Microservices-based cloud-edge collaborative condition monitoring platform for smart manufacturing systems

Yang, Hanbo; Ong, S. K.; Nee, A. Y. C.; Jiang, Gedong; Mei, Xuesong

doi:10.1080/00207543.2022.2098075

Cited by 13 publications

(4 citation statements)

References 39 publications

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“…This calculates the consistency index of the consistency matrix according to Eq. (29). For example, 𝛼 1 = 1 − 0.186+0.405 2 = 0.705.…”

Section: A a Case Analysismentioning

confidence: 99%

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

Pang,

Shi,

Dai

2024

IEEE Access

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Supply-demand matching degree evaluation is an effective way to reduce the transaction risk of manufacturing supply-demand subjects. Cloud manufacturing provides a platform for supply-demand entities through the network. Based on the characteristics of cloud manufacturing, this paper proposes an intelligent evaluation method of supply-demand matching degree based on ELECTRE III and VIKOR. Firstly, the demand side uploads a bill of material on the cloud manufacturing platform, and the supplier provides a supply plan. The demand side forms an evaluation team to evaluate the quality of the supplied product. Secondly, the weight of the evaluators is calculated in cloud manufacturing platform based on the similarity measurement method. Then, the cloud manufacturing platform carries out the weighted aggregation of evaluation information and uses the ELECTRE III method to build the weak advantage relationship among indicators. Finally, the cloud manufacturing platform performs a VIKOR compromise calculation and selects the optimal supply-demand matching degree. At the end of the paper, an example is taken to evaluate the matching degree of supply-demand of robot machined parts, to demonstrate the practicability of the new method. Based on Canny algorithm, a robot action stability test platform is built to verify the calculation results of the new method.INDEX TERMS Canny algorithm, cloud manufacturing platform, ELECTRE III, supply-demand matching degree evaluation, VIKOR.

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“…This calculates the consistency index of the consistency matrix according to Eq. (29). For example, 𝛼 1 = 1 − 0.186+0.405 2 = 0.705.…”

Section: A a Case Analysismentioning

confidence: 99%

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

Pang,

Shi,

Dai

2024

IEEE Access

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“…Overall, securing data storage and sharing is a prerequisite for all innovative manufacturing applications and an important research direction for intelligent data management systems. A cloud-based innovative manufacturing system can be categorized bottom-up into physical device, communication, network, and application layers (H. Yang et al, 2022). The physical hardware layer is responsible for all the functions at the bottom of the system.…”

Section: Songmentioning

confidence: 99%

Digital Smart Manufacturing Context Urban Street Space Design Landscape Elements Retrofit Analysis

Song

2023

EAI Endorsed Trans Energy Web

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INTRODUCTION: With the growth of the economic level, China's urban residents' urban living standards are also increasingly high, which has produced the story of an urban street space design to improve the requirements. Moreover, with intelligent manufacturing and other computer technology to enhance the efficiency of various industries, smart manufacturing applied to urban spatial design landscapes also has a prototype. OBJECTIVES: To improve the level of digitization in China, the application of intelligent manufacturing in urban street space design; to promote the transformation of urban landscape elements, urban modernization will increase the level; to solve the problem of the urban environment improvement and economic development is not synchronized; to promote the modernization of urban development, enhance the level of urban informatization and intelligence. METHODS: Firstly establishes the Wells equation of the optimal path of intelligent manufacturing through the technique of theoretical exposition; secondly, analyzes people's demand for urban street space design by using the method of data statistics and analysis; lastly, summarizes the principles to be followed in the creation of urban street space and the construction outlook through case study. RESULTS: The Wells equation of the optimal path of smart manufacturing shows that intelligent manufacturing has a significant positive effect on the efficiency of urban street space design; the results of data statistics and analysis show that the current level of urban street space design cannot meet people's growing spiritual and cultural needs; the results of the case study show that the design of urban street space should follow the design principles of safety, closeness to nature, and human-centeredness. CONCLUSION: Urban street space design in the context of digital intelligent manufacturing should be done promptly, and the level of urban landscape design should be strengthened to meet people's growing spiritual and cultural needs in the post-New Crown epidemic era.

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“…In this mechanism, the ontology model is applied to encode the manufacturing process knowledge, and the existing primitive knowledge contained in the knowledge base deployed on the cloud platform and edge nodes is effectively screened, matched, and combined to realize the learning process between manufacturing resources. Yang [26] proposed a microservice-enabled condition monitoring platform for smart manufacturing systems, which effectively integrates the powerful computing and storage capabilities of the cloud layer and the real-time data analysis of the edge layer, and introduces the cloud-edge collaborative mechanism to realize real-time equipment fault diagnosis and improve its prediction accuracy. In addition, the microservice management system is applied to construct lightweight edge and cloud services, realizing the flexible deployment, and upgrading of manufacturing services.…”

Section: Industrial Internet Of Thingsmentioning

confidence: 99%

An Efficient IIoT Gateway for Cloud–Edge Collaboration in Cloud Manufacturing

et al. 2022

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The cloud manufacturing system can provide consumers with on-demand manufacturing services, which significantly improve the utilization rate of distributed manufacturing resources and the response speed of personalized product needs. In the cloud manufacturing platform, the successful implementation of various industrial applications relies on the uploading and streaming of related field-level manufacturing data. For example, the realization of manufacturing service composition application should match the manufacturing tasks with distributed manufacturing resources according to their working state data and performance measurement data. Therefore, this paper proposes a data integration and analysis framework of a cloud manufacturing system based on cloud–edge collaboration and the Industrial Internet of Things (IIoT). A service-oriented information model is established to uniformly describe the related operational data and functional attributes of heterogeneous manufacturing resources. Secondly, a real-time transmission and integration method of high-volume operational field and sensor data based on message middleware is proposed to realize the remote monitoring of distributed manufacturing resources and efficient distribution of related data. Finally, a cloud–edge collaboration mechanism is put forward to train and update the parameters of various artificial intelligence models deployed at edge gateways. In the experiment, taking the computer numerical control (CNC) lathe as an example, the effectiveness of the proposed manufacturing resource access method is verified. Taking the fault diagnosis model of the CNC lathe as an example, the efficiency of the proposed cloud–edge collaboration mechanism for model updating is verified.

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Microservices-based cloud-edge collaborative condition monitoring platform for smart manufacturing systems

Cited by 13 publications

References 39 publications

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform

Digital Smart Manufacturing Context Urban Street Space Design Landscape Elements Retrofit Analysis

An Efficient IIoT Gateway for Cloud–Edge Collaboration in Cloud Manufacturing

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