Industrial Data Platform · Software Only

Turn Factory Data Into Manufacturing Intelligence

Connect. Contextualize. Standardize. Enable.

Biến dữ liệu phân tán trong nhà máy thành một nền tảng dữ liệu thống nhất để phục vụ sản xuất, bảo trì, phân tích và AI.

Explore the Platform See How It Works
  • Works with your existing systems
  • Vendor-neutral architecture
  • 100% software — no hardware to buy

Factory

  • Machines
  • Sensors
  • PLC
  • SCADA
  • MES
  • ERP
  • Quality
  • Maintenance
  • Databases
  • APIs

Manufacturing
Data Hub

  • Data Integration
  • Data Context
  • ISA-95 Model
  • Knowledge Graph
  • Events
  • Rules
  • API

Manufacturing Applications

  • OEE
  • Production Monitoring
  • Maintenance
  • Traceability
  • Quality
  • Analytics
  • AI
Data flows from factory systems into the Manufacturing Data Hub and then out to manufacturing applications.

The Problem

Your Factory Has Data Everywhere.

But is it connected?

Machine Data

M07_SPD_RPM

SCADA Data

L2.Filler.Speed

Production Data

WO-10482 / qty

Quality Data

QC_Result_Batch

Maintenance Data

Asset#A-1107

ERP Data

MAT_NO 400021

Database Data

tbl_prod_log

API Data

{"machineId":7}

Same machine. Eight systems. Eight different names.

  • Different data structures
  • Different naming conventions
  • Different systems
  • Data silos
  • Manual integration
  • Difficult reporting
  • Difficult analytics
  • Difficult AI implementation

The problem is not the lack of data.

The problem is the lack of context.

The Solution

Create One Manufacturing Data Layer

The Manufacturing Data Hub creates a common software layer between factory systems and manufacturing applications.

  1. Factory Systems
  2. Integration Layer
  3. Manufacturing Data Hub
  4. Common Manufacturing Model
  5. Applications
  1. 01

    Connect

    Connect data from existing systems.

  2. 02

    Contextualize

    Understand relationships between equipment, materials, processes, products, people and events.

  3. 03

    Standardize

    Create a common manufacturing data model.

  4. 04

    Expose

    Make data available through APIs.

  5. 05

    Enable

    Support applications, analytics and AI.

Product Architecture

Where the Manufacturing Data Hub Fits

Your machines, controllers and factory systems stay in place. The Manufacturing Data Hub adds the missing data layer between them and the applications you want to build.

Layer 1

Physical & Control

Existing infrastructure
  • Machines
  • Sensors
  • Controllers
Layer 2

Factory Systems

Existing systems
  • PLC
  • SCADA
  • MES
  • Quality
  • Maintenance
  • ERP
Layer 3

Manufacturing Data Hub

HOANTRANTDH software
  • Integration
  • Data Modeling
  • ISA-95
  • Context
  • Knowledge Graph
  • Events
  • Rules
  • API
Layer 4

Applications

Built on the data layer
  • OEE
  • Production
  • Maintenance
  • Traceability
  • Quality
  • Analytics
  • AI

What the Software Does

Six Capabilities. One Data Foundation.

01

Connect

Connect manufacturing data from multiple systems.

02

Collect

Bring operational and business data into one data layer.

03

Contextualize

Connect machines, products, processes, materials, work orders and events.

04

Standardize

Create a consistent manufacturing data structure.

05

Orchestrate

Use events and rules to trigger workflows and actions.

06

Expose

Provide reusable APIs for applications and analytics.

ISA-95 Context Model

From Raw Data to Manufacturing Context

ISA-95 is an international standard for describing how a factory is organized — which equipment belongs to which line, which work center runs which process, and how production orders, products and materials relate to each other.

In plain terms: it gives every data point an address and a meaning. The Manufacturing Data Hub uses this structure so every system speaks the same manufacturing language.

Raw data L2_M07_ST = 0 · 09:42:17
With context

Filler M-07 on Line 2 stopped at 09:42 while running Work Order WO-10482 (Product 500 ml, Process: Filling).

Data tells you what happened.

Context tells you what it means.

  1. Raw Data
  2. Equipment
  3. Production Line
  4. Work Center
  5. Process
  6. Product
  7. Material
  8. Work Order
  9. Production Event
  10. Manufacturing Context

Knowledge Graph

Data Becomes Useful When Relationships Are Understood

Manufacturing data becomes more useful when relationships are understood. A knowledge graph simply stores what is connected to what — so one question can follow the links across machines, orders, materials, people and results.

Real-World Use Case

Example: Machine Downtime

Follow one event as it travels from the shop floor through the Manufacturing Data Hub and becomes useful information.

Event stream · Line 2
Running
event
STATE_CHANGE · RUN → STOP
source
L2_M07_ST
time
09:42:17
machine
Filler M-07
line
Line 2
product
Bottle 500 ml
work order
WO-10482
process
Filling
workflow
Maintenance request created
downtime
Recorded · reason pending
available to
OEE · Analytics · AI

Applications

Build Manufacturing Applications on Top of Your Data

OEE

Production Monitoring

MES / MOM

Maintenance

Traceability

Product Genealogy

Quality

Production Scheduling

Analytics

AI Applications

Important: The Manufacturing Data Hub provides the data foundation for these applications. Applications are selected, configured or built per project on top of the data layer.

The Transformation

From Disconnected Systems to a Data Foundation

Before

  1. Disconnected systems
  2. Data silos
  3. Manual integration
  4. Inconsistent data
  5. Limited visibility
  6. Difficult analytics
  7. Difficult AI

After

  1. Connected systems
  2. Common data model
  3. Manufacturing context
  4. Reusable APIs
  5. Real-time events
  6. Applications
  7. Analytics & AI

Why It Matters

Why Build a Manufacturing Data Layer?

Faster Integration

Reduce repetitive point-to-point integrations.

Better Visibility

Connect production information across systems.

Reusable Data

Use the same manufacturing data across multiple applications.

Better Context

Understand relationships between assets, products, processes and events.

AI Ready

Create a structured foundation for industrial AI.

Scalable Architecture

Expand from one production line to multiple plants.

Who It Is For

Built for Data-Driven Manufacturing

  • FDI factories
  • Large manufacturers
  • Multi-line factories
  • Multi-site manufacturers
  • Digital transformation projects
  • MES modernization
  • Industrial AI projects
  • Smart factory projects
  • Factories with multiple OT/IT systems

What the Manufacturing Data Hub is — and is not

  • Not a PLC
  • Not a SCADA system
  • Not a sensor
  • Not a robot
  • Not a hardware product

It is the Manufacturing Data Layer.

The platform works with existing factory infrastructure instead of forcing manufacturers to replace their existing systems.

How It Works

Follow the Data

From a signal on the machine to insight in an application — every step keeps its context.

  1. Machine
  2. PLC / Controller
  3. SCADA / Factory Systems
  4. Manufacturing Data Hub
  5. Manufacturing Context
  6. API
  7. Applications
  8. Analytics
  9. AI

Industrial AI

AI Needs Context, Not Just Data

Raw machine data alone is not enough. A temperature value or a stop signal means little until you know which equipment, which product, which order and which moment it belongs to.

AI becomes more useful when data is connected with:

  • Equipment
  • Process
  • Product
  • Material
  • Production Order
  • Quality
  • Maintenance
  • Time
  • Location
  • Events

The Manufacturing Data Hub does not create AI on its own. It prepares the structured, contextualized data that AI and analytics initiatives depend on.

  1. Raw DataSignals, values, records
  2. ContextEquipment, order, product, time
  3. KnowledgeRelationships & history
  4. AIModels that understand the factory

Contact

Start With One Line. Scale to Every Plant.

Tell us about your factory systems and the data challenges you face. We will help you design a Manufacturing Data Hub that fits your existing infrastructure.

Hãy chia sẻ về hệ thống hiện có trong nhà máy — chúng tôi sẽ cùng bạn thiết kế lớp dữ liệu sản xuất phù hợp.

  • Discovery workshop of your current systems
  • Pilot on one production line
  • Roadmap to multi-line and multi-site
contact@hoantrantdh.com