Analyzing the Carro Pipa Operation with Geointelligence Techniques

Aloísio Vieira, L. Neto, Elias Paulino Medeiros, Filipe Maciel de Moura, Jose Wally, Mendonça Menezes, S. Jagatheesaperumal, Victor Hugo, C. Albuquerque
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Abstract

Operation Carro Pipa (OCP) is a federal government action in Brazil with the objective of distributing drinking water to regions severely affected by long periods of drought and low rainfall using trucks. The region served has continental dimensions, covering an area of 688,064 km² and supplying 1703 cities and approximately 5.2 million people. Because it is a large-scale action that involves a lot of public resources, it is essential that all OCP activities are recorded in a safe, complete, and standardized way. This information can be used for potential benefits, audits, and analysis to propose improvements and ensure the provision of this essential service to society. To achieve this, this work analyzes data recorded from the OCP service offered in a Brazilian state and presents computational solutions that can improve the monitoring, registration, storage, and processing of the data generated by this action.
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用地球情报技术分析Carro Pipa行动
Carro Pipa行动(OCP)是巴西联邦政府的一项行动,目的是用卡车向受长期干旱和少雨严重影响的地区分发饮用水。服务的区域有大陆大小,覆盖面积688,064平方公里,为1703个城市和约520万人口提供服务。由于这是一项涉及大量公共资源的大规模行动,因此对所有OCP活动进行安全、完整、规范的记录至关重要。这些信息可用于潜在利益、审计和分析,以提出改进建议,并确保向社会提供这一基本服务。为了实现这一目标,本工作分析了巴西州提供的OCP服务记录的数据,并提出了可以改进该操作产生的数据的监测、登记、存储和处理的计算解决方案。
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