Alerts for Anomaly and Fault Detection in Building Energy Systems
Continuous monitoring of energy system performance is crucial for identifying abnormal conditions that impact operations. As systems become more complex, real-time anomaly detection plays a key role in maintaining reliability, reducing downtime, and ensuring data integrity.
Designed by Accuenergy, AcuCloud is a SaaS energy management software that enables users to configure alerts across facilities and metering points. By defining threshold- and behaviour-based rules, users can detect performance issues early and respond before they escalate.
Configuring Alerts Across Facilities and Devices
Alerts in AcuCloud are defined by parameters that determine when and how conditions are triggered.
AcuCloud supports multiple alert types, including parametric alerts for threshold-based conditions, offline alerts for communication loss, and flatline alerts for detecting inactive data. This enables both performance monitoring and system fault detection across devices.
Users can enable or disable alerts and assign them to specific devices within selected facilities. Evaluation intervals can also be defined to control how frequently conditions are checked, ensuring alignment with system and operational requirements.
Time-Based Alert Scheduling
Monitoring schedules can be tailored by defining active days (daily, weekdays, or custom ranges) and time windows (full-day or specific intervals), allowing alerts to reflect actual operating conditions.
Alert Notification Settings
Users can assign multiple recipient email addresses and define notification intervals to control how often alerts are sent after a trigger, ensuring timely response and coordination across teams.
Alert Visualization and Event Analysis
When an alert is triggered, AcuCloud provides detailed visibility into the event, including the associated facility, device, monitored parameter, and threshold condition. Users can also document corrective actions within the alert record to support issue tracking and resolution.
The event can be analyzed using the alert analysis chart that displays parameter trends and trigger events. Users can adjust the timeframe, download charts in PNG format, and review timestamp data. Timestamp data can also be exported as CSV for further analysis and reporting.
Built on Accurate Data for Reliable Alerting
Effective alerting depends on accurate energy data. Built on Accuenergy’s metering expertise, AcuCloud leverages high-resolution measurements from both Accuenergy and third-party devices to ensure alert conditions reflect actual system performance, reducing false triggers and improving fault detection.
To learn more about AcuCloud Energy Management Software, visit
www.accuenergy.com/acucloud.
This multipart series will cover key aspects of AcuCloud, including:
- Automated Billing and Performance Reports
- Centralized Data Management with Custom Dashboards
- Managing Users, Roles, and Permissions
- Alert Configuration for Anomaly Detection and System Faults
- Facility Configuration for Effective Energy Management
- Analyze Energy Data Across Facilities