DTSS

Distributed Temperature + Strain Sensing

It is all in the name; Distributed measurement of Temperature combined with the measurement of strain on the same route. A well known method that is often used on the market of energy distribution and the offshore industry.

Distributed Temperature Sensing realizes permanent monitoring of temperature of high-voltage transport and detection of so called ‘hotspots’.

This method helps the operators to optimize their transmission and distribution networks, so that they are able to reduce their operational costs. The ‘sensing fibre’ is integrated in the power-cable close to the conductors, or installed along the outside of the cable. The fibre optic cable is immune to electromagnetic interference and delivers a guaranteed reliable temperature measurement. This is ideal in a ‘high voltage’ environment.

Combining this with Distributed Strain Sensing it will at the same time gives the operator insight to possible deformation, settlement and expansion of the cable length.

The offshore supplies this technique to monitor pipelines. While transporting oil or gas, it can be determined whether there is a leakage or illegal theft based on the temperature and the monitored strain

Most important advantages of our solution:

  • Real-Time information
  • Monitoring of the entire route
  • Remote control for event diagnostics
  • Reduces the TCO (Total Cost of Ownership)
  • Monitoring of cable settlement
  • Monitoring the deformation of the cable based on strain
  • Monitoring the temperature of the cable
  • Monitoring the loss of energy
  • No interference
  • Predictability to the lifetime of the cable
  • Permanent monitoring for troubleshooting
  • Compares multiple measurement profiles
  • Distance up to 50KM
  • Detection density 0,5m to 20m (typical 1m at 20KM, 2m at 30KM, 3m at 50KM)
  • Number of measurement points up to 100.000
  • Optical budget at standard configuration 10dB (20dB at local loop)
  • Online accessibility based on TCP/IP
  • Punctual on micrometre level
  • Integration time 1 sec – 2 minutes
  • Predictability of maintenance