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An interoperable and service-oriented approach for real-time environmental simulation by coupling OGC WPS and SensorThings API.

Authors :
Zhang, Mingda
Yue, Peng
Hu, Lei
Wu, Huayi
Zhang, Fan
Source :
Environmental Modelling & Software. Jul2023, Vol. 165, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Real-time simulation is crucial in time-critical situations within the environmental modeling domain. The advancement of web technologies has facilitated the sharing and integration of various resources over the Internet. Web-based real-time modeling has gained increasing attention. However, interoperability remains a challenge when integrating environmental models and real-time observations in a web environment. This paper proposes an interoperable and service-oriented approach for real-time modeling by coupling the Open Geospatial Consortium (OGC) Web Processing Service (WPS) and SensorThings Application Programming Interface (API). The SensorThings API provides a unified way to interconnect environmental sensors, data, and applications. The OGC WPS defines standard operations for accessing online processes. We extended OGC WPS to support the Message Queuing Telemetry Transport (MQTT) protocol and integrated it with SensorThings API. This integration enables real-time access to sensor observations and time-series simulation results. A prototype system using the Storm Water Management Model (SWMM) demonstrates the applicability and effectiveness of our approach. • We proposed an interoperable and web-based approach for integrating IoT real-time observations into environmental models. • OGC WPS and SensorThings API work collaboratively for environmental modeling using the MQTT protocol. • Key issues, including network protocol, data exchange, and execution workflow, are considered to improve interoperability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13648152
Volume :
165
Database :
Academic Search Index
Journal :
Environmental Modelling & Software
Publication Type :
Academic Journal
Accession number :
163891842
Full Text :
https://doi.org/10.1016/j.envsoft.2023.105722