Predictive maintenance solution | Testing and experimentation in a simulated plant environment
Introduced a simulated plant facility. Enables testing and experiments for various applications such as forced errors and sensor selection.
The industrial IoT is being introduced in various fields. However, a lot of verification is necessary for implementation. In particular, experiments in manufacturing sites face many hurdles, such as the installation of sensors and the difficulty of encountering errors. In response, our company has introduced a "pseudo plant" facility. By using this facility, which is composed of motors and pumps, for verification purposes, we can enable: - Forced errors - Sensor selection - Verification of analysis - Data collection - Equipment selection And so on, allowing for applications and preliminary verifications in various fields. We encourage you to utilize this facility for the implementation of your predictive maintenance systems.
basic information
Pseudo plant equipment using a pump and motor. Standard features include vibration sensors, flow meters, and NI CompactRIO (embedded Linux-based measurement edge). Cavitation and vibration generation due to flow control. Presence or absence of core shift. This equipment is installed at the Tokyo headquarters of E.I. Sol, Inc. We will conduct experiments and verifications in collaboration with our customers, including sensor selection and analysis validation.
Price range
Delivery Time
Applications/Examples of results
Customers considering the introduction of predictive maintenance systems, machine learning, and more. - Verification and selection of sensors. - Verification of analysis algorithms. - Confirmation of system operation. - Data collection through forced error generation. We will implement various pre-verification and testing processes.
