Wenchen Wang, Zhenmin Wu, Huanli Liu, Yongbing Lin, Junhong Zhou, S. Ye
{"title":"High-rise Constant Pressure Water Supply Control System Based on Fuzzy PID","authors":"Wenchen Wang, Zhenmin Wu, Huanli Liu, Yongbing Lin, Junhong Zhou, S. Ye","doi":"10.1145/3480571.3480615","DOIUrl":"https://doi.org/10.1145/3480571.3480615","url":null,"abstract":"∗Constant pressure water supply system has the characteristics of non-linearity, large inertia and large lag, so it is often difficult to establish an accurate mathematical model. The traditional PID control method is not flexible enough to achieve better control effect. In order to improve the stability and efficiency of water supply system, a variable frequency constant pressure water supply system based on fuzzy self-tuning PID is designed and simulated in Simulink environment of MATLAB. The experimental results show that the application of fuzzy PID control in water supply system shows good control effect, strong adaptability, stability and reliability, energy saving and environmental protection.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121569932","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}
Wenchen Wang, Huanli Liu, Zhenmin Wu, Junming Ye, Haipeng Zeng, Qinjun Li
{"title":"Research on leachate pressure control system based on single neuron predictive control","authors":"Wenchen Wang, Huanli Liu, Zhenmin Wu, Junming Ye, Haipeng Zeng, Qinjun Li","doi":"10.1145/3480571.3480613","DOIUrl":"https://doi.org/10.1145/3480571.3480613","url":null,"abstract":"∗Landfill leachate is a kind of highly concentrated waste water produced in landfill sites. The composition of landfill leachate is complicated due to the variety of garbage types, so it is necessary to treat the landfill leachate separately. In this paper, on the basis of fully understanding the technological process and system structure of landfill leachate treatment plant, the treatment process of landfill leachate is analyzed, and the control requirements and difficulties of the whole treatment process are analyzed. After analysis, a single neuron predictive control system is adopted to achieve accurate control of OCRO inlet pressure. Firstly, the OCRO inlet pressure is analyzed and the control block diagram of the closed loop is established. Through the historical data of the county’s landfill leachate treatment station, Simulink toolbox in MATLAB software was used to simulate the controlled object, and the transfer function of the controlled object was obtained. Then on the basis of the conventional PID control algorithm and the combination of neural network design single neuron PID intelligent control algorithm. Through MATLAB simulation, the results show that the controller based on the single neuron PID control algorithm has a slight overshoot and poor adaptive ability. Then, the single neuron PID is combined with the Smith controller to eliminate the big delay problem in the single neuron PID control process and improve the adaptive ability of the controller.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125666733","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 transformer fault diagnosis based on sparrow algorithm optimization probabilistic neural network","authors":"Mingxia Chen, Hanyu Shi, Junjie Wu","doi":"10.1145/3480571.3480616","DOIUrl":"https://doi.org/10.1145/3480571.3480616","url":null,"abstract":"∗To solve the problems such as the inability to monitor the operation of oil-immersed power transformers in real-time, low accuracy and slow speed of fault diagnosis, a fault diagnosis based on a sparrow algorithm (SSA) optimizing the probabilistic neural network (PNN) was proposed. PNN with its some advantages such as simple training, additional sample ability is widely used in multiple fault diagnosis field, but smooth factors of PNN optimization is a difficult problem, this article uses three ratio methods to deal with the collected raw dissolved gas analysis (DGA) data, optimize the input data, then SSA is used to optimize the smooth factor of PNN, to establish an optimized fault diagnosis model SSA-PNN. The simulation results show that compared with the network before optimization and the traditional back propagation (BP) neural network, the accuracy of transformer fault diagnosis is significantly improved and the convergence speed is faster.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130388463","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":"Design of on-line GPS positioning development system","authors":"yan Zhi, Jiacai Chen","doi":"10.1145/3480571.3480620","DOIUrl":"https://doi.org/10.1145/3480571.3480620","url":null,"abstract":"With the development of society and the advancement of science and technology, GPS positioning technology is widely used in the fields of traffic navigation, navigation and aviation, geological surveying and national defense and security. This design is an online GPS positioning development system based on STM32, and one is designed based on the STM32 platform. High-precision GPS positioning system. This system is composed of STM32F407ZGT6 microcontroller, GPS positioning module, LCD display and Bluetooth module. The GPS module receives the positioning information from the GPS satellite constellation in real time and transmits the information to the STM32 chip. STM32 communicates GPS information data through NMEA-0183 The agreement is analyzed, and the positioning information obtained after processing includes longitude, latitude, altitude, speed, the number of visible GPS satellites, the number of visible Beidou satellites, the number of GPS satellites used for positioning, UTC date and UTC time, and displays these information On the LCD screen, the positioning information can also be transmitted to mobile devices such as mobile phones through the Bluetooth module. The design system can detect the GPS positioning information of the location at any outdoor location, and the position information can be viewed intuitively through the LCD screen. The detected positioning information is sent to the mobile phone via Bluetooth for more convenient storage, achieving real-time and high accuracy Degree of positioning.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130334854","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":"Mechanical visual identification of batch parts based on Halcon software","authors":"Cheng Xiong, Jiyuan Zhu","doi":"10.1145/3480571.3480588","DOIUrl":"https://doi.org/10.1145/3480571.3480588","url":null,"abstract":"∗In recent years, with the vigorous development of information technology, the already verymature industry has been further developed, a large number of factories from the original production mode gradually upgraded to semi-automation, and constantly close to full automation. In the research and development process of production automation, machine vision technology, as a very key technology, has gradually become a hot research field. With the advantages of high detection accuracy, high efficiency, and non-contact, it has been widely used in the appearance and defect detection of mechanical parts. Quality inspection of parts is an important link that must be carried out before the use of parts. Only qualified parts can meet the requirements of use. Traditional detection methods cannot meet the requirements of detection due to high cost and low precision. In this article, through further study of machine vision detection technology, build the test platform based on machine vision technology, from hardware selection, the visual system design, research, and camera calibration algorithm, etc, on this basis, the mechanical parts of parallelism and perpendicularity, alignment, and parts of shape defect detection as the research target, select the appropriate object detection, all of them have reached the actual requirement of detection.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130207964","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":"Design and analysis of a wheel-track composite stair climbing wheelchaire","authors":"T. Lan, Zhi-Wei Zhang, Xuan-Jun Dai, W. Shi","doi":"10.1145/3480571.3480600","DOIUrl":"https://doi.org/10.1145/3480571.3480600","url":null,"abstract":"∗As an autonomic and convenient assistance device for people with elderly and the disabilities climbing up and down stairs, stairclimbing Wheelchair have attracted great attention and some various stair-climbing Wheelchair were developed in the market. This paper selects wheel-track wheelchair for design and research, by comparing the existing wheelchair types. According to the working mode, the overall frame diagram of the control system is designed. Wheelchair climbing stairs is divided into two stages. The purpose of this paper is to study the motion performance of two stages to achieve the goal of wheelchair climbing. The finite element analysis of the key parts of the stair climbing wheelchair is realized by Workbench in ANSYSY software. The bending moment and torque are checked theoretically, which provides a reliable basis for the design of the wheelchair. CCS CONCEPTS • Computing methodologies; • Modeling and simulation; • General and reference; • Cross-computing tools and techniques; • Design;","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134101212","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 of model of airflow-coupled arcs based on MATLAB","authors":"Dong Wu, Zelin Ji","doi":"10.1145/3480571.3480597","DOIUrl":"https://doi.org/10.1145/3480571.3480597","url":null,"abstract":"∗In the present AC-AC system, the arc faults caused by insulation defects and loose joints, which are not easily extinguished and difficult to detect, are the main cause of electrical fire accidents, so it is important to analyze the generation of arcs and their principles. This paper outlines the fault characteristics of the arc and some of its mathematical models based on the arc gap balance energy, and the Cassie arc model as an example, uses MATLAB/simulink platform, simulation of the voltage and current waveform in a single resistive load, inductive load, parallel resistive load. Getting in the current over zero, there is zero rest phenomenon. Voltage will be distorted. In the case of parallel load, the current waveform will be superimposed with normal waveform and fault waveform, resulting in zero rest phenomenon that is not obvious, which shows that the simulation has certain reliability.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122036299","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}
Min Chen, Yi Xiao, Xiaoguang Yue, Hongmei Yang, U. Comite
{"title":"Innovation of Practical Teaching Mode of Marketing Major-Market Research and Forecast under the Background of Big Data","authors":"Min Chen, Yi Xiao, Xiaoguang Yue, Hongmei Yang, U. Comite","doi":"10.1145/3480571.3480579","DOIUrl":"https://doi.org/10.1145/3480571.3480579","url":null,"abstract":"Under the background of big data, this paper innovates the practical teaching mode of marketing major. Taking the tourism website as an example, aiming at the low retention, conversion rate and loyalty of website users, it adopts the machine learning technology of logistic regression to carry out market survey and user behavior prediction for website users. The model is established to preprocess the behavior data set of website users, classify the data set according to a fixed proportion, and verify that the classification of the data set follows the same statistical distribution. Finally, the corresponding model of logistic regression machine learning algorithm is established to predict the behavior of website users. The prediction results show that the model can accurately predict the behavior of website users, so as to understand the preferences of users, help students better formulate marketing strategies, and improve their marketing practice ability.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122568867","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}
Yong Liang, Xing Luo, Zhisong Xie, Qi Cui, Lifu Gan
{"title":"The realization and optimization of path planning algorithm for autonomous mobile robot","authors":"Yong Liang, Xing Luo, Zhisong Xie, Qi Cui, Lifu Gan","doi":"10.1145/3480571.3480589","DOIUrl":"https://doi.org/10.1145/3480571.3480589","url":null,"abstract":"∗Autonomous mobile robot navigation is a research hotspot in recent years, and path planning technology is the core part of navigation technology. Path planning is often realized by the combination of global and local path planning. Taking gazebo as the experimental platform and using TurtleBot as the experimental object, the navigation performance and resource occupancy rate of Dijkstra + DWA and Dijkstra + TEB are tested, and the performance difference between the two combinations is analyzed. The path planning of the latter combination performs better in navigation effect when performing the same task, and the average time consumption is 49.9% of the former combination, The CPU utilization is lower, only 24.016% on average, and the dependence on two-dimensional grid map is very low, and it can even navigate to unknown areas of the map.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114073109","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 Copper Foil Winding of Transformer Surface Defect Detection Based on Machine Vision","authors":"Guihua Yang, Zhicheng Dai","doi":"10.1145/3480571.3480605","DOIUrl":"https://doi.org/10.1145/3480571.3480605","url":null,"abstract":"∗Copper foil winding transformer has been widely used in dry transformers because of its small size, light weight and low material usage. Based on Halcon machine vision software, a defect detection study is carried out on a mass-produced transformer copper foil winding, and through the algorithm design of transformer copper foil winding image pre-processing, edge denoise, feature extraction and surface defect recognition, themachine vision detection process of the copper foil surface defect of transformer is established, the imaging system and hardware platform are set up, multiple sets of copper foil images are collected, and the copper foil detection algorithm is tested, and good results are obtained.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122073935","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}