With the continuous enhancement of the functions and functions of mechanical products, the complexity and design difficulty of machinery are becoming higher and higher. Many companies directly use the more mature designs of the past in order to save money and time, and completely give up Innovating and designing new machinery. The purpose of this paper is to study the research and practice of the innovative design of mechanical scheme and its intelligent support system. This article analyzes the innovation and intelligent support system of the mechanical scheme in detail, and then determines the research direction and the feasibility and future possibilities of the goal according to specific references, and then conducts a large number of investigations on the innovation direction of the mechanical scheme. And the role is explained. The future proves the practicability of the mechanical design scheme after the redesign. Take the installation of a mechanical arm in a factory as an example. A new design of the mechanical arm was carried out, and the joints were improved while the basic properties of the mechanical arm remained unchanged. The moment of force proves the feasibility of the innovative design. Experimental research shows that the mechanical arm of a certain factory was redesigned on the basis of the innovative design of the mechanical scheme proposed in this paper. The joint torque of each manipulator has been correspondingly improved, and the torque of the big arm joint has increased by 21%. Left and right, prove the feasibility and practicability of the research direction of this article.
{"title":"Innovative Design of Mechanical Scheme and the Practice of Its Intelligent Support System","authors":"Nan Wang, Pin Yu, Jia‐Yin You","doi":"10.1145/3510858.3510959","DOIUrl":"https://doi.org/10.1145/3510858.3510959","url":null,"abstract":"With the continuous enhancement of the functions and functions of mechanical products, the complexity and design difficulty of machinery are becoming higher and higher. Many companies directly use the more mature designs of the past in order to save money and time, and completely give up Innovating and designing new machinery. The purpose of this paper is to study the research and practice of the innovative design of mechanical scheme and its intelligent support system. This article analyzes the innovation and intelligent support system of the mechanical scheme in detail, and then determines the research direction and the feasibility and future possibilities of the goal according to specific references, and then conducts a large number of investigations on the innovation direction of the mechanical scheme. And the role is explained. The future proves the practicability of the mechanical design scheme after the redesign. Take the installation of a mechanical arm in a factory as an example. A new design of the mechanical arm was carried out, and the joints were improved while the basic properties of the mechanical arm remained unchanged. The moment of force proves the feasibility of the innovative design. Experimental research shows that the mechanical arm of a certain factory was redesigned on the basis of the innovative design of the mechanical scheme proposed in this paper. The joint torque of each manipulator has been correspondingly improved, and the torque of the big arm joint has increased by 21%. Left and right, prove the feasibility and practicability of the research direction of this article.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"97 8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87705299","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}
Motion capture technology refers to setting trackers at the key parts of the measured object, measuring the coordinates and orientations of the measured object in physical space, and obtaining the data of three-dimensional coordinates after computer processing. After more than ten years, many excellent two-dimensional animated films and three-dimensional animated films emerged and created. Behind their success, there is no lack of "motion capture technology", a powerful "pushing hand". 3D motion animation, by using the motion capture system to attach real motion data to animated characters, has natural and smooth movements, continuity and strong sense of action strike, which is as natural and realistic as real characters' movements, and conforms to the development of people's aesthetic law. With the development of virtual reality technology, animation has stepped into the era of character action striving to be realistic. Animation has gradually developed from 2D to 3D, and motion capture technology has been widely used in the animation industry, showing unique advantages. However, with the wide application of two-dimensional motion capture technology in the process of two-dimensional live movie and three-dimensional animation creation, it is becoming more and more mature. This paper mainly aims at the main problems in the development of 3D motion capture technology in China, and promotes the development of Chinese film and television animation through the application of 3D motion capture technology.
{"title":"Design and Realization of 3D Movie Animation Production Management System Based on Motion Capture Technology","authors":"Wendong, Changjun Wang","doi":"10.1145/3510858.3511343","DOIUrl":"https://doi.org/10.1145/3510858.3511343","url":null,"abstract":"Motion capture technology refers to setting trackers at the key parts of the measured object, measuring the coordinates and orientations of the measured object in physical space, and obtaining the data of three-dimensional coordinates after computer processing. After more than ten years, many excellent two-dimensional animated films and three-dimensional animated films emerged and created. Behind their success, there is no lack of \"motion capture technology\", a powerful \"pushing hand\". 3D motion animation, by using the motion capture system to attach real motion data to animated characters, has natural and smooth movements, continuity and strong sense of action strike, which is as natural and realistic as real characters' movements, and conforms to the development of people's aesthetic law. With the development of virtual reality technology, animation has stepped into the era of character action striving to be realistic. Animation has gradually developed from 2D to 3D, and motion capture technology has been widely used in the animation industry, showing unique advantages. However, with the wide application of two-dimensional motion capture technology in the process of two-dimensional live movie and three-dimensional animation creation, it is becoming more and more mature. This paper mainly aims at the main problems in the development of 3D motion capture technology in China, and promotes the development of Chinese film and television animation through the application of 3D motion capture technology.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90279243","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 rapid development of information technology, computer technology and the Internet, various sectors of society have collected a large amount of data. At present, traditional statistical analysis models have limitations. Machine learning system is currently one of the main means to effectively solve problems such as data development and mining. Machine learning is a process of self-improvement using the computer system itself. Therefore, computer applications written by computers can be automated by accumulating practical experience. This article aims to study the application of machine learning algorithms in audit data analysis. Based on the analysis of audit information construction, audit data analysis system design principles, and audit data analysis system non-functional requirements analysis, the audit data analysis system is designed. The association rule algorithm in machine learning is used in audit data mining. Finally, the performance of the system is tested. The test results show that the performance of the system designed in this paper is unified with the pre-demand, which shows that the effectiveness of the system can be satisfied.
{"title":"Application of Machine Learning Algorithms in Audit Data Analysis","authors":"Jianyu Zhou","doi":"10.1145/3510858.3510881","DOIUrl":"https://doi.org/10.1145/3510858.3510881","url":null,"abstract":"In recent years, with the rapid development of information technology, computer technology and the Internet, various sectors of society have collected a large amount of data. At present, traditional statistical analysis models have limitations. Machine learning system is currently one of the main means to effectively solve problems such as data development and mining. Machine learning is a process of self-improvement using the computer system itself. Therefore, computer applications written by computers can be automated by accumulating practical experience. This article aims to study the application of machine learning algorithms in audit data analysis. Based on the analysis of audit information construction, audit data analysis system design principles, and audit data analysis system non-functional requirements analysis, the audit data analysis system is designed. The association rule algorithm in machine learning is used in audit data mining. Finally, the performance of the system is tested. The test results show that the performance of the system designed in this paper is unified with the pre-demand, which shows that the effectiveness of the system can be satisfied.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72950499","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 rapid development of economy and society, the popularization of computer is also rapid. It can be said that current social development has entered the information age. At present, many schools and enterprises have begun to use computers and mobile application networks to perform related tasks or manage information work platforms. Similarly, the information of college counselors can be managed by work management platform. This paper first briefly introduces the theoretical knowledge of Web and mobile applications; Secondly, it introduces the structure of the university counselor information management platform based on Web and mobile application. Finally, the network structure, main technologies and how to serve the platform are introduced in detail. According to the construction of the work management platform in this paper, on the basis of web and mobile application algorithm, the information work management platform of college counselors has made the work and allocation of counselors a lot of convenience, among which the highest reached 91.3%.
{"title":"College Counselor Information Management Platform Based on Web and Mobile Application","authors":"Ran Liu","doi":"10.1145/3510858.3510908","DOIUrl":"https://doi.org/10.1145/3510858.3510908","url":null,"abstract":"With the rapid development of economy and society, the popularization of computer is also rapid. It can be said that current social development has entered the information age. At present, many schools and enterprises have begun to use computers and mobile application networks to perform related tasks or manage information work platforms. Similarly, the information of college counselors can be managed by work management platform. This paper first briefly introduces the theoretical knowledge of Web and mobile applications; Secondly, it introduces the structure of the university counselor information management platform based on Web and mobile application. Finally, the network structure, main technologies and how to serve the platform are introduced in detail. According to the construction of the work management platform in this paper, on the basis of web and mobile application algorithm, the information work management platform of college counselors has made the work and allocation of counselors a lot of convenience, among which the highest reached 91.3%.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73049310","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 rapid development of information technology and the rapid popularization of Internet, the continuous innovation and upgrading of computer and interconnection technology have been brought about. Communication network fraud, as a new type of crime, usually uses mobile phones, fixed telephones, transparent transmission tools, pseudo base stations and other communication equipment, using false facts or covering up the truth to commit fraud. At present, communication network fraud is characterized by diversification of means, modernization of technology and concealment of methods. The public security organs should combine the current reality of public security work, and explore a practical investigation and prevention path in the fields of department linkage, capital investigation and control, combating upstream and downstream crimes, and technical prevention. In this paper, the network intrusion detection technology is studied, the intrusion detection process is analyzed, and the data mining algorithm and how to apply the data mining algorithm to the communication network fraud detection and prevention are studied.
{"title":"Research on Communication Network Fraud Detection and Prevention Countermeasures Based on Intrusion Detection Data Mining","authors":"Xin Meng","doi":"10.1145/3510858.3511385","DOIUrl":"https://doi.org/10.1145/3510858.3511385","url":null,"abstract":"With the rapid development of information technology and the rapid popularization of Internet, the continuous innovation and upgrading of computer and interconnection technology have been brought about. Communication network fraud, as a new type of crime, usually uses mobile phones, fixed telephones, transparent transmission tools, pseudo base stations and other communication equipment, using false facts or covering up the truth to commit fraud. At present, communication network fraud is characterized by diversification of means, modernization of technology and concealment of methods. The public security organs should combine the current reality of public security work, and explore a practical investigation and prevention path in the fields of department linkage, capital investigation and control, combating upstream and downstream crimes, and technical prevention. In this paper, the network intrusion detection technology is studied, the intrusion detection process is analyzed, and the data mining algorithm and how to apply the data mining algorithm to the communication network fraud detection and prevention are studied.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73709589","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}
Jundong Chen, Dezhuang Cao, Zhaoxi Wang, Qingru Lu
In recent years, with the development of Artificial Intelligence and Image Recognition Technology, the exploitation of assistive equipment for the disabled has become one of its popular application directions. In this research, we took STM32 as the core, build a convolutional neural network models for the living environment of visually impaired people, and designed an intelligent hardware device. The equipment also includes image acquisition, distance measurement, information broadcast and other modules, which finally realizes the effect of playing the recognition object name, distance and other information in real time. This paper introduces the working principle of various modules in the equipment, and provides a feasible idea for the application of image recognition technology in the auxiliary equipment for the blind.
{"title":"Visual Assistance System for the Visually Impaired people based on Image Recognition Technology","authors":"Jundong Chen, Dezhuang Cao, Zhaoxi Wang, Qingru Lu","doi":"10.1145/3510858.3511377","DOIUrl":"https://doi.org/10.1145/3510858.3511377","url":null,"abstract":"In recent years, with the development of Artificial Intelligence and Image Recognition Technology, the exploitation of assistive equipment for the disabled has become one of its popular application directions. In this research, we took STM32 as the core, build a convolutional neural network models for the living environment of visually impaired people, and designed an intelligent hardware device. The equipment also includes image acquisition, distance measurement, information broadcast and other modules, which finally realizes the effect of playing the recognition object name, distance and other information in real time. This paper introduces the working principle of various modules in the equipment, and provides a feasible idea for the application of image recognition technology in the auxiliary equipment for the blind.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"161 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73701145","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}
Aiming at the problem of moving target extraction, a target adaptive clustering extraction algorithm is proposed. Based on the perspective of digital labor alienation theory, on the basis of fully absorbing the existing research results, combined with the clustering extraction algorithm, this paper puts forward the analysis and Countermeasures of digital labor alienation based on clustering extraction algorithm. From the perspective of alienation, the alienation of digital labor profoundly affects everyone's life, resulting in ideological invasion, digital capital hegemony and digital fetishism. However, under the existing social production relations, we must weigh the advantages and disadvantages brought by digital labor, rationally look at the relationship between human liberation and labor alienation, and better develop digital labor and digital economy from the perspective of improving productivity.
{"title":"Analysis and Countermeasures of digital labor alienation based on clustering extraction algorithm","authors":"Shasha Zhang","doi":"10.1145/3510858.3511354","DOIUrl":"https://doi.org/10.1145/3510858.3511354","url":null,"abstract":"Aiming at the problem of moving target extraction, a target adaptive clustering extraction algorithm is proposed. Based on the perspective of digital labor alienation theory, on the basis of fully absorbing the existing research results, combined with the clustering extraction algorithm, this paper puts forward the analysis and Countermeasures of digital labor alienation based on clustering extraction algorithm. From the perspective of alienation, the alienation of digital labor profoundly affects everyone's life, resulting in ideological invasion, digital capital hegemony and digital fetishism. However, under the existing social production relations, we must weigh the advantages and disadvantages brought by digital labor, rationally look at the relationship between human liberation and labor alienation, and better develop digital labor and digital economy from the perspective of improving productivity.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74448666","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 development of the Internet, intelligence has become an indispensable part, especially in e-commerce, education, and medical treatment. The intelligent sports prediction system came into being. At present, most schools in our country have not established a scientific, reasonable, practical and effective intelligent sports forecasting analysis system for students. So it needs to be studied. This paper mainly uses comparative and experimental methods to compare and analyze the relative advantages of data fusion algorithms and the capabilities of different algorithms in data processing. It is concluded that the system designed in this paper has a higher accuracy of applying SVM algorithm, which can reach 87.25. Although the other methods take a shorter time, their accuracy is not as high as that of SVM.
{"title":"Intelligent Sports Prediction Analysis System Based on Data Fusion Algorithm","authors":"Zerong Jiang, Li Xiao","doi":"10.1145/3510858.3510985","DOIUrl":"https://doi.org/10.1145/3510858.3510985","url":null,"abstract":"With the development of the Internet, intelligence has become an indispensable part, especially in e-commerce, education, and medical treatment. The intelligent sports prediction system came into being. At present, most schools in our country have not established a scientific, reasonable, practical and effective intelligent sports forecasting analysis system for students. So it needs to be studied. This paper mainly uses comparative and experimental methods to compare and analyze the relative advantages of data fusion algorithms and the capabilities of different algorithms in data processing. It is concluded that the system designed in this paper has a higher accuracy of applying SVM algorithm, which can reach 87.25. Although the other methods take a shorter time, their accuracy is not as high as that of SVM.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74375799","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}
Yang Yang, Jianglong Fu, Jianguang. Zhao, Juan Hao, H. Sun, Xiaohui Qin
Event detection system is more and more used in road monitoring. This paper proposes a traffic multi state recognition system based on intelligent vision recognition technology. The gray change interval of frame difference is used to update the image background, and the pixel change control rule is introduced as the core software algorithm. Combined with traffic state monitoring data source, multi state traffic events such as congestion, pedestrian and parking are detected. The actual system test shows that the system can timely and accurately detect related traffic events, and has high detection accuracy. As an important part of intelligent transportation system, traffic incident automatic detection (AID) system plays an important role in avoiding traffic accidents, handling and controlling.
{"title":"Design of AID and Monitoring Function Based on Intelligent Vision","authors":"Yang Yang, Jianglong Fu, Jianguang. Zhao, Juan Hao, H. Sun, Xiaohui Qin","doi":"10.1145/3510858.3511360","DOIUrl":"https://doi.org/10.1145/3510858.3511360","url":null,"abstract":"Event detection system is more and more used in road monitoring. This paper proposes a traffic multi state recognition system based on intelligent vision recognition technology. The gray change interval of frame difference is used to update the image background, and the pixel change control rule is introduced as the core software algorithm. Combined with traffic state monitoring data source, multi state traffic events such as congestion, pedestrian and parking are detected. The actual system test shows that the system can timely and accurately detect related traffic events, and has high detection accuracy. As an important part of intelligent transportation system, traffic incident automatic detection (AID) system plays an important role in avoiding traffic accidents, handling and controlling.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77242735","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 rapid development of information technology and the continuous improvement of people's living standards, people's demand for electricity is becoming more and more concrete. Intelligent information management can greatly improve the operation efficiency of power system by monitoring various power parameters in the operation of the system. PSO (Particle Swam Optimization) algorithm is a simple and fast convergent evolutionary computation method, but it also has the disadvantages of low convergence accuracy and easy to fall into local extremum. In view of these shortcomings, the original algorithm is improved, and adaptive inertia coefficient and mutation operator are introduced based on intelligent information management. In this paper, a new modified particle swarm optimization (MPSO) algorithm is proposed and applied to reactive power optimization of power system, and the corresponding optimization model is established. At the initial stage of searching, the update of particle position is guided to reduce the randomness of algorithm and improve the searching efficiency. In order to further solve the problem that particles may fall into premature convergence in the later stage of optimization, the chaotic optimization has the characteristic of "strange attractor", and further search in the solution space, and the combination of the two can search for the global optimal solution more effectively. The algorithm specially codes discrete variables, which solves the problem of joint optimization of continuous and discrete variables, reduces network loss and reduces the number of equipment actions. The results of IEEE30-bus system verify the correctness and effectiveness of the proposed algorithm.
{"title":"Reactive Power Optimization of Power System Based on Intelligent Information Management","authors":"Rongyu Zhou, Heping Jia","doi":"10.1145/3510858.3511337","DOIUrl":"https://doi.org/10.1145/3510858.3511337","url":null,"abstract":"With the rapid development of information technology and the continuous improvement of people's living standards, people's demand for electricity is becoming more and more concrete. Intelligent information management can greatly improve the operation efficiency of power system by monitoring various power parameters in the operation of the system. PSO (Particle Swam Optimization) algorithm is a simple and fast convergent evolutionary computation method, but it also has the disadvantages of low convergence accuracy and easy to fall into local extremum. In view of these shortcomings, the original algorithm is improved, and adaptive inertia coefficient and mutation operator are introduced based on intelligent information management. In this paper, a new modified particle swarm optimization (MPSO) algorithm is proposed and applied to reactive power optimization of power system, and the corresponding optimization model is established. At the initial stage of searching, the update of particle position is guided to reduce the randomness of algorithm and improve the searching efficiency. In order to further solve the problem that particles may fall into premature convergence in the later stage of optimization, the chaotic optimization has the characteristic of \"strange attractor\", and further search in the solution space, and the combination of the two can search for the global optimal solution more effectively. The algorithm specially codes discrete variables, which solves the problem of joint optimization of continuous and discrete variables, reduces network loss and reduces the number of equipment actions. The results of IEEE30-bus system verify the correctness and effectiveness of the proposed algorithm.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81542388","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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