Many discrete equipment on site, high management difficulty, hard quality traceability; manual equipment maintenance leads to frequent failures and long abnormal downtime; Unable to obtain process parameters (temperature, speed, etc.) in real time, difficult to control, prone to quality issues; Production site data mainly relies on manual statistics, unable to monitor site dynamics in real time.
Application Layer - Equipment Efficiency Management: Manage equipment efficiency, locate abnormalities - Predictive Maintenance: Achieve predictive maintenance for key equipment like centrifugal casting machines and pouring machines - Process Parameter Monitoring: Error and misuse prevention for process parameters such as spectrum detectors - Andon Alarm: Automatically generate repair orders for equipment abnormalities - MES Integration Services: Others include orders, quality, planning, and scheduling Platform Layer - IoT Platform + Multi-factor Analysis Tool: Pilot phase connected 20+ core machines, centrifugal casters, pouring machines, mobile platforms, spectrometers for equipment monitoring and management - Data Display, Data Processing, Rule Modeling, and Data Analysis Edge Layer/Equipment Layer - Edge Gateway: Equipment and process data collection - Automated Control: Equipment logic control
