违法建设发现方式的研究与应用

发布时间：2018-01-19 13:08

本文关键词： 违法建设卫星查违街景查违移动巡查　出处：《中国地质大学(北京)》2017年硕士论文　论文类型：学位论文

【摘要】：随着我国经济社会的发展,城市化进程不断加快,违法建设的数量和规模也在不断攀升,严重影响了城市居民生活和城市环境和形象。为了有效遏制违法建设的增长,本文在对一些主要城市的违法建设背景、现状、治理措施等进行调查的基础上,结合北京市违法建设发现和查处实际情况,对多种违法建设发现技术方法进行了研究。本文分析了违法建设的现状和危害以及国内外主要城市的治理措施等,采用卫星技术、街景技术、移动技术、举报平台来发现违法建设:对每一类技术都制定了相应的技术流程,技术路线;基于违法建设特征提出其发现方式,分析技术特点,从发现其来源的方式上为治理难题寻找新的途径。利用卫星影像数据自动监测土地变化,提取变化图斑来发现违法建设;利用街景监测技术中街景影像的变化图构建违法建设的形成过程,利用移动通信技术巡查违法建设等,利用这些技术手段,实现了违法建设发现从空中到地面的发现全覆盖,掌握其基本情况与特点,并且能够快速发现、快速拆除,提高城市生态文明建设。本文设计了多方式融合的违法建设发现及查处平台与验证系统:平台介绍了发现违法建设的数据源与数据处理、各个发现方式的功能实现;验证系统介绍了数据标准、发现机制、功能实现等,对各方式发现的违法建设数据进行了初步分析与总结,并以卫星查违为例介绍了应用实例,对发现违法建设的数据源进行处理与管理,利用它们对违法建设进行分类管理,对查处与治理工作进行监督,为平台提供大量数据支撑;针对可能是违法建设产生的原因进行归类整理,再做出有效预防措施;使得执法者的工作有据可查,有据可依。对北京市2013年到2016年各发现技术手段发现的违法建设数据进行分析和综合评价,分析各类发现技术手段的优缺点,这些发现方式的互补性;总结各技术方式的优势和不足,对各发现技术手段发现的违法建设的能力进行分析与评价。
[Abstract]:With the development of our country's economy and society, the process of urbanization is speeding up, and the quantity and scale of illegal construction are also rising. In order to effectively curb the growth of illegal construction, this paper investigates the background, status quo and governance measures of the illegal construction in some major cities. Combined with the actual situation of illegal construction discovery and investigation in Beijing, this paper studies various technical methods of illegal construction discovery. This paper analyzes the current situation and harm of illegal construction and the measures of control in major cities at home and abroad. Using satellite technology, streetscape technology, mobile technology, reporting platform to find illegal construction: for each type of technology to formulate the corresponding technical process, technical route; Based on the characteristics of illegal construction, this paper puts forward the discovery method, analyzes the technical characteristics, and finds a new way to solve the difficult problems from the way of discovering its source. The satellite image data is used to automatically monitor the land change. Extract the change pattern to find the illegal construction; The formation process of illegal construction is constructed by using the change map of street scene image in street scene monitoring technology, and the illegal construction is inspected by mobile communication technology, and these technical means are used. Realized the illegal construction discovery from the air to the ground discovery full coverage, grasps its basic situation and the characteristic, and can quickly discover, the fast demolition. Improve the construction of urban ecological civilization. This paper designs a multi-way fusion of illegal construction detection and investigation platform and verification system: the platform introduces the data source and data processing of illegal construction. The realization of the function of each discovery mode; The verification system introduces the data standard, discovery mechanism, function realization and so on, analyzes and summarizes the illegal construction data found in various ways, and introduces the application example with the example of satellite inspection violation. To deal with and manage the data sources found illegal construction, to use them to classify the illegal construction management, to investigate and manage the work of supervision, to provide a large number of data support for the platform; According to the possible causes of illegal construction to sort out, and then to make effective preventive measures; So that the work of the law enforcers can be documented, according to the evidence. Beijing from 2013 to 2016 found technical means to find illegal construction data analysis and comprehensive evaluation. The advantages and disadvantages of various discovery techniques are analyzed, and the complementarities of these discovery methods are analyzed. This paper summarizes the advantages and disadvantages of each technical method, and analyzes and evaluates the ability of the illegal construction found by each technical means.
【学位授予单位】：中国地质大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P208;P235;F299.2

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