Solutions

Integrated management system for industrial refrigeration

AI Diagnosis

We analyze recorded temperature changes and cooling patterns with physics models and AI, then report the likelihood of each possible cause and recommended actions.

We analyze temperature data with physics models and AI to report causes and recommended actions.

Sensor data holds
the answers you need.

We combine data with physics models

Sensor data

Temp. changes
Cooling time
Out of range

Physics model

AI diagnosis report

Issue summary & likely causes
Recommended actions
Preventive actions

How is this different from the usual approach?

Conventional approach

Warning signsBreakdown

Hard to spot warning signs before a breakdownUser notices the problem

Call a technician

On-site inspection

Source the parts needed

Repair

Cheongium AI diagnosis

Warning signsBreakdown

Condition checkFault diagnosis

Management solution offeredDiagnosis report generated

Repair

Energy & cost savings + equipment management

Conventional approach

FailureWarning

User notices the issueWarning signs hard to spot

Call a technician

On-site inspection

Source parts

Repair

Cheongium AI diagnosis

FailureWarning

Fault diagnosisCondition check

Report generatedSolution offered

Repair

Energy & cost savings + equipment mgmt.

Comparison	Conventional approach	Cheongium AI diagnosis
Detection	The user notices the problem	Warning signs found in sensor data
Diagnosis	On-site diagnosis after calling a technician	Diagnosis report after condition analysis
Action	Repair after sourcing parts	Management solution and guided next steps
Approach	React after a breakdown	Act early based on condition changes

Find causes faster and cut diagnosis time and cost.

AI diagnosis uses the diagnosis tokens included in your plan. Results are for reference, and a final decision may still require an on-site inspection.