MeLa: A Programming Language for a New Multidisciplinary Oceanographic Float

Sensors

Sébastien Mosser¹  Dorian Cazau²  Mireille Blay-Fornarino³  Sébastien Bonnieux⁴  Guust Nolet⁴  Yann Hello⁴ 

[1] Département d’Informatique, Université du Québec à Montréal, Montréal, QC H3C3P8, Canada;Lab-STICC, UMR 6285, CNRS, ENSTA Bretagne, 29238 Brest, France;Université Côte d’Azur, CNRS, I3S, 06900 Valbonne, France;Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, IRD, Géoazur, 06560 Valbonne, France;

关键词: acoustic monitoring;    oceanography;    Model Driven Engineering;    Model Based Programming;    Domain Specific Language;    embedded system;   

DOI  :  10.3390/s20216081

来源: DOAJ

【 摘 要 】

At 2000 m depth in the oceans, one can hear biological, seismological, meteorological, and anthropogenic activity. Acoustic monitoring of the oceans at a global scale and over long periods of time could bring important information for various sciences. The Argo project monitors the physical properties of the oceans with autonomous floats, some of which are also equipped with a hydrophone. These have a limited transmission bandwidth requiring acoustic data to be processed on board. However, developing signal processing algorithms for these instruments requires one to be an expert in embedded software. To reduce the need of such expertise, we have developed a programming language, called MeLa. The language hides several aspects of embedded software with specialized programming concepts. It uses models to compute energy consumption, processor usage, and data transmission costs early during the development of applications; this helps to choose a strategy of data processing that has a minimum impact on performances. Simulations on a computer allow for verifying the performance of the algorithms before their deployment on the instrument. We have implemented a seismic P wave detection and a blue whales D call detection algorithm with the MeLa language to show its capabilities. These are the first efforts toward multidisciplinary monitoring of the oceans, which can extend beyond acoustic applications.

【 授权许可】

Unknown