本文選題：物聯(lián)網(wǎng)場景　切入點：系統(tǒng)模擬仿真　出處：《西北農(nóng)林科技大學(xué)》2014年碩士論文

【摘要】：物聯(lián)網(wǎng)場景的模擬是物聯(lián)網(wǎng)在系統(tǒng)模擬仿真領(lǐng)域中的典型應(yīng)用，，對智能交通、環(huán)境監(jiān)測、健康護理、供應(yīng)鏈物流等等的領(lǐng)域研究均有著重要的意義�，F(xiàn)有的研究集中于單一場景的模擬研究，缺乏通用的模擬系統(tǒng)對于所有場景提供一個模擬仿真的平臺；而通過物聯(lián)網(wǎng)設(shè)備收集海量真實數(shù)據(jù)，需要耗費成本較高。針對上述研究現(xiàn)狀中存在的問題，本文通過從不同的場景中抽象出統(tǒng)一的模型，并將該通用模型模擬仿真，設(shè)計并實現(xiàn)了物聯(lián)網(wǎng)場景通用模擬平臺，從而收集到貼近現(xiàn)實的海量仿真數(shù)據(jù)，為仿真數(shù)據(jù)的數(shù)據(jù)挖掘和相關(guān)領(lǐng)域研究提供了數(shù)據(jù)支持和理論依據(jù)。 本文的主要研究內(nèi)容如下： （1）針對物聯(lián)網(wǎng)場景涉及的領(lǐng)域廣、范圍大的現(xiàn)狀，在面向?qū)ο笏枷氲幕A(chǔ)上對物聯(lián)網(wǎng)場景進行了抽象，借鑒了“三個世界”的分析思想，對物聯(lián)網(wǎng)場景抽象模型進行了劃分。同時通過對各個部分的實體進行分類和抽象，得到物聯(lián)網(wǎng)場景的通用實體模型，并運用典型的物聯(lián)網(wǎng)場景對得到的通用模型進行了驗證。 （2）針對系統(tǒng)的特征，歸納了系統(tǒng)通用實體的數(shù)學(xué)模型。數(shù)學(xué)模型主要分為兩大類：感知實體和物理實體。感知實體的數(shù)學(xué)模型較為固定，而物理實體的數(shù)學(xué)模型根據(jù)具體的場景有不同的要求。通過實體的數(shù)學(xué)建模，更加明確了系統(tǒng)的功能以及對場景的深入了解。 （3）研究了離散事件系統(tǒng)中的事件調(diào)度法的思想�；谑录{(diào)度法的仿真算法把系統(tǒng)的數(shù)學(xué)模型轉(zhuǎn)換為能在計算機上運行的仿真模型，實現(xiàn)了模型轉(zhuǎn)換的理論基礎(chǔ)。 （4）設(shè)計并實現(xiàn)了基于PC平臺的物聯(lián)網(wǎng)場景模擬系統(tǒng)。利用該系統(tǒng)可以進行場景的設(shè)計配置，通過場景的配置或者重載進行場景的模擬仿真，仿真收集的數(shù)據(jù)可以通過界面顯示。運用典型的物聯(lián)網(wǎng)場景反復(fù)測試的實驗結(jié)果表明：系統(tǒng)收集到的仿真數(shù)據(jù)的最大誤差為2.10%，但是在仿真數(shù)據(jù)量大的情況下該誤差可以忽略，同時經(jīng)過計算對比系統(tǒng)收集到的仿真數(shù)據(jù)比較貼近現(xiàn)實場景的數(shù)據(jù)規(guī)律，具有一定的有效性和適用性。
[Abstract]:The simulation of the Internet of things scene is a typical application of the Internet of things in the field of system simulation, which is of great significance to the research of intelligent transportation, environmental monitoring, health care, supply chain logistics and so on.The existing research focuses on the simulation of a single scene, the lack of a general simulation system for all scenarios to provide a platform for simulation, and through the Internet of things devices to collect massive real data, it will cost a high cost.In view of the problems existing in the above research situation, this paper abstracts the unified model from different scenes and simulates the universal model, and designs and implements the universal simulation platform of the Internet of things scene.Thus, massive simulation data close to reality are collected, which provides data support and theoretical basis for data mining of simulation data and research in related fields.The main contents of this paper are as follows:1) aiming at the wide field and wide range of the scene of the Internet of things, this paper abstracts the scene of the Internet of things on the basis of the object oriented thought, draws lessons from the analysis of "three worlds", and divides the abstract model of the scene of the Internet of things.At the same time, by classifying and abstracting the entities of each part, the general entity model of the Internet of things scene is obtained, and the common model is verified by the typical Internet of things scene.2) according to the characteristics of the system, the mathematical model of the general entity of the system is summarized.Mathematical models are divided into two main categories: perceptual entities and physical entities.The mathematical model of perceptual entity is fixed, but the mathematical model of physical entity has different requirements according to the specific scene.Through the mathematical modeling of the entity, the function of the system and the in-depth understanding of the scene are more clearly defined.The idea of event scheduling in discrete event systems is studied.The simulation algorithm based on the event scheduling method converts the mathematical model of the system into a simulation model that can run on the computer and realizes the theoretical basis of the model transformation.4) the scene simulation system of Internet of things based on PC platform is designed and implemented.The system can be used to design and configure the scene and simulate the scene by the configuration of the scene or the overload. The data collected by the simulation can be displayed through the interface.The experimental results show that the maximum error of the simulation data collected by the system is 2.10, but the error can be neglected in the case of large amount of simulation data.At the same time, the simulation data collected by the system is close to the data rule of the real scene, so it has certain validity and applicability.
【學(xué)位授予單位】：西北農(nóng)林科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP391.44;TN929.5

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