Tung Yu IIoT Industrial Internet of Things Solutions

Production Challenges

Insufficient or excessive molding time, uneven mold temperature distribution, and fluctuations in process parameters can lead to incomplete curing, overcuring, scorching, and inconsistent product quality. When quality control relies primarily on manual sampling, certain process abnormalities may go undetected.

IIoT Solutions

• Monitor mold temperatures and key process parameters in real time to identify temperature deviations and process variations.

• Record temperature, pressure, and molding time for each molding cycle to establish traceable production records.

• Integrate equipment alarms and process data to help operators identify abnormalities and investigate potential causes more efficiently.

Production Challenges

Abnormal oil temperatures, cylinder leakage, pressure-holding degradation, and pump wear can affect equipment performance and lead to unexpected downtime. Traditional time-based maintenance may not always reflect the actual operating condition of equipment.

IIoT Solutions

• Monitor oil temperature, hydraulic pressure, and pressure-holding conditions to identify potential operating abnormalities.

• Analyze pressure variations and equipment operating data to detect early signs of performance deterioration.

• Establish anomaly alerts and maintenance management mechanisms based on available sensor data and equipment diagnostic capabilities.

Production Challenges

When equipment malfunctions, waiting for on-site service personnel can extend troubleshooting time and increase downtime losses and maintenance costs.

IIoT Solutions

• Use secure remote connectivity, with customer authorization, to access equipment status and diagnostic information.

• Provide remote assistance in analyzing equipment alarms, parameter settings, and control system issues.

• Combine equipment operating records with fault information to help identify potential causes and accelerate troubleshooting.

Production Challenges

Without effective energy monitoring, manufacturers may have limited visibility into the energy consumption of individual machines, processes, or products. This makes it more difficult to evaluate energy-saving initiatives and prepare relevant carbon emissions data.

IIoT Solutions

• Collect equipment electricity consumption data and analyze energy usage across different operating conditions and production cycles.

• Use equipment, product, and production volume data to establish a basis for analyzing energy consumption per unit of output.

• Apply appropriate emissions factors and calculation boundaries to estimate associated carbon emissions and generate management reports.