IWOScene Application System

INVT IWoScene industrial IoT application platform from INVT is an IoT system that can be remotely monitored, managed, analyzed, and maintained.

Through lifecycle management, users can quickly understand device usage history and always know the device running status through data analysis and predictive maintenance.
The platform processes data to remind about device maintenance and send fault alarms. It also supports real-time monitoring, remote control, and remote upgrades.
IWoScene addresses the issues of inconvenient device management and maintenance, making work more efficient.
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1. SCADA: Data acquisition and monitoring system
* Data cockpit: Provides a comprehensive view of the device data within the system, with simple operation and user-friendly interface.
* Device energy consumption analysis: Offers customized energy consumption analysis for online devices, allowing real-time monitoring of device energy usage.
* Historical data query and export: Provides objective data support for device fault classification and device upgrades.
* Device group control: Coordinated control of multiple devices to meet device joint debugging needs.
* Low-code configuration editor: Allows users to freely configure according to their own needs.

2. OMS: Operation and maintenance system
* Fault management: Records all fault alarm situations during device operation.
* Remote Programming: Enables users to remotely open on-site device through remote pass-through technology on the host controller.
Remote OTA upgrade: Facilitates remote upgrades for IoT terminals and devices.
* Maintenance management: Device maintenance plans and notifications.
* Work order management: Supports the processing of work orders triggered by various events (faults, maintenance and pre-alarms), achieving a closed loop of "person-event-object".
* Black box data: Stores all data prior to device faults, enhancing the data slices for fault analysis.
* Predictive maintenance: Provides pre-alarm of device lifecycle conditions through data modeling and analysis.
* Fault management: Records device faults and fault alarms.
* Online and offline analysis: Analyzes reasons for device online and offline statuses.
* Predictive maintenance: Predicts the lifespan of the device and spare parts based on data analysis.

Specification:

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