[Free Offer] Introducing the first steps to achieve predictive maintenance using IoT! Includes pre-check items and explanations on what to tackle first.
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 Scratch with IoT," which condenses our know-how! This document introduces how to get started with 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 one 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 towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.