Machine monitoring involves real-time data collection and analysis of equipment performance. It is crucial for predictive maintenance as it helps detect issues before they cause costly breakdowns, reducing downtime and maintenance costs.
Elevate Your Operations with Robato Systems' Predictive Maintenance Services
- Enhance predictive analytics with high-frequency machine data.
- Diagnose and predict equipment failures with precision.
- Prevent breakdowns in manufacturing equipment.
- No need for additional sensors.
Effortlessly establish
connections with machines
connections with machines
- Establish connections and gather high-frequency data.
- Visualise data from shop floor equipment.
Anticipate machine issues
- Utilise transformed data.
- Develop predictive algorithms and workflows promptly.
Implement solutions rapidly
- Provide pre-built or customised applications on the Edge.
- Prevent issues proactively.
Effortless Deployment
Industrial IoT Platform for Machines
- Andon connects to thousands of machine tools.
- Data scientists develop algorithms for predicting quality defects and tool life extension.
- Operators label data via the operator interface when tool failures or quality defects happen.
- ML/AI algorithms analyse patterns from the extensive data collected from each machine.
- The algorithms detect issues before they reoccur and halt the machine to prevent failure.
Forecast Tool Malfunction
- Identify the onset of stress fractures in tools.
- Alert the operator when such fractures are detected.
- Promptly remove affected tools from operation to prevent failure or breakage.
Maximize Tool Utilization
- Identify tool wear from material variations, environmental factors, and cutting conditions.
- Extend tool lifespan by optimising tool usage.
- Maximise tool performance for prolonged use.
Quality Problem Notifications
- Prevent compromised tools from affecting performance.
- Enhance finishing quality and prevent incomplete cuts.
- Implement tool chatter detection to address these issues.
Create Your Own
Harness High-Frequency Machine Data at Scale
- Empower your data science team to expedite predictive analytics.
- Utilise data directly as inputs for time-series or machine learning models.
- Employ tools like Spark, R, and Python to create algorithms for failure detection.
- Deploy and oversee custom algorithms for edge data analysis.
- Trigger alerts to factory workers or preempt equipment failure using these algorithms.
Develop Your Custom Algorithms
- Utilise high-frequency data from machine control or sensors.
- Employ this data as inputs for time-series or machine learning models.
Implement at the Edge
- Implement and oversee custom algorithms.
- Deploy them to Andon Edge devices and detect potential failures using these algorithms.
- Enable processing and analysis at the source.
Automate Processes
When an algorithm activates:
- Send operator alerts/notifications.
- Inform factory workers of required actions.
- Automatically initiate a feed-hold to halt machines before equipment failure occurs.
What Sets Andon Apart
Rapid Deployment
- Plug-and-play simplicity.
- Scalable and user-friendly.
- Seamless connections.
Instant Data Utilisation
- Eliminates the need for time-consuming data tag mapping.
- Immediate data usability.
Immediate Returns
- Pre-built applications with no initial development needed.
- Quick value realisation.
Universal Connectivity
- Effortlessly integrates machine data throughout your digital factory.
- Enhances data intelligence.
Manufacturing Expertise
- Offers essential context to make data actionable.
- Specialised in manufacturing verticals.
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