SURVEYING

GNSS increases construction productivity

Surveying is the discipline of accurately determining the position of points and the distances and angles between them. GNSS supports construction operations by assisting the operator in both person-based operations and machinery guidance, offering the following benefits:

  • Time savings such as faster performance of surveying tasks and reducing the number of passes required by graders and excavators.
  • Input and capital savings thanks to the reduction of machine wear and tear that results from fewer errors, the maximisation of machine utilisation, and savings in fuel costs.
  • Improved quality due to repeatable and consistent data recording and improved data exchange between design and construction.
The evolution of user needs will drive market growth

In Land and Marine Surveying, GNSS-based instruments satisfy many requirements of a wide range of professional users: constructors, surveyors, engineers, scientists, etc.

  • Accuracy: depending on the application and the region, accuracy requirements range from cm level (e.g. control survey for construction) to metre level (mapping).
  • Availability: multi-constellation is required for improving availability in mining activities, as well as in cadastral and construction undertakings in urban canyons.
  • The Time To First Fix (TTFF) and Time-to-Convergence (TTC): high productivity requirements demand fast TTFF and TTC.
  • Price: while end-users in developed markets rely on expensive but highly sophisticated equipment with centimetre accuracy, users in large emerging markets tend to favour cost efficiency over accuracy

This evolution of user needs has enabled Asian players to enter emerging industry, where they are generating economies of scale and cumulating expertise. In the future, competition between established North-American/European companies and Asian manufacturers will increase, not only in emerging markets but also mature ones, possibly reshaping the surveying industry.

 

GNSS.asia is funded by the European Union within Horizon 2020, the EU Framework Programme for Research and Innovation, under grant agreement no 641615.