Equipment & BMS Monitoring
Runtime Hours
Start Making Data-Driven Decisions
- Calculate runtime hours for any equipment
- Update PM schedules based on runtime hours for individual equipment
- Inform capital plans
- Save time and/or reduce harm from over maintenance
Fault Detection and Diagnostics
Get real-time alerts when equipment breaks down
- Strict rules to avoid false positives
- Track mean time to repair (MTTR)
- Implement repairs before tenants notice
- Extend equipment life
- Automatically generate work orders for vendors
Insights
Prescriptive recommendations to directly increase NOI
- No-cost optimizations
- Retrofit opportunities
- Pulled from the industry's largest library of best practices
- Track potential and implemented savings
- Support from Enertiv's client success team
Predictive Maintenance
Follow real-time conditions to predict failures
- Analytics engine automatically calculates degradation in equipment
- Notifications are sent when degradation indicates equipment failure is likely
- Continuous commissioning saves time
- AI-driven predictive maintenance tools
- Avoid expensive repairs and tenant complaints
Data-Driven Capital Planning
Leverage data to improve budgeting
- Use runtime hours instead of expected useful life
- Prioritize retrofits by ROI and payback period
- Accurately predict equipment useful life
- Benchmark specific makes and models
- Verify vendor proposals with data
Executive Dashboards
Monitor performance across a portfolio
- Maintenance KPIs
- HVAC analytics
- Savings identified vs implemented
- Performance scores
- Real-time operating costs