Factova Control: screen showing real-time PLC status, protocols, and tag values for each piece of equipment
HOME/04 Automation Control/Factova Control
Automation Control

Factova Control

A Software Defined Automation platform that collects equipment data, controls equipment, and puts data to use

WHY

Why Is It Needed?

01 "The equipment in our factory differs by manufacturer, so it's hard to collect data."
Factova Control Complete connectivity by standardizing every equipment language
02 "How do we connect 20-year-old machines with the latest equipment?"
Factova Control Real-time data collection from legacy equipment to the latest robots
03 "We want to know equipment status in real time, but we have to walk around and check each one."
Factova Control Check the status of all equipment in real time, even remotely
VIDEO

Factova Control at a Glance

WHERE

Where Is It Used?

Target Industries
Manufacturing that needs to collect diverse equipment data and respond to and manage product quality and equipment anomalies quickly Fields such as pharma and medical where regulatory compliance and traceability are critical
Target Customers
Companies with high risk of equipment failure and process interruption that need data in advance Companies where equipment data is not collected, or only partially collected
KEY CAPABILITIES

Four Key Functions of Factova Control

01 Standardized Communication for Heterogeneous Equipment
Integrates diverse PLC, robot, and industrial protocols into a standard structure Automatically maps data tags and signals into a common format Ensures full compatibility between equipment of different brands and generations
02 Real-Time Data Collection and Processing
Ultra-low-latency collection and preprocessing of data from PLCs, robots, sensors, and more Performs noise filtering, outlier removal, data compression, and cleansing Transmits data in the form required by upper-level systems (Hub, Twin, AI)
03 Application Development and Mashup UI
Low-code program development Monitoring screens and operating UI configuration Rapid PoC and service implementation
04 AI-Integrated Extensible Framework
Built-in machine-learning-based lightweight training and inference Training, storage, and inference performed internally without an external ML server Real-time anomaly prediction using stored models
Production monitoring integration (Factova View)
MODULES

Beyond Data Collection: The Equipment Control Solution Ecosystem

AMR/AGV/OHT/Conveyor Control Control Architecture by Logistics Equipment Type High scalability and efficient operating algorithms
Equipment Control System Loader, Robot, and Process equipment Supports diverse mixed-equipment configurations
Material Control System Real-Time Logistics Orchestration Optimized control of material flow across all equipment
Stacker Crane, High Picker Control Operation integrated with logistics automation systems High precision and equipment safety control
IMPACT

Benefits

Proven across diverse industries and equipment
Years in operation
20+ years
Operating licenses
License
100,000+
Before vs. After Deployment
Tack Time
Before 59 sec → After 50 sec
9sec ↓
Before vs. After Deployment
Test duration
Before 21 days → After 3 days
18days ↓
WHY LG CNS

Why LG CNS

01 Unifies runtime data from multi-brand heterogeneous equipment into a single interface

Collects and standardizes data from multi-vendor heterogeneous equipment that exists but is hard to access.

02 Lower cost and lead time for equipment retrofits

Its plug-and-play architecture makes adding equipment easy, with shorter integration lead times than other solutions.

03 Seamless integration with upper-level systems

Data standardization and modeling make it easy to connect with upper-level systems (MES, SCADA, IoT platforms).

REFERENCE

References

Move to top