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SIMBA

Intelligent maintenance system based on the actual equipment status

Field
Regional
Date
01/06/2018 - 30/06/2020
Industry
  • Manufactura
Budget
370000
Funded by

IVACE

Website
Video

PROJECT INFORMATION

DESCRIPTION

The ultimate goal of the project is to develop an intelligent system for analyzing the operation of two specific classes of machines (stamping presses and automatic lathes), based on real-time information provided by a set of sensors that measure various equipment variables. This intelligent system, located on an ad-hoc platform, will be accessible to any company in the sector that follows the previously defined measurement protocols, and the results of the predictions can be continuously visualized by each user company.

The final objective of the project is to develop an intelligent system for analyzing the operation of two specific classes of machines (stamping presses and automatic lathes), based on real-time information provided by a set of sensors that measure various equipment variables. This intelligent system, located on an ad-hoc platform, will be accessible to any company in the sector that follows the previously defined measurement protocols, and the results of the predictions can be continuously visualized by each user company.

Impact

A data extraction, storage and transmission system has been developed. The storage is done locally, and then the data is uploaded to the web platform.
Several data analysis systems have been developed based on the information collected in the pilot companies.
An application has been developed for data visualization and analysis on a commercial IoT platform (NEXUS INTEGRA), accessible to any company.
Pilot tests have been carried out in two companies of the sector (KAMAX and FACTOR), in order to validate the physical elements of data extraction, the extraction and communication procedures and the functioning of the configured web platform.

Success stories

Pilots developed in KAMAX and FACTOR

Contact information

José Luis Sánchez Asins
Industrial Development Manager

AIDIMME

Technological capabilities

IA
Real-time data analysis