Abstract

Sustainable development associated with the agri-cultural field of Arequipa, a region in economic growth, is vul-nerable to contamination of water resources, putting production systems and food security at risk. Therefore, it is necessary to implement an automated system to control, management, and monitor this vital resource. The proposed work proposed a system to measure water quality monitoring in reservoirs and lakes with high accurate related to global positioning. It includes an embedded computer, multiparameter sonde, and an additional dual GNSS/INS in hardware architecture. The software architecture is fully open-source with compatibility, modularity, and interoperability features between Python and MySQL, al-lowing data management for real-time data in visual interface on a platform that stores unlimited data logging, monitors and analyzes. The proposed system is validated in an experimental test that measures the water quality of a huge agricultural reservoir, where certified instrumentation is mandatory, as compared to other methods used locally for this action.

Highlights

  • Arequipa is one of the main economic regions in Peru with approximately 1,497,438 inhabitants

  • This paper describes a modular system to be employed in measuring water quality with high accuracy, both in unmanned and manned vehicles

  • The open-source hardware files are available in [22]. To validate it through a real experiment, an unmanned surface vehicle (USV) (Fig. 8), whose most positive aspect is that it is scalable in terms of measurement instrumentation, with an autonomy of 5 hours and payload of 100 kg

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Summary

Introduction

Arequipa (latitude -16.3988, longitude -71.535, and altitude 2335 m.a.s.l.) is one of the main economic regions in Peru with approximately 1,497,438 inhabitants It is one of the fastest growing regions in the country, stands out for mining and agricultural activities, which generate some conflicts in the management of water resources and those related to water quality [1]. This entails many risks and losses in all aspects of sustainable development in the urban-rural area that surrounds the region; either due to the misuse of chemical products related to these industrial activities and others [2]. A multiplatform interface is developed for data visualization in real-time and in offline mode

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