Pub Date : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00045
Hong Zhang
In 2016, there were amount of news of new technological breakthroughs in the field of machine translation at home and abroad. Whether machine translation can replace human translation has become one of the hot topics in academic circles. This paper argues that in specific restricted language translation, machines translation has provided people with convenient and efficient services, but on the whole, the translation quality of machine translation is not as good as human translation and can not replace human translation in a short time. Translation quality assessment is an important sub task in the field of machine translation. At present, translation quality assessment has a good performance in Chinese-English, English-German machine translation, and the technology is relatively mature. However, applying the model to the machine translation of Haihunhou publicity text still has many problems. Compared with the parallel corpus of manual translation, the differences of machine translation in terms translation, vocabulary discrimination, syntactic analysis and symbol translation in Haihunhou publicity text provide a corpus analysis basis for improving the machine translation system.
{"title":"Comparison between Human Translation and Machine Translation in Translating the Publicity Text of Haihunhou Museum","authors":"Hong Zhang","doi":"10.1109/ICNISC57059.2022.00045","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00045","url":null,"abstract":"In 2016, there were amount of news of new technological breakthroughs in the field of machine translation at home and abroad. Whether machine translation can replace human translation has become one of the hot topics in academic circles. This paper argues that in specific restricted language translation, machines translation has provided people with convenient and efficient services, but on the whole, the translation quality of machine translation is not as good as human translation and can not replace human translation in a short time. Translation quality assessment is an important sub task in the field of machine translation. At present, translation quality assessment has a good performance in Chinese-English, English-German machine translation, and the technology is relatively mature. However, applying the model to the machine translation of Haihunhou publicity text still has many problems. Compared with the parallel corpus of manual translation, the differences of machine translation in terms translation, vocabulary discrimination, syntactic analysis and symbol translation in Haihunhou publicity text provide a corpus analysis basis for improving the machine translation system.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"436 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132558935","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}
Based on the application background of PROTOS70 cigarette machine widely used in the tobacco industry, this paper designs and implements a high-precision online cigarette sampling device, which can automatically sample the cigarettes produced by the cigarette machine online and send them to the C2 cigarette quality detector. The results show that the system can realize the function of cigarette non-destructive sampling, improve the degree of cigarette detection automation, prevent the occurrence of batch quality accidents, and realize the intellectualization of cigarette quality control.
{"title":"Design of High Precision Cigarette Online Sampling Device","authors":"H. Lu, Shunkai Sun, Sixiao Chen, Weilin Cao, Zhoufan Huang, Meng Shu, Yingxiao Chi, Liang Chen","doi":"10.1109/ICNISC57059.2022.00177","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00177","url":null,"abstract":"Based on the application background of PROTOS70 cigarette machine widely used in the tobacco industry, this paper designs and implements a high-precision online cigarette sampling device, which can automatically sample the cigarettes produced by the cigarette machine online and send them to the C2 cigarette quality detector. The results show that the system can realize the function of cigarette non-destructive sampling, improve the degree of cigarette detection automation, prevent the occurrence of batch quality accidents, and realize the intellectualization of cigarette quality control.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131888700","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00067
Jun Peng, Xiaoyu Jia
Purpose: To analyze the current research on the cultivation of advertising creative talents in colleges and universities in the era of “artificial intelligence+”. Approach: Discuss the reform and significance of the current training of advertising creative talents based on “artificial intelligence +” from the aspects of education methods and influence of artificial intelligence for advertising creative talents in colleges and universities, and the path of social-oriented innovation model. Results: Artificial intelligence technology has led to the emergence of new communication methods for advertising, and the demands for advertising creative talents have begun to shift to digital creativity and technological creativity, prompting colleges and universities to take a new look at the education of advertising creative talents. Conclusion: With the development of Internet and artificial intelligence, the cultivation of advertising creative talents in colleges and universities is moving from the traditional mode to the “artificial intelligence +” technology education mode. In the context of “AI+”, we should integrate different disciplines to stimulate creativity; deepen the university-enterprise-industry collaborative education; promote the “course-competition-integrated” education model; improve the digital literacy of advertising creative talents; and layout the AI education system. This study provides some innovative ideas and reference for the current advertising creative talents training mode in colleges and universities.
{"title":"Research on the Training Mode of Advertising Creative Talents in Colleges and Universities from the Perspective of “Artificial Intelligence+”","authors":"Jun Peng, Xiaoyu Jia","doi":"10.1109/ICNISC57059.2022.00067","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00067","url":null,"abstract":"Purpose: To analyze the current research on the cultivation of advertising creative talents in colleges and universities in the era of “artificial intelligence+”. Approach: Discuss the reform and significance of the current training of advertising creative talents based on “artificial intelligence +” from the aspects of education methods and influence of artificial intelligence for advertising creative talents in colleges and universities, and the path of social-oriented innovation model. Results: Artificial intelligence technology has led to the emergence of new communication methods for advertising, and the demands for advertising creative talents have begun to shift to digital creativity and technological creativity, prompting colleges and universities to take a new look at the education of advertising creative talents. Conclusion: With the development of Internet and artificial intelligence, the cultivation of advertising creative talents in colleges and universities is moving from the traditional mode to the “artificial intelligence +” technology education mode. In the context of “AI+”, we should integrate different disciplines to stimulate creativity; deepen the university-enterprise-industry collaborative education; promote the “course-competition-integrated” education model; improve the digital literacy of advertising creative talents; and layout the AI education system. This study provides some innovative ideas and reference for the current advertising creative talents training mode in colleges and universities.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132239952","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00141
Heng-I Chen, Shikun Zhou, Lei Shi, Y. Yue, Ninggang An
Fault diagnosis methods based on deep learning have a strong ability to distinguish faults with unknown mechanisms in the field of mechanical fault diagnosis. However, when the noise interference is strong, the accuracy of the model will decrease to a certain extent. This paper proposes an anti-noise fault diagnosis model named APR-CNN. The model is designed based on a two-dimensional convolutional neural network, which uses the wavelet time-frequency images as input. According to the characteristic of the periodic transformation of the wavelet time-frequency image of the bearing signals, average pooling on rows method is used to compress the time domain information and extract the features effectively. Compared with classical methods on the open-source bearing fault dataset, experiments show that the APR-CNN model can still have an accuracy rate of 98% even in a noisy environment with SNR of −10, which is at least 30% higher than other methods.
{"title":"Anti-noise Fault Diagnosis Model Based on Convolutional Neural Network","authors":"Heng-I Chen, Shikun Zhou, Lei Shi, Y. Yue, Ninggang An","doi":"10.1109/ICNISC57059.2022.00141","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00141","url":null,"abstract":"Fault diagnosis methods based on deep learning have a strong ability to distinguish faults with unknown mechanisms in the field of mechanical fault diagnosis. However, when the noise interference is strong, the accuracy of the model will decrease to a certain extent. This paper proposes an anti-noise fault diagnosis model named APR-CNN. The model is designed based on a two-dimensional convolutional neural network, which uses the wavelet time-frequency images as input. According to the characteristic of the periodic transformation of the wavelet time-frequency image of the bearing signals, average pooling on rows method is used to compress the time domain information and extract the features effectively. Compared with classical methods on the open-source bearing fault dataset, experiments show that the APR-CNN model can still have an accuracy rate of 98% even in a noisy environment with SNR of −10, which is at least 30% higher than other methods.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134311927","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00187
Song Tang, Zhiqiang Wang, Suli Ge
With the development of information technology, blockchain technology has been increasingly used in all walks of life due to its features of decentralization, openness and transparency, and immutability. In view of the lack of a traceability model that covers the production and circulation links of the entire industrial chain and effectively realizes the multi-source aggregation of traceability data, the lack of data integration and applicability, the lack of data support and decision analysis, etc. This paper proposes to build a quality improvement platform for the agricultural industry chain based on blockchain technology. Using the technical characteristics of blockchain technology such as secure encryption, non-tampering, and traceability, it can increase the end-to-end data transparency of the supply chain, reduce transaction costs, and improve the supply chain. Endorsement of trust between upstream and downstream. Integrate blockchain technology into the agricultural product traceability platform to improve the authenticity of system data, and carry out systematic and informatized upgrades and transformations for production, transaction, procurement, logistics, distribution and other links, so as to achieve end-to-end digital and intelligent transformation.
{"title":"Application Research on Quality Improvement of Agricultural Industry Chain Based on Blockchain Technology","authors":"Song Tang, Zhiqiang Wang, Suli Ge","doi":"10.1109/ICNISC57059.2022.00187","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00187","url":null,"abstract":"With the development of information technology, blockchain technology has been increasingly used in all walks of life due to its features of decentralization, openness and transparency, and immutability. In view of the lack of a traceability model that covers the production and circulation links of the entire industrial chain and effectively realizes the multi-source aggregation of traceability data, the lack of data integration and applicability, the lack of data support and decision analysis, etc. This paper proposes to build a quality improvement platform for the agricultural industry chain based on blockchain technology. Using the technical characteristics of blockchain technology such as secure encryption, non-tampering, and traceability, it can increase the end-to-end data transparency of the supply chain, reduce transaction costs, and improve the supply chain. Endorsement of trust between upstream and downstream. Integrate blockchain technology into the agricultural product traceability platform to improve the authenticity of system data, and carry out systematic and informatized upgrades and transformations for production, transaction, procurement, logistics, distribution and other links, so as to achieve end-to-end digital and intelligent transformation.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133374402","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00118
Zhixiao Wang, Wenyao Yan, Zhuochun Li, Min Huang, Qinyuan Fan, Xin Wang
Domestic violence (DV) is getting more and more attention due to the critical trouble and danger that pose great challenge to human rights and health. The popularity of various social medias can help these victims to share their experiences and obtain more possible support from numerous open communities. However, it is not only inefficient but also laborious and time-consuming to manually access and browse through a great deal of available posts on the Internet and social media space. Therefore, considering the advantages of Deep Learning (DL) technology in Natural Language Processing, adopting DL as an efficient strategy for automatic recognition and evaluation of DV victims is in the urgent requirements. This paper takes social media Facebook posts about domestic violence as the research object and uses Word2Vec to build word vector model. The paper uses Bi-LSTM+self-Attention deep learning models to accomplish DV crisis recognition task and compares it with CNN, RNN and LSTM. The assessment of experimental results show that the accuracy of CNN and LSTM are both above 90% which is better than RNN; And the accuracy of Bi-LSTM is the highest after using the Attention mechanism. The research results of this article will provide reference and help for public DVCS to rescue DV victims.
{"title":"Domestic Violence Crisis Recognition Method based on Bi-LSTM+Attention","authors":"Zhixiao Wang, Wenyao Yan, Zhuochun Li, Min Huang, Qinyuan Fan, Xin Wang","doi":"10.1109/ICNISC57059.2022.00118","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00118","url":null,"abstract":"Domestic violence (DV) is getting more and more attention due to the critical trouble and danger that pose great challenge to human rights and health. The popularity of various social medias can help these victims to share their experiences and obtain more possible support from numerous open communities. However, it is not only inefficient but also laborious and time-consuming to manually access and browse through a great deal of available posts on the Internet and social media space. Therefore, considering the advantages of Deep Learning (DL) technology in Natural Language Processing, adopting DL as an efficient strategy for automatic recognition and evaluation of DV victims is in the urgent requirements. This paper takes social media Facebook posts about domestic violence as the research object and uses Word2Vec to build word vector model. The paper uses Bi-LSTM+self-Attention deep learning models to accomplish DV crisis recognition task and compares it with CNN, RNN and LSTM. The assessment of experimental results show that the accuracy of CNN and LSTM are both above 90% which is better than RNN; And the accuracy of Bi-LSTM is the highest after using the Attention mechanism. The research results of this article will provide reference and help for public DVCS to rescue DV victims.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122982913","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00164
Zhihui Yi, Han Zhang, Chao Xu, Qingquan Jiang
In order to actively respond to the national optimization of the business environment, fully integrate the responsibilities of the original land resources, planning and other departments, promoting the overall high-quality development of the regional digital economy by means of information technology has become a current priority. However, the natural resources sector has existing problems such as data islands, scattered business, and longtime consumption. Taking Guangxin District, Shangrao City as an example, this paper proposes to construct the integrated information platform of natural resources in the county area by utilizing advanced technologies such as multi-user concurrent access, long-term transaction processing, and integrated data model-driven database building technology, comprehensively enhance the informatization level and open-sharing ability of grassroots units, and improve the level of refinement and intelligence of management, which has certain reference significance for the construction work in other similar areas.
{"title":"Design and Implementation of County-level Natural Resource Integration Information Platform in Guangxin District of Shangrao City","authors":"Zhihui Yi, Han Zhang, Chao Xu, Qingquan Jiang","doi":"10.1109/ICNISC57059.2022.00164","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00164","url":null,"abstract":"In order to actively respond to the national optimization of the business environment, fully integrate the responsibilities of the original land resources, planning and other departments, promoting the overall high-quality development of the regional digital economy by means of information technology has become a current priority. However, the natural resources sector has existing problems such as data islands, scattered business, and longtime consumption. Taking Guangxin District, Shangrao City as an example, this paper proposes to construct the integrated information platform of natural resources in the county area by utilizing advanced technologies such as multi-user concurrent access, long-term transaction processing, and integrated data model-driven database building technology, comprehensively enhance the informatization level and open-sharing ability of grassroots units, and improve the level of refinement and intelligence of management, which has certain reference significance for the construction work in other similar areas.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922680","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00104
Hui Chang
In recent years, cloud services in the Internet field has been a hot topic, after several years of explosive technology development and several years of market precipitation, the cloud platform finally achieved universal unification in 2017, and Kubernetes (often referred to as k8s), an open source container cluster management system from Google Cloud Platform, has become the de facto standard in the industry. Google, Amazon, IBM, Microsoft, Alibaba, Tencent, Huawei and a series of well-known Internet manufacturers at home and abroad have built their own cloud services and cloud platforms. This article discusses the differences and advantages of cloud services compared with traditional services.
{"title":"The Differences and Advantages between Cloud Services and Traditional Services","authors":"Hui Chang","doi":"10.1109/ICNISC57059.2022.00104","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00104","url":null,"abstract":"In recent years, cloud services in the Internet field has been a hot topic, after several years of explosive technology development and several years of market precipitation, the cloud platform finally achieved universal unification in 2017, and Kubernetes (often referred to as k8s), an open source container cluster management system from Google Cloud Platform, has become the de facto standard in the industry. Google, Amazon, IBM, Microsoft, Alibaba, Tencent, Huawei and a series of well-known Internet manufacturers at home and abroad have built their own cloud services and cloud platforms. This article discusses the differences and advantages of cloud services compared with traditional services.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115996743","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 : 2022-09-01DOI: 10.1109/ICNISC57059.2022.00050
Lunzheng Tan, Rui Ding
To understand a scene, a machine not only has to learn to recognize individual object instances, but also pair them up and recognize visual relationships between them. Human-object interaction (HOI) recognition is one of the fundamental tasks in understanding the visual world. In this paper, we address the task of understanding and recognizing HOI in videos, and represent HOI as the doublet of . This paper proposes a two-stream network model that fuses multiple features. Since appearance information (the appearance features of instances), spatial information (the distance between each key part of the human body and the interacting object), and motion information (optical flow) in the video are all essential cues for recognizing HOI, our model uses two streams to fuse the information to complete the HOI recognition task. We valid the effectiveness of the model by conducting experiments on two recently proposed public video datasets (Charades and CAD-120 datasets), and perform ablation experiments to show the effect of components.
{"title":"Recognition of Human-object Interaction in Video through a Two-stream Network Integrating Multiple Features","authors":"Lunzheng Tan, Rui Ding","doi":"10.1109/ICNISC57059.2022.00050","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00050","url":null,"abstract":"To understand a scene, a machine not only has to learn to recognize individual object instances, but also pair them up and recognize visual relationships between them. Human-object interaction (HOI) recognition is one of the fundamental tasks in understanding the visual world. In this paper, we address the task of understanding and recognizing HOI in videos, and represent HOI as the doublet of . This paper proposes a two-stream network model that fuses multiple features. Since appearance information (the appearance features of instances), spatial information (the distance between each key part of the human body and the interacting object), and motion information (optical flow) in the video are all essential cues for recognizing HOI, our model uses two streams to fuse the information to complete the HOI recognition task. We valid the effectiveness of the model by conducting experiments on two recently proposed public video datasets (Charades and CAD-120 datasets), and perform ablation experiments to show the effect of components.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116055053","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}
Time-consuming, labor-intensive, poor real-time performance, and similar problems of artificial station inspection need to be solved. Here, an AR inspection system is proposed to replace manual inspection to effectively monitor the working status of equipment and improve the design method of intelligent inspection systems, which are used to monitor onsite environmental conditions. This proposed method uses a panoramic camera to capture onsite audio and video data, collects a variety of sensor data, and integrates these two types of data in real time. The method can provide intelligent anomaly detection and alarm functions and push audio and video streams to the office terminal through RTMP protocol, indicating great convenience for patrol inspection.
{"title":"Design and Implementation of an AR Inspection System for an Unmanned Gas Transmission Station","authors":"Weibin Wang, Hongqiang Dang, Lixiao Xie, Zengzhan Zhang, Kai Li, Xiaoli Huo, Hanying Li, Cuicui Zhang, Kaiyuan Guan, Yuanwei Lin, Yang Zhang","doi":"10.1109/ICNISC57059.2022.00064","DOIUrl":"https://doi.org/10.1109/ICNISC57059.2022.00064","url":null,"abstract":"Time-consuming, labor-intensive, poor real-time performance, and similar problems of artificial station inspection need to be solved. Here, an AR inspection system is proposed to replace manual inspection to effectively monitor the working status of equipment and improve the design method of intelligent inspection systems, which are used to monitor onsite environmental conditions. This proposed method uses a panoramic camera to capture onsite audio and video data, collects a variety of sensor data, and integrates these two types of data in real time. The method can provide intelligent anomaly detection and alarm functions and push audio and video streams to the office terminal through RTMP protocol, indicating great convenience for patrol inspection.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116065962","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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