WO2016165317A1 - 一种高速列车需求数据实例构建方法和装置 - Google Patents
一种高速列车需求数据实例构建方法和装置 Download PDFInfo
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- the invention relates to the technical field of high-speed trains, in particular to a method and a device for constructing an example of high-speed train demand data.
- the high-speed train is a train with faster speeds based on the existing diesel locomotives, electric locomotives and railways, which are improved on the power system, the traveling system, the cabin shape and the rail system.
- the high-speed train demand data is a collection of specific requirements for all high-speed train products that are collected by customers. It is an important basis for guiding product design, and provides relevant filling templates for new customers or customers' new orders. Guide customers to complete the generation of new orders.
- the source of demand data is mainly related to the operating environment of the high-speed train, the operating line, and the critical requirements required by the customer and the functional requirements required by the passenger.
- the vehicle manufacturer After the vehicle manufacturer receives the order, it is necessary to artificially decompose the technical indicators of the order, and decompose it into individual component modules, such as a load component, a walking component, and a vehicle body component, and then each group.
- the corresponding R&D department will correspond to the technical indicators, and the designers will convert the indicators into demand data according to their own design experience and according to the requirements of technical indicators.
- the present invention discloses a method and a device for constructing a high-speed train demand data instance, which can construct a demand data instance through a pre-established demand meta-model, effectively improve the collection and design efficiency of the demand data, and effectively improve the high-speed train. Development efficiency, reducing manpower and resource waste.
- a high speed train demand data instance construction and processing method comprising:
- the demand meta-model has a corresponding relationship with a structure of the high-speed train, the demand meta-model includes a demand object, an object attribute, and attribute-related information; the object attribute includes a subject attribute, One or more of a key attribute, a passenger attribute, and a quality constraint attribute; the attribute association information includes one or more of a membership relationship, an inclusion relationship, and an ownership relationship;
- An operation corresponding to the instruction is performed on the demand instance database in response to an instruction to invoke the demand instance database.
- the instance basic information of the requirement object includes one or more of an instance name, a serial number, a description information, a creation time, a creation source, and a creator information.
- performing the operation corresponding to the instruction on the requirement instance database in response to the instruction of calling the requirement instance database includes any one or more of the following sub-steps:
- performing the operation corresponding to the instruction on the requirement instance database in response to the instruction of calling the requirement instance database includes any one or more of the following steps:
- the receiving user's viewing instruction in response to the viewing instruction, invoking data in the demand instance database, displaying the demand instance data corresponding to the viewing instruction includes:
- Receiving the user's view instruction obtaining the demand instance data corresponding to the identifier according to the identifier of the requirement data instance included in the view instruction, and displaying the demand instance data in a tabular manner.
- a high speed train demand data instance construction and processing apparatus comprising:
- An obtaining module configured to obtain a pre-established demand meta-model; wherein the demand meta-model has a corresponding relationship with a structure of the high-speed train, the demand meta-model includes a demand object, an object attribute, and attribute-related information;
- the attribute includes one or more of a subject attribute, a key attribute, a passenger attribute, and a quality constraint attribute;
- the attribute association information includes one or more of a membership relationship, an inclusion relationship, and an ownership relationship;
- a determining module configured to determine instance basic information of the requirement object according to the requirement object corresponding to the requirement metamodel
- An instance construction module configured to perform an assignment operation on an object attribute and attribute association information of the requirement object corresponding to the requirement metamodel to obtain an instance of the requirement data corresponding to the requirement object;
- a database generating module configured to save the obtained each required data instance in a database to generate a demand instance database
- a processing module configured to perform an operation corresponding to the instruction on the requirement instance database in response to an instruction that invokes the requirement instance database.
- the instance basic information of the requirement object includes one or more of an instance name, a serial number, a description information, a creation time, a creation source, and a creator information.
- processing module includes any one or more of the following submodules:
- the modifying submodule is configured to receive a modification instruction of the user, and modify the requirement instance data corresponding to the modification instruction by calling data in the requirement instance database in response to the modification instruction;
- Deleting a sub-module configured to receive a deletion instruction of the user, and in response to the deleting instruction, calling the data in the requirement instance database to delete the requirement instance data corresponding to the deletion instruction;
- the update submodule is configured to receive an update instruction of the user, and update the demand instance data corresponding to the update instruction by calling data in the requirement instance database in response to the update instruction.
- processing module further includes any one or more of the following submodules:
- the viewing submodule is configured to receive a viewing instruction of the user, and invoke the data in the requirement instance database in response to the viewing instruction to display the requirement instance data corresponding to the viewing instruction;
- a retrieval submodule configured to receive a retrieval instruction of the user, and search for the data of the demand instance database in response to the retrieval instruction, and display the search result;
- an output submodule configured to receive an output instruction of the user, and obtain data of the demand instance database in response to the output instruction, and output the data.
- viewing submodule is specifically configured to:
- the beneficial effects that can be achieved by the present invention are: in the method for establishing and processing the high-speed train demand data provided by the present invention, using the pre-established demand meta-model to obtain the demand data by performing an assignment operation on the object attribute and the attribute-related information of the demand object.
- An instance, and the demand instance database is constructed using the retrieved demand instance data, and an operation corresponding to the instruction may be performed on the demand instance database in response to an instruction to invoke the demand instance database. Since the present invention constructs a demand data instance using a pre-established demand meta-model, the structures of the high-speed train, The components all have corresponding demand meta-models.
- FIG. 1 is a schematic flowchart of a method for establishing and processing an instance of a high-speed train demand data according to an embodiment of the present invention
- FIG. 2 is a schematic diagram showing an example of a high-speed train structure tree according to an embodiment of the present invention
- FIG. 3 is a schematic diagram of a train level meta-model provided by an embodiment of the present invention.
- FIG. 4 is a schematic diagram of a demand component model of a running component according to an embodiment of the present invention.
- FIG. 5 is a schematic diagram of an example of creating demand data according to an embodiment of the present invention.
- FIG. 6 is a schematic diagram of a visualization function of a requirement instance provided by an application scenario according to an embodiment of the present invention.
- FIG. 7 is a schematic diagram of an example of constructing and processing a high speed train demand data according to an embodiment of the present invention.
- the invention discloses a method and a device for constructing a high-speed train demand data instance, which can construct a demand data instance through a pre-established demand meta-model, effectively improve the collection and design efficiency of the demand data, and effectively improve the development efficiency of the high-speed train and reduce the manpower. And waste of resources.
- FIG. 1 is a schematic flowchart of a method for establishing and processing an instance of a high-speed train demand data according to an embodiment of the present invention.
- S101 Acquire a pre-established requirement meta-model; wherein the demand meta-model has a corresponding relationship with a structure of the high-speed train, the demand meta-model includes a requirement object, an object attribute, and attribute-related information; the object attribute includes a subject One or more of an attribute, a key attribute, a passenger attribute, and a quality constraint attribute; the attribute association information includes one or more of a membership relationship, an inclusion relationship, and an ownership relationship.
- the requirement metamodel can be created in advance.
- the demand metamodel may also be referred to as a demand data metamodel for representing a model of demand data.
- the demand metamodel is based on a high speed train tree.
- the high-speed train tree is established based on the structure of the high-speed train, different high-speed train types correspond to different high-speed train structures, and different high-speed train structures correspond to different high-speed train trees.
- the vehicle structure tree instance can be dynamically formed to generate a high-speed train tree database.
- the high-speed train structure tree complete data corresponding to the high-speed train is first acquired.
- the high-speed train tree can be retrieved by the identification, type or name of the high-speed train.
- 2 is a schematic diagram of an example of a high speed train tree according to an embodiment of the present invention.
- the high-speed train tree can be constructed layer by layer according to the train, vehicle, component (component), components, sub-components, parts, etc., and a certain level includes different components.
- the train is at the highest level, the vehicle corresponds to a certain section or a certain number of compartments, and the components (components) include the bearing component, the running component or the vehicle body component.
- a component may in turn include different component layers, which in turn may include sub-component layers and the like.
- the vehicle 01 includes a bearing component 01 and a running component 02.
- the bearing component 01 further includes a vehicle body structure 01, a head structure 02, a vehicle body section 03, a vehicle body attachment structure 04, and the like.
- Each component layer can in turn comprise different subcomponents, as shown in Figure 2.
- the high-speed train tree can also be constructed according to other methods, which is not limited by the present invention, as long as the constructed high-speed train tree can correspond to the structure of the high-speed train.
- the requirement metamodel includes three elements: a requirement object, an object attribute (also called a requirement attribute), and attribute association information (also called a relationship).
- the high-speed train demand metamodel can be represented by a triplet:
- ⁇ Object> represents the requirement object
- ⁇ Property> represents the object attribute
- ⁇ Association> represents the attribute association information.
- the demand object may include one or more of a train, a vehicle, a component, a component, a sub-assembly, and a part.
- the object attribute may include related requirement attributes of different product levels of the high-speed train, and may specifically include one or more of a subject attribute, a key attribute, a passenger attribute, and a quality constraint attribute.
- the subject demand attribute includes road network attribute and environment attribute); the key requirement attribute mainly corresponds to performance attribute and structural attribute; the passenger demand attribute may include functional attribute, performance attribute, constraint attribute; quality constraint attribute (English full name is Total Quality Control, The English abbreviation for TQC) attributes can include attribute requirements such as quality, delivery date, process, and service personnel.
- the attribute association information may also be referred to as relationship information for describing various relationship information between the object attributes, mainly including the relationship between the design objects, that is, the relationship between the high-speed train product level objects, the relationship between the attributes, and the design. The relationship between objects and attributes.
- the association relationship may include one or more of a membership relationship, an inclusion relationship, and an ownership relationship.
- a demand metamodel corresponding to the demand data instance is first obtained. For example, when a train demand data instance is created, a train demand metamodel is obtained. When a demand data instance of a component or component is created, a demand metamodel corresponding to the component or component is obtained. For example, when creating a walking component instance, the walking component metamodel is obtained.
- FIG. 3 is a schematic diagram of a train level meta-model provided by an embodiment of the present invention
- FIG. 4 is a schematic diagram of a running component requirement meta-model provided by an embodiment of the present invention. It should be noted that the demand data instances can be created hierarchically, and multiple components or instances of the components can form an instance of the vehicle model, which is derived from the direct addition of the actual vehicle model or the assignment of the product metamodel.
- the instance basic information of the requirement object may include one or more of an instance name, a serial number, description information, a creation time, a creation source, a creator information, and priority information.
- the present invention is not limited thereto, and those skilled in the art can flexibly set as needed.
- the data of the requirement meta-model and the single-structure node corresponding to the demand meta-model may be assigned one by one to obtain corresponding demand data instances.
- the request metamodel data assignment operation corresponding to a certain structural node may further include performing an assignment operation on the requirement object, the object attribute, and the attribute association information to obtain an instance of the requirement data corresponding to the requirement object.
- the train demand meta-model shown in FIG. 3 when the train demand data instance is created, all the object attributes of the train and the attribute-related information may be assigned to obtain the train demand data instance. For example, selecting a requirement item and adding a specific value of the requirement item will result in an instance of the demand data.
- the train demand object is selected, and the design speed attribute is assigned as a demand item, for example, the design speed is assigned to 300 Km/h; and if the wind strength in the subject attribute is assigned a high value or a specific numerical range, An instance of the requirement data was created. It should be noted that if the same requirement metamodel is given different values, different demand data instances are created.
- FIG. 5 is a schematic diagram of an example of creating requirement data according to an embodiment of the present invention.
- the A area in the figure is used to add the basic information of an instance; the B area is used to display the existing instance; the C area is used to add the value of the requirement item in a specific instance; and the D area is used to fill in a specific The value of the item.
- the requirement metamodel database is constructed according to the established examples of the required data.
- the demand instance database can be called to perform corresponding design and development work.
- S105 Perform an operation corresponding to the instruction on the requirement instance database in response to an instruction that invokes the requirement instance database.
- the performing the operation corresponding to the instruction to the requirement instance database in response to the instruction that invokes the requirement instance database includes any one or more of the following sub-steps:
- the modification instruction, the deletion instruction, or the update instruction of the user may include the identification information of the requirement data instance.
- the requirement instance data corresponding to the identifier is obtained, and the demand instance data is already obtained. Make the corresponding modification, deletion or update processing.
- the performing the operation corresponding to the instruction to the requirement instance database in response to the instruction that invokes the requirement instance database includes any one or more of the following sub-steps:
- the receiving user's viewing instruction, in response to the viewing instruction, invoking data in the demand instance database, displaying the demand instance data corresponding to the viewing instruction includes: receiving a user's viewing instruction, according to the requirements included in the viewing instruction
- the identifier of the data instance obtains the demand instance data corresponding to the identifier, and displays the demand instance data in a tabular manner.
- the receiving user's retrieval instruction in response to the retrieval instruction searching for data of the demand instance database, displaying the search result includes: receiving a retrieval instruction of the user, and obtaining an identifier according to the identifier of the demand data instance included in the retrieval instruction.
- the demand instance data corresponding to the identifier is displayed, and the demand instance data is displayed in a tabular manner.
- the receiving user's output instruction in response to the output instruction acquiring data of the demand instance database, outputting the data includes: receiving an output instruction of the user, and obtaining, according to the identifier of the demand data instance included in the output instruction, The identifier corresponding to the instance data is output, and the demand instance data is output.
- the present invention can conveniently and ergonomically manage the set demand metamodel data and the demand data instance for the data management personnel, including the structural tree level of the requirement metamodel and the corresponding requirement metamodel of the single structural node.
- the demand metamodel data is scalable and dynamic, and allows the designer to monitor and maintain the required metamodel data.
- the modification and deletion of the requirement metamodel only affects the subsequent requirement metamodel instance, and does not affect the previous requirement metamodel example.
- the present invention can also store the required demand data instance into the demand instance database through the created requirement meta model and the requirement data template, and store the obtained demand data instance into the demand instance database, and dynamically manage the submodule through the demand instance. Management, such as modifying, deleting, and updating demand instance data.
- FIG. 6 is a schematic diagram of a visualization function of a requirement instance provided by an application scenario according to an embodiment of the present invention. Among them, can include:
- (1) Demand data instance viewing function The designer can view the demand instance according to the list and view the information.
- Requirement data instance retrieval function Provides a series of demand instance data through parameter value and instance name information query.
- FIG. 7 is a schematic diagram of an apparatus for constructing and processing an example of high speed train demand data according to an embodiment of the present invention.
- a high speed train demand data example construction and processing apparatus 700 comprising:
- An obtaining module 701 configured to acquire a pre-established demand meta-model; wherein the demand meta-model has a corresponding relationship with a structure of the high-speed train, the demand meta-model includes a demand object, an object attribute, and attribute-related information;
- the object attribute includes one or more of a subject attribute, a key attribute, a passenger attribute, and a quality constraint attribute;
- the attribute association information includes one or more of a membership relationship, an inclusion relationship, and an ownership relationship.
- the determining module 702 is configured to determine instance basic information of the requirement object according to the requirement object corresponding to the requirement meta model.
- the instance construction module 703 is configured to perform an assignment operation on the object attribute and the attribute association information of the requirement object corresponding to the requirement metamodel to obtain an instance of the requirement data corresponding to the requirement object.
- the database generating module 704 is configured to save the acquired each required data instance in a database to generate a demand instance database.
- the processing module 705 is configured to perform an operation corresponding to the instruction on the requirement instance database in response to an instruction that invokes the requirement instance database.
- the instance basic information of the requirement object includes an instance name, a serial number, and description information, Create one or more of time, creation source, and creator information.
- processing module includes any one or more of the following submodules:
- the modifying submodule is configured to receive a modification instruction of the user, and modify the requirement instance data corresponding to the modification instruction by calling data in the requirement instance database in response to the modification instruction;
- Deleting a sub-module configured to receive a deletion instruction of the user, and in response to the deleting instruction, calling the data in the requirement instance database to delete the requirement instance data corresponding to the deletion instruction;
- the update submodule is configured to receive an update instruction of the user, and update the demand instance data corresponding to the update instruction by calling data in the requirement instance database in response to the update instruction.
- processing module further includes any one or more of the following submodules:
- the viewing submodule is configured to receive a viewing instruction of the user, and invoke the data in the requirement instance database in response to the viewing instruction to display the requirement instance data corresponding to the viewing instruction;
- a retrieval submodule configured to receive a retrieval instruction of the user, and search for the data of the demand instance database in response to the retrieval instruction, and display the search result;
- an output submodule configured to receive an output instruction of the user, and obtain data of the demand instance database in response to the output instruction, and output the data.
- viewing submodule is specifically configured to:
- Receiving the user's view instruction obtaining the demand instance data corresponding to the identifier according to the identifier of the requirement data instance included in the view instruction, and displaying the demand instance data in a tabular manner.
- the invention may be described in the general context of computer-executable instructions executed by a computer, such as a program module.
- program modules include routines, programs, objects, components, data structures, and the like that perform particular tasks or implement particular abstract data types.
- the invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are connected through a communication network.
- program modules can be located in both local and remote computer storage media including storage devices.
- the various embodiments in the specification are described in a progressive manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments.
- the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.
- the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
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Abstract
一种高速列车需求数据实例构建和处理方法,包括:获取预先建立的需求元模型;其中,所述需求元模型与所述高速列车的结构具有对应关系,所述需求元模型包括需求对象、对象属性以及属性关联信息;根据所述需求元模型对应的需求对象,确定所述需求对象的实例基础信息;对所述需求元模型对应的需求对象的对象属性和属性关联信息进行赋值操作,以获得所述需求对象对应的需求数据实例;将获取的各需求数据实例保存在数据库中生成需求实例数据库;响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作。该方法有效提高需求数据的采集效率以及高速列车的开发效率,减少人力和资源浪费。
Description
本申请要求于2015年04月17日提交中国专利局、申请号为201510184597.4、发明名称为“一种高速列车需求数据实例构建方法和装置”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。
本发明涉高速列车技术领域,特别是涉及一种高速列车需求数据实例构建方法和装置。
随着交通运输技术的发展,高速列车目前成为铁路运输技术的研究热点。高速列车是在现有的柴油机车、电力机车和铁路的基础上,对动力***、行走***、车厢外形和路轨***等加以改进而得到的一种时速更快的列车。在现有技术的高速列车的设计和开发过程中,首先需要确定需求数据以指导产品设计。其中,高速列车需求数据是通过收集得到的所有有关客户针对高速列车产品的提出的具体要求集合,它是指导产品设计的重要依据,并为新客户或客户的新订单提供出相关的填写模板来引导客户完成新订单的生成。需求数据的收集来源主要与高速列车的运用环境、运行线路以及客户所要求的关键性要求、旅客所需要的功能要求相关联。在现有技术中,当车辆生产厂商接到订单之后,需要人为对订单的技术指标进行分解,分解到各个组分模块,如承载组分、行走组分和车体组分等,之后各组分对应的研发部门将对应的技术指标,设计人员根据自身的设计经验,按照技术指标的要求,将指标对应转化为需求数据。
然而,发明人在实现本发明的过程中发现,由于确定需求数据的来源复杂,现有技术需要花费大量人员和时间人工处理需求数据,造成研发资源的重复浪费,且使研发进度耽搁。此外,大量的人力操作,导致出错概率较大,不能满足快速开发列车的需求。现有并不存在一种有效的需求数据处理方式以解决上述问题。
发明内容
为解决上述技术问题,本发明公开了一种高速列车需求数据实例构建方法和装置,可以通过预先建立的需求元模型构建需求数据实例,有效提高需求数据的采集和设计效率,并有效提高高速列车的开发效率,减少人力和资源浪费。
技术方案如下:
根据本发明实施例的第一方面,公开了一种高速列车需求数据实例构建和处理方法,所述方法包括:
获取预先建立的需求元模型;其中,所述需求元模型与所述高速列车的结构具有对应关系,所述需求元模型包括需求对象、对象属性以及属性关联信息;所述对象属性包括主体属性、关键属性、旅客属性、质量约束属性中的一种或多种;所述属性关联信息包括隶属关系、包含关系、拥有关系中的一种或多种;
根据所述需求元模型对应的需求对象,确定所述需求对象的实例基础信息;
对所述需求元模型对应的需求对象的对象属性和属性关联信息进行赋值操作,以获得所述需求对象对应的需求数据实例;
将获取的各需求数据实例保存在数据库中生成需求实例数据库;
响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作。
进一步的,所述需求对象的实例基础信息包括实例名称、序号、描述信息、创建时间、创建来源、创建者信息中的一种或多种。
进一步的,所述响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作包括以下任意一个或多个子步骤:
接收用户的修改指令,响应于所述修改指令调用需求实例数据库中的数据对所述修改指令对应的需求实例数据进行修改;
接收用户的删除指令,响应于所述删除指令调用需求实例数据库中的数据对所述删除指令对应的需求实例数据进行删除;
接收用户的更新指令,响应于所述更新指令调用需求实例数据库中的数据对所述更新指令对应的需求实例数据进行更新。
进一步的,所述响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作包括以下任意一个或多个步骤:
接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据;
接收用户的检索指令,响应于所述检索指令查找需求实例数据库的数据,显示查找结果;
接收用户的输出指令,响应于所述输出指令获取需求实例数据库的数据,输出所述数据。
进一步的,所述接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据包括:
接收用户的查看指令,根据所述查看指令包括的需求数据实例的标识,获得与所述标识对应的需求实例数据,以列表化的方式显示所述需求实例数据。
根据本发明实施例的第二方面,公开了一种高速列车需求数据实例构建和处理装置,所述装置包括:
获取模块,用于获取预先建立的需求元模型;其中,所述需求元模型与所述高速列车的结构具有对应关系,所述需求元模型包括需求对象、对象属性以及属性关联信息;所述对象属性包括主体属性、关键属性、旅客属性、质量约束属性中的一种或多种;所述属性关联信息包括隶属关系、包含关系、拥有关系中的一种或多种;
确定模块,用于根据所述需求元模型对应的需求对象,确定所述需求对象的实例基础信息;
实例构建模块,用于对所述需求元模型对应的需求对象的对象属性和属性关联信息进行赋值操作,以获得所述需求对象对应的需求数据实例;
数据库生成模块,用于将获取的各需求数据实例保存在数据库中生成需求实例数据库;
处理模块,用于响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作。
进一步的,所述需求对象的实例基础信息包括实例名称、序号、描述信息、创建时间、创建来源、创建者信息中的一种或多种。
进一步的,所述处理模块包括以下任意一个或多个子模块:
修改子模块,用于接收用户的修改指令,响应于所述修改指令调用需求实例数据库中的数据对所述修改指令对应的需求实例数据进行修改;
删除子模块,用于接收用户的删除指令,响应于所述删除指令调用需求实例数据库中的数据对所述删除指令对应的需求实例数据进行删除;
更新子模块,用于接收用户的更新指令,响应于所述更新指令调用需求实例数据库中的数据对所述更新指令对应的需求实例数据进行更新。
进一步的,所述处理模块还包括以下任意一个或多个子模块:
查看子模块,用于接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据;
检索子模块,用于接收用户的检索指令,响应于所述检索指令查找需求实例数据库的数据,显示查找结果;
输出子模块,用于接收用户的输出指令,响应于所述输出指令获取需求实例数据库的数据,输出所述数据。
进一步的,所述查看子模块具体用于:
接收用户的查看指令,根据所述查看指令包括的需求数据实例的标识,获得与所述标识对应的需求实例数据,以列表化的方式显示所述需求实例数据
本发明能够达到的有益效果为:在本发明提供的高速列车需求数据实例建立和处理方法中,利用预先建立的需求元模型,通过对需求对象的对象属性和属性关联信息进行赋值操作获得需求数据实例,并将利用获取的需求实例数据构建需求实例数据库,并可以响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作。由于本发明利用预先建立的需求元模型构建需求数据实例,而高速列车的各结构、
组件均具有对应的需求元模型,因此在设计高速列车时可以调用不同的需求元模型来创建需求数据实例,无需重复设计、研发,因此大大减少了重复的研发工作,充分利用现有资源,提高研发效率,快速高效的完成快速列车的开发设计工作。
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例或现有技术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发明中记载的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1为本发明实施例提供的一种高速列车需求数据实例建立和处理方法流程示意图;
图2为本发明实施例提供的高速列车结构树的一个示例示意图;
图3为本发明实施例提供的列车级元模型示意图;
图4为本发明实施例提供的走行组份需求元模型示意图;
图5为本发明实施例提供的创建需求数据实例示意图;
图6为本发明实施例一应用场景提供的需求实例可视化功能示意图;
图7为本发明实施例提供的高速列车需求数据实例构建和处理装置示意图。
为了使本技术领域的人员更好地理解本发明中的技术方案,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、完整地描述,显然,所描述的实施例仅仅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,都应当属于本发明保护的范围。
本发明公开了一种高速列车需求数据实例构建方法和装置,可以通过预先建立的需求元模型构建需求数据实例,有效提高需求数据的采集和设计效率,并有效提高高速列车的开发效率,减少人力和资源浪费。
参见图1,为本发明实施例提供的一种高速列车需求数据实例建立和处理方法流程示意图。
S101,获取预先建立的需求元模型;其中,所述需求元模型与所述高速列车的结构具有对应关系,所述需求元模型包括需求对象、对象属性以及属性关联信息;所述对象属性包括主体属性、关键属性、旅客属性、质量约束属性中的一种或多种;所述属性关联信息包括隶属关系、包含关系、拥有关系中的一种或多种。
在本发明具体实现时,可以预先创建需求元模型。所述需求元模型又可以称之为需求数据元模型,用于表示需求数据的模型。所述需求元模型基于高速列车结构树而建立。其中,所述高速列车结构树基于所述高速列车的结构建立得到,不同的高速列车类型对应不同的高速列车结构,不同的高速列车结构对应不同的高速列车结构树。具体实现时,可以基于预先建立的结构树模板以及收集的不同车型的不同结构,动态的组建车型结构树实例,生成高速列车结构树数据库。当在创建具体的高速列车需求元模型时,首先获取所述高速列车对应的高速列车结构树全集数据。高速列车结构树可以通过高速列车的标识、类型或者名称检索得到。参见图2,为本发明实施例提供的高速列车结构树的一个示例示意图。高速列车结构树可以按照列车、车辆、组分(组份)、部件、子部件、零件等层级逐层构建,某一层级又包括不同的组成部分。列车为最高层级,车辆对应某一节或某几节车厢,组分(组份)又包括承载组份、走行组份或者车体组份等。某一组份又可以包括不同的部件层,部件层又可以包括子部件层等。例如,车辆01包括承载组份01、走行组份02,承载组份01又包括车体结构01、头型结构02、车体断面03、车体附件结构04等。每一部件层又可以包括不同的子部件,具体如图2所示。当然,也可以根据其他方式构建高速列车结构树,本发明对此不进行限定,只要构建的高速列车结构树能与高速列车的结构对应即可。
在创建需求元模型时,利用所述预先建立的高速列车结构树的全集数据,依次选取所述高速列车结构树中的各结构点对应的需求项,将所述需
求项确定为需求元模型的需求对象,并确定各需求对象的对象属性以及属性关联信息,根据各所述需求对象的对象属性以及属性关联信息建立需求元模型。其中,需求元模型包括需求对象、对象属性(又可称之为需求属性)、属性关联信息(又可称为关系)3个元素。
具体实现时,可以采用三元组表示高速列车需求元模型(RMM):
RMM={<Object><Property><Association>}
其中,<Object>表示需求对象、<Property>表示对象属性、<Association>表示属性关联信息。其中,需求对象可以包括列车、车辆、组分、部件、子部件、零件中的一种或多种。对象属性可以包含高速列车不同产品层次的相关的需求属性,具体可以包括主体属性、关键属性、旅客属性、质量约束属性中的一种或多种。其中,主体需求属性包括路网属性、环境属性);关键需求属性主要对应性能属性、结构属性;旅客需求属性可以包括功能属性、性能属性、约束属性;质量约束属性(英文全称为Total Quality Control,英文缩写为TQC)属性可以包括质量、交货期、过程、服务人员等属性要求。其中,属性关联信息又可以称为关系信息用于描述对象属性之间的各种关系信息,主要包括各设计对象之间,即高速列车产品层级对象之间关系、各属性之间的关系以及设计对象与属性之间的关联关系。具体地,关联关系可以包括隶属关系、包含关系、拥有关系中的一种或多种。
当在创建一个或多个具体的需求数据实例时,首先获取与所述需求数据实例对应的需求元模型。例如当创建列车需求数据实例时,则获取列车需求元模型。当创建某一个部件或组分的需求数据实例时,则获取所述部件或者组份对应的需求元模型。例如,当创建行走组份实例时,则获取行走组份元模型。参见图3,为本发明实施例提供的列车级元模型示意图;参见图4,为本发明实施例提供的走行组份需求元模型示意图。需要说明的是,需求数据实例可以分层次创建,多个零部件或者组件的实例可以组成车型的实例,所述实例来源于实际车型的直接添加或者产品元模型的赋值。
S102,根据所述需求元模型对应的需求对象,确定所述需求对象的实例基础信息。
所述需求对象的实例基础信息可以包括实例名称、序号、描述信息、创建时间、创建来源、创建者信息、优先级信息中的一种或多种。本发明对此并不进行限定,本领域技术人员可以根据需要灵活设置。
S103,对所述需求元模型对应的需求对象的对象属性和属性关联信息进行赋值操作,以获得所述需求对象对应的需求数据实例。
具体实现时,可以对需求元模型的结构树层级、单结构节点对应需求元模型的数据逐一进行赋值,以得到相应的需求数据实例。其中,对某一结构节点对应的需求元模型数据赋值操作又可以包括对需求对象、对象属性、属性关联信息进行赋值操作,以获得所述需求对象对应的需求数据实例。
举例进行说明,如图3所示的列车需求元模型,在创建列车需求数据实例时,可以针对列车的所有对象属性以及属性关联信息进行赋值操作,以得到列车的需求数据实例。例如,选取某一需求项,添加需求项的具体值,即得到一个需求数据实例。例如,选取列车需求对象,将设计速度这一属性作为需求项进行赋值操作,例如将设计速度赋值为300Km/h;又如将主体属性中的风沙强度赋值为高或者一个具体的数值范围,即创建了一个需求数据实例。需要说明的是,相同的需求元模型如果赋予不同的值,则会创建不同的需求数据实例。
参见图5,为本发明实施例提供的创建需求数据实例示意图。如图5所示,图中A区域用于添加一个实例的基础信息;B区域用于显示已有的实例;C区域用于添加具体一个实例中需求项的值;D区域用于填写一个具体项的数值。
具体实现时,当在A区域要添加一个实例时,填完基本信息后转入C区域,开始添加单个需求项的实例值,当点击某一项时转入D区域,进行数值填写,其他如名称、编码则是已有信息,当D区域填写完后,则保存,转入C,点击另一个需求项。当逐个完成后,则在C区域点保存,则存入
B区域,展示已经存在的需求数据实例。
S104,将获取的各需求数据实例保存在数据库中生成需求实例数据库。
具体实现时,根据建立好的各需求数据实例构建需求元模型数据库。当在进行高速列车的具体设计开发时,可以调用所述需求实例数据库来进行相应的设计开发工作。
S105,响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作。
在一种可能的实现方式中,所述响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作包括以下任意一个或多个子步骤:
接收用户的修改指令,响应于所述修改指令调用需求实例数据库中的数据对所述修改指令对应的需求实例数据进行修改;
接收用户的删除指令,响应于所述删除指令调用需求实例数据库中的数据对所述删除指令对应的需求实例数据进行删除;
接收用户的更新指令,响应于所述更新指令调用需求实例数据库中的数据对所述更新指令对应的需求实例数据进行更新。
其中,所述用户的修改指令、删除指令或者更新指令可以包括需求数据实例的标识信息,在接收到所述指令时,则获得与所述标识对应的需求实例数据,已对所述需求实例数据进行相应的修改、删除或者更新处理。
在另外一种可能的实现方式中,所述响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作包括以下任意一个或多个子步骤:
接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据;
接收用户的检索指令,响应于所述检索指令查找需求实例数据库的数据,显示查找结果;
接收用户的输出指令,响应于所述输出指令获取需求实例数据库的数据,输出所述数据。
其中,所述接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据包括:接收用户的查看指令,根据所述查看指令包括的需求数据实例的标识,获得与所述标识对应的需求实例数据,以列表化的方式显示所述需求实例数据。
其中,所述接收用户的检索指令,响应于所述检索指令查找需求实例数据库的数据,显示查找结果包括:接收用户的检索指令,根据所述检索指令包括的需求数据实例的标识,获得与所述标识对应的需求实例数据,以列表化的方式显示所述需求实例数据。
其中,所述接收用户的输出指令,响应于所述输出指令获取需求实例数据库的数据,输出所述数据包括:接收用户的输出指令,根据所述输出指令包括的需求数据实例的标识,获得与所述标识对应的需求实例数据,输出所述需求实例数据。
具体实现时,本发明可以为数据管理人员对组建好的需求元模型数据以及需求数据实例进行便捷及人机友好式的管理,包括对需求元模型的结构树层级、单结构节点对应需求元模型的数据,以及需求元模型中包含的对象数据、属性数据、关系数据进行、修改、删除以及更新等操作。使得需求元模型数据拥有可扩展性以及动态性,并且可以使设计人员对需求元模型数据可以监控以及维护。并且需求元模型的修改和删除等操作只影响后续需求元模型实例,并不影响前面已经使用完的需求元模型实例。通过对需求数据的采集、规范化处理等,减少人工对需求数据的工作量,为快速开发列车提供高质量的需求数据管理。
此外,本发明还可以通过创建的需求元模型以及需求数据模板填写具体的数值得到的需求数据实例,将得到的需求数据实例存贮到需求实例数据库中,通过需求实例动态管理子模块进行动态的管理,例如对需求实例数据进行修改、删除和更新。
此外,在本发明实施例具体实现时,为了设计人员更清晰的查看高速列车需求实例数据,本发明可以利用列表可视化的方式进行展示需求实例的全部详细信息。同时提供上述所存贮的需求实例数据提供给用户需求数
据的检索功能,设计人员可便捷的对已存入的需求数据库的需求实例信息进行查询,可以按照实例的参数值,或者实例名称等信息进行检索查询,同时可以按照一定的格式进行报表和文档的输出。参见图6,为本发明实施例一应用场景提供的需求实例可视化功能示意图。其中,可以包括:
(1)需求数据实例查看功能:设计人员可以按照列表的方式对在需求实例进行查看,并对其信息进行查看。
(2)需求数据实例检索功能:提供其可通过参数值,实例名称信息查询,得出相关一系列的需求实例数据。
(3)需求数据实例文档输出功能:提供用户按照定义好的格式模板输出报表和文档。
参见图7,为本发明实施例提供的高速列车需求数据实例构建和处理装置示意图。
一种高速列车需求数据实例构建和处理装置700,所述装置包括:
获取模块701,用于获取预先建立的需求元模型;其中,所述需求元模型与所述高速列车的结构具有对应关系,所述需求元模型包括需求对象、对象属性以及属性关联信息;所述对象属性包括主体属性、关键属性、旅客属性、质量约束属性中的一种或多种;所述属性关联信息包括隶属关系、包含关系、拥有关系中的一种或多种。
确定模块702,用于根据所述需求元模型对应的需求对象,确定所述需求对象的实例基础信息。
实例构建模块703,用于对所述需求元模型对应的需求对象的对象属性和属性关联信息进行赋值操作,以获得所述需求对象对应的需求数据实例。
数据库生成模块704,用于将获取的各需求数据实例保存在数据库中生成需求实例数据库。
处理模块705,用于响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作。
其中,所述需求对象的实例基础信息包括实例名称、序号、描述信息、
创建时间、创建来源、创建者信息中的一种或多种。
进一步地,所述处理模块包括以下任意一个或多个子模块:
修改子模块,用于接收用户的修改指令,响应于所述修改指令调用需求实例数据库中的数据对所述修改指令对应的需求实例数据进行修改;
删除子模块,用于接收用户的删除指令,响应于所述删除指令调用需求实例数据库中的数据对所述删除指令对应的需求实例数据进行删除;
更新子模块,用于接收用户的更新指令,响应于所述更新指令调用需求实例数据库中的数据对所述更新指令对应的需求实例数据进行更新。
进一步地,所述处理模块还包括以下任意一个或多个子模块:
查看子模块,用于接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据;
检索子模块,用于接收用户的检索指令,响应于所述检索指令查找需求实例数据库的数据,显示查找结果;
输出子模块,用于接收用户的输出指令,响应于所述输出指令获取需求实例数据库的数据,输出所述数据。
进一步地,所述查看子模块具体用于:
接收用户的查看指令,根据所述查看指令包括的需求数据实例的标识,获得与所述标识对应的需求实例数据,以列表化的方式显示所述需求实例数据。
上述各单元的功能可对应于图1详细描述的上述方法的处理步骤,于此不再赘述。需要说明的是,由于对方法实施例进行详细的阐述,对装置实施例的描述较为简单,本领域技术人员可以理解的是,可以参照方法实施例构造本发明的装置实施例。本领域技术人员在不付出创造性劳动下获取的其他实现方式均属于本发明的保护范围。
本领域技术人员可以理解的是,以上对方法和装置实施例进行了示例性说明,以上不视为对本发明的限制,本领域技术人员在不付出创造性劳动下获得的其他实现方式均属于本发明的保护范围。
需要说明的是,在本文中,诸如第一和第二等之类的关系术语仅仅用
来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。本发明可以在由计算机执行的计算机可执行指令的一般上下文中描述,例如程序模块。一般地,程序模块包括执行特定任务或实现特定抽象数据类型的例程、程序、对象、组件、数据结构等等。也可以在分布式计算环境中实践本发明,在这些分布式计算环境中,由通过通信网络而被连接的远程处理设备来执行任务。在分布式计算环境中,程序模块可以位于包括存储设备在内的本地和远程计算机存储介质中。
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,其中所述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具体实施方式,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,还可以做出若干改进和润饰,这些改进和润饰也应视为本发明的保护范围。
Claims (10)
- 一种高速列车需求数据实例构建和处理方法,其特征在于,所述方法包括:获取预先建立的需求元模型;其中,所述需求元模型与所述高速列车的结构具有对应关系,所述需求元模型包括需求对象、对象属性以及属性关联信息;所述对象属性包括主体属性、关键属性、旅客属性、质量约束属性中的一种或多种;所述属性关联信息包括隶属关系、包含关系、拥有关系中的一种或多种;根据所述需求元模型对应的需求对象,确定所述需求对象的实例基础信息;对所述需求元模型对应的需求对象的对象属性和属性关联信息进行赋值操作,以获得所述需求对象对应的需求数据实例;将获取的各需求数据实例保存在数据库中生成需求实例数据库;响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作。
- 根据权利要求1所述的方法,其特征在于,所述需求对象的实例基础信息包括实例名称、序号、描述信息、创建时间、创建来源、创建者信息中的一种或多种。
- 根据权利要求1所述的方法,其特征在于,所述响应于调用所述需求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作包括以下任意一个或多个子步骤:接收用户的修改指令,响应于所述修改指令调用需求实例数据库中的数据对所述修改指令对应的需求实例数据进行修改;接收用户的删除指令,响应于所述删除指令调用需求实例数据库中的数据对所述删除指令对应的需求实例数据进行删除;接收用户的更新指令,响应于所述更新指令调用需求实例数据库中的数据对所述更新指令对应的需求实例数据进行更新。
- 根据权利要求1所述的方法,其特征在于,所述响应于调用所述需 求实例数据库的指令,对所述需求实例数据库执行与所述指令对应的操作包括以下任意一个或多个步骤:接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据;接收用户的检索指令,响应于所述检索指令查找需求实例数据库的数据,显示查找结果;接收用户的输出指令,响应于所述输出指令获取需求实例数据库的数据,输出所述数据。
- 根据权利要求4所述的方法,其特征在于,所述接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据包括:接收用户的查看指令,根据所述查看指令包括的需求数据实例的标识,获得与所述标识对应的需求实例数据,以列表化的方式显示所述需求实例数据。
- 一种高速列车需求数据实例构建和处理装置,其特征在于,所述装置包括:获取模块,用于获取预先建立的需求元模型;其中,所述需求元模型与所述高速列车的结构具有对应关系,所述需求元模型包括需求对象、对象属性以及属性关联信息;所述对象属性包括主体属性、关键属性、旅客属性、质量约束属性中的一种或多种;所述属性关联信息包括隶属关系、包含关系、拥有关系中的一种或多种;确定模块,用于根据所述需求元模型对应的需求对象,确定所述需求对象的实例基础信息;实例构建模块,用于对所述需求元模型对应的需求对象的对象属性和属性关联信息进行赋值操作,以获得所述需求对象对应的需求数据实例;数据库生成模块,用于将获取的各需求数据实例保存在数据库中生成需求实例数据库;处理模块,用于响应于调用所述需求实例数据库的指令,对所述需求 实例数据库执行与所述指令对应的操作。
- 根据权利要求6所述的装置,其特征在于,所述需求对象的实例基础信息包括实例名称、序号、描述信息、创建时间、创建来源、创建者信息中的一种或多种。
- 根据权利要求6所述的装置,其特征在于,所述处理模块包括以下任意一个或多个子模块:修改子模块,用于接收用户的修改指令,响应于所述修改指令调用需求实例数据库中的数据对所述修改指令对应的需求实例数据进行修改;删除子模块,用于接收用户的删除指令,响应于所述删除指令调用需求实例数据库中的数据对所述删除指令对应的需求实例数据进行删除;更新子模块,用于接收用户的更新指令,响应于所述更新指令调用需求实例数据库中的数据对所述更新指令对应的需求实例数据进行更新。
- 根据权利要求6所述的装置,其特征在于,所述处理模块还包括以下任意一个或多个子模块:查看子模块,用于接收用户的查看指令,响应于所述查看指令调用需求实例数据库中的数据,显示所述查看指令对应的需求实例数据;检索子模块,用于接收用户的检索指令,响应于所述检索指令查找需求实例数据库的数据,显示查找结果;输出子模块,用于接收用户的输出指令,响应于所述输出指令获取需求实例数据库的数据,输出所述数据。
- 根据权利要求9所述的装置,其特征在于,所述查看子模块具体用于:接收用户的查看指令,根据所述查看指令包括的需求数据实例的标识,获得与所述标识对应的需求实例数据,以列表化的方式显示所述需求实例数据。
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