CN115686474A - Classification attribute inheritance implementation method based on Java - Google Patents
Classification attribute inheritance implementation method based on Java Download PDFInfo
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- CN115686474A CN115686474A CN202211415931.9A CN202211415931A CN115686474A CN 115686474 A CN115686474 A CN 115686474A CN 202211415931 A CN202211415931 A CN 202211415931A CN 115686474 A CN115686474 A CN 115686474A
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Abstract
The invention provides a Java-based classification attribute inheritance realization method, which comprises the following steps of S1: newly building part classification; s2: obtaining the classification attribute of the part classification in the step S1; s3: judging the condition selection in the step S2; s4: adding a classification attribute of the current classification; the Java-based classification attribute inheritance implementation method not only ensures the consistency of the attributes of the parts with parent-child classification relations, but also reduces the configuration time of the classification attributes in data configuration.
Description
Technical Field
The invention relates to the field of industrial component design, in particular to a classification attribute inheritance implementation method based on Java.
Background
When a designer uses industrial software to design a product, a large number of parts are used, the parts are generally classified according to categories, and when the parameters are set according to the classification of the parts, the parameters are not convenient to remember due to more parameters; meanwhile, the parameters of the parts need to be configured every time the parts are used, so that great inconvenience is brought to a user.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a classification attribute inheritance implementation method based on Java.
In order to achieve the purpose, the invention adopts the following technical scheme: a classification attribute inheritance implementation method based on Java comprises the following steps:
s1: newly building part classification;
in the design process, the parts are classified in a multi-stage mode in a using mode;
s2: obtaining the classification attribute of the part classification in the step S1;
the classification attributes comprise the common parameters of length, width, height and diameter of the parts; meanwhile, carrying out condition selection on the classification attributes;
s3: judging the condition selection in the step S2;
judging according to the condition selection in the step S2; the condition selection comprises whether the classification attribute is inherited or not;
s4: adding a classification attribute of the current classification;
when the upper-level classified part classification attribute is selected not to be inherited in step S3, the newly added lower-level classified part classification attribute is not brought out.
Preferably, the inheritance of the classification property in step S3 further includes a constraint of the classification property.
Compared with the prior art, the invention has the beneficial effects that: the Java-based classification attribute inheritance implementation method not only ensures the consistency of the attributes of the parts with parent-child classification relations, but also reduces the configuration time of the classification attributes in data configuration.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
In order to further understand the objects, structures, features, and functions of the present invention, the following embodiments are described in detail.
Referring to fig. 1, the present invention provides a Java-based classification attribute inheritance implementation method, which includes the following steps:
s1: newly building part classification;
in the design process, the parts are classified in a first-level mode, such as a crane classification, including a rotary table seat body, a seat body special part, a winch box and the like; secondly, performing secondary classification on the basis, wherein the hoisting boxes can be classified into a single hoisting box and a double hoisting box; meanwhile, in the reclassification process, parameters of parts in each classification can be labeled;
s2: obtaining classification attributes of the part classification in the step S1;
the classification attributes comprise common parameters of length, width, height, diameter and the like of the parts; meanwhile, the classification attribute is restrained; the constraint comprises whether the classification attribute is inherited;
s3: judging the constraint conditions in the step S2;
judging according to the constraint of the step S2;
when the classification attribute of the first-level classification part is inherited, the classification attribute of the first-level classification part can be automatically inherited by a second-level classification part under the part, and the classification attribute of the second-level classification part is consistent with the classification attribute of the first-level classification part;
when the classification attribute of the first-level classification part is not inherited, the classification attribute of the first-level classification part is not inherited by a second-level classification part under the part, and the classification attribute of the second-level classification part is inconsistent with the classification attribute of the first-level classification part;
s4: adding classification attributes and constraints of the current classification;
when the first-level classified part classification attribute is selected not to be inherited in the step S3, the newly added second-level classified part and the classification attribute are not brought out.
Preferably, the inheritance of the classification property in step S3 further includes a constraint of the classification property.
The constraints of the lower level are in an adjustable state in the constraints of the upper level by classifying the constraints of the attributes.
The upper level constraint provides an implementable ideal range value for the lower level classification attribute in the implementation process, and the lower level classification attribute can be adjusted by itself in the design process to reach the optimal value within the implementable ideal range value.
The present invention has been described in relation to the above embodiments, which are only examples of the implementation of the present invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. Rather, it is intended that all such modifications and variations be included within the spirit and scope of this invention.
Claims (2)
1. A Java-based classification attribute inheritance realization method is characterized in that: the method comprises the following steps:
s1: newly building part classification;
in the design process, the parts are classified in a multi-stage mode in a using mode;
s2: obtaining the classification attribute of the part classification in the step S1;
the classification attributes comprise the common parameters of length, width, height and diameter of the parts; meanwhile, carrying out condition selection on the classification attributes;
s3: judging the condition selection in the step S2;
judging according to the condition selection in the step S2; the condition selection comprises whether the classification attribute is inherited or not;
s4: adding a classification attribute of the current classification;
when the first-level classified part classification attribute is selected not to be inherited in the step S3, the newly added second-level classified part and the classification attribute are not brought out.
2. The Java-based classification attribute inheritance realization method of claim 1, wherein: the inheritance of the classification property in the step S3 further includes a constraint of the classification property.
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Citations (3)
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US20170103434A1 (en) * | 2015-10-08 | 2017-04-13 | Paypal, Inc. | Automatic taxonomy alignment |
CN111984633A (en) * | 2020-09-10 | 2020-11-24 | 云智汇(武汉)科技服务有限公司 | Method for expanding CMDB configuration classification as required and automatically establishing relationship |
CN114971547A (en) * | 2022-05-24 | 2022-08-30 | 中车青岛四方机车车辆股份有限公司 | Component product level borrowing analysis method and system |
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170103434A1 (en) * | 2015-10-08 | 2017-04-13 | Paypal, Inc. | Automatic taxonomy alignment |
CN111984633A (en) * | 2020-09-10 | 2020-11-24 | 云智汇(武汉)科技服务有限公司 | Method for expanding CMDB configuration classification as required and automatically establishing relationship |
CN114971547A (en) * | 2022-05-24 | 2022-08-30 | 中车青岛四方机车车辆股份有限公司 | Component product level borrowing analysis method and system |
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