Why Real-Time Equipment Monitoring Matters in Daily Operations
In manufacturing operations, decisions depend on timely and accurate data.
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Real-time equipment monitoring provides clear visibility into machine conditions, usage and performance, helping teams make better operational decision
3 Key Operational Challenges
Limited Visibility
Without real-time data, machine performance is often reviewed after issues occur, limiting the ability to respond proactively.
Delayed Decision-Making
Operational decisions based on manual checks or static reports slow down response time and affect efficiency.
Disconnected Data
Machine data that is not integrated into dashboards or analytics tools is difficult to interpret and use for improvement.
How This Training Addresses Those Challenges
Real-Time Data Collection
Participants learn to integrate industrial sensors with IoT controllers to collect live machine data directly from equipment.
Clear Data Visualisation
Machine data is transmitted and visualised using dashboards, making performance trends easier to understand.
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Actionable Insights
Through Power BI analysis, participants translate equipment data into insights that support operational planning and decision-making.
What Participants Will Do Over 3 Days
HRDCorp claimable | Customisable training delivery
Day 1 — Set Up Real-Time Monitoring
What participants will do:
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Understand how IoT is applied in manufacturing operations
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Set up an IoT controller as a gateway device
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Integrate industrial sensors to collect real-time equipment data
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Configure basic dashboards to view live sensor readings
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Outcome by end of Day 1:
Participants have a working setup that captures live data from equipment sensors.
Day 2 — Analyse and Visualise Equipment Data
What participants will do:
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Clean and process collected equipment data
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Use Power BI to analyse sensor data
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Select appropriate charts to represent machine performance
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Build dashboards that show trends, usage and basic performance indicators
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Outcome by end of Day 2:
Participants can translate raw equipment data into clear dashboards for operational monitoring.
Day 3 — Apply, Demonstrate, and Present
What participants will do:
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Design a small IoT monitoring project based on selected machine parameters
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Demonstrate how the system collects data and supports monitoring
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Present dashboards and explain insights derived from the data
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Receive feedback for improvement and workplace application
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Outcome by end of Day 3:
Participants complete a practical IoT monitoring project that reflects real operational use.
This Training Is Suitable For:
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Engineering and Technical Professionals
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Operations and Manufacturing Professionals
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Managers and Supervisors
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Industry 4.0 Practitioners
