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On improving agricultural IoT management process for fault detection

机译:关于改进农业物联网故障检测管理流程

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摘要

In recent years, the emerging development of Internet of things (IoT) has created new opportunities for IoT service provider, device manufacturer and customer (end user). In agriculture, employing IoT can help reducing manpower as well as standardizing agricultural processes, thus increasing the benefit for customer who does agricultural business. Beside the opportunities, there are also issues while doing maintenance for an agricultural IoT system. One of them is how to automate the process to detect faults of IoT devices in a large deployment area. While previous studies focus on investigating algorithms as well as theoretical model to detect faults for specific IoT devices, automatically expanding of IoT management process for detecting faults of sensor/actuator has not been investigated yet. To achieve this, we should be able to deal with the relationship between IoT device manufacturer, service provider and customer. In this study, we conceptualize the knowledge of IoT devices, management process and fault detection requirement. To realize this model, we introduce a runtime system to expand the IoT management process for detecting sensor/actuator faults which is able to provide the above features. We do several experiments to show the effectiveness and usefulness of the proposed solution.
机译:近年来,物联网(IoT)的新兴发展为物联网服务提供商,设备制造商和客户(最终用户)创造了新的机遇。在农业中,采用物联网可以帮助减少人力并标准化农业流程,从而为从事农业业务的客户增加收益。除了机会之外,在为农业物联网系统进行维护时还存在一些问题。其中之一是如何在大型部署区域中自动化过程以检测IoT设备的故障。虽然先前的研究侧重于研究用于检测特定IoT设备故障的算法和理论模型,但尚未研究用于检测传感器/执行器故障的IoT管理流程的自动扩展。为此,我们应该能够处理物联网设备制造商,服务提供商和客户之间的关系。在这项研究中,我们将物联网设备,管理过程和故障检测要求的知识概念化。为了实现此模型,我们引入了运行时系统以扩展IoT管理过程以检测传感器/执行器故障,从而能够提供上述功能。我们进行了几次实验,以证明所提出解决方案的有效性和实用性。

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