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Industrial IoT

iot
Connecting Machines, Data and Industrial Operations

GPLG develops Industrial IoT solutions that connect machines, sensors and industrial equipment with software systems, enabling companies to collect, monitor and use operational information more effectively.

From individual machines to connected production environments, we design IoT architectures around the requirements of the industrial process.

Discuss an IoT Project

Connecting the Physical Factory to the Digital Environment

Modern industrial equipment generates significant amounts of information.

Machine status, temperatures, production counts, energy consumption, cycle times, alarms and other operating parameters can provide valuable insight into the production process.

Industrial IoT creates the infrastructure required to collect this information from the physical environment and make it available to the software systems that need it.

GPLG designs IoT solutions that connect:

Machines
Sensors
Industrial Networks
Data
Software
Operations

The objective is not simply to collect more information.

It is to make industrial information usable.

⚙️

From Industrial Equipment to Connected Systems

An Industrial IoT architecture provides a structured way to collect information from industrial assets and make that information available to higher-level systems.
The architecture can be small and focused on a single machine or expanded across an entire production environment.

INDUSTRIAL IoT
DATA ACQUISITION
Machines
Sensors
PLCs
Industrial Network
IoT / Edge Layer
Data & Applications
SCADA
Software
Analytics

WHAT WE CONNECT

Machines

Connect existing and new industrial machinery to collect relevant operating information.

PLC Systems

Acquire selected process information from industrial control systems.

Sensors

Temperature, pressure, vibration, load, energy and other industrial measurements.

CNC Equipment

Connect machining environments to collect relevant production and operational information.

Robotics

Collect information from robotic systems and automated cells.

Production Lines

Connect multiple machines and systems to create a more comprehensive view of the production process.

INDUSTRIAL DATA ACQUISITION
📊

INDUSTRIAL DATA ACQUISITION: Collecting the Right Information

IoT begins with understanding what information is actually required. Depending on the application, GPLG can design data acquisition around parameters such as:

Machine status
Production quantities
Cycle times
Temperatures
Pressures
Vibration
Energy consumption
Machine alarms
Operating conditions
Process parameters
CONNECTING EXISTING MACHINES
🔄

Modernising Equipment Without Replacing Everything

Many factories contain machines from different generations. Replacing an entire production line simply to obtain modern connectivity is not always practical.
Industrial IoT can provide a way to connect existing equipment to newer digital systems.

TYPICAL ENVIRONMENT
Older Machine
PLC / Controller
Communication Layer
IoT Gateway
Industrial Network
Digital Systems
EDGE INDUSTRIAL IoT

Processing Information Close to the Machine

Not every application requires all information to be transferred to a central system. Edge computing allows certain processing tasks to take place close to the industrial equipment.

EDGE COMPUTING ARCHITECTURE
Machine
Sensors / PLC
Edge Device
Local Processing
Relevant Data
Industrial Software
KEY BENEFITS & APPLICATIONS
Fast response
Local processing
Reduced network traffic
Local data filtering
Continuous operation
INDUSTRIAL IoT ARCHITECTURE
🏗️

Designed Around the Existing Automation System

GPLG designs the IoT layer as part of the wider automation architecture.
The objective is to ensure that machines, control systems, and digital applications work together rather than creating another isolated technology layer.

INTEGRATED AUTOMATION ARCHITECTURE
Machines
PLCs
Robots
CNC
Industrial Network
IoT / Edge Layer
Data Processing Layer
SCADA
Software
Analytics
Management
INDUSTRIAL IoT + SCADA

🖥️

IoT and Industrial Supervision

Industrial IoT can provide additional data to supervision and monitoring systems, expanding the amount of operational information available to operators and engineering teams.

DATA INTEGRATION FLOW

Machines
IoT Layer
SCADA / Supervision

DISTINCT ROLES & PURPOSES
SCADA
Focuses primarily on real-time supervision, monitoring, and operational control.
Industrial IoT
Focuses on connecting industrial assets and making information available to wider digital systems and applications.

INDUSTRIAL IoT + DATA
💡

Turning Machine Information Into Usable Data

IoT systems can transform information generated by industrial equipment into structured data that can be used by other applications. This can support:

Production analysis
Performance monitoring
Historical analysis
Maintenance analysis
Energy monitoring
Operational reporting
INDUSTRIAL IoT + AI

🤖

Connected Data Creates Opportunities for Intelligence

Once industrial information is available in a structured form, it can become a source for more advanced applications.

Industrial Data
Data Processing
PLG AI
Analysis / Prediction / Detection

INDUSTRIAL IoT + MACHINE VISION

📷

Connecting Visual Information to Industrial Systems

Industrial cameras can also become part of a connected industrial environment.

Camera
Image Processing
Inspection Result
Industrial IoT / Software
Production Information

INDUSTRIAL MONITORING

Know What Is Happening Across the Factory

Industrial IoT can provide a more comprehensive view of equipment and processes.Depending on the system architecture, companies can monitor:

Production

What is being produced?

Equipment

Which machines are operating?

Performance

How efficiently are machines operating?

Conditions

Are operating parameters within expected ranges?

Energy

How much energy is being consumed?

Events

What alarms, interruptions or abnormal conditions have occurred?

INDUSTRIAL IoT APPLICATIONS

Production Monitoring

Connect machines and production equipment to monitor operational information.

Machine Monitoring

Track operating conditions and machine status.

Energy Monitoring

Collect and analyse energy-related information.

Predictive Maintenance

Provide the data infrastructure required for predictive maintenance applications.

Remote Monitoring

Make selected industrial information available remotely where appropriate.

Factory Connectivity

Connect multiple machines and systems into a unified industrial information architecture.

IoT FOR SMART MANUFACTURING

🏭

Building a More Connected Factory

Industrial IoT is one of the foundations of modern smart manufacturing. A connected production environment can provide a clearer relationship between:

Equipment
Production
Data
Analysis
Decision
Improvement

INDUSTRIAL IoT IMPLEMENTATION
🔄

From Existing Equipment to Connected Factory

Transitioning to a connected environment requires a structured methodology. GPLG uses a professional 7-step process to integrate IoT capabilities reliably.

01
Assessment
Analyse the existing machinery, systems and connectivity.
02
Objectives
Define what information is actually required and why.
03
Architecture
Design the communication and IoT architecture.
04
Data Acquisition
Implement the required connections to machines, PLCs and sensors.
05
Edge / Processing
Configure local processing and data handling where required.
06
Integration
Connect the IoT layer with the relevant software and industrial systems.
07
Validation
Test the complete system and verify that the required information is available and reliable.
INDUSTRIAL IoT TECHNOLOGIES
🛠️

Technologies Used Within Our IoT Architecture

Communication
📡 OPC UA MQTT 🔌 REST APIs
Software
🐍 Python 🔷 C# / .NET
Infrastructure
🐧 Linux 🐳 Docker
Industrial Systems
⚙️ PLC 🖥️ SCADA
SECURITY & RELIABILITY
🔒

Industrial Connectivity Requires a Controlled Architecture

Connecting industrial equipment to digital networks must be done carefully. GPLG considers critical architectural factors to ensure seamless integration:

🌐 Network architecture
🔑 Access control
🔀 Data flow
🧱 System segmentation
🛡️ Device security
📡 Communication reliability
⚙️ Local vs. remote processing
🔄 Operational continuity
The IoT architecture should be designed without compromising the reliability and safety requirements of the industrial control environment.
ENGINEERING PRINCIPLES

🎯

Our Approach to Industrial IoT

🎯
Purpose Driven
We connect equipment because there is a defined operational or engineering reason.
🔗
Integration First
IoT is designed as part of the existing automation architecture.
📈
Scalable
The system can grow as additional machines and applications are introduced.
⚙️
Reliable
Industrial environments require stable and predictable communication.
🛡️
Secure
Connectivity and data access must be designed responsibly.
💡
Practical
We select technologies according to the actual requirements of the application.

Connect Your Industrial Environment

Whether you need to connect a single machine, modernise existing equipment or create a connected production environment, GPLG can design and implement the appropriate Industrial IoT architecture.

Discuss an IoT Project

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