Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934720
Zekai Zhang
China has a large population, coupled with the rapid economic development in recent years, which promotes the rapid development of many industries; including the clothing industry is one of them. At present, China's clothing industry is well-known in the world, and also in the leading position in the world in terms of clothing consumption level. In recent years, the popularity of 3D printing technology has been very high, and it has been rapidly applied to many fields as soon as it came out. Now the technology has been gradually applied to the clothing industry. This paper selects two factories as experimental research object One factory applies 3D printing technology to its factory while the factory continue to adopt the original design method. The results of the experimental data show that the work efficiency and turnover rate of a unit are much higher than that of the unit. The highest work efficiency of factory a is 97%, and the highest turnover is 2.018 million yuan. The highest efficiency of factory B is 81%, and the highest turnover is 1.759 million yuan.
{"title":"Application of Computer 3D Printing Technology in Clothing Design","authors":"Zekai Zhang","doi":"10.23919/WAC55640.2022.9934720","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934720","url":null,"abstract":"China has a large population, coupled with the rapid economic development in recent years, which promotes the rapid development of many industries; including the clothing industry is one of them. At present, China's clothing industry is well-known in the world, and also in the leading position in the world in terms of clothing consumption level. In recent years, the popularity of 3D printing technology has been very high, and it has been rapidly applied to many fields as soon as it came out. Now the technology has been gradually applied to the clothing industry. This paper selects two factories as experimental research object One factory applies 3D printing technology to its factory while the factory continue to adopt the original design method. The results of the experimental data show that the work efficiency and turnover rate of a unit are much higher than that of the unit. The highest work efficiency of factory a is 97%, and the highest turnover is 2.018 million yuan. The highest efficiency of factory B is 81%, and the highest turnover is 1.759 million yuan.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132621541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934638
Zhimin Jing, Yan Li
The research direction is hybrid electric vehicle control system design and energy management strategy. The main purpose of this study is to study the control strategy of hybrid electric vehicle, which will be used as a substitute for traditional vehicles in the future. Based on the application of fuzzy logic technology, the proposed control strategy can provide better performance than traditional technologies such as PID controller and neural network. A method is developed by using fuzzy logic technology, which can be used to automatically adjust the transmission ratio. The purpose of this study is to develop an efficient control system for hybrid electric vehicles. The study will also help reduce fuel consumption and emissions and improve the overall performance of the vehicle. The aim is to find out how much money can be saved by using hybrid cars instead of traditional cars.
{"title":"Research on control system design and energy management strategy of hybrid electric vehicle","authors":"Zhimin Jing, Yan Li","doi":"10.23919/WAC55640.2022.9934638","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934638","url":null,"abstract":"The research direction is hybrid electric vehicle control system design and energy management strategy. The main purpose of this study is to study the control strategy of hybrid electric vehicle, which will be used as a substitute for traditional vehicles in the future. Based on the application of fuzzy logic technology, the proposed control strategy can provide better performance than traditional technologies such as PID controller and neural network. A method is developed by using fuzzy logic technology, which can be used to automatically adjust the transmission ratio. The purpose of this study is to develop an efficient control system for hybrid electric vehicles. The study will also help reduce fuel consumption and emissions and improve the overall performance of the vehicle. The aim is to find out how much money can be saved by using hybrid cars instead of traditional cars.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"116 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133969470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934489
Yang Shen
In order to use Midas GTS digital simulation to design high slope, it is necessary to calculate the stability analysis of the proposed structure. Stability analysis is an important tool in the field of structural engineering. It can be used for various purposes, such as determining the strength of columns and beams under different load conditions, calculating the deflection under different loads, and even checking whether the structure is safe enough before construction. The digital GTAs based slope stability analysis is performed using the Midas software. The stability analysis of high slope can be used to determine the stability state and behavior under different conditions. It consists of many steps. The first step is to define the geometric and material properties of each element, such as shape and size. These parameters are defined according to the design requirements. The second step is to calculate the force distribution of each element position in the 3D model.
{"title":"Stability analysis of high slope based on MIDAS GTS digital simulation","authors":"Yang Shen","doi":"10.23919/WAC55640.2022.9934489","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934489","url":null,"abstract":"In order to use Midas GTS digital simulation to design high slope, it is necessary to calculate the stability analysis of the proposed structure. Stability analysis is an important tool in the field of structural engineering. It can be used for various purposes, such as determining the strength of columns and beams under different load conditions, calculating the deflection under different loads, and even checking whether the structure is safe enough before construction. The digital GTAs based slope stability analysis is performed using the Midas software. The stability analysis of high slope can be used to determine the stability state and behavior under different conditions. It consists of many steps. The first step is to define the geometric and material properties of each element, such as shape and size. These parameters are defined according to the design requirements. The second step is to calculate the force distribution of each element position in the 3D model.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"23 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114033753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934587
Wang Zehao, Yu Chen, He Yi, Jiang Hao
In recent years, with the rapid development and wide application of modern information technology, the management environment and management concept of enterprises have been changed. The environment of enterprise accounting has changed greatly, and the accounting data system came into being. The application of accounting data system not only brings convenient and fast information services to enterprises, but also brings many security risks due to its own openness and the vulnerability of data storage media. With the expansion of the scope of use of computers, it is common to use computers for corruption, fraud and criminal activities. For example, the data stored on computer disks is easy to be tampered with; The data of the database is highly centralized, and unauthorized personnel may invade the enterprise's database through the computer network, browse all data files, copy, forge and destroy important data of the enterprise. Because computer crime has great concealment and harmfulness. Therefore, it is particularly important to strengthen the security of accounting data. This paper uses DES algorithm to encrypt accounting data.
{"title":"Research on encryption of accounting data using DES algorithm","authors":"Wang Zehao, Yu Chen, He Yi, Jiang Hao","doi":"10.23919/WAC55640.2022.9934587","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934587","url":null,"abstract":"In recent years, with the rapid development and wide application of modern information technology, the management environment and management concept of enterprises have been changed. The environment of enterprise accounting has changed greatly, and the accounting data system came into being. The application of accounting data system not only brings convenient and fast information services to enterprises, but also brings many security risks due to its own openness and the vulnerability of data storage media. With the expansion of the scope of use of computers, it is common to use computers for corruption, fraud and criminal activities. For example, the data stored on computer disks is easy to be tampered with; The data of the database is highly centralized, and unauthorized personnel may invade the enterprise's database through the computer network, browse all data files, copy, forge and destroy important data of the enterprise. Because computer crime has great concealment and harmfulness. Therefore, it is particularly important to strengthen the security of accounting data. This paper uses DES algorithm to encrypt accounting data.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130238474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934546
Qinghai Wu, Zhiheng Zhang
Information technology is the representative of today’s advanced productive forces, and new media is the representative product of the development of information technology. On the new media platform, many network cultures are constantly affecting the cultural differences of several generations. The emergence of new media has also bred many industries and occupations. In different countries, regions, social strata, generations and other groups, network culture has also stimulated a series of issues related to politics, economy, social system, history and culture. Under the information technology, the influence of network culture on the new media platform is very broad, which can not be underestimated.
{"title":"The Influence of Network Culture on New Media Platform under Information Technology","authors":"Qinghai Wu, Zhiheng Zhang","doi":"10.23919/WAC55640.2022.9934546","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934546","url":null,"abstract":"Information technology is the representative of today’s advanced productive forces, and new media is the representative product of the development of information technology. On the new media platform, many network cultures are constantly affecting the cultural differences of several generations. The emergence of new media has also bred many industries and occupations. In different countries, regions, social strata, generations and other groups, network culture has also stimulated a series of issues related to politics, economy, social system, history and culture. Under the information technology, the influence of network culture on the new media platform is very broad, which can not be underestimated.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129732858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934348
Jing-Liang Chen
The structure of the traditional mechanical transmission is complex, and the dynamic performance of the system is influenced by many factors. Therefore, a new type of coaxial cylindrical magnetic coupling was designed in this paper, combined with the advantages of the magnetic coupling transmission. This design achieves the required torque transmission by reducing the volume of the prime mover and eliminating the transmission devices such as pulleys and mechanical gears. It realizes non-contact speed regulation drive, reduces vibration and noise, and overcomes the shortcomings of frequency conversion speed regulation.
{"title":"Speed-regulating Magnetic Coupling Based on PLC Control","authors":"Jing-Liang Chen","doi":"10.23919/WAC55640.2022.9934348","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934348","url":null,"abstract":"The structure of the traditional mechanical transmission is complex, and the dynamic performance of the system is influenced by many factors. Therefore, a new type of coaxial cylindrical magnetic coupling was designed in this paper, combined with the advantages of the magnetic coupling transmission. This design achieves the required torque transmission by reducing the volume of the prime mover and eliminating the transmission devices such as pulleys and mechanical gears. It realizes non-contact speed regulation drive, reduces vibration and noise, and overcomes the shortcomings of frequency conversion speed regulation.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128267359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934151
Zhenyu Chen, Lutao Wang, Bo Li, Siyu Chen, Jingchen Bian, Fei Zheng, Yanhong Deng
With the continuous development of deep learning, how to use computer vision technology to accurately locate bolts and identify defects in complex natural backgrounds has become a common problem faced by both academia and industry. Aiming at the problems of slow detection speed and high false detection rate in current bolt defect detection, an improved Faster R-CNN bolt defect detection algorithm for transmission lines is proposed. First, with Faster R-CNN as the basic framework, through the experimental comparison of three different backbone networks, ResNeSt with higher detection accuracy is selected as the backbone network. Second, the feature extraction network and feature pyramid FPN structure are improved. Then, the improved Faster R-CNN model is trained on the transmission line bolt defect dataset. Finally, the application verification is carried out with the inspection on the transmission line above 110kV of a provincial power company. The results show that the method in this paper can assist the inspectors to quickly screen and locate the defective bolts in the high-resolution UAV image, thus greatly improving the inspection efficiency. Check work efficiency.
{"title":"An Improved Faster R-CNN Transmission Line Bolt Defect Detection Method","authors":"Zhenyu Chen, Lutao Wang, Bo Li, Siyu Chen, Jingchen Bian, Fei Zheng, Yanhong Deng","doi":"10.23919/WAC55640.2022.9934151","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934151","url":null,"abstract":"With the continuous development of deep learning, how to use computer vision technology to accurately locate bolts and identify defects in complex natural backgrounds has become a common problem faced by both academia and industry. Aiming at the problems of slow detection speed and high false detection rate in current bolt defect detection, an improved Faster R-CNN bolt defect detection algorithm for transmission lines is proposed. First, with Faster R-CNN as the basic framework, through the experimental comparison of three different backbone networks, ResNeSt with higher detection accuracy is selected as the backbone network. Second, the feature extraction network and feature pyramid FPN structure are improved. Then, the improved Faster R-CNN model is trained on the transmission line bolt defect dataset. Finally, the application verification is carried out with the inspection on the transmission line above 110kV of a provincial power company. The results show that the method in this paper can assist the inspectors to quickly screen and locate the defective bolts in the high-resolution UAV image, thus greatly improving the inspection efficiency. Check work efficiency.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128521901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934752
Nihar Bendre, Neda Zand, Sujan Bhattarai, I. Corley, M. Jamshidi, Peyman Najafirad
Throughout history, natural calamities have taken a toll on both property and life. Forest fires, hurricanes, floods, earthquakes, and tornadoes are all responsible for substantial damages, and often render access to the affected areas difficult. One of the challenges, particularly in remote areas, is accurately assessing the severity of the disaster. In this paper, we propose a solution to the challenge of determining the severity of property damage through the analysis building change within satellite imagery. We determine the severity of the loss by training deep neural networks to count buildings which were destroyed in multitemporal satellite imagery of the affected area. We demonstrate, through experimental results, that a model composed of a Single Shot Detector (SSD) and a Feature Pyramid Network (FPN) trained with Focal Loss is able to detect buildings through satellite imagery with improved performance compared to conventional object detection models. For evaluation, we use the xView dataset, which consists of high resolution satellite images containing building labels. We evaluate three different object detection models, namely: (i) SSD, (ii) Faster R-CNN (Regional-based Convolutional Neural Network), and (iii) SSD+FPN with Focal Loss. Our findings show that SSD+FPN with focal loss model achieves mAP improvements of 15% and 20% increase in detecting buildings in comparison to Faster R-CNN and standard SSD models, respectively. The improved mAP metric is a reflection of our more accurate detection and localization of buildings from remotely sensed imagery.
纵观历史，自然灾害对财产和生命都造成了巨大的损失。森林火灾、飓风、洪水、地震和龙卷风都是造成重大损失的原因，往往使人们难以进入受灾地区。其中一个挑战，特别是在偏远地区，是准确评估灾害的严重程度。在本文中，我们提出了一种解决方案，通过分析卫星图像中的建筑物变化来确定财产损失的严重程度。我们通过训练深度神经网络来计算受影响地区的多时相卫星图像中被摧毁的建筑物，从而确定损失的严重程度。我们通过实验结果证明，由单镜头探测器(SSD)和经过焦损训练的特征金字塔网络(FPN)组成的模型能够通过卫星图像检测建筑物，与传统的目标检测模型相比，性能有所提高。为了进行评估，我们使用xView数据集，该数据集由包含建筑标签的高分辨率卫星图像组成。我们评估了三种不同的目标检测模型，即:(i) SSD， (ii) Faster R-CNN(基于区域的卷积神经网络)，以及(iii)具有焦损的SSD+FPN。我们的研究结果表明，与Faster R-CNN和标准SSD模型相比，具有焦损模型的SSD+FPN在探测建筑物方面分别实现了15%和20%的mAP改进。改进的mAP指标反映了我们从遥感图像中更准确地检测和定位建筑物。
{"title":"Natural Disaster Analytics using High Resolution Satellite Images","authors":"Nihar Bendre, Neda Zand, Sujan Bhattarai, I. Corley, M. Jamshidi, Peyman Najafirad","doi":"10.23919/WAC55640.2022.9934752","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934752","url":null,"abstract":"Throughout history, natural calamities have taken a toll on both property and life. Forest fires, hurricanes, floods, earthquakes, and tornadoes are all responsible for substantial damages, and often render access to the affected areas difficult. One of the challenges, particularly in remote areas, is accurately assessing the severity of the disaster. In this paper, we propose a solution to the challenge of determining the severity of property damage through the analysis building change within satellite imagery. We determine the severity of the loss by training deep neural networks to count buildings which were destroyed in multitemporal satellite imagery of the affected area. We demonstrate, through experimental results, that a model composed of a Single Shot Detector (SSD) and a Feature Pyramid Network (FPN) trained with Focal Loss is able to detect buildings through satellite imagery with improved performance compared to conventional object detection models. For evaluation, we use the xView dataset, which consists of high resolution satellite images containing building labels. We evaluate three different object detection models, namely: (i) SSD, (ii) Faster R-CNN (Regional-based Convolutional Neural Network), and (iii) SSD+FPN with Focal Loss. Our findings show that SSD+FPN with focal loss model achieves mAP improvements of 15% and 20% increase in detecting buildings in comparison to Faster R-CNN and standard SSD models, respectively. The improved mAP metric is a reflection of our more accurate detection and localization of buildings from remotely sensed imagery.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130957376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934448
Tyrell Lewis, Alexander Ibarra, M. Jamshidi
Autonomous navigation has been a fundamental area of research for real-world mobile robotic applications, having widespread utility across many industries from warehouse package delivery to residential cleaning services. Because of the complex nature of the robot’s environment, several challenges have prevented effectively implementing reinforcement learning-based algorithms trained in simulation. While difficulties can arise from the virtual environment lacking the sophistication to represent such a large and complex state space based on data-heavy sensor observations, the variance in MDP representations across related studies biases their fair comparison, performance, and repeatability. In this study, it is found that the design of the reward function used for training a vision-based mobile agent to perform collision-free point-goal navigation in simulation plays a significant role in overall performance. A novel approach is introduced where reward is also granted for successfully detecting a target object scaled according to prediction confidence. This strategy was found to significantly improve the point-goal navigation behavior compared to simpler reward function designs seen in similar related studies.
{"title":"Object Detection-Based Reinforcement Learning for Autonomous Point-to-Point Navigation","authors":"Tyrell Lewis, Alexander Ibarra, M. Jamshidi","doi":"10.23919/WAC55640.2022.9934448","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934448","url":null,"abstract":"Autonomous navigation has been a fundamental area of research for real-world mobile robotic applications, having widespread utility across many industries from warehouse package delivery to residential cleaning services. Because of the complex nature of the robot’s environment, several challenges have prevented effectively implementing reinforcement learning-based algorithms trained in simulation. While difficulties can arise from the virtual environment lacking the sophistication to represent such a large and complex state space based on data-heavy sensor observations, the variance in MDP representations across related studies biases their fair comparison, performance, and repeatability. In this study, it is found that the design of the reward function used for training a vision-based mobile agent to perform collision-free point-goal navigation in simulation plays a significant role in overall performance. A novel approach is introduced where reward is also granted for successfully detecting a target object scaled according to prediction confidence. This strategy was found to significantly improve the point-goal navigation behavior compared to simpler reward function designs seen in similar related studies.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128689533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934607
Wenying Qiu, Weixi Gu
Sensor network is an application-based network. wireless communication network, it has the characteristics of large node scale, self-organizing multi hop, unattended, no communication infrastructure and so on. In order to understand the concept of sensor collaboration, let’s first understand what artificial intelligence is. The basic idea of artificial intelligence is that it can solve complex problems by using the ability of computers and other devices. It has existed for a long time, but only recently have we seen it applied to medical treatment, education, transportation and other fields. Experts said that artificial intelligence will soon become an indispensable part of our lives and will be able to solve many problems facing mankind. The ability to leverage these technologies has prompted some companies to develop applications using these technologies. Guided by artificial intelligence (AI), his paper summarizes and discusses the research status of energy consumption in wireless sensor networks at home and abroad.
{"title":"Research and analysis of sensor synergy based on Artificial Intelligence","authors":"Wenying Qiu, Weixi Gu","doi":"10.23919/WAC55640.2022.9934607","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934607","url":null,"abstract":"Sensor network is an application-based network. wireless communication network, it has the characteristics of large node scale, self-organizing multi hop, unattended, no communication infrastructure and so on. In order to understand the concept of sensor collaboration, let’s first understand what artificial intelligence is. The basic idea of artificial intelligence is that it can solve complex problems by using the ability of computers and other devices. It has existed for a long time, but only recently have we seen it applied to medical treatment, education, transportation and other fields. Experts said that artificial intelligence will soon become an indispensable part of our lives and will be able to solve many problems facing mankind. The ability to leverage these technologies has prompted some companies to develop applications using these technologies. Guided by artificial intelligence (AI), his paper summarizes and discusses the research status of energy consumption in wireless sensor networks at home and abroad.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125628677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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