• Server Room Monitoring

    24/7 Real-Time Supervision of Environmental Conditions for Critical Facilities

CISCA-WSN is an research project organized and promoted by



Join the research community for testing and developing it

Installation at CISCA Server Room

University of Trento, Povo, Trento, Italy

Room "Polo Collina"

Critical Application

The room is continously monitored to prevent the overheating of electronic appliances, for example due to the air-conditioning system failure.

Environment

The server room represents an interesting testbed for distributed monitoring of environmental parameters, in particular due to the large range of spatial-variability.

rack heating flow example

Parameters

Environmental parameters are acquired at high rate (each few seconds), the charts will be updated automatically.

Temperature

Temperature of the air, measured in Celsius degree, 2 decimals precision.

Humidity

Humidity of the air, percentage with 2 decimals precision.

Total Solar Radiation (TSR)

Brightness level is acquired and converted in lux by each node.

Photosynthetic Light (PAR)

Brightness level is acquired and converted in lux by each node.

Blueprint

Locations of installed nodes:

Testing

Sample daily data

(Server room relocated to new Data Center)
Loading data..

loading chart engine and data..

15 minutes average

Parameters

Environmental parameters are acquired at high rate (each few seconds), the charts will be updated automatically.

Temperature

Temperature of the air, measured in Celsius degree, 2 decimals precision.

Humidity

Humidity of the air, percentage with 2 decimals precision.

Total Solar Radiation (TSR)

Brightness level is acquired and converted in lux by each node.

Photosynthetic Light (PAR)

Brightness level is acquired and converted in lux by each node.

Blueprint

Locations of installed nodes:

Testing

Historical data (from 2008 to 2015)

loading chart engine..

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Nodes selector

Select all
Select none

Period selector (optional)

to apply

If the period is longer than two months, data will be aggregated on daily basis.

Database stats

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