2025
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The Cross-Brand Industrial Equipment Intelligent Platform is a cutting-edge smart operation and maintenance management system designed to handle multi-brand devices with precision. It is specifically designed for fault diagnosis and maintenance, widely used in monitoring industrial equipment in real-time and providing advanced predictive analyses.
The platform boasts a clear, user-friendly interface combined with streamlined, intuitive workflows that make navigation and operation effortless. To safeguard data integrity and ensure compliance, it incorporates robust hierarchical permission management, allowing administrators to control access levels effectively.
One of the platform’s standout features is its ability to collect and analyze real-time operational data, such as current, voltage, temperature, and other critical parameters, with pinpoint accuracy. This enables comprehensive monitoring of equipment performance, helping to detect anomalies early and issue timely warnings.
To empower users with actionable insights, the platform offers rich, multi-dimensional data visualization tools. These include time-domain and frequency-domain waveform graphs, historical operational data trends, and detailed warning logs. Such visual aids not only simplify complex data but also enable informed decision-making and efficient maintenance planning.
Flexibility is another hallmark of this system. It allows users to configure key operational parameters—such as bearing temperature thresholds, voltage limits, current ranges, and outlet water pressure levels—to suit specific needs. Moreover, the system leverages both real-time and historical data to dynamically adjust its health assessment models, ensuring accurate and adaptive evaluations of equipment conditions.
Complementing these capabilities are advanced management features, including system logs, user permissions, menu and role management. Together, these tools form a cohesive, closed-loop maintenance ecosystem that elevates the overall intelligence of equipment management and boosts operational efficiency across the board.
Credits
Entrant Company
New York University
Category
Design and Creativity - Card
Country / Region
United States
Entrant Company
New York University
Category
Design and Creativity - Student Design
Country / Region
United States
Entrant Company
Jiazhao Shi, Chuanrui Li, Kuan Lu, and Donghui Zhang
Category
Website & Mobile Sites - Responsible AI (NEW)
Country / Region
United States
Entrant Company
Xinxun Liao
Category
Video / Online Video - Educational
Country / Region
United States