WO2017000877A1 - 一种实现网络规划的方法和装置 - Google Patents

一种实现网络规划的方法和装置 Download PDF

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Publication number
WO2017000877A1
WO2017000877A1 PCT/CN2016/087573 CN2016087573W WO2017000877A1 WO 2017000877 A1 WO2017000877 A1 WO 2017000877A1 CN 2016087573 W CN2016087573 W CN 2016087573W WO 2017000877 A1 WO2017000877 A1 WO 2017000877A1
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planning
topology
document
data
keywords
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PCT/CN2016/087573
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English (en)
French (fr)
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姚珂
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中兴通讯股份有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3347—Query execution using vector based model
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design

Definitions

  • This document relates to, but is not limited to, network technology, and in particular to a method and apparatus for implementing network planning.
  • the network planning logic records and analyzes the customer requirements, and calculates according to the relevant formulas, generates a variety of planning plans suitable for the customer's needs, submits the planning plan to the company's sales system, calculates the engineering cost, and responds to the customer's bidding. demand.
  • each product has planning logic (software) to meet the needs of users, providing users and pre-sales engineers with a complete planning solution, but the use of these software requires a deep understanding of the product. It needs to be configured according to the complete configuration guide document, operation guidance document and other guidance documents.
  • the related art has the following problems: If the configuration engineer does not understand the guidance document, it is easily troubled by the technical vocabulary in the document, which brings inconvenience; in addition, due to the increasing demand of the customer for the network, the business volume is also increasing. In the early stage, the time for inputting the basic project is getting longer and longer, and sometimes the wrong business is entered. Once a business error occurs, it will result in a lot of mistakes. In this case, it is necessary to check from the beginning, re-enter, and handle the process. Laborious and inefficient.
  • the embodiment of the invention provides a method and a device for implementing network planning, which can avoid the dependence on the guidance document understanding in the network planning process.
  • An embodiment of the present invention provides a method for implementing network planning, including: acquiring keywords in a planning document, generating preset conditions required for implementing network planning according to the keywords, and acquiring a planning document.
  • the initial topology map is transformed into the topology data required for network planning; the initial business information in the planning document is obtained, and the business data required for network planning is transformed; the preset conditions, topology data, and services are generated according to the generated
  • the data is generated by the planning logic to generate the network plan.
  • the keywords in the obtaining planning document include:
  • the scanning plug-in support includes normal scanning, custom scanning, and fuzzy scanning
  • the keywords include: common key Words and/or custom keywords.
  • the keywords in the planning document are obtained, and the preset conditions required to implement the network planning according to the keywords are: searching for common keywords in the planning document, when the planning logic After the existing keyword provided by the data dictionary is successfully matched with the common keyword, the common keyword is converted into the preset condition; the customized keyword is searched in the planning document, and the customized keyword is An existing keyword in the data dictionary is associated as the preset condition; and/or, according to an existing keyword in the data dictionary, a synonym or a similar word is searched in the planning document, and the synonym or similar word is used.
  • the existing keywords are associated as the preset conditions.
  • the initial topology map in the planning document is obtained, and the topology data required for the network planning is: the custom intercepting at least one table in the planning document; and the classification in the intercepted table.
  • the information is corrected to the topology data that the planning logic can recognize.
  • the initial topology image in the planning document is obtained, and the topology data required for the network planning is: the at least one topology image in the planning document is customized and is stored in the data dictionary as a reference. a topology map, extracting an initial topology map from the planning document according to the reference topology map; customizing at least one initial topology map in the planning document according to the original pattern provided by the data dictionary; analyzing the initial topology map information to obtain a corresponding Device data, using the device data as topology data that can be identified by the planning logic.
  • the method further includes: after obtaining the keywords in the planning document, using a database to store the keywords.
  • An embodiment of the present invention further provides an apparatus for implementing network planning, including: a preset condition unit, configured to acquire a keyword in a planning document, and generate a preset condition required for implementing network planning according to the keyword; a topology conversion unit , set to get the initial topology map in the planning document, converted to real The topology data required for network planning; the service transformation unit is configured to obtain initial service information in the planning document, and is converted into service data required for network planning; the planning logic unit is set to be based on the generated preset condition, The topology data and the business data generate the network plan.
  • a preset condition unit configured to acquire a keyword in a planning document, and generate a preset condition required for implementing network planning according to the keyword
  • a topology conversion unit set to get the initial topology map in the planning document, converted to real The topology data required for network planning
  • the service transformation unit is configured to obtain initial service information in the planning document, and is converted into service data required for network planning
  • the planning logic unit is set to be based
  • the preset condition unit includes: an obtaining module, configured to perform automatic scanning in the planning document by using a scanning plug-in in the planning logic to obtain keywords in the planning document;
  • the scanning Plug-in support includes normal scanning, custom scanning, and fuzzy scanning;
  • the keywords include: ordinary keywords and/or custom keywords.
  • a common search module configured to search for a common keyword in the planning document, convert the common keyword into the preset condition according to the data dictionary of the planning logic; and customize the search module to be set to search in the planning document
  • the custom keyword is associated with the existing keyword in the data dictionary as a preset condition
  • the fuzzy search module is set to be based on the existing keyword in the data dictionary, in the planning A synonym or similar word is searched for in the document, and a synonym or similar word is associated with the existing keyword as the preset condition.
  • the topology conversion unit includes: a table scanning module configured to automatically intercept at least one of the planning documents; and a correction processing module configured to correct the classification information in the intercepted table to The topology data that the planning logic can identify.
  • the topology conversion unit includes: a picture scanning module, configured to automatically intercept at least one topology image in the planning document, and store the data in a data dictionary as a reference topology map according to the reference topology map. Extracting an initial topology map from the planning document; analyzing the initial topology map; analyzing the module, setting the topology legend in the data dictionary to obtain initial topology map information and topology legend information; and matching module, setting the initial The topology information and the topology legend information are matched to obtain device data corresponding to the initial topology information, and the device data is used as topology data that can be identified by the planning logic.
  • a picture scanning module configured to automatically intercept at least one topology image in the planning document, and store the data in a data dictionary as a reference topology map according to the reference topology map. Extracting an initial topology map from the planning document; analyzing the initial topology map; analyzing the module, setting the topology legend in the data dictionary to obtain initial topology map information and topology legend information; and matching module, setting the initial The topology
  • the planning logic unit includes: a data dictionary unit, configured to provide the associated keyword for matching the association; and a topology for comparing and analyzing the image in the planning document. legend.
  • the preset condition unit further includes:
  • the storage module is configured to obtain the keywords in the planning document
  • the database is used to store the obtained keywords.
  • the technical solution provided by the present invention includes: acquiring keywords in a planning document, generating preset conditions required for implementing network planning according to the keywords, and acquiring an initial topology map in the planning document, and converting into The topology data required for network planning is obtained; the initial service information in the planning document is obtained, and converted into service data required for network planning; and the network planning is generated by the planning logic according to preset conditions, topology data, and service data.
  • the embodiment of the invention avoids the problem that the network planning inconvenience caused by the guiding class Wendan is realized, simplifies the network planning process, and improves the efficiency of the network planning.
  • FIG. 1 is a schematic flow chart of a method for implementing network planning according to an embodiment of the present invention
  • Figure 2 shows a system block diagram of a keyword search
  • Figure 3 shows a system block diagram of a picture scan
  • FIG. 4 is a structural block diagram of an apparatus for implementing network planning according to an embodiment of the present invention.
  • network planning technology with intelligent analysis function is adopted, in order to improve the efficiency of network planning to a certain extent.
  • the embodiment of the invention provides a method for implementing network planning, as shown in FIG. 1 , including:
  • Step 101 Acquire keywords in the planning document, and generate preset conditions required for implementing network planning according to the keywords;
  • Step 102 Obtain an initial topology map in the planning document, and convert the topology data required for implementing network planning.
  • Step 103 Acquire initial service information in the planning document, and convert it into service data required for network planning.
  • Step 104 Generate, according to the generated preset condition, topology data, and service data, by the planning logic Network Planning.
  • you can define "xx/xxx/xxxx three boards as high-power amplifier boards, which are only used for yyy purposes”. Therefore, for this standard, xx/xxx/xxxx boards cannot be used; Generate a preset condition for xx/xxx/xxxx disable. Based on the preset conditions, topology data, and service data, the planning logic is used to calculate the resource information required by the network, such as the type of equipment required and the number of boards.
  • the bidding document is used as a subset of the planning document, and the planning document is uniformly used as the title of the document that records the network planning target and requirements given by the user; here, the bidding document usually includes the operator's published document.
  • the network requirements book defines information of the network including but not limited to network size, number of sites, distance, power consumption, and the like; the planning document may also include a configuration guide provided by the manufacturer itself, and the content of the bidding document is included in the embodiment of the present invention.
  • the documentation is available as a planning document.
  • acquiring keywords in the planning document, and generating preset conditions required for implementing network planning according to keywords include:
  • the ordinary keywords are converted into preset conditions; for example, the bidding document has "not allowed to use large
  • the keyword of the power-amplified board is converted to "not allowed to configure the xx/xxx/xxx type board", and the board of the high-power amplification type is automatically removed, so that the user is not allowed to select, only the keyword is retained.
  • the boards of the xx/xxx/xxx type are not the boards of the high-power amplifier board.
  • the method of converting to the preset condition is a conventional technical means by those skilled in the art; the method in the related art artificially judges which boards and technologies are usable, when encountering new employees with insufficient experience or outsourcing When employees are, they often make mistakes.
  • the conversion is automatically performed according to the planning document, thereby improving the success rate and efficiency.
  • the keywords defined in the data dictionary are extracted, the full-text search is performed on the planning document, the keywords are extracted, and the keyword is used as a preset condition of the network planning; the data dictionary provides keywords, and the keyword is used for searching Associated with the search.
  • the full-text search is performed. After the search is completed, the user associates the retrieved keywords with the keywords in the data dictionary as preset conditions for network planning;
  • fuzzy search a search for a synonym or a similar word is performed according to the keyword given in the data dictionary. After the search is completed, the user associates the retrieved keyword with the keyword in the data dictionary as a network plan. Preset conditions. Fuzzy search is more random than custom search.
  • the import function imports common keywords, custom keywords, synonyms, and similar words into the data dictionary as existing keywords in the data dictionary for later search.
  • obtaining the initial topology map in the planning document and converting the topology data required for network planning includes:
  • the classification information in the intercepted table is corrected to the topology data that the planning logic can recognize.
  • the network topology map is defined in the bidding document, and is represented by a topology map (picture) or a tabular form (picture or table), if it is a tabular shape Then, it is very easy to identify the table, so there is no need to customize the interception; if it is in the form of an image, then you need to customize the current image, narrow the scope, and determine whether all the captured images are topological or table, then proceed Identify and confirm the recognition results for the establishment of the topology map.
  • operators' bids are fixed in format and fixed in icons. Therefore, these formats and icons can be built into the data dictionary, and automatically recognized according to built-in formats and icons for custom interception.
  • the corrected information is in a format required by the planning logic, for example, the format required by the planning logic includes the source and sink nodes of the service, the rate of the service, and the level of the service, and the converted information includes the information.
  • the format required by the planning logic includes the source and sink nodes of the service, the rate of the service, and the level of the service, and the converted information includes the information.
  • obtaining the initial topology map in the planning document and converting the topology data required for network planning includes:
  • At least one topology map in the custom intercept plan document is stored in the data dictionary as a reference topology map, and the initial topology map is extracted from the plan document according to the reference topology map;
  • the initial topology information is analyzed to obtain corresponding device data, and the device data is used as topology data that can be identified by the planning logic.
  • a network topology map is defined in the planning document (for example, bidding document), and there are 10 identical circular patterns corresponding to 10 sites (usually, the operators' graphics are fixed and will not change)
  • scan recognition is performed, 10 sites are identified, and placed on the topology map interface, and the fiber connection between the sites is determined according to the line pattern defined in the data dictionary.
  • the fiber distance is placed on the topology map interface to directly generate the topology map in the bidding document. That is, the corresponding device data is obtained by analyzing the initial topology map information, thereby saving labor time.
  • the analysis and extraction of the images in the planning document according to the graphic provided by the data dictionary is a differentiated image analysis; the one or more images in the planning document are subjected to a custom intercepting operation, and the standard recording of the image is recorded in the data dictionary to
  • the analysis and extraction of the benchmark is a custom image analysis; the analyzed image information is converted into data required by the planning logic, and the topology map and the connection are established in the planning logic based on the data;
  • the data dictionary provides a topology legend, and the topology legend is used to compare and analyze the patterns in the planning document.
  • differentiated image analysis and custom image analysis are two ways to scan pictures. You can choose one of them, or you can scan automatically.
  • the software analyzes the difference according to the reference topology. If there is inaccuracy, customize it. Select a picture to identify it.
  • the planning engineer gets the user's planning document and prepares for network planning. At this time, the engineer reads the planning document first and has a certain understanding of the planning document.
  • the process of obtaining keywords in the planning document includes: scanning in the planning document by using a scanning plug-in in the planning logic to obtain keywords in the planning document, and the scanning plug-in supports normal scanning, custom scanning, and fuzzy scanning; For example, after obtaining the keywords in the planning document, the database is used to store keywords.
  • the business information in the planning document is obtained, converted into tabular data required by the planning logic, and the data that can be finally used to import the planning logic is generated:
  • Step 1 The engineer opens the planning logic and opens the planning document using the software interface.
  • the planning logic installs a scanning plug-in to scan the keywords of the planning document; the planning document can be in word/PDF format.
  • Step 2 The scanning plug-in automatically scans the document by default, and scans the network restriction proposed in the planning document according to the keyword provided in the data dictionary and colors it. At the same time, a custom scanning mode and a full-text fuzzy search mode are also provided.
  • Preset conditions include, but are not limited to, basic network parameters, constraints, network size, and/or site distance.
  • Step 3 Select the topology map related content in the planning document, and then select the table scan or the image scan in the plug-in according to the actual situation, scan the content of the topology map into the specification topology map table used by the planning logic, and finally import into the planning logic to become the network.
  • Topology. Related operations can be implemented by receiving external commands.
  • the engineer selects the scan area and fills in the classification information in the form as the text that can be recognized by the planning logic.
  • the scanned topology map can give a comprehensive result to ensure consistency in the planning document.
  • the engineer manually intercepts the pictures in the planning document, and the planning logic
  • the picture library in the comparison is scanned, including but not limited to network element information, network element name information, coordinate information, optical fiber information, etc. in the network;
  • Step 4 Import the above information into the planning logic, and complete the initial planning of the network with the corresponding product planning document.
  • step 1 the software automatically scans and recognizes keywords.
  • keywords may be manually extracted.
  • the engineer gets the user's planning document or related planning documents and prepares for network planning. At this time, the engineer first reads and understands the planning documents. Then, in an optional embodiment, the business information in the planning document is obtained, converted into tabular data required by the planning logic, and the data finally generated for importing the planning logic is generated:
  • step a the engineer extracts the keywords while reading the document, and stores the keywords in the database of the plug-in;
  • Step b after the extraction is completed, the extracted keywords are put into the planning logic and matched with the keywords defined by the data dictionary, as a preset condition of the network planning;
  • the preset conditions include but are not limited to: basic network parameters and constraints , network size, site distance, etc.;
  • step c the engineer selects the content of the specification topology map in the planning document, and then selects a table scan or a picture scan in the plug-in according to the actual situation, scans the content of the specification topology map into a topology map table used by the planning logic, and finally imports into the planning logic.
  • a table scan or a picture scan in the plug-in according to the actual situation, scans the content of the specification topology map into a topology map table used by the planning logic, and finally imports into the planning logic.
  • Step d if it is a table scan, the engineer manually selects the scan area, and fills in the classification information in the table as the text that can be recognized by the planning logic, and the scanned topology map can give a comprehensive result to ensure consistent in the planning document. ;
  • step e if the image is scanned, the engineer manually intercepts the image in the planning document and compares it with the image library in the planning logic, and scans the network element information, the network element name information, the coordinate information, and the like, including but not limited to the network. Optical fiber information, etc.
  • Step f Import the above information into the planning logic, and complete the initial setting of the network with the corresponding product planning document.
  • the planning documents/planning documents are required: a total of 10 sites; high-power amplification units are not allowed; A service with electrical crossover technology must be used; a table of two-way service orientation is provided, similar to: AB, first wave, BC, second wave; and, pictured network diagram, networking diagram including site name, site type, Kilometers, topology map.
  • Step 1 start the planning logic, start the word/pdf software with the keyword scanning plug-in in the planning logic, and read the planning document;
  • step 2 the keyword “not allowing the use of the high-power amplification unit” and the “electrical cross-service” in the planning document are extracted to the keyword scanning plug-in, and matched with the data dictionary of the keyword scanning plug-in to generate the specification for the planning logic.
  • the keyword “does not allow the use of high-power amplifying boards” and “uses electrical cross-services”, and introduces the canonical keywords into the planning logic as pre-conditions.
  • Step 3 In order to prevent missing keywords, the full-text scanning of the planning document is performed, and the general data existing in the data dictionary is called when the full-text scanning is performed, for example, the data dictionary is built in: the general keyword of the China Mobile planning document--this information can be from the past China Mobile Published planning document.
  • the search results are given, and the special colors are marked in the planning document, which is confirmed by the engineer, and then imported into the planning logic as a preset condition.
  • Step 4 in order to prevent missing keywords, you can also start a custom search and input the specified keywords for retrieval.
  • the custom search module gives the search results and marks them in a special color in the planning document. Confirm, import and import planning logic as a preset condition.
  • Step 5 In order to prevent missing keywords, a fuzzy search may also be started to search for similar words built in the data dictionary, for example, amplifying the board-amplifying unit, and after the scanning is completed, the search result is given, and the special color is used in the planning document. It is marked and confirmed by the engineer. After confirmation, the planning logic is imported as a preset condition.
  • Step 6 Based on the results in steps 2 to 5, when the network selection model is created, the planning logic does not display all the high-power amplifier boards and the boards that do not support the electrical cross.
  • the business table and the initial topology map in the planning document are scanned to generate a canonical topology map used by the planning logic.
  • Step 7 Scan the form, manually select the scan area, fill in the classification information in the table as the text that can be recognized by the planning logic, and scan the topology map to give a comprehensive result to ensure consistency with the planning document.
  • Step 8 Scan the image, manually intercept the image in the planning document, compare it with the image library in the planning logic, and scan out the network element information, the network element name information, the coordinate information, and the optical fiber information, including but not limited to the network.
  • the embodiment of the invention avoids the problem that the network planning is inconvenient caused by the guiding class Wendan, simplifies the network planning process, and improves the efficiency of the network planning.
  • the embodiment of the present invention may be implemented by a server.
  • the embodiment of the invention further provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute the network planning method.
  • An embodiment of the present invention provides a device for implementing network planning, as shown in FIG. 2, including:
  • a preset condition unit configured to acquire keywords in the planning document, and generate preset conditions required for implementing network planning according to keywords
  • the topology conversion unit is configured to obtain an initial topology map in the planning document and convert the topology data required for implementing network planning;
  • the business conversion unit is configured to obtain initial business information in the planning document and convert it into business data required for network planning;
  • the planning logic unit is configured to generate the network plan according to the generated preset conditions, topology data, and service data.
  • the preset condition unit includes:
  • Obtaining a module configured to perform automatic scanning in the planning document by using a scanning plug-in in the planning logic to obtain keywords in the planning document;
  • the scanning plug-in support includes a common scanning, a custom scanning, and a fuzzy scanning;
  • Words include: ordinary keywords and/or custom keywords.
  • a common search module configured to search for a common keyword in the planning document, and convert the common keyword into the preset condition according to the data dictionary of the planning logic
  • a custom search module configured to search for a custom keyword in the planning document, associate the custom keyword with an existing keyword in the data dictionary as the preset condition;
  • the fuzzy search module is configured to search for a synonym or a similar word in the planning document according to an existing keyword in the data dictionary, and associate the synonym or similar word with the existing keyword as the preset condition.
  • the device preset condition unit of the embodiment of the present invention may further include an import module, configured to import common keywords, custom keywords, synonyms, and similar words into the data dictionary, as an existing keyword of the data dictionary. For later search to use.
  • an import module configured to import common keywords, custom keywords, synonyms, and similar words into the data dictionary, as an existing keyword of the data dictionary. For later search to use.
  • the topology conversion unit includes:
  • a table scanning module configured to automatically intercept at least one of the planning documents
  • the correction processing module is configured to correct the classification information in the intercepted table to the topology data that the planning logic can recognize.
  • the topology conversion unit includes:
  • a picture scanning module configured to automatically intercept at least one topology image in the planning document, stored in a data dictionary as a reference topology map, and extracting an initial topology map from the planning document according to the reference topology image;
  • An analysis module configured to analyze the initial topology map, and analyze a topology legend in the data dictionary to obtain initial topology map information and topology legend information;
  • the matching module is configured to match the initial topology information and the topology legend information to obtain device data corresponding to the initial topology information, and use the device data as topology data that can be identified by the planning logic.
  • the preset condition unit further includes:
  • the storage module is configured to store the keyword after using the keyword in the planning document.
  • each module/unit in the foregoing embodiment may be implemented in the form of hardware, for example, by implementing an integrated circuit to implement its corresponding function, or may be implemented in the form of a software function module, for example, being executed by a processor and stored in a memory. Programs/instructions to implement their respective functions.
  • the invention is not limited to any specific form of combination of hardware and software.
  • the above technical solution avoids the problem of inconvenient network planning caused by the guidance class Wendan, simplifies the network planning process, and improves the efficiency of network planning.

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Abstract

一种实现网络规划的方法和装置，包括：获取规划文档中的关键词，根据所述关键词生成实现网络规划所需的预置条件；获取规划文档中的初始拓扑图，转化为实现网络规划所需的拓扑数据；获取规划文档中的初始业务信息，转化为实现网络规划所需的业务数据；根据预置条件、拓扑数据和业务数据由规划逻辑生成网络规划。本发明实施例，避免了由指导类文旦造成的网络规划不便实现的问题，简化了网络规划过程，提高了网络规划的效率。

Description

一种实现网络规划的方法和装置 技术领域
本文涉及但不限于网络技术，尤其涉及一种实现网络规划的方法和装置。
背景技术
随着网络应用技术的不断发展，对网络设备的要求越来越高，网络的规划以及扩容显得越来越重要。在客户的观念中，必须有一套稳定好用的规划逻辑来实现网络的规划，才能对网络进行了解。
网络规划逻辑通过对客户需求进行录入和分析，并根据相关的公式进行计算，生成多种适用于客户需求的规划方案，将规划方案提交到公司的销售系统，计算出工程成本，应对客户的投标需求。
在现有的条件下，每个产品都已经有规划逻辑(软件)可以实现用户的需求，给予用户及售前工程师提供完整的规划方案，但使用这些软件都需要对产品有较深的理解，需要根据完整的配置指导文档、操作指导文档等指导类文档来进行配置。
相关技术中存在如下问题：如果配置工程师不了解指导类文档，很容易被文档中的技术词汇困扰，带来不便；另外，由于客户对于网络的需求越来越高，业务量也越来越大，前期输入基础工程的时间也越来越长，有时会出现输错业务的情况，一旦出现一条业务输错，就会导致输错很多业务，此时，需要从头检查，重新输入，处理过程费事费力，效率低。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
本发明实施例提供一种实现网络规划的方法和装置，能够避免网络规划过程中对指导类文档理解的依赖。
本发明实施例提供一种实现网络规划的方法，包括：获取规划文档中的关键词，根据所述关键词生成实现网络规划所需的预置条件；获取规划文档 中的初始拓扑图，转化为实现网络规划所需的拓扑数据；获取规划文档中的初始业务信息，转化为实现网络规划所需的业务数据；根据生成的所述预置条件、拓扑数据和业务数据由规划逻辑生成所述网络规划。
可选的，所述获取规划文档中的关键词包括：
采用所述规划逻辑中的扫描插件在规划文档中进行自动扫描，以获取规划文档中的关键词；所述扫描插件支持包括普通扫描、自定义扫描和模糊扫描；所述关键词包括：普通关键词和/或自定义关键词。
可选的，所述的方法中，获取规划文档中的关键词，根据所述关键词生成实现网络规划所需的预置条件包括：在规划文档中搜索到普通关键词，当所述规划逻辑的数据字典提供的已有关键词与所述普通关键词匹配成功后，将所述普通关键词转换为所述预置条件；在规划文档中搜索到自定义关键词，将自定义关键词和数据字典中的已有关键词进行关联，作为所述预置条件；和/或，根据数据字典中的已有关键词，在规划文档中搜索到同义词或相似词，将同义词或相似词与所述已有关键词进行关联，作为所述预置条件。
可选的，所述的方法中，获取规划文档中的初始拓扑图，转化为网络规划所需的拓扑数据包括：自定义截取所述规划文档中的至少一个表格；将截取的表格中的分类信息修正为规划逻辑能够识别的所述拓扑数据。
可选的，所述的方法中，获取规划文档中的初始拓扑图，转化为网络规划所需的拓扑数据包括：自定义截取所述规划文档中的至少一个拓扑图存放在数据字典中作为基准拓扑图，根据所述基准拓扑图从规划文档中提取初始拓扑图；根据数据字典提供的原始图样，自定义截取所述规划文档中的至少一个初始拓扑图；分析所述初始拓扑图信息得到对应的设备数据，将所述设备数据作为规划逻辑能够识别的拓扑数据。
可选的，所述的方法还包括：获取到规划文档中的关键词之后，采用数据库存放所述关键词。
本发明实施例还提供一种实现网络规划的装置，包括：预置条件单元，设置为获取规划文档中的关键词，根据所述关键词生成实现网络规划所需的预置条件；拓扑转化单元，设置为获取规划文档中的初始拓扑图，转化为实 现网络规划所需的拓扑数据；业务转化单元，设置为获取规划文档中的初始业务信息，转化为实现网络规划所需的业务数据；规划逻辑单元，设置为根据生成的所述预置条件、拓扑数据和业务数据生成所述网络规划。
可选的，所述的装置中，预置条件单元包括：获取模块，设置为采用所述规划逻辑中的扫描插件在规划文档中进行自动扫描，以获取规划文档中的关键词；所述扫描插件支持包括普通扫描、自定义扫描和模糊扫描；所述关键词包括：普通关键词和/或自定义关键词。普通搜索模块，设置为在规划文档中搜索到普通关键词，根据所述规划逻辑的数据字典将所述普通关键词转换为所述预置条件；自定义搜索模块，设置为在规划文档中搜索到自定义关键词，将自定义关键词和数据字典中的已有关键词进行关联，作为预置条件；和/或，模糊搜索模块，设置为根据数据字典中的已有关键词，在规划文档中搜索到同义词或相似词，将同义词或相似词与所述已有关键词进行关联，作为所述预置条件。
可选的，所述的装置中，拓扑转化单元包括：表格扫描模块，设置为自定义截取所述规划文档中的至少一个表格；修正处理模块，设置为将截取的表格中的分类信息修正为规划逻辑能够识别的所述拓扑数据。
可选的，所述的装置中，拓扑转化单元包括：图片扫描模块，设置为自定义截取所述规划文档中的至少一个拓扑图存放在数据字典中作为基准拓扑图，根据所述基准拓扑图从规划文档中提取初始拓扑图；分析所述初始拓扑图；分析模块，设置为分析所述数据字典中的拓扑图例，得到初始拓扑图信息和拓扑图例信息；匹配模块，设置为将所述初始拓扑图信息和拓扑图例信息进行匹配，得到初始拓扑图信息对应的设备数据，将所述设备数据作为规划逻辑能够识别的拓扑数据。
可选的，所述的装置中，规划逻辑单元包括：数据字典单元，设置为提供用于匹配的关联的所述已有关键词；及，用于和规划文档中的图片进行对比分析的拓扑图例。
可选的，所述预置条件单元还包括：
存储模块，设置为获取到规划文档中的关键词之后，采用数据库存放获取的所述关键词。
与相关技术相比，本发明提供的技术方案，包括：获取规划文档中的关键词，根据所述关键词生成实现网络规划所需的预置条件；获取规划文档中的初始拓扑图，转化为实现网络规划所需的拓扑数据；获取规划文档中的初始业务信息，转化为实现网络规划所需的业务数据；根据预置条件、拓扑数据和业务数据由规划逻辑生成网络规划。本发明实施例，避免了由指导类文旦造成的网络规划不便实现的问题，简化了网络规划过程，提高了网络规划的效率。
在阅读并理解了附图和详细描述后，可以明白其他方面。
附图概述
图1表示本发明实施例实现网络规划的方法流程示意图；
图2表示关键词检索的系统框图；
图3表示图片扫描的系统框图；
图4表示本发明实施例实现网络规划的装置的结构框图。
本发明的实施方式
下文中将结合附图对本申请的实施例进行详细说明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互任意组合。
本申请中，采用具有智能分析功能的网络规划技术，以期望能在一定程度上提升网络规划的效率。
本发明实施例提供实现网络规划的方法，如图1所示，包括：
步骤101，获取规划文档中的关键词，根据关键词生成实现网络规划所需的预置条件；
步骤102，获取规划文档中的初始拓扑图，转化为实现网络规划所需的拓扑数据；
步骤103，获取规划文档中的初始业务信息，转化为实现网络规划所需的业务数据；
步骤104，根据生成的预置条件、拓扑数据和业务数据由规划逻辑生成 网络规划。
需要说明的是，以规划文档(例如、标书)包含的内容为：不允许使用大功率放大单板为例，通过规划文档中的内容转化为例如“大功率放大单板＝disable”的语句后，在规划文档中可以定义“xx/xxx/xxxx三块单板为大功率放大单板，仅用于yyy用途”，因此，针对此次应标，xx/xxx/xxxx单板不得使用；最终生成xx/xxx/xxxx＝disable的一个预置条件。根据预置条件和拓扑数据、业务数据采用规划逻辑计算出网络所需要的资源信息，例如需要的设备的类型、单板的数量等。
应用所提供的技术，采用不同的分析方式从规划文档中获取实现网络规划所需的预置条件、拓扑数据和业务数据，由规划逻辑根据预置条件、拓扑数据和业务数据生成网络规划，便可完成网络规划工作。
本申请实施例中，为了描述的方便，将标书作为规划文档的子集，统一采用规划文档作为用户给出的记载了网络规划目标、要求的文档的称谓；这里，标书通常包括运营商发布的网络需求书，定义了本网络的包括但不限于网络大小、站点数量、距离、功耗等信息；规划文档也可以包含厂商自己提供的配置指导书，本发明实施例中，包含标书中的内容的文档均可以作为规划文档。
获取规划文档中的信息，形成网络规划的预置条件的方式多种多样。如图2所示，在一个可选实施例中，获取规划文档中的关键词，根据关键词生成实现网络规划所需的预置条件包括：
在规划文档中搜索到普通关键词，根据规划逻辑的数据字典将普通关键词转换为预置条件；包括：
在规划文档中搜索到普通关键词，当规划逻辑的数据字典提供的已有关键词与普通关键词匹配成功后，将普通关键词转换为预置条件；例如、标书中存在“不允许使用大功率放大单板”这一关键词，则将此关键词转换成“不允许配置xx/xxx/xxx类型单板”，自动将大功率放大类型的单板去掉，不让用户进行选择，仅保留xx/xxx/xxx类型单板等不是大功率放大单板的单板。转换为预置条件的方法是本领域技术人员的惯用技术手段；相关技术中的方法人为判断哪些单板、技术是可以使用，当碰上经验缺乏的新员工或者外包 员工时，经常会弄错。而本实施例根据规划文档自动进行转换，提高成功率和效率。
在规划文档中搜索到自定义关键词，将自定义关键词和数据字典中的已有关键词进行关联，作为预置条件；
和/或，根据数据字典中的已有关键词，在规划文档中搜索到同义词或相似词，将同义词或相似词与已有关键词进行关联，作为预置条件。
需要说明的是，本发明实施例的关联可以理解为某些词语是同义词或者是近义词的意思，比如10端网元＝10端设备＝10个站点＝10个网元；在规划文档中，可能通常使用的是网元这个词语，而标书中可能使用的是设备或者站点这个词语，因此，自定义的关键词要与数据字典中的已有的关键词进行关联，以作为预置条件。
在普通搜索中，提取数据字典中定义的关键词，对规划文档进行全文搜索，提取出关键词，将此关键词作为网络规划的预置条件；数据字典提供关键词，该关键词用于搜索和搜索关联。
自定义搜索中，进行全文检索，在检索完成后，由使用者将检索出的关键词和数据字典中具有的关键词进行关联，作为网络规划的预置条件；
模糊搜索中，根据数据字典中给出的关键词，进行同义词或相似词的搜索，在检索完成后，由使用者将检索出的关键词和数据字典中具有的关键词进行关联，作为网络规划的预置条件。模糊搜索相比于自定义检索更随意一些。
导入功能，将普通关键词、自定义关键词、同义词和相似词导入到数据字典中，作为数据字典的已有关键词，供以后的搜索来使用。
获取拓扑数据的方式多种多样。如图3所示，在一个可选实施例中，获取规划文档中的初始拓扑图，转化为网络规划所需的拓扑数据包括：
自定义截取规划文档中的至少一个表格；
将截取的表格中的分类信息修正为规划逻辑能够识别的所述拓扑数据。
需要说明的是，以规划文档为标书为例，标书中会定义好网络拓扑图，以拓扑图形式(图片)或者是表格形式(图片或表格)表示，如果是表格形 式，那么，识别表格将非常容易，也就不需要自定义截取；如果是图片形式，那么，需要自定义截取出当前图片，缩小范围，并确定所有截取的图片是拓扑图还是表格，然后进行识别并确认识别结果，用于拓扑图的建立。通常来说，运营商的标书都是格式固定、图标固定的，因此，数据字典中可以内置这些格式和图标，根据内置的格式和图标进行自动识别，实现自定义截取。另外，能够识别包括修正后的信息是符合规划逻辑所需格式的，例如规划逻辑所需的格式中包括业务的源宿节点、业务的速率、业务的等级这些信息，那么转化后的信息包含这些内容，就是可以被规划逻辑所识别的
在一个可选实施例中，获取规划文档中的初始拓扑图，转化为网络规划所需的拓扑数据包括：
自定义截取规划文档中的至少一个拓扑图存放在数据字典中作为基准拓扑图，根据基准拓扑图从规划文档中提取初始拓扑图；
根据数据字典提供的原始图样，自定义截取规划文档中的至少一个初始拓扑图；
分析初始拓扑图信息得到对应的设备数据，将设备数据作为规划逻辑能够识别的拓扑数据。
需要说明的是，规划文档(例如、标书)中定义了一张网络拓扑图，有10个相同的圆形图形，对应10个站点(通常，运营商的这些图形是固定的不会发生改变)，此时，根据内置的数据字典中对应图形，进行扫描识别，将10个站点识别出来，并放置于拓扑图界面上，同时，根据数据字典中定义的线条图形，确定站点间的光纤连接及光纤距离，并放置于拓扑图界面上，直接生成标书中的拓扑图，即通过分析初始拓扑图信息得到对应的设备数据，节省人工时间。
根据数据字典提供的图示对规划文档中的图片进行分析和提取是差异化图片分析；将规划文档中的一个或多个图片进行自定义截取操作，作为图片的标准记录在数据字典中，以此为基准的进行分析和提取是自定义图片分析；将分析出来的图片信息，转化成规划逻辑需要的数据，并以此数据为基准，在规划逻辑中建立拓扑图及连线；
数据字典提供拓扑图例，拓扑图例用于和规划文档中的图样进行对比分析。其中，差异化图片分析、自定义图片分析是两种扫描图片的方式，可以任选一种，也可以先自动扫描，软件根据基准拓扑图进行差异化分析，如果有不准确的，再自定义选择图片进行识别。
规划工程师(简称：工程师)拿到用户的规划文档，准备进行网络规划，此时工程师先阅读规划文档，对该规划文档有一定的了解。获取规划文档中的关键词的过程包括：采用规划逻辑中的扫描插件在规划文档中进行扫描，以获取规划文档中的关键词，扫描插件支持普通扫描、自定义扫描和模糊扫描；本发明实施例，获取到规划文档中的关键词之后，采用数据库存放关键词。
在一个可选实施例中，获取规划文档中的业务信息，转化为规划逻辑需要的表格数据，生成最终可用于导入规划逻辑的数据包括：
步骤1，工程师打开规划逻辑，使用软件接口打开规划文档，此时规划逻辑会安装一个扫描插件，扫描规划文档的关键词；规划文档可以是word/PDF格式。
步骤2，扫描插件默认优先自动扫描文档，并根据数据字典中提供的关键词将规划文档中提出的网络限制扫描出来并以颜色标明，同时，还提供了自定义扫描方式和全文模糊搜索方式。
扫描完成，由工程师进行确认，确认后，导入到规划逻辑，作为网络规划的预置条件；预置条件包括但不限于：网络基本参数、限制条件、网络规模和/或站点距离等。
步骤3，在规划文档中选择拓扑图相关内容，然后根据实际情况在插件中选择表格扫描或图片扫描，将拓扑图的内容扫描为规划逻辑使用的规范拓扑图表格，最终导入到规划逻辑成为网络拓扑。相关操作可以通过接收外部指令实施。
如果是表格扫描，则由工程师选择扫描区域，并将表格中的分类信息填写为规划逻辑可以识别的文字，扫描出的拓扑图表格可以给出综合结果，确保好规划文档中一致。
如果是图片扫描，则由工程师手动截取规划文档中的图片，与规划逻辑 中的图片库进行对比，扫描出包括但不限于网络中的网元信息、网元名称信息、坐标信息、光纤信息等；
步骤4，将以上信息都导入到规划逻辑中，并配合相应的产品规划文档，完成网络的初始化规划设置。
识别关键词的方式多种多样，步骤1中是软件自动扫描识别关键词，在其他的实施例中，也可以是人工提取关键词。
工程师拿到用户的规划文档或相关的规划文档，准备进行网络规划，此时工程师先自己对规划文档进行阅读、了解。然后，在一个可选实施例中，获取规划文档中的业务信息，转化为规划逻辑需要的表格数据，生成最终可用于导入规划逻辑的数据包括：
步骤a，工程师在阅读该文档时提取关键词，并将关键词存在插件的数据库中；
步骤b，提取完成后，将提取出来的关键词放入规划逻辑中与数据字典定义的关键词进行匹配，作为网络规划的预置条件；预置条件包括但不限于：网络基本参数、限制条件、网络规模、站点距离等；
步骤c，工程师在规划文档中选择规范拓扑图相关内容，然后根据实际情况在插件中选择表格扫描或图片扫描，将规范拓扑图的内容扫描为规划逻辑使用的拓扑图表格，最终导入到规划逻辑成为网络拓扑；
步骤d，如果是表格扫描，则由工程师手动选择扫描区域，并将表格中的分类信息填写为规划逻辑可以识别的文字，扫描出的拓扑图表格可以给出综合结果，确保好规划文档中一致；
步骤e，如果是图片扫描，则由工程师手动截取规划文档中的图片，与规划逻辑中的图片库进行对比，扫描出包括但不限于网络中的网元信息、网元名称信息、坐标信息、光纤信息等；
步骤f，将以上信息都导入到规划逻辑中，并配合相应的产品规划文档，完成网络的初始化设置。
在一个应用场景中，要求建设北京到上海的国家干线网络，给出的规划文档/规划文档中要求：一共10个站点；不允许使用大功率放大单元；业务 必须使用具有电交叉技术的业务；提供了双向业务走向的表格，类似：A-B，第一波，B-C，第二波；以及，图片化的组网图，组网图包括站点名称，站点类型，公里数，拓扑图。基于所提出的要求，应用各个实施例提供的技术，实现网络规划的过程包括：
步骤1，启动规划逻辑，借助规划逻辑中具有的关键词扫描插件启动word/pdf软件，阅读规划文档；
步骤2，将规划文档中的关键词“不允许使用大功率放大单元”、“电交叉业务”提取至关键词扫描插件，与关键词扫描插件具有的数据字典进行匹配，生成规划逻辑使用的规范关键词“不允许使用大功率放大单板”、“使用电交叉业务”，将规范关键词导入规划逻辑中作为预置条件。
步骤3，为防止遗漏关键词，对规划文档进行全文扫描，全文扫描时调用数据字典中存在的通用数据，例如数据字典中内置：中国移动规划文档通用关键词--此信息可以来自过往中国移动发布的规划文档。
扫描完成后，给出搜索结果，以特殊颜色在规划文档中标示出来，由工程师进行确认，确认后导入规划逻辑，作为预置条件。
步骤4，为防止遗漏关键词，还可以启动自定义检索，输入指定的关键词进行检索，扫描完成后，自定义检索模块给出搜索结果，以特殊颜色在规划文档中标示出来，由工程师进行确认，确认后导入规划逻辑，作为预置条件。
步骤5，为防止遗漏关键词，还可以启动模糊搜索，对数据字典中内置的相近词进行检索，例如放大单板-放大单元，扫描完成后，给出搜索结果，以特殊颜色在规划文档中标示出来，由工程师进行确认，确认后导入规划逻辑，作为预置条件。
步骤6，基于步骤2～步骤5中的结果，创建网络选择模型时，规划逻辑默认不显示所有大功率放大单板和不支持电交叉的单板。
到此，预置条件完成。
完成预置条件后，扫描规划文档中的业务表格和初始拓扑图，生成规划逻辑使用的规范拓扑图。
步骤7，表格扫描，手动选择扫描区域，将表格中的分类信息填写为规划逻辑可以识别的文字，扫描出的拓扑图表格可以给出综合结果，确保与规划文档中的一致。
步骤8，图片扫描，手动截取规划文档中的图片，与规划逻辑中的图片库进行对比，扫描出包括但不限于网络中的网元信息、网元名称信息、坐标信息和光纤信息等。
通过智能分析功能，便可简单的完成网络规划工作。
本发明实施例避免了由指导类文旦造成的网络规划不便实现的问题，简化了网络规划过程，提高了网络规划的效率。
需要说明的是，本发明实施例可以通过服务器实施。
本发明实施例还提供一种计算机存储介质，计算机存储介质中存储有计算机可执行指令，所述计算机可执行指令用于执行上述网络规划的方法。
本发明实施例提供一种实现网络规划的装置，如图2所示，包括：
预置条件单元，设置为获取规划文档中的关键词，根据关键词生成实现网络规划所需的预置条件；
拓扑转化单元，设置为获取规划文档中的初始拓扑图，转化为实现网络规划所需的拓扑数据；
业务转化单元，设置为获取规划文档中的初始业务信息，转化为实现网络规划所需的业务数据；
规划逻辑单元，设置为根据生成的预置条件、拓扑数据和业务数据生成所述网络规划。
在一个可选实施例中，预置条件单元包括：
获取模块，设置为采用所述规划逻辑中的扫描插件在规划文档中进行自动扫描，以获取规划文档中的关键词；所述扫描插件支持包括普通扫描、自定义扫描和模糊扫描；所述关键词包括：普通关键词和/或自定义关键词。
普通搜索模块，设置为在规划文档中搜索到普通关键词，根据所述规划逻辑的数据字典将所述普通关键词转换为所述预置条件；
自定义搜索模块，设置为在规划文档中搜索到自定义关键词，将自定义关键词和数据字典中的已有关键词进行关联，作为所述预置条件；和/或，
模糊搜索模块，设置为根据数据字典中的已有关键词，在规划文档中搜索到同义词或相似词，将同义词或相似词与所述已有关键词进行关联，作为所述预置条件。
可选的，本发明实施例装置预置条件单元还可以包括导入模块，用于将普通关键词、自定义关键词、同义词和相似词导入到数据字典中，作为数据字典的已有关键词，供以后的搜索来使用。
在一个可选实施例中，拓扑转化单元包括：
表格扫描模块，设置为自定义截取所述规划文档中的至少一个表格；
修正处理模块，设置为将截取的表格中的分类信息修正为规划逻辑能够识别的所述拓扑数据。
在一个可选实施例中，拓扑转化单元包括：
图片扫描模块，设置为自定义截取所述规划文档中的至少一个拓扑图存放在数据字典中作为基准拓扑图，根据所述基准拓扑图从规划文档中提取初始拓扑图；
分析模块，设置为分析所述初始拓扑图，以及分析所述数据字典中的拓扑图例，得到初始拓扑图信息和拓扑图例信息；
匹配模块，设置为将所述初始拓扑图信息和拓扑图例信息进行匹配，得到初始拓扑图信息对应的设备数据，将所述设备数据作为规划逻辑能够识别的拓扑数据。
可选的，预置条件单元还包括：
存储模块，设置为获取到规划文档中的关键词之后，采用数据库存放所述关键词。
采用本方案之后的优势是：在现有的条件下，通过智能分析功能，便可 简单的完成网络规划工作。
本领域普通技术人员可以理解上述方法中的全部或部分步骤可通过程序来指令相关硬件(例如处理器)完成，所述程序可以存储于计算机可读存储介质中，如只读存储器、磁盘或光盘等。可选地，上述实施例的全部或部分步骤也可以使用一个或多个集成电路来实现。相应地，上述实施例中的每个模块/单元可以采用硬件的形式实现，例如通过集成电路来实现其相应功能，也可以采用软件功能模块的形式实现，例如通过处理器执行存储于存储器中的程序/指令来实现其相应功能。本发明不限制于任何特定形式的硬件和软件的结合。
虽然本申请所揭露的实施方式如上，但所述的内容仅为便于理解本申请而采用的实施方式，并非用以限定本申请，如本发明实施方式中的具体的实现方法。任何本申请所属领域内的技术人员，在不脱离本申请所揭露的精神和范围的前提下，可以在实施的形式及细节上进行任何的修改与变化，但本申请的专利保护范围，仍须以所附的权利要求书所界定的范围为准。
工业实用性
上述技术方案避免了由指导类文旦造成的网络规划不便实现的问题，简化了网络规划过程，提高了网络规划的效率。

Claims (12)

  1. 一种实现网络规划的方法，所述方法包括：
    获取规划文档中的关键词，根据所述关键词生成实现网络规划所需的预置条件；
    获取规划文档中的初始拓扑图，转化为实现网络规划所需的拓扑数据；
    获取规划文档中的初始业务信息，转化为实现网络规划所需的业务数据；
    根据生成的预置条件、拓扑数据和业务数据由规划逻辑生成所述网络规划。
  2. 根据权利要求1所述的方法，其中，所述获取规划文档中的关键词包括：
    采用所述规划逻辑中的扫描插件在规划文档中进行自动扫描，以获取规划文档中的关键词；所述扫描插件支持包括普通扫描、自定义扫描和模糊扫描；
    所述关键词包括：普通关键词和/或自定义关键词。
  3. 根据权利要求1或2所述的方法，其中，所述生成实现网络规划所需的预置条件包括：
    在规划文档中搜索到普通关键词，当所述规划逻辑的数据字典提供的已有关键词与所述普通关键词匹配成功后，将所述普通关键词转换为所述预置条件；
    在规划文档中搜索到自定义关键词，将自定义关键词和数据字典中的已有关键词进行关联，作为所述预置条件；和/或，根据数据字典中的已有关键词，在规划文档中搜索到同义词或相似词，将同义词或相似词与所述已有关键词进行关联，作为所述预置条件。
  4. 根据权利要求1所述的方法，其中，获取规划文档中的初始拓扑图，转化为网络规划所需的拓扑数据包括：
    自定义截取所述规划文档中的至少一个表格；
    将截取的表格中的分类信息修正为规划逻辑能够识别的所述拓扑数据。
  5. 根据权利要求1、2或4所述的方法，其中，获取规划文档中的初始拓扑图，转化为网络规划所需的拓扑数据包括：
    自定义截取所述规划文档中的至少一个拓扑图存放在数据字典中作为基准拓扑图，根据所述基准拓扑图从规划文档中提取初始拓扑图；
    根据数据字典提供的原始图样，自定义截取所述规划文档中的至少一个初始拓扑图；
    分析所述初始拓扑图信息得到对应的设备数据，将所述设备数据作为规划逻辑能够识别的拓扑数据。
  6. 根据权利要求1或2或4所述的方法，其中，所述方法还包括：
    获取到规划文档中的关键词之后，采用数据库存放获取的所述关键词。
  7. 一种实现网络规划的装置，所述装置包括：
    预置条件单元，设置为获取规划文档中的关键词，根据所述关键词生成实现网络规划所需的预置条件；
    拓扑转化单元，设置为获取规划文档中的初始拓扑图，转化为实现网络规划所需的拓扑数据；
    业务转化单元，设置为获取规划文档中的初始业务信息，转化为实现网络规划所需的业务数据；
    规划逻辑单元，设置为根据生成的预置条件、拓扑数据和业务数据生成所述网络规划。
  8. 根据权利要求7所述的装置，其中，预置条件单元包括：
    获取模块，设置为采用所述规划逻辑中的扫描插件在规划文档中进行自动扫描，以获取规划文档中的关键词；所述扫描插件支持包括普通扫描、自定义扫描和模糊扫描；所述关键词包括：普通关键词和/或自定义关键词；
    普通搜索模块，设置为在规划文档中搜索到普通关键词，根据所述规划逻辑的数据字典将所述普通关键词转换为所述预置条件；
    自定义搜索模块，设置为在规划文档中搜索到自定义关键词，将自定义关键词和数据字典中的已有关键词进行关联，作为所述预置条件；和/或，
    模糊搜索模块，设置为根据数据字典中的已有关键词，在规划文档中搜索到同义词或相似词，将同义词或相似词与所述已有关键词进行关联，作为所述预置条件。
  9. 根据权利要求7所述的装置，其中，拓扑转化单元包括：
    表格扫描模块，设置为自定义截取所述规划文档中的至少一个表格；
    修正处理模块，设置为将截取的表格中的分类信息修正为规划逻辑能够识别的所述拓扑数据。
  10. 根据权利要求7所述的装置，其中，拓扑转化单元包括：
    图片扫描模块，设置为自定义截取所述规划文档中的至少一个拓扑图存放在数据字典中作为基准拓扑图，根据所述基准拓扑图从规划文档中提取初始拓扑图；
    分析模块，设置为分析所述初始拓扑图，以及分析所述数据字典中的拓扑图例，得到初始拓扑图信息和拓扑图例信息；
    匹配模块，设置为将所述初始拓扑图信息和拓扑图例信息进行匹配，得到初始拓扑图信息对应的设备数据，将所述设备数据作为规划逻辑能够识别的拓扑数据。
  11. 根据权利要求7所述的装置，其中，规划逻辑单元包括：
    数据字典单元，设置为提供用于匹配的关联的所述已有关键词；及，用于和规划文档中的图片进行对比分析的拓扑图例。
  12. 根据权利要求7～11任一项所述的装置，所述预置条件单元还包括：
    存储模块，设置为获取到规划文档中的关键词之后，采用数据库存放获取的所述关键词。
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