Predictive HVAC Maintenance — Catch Problems Before They Become Emergencies
Monaire monitors commercial HVAC equipment across your portfolio and surfaces developing issues earlier, so your team can schedule service before small problems become emergency repairs.
How Monaire predictive maintenance works
Monaire turns equipment data into a condition-based maintenance workflow.
1
Install monitoring
Monaire turns equipment data into a condition-based maintenance workflow.
2
Build baseline
Start with similar equipment patterns & improve with site, schedule, weather, & season data.
Actual
Baseline
3
Detect abnormal patterns
Runtime, temperature response, power/current where available, and performance loss can reveal risk.
4
Prioritize issues
Facilities teams see issues that matter instead of scanning raw alerts.
ISSUES
RTU-2
Store 101
RTU-3
Store 101
RTU-1
Store 101
RTU-1
Store 101
5
Dispatch and verify
Use Monaire insights to schedule service and confirm whether equipment returned to normal behavior.
AI vs. traditional systems
See how Monaire learns from equipment behavior, prioritizes action, and reduces manual work compared with rule-based BMS platforms and scheduled thermostats.
Preventive maintenance still matters
Scheduled preventive maintenance remains important. Monaire makes it more targeted, measurable, and connected to actual equipment condition.
PM automation
Schedule and track preventive maintenance tasks across equipment and locations.
PM verification
Use equipment behavior after service to verify whether work improved performance.
PM prioritization
Focus PM attention on units showing abnormal behavior.
Monaire
Summary dashboard
Impact dashboard
MonAI
New
Buildings
Equipment
Notifications
Operations
Work orders
PM schedules
Set up
HVAC schedules
Lighting schedules
Settings
Rahul Subramany
Admin
Monaire view
Buildings
Caspian Grill
RTU 1 Kitchen
RTU 1 Kitchen
Carrier - 48TCED
|
15 Tons
|
1 Heating Stage
|
2 Cooling Stages
|
Economizer
Controls
Overview
Charts
Issues
Media
Spend over time
History
Work orders
PM schdeule
Snooze issues
Search issue
Reload
Filters
Set up predictive WOs
Issues
Air filter needs changing
Freeze risk detected
Fan issue detected
Humidity high for too long
Indoor temperature too cold
Indoor temperature too hot
Unit not cooling efficiently
Unit not heating efficiently
Feels like temperature too cold
Feels like temperature too hot
Issue message
Room temp 73.0 is prolonged low while heating (80.0 set point)
Room temp 73.0 is prolonged low while heating (80.0 set point)
No airflow alert (heating); {run_data.supply_temp} SAT vs {run_data.return_temp} return
Room temp 73.0 is prolonged low while heating (80.0 set point)
Room temp 73.0 is prolonged low while heating (80.0 set point)
SAT (86.9) is too cold while heating (300 sec
No airflow alert (heating); {run_data.supply_temp} SAT vs {run_data.return_temp} return
SAT (86.9) is too cold while heating (300 sec
No airflow alert (heating); {run_data.supply_temp} SAT vs {run_data.return_temp} return
SAT (86.9) is too cold while heating (300 sec
Status
Open
Closed
Open
Ops agent review
Parking lot
Closed
Closed
Closed
On hold
On hold
Created on
4/4/23 3:00 pm
4/4/23 3:00 PM
4/4/23 3:00 pm
4/4/23 3:00 PM
4/4/23 3:00 PM
4/4/23 3:00 pm
4/4/23 3:00 PM
4/4/23 3:00 pm
4/4/23 3:00 PM
4/4/23 3:00 pm
Wo#
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Not created
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Ticket
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Vendor context
Include issue context so vendors know what to inspect before arriving for a PM.
From detected issue to verified repair
Monaire identifies the affected unit, explains what changed and why it matters, sends the right context into your maintenance workflow, and confirms whether the repair worked.
Does predictive maintenance replace preventive maintenance?
No. Preventive maintenance remains essential. Monaire makes it more effective by helping teams prioritize service based on actual equipment condition and verify whether maintenance improved performance. Predictive maintenance fills the gaps between scheduled PM visits by identifying developing issues early—before they become reactive, costly failures.
How does Monaire identify a developing HVAC issue?
Monaire looks for abnormal patterns in runtime, temperature response, supply and return conditions, comfort performance, and other equipment signals.
Will predictive maintenance create more alerts?
The goal is the opposite. Monaire groups related signals, applies severity logic, and creates prioritized issues instead of forcing teams to review raw alerts.
Can Monaire create a work order automatically?
Yes. Work orders can be routed through Monaire or supported CMMS workflows based on customer rules, approvals, severity, and vendor responsibilities.
How does Monaire verify a repair?
After service, Monaire checks whether the equipment returned to expected behavior. If the issue persists, the work order can be re-opened and re-routed instead of disappearing at ticket closure.
Does Monaire predict the exact date an HVAC unit will fail?
No. Monaire identifies abnormal behavior and rising risk so teams can investigate earlier; it does not guarantee an exact failure date or prevent every breakdown.
Still have questions?
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