Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934720
Zekai Zhang
China has a large population, coupled with the rapid economic development in recent years, which promotes the rapid development of many industries; including the clothing industry is one of them. At present, China's clothing industry is well-known in the world, and also in the leading position in the world in terms of clothing consumption level. In recent years, the popularity of 3D printing technology has been very high, and it has been rapidly applied to many fields as soon as it came out. Now the technology has been gradually applied to the clothing industry. This paper selects two factories as experimental research object One factory applies 3D printing technology to its factory while the factory continue to adopt the original design method. The results of the experimental data show that the work efficiency and turnover rate of a unit are much higher than that of the unit. The highest work efficiency of factory a is 97%, and the highest turnover is 2.018 million yuan. The highest efficiency of factory B is 81%, and the highest turnover is 1.759 million yuan.
{"title":"Application of Computer 3D Printing Technology in Clothing Design","authors":"Zekai Zhang","doi":"10.23919/WAC55640.2022.9934720","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934720","url":null,"abstract":"China has a large population, coupled with the rapid economic development in recent years, which promotes the rapid development of many industries; including the clothing industry is one of them. At present, China's clothing industry is well-known in the world, and also in the leading position in the world in terms of clothing consumption level. In recent years, the popularity of 3D printing technology has been very high, and it has been rapidly applied to many fields as soon as it came out. Now the technology has been gradually applied to the clothing industry. This paper selects two factories as experimental research object One factory applies 3D printing technology to its factory while the factory continue to adopt the original design method. The results of the experimental data show that the work efficiency and turnover rate of a unit are much higher than that of the unit. The highest work efficiency of factory a is 97%, and the highest turnover is 2.018 million yuan. The highest efficiency of factory B is 81%, and the highest turnover is 1.759 million yuan.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132621541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934638
Zhimin Jing, Yan Li
The research direction is hybrid electric vehicle control system design and energy management strategy. The main purpose of this study is to study the control strategy of hybrid electric vehicle, which will be used as a substitute for traditional vehicles in the future. Based on the application of fuzzy logic technology, the proposed control strategy can provide better performance than traditional technologies such as PID controller and neural network. A method is developed by using fuzzy logic technology, which can be used to automatically adjust the transmission ratio. The purpose of this study is to develop an efficient control system for hybrid electric vehicles. The study will also help reduce fuel consumption and emissions and improve the overall performance of the vehicle. The aim is to find out how much money can be saved by using hybrid cars instead of traditional cars.
{"title":"Research on control system design and energy management strategy of hybrid electric vehicle","authors":"Zhimin Jing, Yan Li","doi":"10.23919/WAC55640.2022.9934638","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934638","url":null,"abstract":"The research direction is hybrid electric vehicle control system design and energy management strategy. The main purpose of this study is to study the control strategy of hybrid electric vehicle, which will be used as a substitute for traditional vehicles in the future. Based on the application of fuzzy logic technology, the proposed control strategy can provide better performance than traditional technologies such as PID controller and neural network. A method is developed by using fuzzy logic technology, which can be used to automatically adjust the transmission ratio. The purpose of this study is to develop an efficient control system for hybrid electric vehicles. The study will also help reduce fuel consumption and emissions and improve the overall performance of the vehicle. The aim is to find out how much money can be saved by using hybrid cars instead of traditional cars.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"116 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133969470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934607
Wenying Qiu, Weixi Gu
Sensor network is an application-based network. wireless communication network, it has the characteristics of large node scale, self-organizing multi hop, unattended, no communication infrastructure and so on. In order to understand the concept of sensor collaboration, let’s first understand what artificial intelligence is. The basic idea of artificial intelligence is that it can solve complex problems by using the ability of computers and other devices. It has existed for a long time, but only recently have we seen it applied to medical treatment, education, transportation and other fields. Experts said that artificial intelligence will soon become an indispensable part of our lives and will be able to solve many problems facing mankind. The ability to leverage these technologies has prompted some companies to develop applications using these technologies. Guided by artificial intelligence (AI), his paper summarizes and discusses the research status of energy consumption in wireless sensor networks at home and abroad.
{"title":"Research and analysis of sensor synergy based on Artificial Intelligence","authors":"Wenying Qiu, Weixi Gu","doi":"10.23919/WAC55640.2022.9934607","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934607","url":null,"abstract":"Sensor network is an application-based network. wireless communication network, it has the characteristics of large node scale, self-organizing multi hop, unattended, no communication infrastructure and so on. In order to understand the concept of sensor collaboration, let’s first understand what artificial intelligence is. The basic idea of artificial intelligence is that it can solve complex problems by using the ability of computers and other devices. It has existed for a long time, but only recently have we seen it applied to medical treatment, education, transportation and other fields. Experts said that artificial intelligence will soon become an indispensable part of our lives and will be able to solve many problems facing mankind. The ability to leverage these technologies has prompted some companies to develop applications using these technologies. Guided by artificial intelligence (AI), his paper summarizes and discusses the research status of energy consumption in wireless sensor networks at home and abroad.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125628677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the continuous development of modern information technology, my country has gradually entered the era of big data. The salient features of the big data era are rich data resources, convenient data processing and information exchange, and smoother learning and communication between people. The impact of big data on education is also very significant. This paper studies the online education big data platform based on data mining and data collection technology, uses data mining technology and data collection technology to design the online education big data platform, and tests the designed platform. The test results show that this paper improves the algorithm the accuracy of clustering analysis is good, and the number of errors is controlled within 5, and then the query time of the platform is tested. The time for the platform from data query to acceptance is within 30 minutes, which meets the requirements of platform design.
{"title":"Design of Online Education Big Data Platform Based on Data Mining and Data Collection Technology","authors":"Xueyun Zhou, Yongjun Qi, Hailing Tang, Shukun Zhang","doi":"10.23919/WAC55640.2022.9934187","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934187","url":null,"abstract":"With the continuous development of modern information technology, my country has gradually entered the era of big data. The salient features of the big data era are rich data resources, convenient data processing and information exchange, and smoother learning and communication between people. The impact of big data on education is also very significant. This paper studies the online education big data platform based on data mining and data collection technology, uses data mining technology and data collection technology to design the online education big data platform, and tests the designed platform. The test results show that this paper improves the algorithm the accuracy of clustering analysis is good, and the number of errors is controlled within 5, and then the query time of the platform is tested. The time for the platform from data query to acceptance is within 30 minutes, which meets the requirements of platform design.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134437059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, with the improvement of living standards, people's demand for electricity has gradually increased. With the rapid development of substation informatization and digitalization, intelligent analysis technology can conduct real-time status assessment of substation equipment and improve the efficiency of fault handling in smart substations. The purpose of this paper is to study the research and application of intelligent analysis technology in the design of substation condition monitoring system. This paper analyzes the requirements of the substation condition monitoring system based on intelligent analysis technology, and describes the application architecture of the system and the total volume architecture of the software in detail. This article tests the designed system, and the experimental results show that the system CPU utilization rate is maintained at 50%~60%, and the memory utilization rate is maintained at about 61%~64%. It can be seen that the various components of the system can coordinate and operate stably, and the resource utilization rate fluctuates little, indicating the feasibility of the system architecture.
{"title":"Application of Intelligent Analysis Technology in the Design of Substation Condition Monitoring System","authors":"Ninghui He, Pei Ding, Weiyan Sha, Xiuguang Li, Wen Li, Penggang Li","doi":"10.23919/WAC55640.2022.9934236","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934236","url":null,"abstract":"In recent years, with the improvement of living standards, people's demand for electricity has gradually increased. With the rapid development of substation informatization and digitalization, intelligent analysis technology can conduct real-time status assessment of substation equipment and improve the efficiency of fault handling in smart substations. The purpose of this paper is to study the research and application of intelligent analysis technology in the design of substation condition monitoring system. This paper analyzes the requirements of the substation condition monitoring system based on intelligent analysis technology, and describes the application architecture of the system and the total volume architecture of the software in detail. This article tests the designed system, and the experimental results show that the system CPU utilization rate is maintained at 50%~60%, and the memory utilization rate is maintained at about 61%~64%. It can be seen that the various components of the system can coordinate and operate stably, and the resource utilization rate fluctuates little, indicating the feasibility of the system architecture.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134578786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934126
Chao Li, Yong Li
The research on big data intelligent accounting algorithm is the research on the algorithm of processing a large amount of data. It is observed that the amount of data being generated is growing exponentially and will continue to grow exponentially in the coming years. The main goal of this research work is to develop a computer program that can process such a huge amount of information without any human intervention or supervision. This will help reduce costs and improve efficiency by eliminating human and errors in the system. The main advantage of using big data intelligent accounting algorithm is that it helps reduce costs by automating tasks Taking big data as the background and from the perspective of big accounting, this paper believes that accounting is an artificial system, and the essence of accounting is to take the form of behavioral value of economic activities as the main object. Due to the influence of social environment changes, accounting is facing practical, theoretical and technical challenges.
{"title":"Research and analysis of intelligent accounting algorithm under the background of big data","authors":"Chao Li, Yong Li","doi":"10.23919/WAC55640.2022.9934126","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934126","url":null,"abstract":"The research on big data intelligent accounting algorithm is the research on the algorithm of processing a large amount of data. It is observed that the amount of data being generated is growing exponentially and will continue to grow exponentially in the coming years. The main goal of this research work is to develop a computer program that can process such a huge amount of information without any human intervention or supervision. This will help reduce costs and improve efficiency by eliminating human and errors in the system. The main advantage of using big data intelligent accounting algorithm is that it helps reduce costs by automating tasks Taking big data as the background and from the perspective of big accounting, this paper believes that accounting is an artificial system, and the essence of accounting is to take the form of behavioral value of economic activities as the main object. Due to the influence of social environment changes, accounting is facing practical, theoretical and technical challenges.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133923483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934127
X. Yuan
With the exponential growth of various network resources, the use of search engine has become one of the most basic skills of everyone in today's society, and an efficient information retrieval model is also of more significance. The traditional text-based music information retrieval method can retrieve music data by inputting text information such as song name, composer, singer and album name. The content-based music information retrieval queries the target music through the input music melody information. In the actual music information retrieval scene, there is interaction between the user and the retrieval model. The user gives feedback on the retrieval results, and the retrieval model returns a new page of document according to this feedback. The existing ranking learning model regards ranking as a one-time process, ignores user feedback, and the ranking effect needs to be improved. With the increasing demand for digital music information and the continuous expansion of application fields based on massive music data sets, content-based music information retrieval method is attracting more and more researchers' attention.
{"title":"Research on music information retrieval algorithm based on deep learning","authors":"X. Yuan","doi":"10.23919/WAC55640.2022.9934127","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934127","url":null,"abstract":"With the exponential growth of various network resources, the use of search engine has become one of the most basic skills of everyone in today's society, and an efficient information retrieval model is also of more significance. The traditional text-based music information retrieval method can retrieve music data by inputting text information such as song name, composer, singer and album name. The content-based music information retrieval queries the target music through the input music melody information. In the actual music information retrieval scene, there is interaction between the user and the retrieval model. The user gives feedback on the retrieval results, and the retrieval model returns a new page of document according to this feedback. The existing ranking learning model regards ranking as a one-time process, ignores user feedback, and the ranking effect needs to be improved. With the increasing demand for digital music information and the continuous expansion of application fields based on massive music data sets, content-based music information retrieval method is attracting more and more researchers' attention.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133092829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934253
Qingze Yang, Jing Jiang
Development of network circle groups is not merely confined to technical sphere. Instead, its development has changed the structure of the entire social formation and individual existence and development mode, which is manifesting, day by day, a kind of cultural attribute. The social interaction "self-organization" manifested by network circle group has been digitalized; the topics of the content have been diversified and peripherized; and the social mobilization has been strengthened. Especially, more focus should be put on such significant themes as leading mechanism of the public opinions of emergencies. Several parties should get involved in forming a community of public opinion governance for network circle groups to enhance the efficacy of public opinion governance for network circle groups.
{"title":"An Analysis of Influential Factors of Information Dissemination among Network Circle Groups and a Study on Countermeasures","authors":"Qingze Yang, Jing Jiang","doi":"10.23919/WAC55640.2022.9934253","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934253","url":null,"abstract":"Development of network circle groups is not merely confined to technical sphere. Instead, its development has changed the structure of the entire social formation and individual existence and development mode, which is manifesting, day by day, a kind of cultural attribute. The social interaction \"self-organization\" manifested by network circle group has been digitalized; the topics of the content have been diversified and peripherized; and the social mobilization has been strengthened. Especially, more focus should be put on such significant themes as leading mechanism of the public opinions of emergencies. Several parties should get involved in forming a community of public opinion governance for network circle groups to enhance the efficacy of public opinion governance for network circle groups.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122284187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934418
Zilong Xu, Yong Zhu
Data is the foundation and source of wisdom for people to understand the real world through the world of information. Massive data is the foundation of computer networks, and people's lives are closely related to it. But with the increasing amount of data, people are also about to face the danger of data collapse and disorder. Therefore, it is very necessary to optimize the BDM system. This article is based on artificial intelligence technology to improve the big DM system. First, the characteristics of big data(BD) and the concept of DM are explained; then, on the basis of traditional DM technology, artificial intelligence technology is studied to improve and optimize the BDM system. Finally, the performance of the improved BDM system is tested and compared with the traditional technology. The test results show that the improved BDM system improves the efficiency of data classification.
{"title":"Construction of Big Data Ming System Based on Artificial Intelligence","authors":"Zilong Xu, Yong Zhu","doi":"10.23919/WAC55640.2022.9934418","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934418","url":null,"abstract":"Data is the foundation and source of wisdom for people to understand the real world through the world of information. Massive data is the foundation of computer networks, and people's lives are closely related to it. But with the increasing amount of data, people are also about to face the danger of data collapse and disorder. Therefore, it is very necessary to optimize the BDM system. This article is based on artificial intelligence technology to improve the big DM system. First, the characteristics of big data(BD) and the concept of DM are explained; then, on the basis of traditional DM technology, artificial intelligence technology is studied to improve and optimize the BDM system. Finally, the performance of the improved BDM system is tested and compared with the traditional technology. The test results show that the improved BDM system improves the efficiency of data classification.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121172579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934294
Jie Ju
A computer network is a network of self-organized wireless nodes or terminals that cooperate with each other, which is independent of fixed infrastructure and adopts distributed management. Since there are no fixed base stations and central nodes in the network, the wireless channel is highly time-varying, and the network topology is unstable. Therefore, the traditional network routing algorithm can meet the requirements of network service quality in the current era, and it is necessary to design a computer network with strong adaptability. This paper studies the computer network routing algorithm based on genetic algorithm, proposes a new computer network routing algorithm based on the genetic algorithm, and validates it by simulation experiments. The experimental results show that the optimized algorithm is better than the standard the algorithm has better latency, and the latency is roughly between 10-20s.
{"title":"Computer Network Routing Algorithm Based on Genetic Algorithm","authors":"Jie Ju","doi":"10.23919/WAC55640.2022.9934294","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934294","url":null,"abstract":"A computer network is a network of self-organized wireless nodes or terminals that cooperate with each other, which is independent of fixed infrastructure and adopts distributed management. Since there are no fixed base stations and central nodes in the network, the wireless channel is highly time-varying, and the network topology is unstable. Therefore, the traditional network routing algorithm can meet the requirements of network service quality in the current era, and it is necessary to design a computer network with strong adaptability. This paper studies the computer network routing algorithm based on genetic algorithm, proposes a new computer network routing algorithm based on the genetic algorithm, and validates it by simulation experiments. The experimental results show that the optimized algorithm is better than the standard the algorithm has better latency, and the latency is roughly between 10-20s.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121911841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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