TANGRAM EMS AI 2.0
TANGRAM EMS AI 2.0integrates multi-dimensional sensor data — including temperature, pressure, and production metrics — to shift energy management from reactive monitoring to proactive anomaly prediction, building a dedicated AI-driven energy model for each facility. Every unit of energy is optimized at the source, directly reducing unnecessary carbon emissions.
Consultant AI rapidly identifies energy hotspots by location and time, delivers actionable energy-saving recommendations, and provides process optimization guidance rooted in energy consumption analysis — turning carbon reduction from a corporate slogan into executable daily decisions.
Predictive AI delivers three core capabilities: maintenance timing and equipment lifespan prediction (extending asset lifecycle and minimizing resource waste); factory demand and energy consumption forecasting (peak shaving, scheduling optimization, and renewable energy integration planning); and process parameter optimization through physical sensor feedback to control systems, eliminating inefficient energy use.
Automated Process Carbon Calculation automatically consolidates data across oil, gas, water, electricity, and labor to compute the complete carbon footprint of every production process — transforming carbon management from an abstract goal into precise, trackable metrics that support data-driven decarbonization decisions.
Platform Features at a Glance: Real-time plant-wide power distribution monitoring, peak/off-peak usage analysis, automated electricity cost calculation, process carbon footprint tracking, LINE/Email anomaly alerts, work order scheduling, and report export compliant with ISO 14064/14067/50001 international standards — with customizable formats to support ESG disclosure, carbon audits, and supply chain carbon reporting requirements.