面向水产品追溯的运输环境数据采集及压缩方法研究

发布时间：2018-04-22 12:20

本文选题：水产品追溯 + 数据采集　；参考：《上海海洋大学》2017年硕士论文

【摘要】：随着社会的不断发展,人们的经济条件和生活水平不断提高,越来越多的食品安全问题被曝光使得人们对其关注度不断提高,然而这些食品安全事故严重威胁着人们的身体健康和精神健康。作为人们食物最重要的部分之一,水产品的安全已成为热门话题。由于水产品的质量问题可能发生在从养殖到消费者的任何环节,因此需要使用政策制约和过程监控来保证水产品安全和质量。无线传感器网络(Wireless Sensor Network,WSN)通过融合无线通信和信息处理技术可以对网络覆盖中的各种环境监测对象进行远程实时监测,对信息的收集以及之后的分析处理具有重要的科学意义和广阔的应用前景。利用无线传感器网络,能够更为方便地监测和管理水产品运输的环境。监测水产品从养殖到消费者手中这一系列漫长的过程,需要一套完整的、具备现代化水平的监测系统。本文以无线传感器网络技术为基础,针对水产品追溯过程中环境数据实时监测的需求、以及监测系统的功能需求,建立了能够实时、连续、自动监测水产品运输环境参数的监测系统。在WSN中传输的数据可能存在相关和冗余。对于如何将网络中传输的数据进行压缩,减少传输能量消耗的问题,始终有着大批学者研究。本文根据数据之间的互相关关系,提出了一种基于互相关序列的可追溯感知数据压缩算法。在网络中的两类节点(簇内和簇首)执行各自的压缩:簇内节点对多个属性数据依据其重要性进行压缩;簇首节点将簇内节点传来的数据进行解压后,对解压数据进行二次压缩,从而在最大程度上减少通信能耗。簇首节点的压缩算法会在某些情况下可能会导致压缩过后数据失真度过大,本文针对该缺陷提出了一种改进的簇首节点数据压缩方法,虽然在能耗节约上没有改进前方法优越,但保证了数据的真实性,便于对环境中出现的问题做出及时的反应。本文提出一种基于无线传感器网络与移动终端相结合的监测系统,该系统能够对水产品溯源过程中的运输环境进行多参数实时监测。它能有效解决其他运输环境监测系统中监测参数少、节点分布不科学的问题。文章首先根据系统所要实现的功能对整体框架进行了搭建;然后针对系统中的软硬件问题提出了解决方案,其中涉及各种通信机制融合和多种传感器集成。通过实验验证了本系统监测参数多、节点分布科学、精度高而且节能的特点,在水产品运输过程的监测中具有更好的实际应用价值。论文的研究成果为水产品追溯过程中的运输环境数据采集提供了理论和实际应用依据,解决了运输环境监测过程的中的许多问题,能够较好地应用在水产品物流运输过程中,产业化前景非常广阔,具有潜在的经济效益。
[Abstract]:With the continuous development of society, people's economic conditions and living standards are constantly improving, and more and more food safety problems have been exposed to make people pay more attention to them. However, these food safety accidents are a serious threat to people's physical and mental health. As one of the most important parts of people's food, the safety of aquatic products has become a hot topic. Since the quality problems of aquatic products may occur in any link from aquaculture to consumers, it is necessary to use policy constraints and process monitoring to ensure the safety and quality of aquatic products. Wireless Sensor Network (WSNs) can remotely and realtime monitor all kinds of environmental monitoring objects in network coverage by combining wireless communication and information processing technology. It is of great scientific significance and broad application prospect to collect information and analyze and deal with it later. With wireless sensor network, the environment of aquatic product transportation can be monitored and managed more conveniently. The long process of monitoring aquatic products from aquaculture to consumers requires a complete and modernized monitoring system. Based on wireless sensor network (WSN) technology, aiming at the requirement of real-time monitoring of environmental data in aquatic product tracing process and the functional requirement of monitoring system, this paper establishes a real-time, continuous, real-time monitoring system. Automatic monitoring system for environmental parameters of aquatic products transportation. Data transmitted in WSN may be correlated and redundant. How to compress the data transmitted in the network and reduce the transmission energy consumption has always been studied by a large number of scholars. Based on the cross-correlation relationship between data, a traceability perceptual data compression algorithm based on cross-correlation sequence is proposed in this paper. In the network, two kinds of nodes (cluster head and cluster head) perform their own compression: the cluster nodes compress multiple attribute data according to their importance, and the cluster node points decompress the data from the cluster nodes. The decompression data is compressed twice to minimize the communication energy consumption. In some cases, the compression algorithm of cluster head node may cause the data distortion after compression to be too large. In this paper, an improved data compression method for cluster head node is proposed, although it is not superior to the former method in energy saving. But it ensures the authenticity of the data and facilitates the timely response to the problems in the environment. A monitoring system based on the combination of wireless sensor network and mobile terminal is proposed in this paper. The system can monitor the transportation environment in the process of aquatic product traceability in real time. It can effectively solve the problems of less monitoring parameters and unscientific node distribution in other transport environment monitoring systems. Firstly, the whole framework is built according to the function of the system, and then the solution to the software and hardware problems in the system is put forward, which involves the fusion of various communication mechanisms and the integration of various sensors. It is proved by experiments that the system has many monitoring parameters, scientific node distribution, high precision and energy saving, and has better practical application value in the monitoring of aquatic product transportation process. The research results of this paper provide theoretical and practical basis for data collection of transportation environment in the process of aquatic products tracing, solve many problems in the process of transportation environment monitoring, and can be used in the process of aquatic products logistics transportation. Industrialization prospects are very broad, with potential economic benefits.
【学位授予单位】：上海海洋大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5;TP274

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