CN104063406B - SVG form GIS data rapid comparison methods based on tense - Google Patents
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Abstract
本发明涉及一种基于时态的SVG格式GIS数据快速比对方法,包括以下步骤:定义为节点集元素;定义倒装解析结构树的标号规则;将两个不同时间戳的SVG格式GIS数据根据所述标号规则生成对应的倒装解析结构树,并将其转换成以所述节点集元素为单元的两个比对数组,生成匹配节点集元素集合;基于所述匹配节点集元素集合,依次遍历两个时间戳的倒装解析结构树,在比对结果的差异脚本文件中添加delete操作或insert操作,保存最终获取的差异脚本文件,完成比对。与现有技术相比,本发明具有匹配过程短、时间复杂度低、效率高等优点。
The present invention relates to a kind of time-based SVG format GIS data rapid comparison method, comprising the following steps: defining as a node set element; The labeling rule generates a corresponding flip-chip parsing structure tree, and converts it into two comparison arrays with the node set element as a unit to generate a matching node set element set; based on the matching node set element set, sequentially Traverse the flip-chip parsing structure trees of the two timestamps, add a delete operation or an insert operation to the difference script file of the comparison result, save the final obtained difference script file, and complete the comparison. Compared with the prior art, the present invention has the advantages of short matching process, low time complexity and high efficiency.
Description
技术领域technical field
本发明是计算机技术领域和地理信息技术领域的交叉,尤其是涉及一种基于时态的SVG格式GIS数据快速比对方法,通过计算机及其算法技术研究解决了不同时间戳的大规模(5M以上)SVG格式的时态GIS数据的快速比对问题。The present invention is the intersection of computer technology field and geographic information technology field, especially relates to a kind of time-based SVG format GIS data quick comparison method, solves the large-scale (more than 5M) of different time stamps through computer and its algorithm technology research ) Rapid comparison of temporal GIS data in SVG format.
背景技术Background technique
空间数据和属性数据构成的GIS称为静态GIS(Static GIS),是现实世界的一个“快照”,而对现实世界变化过程及其规律进行研究则要求GIS具有时间特性,如,对环境监测、天气预报、交通管理、测绘、土地调查等领域随时间变化的GIS进行研究,则称为时态GIS(temporal GIS),时态GIS除具有时间特性外,往往还具有数据量大的特点,即数据是海量的。目前,时态GIS数据管理通常的做法是扩展关系型的时空数据库,将时间作为一般属性,根据时间序列组织时空数据库,但存在瓶颈和不足,如,不适应海量数据的管理,需要引擎支持且影响系统性能等等。面向对象的数据模型在一定程度上解决了时态GIS数据模型的某些不足,但是OODB(面向对象数据库)仍未在市场以及关键应用领域被广泛接受,因为OODB作为一个DBMS(数据库管理系统)也还不太成熟,如,缺少完全非过程性的查询语言以及视图、授权、动态方式更新和参数化性能协调等,且OODB与RDB(关系数据库)之间缺少应有的兼容性,因而使得大量已建立起来的庞大的RDB客户不敢轻易地去选择OODB。The GIS composed of spatial data and attribute data is called static GIS (Static GIS), which is a "snapshot" of the real world, and the research on the changing process and laws of the real world requires GIS to have time characteristics, such as environmental monitoring, The research on GIS that changes with time in the fields of weather forecast, traffic management, surveying and mapping, land survey, etc. is called temporal GIS (temporal GIS). Temporal GIS not only has time characteristics, but also has the characteristics of large amount of data, namely Data is massive. At present, the usual practice of temporal GIS data management is to expand the relational spatio-temporal database, take time as a general attribute, and organize the spatio-temporal database according to the time series, but there are bottlenecks and deficiencies, for example, it is not suitable for the management of massive data and requires engine support and Affect system performance and so on. The object-oriented data model solves some shortcomings of the temporal GIS data model to a certain extent, but OODB (object-oriented database) is still not widely accepted in the market and key application areas, because OODB as a DBMS (database management system) It is also immature, for example, it lacks a completely non-procedural query language, view, authorization, dynamic mode update and parameterized performance coordination, etc., and lacks due compatibility between OODB and RDB (relational database), which makes A large number of established RDB customers dare not choose OODB easily.
因此,有必要从其他方面研究时态GIS数据的存取管理。SVG(Scalable VectorGraphics,可缩放的二维矢量图形)格式的推出为GIS的发展带来了无限生机。SVG作为W3C(World Wide Web Consortium,国际互联网标准组织)制定的一种二维矢量图形格式、一个开放、通用的标准。它具有以下特点:Therefore, it is necessary to study the access management of temporal GIS data from other aspects. The introduction of SVG (Scalable Vector Graphics, scalable two-dimensional vector graphics) format has brought infinite vitality to the development of GIS. SVG is a two-dimensional vector graphics format developed by W3C (World Wide Web Consortium, an international Internet standards organization), an open and universal standard. It has the following characteristics:
1)SVG是完全矢量格式。SVG支持矢量图形的所有操作。1) SVG is a fully vector format. SVG supports all operations of vector graphics.
2)SVG是XML的一个应用标准。以文本格式来描述地理信息内容,易于编辑、容易实现非常高效的图形搜索引擎。2) SVG is an application standard of XML. Describe geographic information content in text format, easy to edit, and easy to implement a very efficient graphic search engine.
3)具备较好的兼容性。SVG容易集成在Web页中,通过浏览器可以方便的显示SVG格式的地图。3) It has better compatibility. SVG is easy to integrate in Web pages, and the map in SVG format can be displayed conveniently through the browser.
4)提供交互图形功能。可以用脚本控制用户与图形的交互,可以通过脚本编程实现对图形显示参数的调整,改变图形外观。4) Provide interactive graphics function. Scripts can be used to control the interaction between users and graphics, and script programming can be used to adjust the display parameters of graphics and change the appearance of graphics.
5)SVG支持GZIP压缩。压缩后的SVGZ可减少75%~80%,从而减轻了网络传输负载,加快了地图的显示速度。5) SVG supports GZIP compression. The compressed SVGZ can be reduced by 75% to 80%, thereby reducing the network transmission load and speeding up the display speed of the map.
目前,基于SVG格式的研究和应用已经非常广泛,但主要集中在表现层和中间层,在时态GIS的时态数据库方面涉及的少。在现有技术中,有研究者提到版本增量的时态GIS数据管理概念、SVG格式数据的提取以及不同的SVG格式数据之间比对等思想,为使用SVG存取时态GIS数据奠定了基础。以SVG格式研究大规模时态GIS数据的增量存取是一种新途径,突破了传统的数据库存取的管理方式,但其难点之一是解决不同时间戳大规模SVG格式GIS数据的快速比对问题,能否合理并有效地解决该问题是研究SVG格式的时态GIS数据增量存取的关键。At present, the research and application based on SVG format have been very extensive, but they are mainly concentrated on the presentation layer and the middle layer, and little is involved in the temporal database of temporal GIS. In the prior art, some researchers have mentioned the concept of temporal GIS data management with version increments, the extraction of SVG format data, and the comparison between different SVG format data, laying the foundation for the use of SVG to access temporal GIS data. base. It is a new way to study the incremental access of large-scale temporal GIS data in SVG format, which breaks through the traditional database access management method, but one of the difficulties is to solve the problem of fast access to large-scale GIS data in SVG format with different timestamps. The comparison problem, whether it can be solved reasonably and effectively is the key to the study of temporal GIS data incremental access in SVG format.
解决不同时间戳大规模SVG格式GIS数据的快速比对涉及的相关技术及需要解决的问题包括:The related technologies involved in the rapid comparison of large-scale SVG format GIS data with different time stamps and the problems to be solved include:
1)SVG格式语法的理解及定义的扩充,如,各种地理元素的定义、嵌套的关系等。1) Understanding of SVG format syntax and expansion of definitions, such as definitions of various geographical elements, nested relationships, etc.
2)大规模(5M以上)SVG格式的GIS数据对应的倒状结构树的生成及优化。2) Generation and optimization of the inverted structure tree corresponding to large-scale (over 5M) GIS data in SVG format.
3)记录不同时间戳SVG格式的GIS数据比对结果的差异脚本文件的生成规则及函数的定义。3) The generation rules and function definitions of the difference script files that record the comparison results of GIS data in SVG format with different time stamps.
4)高效比对算法的实现。4) Realization of efficient comparison algorithm.
发明内容Contents of the invention
本发明的目的就是为了克服上述现有技术存在的缺陷而提供一种基于时态的SVG格式GIS数据快速比对方法。The purpose of the present invention is to provide a temporal-based quick comparison method for GIS data in SVG format in order to overcome the above-mentioned defects in the prior art.
本发明的目的可以通过以下技术方案来实现:The purpose of the present invention can be achieved through the following technical solutions:
一种基于时态的SVG格式GIS数据快速比对方法,包括以下步骤:A method for quickly comparing GIS data in SVG format based on temporal, comprising the following steps:
1)将从根节点开始的某一分支中的元素节点、属性节点和文本节点看成一个整体,定义为节点集元素;1) Consider the element nodes, attribute nodes and text nodes in a certain branch starting from the root node as a whole, and define them as node set elements;
2)定义倒装解析结构树的标号规则,具体为:以大写字母A~Z与所述SVG格式GIS数据的主要基本元素一一对应;2) Define the labeling rules of the flip-chip parsing structure tree, specifically: capital letters A to Z correspond to the main basic elements of the GIS data in the SVG format;
3)将两个不同时间戳的SVG格式GIS数据根据所述标号规则生成对应的倒装解析结构树,并将其转换成以所述节点集元素为单元的两个比对数组,对其中一个数组进行排序,通过遍历另一个数组中的元素,对已排序的数组进行折半查找,生成匹配节点集元素集合;3) Generate corresponding flip-chip parsing structure trees from the SVG format GIS data of two different timestamps according to the labeling rules, and convert it into two comparison arrays with the node set element as the unit, and one of them The array is sorted, and by traversing the elements in another array, the sorted array is searched in half to generate a set of matching node set elements;
4)基于所述匹配节点集元素集合,首先遍历第一个时间戳的倒装解析结构树,若存在不属于匹配节点集元素集合的节点,则在比对结果的差异脚本文件中添加delete操作,接着遍历第二个时间戳的倒装解析结构树,若存在不属于匹配节点集元素集合的节点,则在比对结果的差异脚本文件中添加insert操作,保存最终获取的差异脚本文件,完成比对。4) Based on the matching node set element set, first traverse the inverted parsing structure tree of the first timestamp, if there is a node that does not belong to the matching node set element set, add a delete operation in the difference script file of the comparison result , and then traverse the inverted parsing structure tree of the second timestamp, if there is a node that does not belong to the matching node set element set, add an insert operation to the difference script file of the comparison result, save the final obtained difference script file, and complete Comparison.
所述差异脚本文件与第一个时间戳的SVG格式GIS数据相结合获得第二个时间戳的SVG格式GIS数据The difference script file is combined with the GIS data in SVG format of the first time stamp to obtain the GIS data in SVG format of the second time stamp
与现有技术相比,本发明I-DiffS是建立在一种新定义的节点集元素和倒装解析结构树的标号规则及其优化之上,由生成匹配节点集元素集合的子算法模型I-SVG-Match和生成差异脚本的子算法模型I-SVG-DiffScript组成,具有以下优点:Compared with the prior art, the I-DiffS of the present invention is based on a newly defined node set element and the labeling rule and optimization of the inverted parsing structure tree, by generating a sub-algorithm model I of a matching node set element set -SVG-Match and I-SVG-DiffScript, a sub-algorithm model for generating difference scripts, have the following advantages:
1、定义了节点集元素,大量地减少了倒状解析结构树对应的元素个数,缩短了匹配过程。1. The node set elements are defined, which greatly reduces the number of elements corresponding to the inverted parsing structure tree and shortens the matching process.
2、使用了基于倒状解析结构树的标号定义规则,使得原本的结构树得到了进一步的优化,减少了排序时间。基于本发明规则的定义,优化后的结构树的节点数比原倒装结构树减少了55%,比文献“Al Ekram R,Adma A,Baysal O.DiffX:An Algorithm to DetectChanges in Multi Version XML Document.2005Conference of the Centre forAdvanced Studies on Collaborative Research,Toronto,Canada,2005”中的DiffX算法的结构树节点数减少了34%,比文献“Du Qingfeng,Tang Xuebo.The Improvement of VTDXML Processing Model.IEEE International Conference on Computer Science andService System,Nanjing,China,2011”中的DiffS算法的优化后的结构树节点数减少了23%,解决了DiffX算法和DiffS算法中的节点数过多、每个元素的属性字符串过长所导致的排序和查找的时间过长问题。2. Using the label definition rules based on the inverted parsing structure tree, the original structure tree has been further optimized and the sorting time has been reduced. Based on the definition of the rules of the present invention, the number of nodes of the structure tree after optimization has been reduced by 55% compared with the original inverted structure tree, and compared with the document "Al Ekram R, Adma A, Baysal O.DiffX:An Algorithm to DetectChanges in Multi Version XML Document .2005 Conference of the Center for Advanced Studies on Collaborative Research, Toronto, Canada, 2005" in the DiffX algorithm structure tree node number reduced by 34%, compared with the document "Du Qingfeng, Tang Xuebo. The Improvement of VTDDML Processing Model. IEEE International Conference On Computer Science and Service System, Nanjing, China, 2011", the number of nodes in the optimized structure tree of the DiffS algorithm is reduced by 23%, which solves the problem of too many nodes in the DiffX algorithm and the DiffS algorithm, and the attribute string of each element The sorting and searching time caused by too long is too long.
3、时间复杂度为O(n),低于现有的最优匹配算法模型DiffS的时间复杂度O(nlogn),适合对大规模SVG格式GIS数据(地图)进行差异匹配。3. The time complexity is O(n), which is lower than the time complexity O(nlogn) of the existing optimal matching algorithm model DiffS, which is suitable for differential matching of large-scale SVG format GIS data (maps).
4、比对结果的差异脚本中记录的差异操作由原本的insert、move和delete三种操作转变成insert和delete两种操作,效率大大提高。4. The difference operation recorded in the comparison script is changed from the original three operations of insert, move and delete to two operations of insert and delete, which greatly improves the efficiency.
附图说明Description of drawings
图1为SVG格式的GIS架构示意图。Figure 1 is a schematic diagram of the GIS architecture in SVG format.
具体实施方式detailed description
下面结合附图和具体实施例对本发明进行详细说明。本实施例以本发明技术方案为前提进行实施,给出了详细的实施方式和具体的操作过程,但本发明的保护范围不限于下述的实施例。The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
本实施例提供一种基于时态的SVG格式GIS数据快速比对方法,由于不同时间戳的大规模SVG格式的GIS数据是一种复杂的嵌套结构,如图1所示,且在SVG中各种地理元素的表示复杂多样,本方法在SVG格式GIS数据的基础上进行规则定义。本方法以I-DiffS命名,包括以下步骤:This embodiment provides a method for quickly comparing GIS data in SVG format based on temporal, because large-scale GIS data in SVG format with different timestamps is a complex nested structure, as shown in Figure 1, and in SVG The representation of various geographic elements is complex and diverse, and this method defines rules based on GIS data in SVG format. This method is named after I-DiffS and includes the following steps:
1)将从根节点开始的某一分支中的元素节点、属性节点和文本节点看成一个整体,定义为节点集元素,减少了比对数组中的元素个数。1) The element nodes, attribute nodes and text nodes in a certain branch starting from the root node are regarded as a whole, defined as node set elements, and the number of elements in the comparison array is reduced.
2)定义倒装解析结构树的标号规则,具体为:以大写字母A~Z与所述SVG格式GIS数据的主要基本元素一一对应,在SVG格式GIS数据中主要包括基本图形元素集、常见框架元素集和常用属性元素集,总共有26个主要基本元素。2) Define the labeling rules for the flip-chip parsing structure tree, specifically: the uppercase letters A to Z correspond to the main basic elements of the GIS data in SVG format, and the GIS data in SVG format mainly includes basic graphic element sets, common There are a total of 26 main basic elements in the frame element set and common attribute element set.
3)将两个不同时间戳的SVG格式GIS数据根据所述标号规则生成对应的倒装解析结构树,并将其转换成以所述节点集元素为单元的两个比对数组,对其中一个数组进行排序,通过遍历另一个数组中的元素,对已排序的数组进行折半查找,生成匹配节点集元素集合。3) Generate corresponding flip-chip parsing structure trees from the SVG format GIS data of two different timestamps according to the labeling rules, and convert it into two comparison arrays with the node set element as the unit, and one of them The array is sorted, and by traversing the elements in another array, the sorted array is searched in half to generate a set of matching node set elements.
4)基于所述匹配节点集元素集合,首先遍历第一个时间戳的倒装解析结构树,若存在不属于匹配节点集元素集合的节点,则在比对结果的差异脚本文件中添加delete操作,接着遍历第二个时间戳的倒装解析结构树,若存在不属于匹配节点集元素集合的节点,则在比对结果的差异脚本文件中添加insert操作,保存最终获取的差异脚本文件,完成比对,所述差异脚本文件与第一个时间戳的SVG格式GIS数据相结合获得第二个时间戳的SVG格式GIS数据4) Based on the matching node set element set, first traverse the inverted parsing structure tree of the first timestamp, if there is a node that does not belong to the matching node set element set, add a delete operation in the difference script file of the comparison result , and then traverse the inverted parsing structure tree of the second timestamp, if there is a node that does not belong to the matching node set element set, add an insert operation to the difference script file of the comparison result, save the final obtained difference script file, and complete For comparison, the difference script file is combined with the GIS data in SVG format of the first time stamp to obtain the GIS data in SVG format of the second time stamp
上述方法实现过程主要是以算法模型理论为依据,基于上述步骤实现的对比文件的时间复杂度为O(n),低于现有的最优匹配算法DiffS的时间复杂度O(nlogn),故适合对大规模SVG格式的GIS数据进行差异匹配。The implementation process of the above method is mainly based on the algorithm model theory. The time complexity of the comparison files based on the above steps is O(n), which is lower than the time complexity O(nlogn) of the existing optimal matching algorithm DiffS, so It is suitable for differential matching of large-scale GIS data in SVG format.
本发明方法的验证采用增量模式策略,增量的同时SVG格式GIS数据的数据量也按照一定的数量级进行递增。表1为DIFFX、DIFFS和本发明I-DIFFS按照10M、0.1G、1G和2G的数量级进行验证的结果,结果证明了本发明方法的高效性。The verification of the method of the present invention adopts an incremental mode strategy, and the data volume of the SVG format GIS data is also increased according to a certain order of magnitude while increasing. Table 1 shows the verification results of DIFFX, DIFFS and I-DIFFS of the present invention according to the order of 10M, 0.1G, 1G and 2G, and the results prove the high efficiency of the method of the present invention.
表1三种方法针对不同大小SVG格式GIS数据的比对时间统计(单位:秒)Table 1 Comparison time statistics of the three methods for different sizes of GIS data in SVG format (unit: second)
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