International Journal of Product Development (17 papers in press)
Conceptual Design of Mechatronic Products Using PDS-TRIZ
by Norazam Aliman, Rizauddin Ramli, Sallehuddin Mohamed Haris
Abstract: Creativity is very important in the conceptual design stage for mechatronic products. The innovation and development of mechatronic products usually cover different knowledge domains. Traditionally, ideation comes intuitively or logically. However, this depends on the creativity and ideas of the designer. As such, tools; such as Pughs total design process (PTDP) and the theory of inventive problem solving (TRIZ); have emerged to help designers design and develop their products. Therefore, this paper attempted to present a conceptual design strategy; namely PDS-TRIZ; by combining product design specification (PDS) and TRIZ to improve PTDP. A locomotive lower limb exoskeleton (LLLE); a device used to assist paraplegics regain walking ability; was used to demonstrate the capability of the proposed PDS-TRIZ method. Our study proved that the proposed PDS-TRIZ could be used to develop conceptual designs for mechatronic products.
Keywords: product design specification; TRIZ;lower limb exoskeleton; conceptual design.
Virtual product development of vehicle drives
by Peter Fietkau, Bruno Kistner, Sabine Sanzenbacher, Jérôme Munier
Abstract: The development of vehicle drives is undergoing radical change. New electrical drive technologies have to be developed and the complexity is massively increasing. The paper at hand shows the necessary improvements to the product development process (PDP) at Porsche AG whereby digitalisation is the core element. Virtual hardware development and software calibration are introduced at the first stage. Early validation is possible through separate milestones and release criteria. At the second stage, the PDP is restructured with the aid of systems engineering and all requirements are derived from the customer level. This means there is potential to use customer field data in a targeted manner for design and validation purposes on all system levels. At the third stage virtual and physical validation are merged. The result is a common, optimised validation programme. Practical application examples are presented and current challenges that are both methodical and procedural in nature are outlined.
Keywords: virtual product development; vehicle drives; digitalisation; product development process; digital prototype; digital twin; virtual development; systems engineering; holistic validation; customer data; testing.
Product Portfolio Management in Industrial Design: a model of design strategies for mature portfolios
by Torbjörn Andersson, Renee Wever, Johan Ölvander, Anders Warell
Abstract: To achieve progression in a product portfolio, companies employ designers to develop and manage the creation of new products. Researchers have shown that design and brand are linked, meaning that design features have to be managed and incorporated throughout the whole product range in order to create coherence within a portfolio. No prior conclusive model has been established for the strategies a designer can employ when developing products for a company with a strong brand. This article investigated how an existing product portfolio could be further developed from a design perspective and seven product portfolio development strategies were identified. Inspired by studies of competitors influence on an existing portfolio, a three-dimensional visual model was developed: the Product Portfolio Development model. The findings may advance the current understanding of the connection between management and product design and thus be a useful framework for academics, teachers and professionals.
Keywords: Product strategy; product families; NPD; design management; product platforms; strategic planning.
Special Issue on: User Experience for Advanced Human-Computer Interaction
Real time information sharing model of product supply chain based on Internet of things
by Yanrong Wang, JinJin Chao, Ying Li
Abstract: In order to overcome the problems of poor information security and low sharing efficiency existing in the traditional product supply chain information real-time sharing model, this paper proposes a new product supply chain information real-time sharing model based on Internet of things technology. Set the information double chain storage mode, calculate the data writing speed of the Internet of things, determine the optimal block size of the product supply chain through the difficulty control algorithm, and optimize the anti tampering ability of the model to the information when there are attacks in the supply chain. Using the supply chain technology to establish the underlying peer-to-peer network, the dual chain storage of regional product information data sharing, building product information real-time sharing model. Experimental results show that compared with the traditional model, this model has higher security and sharing efficiency, and the sharing efficiency is always above 90%.
Keywords: Internet of things technology; Product supply chain; Information real-time sharing; Model building; tamper proof; Difficulty control algorithm.
User Experience Evaluation of Intelligent Sports Bracelet Based on Multi-factor Fusion
by Wei Liu, Zhen Liu
Abstract: In order to overcome the problems of the traditional methods, such as the low accuracy of calculating the weight of evaluation factors, the high error rate of evaluation and the long output time of evaluation results, a user experience evaluation method based on multi-factor fusion was proposed. Building intelligent motion bracelet user experience evaluation system, determine various evaluation factors relative to the membership degree of evaluation factor set, to construct judgment matrix, get the weights of preliminary results, the weighting results are consistency check, get the final weight calculation results, and the multi-factor fusion method was used to construct intelligent motion bracelet user experience evaluation model, get the final user experience evaluation result. Experimental results show that the calculation accuracy of the weight of evaluation factors is more than 94%, the error rate of evaluation varies from 0 to 2%, and the average output time of evaluation results is 0.62s.
Keywords: Multi-factor fusion; Intelligent sports bracelet; User experience evaluation; Evaluation factor set; weighting.
Evaluation method of smart bracelet health monitoring accuracy based on multi-level data fusion
by Weicheng Ma, Yanfei Lv
Abstract: In the process of smart Bracelet health monitoring, there are some problems, such as low efficiency of accuracy evaluation and high fusion error rate. An accuracy evaluation method of smart Bracelet health monitoring based on multi-level data fusion. The intelligent bracelet is monitored by information collection, information judgment and information display. The v1.1 temperature acquisition sensor and pulse sensor are selected to measure the temperature, heart rate and blood oxygen saturation. The cloud design and fuzzy information clustering method are used to realize the effective integration of multi-level data and information, and the maximum likelihood estimation model of the health index of the intelligent bracelet is established to obtain the intelligent information Evaluation results of the accuracy of health monitoring of bracelet. The experimental results show that the accuracy evaluation efficiency of the proposed method is always above80%, and the fusion error rate is always below 0.1%.
Keywords: Multi-level data fusion; smart bracelet; health monitoring; accuracy evaluation.
Product 3D virtual display scene modeling based on augmented reality technology
by Heng Luo
Abstract: In order to overcome the problems of low precision and long time in traditional methods, a 3D virtual display scene modeling method based on augmented reality technology is proposed. The 3D virtual display scene image of the product is obtained by camera, and the 3D virtual display scene coordinate is obtained by using the 3D registration technology in augmented reality. The real product scene image and virtual position are synthesized in virtual reality according to the acquired 3D space coordinates, and the geometric distortion phenomenon generated in the synthesis process is corrected. After the correction, the 3D virtual display scene coordinates are obtained, the product scene image is binary processing, the product image contour is extracted, and the 3D virtual display scene of the product is generated. The simulation results show that the modeling accuracy of this method is kept at 95%, and the modeling time is only 4s.
Keywords: Augmented reality technology; 3D virtual; display scene; 3D registration technology; anti perspective transformation method.
Fast fusion method of virtual image of product shape based on progressive fill line algorithm
by Yang Luo, Yan Wang
Abstract: In order to overcome the problems of low precision and speed in the existing fast fusion methods of virtual image of product shape, a new fast fusion method of virtual image of product shape based on progressive fill line algorithm is proposed in this paper. The progressive filling line algorithm is used to fill the virtual image holes of product shape, and dibr technology is introduced to reconstruct the image position and restore the image color. Finally, the fuzzy minimum error threshold algorithm and Ostu algorithm are used to calculate the optimal threshold and global threshold of the product shape virtual image features, so as to realize the rapid fusion of product shape virtual image. The experimental results show that the design method can ensure the fusion accuracy and clarity of virtual image of product shape, and the shortest fusion time is 7ms.
Keywords: Progressive fill line algorithm; time-varying illumination; product shape; virtual image; image fusion.
Study on spatial layout evaluation of game UI interface based on grey interval clustering
by Zuhui You
Abstract: In order to overcome the problems of time-consuming and low accuracy of traditional evaluation methods, a new evaluation method of game UI spatial layout based on grey interval clustering is proposed. This paper analyzes the relevant content of the game UI interface, integrates the interval gray degree and gray theory, designs the gray interval whitening weight function and gray interval clustering process. On this basis, according to the gray interval category of the index sample to be evaluated, combined with its gray interval category, the spatial layout of the game UI interface is evaluated. The experimental results show that the time-consuming of the evaluation result generation process varies from 0.60min to 0.79min, the accuracy of the evaluation result varies from 92.5% to 94.6%, and it has stronger adaptive ability, which proves the effectiveness of the method.
Keywords: Game UI interface; interface spatial layout; grey interval clustering; spatial layout evaluation.
Monitoring method of use frequency of sports electronic products based on non-uniform sampling
by Yujie Wei
Abstract: In order to overcome the problems of slow response speed of monitoring instruction, poor anti-interference effect and large error of monitoring results, this paper proposes a frequency monitoring method for sports electronic products based on non-uniform sampling. The frequency information of sports electronic products is collected by non-uniform sampling, and the noise reduction processing is carried out by using the average operator filter to obtain reliable output results. Finally, the monitoring procedure is started to complete the monitoring of the frequency of sports electronic products. The experimental results show that the response time of the monitoring instruction is 3.0s-3.8s, the error of the monitoring results varies from 4.2% to 4.7%, which proves that the method has faster response speed and higher effectiveness to the monitoring instruction, and has stronger anti-interference effect in the monitoring process, which indicates that the method has higher application advantages.
Keywords: Sports electronic products; frequency of product use; frequency monitoring; nonuniform sampling; average operator filter.
Visual communication method of graphic language in industrial product design
by Fang Wang, Huaxi Chen
Abstract: In order to improve the ideality of product design effectively, enhance its market attraction and competitiveness and obtain greater economic benefits, the paper designs the visual communication method of graphic language in industrial product design. Through the analysis of industrial product design characteristics, principles and practical problems, the interview method and qualitative analysis method are used to explore the reasons for the low impact of product packaging. Then brainstorming method is used to quantitatively analyze the unique selling points of products, and select graphic language elements, and then construct industrial product packaging graphic language and its scene, to realize the visual communication design of industrial product graphic language. The experimental results show that the design satisfaction of this method is high, the competitiveness index of product packaging is 90%, the attractiveness index is 0.7, and it can obtain more economic benefits of industrial products.
Keywords: Industrial products; Visual communication; Graphic Language; Qualitative analysis; Brainstormingrnrn.
Color difference detection method of product packaging based on local enhancement
by Hua Song
Abstract: In order to overcome the problem of high detection absolute error rate and complexity of detection time in traditional methods, this paper proposes a method of color difference detection based on local enhancement. The projection value of the color area block of the outer packaging is determined. The threshold segmentation method is used to detect the color difference of the outer packaging of the product. The difference pixels are extracted by local enhancement method to detect the color difference of the outer packaging. The results show that the average accuracy of the method is 98.6%, the time of color difference detection is only 6S, and the absolute error rate of color difference detection is 0.26%. This method can effectively reduce the complexity of detection time, reduce the absolute error rate of detection, and improve the correct identification rate of color difference of outer packaging.
Keywords: Binarization energy map; threshold segmentation method; local enhancement; feature extraction.
Adaptive adjustment method of intelligent industrial product dimension accuracy
by Keke Yang
Abstract: In order to overcome the problems of low precision and long time in the traditional method of adjusting the accuracy of external dimensions, this paper proposes an adaptive adjusting method for the accuracy of external dimensions of intelligent industrial products. The car model of industrial product dimension accuracy is constructed. After predicting and adjusting the parameters adaptively, the intelligent industrial product dimension error is detected, and the calculation process of dimension coefficient correction factor is determined. By describing the grinding process of industrial products, the residual vector in the adjustment process is determined to realize the adaptive adjustment of intelligent product dimension accuracy. The experimental results show that the adjustment time is only 1.5s, and the relative error and absolute error are close to zero. The method in this paper can improve the accuracy and effect of dimension adjustment, and reduce the time-consuming of industrial product dimension adjustment.
Keywords: CAR model; adjustment parameter; residual vector; correction factor.
Defect detection method of product appearance design based on visual communication model
by Tiesheng Liu
Abstract: In order to overcome the problems of low detection accuracy and efficiency in traditional product appearance design defect detection methods, a product appearance design defect detection method based on visual communication model was proposed. The X-ray visual inspection system is used to collect the image of product appearance design, and the method of superposition of multiple images and histogram equalization are used to denoise and enhance the defect image of product appearance design. Gabor transform is used to extract the features of the preprocessed defect image. According to the extraction results, VR virtual reality reconstruction method is used to construct the visual inspection model of product appearance design defects, and the defect detection of product appearance design is realized. The simulation results show that the proposed method has better detection results and improves the detection efficiency. The shortest detection time is only 5s.
Keywords: Visual communication; Appearance; Modeling design; defect detection; Integral projection method; Gabor transform.
Personalized recommendation of smart home products based on convolution neural network
by Xiaoyuan Luo, Jun Liu
Abstract: In order to solve the problems of high recommendation error and long recommendation time in traditional personalized recommendation methods for smart home products, a new personalized recommendation method for smart home products based on convolution neural network is proposed. The attributes of smart home products are superimposed, and the square root of the attribute weight vector and all components are calculated. Determine the relationship between the attributes and important factors of smart home products to be recommended, and complete the weight calculation of smart home product recommendation. The personalized recommendation model of smart home products is constructed, and the convolution neural network is used to obtain the global optimal solution of the personalized recommendation model, so as to realize the personalized recommendation of smart home products. The experimental results show that the minimum error of the proposed method is about 0.3%, and the recommendation time is less than 15s.
Keywords: Smart home products; personalized recommendation; product attributes; convolution neural network.
Product design difference perception model based on visual communication technology
by Yinyin Wang
Abstract: In order to overcome the problems of high output error rate and low signal-to-noise ratio in the current product appearance design difference perception model, a product appearance design difference perception model based on visual communication technology is proposed and designed. Based on the data analysis of product appearance design difference perception, the basic information of difference perception is introduced to adjust the overall image information of product appearance design, and the product appearance design difference perception model is set based on visual communication technology, so as to achieve the purpose of design research of the overall model. The experimental results show that the output error rate of the designed model is small, the average output error is 3.08%, the peak signal-to-noise ratio is high, and the highest peak signal-to-noise ratio is 47.2. It shows that the designed model meets the needs of improving the effect of product appearance design.
Keywords: Visual communication technology; product appearance; appearance design; design difference perception model.
User Experience Measurement Methods of E-commerce Products Based on Cloud Model
by Ming Yang
Abstract: Traditional e-commerce product user experience measurement methods have the problems of poor measurement effect and low user experience satisfaction. This paper proposes a cloud based e-commerce product user experience measurement method. This paper uses the hierarchical structure model to build the e-commerce product user experience measurement index system to obtain the e-commerce product user experience index. Determine the proportion of indicators to complete the construction of cloud model; Calculates the cloud drop expected value, expected entropy and super entropy in the cloud model, and transforms the e-commerce product user experience measurement index weight coefficient into normal cloud to realize the e-commerce product user experience degree Quantity. Though the results show the measure accuracy is about 98% , and the measurement time is less than 2 s.
Keywords: Cloud model; E-commerce products; User experience; Weight coefficient; Fuzzy comprehensive metric.