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Asset/Machine Configuration


The Asset / Machine Configuration module serves as the foundation for creating and managing machine templates within the IoT platform. It enables users to define machine classifications, communication methods, manufacturers, and operational data points before onboarding machines into the system.

By configuring these master records, organizations can standardize machine setup, simplify deployment, and ensure consistent data collection across all assets.


Configuration Journey

The following workflow illustrates how machine master data is configured before an asset becomes ready for deployment.


Configuration Architecture

The Asset Configuration process combines master data, connectivity information, and operational parameters into a reusable machine model.


Configuration Components

📂 Category

Categories are used to group similar machines and assets under a common classification.

Examples

  • CNC Machines
  • Packaging Machines
  • Utility Equipment
  • Injection Molding Machines
  • Assembly Lines

Benefits

  • Simplifies asset organization.
  • Improves reporting and filtering.
  • Enables structured machine hierarchy.

🏭 Asset Type

Asset Types define the specific machine type within a category.

Examples

CategoryAsset Type
CNC MachinesVertical Machining Center (VMC)
CNC MachinesHorizontal Machining Center (HMC)
Utility EquipmentAir Compressor
PackagingCarton Sealer

Benefits

  • Standardizes machine classification.
  • Supports reusable machine models.
  • Improves asset identification.

🏢 Manufacturer

Manufacturers represent the companies that build or supply machines.

Examples

  • Fanuc
  • Siemens
  • Mitsubishi
  • Haas
  • Bosch

Benefits

  • Maintains supplier information.
  • Supports machine traceability.
  • Helps standardize machine templates.

🎛️ Controller

Controllers define how machines communicate with the IoT platform.

Supported Communication Protocols

  • MQTT
  • OPC UA
  • Modbus TCP
  • Modbus RTU
  • MTConnect
  • BACnet

Benefits

  • Enables machine connectivity.
  • Supports real-time communication.
  • Standardizes protocol configuration.

📊 Data Points

Data Points represent the machine parameters collected and monitored by the system.

Common Data Points

Data PointDescription
TemperatureCurrent machine temperature
Spindle SpeedCurrent spindle RPM
Production CountNumber of parts produced
Alarm StatusCurrent alarm condition
Power ConsumptionMachine energy usage
Machine StatusRunning, Idle, or Stopped

Benefits

  • Enables machine monitoring.
  • Supports analytics and dashboards.
  • Provides operational visibility.

🏗️ Asset Model

An Asset Model combines all configuration components into a reusable machine template.

Asset Model Structure

Category       : CNC Machines
Asset Type : Vertical Machining Center
Manufacturer : Fanuc
Controller : Fanuc FOCAS Controller
Data Points : Temperature, RPM, Alarm Status

Benefits

  • Eliminates repetitive configuration.
  • Accelerates machine onboarding.
  • Ensures consistency across similar assets.

To achieve a structured and efficient setup process, follow the sequence below.

Best Practice

  1. Create Categories.
  2. Define Asset Types.
  3. Add Manufacturers.
  4. Configure Controllers.
  5. Create Data Points.
  6. Build Asset Models.
  7. Configure Machines using the Asset Model.

Business Benefits

Standardized Asset Management

Machine definitions are maintained consistently across the organization.

Faster Deployment

Predefined templates reduce onboarding effort for new machines.

Consistent Data Collection

Standardized data points ensure reliable reporting and analytics.

Improved Scalability

New machines can be deployed quickly using existing asset models.

Better Analytics

Structured machine data improves OEE, downtime, production, and performance reporting.


Summary

The Asset / Machine Configuration module establishes the master data required to onboard and manage industrial assets within the IoT platform. By defining Categories, Asset Types, Manufacturers, Controllers, Data Points, and Asset Models, organizations can create standardized machine templates that simplify deployment, improve data quality, and support scalable industrial IoT operations.