) with specific duration parameters for each. This segmentation provides clear state transitions and makes the complex reliability requirements manageable through structured phases, resolving the contradiction between reliability improvement and system complexity
Solution Approach 2:
The system implements dynamic alarm definitions where parameters such as pending durations and trigger conditions can be adjusted based on historical data analysis. This dynamic approach allows the system to adapt to different scenarios while maintaining a structured multi-stage lifecycle, balancing reliability with manageable complexity
3Measurement precision
If alarm sensitivity is enhanced to detect more conditions, then detection capability is improved, but false alarms and repeat alarms increase
Solution Approach 1:
Historical data is used in advance to test and tune alarm definitions before production deployment. This preliminary action allows optimization of sensitivity parameters to maximize detection capability while minimizing false alarms and repeat alarms through data-driven parameter selection
Data Source
AI summary
Methods for creating high quality alarms raise EMS operator awareness to abnormal conditions in monitored assets across multiple sites in a single EMS software platform. An embodiment includes steps for accessing an alarm designer software tool that contains a library of alarm definitions and the ability to create new alarm definitions, clone and edit existing alarm definitions, lock alarm definitions and delete alarm definitions. Applicable data is defined using channel attributes identifying which channel or channels associated with the multiple monitored sites are to be evaluated for alarming conditions. The alarm frequency, trigger conditions, pending open duration, close conditions, and pending close duration are also defined. Alarms can trigger upon one or more channels' behavior over periods of time and conditional relationships between multiple channels. Close conditions for an alarm can be, but are not required to be, the resolution of the trigger conditions.