Modular product design evaluation method based on data driving

A product design, data-driven technology, applied in the field of modular product design evaluation, can solve the problems of product design evaluation method reporting, difficult to adapt to new needs, etc., to achieve high accuracy and good objectivity

Active Publication Date: 2020-05-05
WUHAN UNIV OF TECH
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Problems solved by technology

[0004] However, with the increasing complexity of the product evaluation system and the constant changes in the product evaluation indicators of enterprises, the original rule-based me

Method used

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  • Modular product design evaluation method based on data driving
  • Modular product design evaluation method based on data driving
  • Modular product design evaluation method based on data driving

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Embodiment Construction

[0040] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0041] Such as figure 1 As shown, taking a modular smart phone as an object, a data-driven modular product design evaluation method provided by the embodiment of the present invention includes the following steps:

[0042] 1) Continuously collect product life cycle data, including: product design data, product operation data and product evaluation data.

[0043] Product design data refers to the screen, hardware, network and connection, camera, appearance and other parameters in the product design process, which can be obtained by using Product Data Management (PDM), Enterprise Resource Plan (ERP), etc. Information system collection.

[0044] Product operation data refers to the core operation data generated by the key components of the product during the use of the product. It also refers to the data monitored by using the Io...

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Abstract

The invention relates to a modular product design evaluation method based on data driving, and the method comprises the steps: building a modular product multi-stage evaluation system according to characteristics of a product and personalized demands of a customer; aiming at the established evaluation system, designing an acquisition method of corresponding data; for a designed multi-stage evaluation system, establishing a two-stage neural network wherein the two-stage neural network comprises an input layer, a first-stage hidden layer, a first-stage output layer, a second-stage input layer,a second-stage hidden layer and an output layer; continuously inputting the acquired data into a neural network for training, and adjusting parameters of the neural network; and realizing design evaluation of the product by utilizing the neural network. Dynamic mapping of modular product design parameters and customer evaluation results is achieved in a machine learning mode, designers quickly estimate market evaluation of new products by continuously collecting data and dynamically adjusting the evaluation results, and the product design period is shortened.

Description

technical field [0001] The invention relates to a modular product design evaluation method, in particular to a data-driven product designer-oriented product design evaluation method. Background technique [0002] With the gradual in-depth research and application of the new generation of IT technologies (such as cloud computing, Internet of Things, big data, deep learning, etc.), the era of data-driven manufacturing has come. New product development is considered to be one of the important links for enterprises to maintain continuous competitiveness in the fierce market competitors, and enterprises are forced to continuously develop new products to adapt to the ever-changing individual needs of customers. How to efficiently use big data in the process of product design, manufacturing, sales, use, and evaluation, continuously analyze the coupling impact of different design parameters on customer experience, and help designers quickly estimate market evaluation results in the ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06N3/04G06N3/00
CPCG06Q10/06393G06Q10/04G06N3/006G06N3/045Y02P90/30
Inventor 王磊高天翼毛爱江闻婧艾孜买提·依明江罗正达
Owner WUHAN UNIV OF TECH
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