Semantic-based product configuration demand response system and order generation method thereof

Abstract

The invention discloses a semantic-based product configuration demand response system and an order generation method thereof. The system comprises a data layer, a semantic layer, a service layer and auser layer, the data layer transmits the product component data and the configuration ontology data to the semantic layer; the semantic layer transmits the semantically processed data to the servicelayer; the service layer transmits the data to the application layer, wherein the data layer comprises a product component database, a configuration ontology database, an in-production information database and an order database; the semantic layer comprises a demand ontology construction module, a semantic matching module, a semantic reasoning query module and a product configuration and order generation module; the service layer comprises a product customization module, an order management module, an order state query module and a product component tracing module, the user layer comprises a client module and an administrator module, the customer requirements are converted into the specific index parameters of the product components to enable customized products to meet the personalized requirements of customers, and the product configuration efficiency is improved.

Description

technical field [0001] The invention belongs to the field of combination of natural language processing and semantic web technology, and relates to a product configuration demand response system based on semantic web. Background technique [0002] Strategic goals for intelligent manufacturing such as "Industry 4.0" and "Made in China 2025" have been proposed one after another, injecting new vitality into the manufacturing industry. The traditional manufacturing industry has the characteristics of large scale and single production mode, which makes it difficult to meet the growing individual needs of current users. With the popularization of mobile Internet technology, more and more users use Internet products to realize their own personalized customized services. Personalized customization provides personalized products and services according to the characteristics and preferences of customers. The personalized customization model effectively improves customer satisfaction a...

AI Technical Summary

Problems solved by technology

Almost all existing product customization systems have some deficiencies: first, personalized services are mostly concentrated in the e-commerce stage, and only play the role of online stores; second, there is a lack of means to fully and comprehensively display product features, such as interactive 1. Visually display the characteristics of the product; 3. Customers need to have certain design knowledge to express their individual needs, which limits the possibility of customers' personalized choices

Therefore, personalized customization needs to convert the fuzzy demand put forward by customers into specific index parameters of product components through the research and analysis of customer demand information, while traditional personalized customization such as automobile customization, computer customization, household appliances and other products constitute modularization. In most areas, fixed options are provided for users to choose, which cannot meet the individual needs of each customer for different product features, and the degree of personalization is low.

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