WO2016091037A1 - 一种技术指标实例生成方法及装置 - Google Patents

一种技术指标实例生成方法及装置 Download PDF

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WO2016091037A1
WO2016091037A1 PCT/CN2015/093831 CN2015093831W WO2016091037A1 WO 2016091037 A1 WO2016091037 A1 WO 2016091037A1 CN 2015093831 W CN2015093831 W CN 2015093831W WO 2016091037 A1 WO2016091037 A1 WO 2016091037A1
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item
requirement
parameter value
instance
technical indicator
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French (fr)
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王万静
虞大联
刘先恺
郭小峰
李恒奎
邓小军
王军
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CRRC Qingdao Sifang Co Ltd
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CRRC Qingdao Sifang Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • the present invention relates to the field of communications technologies, and in particular, to a method and apparatus for generating a technical indicator instance.
  • the vehicle manufacturer needs to artificially decompose the technical indicators of the order into various component modules, such as carrying components, running components, power components, and the like.
  • various component modules such as carrying components, running components, power components, and the like.
  • the designers of the R&D departments corresponding to the respective components develop models that meet the requirements of the technical indicators decomposed to the components based on their own design experience.
  • the method and device for generating technical indicators in the embodiments of the present invention are useful for utilizing the mapping rules between requirements and technical indicators to improve the development efficiency of new models and save development resources.
  • a method for generating a technical indicator instance comprising:
  • the requirement metamodel instance includes a first requirement item and a first parameter value
  • mapping rule from the mapping rule database, where the mapping rule is used to indicate a mapping relationship between the second requirement item and the technical indicator item;
  • the technical indicator item performs an assignment operation to generate an instance of the technical indicator.
  • the mapping rule is obtained by a function calculation formula, where the mapping rule represents a mapping relationship between at least one of the second requirement items and one of the technical indicator items,
  • the indicator item performs an assignment operation to generate an instance of the technical indicator, including:
  • a functional relationship between at least one of the second requirement items and one of the technical indicator items is at least one of a mathematical operation, a relational operation, and a regular function operation.
  • the mapping rule is obtained by empirical statistics, where the mapping rule represents a mapping relationship between an input item instance and an output item instance, and the input item instance includes the second requirement item and the second parameter value The output item instance includes the technical indicator item and the third parameter value, then
  • the indicator item performs an assignment operation to generate an instance of the technical indicator, including:
  • the third parameter value corresponding to the second parameter value is obtained based on the empirical statistics, and the third parameter value is assigned to the technical indicator item to generate the technical indicator instance.
  • An example of the technical indicator instance generating device comprising:
  • a first obtaining unit configured to obtain the requirement metamodel instance, where the requirement metamodel instance includes the first requirement item and the first parameter value;
  • a second acquiring unit configured to acquire the mapping rule from the mapping rule database, where the mapping rule is used to indicate a mapping relationship between the second requirement item and the technical indicator item;
  • a matching unit configured to match the second requirement item by using the first requirement item
  • a generating unit configured to perform an assignment operation on the technical indicator item by using the first parameter value, and generate the technology, when the first requirement item matches the second requirement item, based on the mapping rule Indicator instance.
  • the mapping rule is obtained by a function calculation formula, where the mapping rule represents a mapping relationship between at least one of the second requirement items and one of the technical indicator items,
  • the matching unit is specifically configured to match the at least one second requirement item by using at least one of the first requirement items
  • the generating unit is configured to use each of the at least one first requirement item based on the function calculation formula when the at least one first requirement item and the at least one second requirement item are completely matched
  • the first parameter value corresponding to the first requirement item is calculated, the integrated parameter value is calculated, and the integrated parameter value is assigned to the technical indicator item to generate the technical indicator instance.
  • a functional relationship between at least one of the second requirement items and one of the technical indicator items is at least one of a mathematical operation, a relational operation, and a regular function operation.
  • the mapping rule is obtained by empirical statistics, where the mapping rule represents a mapping relationship between the input item instance and one of the output item instances, and the input item instance includes the second requirement item and The second parameter value, where the output item instance includes the technical indicator item and the third parameter value,
  • the matching unit is specifically configured to match the input item instance by using the first requirement item and the first parameter value;
  • the generating unit is specifically configured to: when the first requirement item matches the second requirement item, and the first parameter value matches the second parameter value, obtain the And the third parameter value corresponding to the second parameter value, and assigning the third parameter value to the technical indicator item to generate the technical indicator instance.
  • Method and device for generating technical indicator instances which can establish requirements and technical indicators
  • the mapping rules between the targets in this way, when developing a new model, you can select the appropriate mapping rules according to the development needs, and generate technical indicators based on the mapping rules. In this way, the phenomenon of repeated development in the train development process can be avoided, which helps to improve development efficiency and save development resources.
  • FIG. 1 is a flowchart of a method for generating a technical indicator instance according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of an apparatus for generating an instance of a technical indicator according to an embodiment of the present invention.
  • FIG. 1 a flowchart of a method for generating a technical indicator instance according to an embodiment of the present invention is shown, which may include:
  • mapping rule database where the mapping rule is used to indicate a mapping relationship between the second requirement item and the technical indicator item.
  • the technical indicator item is assigned to generate an instance of the technical indicator.
  • mapping rule between requirements and technical indicators. So, in the new When the model is developed, the appropriate mapping rules can be selected according to the development requirements, and the technical indicator instances can be generated based on the mapping rules. In this way, the phenomenon of repeated development in the train development process can be avoided, which helps to improve development efficiency and save development resources.
  • the metamodel in the embodiment of the present invention refers to an abstraction of various objects included in the spectrum-based high-speed train.
  • the metamodel defines the description and operation method of the specified model. It is an abstract mapping of computer description. It is understandable that the metamodel is the abstraction of the model.
  • the embodiment of the present invention involves the following two aspects of data:
  • the requirement metamodel example includes at least one parameter combination, and each parameter combination includes a first requirement item and a first parameter value corresponding to the first requirement item.
  • the requirement meta-model may be obtained by searching from the demand meta-model database according to the demand data of the new model, or may be created according to the demand data of the new model, and the embodiment of the present invention may not specifically limited.
  • the demand data refers to data related to the development demand of the high-speed train product.
  • the requirements may be embodied in various requirements that the vehicle needs to meet, and may include at least a functional requirement, a performance requirement, a structural requirement, and the like.
  • the requirement data may include at least one of a requirement item name, a demand value type, a demand value range, and a requirement note.
  • the demand data may also include classification attributes. Specifically, the classification attributes may be at least three types: (1) subject demand, that is, environmental demand and/or road network demand, and (2) key demand, that is, structural demand and/or Or performance requirements, (3) passenger demand, that is, functional requirements.
  • the mapping rule is the basis for realizing the conversion of the high-speed train development demand to the technical index, and the corresponding mapping rule can be selected from the mapping rule database based on the high-speed train development requirement, and then the demand meta-model instance is converted into at least one technology. Examples of indicators to achieve the development of new models.
  • the technical index refers to a basic goal that the design of the vehicle should be at least, and may include at least a function index, a performance index, a structural index, a behavior index, and the like, which may not be specifically limited in the embodiment of the present invention.
  • the technical specifications of high-speed trains are design conditions or design requirements that should be met to meet various needs. This demand can come from passengers, operations The various requirements put forward by quotient, environmental conditions, R&D personnel, suppliers, etc., can form a multi-dimensional design constraint on the research and development of high-speed train products. Under this constraint, the technical indicators that high-speed trains should reach should be defined to form high-speed trains.
  • Technical indicators of function, performance and behavior are examples of function, performance and behavior.
  • mapping rule can be embodied in at least two types:
  • the mapping rule obtained by the function calculation formula that is, there is a functional relationship between the second requirement item and the technical indicator item.
  • the function relationship may be at least one of a mathematical operation, a relational operation, and a regular function operation.
  • the mathematical operations can be "+”, “-”, “*”, “/”, “cos”, etc.
  • the rule function can be "Max()", "Min()", and so on.
  • the first requirement item can be used to match the second requirement item of the mapping rule in the mapping rule database one by one. If the first requirement item can match the second requirement item of a mapping rule, the item can be based on the piece.
  • the mapping rule generates an instance of the technical indicator by using the first parameter value.
  • the second requirement item is used as an input item of the mapping rule, which can be represented as X
  • the technical indicator item is used as an output item of the mapping rule, which can be represented as Y
  • the mapping rule may be referred to as a direct mapping. That is to say, in all the demand items of new vehicle development, there may be some demand items with dual characteristics.
  • the so-called dual characteristics means that the demand item belongs to both the demand content and the technical indicator content, and corresponding to the demand item, Generate technical indicator instances by direct mapping.
  • the matching process may be: selecting a first requirement item to be matched from the N first requirement items, and using the first requirement item to be matched to match the M mapping rules one by one to determine whether there is a waiting for the waiting item.
  • the available mapping rule if present, extracts the available mapping rule, and assigns the first parameter value corresponding to the first requirement item to be assigned to the available mapping rule.
  • Technical indicators get examples of technical indicators. So, it is repeated until the first requirement item of each of the N first requirement items is matched, and details are not described herein again.
  • the second requirement item is used as an input item of the mapping rule, which can be represented as X
  • the technical indicator item is used as an output item of the mapping rule, which can be represented as Y
  • the mapping rule may be referred to as a function mapping.
  • the first parameter value corresponding to the first requirement item on the match is calculated, the integrated parameter value is calculated, and the integrated parameter value is assigned to the technical indicator item in the mapping rule to be matched, and the technical indicator instance is obtained. This is repeated until the matching of each mapping rule in the M mapping rules is completed, and details are not described herein again.
  • mapping rule by empirical statistics, the mapping rule representing a mapping relationship between an input item instance and an output item instance, the input item instance including the second requirement item and the second parameter value, the output item instance including the The technical indicator item and the third parameter value.
  • the mapping rule may be referred to as a knowledge mapping.
  • the empirical statistics obtain the mapping rules and the input items correspond one-to-one with the output items, and both have parameter values.
  • the second requirement item or the technical indicator item in the different mapping rules is the same, but the corresponding parameter values must be different.
  • the same second requirement item may correspond to a second parameter value
  • the same technical indicator item may correspond to b third parameter values.
  • a and b are positive integers not less than 2.
  • the matching process in the matching scheme 3 is similar to the matching process in the matching scheme 1. For details, refer to the above description, which will not be described in detail herein. The difference is that in the solution, the first requirement item and the first parameter value are used to match the input item instance, that is, in addition to matching the first requirement item, the first parameter value corresponding to the first requirement item is matched. If only the first requirement item matches the second requirement item, and the first parameter value corresponding to the first requirement item also matches the second parameter value corresponding to the second requirement item, it is considered to match the available mapping rule. After matching the available mapping rules, the third parameter value corresponding to the second parameter value is obtained, and the third parameter value is assigned to the technical indicator item to obtain an instance of the technical indicator. It should be noted that the technical indicator instance is an example of the output item in the available mapping rule.
  • the technical indicator instance may be stored in the technical indicator instance database; or the technical indicator instance may be output in the form of a report or a document, which may not be specifically limited in the embodiment of the present invention.
  • the requirement meta-model may be obtained layer by layer according to the tree data of the vehicle, that is, the requirement meta-model is in a tree structure.
  • different mapping rules may be constructed at different levels when constructing mapping rules, that is, mapping rules also have a tree structure. Therefore, when generating the technical indicator instance, the mapping rule corresponding to the corresponding position on the mapping rule structure tree may be obtained by combining the position of the requirement item on the structure tree of the requirement metamodel, and the technical indicator instance is generated.
  • FIG. 2 a schematic diagram of a technical indicator instance generating apparatus according to an embodiment of the present invention is shown, where the apparatus includes:
  • the first obtaining unit 201 is configured to obtain a requirement metamodel instance, where the requirement metamodel instance includes a first requirement item and a first parameter value;
  • the second obtaining unit 202 is configured to obtain a mapping rule from the mapping rule database, where the mapping rule is used to indicate a mapping relationship between the second requirement item and the technical indicator item;
  • the matching unit 203 is configured to match the second requirement item by using the first requirement item
  • the generating unit 204 is configured to: when the first requirement item matches the second requirement item, perform an assignment operation on the technical indicator item by using the first parameter value to generate a technical indicator according to the mapping rule Example.
  • the mapping rule is obtained by a function calculation formula, where the mapping rule represents a mapping relationship between at least one second requirement item and one technical indicator item,
  • the matching unit is specifically configured to match the at least one second requirement item by using at least one first requirement item
  • the generating unit is configured to: when each of the at least one first requirement item and the at least one second requirement item are completely matched, use each of the at least one first requirement item based on the function calculation formula a first parameter value corresponding to a requirement item, calculating an integrated parameter value, and assigning the integrated parameter value to the technical indicator item to generate the technical indicator instance.
  • the functional relationship between the at least one second requirement item and the one technical indicator item is at least one of a mathematical operation, a relational operation, and a regular function operation.
  • the mapping rule is obtained by empirical statistics, where the mapping rule represents a mapping relationship between an input item instance and an output item instance, and the input item instance includes the second requirement item and the second parameter value The output item instance includes the technical indicator item and the third parameter value, then
  • the matching unit is specifically configured to match the input item instance by using the first requirement item and the first parameter value;
  • the generating unit is specifically configured to: when the first requirement item matches the second requirement item, and the first parameter value matches the second parameter value, obtain the And the third parameter value corresponding to the second parameter value, and assigning the third parameter value to the technical indicator item to generate the technical indicator instance.

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Abstract

一种技术指标实例生成方法及装置，方法包括：获取需求元模型实例，所述需求元模型实例包括第一需求项和第一参数值；从映射规则数据库中获取映射规则，所述映射规则用于表示第二需求项与技术指标项之间的映射关系；利用所述第一需求项匹配所述第二需求项，如果所述第一需求项与所述第二需求项相匹配，则基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成技术指标实例。预先建立需求与技术指标之间的映射规则，便可在进行新车型开发时，根据开发需求，选择合适的映射规则，并基于映射规则生成技术指标实例。这样，就可避免列车开发过程中重复开发的现象，有助于提高开发效率，节省开发资源。

Description

一种技术指标实例生成方法及装置
本申请要求于2014年12月10日提交中国专利局、申请号为201410757866.7、发明名称为“一种技术指标实例生成方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及通信技术领域，具体涉及一种技术指标实例生成方法及装置。
背景技术
在现有的高速列车开发过程中，车辆生产厂商接到订单之后，需要人为将订单的技术指标分解到各个组份模块，如，承载组份、走行组份、动力组份，等等。如此分解之后，再由各组份对应的研发部门的设计人员，根据自身的设计经验，开发出满足分解到该组份的技术指标的要求的车型。
现有的高速列车开发过程，当有新的开发任务时，车辆生产厂商都会重新进行新车型的开发，开发效率低，浪费了大量的人力、物力、财力等资源。
发明内容
本发明实施例的技术指标实例生成方法及装置，有助于利用需求与技术指标之间的映射规则，提高新车型的开发效率，节省开发资源。
为此，本发明实施例提供如下技术方案：
一种技术指标实例生成方法，所述方法包括：
获取需求元模型实例，所述需求元模型实例包括第一需求项和第一参数值；
从映射规则数据库中获取映射规则，所述映射规则用于表示第二需求项与技术指标项之间的映射关系；
利用所述第一需求项匹配所述第二需求项，如果所述第一需求项与所述第二需求项相匹配，则基于所述映射规则，利用所述第一参数值对所述 技术指标项进行赋值操作，生成所述技术指标实例。
可选地，通过函数计算公式获得所述映射规则，所述映射规则表示至少一个所述第二需求项与一个所述技术指标项之间的映射关系，则
利用所述第一需求项匹配所述第二需求项，如果所述第一需求项与所述第二需求项相匹配，则基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成所述技术指标实例，包括：
利用至少一个所述第一需求项匹配至少一个所述第二需求项，如果至少一个所述第一需求项与至少一个所述第二需求项完全匹配，则基于所述函数计算公式，利用至少一个所述第一需求项中每个所述第一需求项对应的所述第一参数值，计算综合参数值，并将所述综合参数值赋值给所述技术指标项，生成所述技术指标实例。
可选地，所述函数计算公式中，至少一个所述第二需求项与一个所述技术指标项之间的函数关系为：数学运算、关系运算、规则函数运算中的至少一个。
可选地，通过经验统计获得所述映射规则，所述映射规则表示一个输入项实例与一个输出项实例之间的映射关系，所述输入项实例包括所述第二需求项和第二参数值，所述输出项实例包括所述技术指标项和第三参数值，则
利用所述第一需求项匹配所述第二需求项，如果所述第一需求项与所述第二需求项相匹配，则基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成所述技术指标实例，包括：
利用所述第一需求项和所述第一参数值匹配所述输入项实例，如果所述第一需求项与所述第二需求项相匹配，且所述第一参数值与所述第二参数值相匹配，则基于所述经验统计，获得所述第二参数值对应的第三参数值，并将所述第三参数值赋值给所述技术指标项，生成所述技术指标实例。
一种所述技术指标实例生成装置，所述装置包括：
第一获取单元，用于获取所述需求元模型实例，所述需求元模型实例包括所述第一需求项和所述第一参数值；
第二获取单元，用于从所述映射规则数据库中获取所述映射规则，所述映射规则用于表示所述第二需求项与所述技术指标项之间的映射关系；
匹配单元，用于利用所述第一需求项匹配所述第二需求项；
生成单元，用于在所述第一需求项与所述第二需求项相匹配时，基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成所述技术指标实例。
可选地，通过函数计算公式获得所述映射规则，所述映射规则表示至少一个所述第二需求项与一个所述技术指标项之间的映射关系，则
所述匹配单元，具体用于利用至少一个所述第一需求项匹配所述至少一个所述第二需求项；
所述生成单元，具体用于在所述至少一个第一需求项与至少一个所述第二需求项完全匹配时，基于所述函数计算公式，利用所述至少一个第一需求项中每个所述第一需求项对应的所述第一参数值，计算所述综合参数值，并将所述综合参数值赋值给所述技术指标项，生成所述技术指标实例。
可选地，所述函数计算公式中，至少一个所述第二需求项与一个所述技术指标项之间的函数关系为：数学运算、关系运算、规则函数运算中的至少一个。
可选地，通过经验统计获得所述映射规则，所述映射规则表示一个所述输入项实例与一个所述输出项实例之间的映射关系，所述输入项实例包括所述第二需求项和所述第二参数值，所述输出项实例包括所述技术指标项和所述第三参数值，则
所述匹配单元，具体用于利用所述第一需求项和所述第一参数值匹配所述输入项实例；
所述生成单元，具体用于在所述第一需求项与所述第二需求项相匹配，且所述第一参数值与所述第二参数值相匹配时，基于所述经验统计，获得所述第二参数值对应的第三参数值，并将所述第三参数值赋值给所述技术指标项，生成所述技术指标实例。
本发明实施例的技术指标实例生成方法及装置，可建立需求与技术指 标之间的映射规则，如此，在进行新车型开发时，便可根据开发需求，选择合适的映射规则，并基于映射规则生成技术指标实例。这样，就可避免列车开发过程中重复开发的现象，有助于提高开发效率，节省开发资源。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请中记载的一些实施例，对于本领域普通技术人员来讲，还可以根据这些附图获得其它的附图。
图1是本发明实施例技术指标实例生成方法的流程图；
图2是本发明实施例技术指标实例生成装置的示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
参见图1，示出了本发明实施例技术指标实例生成方法的流程图，可包括：
101，获取需求元模型实例，所述需求元模型实例包括第一需求项和第一参数值。
102，从映射规则数据库中获取映射规则，所述映射规则用于表示第二需求项与技术指标项之间的映射关系。
103，利用所述第一需求项匹配所述第二需求项，如果所述第一需求项与所述第二需求项相匹配，则基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成技术指标实例。
现有技术进行高速列车开发时，未考虑需求与技术指标之间的映射关系，如此，当有新的开发任务时，车辆生产厂商都会重新进行新车型的开发。本发明实施例建立需求与技术指标之间的映射规则。如此，在进行新 车型开发时，便可根据开发需求，选择合适的映射规则，并基于映射规则生成技术指标实例。这样，就可避免列车开发过程中重复开发的现象，有助于提高开发效率，节省开发资源。
需要说明的是，本发明实施例中的元模型指的是，对谱系化高速列车所包含的各种对象的抽象。元模型定义了规定模型的描述及操作方法，是一种计算机描述的抽象映射，可以理解地，元模型是模型的抽象。
本发明实施例在生成技术指标实例时，涉及以下两方面数据：
(1)需求元模型实例
本发明实施例中，需求元模型实例包括至少一个参数组合，每个参数组合包括第一需求项和该第一需求项对应的第一参数值。
需要说明的是，需求元模型可以是根据新车型的需求数据，从需求元模型数据库中查找获得的，也可以是根据新车型的需求数据，创建获得的，本发明实施例对此可不做具体限定。本发明实施例中，需求数据指的是，与高速列车产品开发需求相关的数据。通常，需求可以体现为车辆需要满足的各种要求，至少可包括功能需求、性能需求、结构需求等等，本发明实施例对此可不做具体限定。本发明实施例中，需求数据至少可包括：需求项名称、需求值类型、需求值范围、需求备注中的至少一个。此外，需求数据还可包括分类属性，具体地，分类属性至少可体现为以下三种：(1)主体需求，即环境需求和/或路网需求，(2)关键需求，即结构需求和/或性能需求，(3)旅客需求，即功能需求。
(2)映射规则
本发明实施例中，映射规则是实现高速列车开发需求向技术指标转换的基础，可以基于高速列车开发需求，从映射规则数据库中选择对应的映射规则，进而将需求元模型实例转换为至少一个技术指标实例，实现新车型的开发。
本发明实施例中，技术指标指的是，车辆的设计所应达到的基本目标，至少可包括功能指标、性能指标、结构指标、行为指标等等，本发明实施例对此可不做具体限定。可以理解地，高速列车的技术指标是为了适应各种需求而应达到的设计条件或设计要求。这种需求可以来自于旅客、运营 商、环境条件、研发人员、供应商等提出的各种要求，需求可以形成对高速列车产品研发的多维设计约束，在该约束下定义出高速列车所应达到的技术指标，形成能表达高速列车功能、性能和行为的技术指标。
本发明实施例中，映射规则至少可体现为两种类型：
(1)通过函数计算公式获得的映射规则，即，第二需求项与技术指标项之间存在函数关系。举例来说，函数关系可以为数学运算、关系运算、规则函数运算中的至少一个。其中，数学运算可以为“+”、“-”、“*”、“/”、“cos”等等，关系运算可以为“＝”、“<”、“>”、“()”、“[]”、“{}”等等，规则函数可以为“Max()”、“Min()”等等。
(2)通过经验统计获得的映射规则，即，第二需求项与技术指标项之间不存在明确的函数关系，但可利用经验统计，建立硬性关联。举例来说，经验统计可以为设计人员的经验知识、相关标准的规定、仿真数据等等。
如此，便可利用第一需求项，逐个与映射规则数据库中映射规则的第二需求项进行匹配，如果第一需求项能与某条映射规则的第二需求项相匹配，则可基于该条映射规则，利用第一参数值生成技术指标实例。
本发明实施例，提供了如下三种匹配方案，下面一一进行解释说明。
匹配方案一
通过函数计算公式获得映射规则，且第二需求项与技术指标项之间的函数关系为“＝”，即，映射规则中的第二需求项与技术指标项相同。将第二需求项作为映射规则的输入项，可表示为X，将技术指标项作为映射规则的输出项，可表示为Y，映射规则可表示为Y＝X。本发明实施例中，可将该映射规则称为直接映射。即，在新车型开发的所有需求项中，可能存在部分具有双重特性的需求项，所谓双重特性指的是，该需求项既属于需求内容，又属于技术指标内容，对应这种需求项，可通过直接映射的方式，生成技术指标实例。
假设，映射规则数据库中存储有M条映射规则，需求元模型包括N个参数组合，即，包括N个第一需求项和N个第一参数值。作为一种示例，匹配过程可为：从N个第一需求项中选取一个待匹配第一需求项，利用该待匹配第一需求项逐个匹配M条映射规则，判断其中是否存在针对该待匹 配第一需求项来说，可用的映射规则，如果存在，则可将该可用的映射规则提取出来，并将待匹配第一需求项对应的第一参数值，赋值给该可用的映射规则中的技术指标项，得到技术指标实例。如此往复，直至对N个第一需求项中的每个第一需求项完成匹配为止，此处不再赘述。
匹配方案二
通过函数计算公式获得映射规则，第二需求项与技术指标项之间的函数关系为“＝”之外的其它函数关系。将第二需求项作为映射规则的输入项，可表示为X，将技术指标项作为映射规则的输出项，可表示为Y，映射规则可表示为Y＝f(X1,X2,…,Xk)。本发明实施例中，可将该映射规则称为函数映射。
假设，映射规则数据库中存储有M条映射规则，需求元模型包括N个参数组合，即，包括N个第一需求项和N个第一参数值。作为一种示例，匹配过程可为：从M条映射规则中选取一条作为待匹配映射规则，利用该待匹配映射规则中的输入项匹配N个第一需求项，判断能否匹配上输入项包括的所有第二需求项，如果所有第二需求项都能被匹配上，则认定该待匹配映射规则为可用的映射规则，可以Y＝f(X1,X2,…,Xk)为基础，利用每个匹配上的第一需求项对应的第一参数值，计算综合参数值，并将综合参数值赋值给待匹配映射规则中的技术指标项，得到技术指标实例。如此往复，直至对M条映射规则中的每条映射规则完成匹配为止，此处不再赘述。
匹配方案三
通过经验统计获得映射规则，映射规则表示一个输入项实例与一个输出项实例之间的映射关系，所述输入项实例包括所述第二需求项和第二参数值，所述输出项实例包括所述技术指标项和第三参数值。本发明实施例中，可将该映射规则称为知识映射。
经验统计获得映射规则中输入项与输出项一一对应，且均带有参数值。某种情况下，不同映射规则中的第二需求项或技术指标项是相同的，但对应的参数值一定不同。例如，同一个第二需求项可能对应有a个第二参数值，同一个技术指标项可能对应有b个第三参数值，如此情况下，即使映 射规则包括的第二需求项或技术指标项相同，但也属于不同的映射规则。其中，a和b为不小于2的正整数。
匹配方案三中的匹配过程与匹配方案一中的匹配过程相似，具体可参照上文所做介绍，此处不再详述。所不同的是，本方案中是利用第一需求项和第一参数值来匹配输入项实例，即，除了要匹配第一需求项之外，还要匹配第一需求项对应的第一参数值，只有第一需求项与第二需求项匹配，且第一需求项对应的第一参数值与第二需求项对应的第二参数值也匹配时，才认为匹配到可用的映射规则。匹配到可用的映射规则后，便可获得第二参数值对应的第三参数值，并将第三参数值赋值给技术指标项，得到技术指标实例。需要说明的是，技术指标实例即为该可用映射规则中的输出项实例。
可选地，生成技术指标实例后，可将技术指标实例存储至技术指标实例数据库；或者，可将技术指标实例以报表或文档形式输出，本发明实施例对此可不做具体限定。
可选地，需求元模型可以为依据车辆的结构树数据，逐层构建获得的，即，需求元模型呈树状结构。基于此，在构建映射规则时，不同层级可能会构建不同的映射规则，即，映射规则也呈树状结构。因此，在生成技术指标实例时，可以结合需求项在需求元模型结构树上的位置，获得对应于映射规则结构树上相应位置的映射规则，生成技术指标实例。
参见图2，示出了本发明实施例技术指标实例生成装置的示意图，所述装置包括：
第一获取单元201，用于获取需求元模型实例，所述需求元模型实例包括第一需求项和第一参数值；
第二获取单元202，用于从映射规则数据库中获取映射规则，所述映射规则用于表示第二需求项与技术指标项之间的映射关系；
匹配单元203，用于利用所述第一需求项匹配所述第二需求项；
生成单元204，用于在所述第一需求项与所述第二需求项相匹配时，基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成技术指标实例。
可选地，通过函数计算公式获得所述映射规则，所述映射规则表示至少一个第二需求项与一个技术指标项之间的映射关系，则
所述匹配单元，具体用于利用至少一个第一需求项匹配所述至少一个第二需求项；
所述生成单元，具体用于在所述至少一个第一需求项与所述至少一个第二需求项完全匹配时，基于所述函数计算公式，利用所述至少一个第一需求项中每个第一需求项对应的第一参数值，计算综合参数值，并将所述综合参数值赋值给所述技术指标项，生成所述技术指标实例。
可选地，所述函数计算公式中，所述至少一个第二需求项与所述一个技术指标项之间的函数关系为：数学运算、关系运算、规则函数运算中的至少一个。
可选地，通过经验统计获得所述映射规则，所述映射规则表示一个输入项实例与一个输出项实例之间的映射关系，所述输入项实例包括所述第二需求项和第二参数值，所述输出项实例包括所述技术指标项和第三参数值，则
所述匹配单元，具体用于利用所述第一需求项和所述第一参数值匹配所述输入项实例；
所述生成单元，具体用于在所述第一需求项与所述第二需求项相匹配，且所述第一参数值与所述第二参数值相匹配时，基于所述经验统计，获得所述第二参数值对应的第三参数值，并将所述第三参数值赋值给所述技术指标项，生成所述技术指标实例。
需要说明的是，本说明书中的各个实施例均采用递进的方式描述，各个实施例之间相同相似的部分互相参见即可，每个实施例重点说明的都是与其他实施例的不同之处。尤其，对于装置实施例而言，由于其基本相似于方法实施例，所以描述得比较简单，相关之处参见方法实施例的部分说明即可。以上所描述的装置实施例仅仅是示意性的，其中作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现 本实施例方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
以上所述仅是本发明的可选实施方式，并非用于限定本发明的保护范围。应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以作出若干改进和润饰，这些改进和润饰也应视为本发明的保护范围。

Claims (8)

  1. 一种技术指标实例生成方法，其特征在于，所述方法包括：
    获取需求元模型实例，所述需求元模型实例包括第一需求项和第一参数值；
    从映射规则数据库中获取映射规则，所述映射规则用于表示第二需求项与技术指标项之间的映射关系；
    利用所述第一需求项匹配所述第二需求项，如果所述第一需求项与所述第二需求项相匹配，则基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成所述技术指标实例。
  2. 根据权利要求1所述的方法，其特征在于，通过函数计算公式获得所述映射规则，所述映射规则表示至少一个所述第二需求项与一个所述技术指标项之间的映射关系，则
    利用所述第一需求项匹配所述第二需求项，如果所述第一需求项与所述第二需求项相匹配，则基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成所述技术指标实例，包括：
    利用至少一个所述第一需求项匹配至少一个所述第二需求项，如果至少一个所述第一需求项与至少一个所述第二需求项完全匹配，则基于所述函数计算公式，利用至少一个所述第一需求项中每个所述第一需求项对应的所述第一参数值，计算综合参数值，并将所述综合参数值赋值给所述技术指标项，生成所述技术指标实例。
  3. 根据权利要求2所述的方法，其特征在于，所述函数计算公式中，至少一个所述第二需求项与一个所述技术指标项之间的函数关系为：数学运算、关系运算、规则函数运算中的至少一个。
  4. 根据权利要求1所述的方法，其特征在于，通过经验统计获得所述映射规则，所述映射规则表示一个输入项实例与一个输出项实例之间的映射关系，所述输入项实例包括所述第二需求项和第二参数值，所述输出项实例包括所述技术指标项和第三参数值，则
    利用所述第一需求项匹配所述第二需求项，如果所述第一需求项与所述第二需求项相匹配，则基于所述映射规则，利用所述第一参数值对所 述技术指标项进行赋值操作，生成所述技术指标实例，包括：
    利用所述第一需求项和所述第一参数值匹配所述输入项实例，如果所述第一需求项与所述第二需求项相匹配，且所述第一参数值与所述第二参数值相匹配，则基于所述经验统计，获得所述第二参数值对应的所述第三参数值，并将所述第三参数值赋值给所述技术指标项，生成所述技术指标实例。
  5. 一种所述技术指标实例生成装置，其特征在于，所述装置包括：
    第一获取单元，用于获取所述需求元模型实例，所述需求元模型实例包括所述第一需求项和所述第一参数值；
    第二获取单元，用于从所述映射规则数据库中获取所述映射规则，所述映射规则用于表示所述第二需求项与所述技术指标项之间的映射关系；
    匹配单元，用于利用所述第一需求项匹配所述第二需求项；
    生成单元，用于在所述第一需求项与所述第二需求项相匹配时，基于所述映射规则，利用所述第一参数值对所述技术指标项进行赋值操作，生成所述技术指标实例。
  6. 根据权利要求5所述的装置，其特征在于，通过函数计算公式获得所述映射规则，所述映射规则表示至少一个所述第二需求项与一个所述技术指标项之间的映射关系，则
    所述匹配单元，具体用于利用至少一个所述第一需求项匹配至少一个所述第二需求项；
    所述生成单元，具体用于在所述至少一个第一需求项与至少一个所述第二需求项完全匹配时，基于所述函数计算公式，利用所述至少一个第一需求项中每个所述第一需求项对应的所述第一参数值，计算所述综合参数值，并将所述综合参数值赋值给所述技术指标项，生成所述技术指标实例。
  7. 根据权利要求6所述的装置，其特征在于，所述函数计算公式中，至少一个所述第二需求项与一个所述技术指标项之间的函数关系为：数学运算、关系运算、规则函数运算中的至少一个。
  8. 根据权利要求5所述的装置，其特征在于，通过经验统计获得所述映射规则，所述映射规则表示一个所述输入项实例与一个所述输出项实例之间的映射关系，所述输入项实例包括所述第二需求项和第所述二参数值，所述输出项实例包括所述技术指标项和所述第三参数值，则
    所述匹配单元，具体用于利用所述第一需求项和所述第一参数值匹配所述输入项实例；
    所述生成单元，具体用于在所述第一需求项与所述第二需求项相匹配，且所述第一参数值与所述第二参数值相匹配时，基于所述经验统计，获得所述第二参数值对应的所述第三参数值，并将所述第三参数值赋值给所述技术指标项，生成所述技术指标实例。
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