{"title":"Construction of Mechanical Control System Based on Artificial Intelligence Technology","authors":"Donghua Zhuang, Fei Gao, Rui Zhu","doi":"10.1145/3495018.3495474","DOIUrl":"https://doi.org/10.1145/3495018.3495474","url":null,"abstract":"Since the concept of \"artificial intelligence\" was put forward in 1956, it has been very successful both in application and promotion, and gradually changed its name to engineering technology. So far, it has been used for automatic translation, remote control, robot design and manufacturing, language and image analysis, genetic programming, automated factories, automated programming, aviation and aerospace applications, a large amount of information processing, information storage. The management and execution of complex or large-scale tasks that the human body can complete has great research value for artificial intelligence in these areas. The purpose of this article is to study the construction of a mechanical control system based on artificial intelligence technology. In this document, the motion and rotation equation models of the robotic arm are defined. According to the case in the report, calculate the maximum torque that each arm joint can bear, and use the calculated specific data parameters in the experiment and compare it in the literature. The experimental results are compared with the experimental results of this article. Through the research of the engine control system, based on a large amount of research and practice, this paper examines the threats and loopholes of the system in detail, and designs a system based on WINdow7. This paper uses the data obtained in the actual evaluation and practice of the system and the calculation results of the actual operation method to verify the rationality, feasibility and value of the artificial intelligence-based mechanical operating system. Experimental research shows that based on the artificial intelligence technology proposed in this paper, the specific rotation value of each joint is determined to be as high as 300 degrees through actual observation and practice. The data and the related formulas are calculated, and the results obtained are more reliable and true. It proved the feasibility and value of the mechanical control system specified in this article.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"518 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77172175","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}
{"title":"Extraction Method of Athlete's Shooting Motion Trajectory Based on Image Segmentation Algorithm","authors":"Liangkai Guan","doi":"10.1145/3495018.3495421","DOIUrl":"https://doi.org/10.1145/3495018.3495421","url":null,"abstract":"The shooting action is one of the commonly used offensive methods in basketball games. This article proposes a method of extracting the basketball shooting action based on the image division algorithm. Aiming at the unique feature of the basketball shooting object in the basketball video, the video image is mixed with Gaussian modeling, and the Grab Cut algorithm is used to divide the basketball object to realize the extraction of the basketball foreground. The results of the simulation experiments show that in the video of the basketball ball, the goal of the basketball shot is divided and extracted. It has good results, and the method has the advantages of less interactive operations and high accuracy of division, which can extend the color field of the image.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81297291","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}
{"title":"Fault Diagnosis and Fault Tolerant Control of Two manipulators Cooperation System","authors":"Wei Wu, Zhixin Cheng, Rui Zhang, Baomei Xu","doi":"10.1145/3495018.3495077","DOIUrl":"https://doi.org/10.1145/3495018.3495077","url":null,"abstract":"In this paper, a new actuator fault diagnosis and fault-tolerant control scheme is proposed for a cooperation system composed of two manipulators. When two manipulators perform parts assembly, hole-shaft coordination and other tasks, the output of the two manipulators needs to satisfy the objective function. The occurrence of fault will cause the collaboration task to be unable to complete. Thus, a new fault tolerant control scheme is adopted in this article. Assuming that the first manipulator subsystem has a multiplicative actuator fault, an adaptive observer is designed in the first manipulator system to get fault information and the controller in the second manipulator system is redesigned to make the outputs of the two manipulators still satisfy the objective function after a fault occurs. Finally, the simulation of the two-joint manipulator officially confirmed that the algorithm is effective.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81412489","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}
{"title":"Monitoring Algorithm for Lateral Displacement of Reinforced Concrete in Super High-rise Building","authors":"Bing Liu","doi":"10.1145/3495018.3495438","DOIUrl":"https://doi.org/10.1145/3495018.3495438","url":null,"abstract":"In recent years, with the rapid development of my country's economy, super high-rise buildings(SHB) have continuously emerged in my country's urban construction. The structural safety issues caused by building quality and structural aging have greatly attracted the attention of the society. With the increasing maturity of sensor technology and the development of modal parameter identification methods for structural systems, structural health monitoring is increasingly applied to SHB and long-span bridges. Reinforced concrete(RC) is an important material for building frame structures. Monitoring and preventing the lateral displacement of RC can effectively avoid the existence of potential safety hazards. This article mainly adopts experimental analysis and data analysis methods to explore whether the RC of SHB undergoes lateral displacement, so as to locate the location of hidden dangers in time, and allow sufficient time for the preparation of specific response plans. This paper compares and analyzes the simulated measured value and the measured lateral displacement value for the monitoring points in different directions. According to the experimental research results, compared with the measured lateral displacement value, the simulated measured displacement value has a small difference.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78971496","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}
{"title":"Research on Intelligent Transformation and Upgrading of Chinese Manufacturing Industry under RCEP Framework","authors":"Liping Yin","doi":"10.1145/3495018.3495049","DOIUrl":"https://doi.org/10.1145/3495018.3495049","url":null,"abstract":"The introduction of informatization standard for special qualification of general contracting enterprises has set off a wave of informatization in construction industry. Multitier distributed technology has many different concepts and requirements from the previous single-tier or two-tier structure in terms of design ideas and system implementation. In the construction of system structure model, the object-oriented method is used, and the concept of application server is introduced, emphasizing that rational design and use of enterprise objects is the main responsibility of building systemmodel. The project management system described in this paper is designed and implemented based onmulti-tier architecture, whichmaximizes user rights customization in terms of functions, supportsmulti-project collaborative management, supports concurrent environment with 500 users in performance, has good security performance and scalability, and fully meets the innovative management needs of enterprises for projectmanagementmeth-","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"180 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75990457","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}
{"title":"Simulation Model of Photo-voltaic Grid-connected Power Generation","authors":"S. Tao, Yidan Song","doi":"10.1145/3495018.3501208","DOIUrl":"https://doi.org/10.1145/3495018.3501208","url":null,"abstract":"In order to overcome the increasingly severe problem of energy shortage, a novel simulation model of photo-voltaic grid-connected power generation is proposed in this paper. The model uses PSCAD software to model and simulate the data of photo-voltaic power generation, and explores the impact of photo-voltaic power generation grid connection on power network parameters by changing different control factors and setting short-circuit faults. The results show that the model is indeed helpful to overcome the increasingly severe problem of energy shortage, and then effectively alleviate the energy shortage.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76087580","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}
{"title":"Settlement and Deformation Monitoring of Road-Bridge Transition Section Based On 3D Laser Scanning Technology","authors":"Keying Han","doi":"10.1145/3495018.3495445","DOIUrl":"https://doi.org/10.1145/3495018.3495445","url":null,"abstract":"With the all-round development of basic engineering across the country, in order to ensure its safety during construction and operation, as well as scientific and reliable deformation monitoring for building design and management, three-dimensional laser scanning technology is very good in terrain survey and deformation monitoring. Not only can the impact of environmental factors be controlled to a minimum, but also data can be collected at a faster collection speed. Three-dimensional laser scanning technology is continuously being introduced into architectural engineering design. Using three-dimensional laser scanning technology to monitor the settlement and deformation of the road-bridge transition section can effectively reduce the incidence of near-accidents and minimize the losses caused by road-bridge accidents. The main research content of this paper is the research and analysis of three-dimensional laser scanning technology combined with the detection of settlement and deformation in the transition section between roads and bridges. Three-dimensional laser scanning technology is a reflection method of transmitting laser to receive the reflected laser signal of the target, and scanning the three-dimensional space in a non-contact manner, fully automatic and high-precision fast The goal in, to achieve three-dimensional large-scale, high-precision, high-resolution point coordinate data. The final result of the research shows that the linear interpolation error of the first period is 2.4mm, the nearest neighbor interpolation and polynomial interpolation are 2.4mm and 2.8mm, respectively. According to regulations, the allowable error of measurement in the settlement monitoring of the transition section of road and bridge should be within 3mm, indicating that the three-dimensional laser scanning technology has a good use effect.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87628764","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}
{"title":"Defect Detection Method for Die-casting Aluminum Parts Based on RESNET","authors":"Hao Jiang, Wei Zhu","doi":"10.1145/3495018.3501233","DOIUrl":"https://doi.org/10.1145/3495018.3501233","url":null,"abstract":"Surface defect detection of die-cast aluminum parts is always the focus of auto-mobile quality control. Most of the existing algorithms are designed to detect defects in a particular working condition. Although the effect is good, the application scope is relatively narrow. In the field of surface defect detection of die-cast aluminum parts, one of the current challenges is to segment target detection positions from complex field camera images and effectively detect defects in products in real time. In this paper, a defect detection algorithm combining traditional digital image processing algorithm and deep learning algorithm is proposed. The tar-get detection area is cut out timely and effectively through traditional image processing, and then the target area is classified by using residual network. The experimental results on the surface defect data set of die-casting aluminum parts show that the detection speed of this algorithm is very fast, and the accuracy rate reaches 98%.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87744116","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}
{"title":"Automatic Control Analysis of Mechanical and Electronic Engineering Based on Machine Learning","authors":"Yaowei Yu","doi":"10.1145/3495018.3501219","DOIUrl":"https://doi.org/10.1145/3495018.3501219","url":null,"abstract":"With the continuous development of social economy, science and technology in China, the mechanical and electronic engineering technology is gradually improved, and its technical demand is constantly increasing, and it is gradually developing in the direction of intelligence and diversification. In this case, control engineering has shown high application value in mechanical and electronic engineering. While paying attention to mechanical and electronic engineering, it is necessary to strengthen the research on electronic technology and mechanical control technology. Therefore, firstly, the intelligent control engineering and mechanical and electronic engineering are briefly summarized, and the application of intelligent control engineering in mechanical and electronic engineering is discussed. Finally, taking the construction of robot arm posture learning network as an example, the specific application content of mechanical and electronic engineering automation control based on machine learning is analyzed, aiming at providing reference for related researchers.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88346580","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}