Solution Example (Manufacturing Industry) - Abnormality Detection of Equipment Using Current Sensors

Solution Example (Manufacturing Industry) - Abnormality Detection of Equipment Using Current Sensors

This is an anomaly detection system that utilizes AI in collaboration with Contec's IoT gateway and partner solutions.

The IoT gateway CONPROSYS enables the quick and easy establishment of an anomaly detection system utilizing AI in collaboration with partner solutions. Customers can execute all processes themselves, including data collection, selection of analysis models, registration of teacher (normal) data, and additional registration of teacher (accuracy improvement) data. This system serves as an example of a solution built with our CONPROSYS and the automatic detection solution for the manufacturing industry provided by NTC Corporation, "LOSSØ-STANDARD." An external clamp-type current sensor is installed on the power supply cable to equipment such as compressors, agitators, and machining tools, allowing data collection via CONPROSYS. The collected data can be analyzed using the analysis model of LOSSØ-STANDARD by simply specifying and registering the normal patterns. Additionally, to improve accuracy, customers can perform model re-tuning themselves using the "remodeling function." **Recommended Products** ● M2M Controller Series Easily build an IoT environment. Flexible configurations are possible depending on installation location, wiring methods, and the number of I/O points.

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【Main Features】 ● Easy and speedy collection of sensor data By combining CONPROSYS with current sensors, you can skip various tasks involved in analyzing sensor data and collect data efficiently. Additionally, using external clamp-type current sensors allows for easy installation even on older equipment. ● Three carefully selected analysis models The "LOSSØ-STANDARD" comes standard with a model that is considered optimal for capturing the characteristics of current sensors, which customers can freely choose and try out. ● "Remodeling function" for accuracy improvement In the "LOSSØ-STANDARD," after registering normal patterns, it is easy to add normal data for the purpose of accuracy improvement. Normal data can be easily selected and added from the graph.