The dynamic development of public transportation is an important means to alleviate urban traffic congestion, achieve green travel, and low carbon emissions. However, as China's urbanization process continues to accelerate, the problem of disorderly sprawl in cities has become more and more serious. The demand for public transportation in the vast suburbs is low and scattered. The city center arranges suburban buses through traditional public transportation, which inevitably leads to a waste of public transportation capacity and reduces the operating income of the bus company. This paper studies the urban-rural integrated bus route based on particle swarm algorithm, and studies the related theories of urban-rural integrated bus route based on literature data, and then designs the urban-rural integrated bus route optimization system based on particle swarm algorithm. In addition, the designed system is tested, and the result of the test shows that the optimization result of the transit rate of the bus is not very different from the actual one, and the error is within 1%.
{"title":"Urban-Rural Integrated Public Transport Route System Based on Particle Swarm Algorithm","authors":"Ying-Ying Zheng","doi":"10.1145/3510858.3510948","DOIUrl":"https://doi.org/10.1145/3510858.3510948","url":null,"abstract":"The dynamic development of public transportation is an important means to alleviate urban traffic congestion, achieve green travel, and low carbon emissions. However, as China's urbanization process continues to accelerate, the problem of disorderly sprawl in cities has become more and more serious. The demand for public transportation in the vast suburbs is low and scattered. The city center arranges suburban buses through traditional public transportation, which inevitably leads to a waste of public transportation capacity and reduces the operating income of the bus company. This paper studies the urban-rural integrated bus route based on particle swarm algorithm, and studies the related theories of urban-rural integrated bus route based on literature data, and then designs the urban-rural integrated bus route optimization system based on particle swarm algorithm. In addition, the designed system is tested, and the result of the test shows that the optimization result of the transit rate of the bus is not very different from the actual one, and the error is within 1%.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77919689","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}
This article in the understanding of equipment condition monitoring and early warning technique on the basis of the concept and application of, according to the existing equipment condition monitoring of a variety of methods, using L D I S C and S B R two forms of equipment running status in real time forecast and analysis, in order to clear theory of artificial intelligence and data mining technology in the application of machine condition monitoring value.
本文在了解设备状态监测预警技术的概念和应用的基础上，根据现有设备状态监测的多种方法，采用dl I S C和S B R两种形式对设备运行状态进行实时预测和分析，以明确人工智能理论和数据挖掘技术在机器状态监测中的应用价值。
{"title":"Application of Artificial Intelligence Based on Data Mining in State Monitoring of Mechanical Equipment","authors":"Jiacheng Tang, Ziyan Xu, Rui Li","doi":"10.1145/3510858.3511383","DOIUrl":"https://doi.org/10.1145/3510858.3511383","url":null,"abstract":"This article in the understanding of equipment condition monitoring and early warning technique on the basis of the concept and application of, according to the existing equipment condition monitoring of a variety of methods, using L D I S C and S B R two forms of equipment running status in real time forecast and analysis, in order to clear theory of artificial intelligence and data mining technology in the application of machine condition monitoring value.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78054235","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 implementation of the teaching evaluation system, colleges and universities have accumulated a large amount of teaching evaluation data, and it is urgent to improve teachers' English teaching ability. This research mainly discusses the design of an English teaching comprehensive ability assessment system based on K-means clustering algorithm. The cluster analysis module in the system is used to realize the comprehensive analysis and cluster analysis of the evaluation data involving all teachers. In the system designed in this study, students can input and modify the evaluation data of the instructor. Teachers can view the comprehensive evaluation results of classes and courses. Teaching administrators can classify and query the evaluation results of all teachers and the analysis and processing of the results, as well as the K-means cluster analysis results. The system administrator can modify the indicators and weights, and set the teaching plan. In student evaluation, the average evaluation score of male teachers is higher than that of female teachers, with a difference of 34.6 in the highest score. This article will help improve the teaching quality of teachers.
{"title":"English Teaching Comprehensive Ability Evaluation System Based on K-means Clustering Algorithm","authors":"Hongyan Sang","doi":"10.1145/3510858.3510909","DOIUrl":"https://doi.org/10.1145/3510858.3510909","url":null,"abstract":"With the implementation of the teaching evaluation system, colleges and universities have accumulated a large amount of teaching evaluation data, and it is urgent to improve teachers' English teaching ability. This research mainly discusses the design of an English teaching comprehensive ability assessment system based on K-means clustering algorithm. The cluster analysis module in the system is used to realize the comprehensive analysis and cluster analysis of the evaluation data involving all teachers. In the system designed in this study, students can input and modify the evaluation data of the instructor. Teachers can view the comprehensive evaluation results of classes and courses. Teaching administrators can classify and query the evaluation results of all teachers and the analysis and processing of the results, as well as the K-means cluster analysis results. The system administrator can modify the indicators and weights, and set the teaching plan. In student evaluation, the average evaluation score of male teachers is higher than that of female teachers, with a difference of 34.6 in the highest score. This article will help improve the teaching quality of teachers.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76200536","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}
Zhongping Yu, Honglian Zhou, Juan Ren, Chaoshan Xin, Wei Wang
With the development of economy, countries all over the world pay more attention to the rational development and utilization of new energy, and pursue new energy security and greenhouse gas emission reduction, making energy consumption further develop in the sustainable direction of energy saving, high efficiency, cleanliness and low carbon. Starting from the actual needs of the development of the new energy industry, this article designs a new energy demand service support system based on WEB analysis, discovers hidden and potentially useful information about new energy demand from the massive data of existing Internet WEB resources, and through the analysis of recent. The annual average growth rate of new energy production was investigated, and it was found that solar energy was the most in demand. Its average annual production growth rate reached 27.11%, and then the average production growth rate of wind energy reached 21.47%, indicating that the demand for wind energy is only Second to solar energy.
{"title":"System Design of New Energy Demand Service Based on WEB Analysis","authors":"Zhongping Yu, Honglian Zhou, Juan Ren, Chaoshan Xin, Wei Wang","doi":"10.1145/3510858.3510928","DOIUrl":"https://doi.org/10.1145/3510858.3510928","url":null,"abstract":"With the development of economy, countries all over the world pay more attention to the rational development and utilization of new energy, and pursue new energy security and greenhouse gas emission reduction, making energy consumption further develop in the sustainable direction of energy saving, high efficiency, cleanliness and low carbon. Starting from the actual needs of the development of the new energy industry, this article designs a new energy demand service support system based on WEB analysis, discovers hidden and potentially useful information about new energy demand from the massive data of existing Internet WEB resources, and through the analysis of recent. The annual average growth rate of new energy production was investigated, and it was found that solar energy was the most in demand. Its average annual production growth rate reached 27.11%, and then the average production growth rate of wind energy reached 21.47%, indicating that the demand for wind energy is only Second to solar energy.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"295 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76352758","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 today's video technology, new video coding standards are constantly being developed and widely used. Motion estimation is an important part of the video coding system, which can effectively remove the time redundancy between adjacent images in video linkage, and significantly improve coding efficiency. A large number of motion estimation calculations have significantly increased the computational complexity of the video coding system, so finding simple and efficient motion estimation algorithms has always been a research topic in the field of video coding. The current research on athletes' sports evaluation algorithms aims to understand how to effectively link faster sports evaluation algorithms with these new technologies to improve coding. By consulting a large number of literature and questionnaire surveys, this paper gives a detailed overview of the algorithm for the detection and extraction of sports targets and the shadow detection of sports targets. It studies the statistics of athletes' detection accuracy in track and field competitions in a sports college and investigates the statistics on a fitness APP. Detected data on the frequency of male and female track athletes exercising several times a month, and a fitness center uses intelligent optimization algorithms to detect the exercise data of male and female athletes, and the satisfaction of male and female users with the detection experience. Experiments show that the intelligent optimization algorithm proposed in this paper can effectively combine the motion detection characteristics of passengers and athletes with the concrete algorithm, select the appropriate particles, capture the appropriate termination strategy, and calculate the complexity, in order to improve the accuracy of the investigation and reduce the calculation Complexity will develop the same control points and appropriate design constraints.
{"title":"Athlete Detection and Shadow Removal Algorithm in Track and Field Competition Based on Intelligent Optimization Algorithm","authors":"Q. Yao, Ying Zheng","doi":"10.1145/3510858.3510964","DOIUrl":"https://doi.org/10.1145/3510858.3510964","url":null,"abstract":"With the rapid development of today's video technology, new video coding standards are constantly being developed and widely used. Motion estimation is an important part of the video coding system, which can effectively remove the time redundancy between adjacent images in video linkage, and significantly improve coding efficiency. A large number of motion estimation calculations have significantly increased the computational complexity of the video coding system, so finding simple and efficient motion estimation algorithms has always been a research topic in the field of video coding. The current research on athletes' sports evaluation algorithms aims to understand how to effectively link faster sports evaluation algorithms with these new technologies to improve coding. By consulting a large number of literature and questionnaire surveys, this paper gives a detailed overview of the algorithm for the detection and extraction of sports targets and the shadow detection of sports targets. It studies the statistics of athletes' detection accuracy in track and field competitions in a sports college and investigates the statistics on a fitness APP. Detected data on the frequency of male and female track athletes exercising several times a month, and a fitness center uses intelligent optimization algorithms to detect the exercise data of male and female athletes, and the satisfaction of male and female users with the detection experience. Experiments show that the intelligent optimization algorithm proposed in this paper can effectively combine the motion detection characteristics of passengers and athletes with the concrete algorithm, select the appropriate particles, capture the appropriate termination strategy, and calculate the complexity, in order to improve the accuracy of the investigation and reduce the calculation Complexity will develop the same control points and appropriate design constraints.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84843382","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}
The application of network information technology and the popularization of multimedia teaching facilities have further enriched school education methods. Badminton is a net-resistant sport that requires very strict requirements for body, technology, wisdom, etc., and the standardization of technical actions is also quite high. Therefore, multimedia video or image courses optimized by the Heap sort algorithm can be used. As an auxiliary means to enhance the teaching effect. This article investigated 48 students’ interest in learning badminton in college badminton optional courses. 50% of the students are interested in playing badminton, 29.17% of the students are generally interested in playing badminton, and 20.83% of the students are not interested in playing badminton. Compared with traditional teaching, the actual use of video and image teaching methods in badminton courses can more arouse students' enthusiasm, promote teacher-student exchanges, and improve teaching quality.
{"title":"College Badminton Multimedia Video Image Teaching System Based on Heap Sort Algorithm","authors":"Ziying Sheng, Kai Wen","doi":"10.1145/3510858.3510977","DOIUrl":"https://doi.org/10.1145/3510858.3510977","url":null,"abstract":"The application of network information technology and the popularization of multimedia teaching facilities have further enriched school education methods. Badminton is a net-resistant sport that requires very strict requirements for body, technology, wisdom, etc., and the standardization of technical actions is also quite high. Therefore, multimedia video or image courses optimized by the Heap sort algorithm can be used. As an auxiliary means to enhance the teaching effect. This article investigated 48 students’ interest in learning badminton in college badminton optional courses. 50% of the students are interested in playing badminton, 29.17% of the students are generally interested in playing badminton, and 20.83% of the students are not interested in playing badminton. Compared with traditional teaching, the actual use of video and image teaching methods in badminton courses can more arouse students' enthusiasm, promote teacher-student exchanges, and improve teaching quality.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87971054","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}
The current development of information technology provides a more ideal way to protect intangible cultural heritage, and digital technology also provides a broad space for the protection of intangible cultural heritage. Digital protection of intangible cultural heritage has become a new hot spot for intangible material protection, and the intangible cultural heritage research society has left many intangible cultural heritage archives, which are collected and recorded in digital libraries through digital media, so digital protection technology has become an important way to realize the protection of intangible cultural heritage, and it is also recognized as the most scientific way to preserve and protect intangible cultural heritage. This article focuses on the research of intangible cultural heritage digital protection technology and system based on information technology, and understands related theories of intangible cultural heritage digital protection on the basis of literature data, and then designs the intangible cultural heritage digital protection system based on information technology. The system tests, and the test results show that the average response time of the system login operation is 2.5 s, but the response time of the system increases slightly as the number of users increases.
{"title":"Intangible Cultural Heritage Digital Protection Technology and System Based on Information Technology","authors":"Yuanbo Gou","doi":"10.1145/3510858.3510927","DOIUrl":"https://doi.org/10.1145/3510858.3510927","url":null,"abstract":"The current development of information technology provides a more ideal way to protect intangible cultural heritage, and digital technology also provides a broad space for the protection of intangible cultural heritage. Digital protection of intangible cultural heritage has become a new hot spot for intangible material protection, and the intangible cultural heritage research society has left many intangible cultural heritage archives, which are collected and recorded in digital libraries through digital media, so digital protection technology has become an important way to realize the protection of intangible cultural heritage, and it is also recognized as the most scientific way to preserve and protect intangible cultural heritage. This article focuses on the research of intangible cultural heritage digital protection technology and system based on information technology, and understands related theories of intangible cultural heritage digital protection on the basis of literature data, and then designs the intangible cultural heritage digital protection system based on information technology. The system tests, and the test results show that the average response time of the system login operation is 2.5 s, but the response time of the system increases slightly as the number of users increases.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88467740","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}
S. Zhan, Keqian Tang, Kaixuan Chang, Liang Yuan, Shuo Liu, Zhaoming Li
With the development of Internet finance industry, there are more and more fraud means in credit business. How to effectively prevent credit fraud and reduce credit risk has become a key research topic for financial institutions. Based on the big data of electric power, the evaluation index of enterprise production and operation is established, and the real and objective enterprise production and operation situation is provided for financial units according to the scoring standard. This can assist the decision-making financial units to evaluate the risk of enterprises in the pre loan link, effectively reduce the financing risk of enterprises, and avoid bad debts and non-performing assets.
{"title":"Credit Anti Fraud Identification Method Based on Power Big Data","authors":"S. Zhan, Keqian Tang, Kaixuan Chang, Liang Yuan, Shuo Liu, Zhaoming Li","doi":"10.1145/3510858.3511373","DOIUrl":"https://doi.org/10.1145/3510858.3511373","url":null,"abstract":"With the development of Internet finance industry, there are more and more fraud means in credit business. How to effectively prevent credit fraud and reduce credit risk has become a key research topic for financial institutions. Based on the big data of electric power, the evaluation index of enterprise production and operation is established, and the real and objective enterprise production and operation situation is provided for financial units according to the scoring standard. This can assist the decision-making financial units to evaluate the risk of enterprises in the pre loan link, effectively reduce the financing risk of enterprises, and avoid bad debts and non-performing assets.","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":"91000209","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 medical technology, veterinary clinical trials are increasingly used in disease diagnosis, prevention and treatment. Animal testing is a science that can be directly observed under routine conditions without human intervention. It has the characteristics of randomness, strong accuracy and objectivity. Therefore, in order to ensure the correctness of the test information, it must be strictly controlled; on the other hand, it is necessary to ensure that the test results are correct before the final valid data information can be obtained. Since every information category on the Internet has a large amount of data, collecting information on the Internet, extracting necessary information, and analyzing and recommending based on user behavior will have a huge impact on the online market. At the same time, information extraction technology can be widely used in various fields, but current applications and implementations are mainly concentrated in specific fields. How to extract information more quickly and accurately and improve the quality and performance of extraction is also a hot and difficult point. In order to increase the awareness of relevant departments on the importance of laboratory testing and testing, strengthen the construction of veterinary drug laboratories. This article adopts experimental analysis and data analysis methods, and aims to use the advantages of information extraction and recognition algorithms to extract effective data from veterinary laboratory test reports more accurately and efficiently, and to improve the quality and performance of information extraction. According to the research results, under the test template, the extraction speed of the test sheet to be tested is faster, and the extraction accuracy is higher than the recognition accuracy, and the recognition ability needs to be further improved.
{"title":"Information Extraction and Recognition Algorithm of Test Sheet in Veterinary Laboratory","authors":"Haiping Wang","doi":"10.1145/3510858.3510969","DOIUrl":"https://doi.org/10.1145/3510858.3510969","url":null,"abstract":"With the development of medical technology, veterinary clinical trials are increasingly used in disease diagnosis, prevention and treatment. Animal testing is a science that can be directly observed under routine conditions without human intervention. It has the characteristics of randomness, strong accuracy and objectivity. Therefore, in order to ensure the correctness of the test information, it must be strictly controlled; on the other hand, it is necessary to ensure that the test results are correct before the final valid data information can be obtained. Since every information category on the Internet has a large amount of data, collecting information on the Internet, extracting necessary information, and analyzing and recommending based on user behavior will have a huge impact on the online market. At the same time, information extraction technology can be widely used in various fields, but current applications and implementations are mainly concentrated in specific fields. How to extract information more quickly and accurately and improve the quality and performance of extraction is also a hot and difficult point. In order to increase the awareness of relevant departments on the importance of laboratory testing and testing, strengthen the construction of veterinary drug laboratories. This article adopts experimental analysis and data analysis methods, and aims to use the advantages of information extraction and recognition algorithms to extract effective data from veterinary laboratory test reports more accurately and efficiently, and to improve the quality and performance of information extraction. According to the research results, under the test template, the extraction speed of the test sheet to be tested is faster, and the extraction accuracy is higher than the recognition accuracy, and the recognition ability needs to be further improved.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77743465","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 my country's transportation industry, people's travel has become more and more convenient, and the smooth operation of trains cannot be separated from the signal transmission of railway signal equipment. Now digital signal processing technology is beginning to be widely used. The railway signal interlocking system is the switch of the automatic control signal circuit, which can realize remote automatic operation and plays a vital role in the safety of the train. Through in-depth research on the automatic control and intelligence of railway signal equipment, the combination of relay interlocking and computer technology can optimize railway automation control technology, replacing traditional manual operation. Starting from the current development of railway signal equipment, the article compares the differences between the two interlocking systems of relay interlocking and computer interlocking, and emphasizes that the electrical characteristics of key equipment relays should be strengthened, which has a certain degree of realization of the automatic control of railway signal equipment. Theoretical and practical significance.
{"title":"Research on Automatic Control Technology of Railway Signal Equipment","authors":"Zhiyuan Liang","doi":"10.1145/3510858.3510949","DOIUrl":"https://doi.org/10.1145/3510858.3510949","url":null,"abstract":"With the rapid development of my country's transportation industry, people's travel has become more and more convenient, and the smooth operation of trains cannot be separated from the signal transmission of railway signal equipment. Now digital signal processing technology is beginning to be widely used. The railway signal interlocking system is the switch of the automatic control signal circuit, which can realize remote automatic operation and plays a vital role in the safety of the train. Through in-depth research on the automatic control and intelligence of railway signal equipment, the combination of relay interlocking and computer technology can optimize railway automation control technology, replacing traditional manual operation. Starting from the current development of railway signal equipment, the article compares the differences between the two interlocking systems of relay interlocking and computer interlocking, and emphasizes that the electrical characteristics of key equipment relays should be strengthened, which has a certain degree of realization of the automatic control of railway signal equipment. Theoretical and practical significance.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83325597","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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