Our country is a developing country dominated by agriculture, and the trade of agricultural and sideline products accounts for a considerable proportion in China's national economy. Soil moisture content is one of the basic parameters reflecting soil fertility and crop growth in agricultural production activities. The detection of soil moisture content plays an extremely important role in improving soil utilization and increasing crop yield. At the same time, thermal infrared technology has the characteristics of wide acquisition range, high acquisition accuracy, fast information transmission speed and less affected by interference factors. It provides a new method for in-situ detection of soil moisture. In this paper, infrared thermal imaging technology is used to detect the soil in the measured area in situ, which not only avoids the influence of traditional drying method on the sample in the sampling process, but also improves the detection accuracy. The combination of thermal imaging technology and thermal inertia model makes it suitable for the detection of soil moisture content under most environmental conditions, including bare soil, sandy land and low vegetation coverage.
{"title":"In situ detection of soil moisture content based on thermal infrared technology and thermal inertia model","authors":"Wenjun Shang, Caixia Wang","doi":"10.1117/12.2639165","DOIUrl":"https://doi.org/10.1117/12.2639165","url":null,"abstract":"Our country is a developing country dominated by agriculture, and the trade of agricultural and sideline products accounts for a considerable proportion in China's national economy. Soil moisture content is one of the basic parameters reflecting soil fertility and crop growth in agricultural production activities. The detection of soil moisture content plays an extremely important role in improving soil utilization and increasing crop yield. At the same time, thermal infrared technology has the characteristics of wide acquisition range, high acquisition accuracy, fast information transmission speed and less affected by interference factors. It provides a new method for in-situ detection of soil moisture. In this paper, infrared thermal imaging technology is used to detect the soil in the measured area in situ, which not only avoids the influence of traditional drying method on the sample in the sampling process, but also improves the detection accuracy. The combination of thermal imaging technology and thermal inertia model makes it suitable for the detection of soil moisture content under most environmental conditions, including bare soil, sandy land and low vegetation coverage.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115502496","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}
Ya-Tao Jing, Wenqian Zhang, Lin Ge, Nanfang Li, Xiyuan Shang, Yun Ye
In network data transmission, the data to be encrypted is not always at the same level. The access structure is embedded in the ciphertext, resulting in excessive communication and computing overhead. Therefore, a secure sharing method of network data transmission is proposed based on multi-layer encryption algorithm. According to the relationship between users, type servers and service providers, the logical structure of data transmission is established, and the data sharing contract is called on the basis of secure communication. By designing the key synchronization mechanism, both sides of the transmission can use the same key for encryption and decryption to ensure the forward security of the data. The key distribution scheme is established based on multi-layer encryption algorithm. The ciphertext information of the next layer is directly embedded in the ciphertext of the previous layer, which realizes the jump transmission of ciphertext and ensures the security of data privacy. In the final stage, both the master node and the slave node will receive the confirmation information, and then check the signature of the confirmation information to complete the secure sharing of data transmission. The test results show that this method reduces the communication overhead and computing overhead, and improves the efficiency of encryption and decryption.
{"title":"Secure sharing method of network data transmission based on multi-layer encryption algorithm","authors":"Ya-Tao Jing, Wenqian Zhang, Lin Ge, Nanfang Li, Xiyuan Shang, Yun Ye","doi":"10.1117/12.2639364","DOIUrl":"https://doi.org/10.1117/12.2639364","url":null,"abstract":"In network data transmission, the data to be encrypted is not always at the same level. The access structure is embedded in the ciphertext, resulting in excessive communication and computing overhead. Therefore, a secure sharing method of network data transmission is proposed based on multi-layer encryption algorithm. According to the relationship between users, type servers and service providers, the logical structure of data transmission is established, and the data sharing contract is called on the basis of secure communication. By designing the key synchronization mechanism, both sides of the transmission can use the same key for encryption and decryption to ensure the forward security of the data. The key distribution scheme is established based on multi-layer encryption algorithm. The ciphertext information of the next layer is directly embedded in the ciphertext of the previous layer, which realizes the jump transmission of ciphertext and ensures the security of data privacy. In the final stage, both the master node and the slave node will receive the confirmation information, and then check the signature of the confirmation information to complete the secure sharing of data transmission. The test results show that this method reduces the communication overhead and computing overhead, and improves the efficiency of encryption and decryption.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650999","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 increasing development of the market economy, interpersonal communication has become increasingly frequent. With the continuous advancement of science and technology, communication methods have been increasingly developed. Computer video conference management system also emerged under this historical background and made great progress. The application field of video conferencing is expanding and has become a new and important method of information communication in today's society. This article will briefly analyze the basic principles and usage methods of video conferencing systems.
{"title":"Discussion on computer network video conference system and principle","authors":"Bolei Tong","doi":"10.1117/12.2639306","DOIUrl":"https://doi.org/10.1117/12.2639306","url":null,"abstract":"With the increasing development of the market economy, interpersonal communication has become increasingly frequent. With the continuous advancement of science and technology, communication methods have been increasingly developed. Computer video conference management system also emerged under this historical background and made great progress. The application field of video conferencing is expanding and has become a new and important method of information communication in today's society. This article will briefly analyze the basic principles and usage methods of video conferencing systems.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117224333","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 security problems of existing windows, such as low intelligence and inability to monitor and control windows in real time, this paper designs an intelligent window system based on OneNET cloud platform. In this system, STM32 embedded single chip microcomputer is used as the main control unit, and the data acquisition module is used to upload the detected environmental data such as temperature, humidity, whether it is raining or not, whether someone is standing outside the window, etc. to OneNET cloud platform through ESP8266 Wi-Fi module, so that users can monitor the status of the window in real time on the intelligent terminal device, and at the same time, the window status can be adjusted in real time by issuing operation commands through software. The system has the advantages of low cost, simple and convenient design, fast running speed after testing, real-time monitoring of window status, anti-theft, child safety protection and intelligent control of windows.
{"title":"Design of intelligent window system based on OneNET cloud platform","authors":"Hongmei Zhao, Ying Zhu, Fukang Qu, Wei Cheng","doi":"10.1117/12.2639277","DOIUrl":"https://doi.org/10.1117/12.2639277","url":null,"abstract":"Aiming at the security problems of existing windows, such as low intelligence and inability to monitor and control windows in real time, this paper designs an intelligent window system based on OneNET cloud platform. In this system, STM32 embedded single chip microcomputer is used as the main control unit, and the data acquisition module is used to upload the detected environmental data such as temperature, humidity, whether it is raining or not, whether someone is standing outside the window, etc. to OneNET cloud platform through ESP8266 Wi-Fi module, so that users can monitor the status of the window in real time on the intelligent terminal device, and at the same time, the window status can be adjusted in real time by issuing operation commands through software. The system has the advantages of low cost, simple and convenient design, fast running speed after testing, real-time monitoring of window status, anti-theft, child safety protection and intelligent control of windows.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117233114","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}
Xingxin Zhang, S. Shi, Zhi-xiong Guo, Gang Chen, Han Wei, Yongwang Tang, Liuyang Yu
Text style transfer is one of the controllable text generation tasks, which can convert text style attributes. The mainstream method is to separate the content and style of the text, and then combine the content vectors with other style vectors to generate. However, implicit expression cannot completely separate meaning and style, separation and recombination may also lead to a decrease in the naturalness and fluency of the text. Therefore, we propose a new idea, which first encodes the text into a latent representation, and iteratively optimizes the latent representation with the smallest changes to achieve style transfer. Introducing noise enhancement before generating results improves the robustness of the generated system and reduces the occurrence of individual results with large errors. Experiments show that our optimization method based on noise enhancement performs well on two public datasets, Yelp and Amazon. Result has excellent performance in three indicators: content preservation, transfer strength, and fluency.
{"title":"Controlled text style transfer via noise enhancement of deep learning transformer","authors":"Xingxin Zhang, S. Shi, Zhi-xiong Guo, Gang Chen, Han Wei, Yongwang Tang, Liuyang Yu","doi":"10.1117/12.2639492","DOIUrl":"https://doi.org/10.1117/12.2639492","url":null,"abstract":"Text style transfer is one of the controllable text generation tasks, which can convert text style attributes. The mainstream method is to separate the content and style of the text, and then combine the content vectors with other style vectors to generate. However, implicit expression cannot completely separate meaning and style, separation and recombination may also lead to a decrease in the naturalness and fluency of the text. Therefore, we propose a new idea, which first encodes the text into a latent representation, and iteratively optimizes the latent representation with the smallest changes to achieve style transfer. Introducing noise enhancement before generating results improves the robustness of the generated system and reduces the occurrence of individual results with large errors. Experiments show that our optimization method based on noise enhancement performs well on two public datasets, Yelp and Amazon. Result has excellent performance in three indicators: content preservation, transfer strength, and fluency.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125161658","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}
Pulse Position Modulation (PPM) is an important modulation method in communication systems, which plays an important role in many branches. This paper is designed to investigate the basic principles and processes of PPM modulation, to derive the results of each branch of this project, to analyze the advantages and disadvantages of Pulse Position Modulation, and to determine the appropriate application direction for PPM and the scope for remediation. This project is based on the MATLAB software and uses a PPM signal with only four symbols to carry out modulate and demodulate it in four steps, thus completing this project. In the first part, PPM signals are generated in the form of a random sequence of Gray codes, resulting in a large number of points; Then, the generated signal passes through a Gaussian white noise channel, and the modulation points are placed on a constellation diagram of the PPM plane for observation. After that, demodulation is performed by using the minimum distance discrimination method, and some error points are listed. Finally, the SER vs SNR curve is plotted. This project can basically explain the working principle of PPM, help researchers to get familiar with the PPM modulation process, and make it easier to choose how to work with communication in practice. It will guide the research direction on how to improve the accuracy of PPM in the future to broaden the application of this method.
{"title":"Simulation on the design of digital pulse position modulation system","authors":"L. Huẩn","doi":"10.1117/12.2640677","DOIUrl":"https://doi.org/10.1117/12.2640677","url":null,"abstract":"Pulse Position Modulation (PPM) is an important modulation method in communication systems, which plays an important role in many branches. This paper is designed to investigate the basic principles and processes of PPM modulation, to derive the results of each branch of this project, to analyze the advantages and disadvantages of Pulse Position Modulation, and to determine the appropriate application direction for PPM and the scope for remediation. This project is based on the MATLAB software and uses a PPM signal with only four symbols to carry out modulate and demodulate it in four steps, thus completing this project. In the first part, PPM signals are generated in the form of a random sequence of Gray codes, resulting in a large number of points; Then, the generated signal passes through a Gaussian white noise channel, and the modulation points are placed on a constellation diagram of the PPM plane for observation. After that, demodulation is performed by using the minimum distance discrimination method, and some error points are listed. Finally, the SER vs SNR curve is plotted. This project can basically explain the working principle of PPM, help researchers to get familiar with the PPM modulation process, and make it easier to choose how to work with communication in practice. It will guide the research direction on how to improve the accuracy of PPM in the future to broaden the application of this method.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125666275","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 order to meet the demand for flexible acquisition of video images and real-time processing of images, the speed and efficiency of image processing are improved. This paper is an embedded system based on the ZYNQ-7000 series chip which integrates ARM+FPGA structure for image acquisition and real-time processing. An improved sharpening algorithm that can be used for edge detection in the image processing module is proposed, and the algorithm is integrated into the hardware through the HLS tool that comes with Vivado, which realizes the flexible acquisition and real-time processing of video image data. By studying image processing algorithms commonly used in embedded acquisition and processing systems, an improved sharpening algorithm is designed based on threshold segmentation and image filtering and applied in experiments. In terms of hardware, it has the advantages of low power consumption, high performance and flexibility. In terms of algorithm, it not only improves the speed of image optimization processing, but also has a large development space and application value.
{"title":"Research on embedded system of image acquisition and real-time processing based on ZYNQ","authors":"Zongjie Zhang, L. Peng","doi":"10.1117/12.2642305","DOIUrl":"https://doi.org/10.1117/12.2642305","url":null,"abstract":"In order to meet the demand for flexible acquisition of video images and real-time processing of images, the speed and efficiency of image processing are improved. This paper is an embedded system based on the ZYNQ-7000 series chip which integrates ARM+FPGA structure for image acquisition and real-time processing. An improved sharpening algorithm that can be used for edge detection in the image processing module is proposed, and the algorithm is integrated into the hardware through the HLS tool that comes with Vivado, which realizes the flexible acquisition and real-time processing of video image data. By studying image processing algorithms commonly used in embedded acquisition and processing systems, an improved sharpening algorithm is designed based on threshold segmentation and image filtering and applied in experiments. In terms of hardware, it has the advantages of low power consumption, high performance and flexibility. In terms of algorithm, it not only improves the speed of image optimization processing, but also has a large development space and application value.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122740545","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}
Conghao Duan, Xifeng Wang, Lijuan Ji, Bin Zuo, Liu Li
At present, there are few researches on the detection of steel coil end face defects, and the existing detection methods cannot take into account the accuracy and speed of the problem. An improved Faster-RCNN and improved YOLOv3 detection algorithms are proposed. Since Faster-RCNN loses the underlying information during continuous sampling, it is difficult to detect small defects on the end face of the steel coil. It is proposed to use multi-scale feature fusion to improve the optimization. At the same time, due to the poor performance of the Faster-RCNN backbone network, the detection rate is slow. It is proposed to use A better-performing residual network alternative. In view of the inaccurate positioning of YOLOv3, it is proposed to use GIoU to replace the IoU in the original YOLOv3. Likewise, to further improve the YOLOv3 detection rate, a residual network is used instead of Darknet-53. Experimental analysis shows that the detection rate of the improved Faster-RCNN_R50 reaches 12.47Fps, the original Faster-RCNN is 8.35Fps, an increase of 4.12Fps, the detection accuracy (AP) of Faster-RCNN_R50 reaches 92.1%, and the original Faster-RCNN is 81.2 %, an increase of 10.9%; the improved YOLOv3_R50 detection rate is as high as 22.87Fps, the original YOLOv3 is 19.07Fps, an increase of 3.80Fps, the YOLOv3_R50 detection accuracy rate reaches 89.5%, the original YOLOv3 detection accuracy rate is 68.7%, an increase of 20.8% . The conclusion shows that in the absence of real-time detection requirements, the improved Faster- RCNN_R50 has the highest accuracy, and if there is a real-time detection requirement, the improved YOLOv3_R50 has the fastest speed, while also ensuring a certain detection accuracy.
{"title":"Research on defect detection method for end face of steel coil based on Faster-RCNN and YOLOv3","authors":"Conghao Duan, Xifeng Wang, Lijuan Ji, Bin Zuo, Liu Li","doi":"10.1117/12.2639156","DOIUrl":"https://doi.org/10.1117/12.2639156","url":null,"abstract":"At present, there are few researches on the detection of steel coil end face defects, and the existing detection methods cannot take into account the accuracy and speed of the problem. An improved Faster-RCNN and improved YOLOv3 detection algorithms are proposed. Since Faster-RCNN loses the underlying information during continuous sampling, it is difficult to detect small defects on the end face of the steel coil. It is proposed to use multi-scale feature fusion to improve the optimization. At the same time, due to the poor performance of the Faster-RCNN backbone network, the detection rate is slow. It is proposed to use A better-performing residual network alternative. In view of the inaccurate positioning of YOLOv3, it is proposed to use GIoU to replace the IoU in the original YOLOv3. Likewise, to further improve the YOLOv3 detection rate, a residual network is used instead of Darknet-53. Experimental analysis shows that the detection rate of the improved Faster-RCNN_R50 reaches 12.47Fps, the original Faster-RCNN is 8.35Fps, an increase of 4.12Fps, the detection accuracy (AP) of Faster-RCNN_R50 reaches 92.1%, and the original Faster-RCNN is 81.2 %, an increase of 10.9%; the improved YOLOv3_R50 detection rate is as high as 22.87Fps, the original YOLOv3 is 19.07Fps, an increase of 3.80Fps, the YOLOv3_R50 detection accuracy rate reaches 89.5%, the original YOLOv3 detection accuracy rate is 68.7%, an increase of 20.8% . The conclusion shows that in the absence of real-time detection requirements, the improved Faster- RCNN_R50 has the highest accuracy, and if there is a real-time detection requirement, the improved YOLOv3_R50 has the fastest speed, while also ensuring a certain detection accuracy.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121967205","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 paper introduces the basic knowledge about PPM and four PPM related applications, namely, PPM modulation and demodulation based blue-green laser communication system, PPM modulation based underwater optical communication system design and simulation, PPM based optical communication positioning accuracy enhancement, and atmospheric laser communication PPM modulation and demodulation system design and simulation. In all four applications, PPM plays a vital role and the applications reflect the various uses of PPM in different areas of communication. This article will provide further insight into the applications and knowledge of PPM.
{"title":"Application of digital pulse position modulation","authors":"Zaicheng Yu","doi":"10.1117/12.2640517","DOIUrl":"https://doi.org/10.1117/12.2640517","url":null,"abstract":"This paper introduces the basic knowledge about PPM and four PPM related applications, namely, PPM modulation and demodulation based blue-green laser communication system, PPM modulation based underwater optical communication system design and simulation, PPM based optical communication positioning accuracy enhancement, and atmospheric laser communication PPM modulation and demodulation system design and simulation. In all four applications, PPM plays a vital role and the applications reflect the various uses of PPM in different areas of communication. This article will provide further insight into the applications and knowledge of PPM.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128478539","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}
Distribution network communication operation and maintenance platform rely on communication network. The distribution network substation needs to obtain distribution network operation data configuration through communication network. The reliability of communication network directly affects the protection performance. Therefore, there is a need to establish a communication network that is reliable and meet protection performance requirements. In order to improve the engineering application of distribution network communication operation and maintenance platform, it is necessary to quantitatively evaluate the data quality of the distribution network communication operation and maintenance platform. Based on the construction background of smart distribution network, this paper studies the architecture of distribution network communication operation and maintenance platform. Starting from the requirements of information interconnection, intercommunication, interoperability and plug-and-play, the description specification of distribution network communication operation is established according to the principle of artificial intelligence data analysis. The unified modeling of protection and control system is realized. By analyzing the business composition of regional protection and self-healing control system of distribution network, the size of network information flow is quantitatively evaluated, which provides a basis for the engineering application of regional protection and self-healing control system of the distribution network. Experimental analysis shows that compared with the traditional method, the comprehensive performance of this method is improved by 10%. The partial performance is improved by 40%, which can support the master-slave regional protection and control business system.
{"title":"Communication network operation and maintenance platform based on artificial intelligence data analysis","authors":"Zhao Yang, Xin Zhao, Shujun Kang","doi":"10.1117/12.2639981","DOIUrl":"https://doi.org/10.1117/12.2639981","url":null,"abstract":"Distribution network communication operation and maintenance platform rely on communication network. The distribution network substation needs to obtain distribution network operation data configuration through communication network. The reliability of communication network directly affects the protection performance. Therefore, there is a need to establish a communication network that is reliable and meet protection performance requirements. In order to improve the engineering application of distribution network communication operation and maintenance platform, it is necessary to quantitatively evaluate the data quality of the distribution network communication operation and maintenance platform. Based on the construction background of smart distribution network, this paper studies the architecture of distribution network communication operation and maintenance platform. Starting from the requirements of information interconnection, intercommunication, interoperability and plug-and-play, the description specification of distribution network communication operation is established according to the principle of artificial intelligence data analysis. The unified modeling of protection and control system is realized. By analyzing the business composition of regional protection and self-healing control system of distribution network, the size of network information flow is quantitatively evaluated, which provides a basis for the engineering application of regional protection and self-healing control system of the distribution network. Experimental analysis shows that compared with the traditional method, the comprehensive performance of this method is improved by 10%. The partial performance is improved by 40%, which can support the master-slave regional protection and control business system.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128728126","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：