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GITA50001

Smart Deviation Alerts & Alarms

The anomaly that used to surface on next month's bill, flagged today.

  • Clause 9.1 Monitoring, measurement, analysis and evaluation
  • Clause 8.1 Operational planning and control
  • Clause 10.1 Nonconformity and corrective action

A target line only helps if someone is told when consumption crosses it. This module continuously compares live and near-real-time consumption against the EnPI baseline and statistical confidence bounds, raising an alert the moment a genuine deviation — not ordinary model noise — is detected. Alert rules can be configured per meter, per SEU or per tariff condition, covering absolute thresholds, rate-of-change spikes, missing-data gaps and demand or power-factor limits approaching their contracted threshold. Alerts route to the right recipient by role and escalate automatically if unacknowledged within a configurable window, while every alert is logged with its trigger condition, acknowledgement and resolution for later review. The same engine flags data-quality problems before they contaminate a baseline or a report.

Threshold and rate-of-change alerts

Configure absolute, rate-of-change and missing-data alert rules per meter, per SEU or per tariff condition, tuned to what actually matters at each point.

Statistical deviation detection

Compare live consumption against the EnPI baseline and its confidence bounds, flagging genuine deviations rather than ordinary day-to-day model noise.

Role-based alert routing

Route each alert to the recipient responsible for that meter, SEU or site, instead of broadcasting every notification to everyone.

Automatic escalation

Escalate an unacknowledged alert automatically to the next level of responsibility after a configurable time window has passed.

Alert log and resolution trail

Log every alert with its trigger condition, acknowledgement time and resolution note, building a searchable history of past deviations.

Data-quality alerting

Flag frozen readings, missing intervals and out-of-range spikes at the source, before they can contaminate a baseline or a report.

Gita 50001 Energy Management Dashboard
Overview
Monitoring
EnPI
Actions
Reports
Site 1 — Production Line ALast 12 months
Live data

Key Meters

  • Preheat Furnace

    612 m³/h gas

    6% above average6% above average
  • Compressor House

    284 kW

    3% below average3% below average
  • Cooling Tower

    96 kW

    Within normal rangeWithin normal range
  • Production Hall Lighting

    41 kW

    Data unavailableData unavailable
Consumption Heatmap
Sun
Mon
Tue
Wed
Thu
Fri
Sat
00
02
04
06
08
10
12
14
16
18
20
22
Lowest consumptionHighest consumption

Distribution of energy consumption by day of week and hour of day

Consumption Heatmap
000204060810121416182022
Sun180165210340480520560540510470380240
Mon175160205330470510555535505460375235
Tue182168214345485525565545515475385244
Wed178163208336476516558538508466378238
Thu190172220352494534574552522482392250
Fri140128150210260280300290275240200165
Sat110100115150190205215210200175150125
Consumption by Work Shift
Consumption by Work ShiftEnergy consumption across three shifts over the last four weeks010,00020,00030,000Week 1Week 2Week 3Week 416,300
  • Morning Shift
  • Afternoon Shift
  • Night Shift

Energy consumption across three shifts over the last four weeks

Consumption by Work Shift
Morning Shift (MWh)Afternoon Shift (MWh)Night Shift (MWh)
Week 111,8006,2001,800
Week 210,6005,4001,500
Week 312,2006,7002,000
Week 49,9005,1001,300

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The figures and charts shown on this website are illustrative sample data used to demonstrate the software's capabilities and do not reflect the actual performance of any organization.

  • A demand spike is caught in minutes, not discovered on next month's invoice.

  • Alerts reach the person who can actually act, not a shared inbox nobody checks.

  • An unresolved alert escalates automatically instead of silently expiring.

  • Every alert has a documented trigger, response time and resolution for later review.

  • Data-quality problems are caught before they reach a baseline, not after they distort it.

  • Configured alert rule library

  • Alert log with acknowledgement and resolution

  • Escalation history report

  • Data-quality exception report

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