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Overview of Sensorless Zero-Low Speed Range Control Technology based on High-Frequency Signal Injection for SPMSM 基于高频信号注入的SPMSM无传感器零低速范围控制技术综述
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2022.050116
Duquan Zuo, Jie Liu, Huifang Li, Tao Wang, Yingjie Li
: For the sensorless position control technology of surface permanent magnet synchronous motor (SPMSM) under the operation modes of zero and low speed, this paper introduced several typical control algorithms detecting rotor position of PMSM, and analyzed the working principle and the rotor position estimation deviation control process of these types of algorithms, as well as their advantages and disadvantages in detail. Finally, the applicability of these algorithms in SPMSM at present were further compared and summarized, so as to achieve better control effect.
针对零、低速运行模式下的表面永磁同步电机(SPMSM)无传感器位置控制技术,介绍了几种典型的PMSM转子位置检测控制算法,并详细分析了这几种算法的工作原理和转子位置估计偏差控制过程,以及它们的优缺点。最后,对目前这些算法在SPMSM中的适用性进行了进一步的比较和总结,以达到更好的控制效果。
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引用次数: 0
Review of Theories Applied in Artificial Intelligence Service 人工智能服务理论应用综述
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2023.060306
Hua Zhang, Sui Mai, Yin Liu, Tianru Zhu, Zhiye Huang
: This paper mainly combs the literature of core publications in the field of Artificial Intelligence Service. It summarizes customer behaviour in the context of service intelligence and discusses the changes of the traditional theory of service marketing under the background of artificial intelligence. Firstly, the connotation of artificial intelligence service in the existing literature is sorted out, and the concept of artificial intelligence service are deeply discussed. Secondly, the theoretical system of artificial intelligence service field is summarized and sorted out. This paper provides directions for future research in order to promote better application of artificial intelligence services in practice.
:本文主要对人工智能服务领域核心出版物的文献进行梳理。总结了服务智能背景下的顾客行为,探讨了人工智能背景下传统服务营销理论的变化。首先,对现有文献中人工智能服务的内涵进行梳理,并对人工智能服务的概念进行深入探讨。其次,对人工智能服务领域的理论体系进行了总结和梳理。为未来的研究提供方向,以促进人工智能服务在实践中的更好应用。
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引用次数: 0
An Analysis of the Requirements for Smart Guiding Services in Museums Using the Kano-AHP Method 基于Kano-AHP方法的博物馆智能导览服务需求分析
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2023.060407
Jicai Wu, Yirui Hei, Yinyin Fan, Xinhai Zhou
: This study aims to enhance the visiting experience in museums by investigating visitor demands for a smart guiding service system. Through the utilization of semi-structured interviews and field observations, the research explores visitor needs comprehensively. The Kano model is employed to categorize the various requirements, and the hierarchical analysis approach (AHP) is used to determine attribute weights, ensuring a thorough evaluation. By creating a hierarchical structure model for the smart guiding service system in museums and obtaining a comprehensive weight ranking for each indicator, the study provides a solid foundation for the development of effective solutions. Based on the ranking, several proposals are generated, presenting actionable insights for the implementation of a smart guiding service system. The findings emphasize the value of the Kano-AHP model in analyzing visitor demands, offering valuable guidance for museums aiming to establish an efficient and user-centric smart guiding service system.
本研究旨在透过调查参观者对智慧导赏服务系统的需求,提升博物馆的参观体验。本研究采用半结构式访谈和实地观察相结合的方法,对游客需求进行了全面的探索。采用Kano模型对各种需求进行分类,并采用层次分析法(AHP)确定属性权重,保证了评估的彻彻性。通过构建博物馆智能导赏服务系统的层次结构模型,得出各指标的综合权重排序,为制定有效的解决方案提供坚实的基础。基于排名,产生了几项建议,为智能导游服务系统的实施提供了可操作的见解。研究结果强调了Kano-AHP模型在分析游客需求方面的价值,为博物馆建立高效、以用户为中心的智能导览服务系统提供了有价值的指导。
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引用次数: 0
Design of Multi-Channel Temperature Acquisition System Based on STM32 基于STM32的多通道温度采集系统设计
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2023.060106
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引用次数: 0
A Method for Eliminating Pig Face Recognition Errors Caused by Too Short Pig Growth Cycle 一种消除猪生长周期过短导致的猪人脸识别误差的方法
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2023.060307
Shengkun Yu, Dongxin Wang, Hongbing Huo, Yining Liu, Kaidi Fu, Xinru Mu, Binkai Zou
: In the process of modern large-scale pig breeding, it is necessary to distinguish the identity of each pig and real-time detect its health status, weight change, dietary status, and other parameters. Traditional methods waste a lot of resources, while the high quality of pork cannot be effectively guaranteed. This project is based on convolutional neural networks to design and develop a pig face recognition system. This system uses an overhead camera suspended above the pig house to monitor the pig house for 24 hours and identify and track each pig. Due to the rapid growth cycle of the pig, the facial image information changes rapidly, which has a significant impact on the pig face recognition model. The acquisition camera module is designed to correct monitoring and tracking data. The acquisition camera is installed in the necessary place of the pig every day to collect real-time information and upload the collected information to the server. By comparing the data of individual pigs at different developmental stages with the server, the identification information of individual pigs is determined, and tracking data is corrected in a timely manner. At the same time, the monitoring and identification screen is displayed on the screen, and behavioral information parameters are recorded to facilitate the information management and breeding of the farm.
:在现代规模化生猪养殖过程中,需要对每头猪的身份进行区分,实时检测其健康状况、体重变化、日粮状况等参数。传统的方法浪费了大量的资源,同时猪肉的高品质也不能得到有效的保证。本课题是基于卷积神经网络来设计和开发一个猪的人脸识别系统。该系统使用悬挂在猪舍上方的架空摄像头,对猪舍进行24小时监控,并对每头猪进行识别和跟踪。由于猪的生长周期很快,面部图像信息变化很快,这对猪的人脸识别模型有很大的影响。采集摄像头模块用于校正监控和跟踪数据。采集摄像头每天安装在猪的必要位置,实时采集信息,并将采集到的信息上传到服务器。通过将不同发育阶段的个体猪数据与服务器进行对比,确定个体猪的识别信息,并及时对跟踪数据进行修正。同时在屏幕上显示监测识别画面,记录行为信息参数,方便养殖场的信息化管理和育种。
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引用次数: 0
The Development and Application of Computer Vision Technology in The Era of Artificial Intelligence 人工智能时代计算机视觉技术的发展与应用
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2022.050301
Siwen Wang, Xiongwei He
: With the increasing popularity and wide application of Internet technology, the computer field is in the stage of vigorous development, the world is moving towards the economic development period dominated by information industry. In recent years, with the birth of the emerging field of artificial intelligence, which solves problems that traditional computer technology can not solve, more and more people have a strong interest in it and devote themselves to this research, making artificial intelligence has evolved into a mainstream discipline in the field of computer. As one of the core technologies of artificial intelligence, computer vision has made remarkable progress in theoretical research and technical application, and has been widely used in home furnishing, medical treatment, network and security. This paper mainly introduces the concept and relationship between artificial intelligence and computer vision, discusses the main technology and application scenarios of computer vision, and proposes a vision for the future development.
随着互联网技术的日益普及和广泛应用,计算机领域正处于蓬勃发展的阶段,世界正走向以信息产业为主导的经济发展时期。近年来,随着人工智能这一新兴领域的诞生,它解决了传统计算机技术无法解决的问题,越来越多的人对它产生了浓厚的兴趣,并致力于这一研究,使得人工智能已经发展成为计算机领域的一门主流学科。计算机视觉作为人工智能的核心技术之一,在理论研究和技术应用方面都取得了显著的进步,在家居、医疗、网络、安全等领域得到了广泛的应用。本文主要介绍了人工智能与计算机视觉的概念和关系,讨论了计算机视觉的主要技术和应用场景,并对未来的发展提出了展望。
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引用次数: 0
AI Application to Generate an Expected Picture Using Keywords with Stable Diffusion 使用稳定扩散关键字生成期望图像的AI应用
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2023.060110
Zhan Shi
: Nowadays, artificial intelligence (AI) has a big impact in the field of painting. In contrast to the hand-painting and challenging personal creativity, AI applications practices to add noise, remove noise, restore image and conserve the present process after converting to data. The various AI image generator models, Diffusion model is the latest application consist of two main models, word-image mapping and diffusion algorithm. This article is introduced the mechanism of how images are generated and makes arguments about ethical issues of AI application of image generation. As a result, sophisticated legal restrictions should be implemented to prevent possible negative effects of AI models.
如今,人工智能(AI)在绘画领域产生了很大的影响。与手绘和挑战个人创造力相比,人工智能应用程序在转换为数据后进行添加噪声、去除噪声、恢复图像和保存当前过程的实践。在各种人工智能图像生成器模型中,扩散模型是最新的应用,主要包括两个模型,文字图像映射和扩散算法。本文介绍了图像生成的机制,并对图像生成中人工智能应用的伦理问题进行了讨论。因此,应该实施复杂的法律限制,以防止人工智能模型可能产生的负面影响。
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引用次数: 0
Design of an intelligent prevention and control platform for major public health emergencies based on a new generation of information technology 基于新一代信息技术的重大突发公共卫生事件智能防控平台设计
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2023.060304
Cunhong Li, Yunpeng Liu, Yan Xu
: As the COVID-19 has spread over the globe and become a pandemic authority, it has relied heavily on social isolation as a primary strategy for containment. When individuals are confined to their homes, digital technology plays a critical role in supporting their social, professional, and economic activities. There is a pressing need for contemporary healthcare facilities, particularly in developing nations where rural locations have lack high-quality hospitals and medical professionals. For the upcoming years, public health, human civilization, and the global economy will continue to be impacted by this unique coronavirus. Due to the Internet of Things (IoT) health care and automation services, people's health and satisfaction can be preserved when they remain socially isolated. In this paper, the COVID-19 prevention and control using the Internet of Things (CPC-IoT) platform has been suggested to enable social distance in the pandemic. The most crucial metrics for critical care are body temperature, pulse rate, and oxygen saturation, and this research proposes an IoT-based system that uses these variables in real-time. Using the suggested IoT architecture, we offer a short-and long-term approach for managing pandemic situations. Each architectural layer's concerns have been addressed by providing guidelines for design implementation. Covid-19 can be prevented and controlled utilizing an IoT platform that includes symptom diagnosis and quarantine monitoring steps. Compared to other commercially available devices, the system's results are confirmed to be accurate. IoT-based technologies can be useful in the event of a COVID-19 viral epidemic.
随着COVID-19在全球蔓延并成为流行病权威,它严重依赖社会隔离作为遏制的主要策略。当个人被限制在家中时,数字技术在支持他们的社会、专业和经济活动方面发挥着关键作用。迫切需要现代医疗保健设施,特别是在农村地区缺乏高质量医院和医疗专业人员的发展中国家。在未来几年,公共卫生、人类文明和全球经济将继续受到这种独特冠状病毒的影响。由于物联网(IoT)医疗保健和自动化服务,人们可以在社会隔离的情况下保持健康和满意度。本文提出利用物联网(CPC-IoT)平台防控新冠肺炎,实现疫情防控中的社交距离。重症监护最关键的指标是体温、脉搏率和氧饱和度,本研究提出了一种基于物联网的系统,可以实时使用这些变量。使用建议的物联网架构,我们提供了管理大流行情况的短期和长期方法。通过为设计实现提供指导方针,已经解决了每个体系结构层的关注点。利用包括症状诊断和隔离监测步骤在内的物联网平台,可以预防和控制Covid-19。与其他市售设备相比,该系统的结果被证实是准确的。在COVID-19病毒流行的情况下,基于物联网的技术可能会很有用。
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引用次数: 0
Research on Artificial Intelligence Applications Based on Data Mining Algorithms in the Era of Big Data 大数据时代基于数据挖掘算法的人工智能应用研究
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2023.060107
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引用次数: 0
Discussion on Key Technologies of Computer Artificial Intelligence Recognition 计算机人工智能识别关键技术探讨
Pub Date : 1900-01-01 DOI: 10.23977/jaip.2023.060410
Xincheng Jia
: Computer artificial intelligence recognition technology is a kind of operation means based on traditional computer technology, which has become a new type of science and technology today. At present, the scope of computer artificial intelligence recognition technology is very wide, and it is also very vulnerable to other different factors in the development. However, the research on key technologies of computer artificial intelligence recognition is relatively few in China, so relevant personnel must comprehensively study the application process of computer artificial intelligence recognition technology based on their own work experience, so as to provide strong reference for other personnel.
计算机人工智能识别技术是在传统计算机技术基础上发展起来的一种操作手段,已成为当今一种新型的科学技术。目前,计算机人工智能识别技术的范围很广,在发展中也很容易受到其他不同因素的影响。但国内对计算机人工智能识别关键技术的研究相对较少,相关人员必须结合自身工作经验,全面研究计算机人工智能识别技术的应用过程,为其他人员提供强有力的参考。
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引用次数: 0
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Journal of Artificial Intelligence Practice
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