Easy implementation to visualize the history of factory equipment [Equipment Operation Monitor]
Real-time monitoring of factory equipment and site conditions! Achieving overall operational rate monitoring, anomaly detection, maintenance management, production management, and analysis tasks.
This is a web application that allows for easy and inexpensive remote monitoring of equipment, accumulation of historical data, and analysis simply by connecting DX/IoT devices (IoT data collectors) to the PLC that controls the equipment. ■ Affordable pricing makes it easy to implement DX/IoT This IoT solution is priced to be easily adopted by medium and small enterprises, matching the need to start DX/IoT initiatives. ■ Use only the necessary functions from a wide range of features Customers can select features according to their needs. This means you can use only the necessary functions, minimizing costs associated with DX/IoT implementation. ■ Application features packed with manufacturer technology The application covers not only equipment monitoring and visualization but also predictive maintenance and analysis/improvement activities according to usage. ■ Cloud-based for "factory monitoring anytime, anywhere" With cloud technology, rapid response preparation and actions can be taken in the event of trouble, allowing for quick information sharing among all stakeholders. ■ We provide solutions to prevent equipment from stopping the factory Dangerous signs from equipment are alarmed, enabling predictive and preventive maintenance. Even if equipment does stop, rapid response is possible.
basic information
Three Steps to Use the Service 1. Install the data collector (as short as 5 minutes) 2. Set up tags and configure the information you want to see in the web app (time required: 1-2 hours) 3. Start monitoring / Review tag and threshold settings (monitoring can start the same day)
Price information
Initial cost: 150,000 yen Monthly cost: 5,000 to 28,000 yen
Price range
P1
Delivery Time
P1
Applications/Examples of results
■Visualizing operational status to lead to improvements - Detailed visualization of changes in operational status to support improvement activities - Quickly responding by understanding data trends within a single piece of equipment ■Reducing downtime to increase factory profits - Understanding the history of alarm occurrences and recovery times to facilitate early detection of issues and countermeasures - Implementing planned maintenance through alarm notifications for maintenance timing
