POSCO’s IoT Room Air Management System

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POSCO’s IoT Room Air Management System

Purpose

To reduce power consumption through optimized temperature control
for air conditioners using real-time air conditioner status data,
and establish an optimized integrated air conditioner control system
through the prediction and detection of abnormal conditions in the facilities.

To reduce power consumption through optimized temperature control for air conditioners using real-time air conditioner status data, and establish an optimized integrated air conditioner control system through the prediction and detection of abnormal conditions in the facilities.

Reason for introducing the system

• Power consumption by steelmakers and the power unit price has been increasing every year.
• All air conditioners in the electricity room are operated to ensure a temperature below the optimum temperature (26℃), resulting in waste of power.
• Application of an IoT system enables not only the activation of the required air conditioners for optimum temperature control to reduce power consumption, but also the establishment of an integrated air conditioner control system that can detect the condition and status of air conditioning facilities.

The system’s goals

Reduce maintenance costs and labor costs

Cost reduction

· Target labor cost reduction – TBD

· Reduction of individual measuring device purchase cost

· Reduction of labor costs

Reduce power costs

Power saving
Targets a 20% of annual power consumption reduction per air conditioner

Targets a 20% reduction in annual power consumption (approximately KRW ) for 1,300 target air conditioners, which would be worth about KRW

· Power savings through control of operation efficiency time based on the remote temperature control of air conditioners

· Increased efficiency through the central control of air conditioners

· Power savings through the control of actual temperature and heat source temperature in the target site

· Power consumption optimization through grouped control of air conditioners

· Power savings through timely management (filter replacement, refrigerant status and operation checks)

Extend equipment life

Maintain the equipment in an optimal condition

· Maintain an optimized maintenance condition through sensor data-based equipment condition analysis and identification of abnormal conditions

· Analyze the equipment management history and sensor data for each air conditioner, and enhance the equipment data based on this analysis

Enhance operational efficiency

Real-time monitoring

· Real-time data analysis and 24/7 malfunction monitoring available

· Enhanced operational efficiency and reduction of maintenance costs through advance maintenance

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Big data collected from the IoT air conditioner energy control system enable the efficient use of the ‘smart maintenance system,’ while making it possible to derive manager’s insights on the maintenance/management/operational status.

Smart maintenance system

Operation Monitoring System

Job History Management System(Big Data)

Manpower Management System(Big Data))

Alert Flow