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  4. Reverse Engineering for the Ecowitt WS90 Weather Station
 
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Reverse Engineering for the Ecowitt WS90 Weather Station

Journal
Lecture Notes in Networks and Systems
Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2024)
ISSN
2367-3370
2367-3389
Date Issued
2026
Author(s)
Cumbajín Alferez, Myriam
Facultad de Ingenierías
Type
Resource Types::text::conference output::conference proceedings::conference paper
DOI
10.1007/978-3-031-98768-7_52
URL
https://cris.indoamerica.edu.ec/handle/123456789/9964
Abstract
This article presents a comprehensive reverse engineering study applied to the Ecowitt WS90 weather station, a self-contained device designed to collect essential environmental data such as temperature, humidity, wind direction and speed, light and UV radiation levels, and precipitation. The main objective of this work is to gain a deep understanding of the internal workings of the weather station through meticulous analysis of its hardware and software components. The methods used are described in detail, including careful disassembly of the device, precise identification of key components, and scanning and disassembling the embedded firmware. Additionally, significant challenges encountered during the rigorous reverse engineering process are discussed and possible improvements or modifications to the original design based on the findings are proposed. The results obtained in this study provide an unprecedented insight into the internal workings of the Ecowitt WS90 weather station, contributing to a deeper understanding of environmental monitoring systems in general. The detailed findings presented in this article can be very useful for future developments and advances in the field of environmental monitoring, by facilitating the optimization of existing devices or the design of new innovative solutions. Furthermore, this work lays the foundation for future research and more specialized studies in the area of reverse engineering applied to environmental data acquisition systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Subjects
  • Environmental monitor...

  • Reverse engineering

  • Weather stations

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3
Acquisition Date
May 25, 2026
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