Intelligent Sustainability Platform #
Newboot’s Environmental Monitoring System (EMS) is an advanced AI-powered system that transforms raw operational data into actionable sustainability insights. Our platform uniquely combines telemetry data (energy consumption) with contextual operational data (machine parameters, production orders, raw material usage) from diverse sources including:
- IoT sensors and smart assets
- Data lakes and warehouses
- Time-series databases
- Real-time data streams
- ERP/MES systems
Through Digital Twin technology, we establish dynamic relationships between these data dimensions, enhanced with carbon footprint metrics and energy source mix data for complete environmental intelligence.
Core Capabilities #
Comprehensive Data Integration #
- Multi-source ingestion: Connect to any data source (OPC-UA, Modbus, MQTT, SQL/NoSQL databases, REST APIs)
- Contextual data fusion: Correlate energy use with:
- Production throughput
- Equipment efficiency metrics
- Raw material consumption
- Maintenance records
- Energy attribution modeling: Allocate consumption to specific processes/products
Advanced Analytics Features #
| Feature | Description | Business Impact |
|---|---|---|
| CO₂ Footprint Engine | Real-time carbon accounting per machine/process/product | Compliance reporting Scope 1-3 emissions |
| Energy Source Intelligence | Track renewable vs. fossil fuel mix with marginal emissions factors | Green energy optimization |
| AI-Powered Optimization | Machine learning models suggest efficiency improvements | Typical 12-25% energy reduction |
| Predictive Sustainability | Forecast future emissions based on production plans | Proactive carbon management |
Business Intelligence Modules #
Dashboard Suite #
| Dashboard | Key Metrics | Visualization | Actionable Output |
|---|---|---|---|
| Energy Carbon Map | kWh/ton produced, CO2e by line | Geospatial heatmap | Identify high-impact areas |
| Green Energy Mix | Renewable %, RECs utilization | Donut + trend chart | Procurement strategy |
| Efficiency Benchmark | OEE vs. Energy Intensity | Scatter plot | Target improvement projects |
Reporting Features #
- Automated compliance reports (ISO 50001, GHG Protocol)
- Customizable KPI exports (PDF, Excel, Power BI)
- Regulatory alert system (changing emission standards)
AI Optimization Tool #
Three-tier analysis framework:
- Diagnostic Layer
- Energy waste detection
- Equipment-specific baselining
- Predictive Layer
- Forecast energy needs based on order book
- Simulate impact of process changes
Value Proposition #
| Benefit | Implementation Example | Typical Outcome |
|---|---|---|
| Cost Reduction | AI-detected compressor overuse | 18% energy savings |
| Compliance Assurance | Automated EPA reporting | 100% audit readiness |
| Sustainability Leadership | Public-facing carbon dashboard | Improved ESG scores |
| Operational Insight | Digital twin process mapping | 23% throughput gain |
