Data Center Inspection Robot

Test Parameters + Image Captions + Data Specifications

Combined with computer-room operation and maintenance scenarios, this document includes detailed parameters, reference data standards, image solutions and scenario copywriting, which can be directly used for brochures, PPTs, display boards and product introductions.

This inspection robot integrates four major modules: environmental perception, thermal imaging temperature measurement, AI vision and security monitoring. It collects more than ten core parameters including temperature, humidity, equipment temperature, dust, smoke and noise in real time. Strictly complying with data-center environmental specifications, it guarantees stable operation of IT equipment.

Data Center Inspection Robot
Core Test Parameters & Normal Standard Values

In accordance with GB 50174-2017 Code for Design of Data Centers, the key monitoring items, normal ranges, alarm thresholds and monitoring functions are sorted out as below:

 

Monitoring Parameter

Standard Normal Range

Alarm Threshold

Monitoring Purpose

Ambient Temperature

18 ℃ ~ 27 ℃

Warning: > 28 ℃  /  Alarm: > 32 ℃

Prevent server & switch overheating and downtime, extend service life of equipment

Ambient Humidity

40 %RH ~ 60 %RH

Alarm: < 30 %RH / > 70 %RH

Avoid static electricity caused by low humidity and circuit-board condensation & short circuit caused by high humidity

Cabinet Surface Temperature

< 35 ℃

Alarm: > 38 ℃

Detect local hot spots, blocked air ducts and equipment overload

Air Inlet Temperature Difference

≤ 5 ℃

Warning: > 7 ℃

Evaluate cooling efficiency of air conditioners and rationality of hot & cold aisle layout

Air Dust Concentration

≤ 3.5 mg/m³

Warning: > 0.5 mg/m³

Prevent dust accumulation on mainboards and fans which may lead to equipment failure

Smoke Density

0 (No smoke)

Immediate alarm once smoke is detected

Early warning of computer-room fire for timely disposal

Noise Level

≤ 65 dB

Warning: > 70 dB

Identify abnormal noise of fans and motors, and judge equipment faults

Access Control & Regional Status

Normal closed state

Real-time alarm for unauthorized door opening

Computer-room security management and personnel access control

Equipment Indicator Status

Green (normal operation)

Red / yellow light (fault warning)

Visually check the running status of servers, UPS and switches

Local Thermal Imaging Temperature

Consistent with ambient temperature

Hot-spot alarm when single-point difference > 8 ℃

Accurately locate hidden high-temperature points and overheated cables

Supplementary Key Operation & Maintenance Data
Inspection Efficiency

A single robot completes full-coverage inspection of a 300 ㎡ computer room within 15–20 minutes, while manual inspection of the same area takes more than 2 hours.

Data Collection Frequency

All parameters are collected once every 2 seconds and uploaded in real time, supporting 7×24-hour uninterrupted monitoring.

Data Storage

Dual backup of local and cloud storage. Historical monitoring data is retained for no less than 1 year and supports traceability analysis.

Alarm Response

Acoustic & optical alarms and background messages are pushed within 3 seconds after abnormal data is triggered.

Image Categories & Descriptions
Thermal imaging temperature measurement view
AI-vision equipment status recognition in a server room
Thermal imaging temperature measurement view
AI-vision equipment status recognition in a server room
Core Functions

Full-range perception

All-in-one monitoring of temperature, humidity, thermal imaging, smoke, dust and noise

Standardized operation

Comply with computer-room environment standards: 18–27 ℃ and 40–60 %RH.

Intelligent early warning

Real-time report of abnormal data to ensure stable operation of computer-room equipment.

Unattended operation

Automatic all-weather inspection with fully trackable data.

Operational Advantages

Collection speed

Full parameters sampled every 2 seconds with zero data delay.

 

Inspection capability

Full coverage of all monitoring points without blind spots.

 

Alarm mechanism

Multi-level threshold early warning with second-level response to anomalies.

 

Data management

Cloud storage, supporting historical data query and report export.

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