EmbedCloud – Design and Implementation Method of Distributed Embedded Systems

Krzywicki, Kazimierz; Adamski, Marian; Andrzejewski, G.

doi:10.1007/978-3-319-16766-4_17

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…The traditional methods mainly include: collection card and microcomputer cooperation and 8-bit single chip machine two [1] . Both methods have certain defects, such as poor real-time performance, high cost, and high energy consumption.…”

Section: Detailed System Software Designmentioning

confidence: 99%

Design and realization of meteorological data collection and classification system based on Stm32

Xue

2022

2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022)

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Since the meteorological industry is developing well, the development of meteorological collection technology is more and more rapid. Nowadays, the manual collection technology has gradually fall and gradually replaced by automatic collection. Data collection and transmission are the main steps of meteorological collection. The system consists of software system and hardware system. The hardware circuit includes STM32 single chip, 4G chip, DHT11 temperature and humidity sensor, PM2.5 sensor, photosensitive sensor and sulfide sensor. The software design includes server design and database design. The system first collects data from the hardware circuit, and then uploads it to the server after corresponding processing. After receiving the information, the receiving end can display it through the server terminal.

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Section: Detailed System Software Designmentioning

confidence: 99%

Design and realization of meteorological data collection and classification system based on Stm32

Xue

2022

2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022)

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“… implements the EmbedCloud structure [9],  parses the frames of the CloudBus protocol, collected from the Receiver Buffer,  sends the CloudBus queries and answers with a state of variables/input//outputs (Transmitter Buffer),…”

Section: B End Module Architecturementioning

confidence: 99%

“…Moreover, it provides a process synchronization and control mechanism for a number of processing units distributed in a network. The CloudBus protocol is used by EmbedCloud method [9], which forms the basis for the automatic code generation algorithm of the DESs. These research are aimed to accelerate the implementation and verification of the DESs.…”

Section: Introductionmentioning

confidence: 99%

SoC Research and Development Platform for Distributed Embedded Systems

Krzywicki

Barkalov

Andrzejewski

et al. 2016

ELECTROTECHNICAL REVIEW

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This paper presents a novel research and development hardware platform for distributed embedded systems. The platform is based on Xilinx Zynq-7000 SoC devices and it enables a fast physical verification and behaviour analysis of the distributed systems. Furthermore, it eliminates the necessity for usage of a large number of physical devices, which results in the simpler structure and implementation, improved ergonomics in laboratory, lower costs and eliminates external, physical connection between modules. The article presents the architecture of the platform and concurrent process implementation using the EmbedCloud structure. Synthesis and optimization results for different number of end modules and an analysis of resource usage were provided. Streszczenie. W artykule zaprezentowano nową koncepcję sprzętowej platformy rozwojowo-badawczej dla rozproszonych systemów wbudowanych. Platforma oparta o układy Xilinx Zynq-7000 SoC, pozwala na szybką fizyczną weryfikację oraz analizę behawioralną systemów rozproszonych. Ponadto, eliminuje konieczność użycia dużej liczby fizycznych układów, co przekłada się na prostszą strukturę i implementację, poprawę ergonomii w laboratorium, niższe koszty oraz eliminuje zewnętrzne, fizyczne połączenia pomiędzy modułami. W artykule przedstawiono architekturę platformy oraz proces współbieżny zaimplementowany przy użyciu metody strukturalnej-EmbedCloud. Syntezy, optymalizacji i analizy użycia zasobów sprzętowych dokonano dla różnej liczby modułów końcowych. (Modularna platforma rozwojowo-badawcza dla rozproszonych systemów wbudowanych).

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