本文選題：移動物聯(lián)網　切入點：數據包絡分析　出處：《河北師范大學》2017年碩士論文

【摘要】：隨著信息和通信技術的不斷提高,移動終端的普及和層出不窮的新技術,移動物聯(lián)網的應用面日益廣泛,不斷向人們生活的方方面面滲透,改善生活及體驗服務。以“智慧化”概念引導著經濟和科技的競相發(fā)展,展會“智慧化”的進程加快和水平的提高,使得展會業(yè)在社會經濟發(fā)展和社會生活方面貢獻越來越大。展會“智慧化”促進我國會展行業(yè)的快速信息化,簡化展會工作流程提升展會效率。展會業(yè)應用移動物聯(lián)網,使得展會業(yè)具有了“大數據”的基礎服務設施。針對移動物聯(lián)網構建的復雜性,高耦合性,終端設備的多樣性,使得獲取數據的來源和數據類型多種多樣化。為了在運營過程中去發(fā)現(xiàn)可能存在的規(guī)律現(xiàn)象或者需要解決的問題。通過采集展會現(xiàn)場數據,結合數據特性,根據所要研究的問題對數據集進行分類。對獨立展位的展商和多個展位的展團采用數據包絡分析,觀察其投入產出效率;根據質心法求解出的客流位置,用DBSCAN方法對客流位置點在以展館平面圖上進行空間聚類,為了給出高密度客流集在地圖上的區(qū)域范圍,通過凸包生成算法構建人流高密集區(qū)域凸多邊形。根據凸多邊形區(qū)域,應用地理圍欄技術,設定地理圍欄,并以地圖展示給公眾。采用中心點最近距離法計算其周邊疏散通道的優(yōu)先權,確定人流疏散方案。按以上方法對基于移動物聯(lián)網下的現(xiàn)場多源數據進行分析,得到以下結果(1)采用包絡分析法對展位和展團進行分析,發(fā)現(xiàn)多數樣本并未達到有效的DEA單元,主要是由規(guī)模效率和技術效率不足引起的,參展商需要根據自身的參展需求重新選擇展位位置,展位數量和展位面積,以達到技術效率和規(guī)模效率上的資源合理配置,實現(xiàn)效率最大化。(2)經過質心算法求解出客流中每個人的位置集,采用客流密度4人/m2得到高密度客流集簇,并按凸包算法提取出邊界,應用地理圍欄對觀眾進行信息告知或在地圖上顯示出人流密集區(qū)域。通過對基于移動物聯(lián)網下的現(xiàn)場多源數據進行分析,包絡分析的結果可以對目前參展商的投入方案更改和完善,達到高效率。在應用公共空間內客流上限值和人際距離作為參數,用DBSCAN方法確定高密集點簇即為高密度客流集,是引發(fā)客流踩踏擁擠時間的標志集,為客流疏散提供可支持的方案。對凸多邊形區(qū)域結合熱度圖為客流密集區(qū)域的識別和定位提供了定量和定性的方法,并且實現(xiàn)了其高密度客流區(qū)域量化,可以為展會的參與者管理者提供安全及風險信息。
[Abstract]:With the continuous improvement of information and communication technology, the popularity of mobile terminals and the emergence of new technologies, the mobile Internet of things is increasingly widely used, and continues to permeate all aspects of people's lives. To improve life and experience services. With the concept of "wisdom" to guide the development of economy and science and technology, the exhibition "smart" process to accelerate and improve the level, It makes the exhibition industry contribute more and more to the social and economic development and social life. The "wisdom" of the exhibition promotes the rapid informatization of the exhibition industry in China, simplifies the work process of the exhibition, and promotes the efficiency of the exhibition. The exhibition industry applies the mobile Internet of things. The exhibition industry has the basic service facilities of "big data". Aiming at the complexity, high coupling and diversity of terminal equipment of mobile Internet of things, To diversify the sources and types of data to be obtained. In order to discover possible regular phenomena or problems to be solved in the course of operation, by collecting the on-site data of the exhibition, combining the characteristics of the data, The data sets are classified according to the problems to be studied. The data envelopment analysis is used to observe the input-output efficiency for the exhibitors of independent stands and the groups of several booths, and the location of the passenger flow is calculated according to the centroid method. In order to give the area range of high-density passenger flow set on the map, the convex polygon of high-density passenger flow area is constructed by the convex hull generation algorithm, according to the convex polygon region, according to the convex polygon region, which is based on the convex polygon region. Use geo-fencing technology, set geo-fencing, and display it to the public on a map. Use the centre-point nearest distance method to calculate the priority of its surrounding evacuation passage. According to the above method, the field multi-source data based on the mobile Internet of things are analyzed, and the following results are obtained: (1) Envelope analysis is used to analyze the booth and the exhibition group, and it is found that most of the samples do not reach the effective DEA unit. It is mainly caused by the shortage of scale efficiency and technical efficiency. Exhibitors need to re-select the booth position, the number of booths and the space of the booth according to their exhibitors' demand, in order to achieve the rational allocation of resources on technical efficiency and scale efficiency. To realize the maximum efficiency, the center of mass algorithm is used to solve the location set of each person in the passenger flow. The high-density passenger flow cluster is obtained by using the passenger flow density of 4 person / m2, and the boundary is extracted according to the convex hull algorithm. The geographic fence is used to inform the audience or to display the crowded area on the map. By analyzing the field multi-source data based on the mobile Internet of things, The result of envelopment analysis can change and perfect the investment scheme of exhibitors and achieve high efficiency. Using the upper limit value of passenger flow and the interpersonal distance in public space as parameters, the DBSCAN method is used to determine the high density point cluster as the high density passenger flow set. It is the symbol set that causes the passenger flow to stampede the crowded time, and provides the supporting scheme for the passenger flow evacuation. It provides a quantitative and qualitative method for the identification and location of the passenger flow dense area by combining the heat intensity map of the convex polygon region, and provides a quantitative and qualitative method for the identification and location of the passenger flow dense area. It can provide the safety and risk information for the participants in the exhibition.
【學位授予單位】：河北師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.44;TN929.5;TP274

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