GPLG · CONNECTED INDUSTRY
Industrial IoT
Connect machines, industrial data and higher-level systems with a structured IIoT architecture.
GPLG develops Industrial Internet of Things solutions that make operational information available beyond individual machines. We connect equipment, PLCs, sensors, gateways, databases and software while preserving clear boundaries between deterministic control and information systems.
FROM ISOLATED EQUIPMENT TO CONNECTED PRODUCTION
Make industrial information available where it creates value
Machines often contain valuable operating information that remains isolated inside individual controllers or local HMIs. An IIoT architecture can expose selected data to supervisory, analytical and business systems without changing the fundamental responsibility of machine control.
The objective is not to connect everything indiscriminately. It is to identify useful information, define ownership and build a controlled path from the source to the systems that need it.
Connect the information—not the safety responsibility—to the wider network.
CONNECTED INDUSTRIAL DATA
What an IIoT layer can provide
Machine connectivity
Collect selected operating values, states and production information from industrial equipment.
Data contextualisation
Associate raw values with machine, process, product or production context.
Information distribution
Deliver relevant data to applications, databases, dashboards and analytical systems.
System integration
Bridge industrial equipment and higher-level software through clearly defined interfaces.
CONNECTED FACTORY
Industrial connectivity across machines, cells and production systems
A structured network and data layer allows information to move from equipment to the applications that supervise, store and analyse the production process.
IIOT ARCHITECTURE
From field equipment to useful information
A practical Industrial IoT architecture separates machine control from data transport and higher-level applications. This makes responsibilities clearer and allows each layer to evolve without unnecessarily disturbing the others.
INDUSTRIAL DATA FLOW
CONNECTIVITY PRINCIPLES
Build the data path around the industrial environment
Interoperability
Use appropriate standards and interfaces to exchange information between different systems.
Context
Preserve meaning around values so downstream applications understand what the data represents.
Segmentation
Maintain clear separation between control, information and external system responsibilities.
Maintainability
Structure connections and data models so future equipment and applications can be integrated coherently.
INDUSTRIAL IoT IN PRACTICE
Connectivity begins with the equipment already on the factory floor
Existing PLCs, machines, sensors and supervisory systems can often provide the starting point for a connected architecture without replacing the underlying automation.
OPC UA
Structured industrial information exchange
OPC UA can provide a standardised interface for industrial information, including structured data models and secure client/server communication.
GPLG can use OPC UA where it is supported by the equipment and appropriate for the architecture, allowing industrial applications to consume information through a consistent interface.
MQTT
Publish and distribute selected industrial data
MQTT can provide lightweight publish/subscribe communication between connected systems. It is particularly useful where information must be distributed to multiple consumers without tightly coupling each application to the source.
Topic structure, payload definition, quality of service and broker architecture are engineered around the project rather than treated as generic defaults.
EDGE & DATA HANDLING
Process information close to the industrial source when appropriate
Acquisition
Read approved values from industrial equipment and communication interfaces.
Normalisation
Transform source-specific information into a consistent structure for downstream use.
Buffering
Where required, manage temporary data handling around intermittent downstream connectivity.
Distribution
Send selected information to databases, applications, dashboards or analytical services.
EXISTING INSTALLATIONS
Connect legacy and modern equipment within one architecture
An IIoT project does not automatically require replacing existing automation. The first step is to understand what information the installed equipment can already provide and through which interfaces.
Gateways, protocol conversion or dedicated software can then be considered where they add a controlled bridge between older equipment and modern information systems.
FROM MACHINE TO CONNECTED SYSTEM
A structured IIoT engineering process
Site & data assessment
Identify equipment, networks, available interfaces and the information that creates operational value.
Architecture
Define control boundaries, connectivity layers, protocols, data flow and target systems.
Connectivity
Configure approved interfaces, gateways and communication services.
Data modelling
Structure tags, topics and context so information remains understandable downstream.
Integration & testing
Validate communication, data quality, failure behaviour and integration with target applications.
Support & expansion
Extend the architecture as additional machines, data sources and applications are introduced.
CONNECTED ENGINEERING
Industrial IoT within the wider GPLG technology environment
OPC UA & MQTT
Industrial communication technologies for structured data exchange.
Explore →SCADA Systems
Supervision, alarms, trends and historical production information.
Explore →Database Solutions
Structured storage and access for industrial and application data.
Explore →PLG AI
Industrial intelligence around data, vision and analytical workflows.
Explore →INDUSTRIAL IoT
Need to connect machines and industrial data?
GPLG can assess the installed equipment, available interfaces and required information flow to design a practical IIoT architecture.