SERQUET.
Data-driven decisions.
Our intelligent industrial monitoring system connects to multiple sources to identify root causes, predict deviations, and prescribe adjustments that enhance efficiency, autonomy, and safety in the production process.
Modules
Our smart assistant transforms plant-generated data into operational decisions that enhance the overall performance of the rolling process. Connected to various sources (ERP, IBA, among others), it analyzes the system’s status in real time, detects deviations, and recommends adjustments to optimize plant operations.
Thanks to a hybrid model (Edge/Industrial PC + Cloud) and a modular, flexible architecture, it adapts to each customer’s needs and supports the transition toward an autonomous plant.
01.
Analytics
Creation of a data lake, interactive dashboards, and real-time analytics (CEP) to identify the root cause of any deviation or failure.
02.
Predictive
Using advanced analytics, this module enables predictive maintenance through models like RUL (Remaining Useful Life) and forecasts when variables are approaching control limits.
03.
Prescriptive
Based on generated predictions, this module recommends and executes automatic readjustments of key parameters (such as energy consumption or GAP), ensuring optimal production conditions.
04.
Optimization
Designed to maximize system autonomy, this module optimizes recipes and processes, reduces operating costs, and improves overall production planning and efficiency.
Key Features
Continuous monitoring of process variables and key characteristics to detect deviations in real time.
Structured analysis of variable behavior over time.
An exclusive indicator of plant stability that enables precise detection and root cause identification of fluctuations.