LorisQ - Global Networking for the Real Predictive Cloud-Based Measuring Equipment Maintenance

Mirna Lerotić, Siniša Prugovečki

Abstract

LorisQ is a cloud-based equipment management platform built on the understanding that measuring equipment maintenance is all about exchange of data and information between clients (equipment users) and service providers (calibration labs and others). Scaleability and flexible design is essential precondition for its global use by teams of all types and sizes: testing and calibration labs, manufacturing SMEs, corporate labs, maintenance, quality and purchasing departments, universities, hospitals and small maintenance service providers. Its client-provider interconnected workflow happening in the larger network makes both Excel data sheets and expensive database software solutions outdated and unnecessary and opens a way toward a real predictive maintenance by taking into account not just data from your own service provider network, but from the few orders of magnitude bigger one. On its way to machine learning, LorisQ offers realtime measurement corrections based on latest calibration data measurement, trend analysis and other advanced features so that users can finally cut their purchasing and maintenance costs and predict long term quality of their equipment.

Keywords

Measuring Equipment Management; Predictive Maintenance; Cloud; Big Data; Calibration Data; Trend Analysis

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IMEKO-TC10-2020-060.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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