Monitor the condition of equipment with multiple sensing technologies, and improve factory operational efficiency by maintaining it when abnormalities indicating potential failures are detected!
Many sites rely on human experience and perception to inspect manufacturing equipment, but to improve operational efficiency and accuracy, it is essential to effectively utilize IoT data. Attention should be paid to IoT solutions that achieve condition-based maintenance of equipment through multi-sensing.
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basic information
The abnormal detection solution introduced in this document processes and analyzes data collected from various sensors installed on equipment, achieving visualization of the site and rapid notifications. Additionally, it allows for remote monitoring of the equipment's condition and trends without having to go on-site, significantly reducing the burden on personnel. Abnormalities that could not be detected by a single sensor can be pre-detected through the combination of multiple sensors. Furthermore, the ease of registering learning data and the fact that retrofitting sensors eliminates the need for equipment modifications are also advantages. This document provides a more detailed introduction to the features, functions, and mechanisms of this solution, as well as an explanation of the effectiveness of multi-sensing in abnormal detection. Additionally, it includes images of tool wear detection for lathes using this solution and examples of remote maintenance of equipment, so please use it as a reference.
Price range
P5
Delivery Time
Applications/Examples of results
Abnormality detection of general-purpose motors Monitoring the operation of manufacturing equipment
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Company information
NTC, as a long-established system integrator focused on building large-scale mission-critical system infrastructures, has been providing high-difficulty and high-quality ICT infrastructures such as "communication system infrastructures, large-capacity data processing infrastructures, and big data analysis and utilization infrastructures." In recent years, we have been applying our cultivated technologies and know-how to focus on building IoT infrastructures and information analysis. We contribute to improving our customers' performance by leveraging advanced ICT technologies and experience, such as "building and operating communication and information utilization infrastructures that can adapt to the massive flow of sensor data" for manufacturing companies, and "building and operating business systems that cannot afford data loss or downtime" for telecommunications carriers.
