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Структура системы обработки потоковых данных в геосенсорных сетях

А.А. Майоров, А.В. Матерухин, И.Н. Кондауров

Страницы: 712–719

Аннотация. Приведен обзор технологий, используемых в настоящее время для управления сенсорной сетью и получения измерительной информации на основе стандартов консорциума OGC. Выполнен сравнительный анализ различных схем построения систем обработки пространственно-временных данных от сенсорных сетей. Выделены функциональные задачи отдельных блоков для трехуровневой модели системы.

Ключевые слова: геосенсорная сеть, обработка пространственных данных, потоковые данные, пространственные данные, стандарты OGC, geosensor network, geospatial data processing, geospatial data streaming data, OGC standards

The structure of the stream processing system within sensor networks

A.A. Mayorov, A.V. Materukhin, I.N. Kondaurov

Pages: 712–719

Summary. To develop the modern data acquisition systems based on sensor networks it is necessary meet the requirements of identification of sensors, remote access to control of their parameters, simplicity of the system horizontal scaling, the ability to process large stream data. These problems might be solved if an approach based on a multi-layer model of the data acquisition system is applied. The approach makes it possible to use architectural solutions and a set of services included in the Sensor Web Enablement (SWE) standard. The SWE standard was developed by the Open Geospatial Consortium (OGC) and offers a set of services corresponding to the middle layer of a data acquisition system for processing geospatial data, as well as a set of services providing interaction between the lower and upper layers of the system. The upper layer of the system, here, refers to software applications, and the lower layer is a geosensor network. The system architecture based on the SWE standard with support for the REST protocol provides scalability of the geosensor network and provides a user interface through a web portal. To improve the efficiency of processing streaming data, special software platforms optimized for querying streaming data are included in the middle layer of the system. For preprocessing of data in the middle layer, the technology of software agents based on open-source platforms is used, while the user has a web-based interface for accessing data in real time. The use of the REST protocol in the architecture of the middle layer of the system imposes a restriction on the dynamics of change in the intensity of streaming data. For receiving streaming data from sensors connected to smartphones of users in the public cellular network, a three-layer architecture based on a cloud-based web server driven by the LAMP stack on Amazon Linux is considered.

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