TEXTILE

Accurately collect, manage, clean and analyse machinery data to prevent breakdowns and associated losses, providing suggestions and complete reviews to improve asset maintenance can change how textile machinery is managed.

OUR PLATFORM   /   HOW IT WORKS   /   KEY FEATURES

Predictive analytics

Enable an early prediction of your machinery behavior with a ML platform that detects anomalies and lets you plan your maintenance

IIoT Connectivity

You can connect to Inrobin’s platform with the main IIoT protocols: MQTT, OPCUA, MT Connect…

OPEX Reduction

Your company will benefit in 90 days, improving performance and better OPEX, rising reliability and availability of your assets

OUR PLATFORM

Our platform gathers industrial process data to help you analyze and visualize it. We want to be the solution of machinery breakdown and downtime by completing the IIoT cycle with an IIoT+ML dashboard.

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Holistic platform

The platform is always analysing incoming data and providing features such as graphs and tables for collaborator use, accessible at any time via the platform website accessible through any device.

By detecting abnormal behaviors we allow manufacturers to tackle together the risks that affect their business, reducing OPEX by reducing or eliminating downtime.

Our predictive analytics is complemented by a simple and easy to use work order functionalities to start implementing predictive maintenance in your factories.

Vision

Inrobin offers a platform to create predictive alarms and alerts of anomalies of your machinery. The platform delivers alerts as soon as they appear so the collaborator is always informed about what is going to happen to their asset based on the variables the collaborator is monitoring.

Platform graphs, tables, and information can be incorporated into collaborator reports. Inrobin is constantly developing these features and will develop new features as well. Inrobin announces the maintenance times beforehand via a platform pop-up, SMS and email.

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Data visualization
Connect your industrial data securely and automatically since its source to results visualization.
Inrobin’s database

Store the data in Inrobin’s database, conceived to propagate it within the system only for machinery prognosis

Organize your maintenance

Visualize the insights given by the models and organize your maintenance accordingly to become a real Industry 4.0.

HOW IT WORKS?

We want to be the solution by completing the IIoT cycle
with an IIoT+ML dashboard.

Build database for sensor data

Share data via real-time connection

Analysis
&
Prediction

Dashboard visualization

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IIoT technology

We aim at being at intersection between industry and insurance, and for that reason we will be able to offer a wide spectrum of connectivity. To say: MQTT, OPC UA, OPC DA,Modbus, BACnet, Ethernet IP, Allen Bradleyand MT Connect.

Data flow

1.- Split Data into:  Training, Validation and Test datasets typicaly in the ratio 70:15:15

2.- Build predictive model on training, validation datasets using one or more learning algorithms.

3.- Measure the performance prediction of model on validation dataset using error date. Tune model as necesary.

Sample data

Training Dataset

 

Predictive Model

Tuned Predictive Model

IIoT platform enabling predictive maintenance of your industrial assets with Machine Learning.

KEY FEATURES

  • Multi-user account
  • Significant variables hierarchization
  • Time series prediction
  • Data visualization graphs
  • Customized performance reports
  • Asset breakdown SMS alerts
  • Notification of alerts
  • Maintenance logs