Spot changes earlier
Review incoming condition data instead of waiting for the next reported breakdown.
IoT Monitoring & Predictive Maintenance
Know the condition.
Plan the next service.
Connect rental equipment sensor data with alerts, work orders and service history. Monitor condition while equipment is on hire, spot changing patterns and give your team a clearer next step.
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Less guesswork. Earlier action.
Bring equipment signals
into the maintenance workflow.
Connect the condition you observe with the equipment, people and work needed to respond.
Turn alerts into work
Use configured rules to create a work order and route it to the responsible team.
Plan the next service
Use equipment condition alongside rental dates to prepare maintenance and resources.
Learn from asset history
Review recurring events and completed work when considering repair or replacement.
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Award winning CMMS software
Recognition from software review platforms for value, ease of use, functionality and customer support.
01 / IoT sensor integration
See equipment condition.
Even while it is on hire.
Bring temperature, vibration, pressure and usage data into the equipment record. Link supported sensors and gateways with the correct rental asset so the office and maintenance team can review the same condition information.
Third-party sensors and gateways
Equipment-linked readings
Units and parameter mapping
Condition and event history
Equipment condition Sample interface
Connected sensor readings Generator G-024 / North Site
Received 10:42
Asset-linked telemetry One machine. Four signals. Example monitoring setup / sensor values shown as received
Temperature 86 °C Above sample 80 °C limit
Vibration 3.2 mm/s Recorded reading
Pressure 5.4 bar Recorded reading
Operating hours 2,480 h Asset usage reading
Gateway / GW-NORTH-03 Source mapped to Generator G-024
Mapped
Compatible devices, signal mapping and connectivity determine the readings available. Sample limits are not manufacturer specifications.
02 / Condition alerts & automation
Turn a warning into
assigned maintenance.
Define the parameters, thresholds and monitoring intervals that matter to each asset. When received values meet the configured conditions, create maintenance work, notify the right team and keep the response attached to the equipment.
Threshold-based work orders
Configured team assignments
Priority and escalation rules
Inspection and repair records
Condition to work order Sample interface
Generator temperature rule Illustrative automation / G-024
Rule matched
IF / RECEIVED READING Temperature above 80 °C
86 °C received at 10:42 / sample threshold
01
Create inspection work order WO-2048 / Inspect Generator G-024
02
Assign the service team Equipment and site context attached
03
Record the inspection outcome Checklist, findings and follow-up work
Open
An alert starts the response. It does not confirm the cause or approve equipment for release.
03 / Predictive maintenance analytics
Review the pattern.
Plan the next intervention.
Use sensor trends and service history to identify recurring breakdown patterns and emerging maintenance needs. Predictive insights support earlier planning for inspections, parts and service windows, rather than relying on the most recent reading alone.
Wear and condition trends
Recurring breakdown analysis
Historical service context
Predictive planning insights
Predictive outputs depend on the equipment, available history and configured analytics. They are planning inputs, not guaranteed failure dates.
Explore equipment performance reports Trend review Sample interface
Generator G-024 Received readings and recurring condition events
Review trend
Temperature trend Sample morning readings
Received values Sample threshold
Previous 14 days 1 temperature event
Latest 14 days 3 temperature events
A pattern to investigate
Temperature is rising in the received readings. Review operating conditions and recent service history before deciding the next action.
04 / Dashboards & asset decisions
Keep asset health visible
across rental sites.
Bring equipment alerts, condition history and maintenance context into a shared view. Review exceptions across locations, tailor dashboards by role or asset type, and use the evidence to plan service and lifecycle decisions.
Multi-location monitoring
Role and asset-type dashboards
Mobile-friendly access
Maintenance and lifecycle context
Multi-site asset health Sample interface
Rental fleet condition Three example records / full fleet summary above
Multi-site
Within limits 9
Open alerts 2
Awaiting data 1
Generator G-024 North Site 86 °C Received 10:42 Review
Pump P-011 East Yard 5.1 bar Received 10:40 Within limits
Light Tower L-018 West Site Last known: 62 °C Last received 08:05 Awaiting data
Mobile-friendly condition visibility 12 monitored assets
A previous reading is not a current condition check. Review missing updates and pending maintenance before the next dispatch.
VEDA / AI for maintenance context
Put the alert in context.
Prepare the next step.
Use VEDA to find available equipment knowledge, review service history and prepare an inspection-checklist draft. Give the team more context for the work behind a sensor alert.
Find the asset history
Bring recorded work and equipment documentation into the review.
Draft the inspection
Prepare a checklist to review against your approved procedure.
VEDA assistance and predictive condition analytics are different workflows. AI output depends on accessible records and enabled functions. Your team verifies findings and approves maintenance actions.
Explore VEDA VEDA / Equipment context Illustrative assistant conversation
Review draft
Summarize Generator G-024’s recent service history and draft an inspection checklist for the maintenance team.
Sample response / available records
Prepare the service review
Latest recorded work: air-filter service completed. Review the equipment manual and approved inspection procedure before using this draft.
Confirm equipment identity and the reported issue.
Review previous service notes and outstanding work.
Record inspection findings and any required follow-up.
The service history alone does not establish the cause of the temperature alert.
Draft for staff review. Not a fault diagnosis or equipment-release approval.
From sensor data to rental operations
Connect the signal
with the people and work behind it.
Keep hardware integration, maintenance execution and rental planning connected without treating them as the same action.
Supported sensor connections
Connect compatible Monnit devices and map their readings to your equipment. Review sensor coverage, account access and gateway requirements before rollout.
Explore Monnit integrationAssigned maintenance work
Keep the asset, checklist, technician and relevant files with the work order. Record the inspection result and any subsequent repair work.
Explore maintenance work ordersThe next rental commitment
Review the maintenance plan alongside the next booking. Confirm readiness and the equipment allocation before releasing an item for another hire.
Explore equipment availability Start with the equipment, the signal and the action. Review devices, integration access, asset mapping and response rules with our team.
IoT monitoring capabilities
Build a more informed
maintenance response.
Sensor and asset mapping
Connect supported device readings with the right equipment record, parameter and measurement unit.
Condition-based triggers
Set thresholds and monitoring intervals to identify the readings that need a maintenance response.
Assignment and escalation
Configure who receives the work, which priority applies and how important events are escalated.
Historical condition review
Bring prior readings and maintenance records into the investigation of repeated equipment issues.
Predictive planning
Use wear patterns and configured analytics to inform maintenance needs, service timing and resource plans.
Connected dashboards
Review alerts and asset performance by equipment type, team or site in a mobile-friendly view.
Connected DreamzCMMS tools
One rental operation.
A shared equipment record.
Connected systems
Keep container events connected to the rest of the operation.
Match container IDs and trip references across tracking, warehouse, transport, and maintenance systems.
Integrations
- SAP
- Sage Intacct
- Stripe
- Zebra
- CIMCON
- Oracle NetSuite
- Intuit QuickBooks
- Propelr
- Microsoft Dynamics 365
- Xero
- Razorpay
- Samsara
- Odoo
- TallyPrime
- RevRex
- PhonePe
- Chainway
- CardConnect
- Codat
- Siesa
- Unleashed
- Shopify
- Monnit
- Birdeye
- SAP
- Oracle NetSuite
- Microsoft Dynamics 365
- Odoo
- Sage Intacct
- Intuit QuickBooks
- Xero
- TallyPrime
- RevRex
- Stripe
- Propelr
- Razorpay
- PhonePe
- CardConnect
- Codat
- Zebra
- Chainway
- CIMCON
- Samsara
- Monnit
- Siesa
- Unleashed
- Shopify
- Birdeye
Example rental applications
Different rental equipment.
A common need for condition visibility.
Power & generators
Review available operating-hour and temperature readings alongside planned rental commitments.
Pumps & compressors
Bring supported pressure, vibration and temperature signals into the maintenance discussion.
Construction equipment
Link supported equipment telemetry with asset records and service needs across changing sites.
Distributed rental fleets
Give depots and maintenance teams a shared view of monitored equipment and outstanding alerts.
One signal. A coordinated response.
Give each team
the context to take the next step.
Rental operations
Plan with equipment context.Review condition-related work alongside bookings and availability. Confirm the maintenance handoff before the next dispatch.
Maintenance teams
Respond with the right information.Open the equipment record, review the alert and complete the assigned inspection or repair with supporting notes.
Asset managers
Look beyond a single reading.Use recurring events, recorded maintenance costs and lifecycle history when reviewing service or replacement decisions.
Frequently asked questions
IoT monitoring,
explained.
What is IoT monitoring for rental equipment?
IoT monitoring connects equipment sensors or supported device feeds with the asset record. DreamzCMMS brings those readings together with condition alerts, maintenance work and performance views so rental teams can review equipment remotely.
Which equipment readings can be monitored?
The published rental offering includes temperature, vibration, pressure and usage data. Other supported signals can include humidity and voltage. The readings available for a specific item depend on its sensors, gateway and integration.
Can I use existing sensors or a telematics provider?
DreamzCMMS supports third-party sensor and gateway connections and publishes integrations with Monnit and Samsara. Existing hardware needs a compatibility review covering available signals, account access, data mapping and the intended workflow; not every device is supported automatically.
How current are the equipment readings?
Update frequency depends on the sensor, gateway, network and configured integration. Check when a reading was received before treating it as current. If a connection stops reporting, the last value alone does not show the present condition of the equipment.
How is condition-based maintenance different from predictive maintenance?
Condition-based maintenance responds to actual readings and configured limits. Predictive maintenance uses trends, patterns and service history to help anticipate maintenance needs. A threshold alert is not, by itself, a prediction of the remaining useful life of an asset.
Can sensor readings create work orders automatically?
Yes. DreamzCMMS supports configured parameters, thresholds and monitoring intervals that can generate a work order when received data meets the rule. Review the chosen asset, condition and resulting action before enabling the workflow.
Can alerts assign work and escalate important issues?
The published IoT workflow includes automatic assignments and escalations. Configure the responsible teams, priorities, notifications and escalation conditions for your operation. Creating an alert or a work order is separate from completing the physical inspection or repair.
Can we monitor rental equipment across multiple sites?
Yes. The rental IoT offering supports centralized monitoring across locations, with dashboards tailored by role or asset type and mobile-friendly access. Availability of current remote readings still depends on the connectivity and data sources at those sites.
Does IoT monitoring replace calendar- or meter-based servicing?
No. It can complement scheduled preventive maintenance by adding condition-based work. Continue the time- or usage-based service plan appropriate to the equipment, and use sensor events to identify additional work that needs attention.
Does predictive maintenance guarantee an exact failure date?
No. Predictive insights help with early warnings and maintenance planning; they do not guarantee that every failure will be detected or that a machine will fail at a specific time. Confirm the analytics available for your equipment and review the underlying readings, history and operating context.
What does VEDA add to the monitoring workflow?
VEDA can help staff find available equipment knowledge, review service history and prepare an inspection checklist or completion-summary draft. That assistance is distinct from sensor monitoring and predictive analytics. The team reviews the output and retains responsibility for maintenance decisions.
What should we prepare before an IoT monitoring rollout?
Start with an equipment list, the signals you need, existing sensors or gateways, and access to the relevant integration accounts. Agree the asset mapping, measurement units, monitoring intervals, thresholds and responsible teams, then test a representative sensor-to-work-order workflow before expanding.