{"title":"Research on intelligent fault diagnosis of equipment based on deep learning and knowledge graph","authors":"Junqin Shi, Feng Chen","doi":"10.1117/12.2670335","DOIUrl":"https://doi.org/10.1117/12.2670335","url":null,"abstract":"In the running state of equipment, the accurate discovery and diagnosis of existing problems is an effective means to ensure the quality and benefit of system operation. Therefore, by using deep learning and knowledge mapping in practical exploration, researchers of various countries have put forward an intelligent fault diagnosis method based on multi-modal information of equipment, which can not only discover the hidden problems within the system in time, but also put forward effective prevention countermeasures based on the diagnosis of problems. In this paper, after understanding the knowledge graph technology and deep learning concept, a corresponding system model was constructed by extracting and integrating the collected multi-modal data information and referring to doctors' diagnosis and treatment process of patients. The final experimental results show that the system can diagnose the equipment autonomously and effectively improve the efficiency of daily management of the system.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115396995","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 single photon detection system and key technology","authors":"Quansheng Xu","doi":"10.1117/12.2670498","DOIUrl":"https://doi.org/10.1117/12.2670498","url":null,"abstract":"In the innovative development of social economy, the 3 d imaging laser radar has been widely used in military and civil fields, its dispersion rate of small, high resolution, fast imaging speed of utilizing scanning laser active 3 d imaging technology meet system quickly stable imaging the basic requirements, such as 3 d imaging laser radar technology at present stage is to explore the main direction. For scanning-free liDAR, in the work of long-range non-cooperative target, 3D imaging and detection, the number of echo photons falling on the pixel of detector array is small because the echo is relatively weak. Therefore, on the basis of understanding the current research status of detection technology and system in recent years, combined with the principle of laser heterodyne detection and the statistical principle of photon counting detection, this paper constructed a system ranging accuracy model, and studied the signal-to-noise ratio of photon pulse heterodyne detection system by using random phase-amplitude vector theory. Finally, a photon pulse heterodyne detection system which combines photon technology detection module and pulsed laser heterodyne detection module is obtained.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123437909","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":"Multi-area energy Internet collaborative planning method based on virtual energy hub","authors":"Tianqi Yu, Jiaxiang Yan, Anqing Chen, Dalin Wang, Xiaoying Zhong","doi":"10.1117/12.2671103","DOIUrl":"https://doi.org/10.1117/12.2671103","url":null,"abstract":"As an important energy Internet technology, energy hub can realize energy routing and information interconnection of power grid within a certain geographical range. Virtual energy hubs can connect multiple isolated energy hubs and expand the scale of energy Internet. However, the problem of optimal allocation of multiple energy sources considering uncertainty remains to be solved. This paper presents a stochastic programming method for device capacity and topology of multi-zone energy Internet. Firstly, based on the virtual energy hub, the integrated energy system with multi-area interconnection is modeled. Then, based on the extended energy transfer model and mixed power flow model, a multi-energy network association model considering virtual energy hub is established. A two-layer stochastic optimization algorithm for path planning is proposed. The outer layer determines the energy network candidate set, and the inner layer determines the cost optimal device capacity under uncertain scenarios. The simulation results show that the proposed method can give the installed capacity and topology structure of multi-area energy Internet, and the proposed planning algorithm greatly improves the planning efficiency. The relevant planning results are helpful to improve energy efficiency, reduce carbon emission, and improve the economic benefits of energy Internet.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122294187","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 group control elevator scheduling method based on fuzzy control algorithm","authors":"Yang Lu, Jintai Li","doi":"10.1117/12.2670488","DOIUrl":"https://doi.org/10.1117/12.2670488","url":null,"abstract":"In the development of high-rise intelligent building innovation, people put forward higher requirements for the elevator inside the building. In order to continuously optimize the service quality and safety performance of the elevator, the staff has changed from the traditional single elevator control to the coordinated control of multiple elevators, also known as elevator group control. How to use elevator group control to provide quality services for building residents under the background of the new era is the main issue discussed by scholars in the field of architecture. Therefore, on the basis of understanding the research status of modern high-rise intelligent buildings, according to the fuzzy control technology and the structure principle of elevator group control system, this paper deeply discusses the group control elevator scheduling method with fuzzy control algorithm as the core. The final experimental results show that this scheduling method has more research advantages than other algorithms, which is helpful to realize elevator group optimization control quickly.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128574042","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":"The application of data mining in data analysis","authors":"R. Chen","doi":"10.1117/12.2670423","DOIUrl":"https://doi.org/10.1117/12.2670423","url":null,"abstract":"In the context of the new era, the scale of computer hardware and system complexity began to change, the emergence of super-capacity storage equipment and multi-core CPU in the market, which makes it possible to store and process massive information on the computer. However, software development alone cannot solve the technical problems in reality. Therefore, according to the complex data in practice and exploration, researchers deeply discuss how to establish an effective method to process and use the existing data information, so that it can play its due role in all enterprises. Therefore, on the basis of understanding the concept of data mining and its content form, this paper mainly discusses how to apply embodied data mining technology algorithm in data analysis, taking power quality monitoring data analysis as an example. The experimental results show that data mining is effective in data analysis.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124706344","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":"Hydrodynamic numerical simulation of lake ecological water diversion based on MIKE21","authors":"Xiangyu Chen, Jiacheng Dai, Xiaojun Miao, Y. Qu","doi":"10.1117/12.2670107","DOIUrl":"https://doi.org/10.1117/12.2670107","url":null,"abstract":"In the steady development of social economy, the development of various countries based on the frequent occurrence of extreme events in the lake ecosystem, the lake ecological water transfer, which can not only develop a more perfect project management system, but also according to the relationship between the lake interior, for the prevention and control of ecological environment pollution put forward appropriate treatment countermeasures. In this paper, the MIKE21 software was used to build a mathematical model for the lake ecosystem, and the numerical simulation was carried out in combination with the characteristics of the hydrodynamic environment in a certain area. According to the data obtained from the measured analysis, the model is verified and analyzed. The final results show that the simulated results are basically consistent with the actual measured data, which proves that the numerical simulation method based on MIKE21 software is an important means to understand the hydrodynamic environment of lake ecological water transfer at present.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125680272","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":"An improved data mining algorithm in cloud computing platform","authors":"Xiaoyan Chen, Kun Zhang, Saimei Jiao, Jing Chen","doi":"10.1117/12.2670436","DOIUrl":"https://doi.org/10.1117/12.2670436","url":null,"abstract":"In this paper, introduces the relevant knowledge of cloud computing and data mining, focuses on the collaborative filtering algorithm used in data mining, and analyzes the role of this algorithm in data mining, compares the advantages and disadvantages of this algorithm, Aiming at the disadvantages of collaborative filtering algorithm, this paper proposes an improved collaborative filtering algorithm. Through the experimental analysis, the improved collaborative filtering algorithm is superior to the traditional collaborative filtering algorithm in performance.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115801312","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":"Image segmentation and research on virus propagation method based on Unet algorithm","authors":"Wenyi Zhang","doi":"10.1117/12.2669578","DOIUrl":"https://doi.org/10.1117/12.2669578","url":null,"abstract":"To investigate the propagation performance of the improved Unet network technology in the recognition and segmentation of hemorrhagic regions in brain CT images. Methods A total of 476 brain CT images of patients with spontaneous intracerebral hemorrhage were retrospectively included. The improved Unet network was used to identify and segment the hemorrhagic areas of the patients' brain CT images. Clinicians manually marked the image data of the hemorrhagic areas. 430 pieces of data from 106 patients were selected to enter the training set, and 46 pieces of data from 11 patients were entered into the test set. After the experimental data set was enhanced by data, it underwent network training and model testing to determine the virus cell spreading performance, and segmented the results. Comparison with Unet network, FCN-8s and Unet++ network. Results In the segmentation of the hemorrhagic region of brain CT images by the improved Unet network, the three evaluation indexes of similarity coefficient, forward prediction coefficient and sensitivity coefficient reached 0.8738, 0.901 1 and 0.864 8 respectively, which were improved respectively compared with FCN-8s network. 8.80%, 7.14% and 8.96%, which are 4.56%, 4.44% and 4.15% higher than the Unet network respectively.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"72 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133136205","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}
Chunlv Meng, Chun Chen, Jing Feng, X. Ji, Yuan Sun, Zhiliang Lin, Wenqing Chen, Shengyu Lin, Zhongmou Gao
{"title":"Research on porcelain pillar insulator cracking detection system based on vibrational acoustics","authors":"Chunlv Meng, Chun Chen, Jing Feng, X. Ji, Yuan Sun, Zhiliang Lin, Wenqing Chen, Shengyu Lin, Zhongmou Gao","doi":"10.1117/12.2670393","DOIUrl":"https://doi.org/10.1117/12.2670393","url":null,"abstract":"Porcelain pillar insulators are one of the basic equipment for operation and management of substations and power plants. The quality of practical work directly affects the safety performance of power grid system. Therefore, in the innovation and development of electric power industry, researchers have proposed a variety of detection methods and operating systems based on practical work experience. In this paper, based on the understanding of the application principle and the principle of vibroacoustics of ceramic prop insulators, and according to the status quo of actual research technology development, the cracking detection system of ceramic prop insulators with vibroacoustics as the core is deeply explored. The final experimental results show that this system can help the staff to conduct a comprehensive survey of cracking problems of porcelain pillar insulators. The actual detection efficiency is high, the application range is wide, and the labor intensity is low, which meets the requirements of substation construction management in the new era.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"23 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133169550","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":"Study on people's consumption of bottled water by big data analysis algorithms","authors":"Jiajun Jiang, Weilun Huang","doi":"10.1117/12.2669941","DOIUrl":"https://doi.org/10.1117/12.2669941","url":null,"abstract":"With the rapid development of modern society, people's quality of life has improved rapidly, leading to the apparent improvement of water quality requirements and more attention to health problems. At this time, bottled water with the health of the logo into people's vision gradually opened the bottled water market. This paper analyzes consumer behavior of bottled water (CBBW) and its influencing factors through a literature review, questionnaire survey and SPSS model and combined with the methods of big data analysis algorithms, analysis of variance, analysis of regression. analysis Of Effects and other methods to explore Consumer frequency of bottled water and consumer amount of CBBW are studied. Among the influencing factors, demand cognition of CBBW, advantages cognition of CBBW, felling cognition of CBBW and marketing cognition of CBBW are studied. At the same time, the influence of individual factors on CBBW is also studied. According to the questionnaire analysis, Demand cognition of CBBW (DCCB), Advantages cognition of CBBW (ACCB), Feelings cognition of CBBW (FCCB), and Marketing cognition of CBBW (MCCB) are the main influencing factors of CBBW.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127622002","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}