Digital transformation in injection molding often starts with one simple question:
How do we get reliable machine data without replacing everything that already works?
In real-world factories, the challenge is rarely the lack of data. It is the fragmentation behind it.
Different machine brands use different protocols. Older machines may have no communication interface at all. Existing HMIs are difficult to replace. And when dozens or hundreds of machines need to be upgraded, the cost of adding PLCs, I/O modules, gateways, and communication devices quickly adds up.
So, is there a simpler way to collect cycle time, production, alarms, and energy data—while keeping existing HMIs and connecting the data directly to MES and cloud platforms?
BLIIOT’s BL192Pro Edge Controller is designed for exactly this scenario.
The BL192Pro integrates four functions into a single compact device:
PLC + I/O + Protocol Gateway + Cloud Gateway
Instead of building a complex architecture from multiple devices, manufacturers can use one EdgeIO controller to connect field signals, legacy systems, industrial networks, and cloud platforms.
One of the biggest concerns in machine retrofits is changing the operator interface.
Operators are already familiar with the existing HMI. Replacing it means additional engineering work, new screens, and retraining.
With the BL192Pro, the controller can work as a Modbus RTU slave, reproducing the register mapping required by the existing PLC/HMI architecture.
That means:
Keep the HMI. Keep the operator experience. Upgrade the machine connectivity.
No unnecessary interface redesign. No disruption to established workflows.
Industrial data becomes much more valuable when it can reach the systems that need it.
The BL192Pro supports MQTT, Modbus TCP, and OPC UA, allowing the same machine data to serve different systems simultaneously.
For example:
One data source can serve multiple destinations without building separate communication architectures for each system.
Machine connectivity is not simply about knowing whether a machine is running.
For injection molding, meaningful production data can include cycle time, output, alarms, energy consumption, pressure, and machine status.
With flexible Y-series I/O modules, the BL192Pro can collect different types of field signals:
Cycle & Production
High-speed counting channels, supporting up to 150 kHz, can be used to capture mold-opening/closing signals and accurately calculate production cycles and cycle time.
Status & Alarms
Digital inputs can collect dry-contact signals such as machine running, fault, and alarm status.
Energy & Process Data
Analog inputs can connect to current transformers, pressure sensors, and other field devices to monitor energy consumption and process conditions.
With more than 26 I/O board types and over 10,000 possible configurations, the same platform can adapt to both modern machines and legacy equipment.
Traditional machine retrofits often require a combination of:
PLC + I/O modules + protocol gateway + serial server + cloud gateway
More hardware means more wiring, more configuration, more cabinet space, and more points of failure.
By integrating these functions into one controller, the BL192Pro can significantly simplify the system architecture.
For large-scale machine retrofits, this can translate into substantial savings in hardware, engineering, installation, and maintenance costs.
The BL192Pro is more than a data acquisition device.
Its built-in logic control capabilities allow certain decisions to be executed locally—without relying on the cloud.
For example:
This local execution is especially important in industrial environments.
Even when the network connection is interrupted, critical control logic can continue running locally.
The cloud can analyze the data. The edge can act on it.
Machine downtime is expensive—and sending engineers to the site every time something goes wrong is not a scalable maintenance strategy.
With BLRAT remote access, engineers can remotely access connected devices for tasks such as parameter adjustments, troubleshooting, and firmware maintenance.
In practical applications, remote diagnostics can significantly reduce unnecessary site visits and help maintenance teams respond faster.
For factories managing dozens or hundreds of machines, the difference can be substantial:
Less travel. Less downtime. Faster troubleshooting.
Injection molding environments can be demanding, with heat, oil, electrical noise, and continuous operation.
The BL192Pro is designed for industrial deployment, featuring:
It can fit directly into existing control cabinets without requiring significant additional space.
The architecture is particularly suitable for:
Injection Molding OEE
Collect machine status, cycle counts, alarms, and production data, then send the data to cloud dashboards via MQTT or provide it to MES through OPC UA.
Legacy Machine Connectivity
Collect signals from older machines, preserve existing HMIs, and add modern connectivity without completely replacing the original control architecture.
Distributed Machine Management
Connect machines across multiple production areas or sites, execute local logic at the edge, and send centralized data to management platforms.
Consider a production line with machines that have been operating for years.
The original PLC is discontinued. Spare parts are becoming difficult to source. The HMI is still perfectly usable, but the machine has little connectivity.
Instead of rebuilding the entire control system, an EdgeIO architecture can provide a more practical path forward:
This is what practical digital transformation should look like.
Not replacing everything.
Not rebuilding everything.
But connecting what already works—and adding the digital capabilities the factory needs next.
The BL192Pro brings I/O, control, protocol conversion, and cloud connectivity together in one Edge Controller.
For injection molding manufacturers, it provides a practical way to move from isolated machines to connected production—while protecting existing investments and simplifying the path to OEE, MES, SCADA, and IIoT.
The goal of machine digitalization isn't to add more hardware. It's to get more value from the machines you already have.
