THE PERMANENT WATER PIPE MONITORING SYSTEM
LORNO is a smart leak detection system which automatically sends events from the drinking water network to the server through radio data transmission (7x24 push system). The user is informed via either E-mail or SMS.
How does the leak detection work? What role does the raw material play?
THE HYDROPHON – DIRECTLY FROM THE TAIL-WATER TECHNOLOGY
The hydrophone, also known as the underwater microphone, receives the water sound waves, transforms them into measuring signals and transmits them to the electronic unit.
LORNO uses this technology to detect leaks through acoustic changes.
LORNO registers acoustic reference measurements and reports variations from the reference measurement through E-Mail or SMS (7x24 push system).
Integration Possibilities
- Above ground hydrants
- Underground hydrant
- Directly into the main pipe (LORNO-T)
Measurements
After an initial reference measurement, individual reference values (frequency and amplitude) are stored in the measuring modules.
The hydrophone proceeds to track the noise measurements automatically at intervals and compares the measurements with the reference measurement.
THE PIPE MATERIAL
For LORNO, it is not significant if the pipe is made of. cast iron, polyethylene or another material!
PE pipes act like filters and can be a great challenge in case of leak detection.
Leak detection systems that transmit noises through impact sound (e.g. Logger based systems) cannot be used for PE pipes.
Thanks to the hydrophone being directly inserted in the pipe for the LORNO leak detection, the acoustic sound can also be transmitted into the PE pipes through water.
Therefore, LORNO is the only leak detection system that can be inserted in all types of pipe systems whether the pipe networks are made out of cast iron, PE or mixed pipe materials!
Reach of the LORNO system
A perimeter of 300-600m is monitored depending on the material of the pipe, the DN and the topology.
OTHER THINGS THAT MIGHT INTEREST YOU
You’ll find further information about LORNO here: