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Internet of Things: Monitor and analyze real-time data. Enhance your equipment performance.
Realize real-time monitoring to the point of milliseconds. Spot data changes in an instant with color indicators.
Receive push notifications of factory conditions from mobiles devices. Monitor data anytime, anywhere.
Automatically save collected data to any supported database. Discover data trends with time series analysis.
Gather historical sensor data and visualzie them on the Dashboard. Discover data trends and help enhance equipment performance.
Monitor real-time data on the Dashboard.
● Realize real-time monitoring to the point of milliseconds.
● No need to extract data from the database. All data are loaded from the MQTT server.
● IoT monitoring through MQTT technology.
● WebSocket: Swiftly send data to the front end using WebSocket protocol.
● Rich color management: Spot data changes in an instant with color indicators.
Increase your efficiency in discovering data trends and enhancing equipment performance.
● Analyze data on the Dashboard: Gather historical sensor data and visualize them on the Dashboard.
● One click: Add time range parameters, set aggregate calculations (MAX, MIN, AVG) fast and easy.
● Automatically created data tables: Data tables are automatically created for sensor data and are grouped by time intervals. (e.g. 5 seconds, 1 minute, and 7 days.)
● Supported data storage: A variety of databases are available, including cloud databases, Oracle, SQL Server, MySQL, Postgre SQL, Informix, Sybase, MariaDB, DB2, Teradata...etc.
Make visualizations and other applications possible with historical sensor data.
● Automatically save collected data to any supported database.
● Supported data storage: A variety of databases are available, including cloud databases, Oracle, SQL Server, MySQL, Postgre SQL, Informix, Sybase, MariaDB, DB2, Teradata...etc.
● Anomalies will be automatically recorded in MongoDB.
● Time series analysis: Gather historical sensor data and visualzie them on the Dashboard. Discover data trends and help enhance equipment performance.
Get a hold of anomalies fast and easily through mobile devices.
● Highly customize mobile alert settings as specific as over-the-limit time count and duration.
● Design custom alert messages for exceptional management. Enhance your alerts by including parameters of exceptional statistics.
● Send alert messages via multiple medium: LINE, WeChat, Mail, Smart eVision Mobile App, and SMS.
● No coding required. Meet specific demands with user-friendly settings.
Receive push notifications of factory conditions from mobiles devices. Monitor data anytime, anywhere.
● Aside from mobile push notifications, messages can also be published to the MQTT server.
● Remote monitoring: MQTT integrated with IoT services makes remote monitoring possible.
● In an Internet-free environment, combine Smart eVision monitoring with your own MQTT application.
IoT can be used along with Smart eVision's exclusive Real-time Data Warehouse (DW) to analyze large amounts of data in Analysis.
There is not need to rebuild data warehouses for updates.
MQTT data is also a possible data source of Smart eVision. Our exclusive backend engine can directly connect to the MQTT server, allowing real-time data monitoring through a faster protocol.
CPU: Intel Pentium 4, AMD Opteron or later versions
RAM: Above 8G
HDD: Above 160G
(Better equipment, better performance)
(It is recommended to have at least 8G of disk space available.)
Operating Systems:
Windows 2008 Server, Windows 2012 Server, Windows 2016 Server, Windows 7 Professional, Windows 8, Windows 10
*Microsoft IIS 7.0 or later versions
*Microsoft .NET Framework 4.7.0 & .NET Core 3.0
*Recommend using Google Chrome or Internet Explorer11 or later versions
*Java JDK7 (Install only when using Android AppBuilder)
*Install AccessDatabaseEngine
CPU: Intel Pentium 4, AMD Opteron or later versions
RAM: Above 1G
HDD: Above 80G
(Better equipment, better performance)
Operating Systems
Windows 2008 Server, Windows 2012 Server, Windows 7 Professional, Windows 8, Windows 10
**Recommend using Google Chrome or Internet Explorer11 or later versions
*Microsoft PowerPoint 2007 or later versions