[Free Offer] Introducing the first steps to achieve predictive maintenance using IoT! Includes preliminary check items as well. Explains what you should start with.
Our company, which is engaged in a wide range of activities from software development and sales for scientific technology and engineering simulation to consulting, is currently offering a free technical document titled "Predictive Maintenance Starting from Zero with IoT," which condenses our know-how! This document introduces how to start predictive maintenance in a way that aligns with real-world practices, which is not often covered elsewhere. By reading it, you will understand the "specific steps" to take when building a system. [Contents Overview (Partial)] ■ What to start with for predictive maintenance ■ Organizing and digitizing information ■ Analyzing failure information ■ Examining information obtained from sensors *You can view it immediately from the "PDF Download."
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Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into a system that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.