OpSys
AI Native Intelligence

AI-Driven Energy Optimization

OpSys's AI-native energy efficiency platform delivers a unified "Hyper-vision" solution for comprehensive electrical management — integrating IT, OT, and IoT for proactive optimization across your entire portfolio.

From real-time busbar thermal monitoring to AI-driven demand management and ESG reporting, the platform delivers 15% total energy savings with payback under 18 months.

15%
Total Energy Savings
Payback < 18 months
85%
Fire Risk Reduction
24/7 thermal surveillance
20%
Maintenance Savings
AI predictive vs reactive
100%
Data Accuracy
Automated acquisition
Solution Architecture

Integrated Solution Architecture

Three interconnected layers from physical sensor data to AI intelligence and centralized visualization.

Layer 1

Data Acquisition

Tor Titan & Mercury sensors — 68+ electrical parameters
Busbar joint temperature & humidity monitoring
4G LTE Cat1 secure connectivity
Real-time data streaming to intelligence engine
Layer 2

Intelligence Engine

Tor Shield AI processing for optimization
Active/reactive energy analysis
Predictive failure modeling
Automated ESG/CO₂ reporting
Layer 3

Hyper-vision Dashboard

Bird's eye view of multiple sites
Real-time WhatsApp & Email alerts
Time-series parameter analysis
OpSys Centralized Dashboard
Core Capabilities

What the Platform Does

Active Energy Management

Tor Shield

Comprehensive synchronization and real-time tracking of Mains, Solar, and Genset power sources. AI-driven notifications for maximum demand to prevent equipment overloading and utility penalties.

Maximum Demand Alerts — prevent equipment overloading
Reactive Power Tracking — optimize capacitor bank sizing
Automated ESG & CO₂ reporting for sustainability compliance
Power factor correction and harmonic analysis

Critical Asset Protection

LT Panels & Busbars

Real-time joint monitoring with continuous tracking of temperature and humidity in busbar joints and LT panels using Tor Mercury wireless sensors. AI-based failure prediction prevents severe electrical casualties.

24/7 thermal surveillance — 85% reduction in electrical fire risk
AI-based failure prediction from thermal pattern analysis
Automated thermography reports for regulatory compliance
100% compliance with industrial safety standards

Predictive Maintenance

AI-Driven

Advanced AI engine analyzes equipment behavior patterns to predict failures before they occur, shifting from reactive break-fix maintenance to proactive predictive maintenance.

20% reduction in maintenance costs vs reactive approach
Equipment failure prediction 2–4 weeks in advance
Automated maintenance scheduling and work orders
Integration with CMMS and asset management systems

Energy Cost Optimization

Demand Management

AI-driven demand management reduces energy costs through peak shaving, load shifting, and tariff optimization. Delivers 12–15% energy savings with payback periods under 18 months.

12–15% energy cost savings through demand management
Peak shaving to avoid demand charges
Load shifting to off-peak tariff windows
Real-time tariff optimization across multi-site portfolios
Business Case

Financial Impact & ROI

Illustrative estimates based on typical industrial and commercial deployments, refined following site audit.

$150K–$220K
Annual Savings
Per major site through active energy management
14–18 Months
Payback Period
Rapid ROI from immediate energy waste reduction
> 35%
5-Year IRR
High financial attractiveness over project lifecycle
100%
Data Reliability
Automated real-time acquisition eliminates manual errors
MetricCurrent StateOptimized State
Energy Cost Savings
Unoptimized12–15% Reduction
Maintenance Cost
Reactive (Break-fix)20% Cost Reduction
Data Accuracy
Manual Logging100% Automated
Safety Compliance
Periodic Inspection24/7 Thermography

Implementation Roadmap

A phased approach ensuring minimal disruption and rapid time-to-value.

Phase 01

Audit & Setup

Weeks 1–4
Site assessment & infrastructure audit
Tor Titan & Mercury sensor deployment
Initial hardware calibration
Phase 02

Connectivity

Weeks 5–6
4G LTE Cat1 secure data flow setup
IoT gateway integration
Cloud platform synchronization
Phase 03

AI Calibration

Weeks 7–10
Baseline data acquisition
Tor Shield AI model training
Alert threshold & RCA validation
Phase 04

Full Optimization

Weeks 11+
Live optimization algorithms active
Full dashboard deployment
Ongoing performance monitoring

Start Your AI Energy Journey

Our energy efficiency team will conduct a site audit and deliver a site-specific ROI model within 2 weeks.