Digital Twin Solutions

Create synchronized digital representations of machines, assets, or processes using industrial data, engineering context, operational history, and validated models.

Real-TimeAsset Synchronization

ContextAnd History

What-IfScenario Evaluation

Build a Useful Digital Representation, Not Just a 3D Display

A digital twin should represent an identified physical asset or process, receive relevant operational information, preserve context, and support a defined decision or workflow.

Depending on the use case, a twin may include machine state, process parameters, alarms, maintenance history, operating configuration, asset relationships, engineering properties, analytical models, or simulation behavior.

MayilVeera can support digital-twin projects by connecting industrial assets, structuring data, developing asset models, synchronizing operational information, building dashboards, and integrating analytics.

Digital Twin Levels

The required level of fidelity must be defined according to the decision the twin is expected to support.

Connected Asset Twin

Represent an individual machine or asset with identity, configuration, state, parameters, alarms, runtime, maintenance history, trends, and communication health.

System or Production-Line Twin

Connect machines, stations, buffers, products, or processes for flow visibility, bottleneck analysis, downtime context, WIP tracking, and line performance.

Simulation and Behavioral Twin

Use validated models for what-if analysis, parameter evaluation, process optimization, virtual commissioning, training, maintenance scenarios, and capacity studies.

Asset and Data Modelling

Structure plant, area, line, machine, component, sensor, signal, product, batch, alarm, event, and state relationships.

Physical-to-Digital Connectivity

Synchronize data through OPC UA, Siemens S7, Modbus, MQTT, serial, Ethernet, I/O, edge gateways, databases, or APIs.

Analytics and Scenario Views

Show trends, relationships, performance, bottlenecks, assumptions, operating ranges, and validated scenario results.

Digital Twin Capabilities

A useful twin preserves relationships and context instead of presenting unrelated machine tags.

Asset models

IIoT connectivity

Operational history

Scenario analytics

Line context

Alarm context

Maintenance context

Validation evidence

How a Digital Twin Project Starts

The first step is defining the physical asset, decision, fidelity, and data needed.

Use-Case Definition

Define the asset or process and the decision the twin must support.

Model Scope

Define asset hierarchy, relationships, operating states, context, and required fidelity.

Connectivity

Connect machine, sensor, gateway, database, or API data sources.

Context Layer

Attach configuration, alarms, history, maintenance, products, batches, or process context.

Analytics

Build dashboards, trends, scenario views, and decision-support outputs.

Validation

Document assumptions, accuracy limits, operating range, and evidence.

Digital Twin Outputs

A simple dashboard or static 3D model should not automatically be described as a full digital twin.

01Use-case and fidelity definition

02Asset hierarchy model

03Tag and signal mapping

04Connectivity architecture

05Operational context model

06Dashboard and analytics views

07Scenario assumptions

08Validation evidence

09Integration plan

10Scale-up roadmap

Frequently Asked Questions

Is a dashboard the same as a digital twin?

Not always. A digital twin should represent an asset or process with context, relationships, synchronization, and a defined decision purpose.

Do we need 3D visualization?

Only if it supports the use case. Many useful twins are data, context, and workflow models rather than visual-only displays.

Can a twin connect to existing machines?

Yes, when suitable industrial interfaces, gateways, databases, or APIs are available.

Can it support what-if analysis?

Yes, when the model behavior, assumptions, operating range, and validation evidence are defined.

Start with One Asset and One Decision

Share the asset or process, available data, operational context, decision goal, required fidelity, and integration needs.

Discuss Your Digital Twin Use Case