One Platform. Unlimited Applications.
Answer critical questions about equipment, machinery, and the environment with Atomation’s wireless monitoring solutions. Whether it’s bearing temperature on a conveyor, vibration on a shaker table, or run-time on critical assets, Atoms deliver the insights that drive operational excellence.
Equipment Monitoring
Monitor Legacy Equipment Without the Infrastructure Investment
Atoms bridge the gap between individual sensors and hard-wired SCADA systems. No massive infrastructure investment. No complex wiring projects. Just immediate, actionable monitoring across your entire operation.
The Challenge:
Traditional monitoring solutions require extensive infrastructure, complex installation, or massive capital investment. Mission-critical equipment often goes unmonitored because connecting it to existing systems is too costly or technically impractical.
The Atomation Solution:
Battery-powered Atoms attach magnetically to equipment in minutes, capturing temperature, vibration, tilt, and impact data. Edge computing processes information locally, sending only meaningful alerts and insights through wireless communication direct to cloud or via gateway.
Real-World Applications:
Conveyor systems and material handling equipment
Motors, pumps, and fans across manufacturing facilities
Aggregate processing equipment in harsh environments
Material dryers and vertical lift elevators
Shaker tables and screening equipment
Feed systems and production machinery
Key Benefits:
Deploy in minutes with magnetic installation
No wiring, no infrastructure requirements
Immediate operational insights
Customizable trigger-based alerts
Dashboard viewing or open API integration
Bearing Temperature Monitoring
Monitor Legacy Equipment Without the Infrastructure Investment
Early detection of bearing temperature increases can prevent catastrophic failures and costly unplanned downtime. Atoms with external temperature probes deliver precise monitoring in the harshest environments.
The Challenge:
Bearing failures cause unexpected shutdowns, damage to connected equipment, and safety hazards. Traditional monitoring relies on scheduled inspections that miss problems developing between checks. By the time temperature issues are detected manually, damage is already occurring.
The Atomation Solution:
Battery-powered Atoms attach magnetically to equipment in minutes, capturing temperature, vibration, tilt, and impact data. Edge computing processes information locally, sending only meaningful alerts and insights through wireless communication direct to cloud or via gateway.
Case Study
Vertical Lift Elevator
At 4:30 AM, temperature alerts signaled bearing temperature had exceeded thresholds on a vertical lift elevator. Investigation revealed operator error was causing excessive strain. Work was halted, and the bearing was addressed before failure. This early warning prevented bearing failure and saved a minimum of $20K in repairs and downtime.
Case Study
Shaker Table Manufacturing
A manufacturer installed Atoms with external temperature sensors on shaker table bearings. The Atoms revealed an unexpected insight: bearing temperature actually increased when tables operated without load. This discovery led to a complete overhaul of their maintenance program, improving overall performance and extending equipment life.
Applications:
Conveyor bearings and rollers
Motor bearings in harsh environments
Elevator and lift systems
Processing equipment bearingsProcessing equipment bearings
Manufacturing machinery
High-temperature applications
Key Features:
NEW! External temperature probe for precise bearing monitoring
Customizable temperature thresholds
Immediate alert notifications
Trend analysis for predictive insights
Historical data for maintenance optimization
Vibration Monitoring
Detect Equipment Changes Before They Become Failures
Changes in vibration patterns indicate worn parts, misalignment, or impending equipment failure. Atoms detect subtle changes that signal maintenance needs, giving operations teams time to act before breakdowns occur.
The Challenge:
Equipment vibration increases as components wear, but these changes often go unnoticed until catastrophic failure occurs. Manual inspection can’t capture continuous operation patterns, and traditional vibration analysis requires expensive specialized equipment and expertise.
The Atomation Solution:
Atoms monitor vibration on rotating and reciprocating equipment. Edge computing establishes baseline operation patterns and detects deviations that indicate developing problems. Analysis across multiple similar devices reveals when one piece of equipment operates differently from its peers.
Case Study
Shaker Table Springs
When shaker table springs begin to fail, tables behave erratically, throwing materials and creating safety hazards. Atoms installed on all four springs detected minor vibration changes prior to failure. Analysis of normal operation across multiple devices showed when individual springs exhibited fatigue. The team gained sufficient lead time to schedule replacement before failure and eliminated safety hazards.
Applications:
Rotating equipment and motors
Pumps and compressors
Pumps and compressors
Springs and dampening systems
Fans and blowers
Fans and blowers
Real-World Applications:
Conveyor systems and material handling equipment
Motors, pumps, and fans across manufacturing facilities
Aggregate processing equipment in harsh environments
Material dryers and vertical lift elevators
Shaker tables and screening equipment
Feed systems and production machinery
Key Benefits:
Deploy in minutes with magnetic installation
No wiring, no infrastructure requirements
Immediate operational insights
Customizable trigger-based alerts
Dashboard viewing or open API integration
Pole And Substation Monitoring
Identify Damaged Assets Across Utility Operations
Utility infrastructure faces constant environmental stress, vehicle impacts, and structural degradation. Atoms deployed on poles and substation equipment detect damage and operational issues before they compromise service reliability or safety.
The Challenge:
Utility poles and substation equipment span vast geographic areas, making regular inspection costly and time-consuming. Damage from vehicle impacts, weather events, or structural degradation often goes undetected until service interruption occurs or inspectors make their rounds.
The Atomation Solution:
Impact and tilt sensors detect when poles sustain damage from vehicle strikes or structural shifts. Temperature monitoring on transformers and electrical equipment provides early warning of overheating. Wireless communication means no additional infrastructure installation in remote locations.
Applications:
Utility pole impact detection
Substation equipment health
Infrastructure damage assessment
Transformer temperature monitoring
Remote asset monitoring
Environmental condition tracking
Operational Benefits:
Immediate notification of vehicle impacts
Proactive response to equipment issues
Reduced inspection costs across distributed assets
Documentation for insurance and liability
Improved safety for field personnel
Enhanced grid reliability
Key Features:
Impact detection and tilt monitoring
Temperature alerts for electrical equipment
GPS location data
Long battery life for remote installations
Weather-resistant design
Wireless communication to cloud
Preventive Maintenance
Optimize Scheduled Maintenance with Real Data
Preventive maintenance keeps equipment running, but schedules based solely on time or cycle counts often result in unnecessary work or missed problems. Atomation data shows when maintenance is actually needed.
The Challenge:
Traditional preventive maintenance schedules equipment service based on manufacturer recommendations or historical averages. This approach either performs maintenance too frequently—wasting time and resources—or misses problems developing between scheduled intervals.
The Atomation Approach:
Atoms provide equipment condition data that validates maintenance schedules and identifies when adjustments are needed. Run-time monitoring shows actual usage patterns. Temperature and vibration data reveal when components need attention before scheduled maintenance or can safely run longer.
Case Study
Bearing Lubrication
A facility lubricated bearings on a fixed schedule regardless of operational performance. After installing Atoms, temperature data showed bearing temperature rising rapidly after lubrication, indicating an underlying problem. Investigation revealed the issue, and the maintenance schedule was adjusted based on actual bearing performance rather than arbitrary timing.
How Atoms Improve Preventive Maintenance:
Usage Validation
Condition Trending
Schedule Optimization
Maintenance Verification
Historical Analysis
Applications:
Lubrication schedule optimization
Parts replacement timing
Filter change intervals
Belt and chain inspection scheduling
Cleaning and adjustment timing
Component wear tracking
Operational Benefits:
Reduce unnecessary maintenance work
Catch problems between scheduled maintenance
Optimize parts inventory and labor scheduling
Extend maintenance intervals safely
Improve maintenance program ROI
Predictive Maintenance
Move from Scheduled Maintenance to Condition-Based Maintenance
Predictive maintenance uses real equipment condition data to forecast when maintenance will be needed. Atoms provide the monitoring and data analysis that enable predictive maintenance programs.
The Challenge:
Predictive maintenance promises significant cost savings and reliability improvements, but implementation typically requires expensive vibration analyzers, thermographic cameras, and specialized expertise. Many operations can’t justify the investment or can’t monitor enough equipment to make programs cost-effective.
The Atomation Solution:
Atoms democratize predictive maintenance. Monitoring of temperature, vibration, and equipment operation establishes baselines. Edge computing analyzes data locally and identifies developing problems. Historical trending reveals degradation patterns that help teams forecast when maintenance will be needed.
Case Study
Motor Performance Analysis
Atoms monitoring motors and bearings detected gradual temperature increases over weeks of operation. Rather than waiting for failure or following fixed schedules, maintenance was scheduled when condition data indicated actual need. This approach reduced emergency repairs by 60% and extended equipment life by catching problems early.
Predictive Insights from Atom Data:
Temperature Trending
Vibration Analysis
Comparative Performance
Usage Correlation
Failure Prediction
From Reactive to Predictive:
Baseline Establishment:
Atoms learn normal equipment operation
Deviation Detection:
Edge computing identifies changes from baseline
Trend Analysis:
Dashboard tools show degradation patterns
Maintenance Forecasting:
Schedule work before failure based on condition
Program Refinement:
Historical data improves predictions over time
Key Features:
Perform maintenance only when needed
Schedule work during planned downtime
Reduce spare parts inventory requirements
Extend equipment life through early intervention
Eliminate most unplanned failures
Lower total maintenance costs
Asset Tracking
Know Where Your Assets Are and How They’re Being Used
Beyond condition monitoring, Atoms provide location tracking and usage data for mobile equipment and distributed assets. Understand utilization patterns, prevent theft, and optimize asset deployment.
The Challenge:
Mobile equipment and distributed assets represent significant capital investment, but many organizations lack visibility into where assets are located, how they’re being used, or whether they’re operating within parameters. Theft, misuse, and underutilization all impact ROI.
The Atomation Solution:
Atoms with GPS provide location tracking combined with operational monitoring. Track asset movement, monitor usage patterns, and receive alerts when equipment leaves designated areas or operates outside normal parameters.
Case Study
Bulldozer Operations Management
A construction operation in the Israeli desert deployed Atoms on bulldozers to monitor both location and operational parameters. The system tracked when equipment moved beyond site boundaries and monitored usage patterns across different operators and contractors. This visibility improved accountability, optimized equipment utilization, and provided documentation for billing and operations management.
Asset Tracking Applications:
Construction equipment monitoring
Contractor equipment accountability
Theft prevention and recovery
Mobile machinery location and usage
Remote asset monitoring
Environmental condition tracking
Applications:
GPS location tracking
Geofencing and movement alerts
Usage hours and patterns
Operational condition monitoring
Impact and misuse detection
Temperature and vibration tracking
Operational Benefits:
Prevent equipment theft with location monitoring
Optimize asset utilization across sites
Verify contractor equipment usage
Improve equipment deployment decisions
Document usage for billing and accountability
Reduce unnecessary equipment purchases
Run-Time Monitoring
Improve KPIs with Accurate Equipment Utilization Data
It’s easy to assume you know which shifts are most productive or how heavily equipment is utilized. Run-time monitoring reveals actual usage patterns that drive informed decision-making.
The Challenge:
Production managers often lack accurate data on equipment utilization, shift performance, and operational efficiency. Assumptions about productivity don’t match reality. Without real usage data, it’s impossible to optimize scheduling, identify training needs, or make informed capital investment decisions.
The Atomation Solution:
Atoms track when equipment operates, how long it runs, and how hard it works. Run-time monitoring is often the first value customers realize from Atomation sensors. Immediate insights into shift productivity, equipment overuse or underutilization, and operational parameters outside the norm become visible when you have the data.
What Run-Time Data Reveals:
Shift Performance
Equipment Utilization
Idle Time Analysis
Operational Efficiency
Overuse Detection
Process Optimization
Applications:
Production line optimization
Equipment capacity planning
Labor efficiency assessment
Shift performance comparison
Maintenance schedule validation
Capital investment justification
Case Study
Manufacturing Shift Analysis
A manufacturer assumed night shift productivity lagged day shift performance. Run-time monitoring revealed the opposite—night shift actually ran equipment more consistently and achieved higher utilization rates. This data-driven insight led to process changes on day shift that improved overall productivity by 15%.
Operational Benefits:
Make decisions based on actual data, not assumptions
Identify and address productivity gaps
Optimize equipment deployment across shifts and sites
Justify capital equipment investments with utilization data
Improve training and process based on performance patterns
Reduce equipment wear from overuse
Key Features:
Automatic run-time tracking—no operator input required
Shift and timeframe comparison reports
Equipment utilization dashboards
Historical trending and analysis
API access for integration with existing systems
Custom alerts for operational parameters
Run-Time Monitoring
Improve KPIs with Accurate Equipment Utilization Data
It’s easy to assume you know which shifts are most productive or how heavily equipment is utilized. Run-time monitoring reveals actual usage patterns that drive informed decision-making.
The Challenge:
Production managers often lack accurate data on equipment utilization, shift performance, and operational efficiency. Assumptions about productivity don’t match reality. Without real usage data, it’s impossible to optimize scheduling, identify training needs, or make informed capital investment decisions.
The Atomation Solution:
Atoms track when equipment operates, how long it runs, and how hard it works. Run-time monitoring is often the first value customers realize from Atomation sensors. Immediate insights into shift productivity, equipment overuse or underutilization, and operational parameters outside the norm become visible when you have the data.
What Run-Time Data Reveals:
Shift Performance
Equipment Utilization
Idle Time Analysis
Operational Efficiency
Overuse Detection
Process Optimization
Applications:
Production line optimization
Equipment capacity planning
Labor efficiency assessment
Shift performance comparison
Maintenance schedule validation
Capital investment justification
Case Study
Manufacturing Shift Analysis
A manufacturer assumed night shift productivity lagged day shift performance. Run-time monitoring revealed the opposite—night shift actually ran equipment more consistently and achieved higher utilization rates. This data-driven insight led to process changes on day shift that improved overall productivity by 15%.
Operational Benefits:
Make decisions based on actual data, not assumptions
Identify and address productivity gaps
Optimize equipment deployment across shifts and sites
Justify capital equipment investments with utilization data
Improve training and process based on performance patterns
Reduce equipment wear from overuse
Key Features:
Automatic run-time tracking—no operator input required
Shift and timeframe comparison reports
Equipment utilization dashboards
Historical trending and analysis
API access for integration with existing systems
Custom alerts for operational parameters
Versatility In Action
One Solution. Multiple Applications. Countless Insights.
The same Atom works across industries and applications. Aggregate operations, manufacturing facilities, utilities, and agricultural operations all benefit from the same versatile monitoring platform.
Industry Applications:
Aggregate & Mining:
Harsh environments demand rugged monitoring. Atoms withstand dust, vibration, temperature extremes, and impact while delivering insights on crushers, conveyors, screens, and material handling equipment.
Manufacturing:
From automotive to food production, Atoms monitor motors, fans, pumps, shaker tables, and production machinery. Customers include True Manufacturing, Honeywell, and operations worldwide.
Utilities:
Pole impact detection, transformer monitoring, pump stations, and substation equipment monitoring across distributed infrastructure without additional installation costs.
Agriculture & Livestock:
Feed motors, fans, environmental conditions, and equipment critical to animal welfare and production efficiency benefit from simple, affordable monitoring.
Your Data. Your Way.
View information via dashboard, integrate through our open REST API, or download data for your own analysis. The data is yours to use how and where you want it.
Versatility In Action
One Solution. Multiple Applications. Countless Insights.
Identify Monitoring Needs:
Which equipment questions need answers?
Deploy Atoms:
Magnetic installation takes minutes per device
Configure Alerts:
Set thresholds based on operational requirements
Gain Insights:
Dashboard and API access provide immediate visibility
Optimize Operations:
Use data to improve maintenance, productivity, and reliability
Ready to see what Atoms can do for your operation?
