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Cloud manufacturing platform resource service matching method

A technology of resource service and matching method, applied in the field of resource service matching of cloud manufacturing platform, can solve the problems of complex content, lack of unified and effective resource description model, and ignoring the efficiency of resource demand matching.

Pending Publication Date: 2020-12-15
天津博诺智创机器人技术有限公司 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] There are many types of manufacturing resources, the content is complicated, and the attributes of various resources are both different and related. Most of the existing research focuses on the description of a single resource, which is not universal and lacks a unified and effective resource description model;
[0005] In terms of resource service matching, most of the above studies focus on matching recall and precision, while ignoring the matching efficiency of resource requirements. With the development of cloud manufacturing technology, the number of resource services in cloud manufacturing platforms will increase. More and more, it is necessary to quickly and accurately match resource services with demand

Method used

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  • Cloud manufacturing platform resource service matching method
  • Cloud manufacturing platform resource service matching method
  • Cloud manufacturing platform resource service matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0397] Measured by the number of words in the text, Revord(T 1 , T 2 ) calculation method,

[0398] T 1 :This is a gear machining manufacturing service

[0399] This = 1, is = 2, one = 3, gear = 4, machining = 5, manufacturing = 6, service = 7

[0400] T 2 : Manufacture and process shaft parts

[0401] Manufacturing=1, Processing=2, Shafts=3, Parts=4

[0402] Among them, Revord(T 1 , T 2 ) = {processing, manufacturing}, P first (T 1 , T 2 ) = {4, 5}; P second (T 1 , T 2 )={5,4}, since 5>4, so Revord(T 1 , T 2 )=1.

Embodiment 2

[0404] Such as figure 1 As shown, the specific steps of resource service clustering are:

[0405] (1) Initialize the basic information of services in the cloud service pool, the number of resource service clusters q, etc.

[0406] (2) Calculate the comprehensive similarity of any two service basic information texts in the cloud service pool, and obtain the similarity matrix.

[0407] (3) Calculate the i-th service r i The average similarity of the basic information text a i , select the service with the largest average similarity of the basic information text as the first clustering center select with The service with the smallest similarity is used as the second cluster center r c2 .

[0408] (4) The value range of the number of resource service clusters q is When the resource service starts clustering, q=2, with and Start clustering for the cluster center and calculate E θ and F q Select the resource service cluster with the smallest similarity within the cla...

Embodiment 3

[0412] Take the processing and manufacturing of gear parts requested by an enterprise as an example. In order to improve the production efficiency of products, the enterprise relies on the cloud manufacturing platform to complete the processing of some parts. The demand information of the enterprise is as follows: figure 2 Shown: Assuming that there are 30 resource services in the cloud manufacturing service platform at this time, use r 1 -r 30 Indicates that the resource information r 1 -r 10 Basic Information BI f For "This is a machining and manufacturing service for gear parts", resource information r 11 -r 20 Basic Information BI s For "manufacturing and processing shaft parts", resource information r 21 -r 30 Basic Information BI t For "providing bolt manufacturing services", the information of all resource providers such as image 3 as shown,

[0413] First calculate the comprehensive similarity of the basic information text of each resource service, take a ...

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Abstract

A cloud manufacturing platform resource service matching method comprises a model establishing step, a preprocessing step, a mapping matching step and an optimizing step, and is characterized in thatthe model establishing step, the preprocessing step, the mapping matching step and the optimizing step are carried out in sequence. The invention has the beneficial effects that the matching method has higher matching efficiency while keeping higher accuracy, the matching range of resource services can be greatly reduced through resource service preprocessing, the operation scale is reduced, and the user satisfaction is high.

Description

technical field [0001] The invention relates to the technical field of cloud manufacturing, in particular to a resource service matching method of a cloud manufacturing platform. Background technique [0002] The manufacturing industry plays a vital role in the economic development of various countries, and it directly determines the economic level and comprehensive national strength of a country. With the rapid development of science and technology and global economic integration, the international manufacturing industry is developing in the direction of green, intelligent, service-oriented, and informatization. In order to adapt to the development trend of internationalization, countries have proposed different manufacturing transformation plans Target. As a big country in the manufacturing industry, my country's manufacturing industry is also facing problems such as backward production models, low utilization of manufacturing resources, and insufficient innovation capabi...

Claims

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Application Information

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IPC IPC(8): G06Q10/10G06Q50/04G06K9/62
CPCG06Q10/103G06Q50/04G06F18/23213G06F18/22G06F18/24Y02P90/30
Inventor 邓三鹏张香玲祁宇明张健王文王帅邓茜
Owner 天津博诺智创机器人技术有限公司
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