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2nd International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2024

作者： Gao, Qian Miao, Yongxin Liu, Zhengdao State Grid Liaoning Province Company Yingkou Power Supply Company Yingkou China

ISBN: (纸本)9798350373318

With the rapid development of the power industry and the continuous growth of power demand, power production safety management has become a key link to ensure the stable operation of the power system and safeguard people's lives and property. In the face of the increasingly complex power system and changing operating environment, the traditional production safety management has been difficult to meet the needs of the modern power industry. Therefore, based on big data technology, this paper conducts an in-depth study on the application of electric power production safety management, aiming to improve the efficiency and reliability of electric power production safety management through a data-driven approach. By collecting, analyzing and applying big data in the electric power industry, it discusses how to use big data technology to improve the efficiency and reliability of electric power safety production management. At the same time, the specific applications of big data in various aspects of electric power production safety management, including risk assessment, early warning monitoring, and decision support, are discussed in the context of practical cases, and relevant management methods and technical means are proposed. © 2024 IEEE.

关键词： big data technology power safety production

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Design of a Smart Shipping Risk Prediction and Early Warning System Based on big data technology

Design of a Smart Shipping Risk Prediction and Early Warning...

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2024 International Conference on Telecommunications and Power Electronics, TELEPE 2024

作者： Zhao, Yihe Shanghai Maritime University Shanghai200000 China

ISBN: (纸本)9798350369212

In the current era of informatization and intelligence, intelligent management has become an important direction for the growth of the shipping industry. The widespread popularity of the Internet and the rapid growth of big data technology have not only profoundly changed people's lifestyle, but also brought unprecedented opportunities and challenges to all walks of life. In the field of shipping, big data technology can not only effectively improve the operational efficiency of shipping, reduce operating costs, but also achieve risk warning, further promoting the sustainable growth of the shipping industry. This article designs an intelligent shipping risk prediction and early warning system based on the core advantages of big data technology. This system integrates multi-source data such as ship transportation, meteorology, and navigation channels, and uses advanced big data analysis algorithms to predict and warn potential risks in the shipping process in real time. The experimental results show that the intelligent shipping risk prediction and early warning system designed in this article has high accuracy and real-time performance. At the same time, the application of this system has greatly improved the operational efficiency of shipping, reduced operating costs, and laid a solid foundation for the sustainable growth of the shipping industry. © 2024 IEEE.

关键词： big data technology early warning system Risk prediction Smart shipping

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Research on the Intelligent Path of Asset Recovery Based on big data technology 1

Research on the Intelligent Path of Asset Recovery Based on ...

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1st International Conference on Intelligent Manufacturing and Cloud Computing, ICIMCC 2024

作者： Yang, Fang Faculty of Public Administration Guizhou University Guizhou Guiyang550001 China

ISBN: (纸本)9781643685779

This paper explores the intelligent path of asset recovery based on big data technology, aiming to enhance the accuracy and efficiency of financial crime tracking. By integrating data, extracting features, and optimizing machine learning algorithms, an intelligent prediction system is constructed that can effectively identify high-risk transactions and improve the asset recovery rate. Experiments show that the random forest algorithm performs best in handling multidimensional data, with a model accuracy of 92.5%. The research results demonstrate the practicality and feasibility of intelligent systems in the field of asset recovery, providing significant technical support for financial risk prevention. © 2025 The Authors.

关键词： asset recovery big data technology intelligent path

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Application of information communication network security management and control based on big data technology

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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2022年第5期35卷 e4643-e4643页

作者： Du, Meiyan Shandong Univ Arts Dept Gen Educ Jinan 250014 Shandong Peoples R China

With the continuous development of communication technology and computer network technology and the continuous progress of social economy, information technology has penetrated into all aspects of people's lives. The basic task of communication network is to ensure the reliability and security of information transmission. Based on the above background, the purpose of this study is to study the application of information communication network security management and control based on big data technology. Based on the concept and management and control structure of information communication network, combined with the data collection and preprocessing in big data technology, this study analyzes the feasibility of big data technology applied in communication network management and control and expounds the specific application of big data technology from the four aspects of troubleshooting, security protection, business management, and resource allocation. At last, the test environment of information communication network security management and control platform based on big data technology is built in the laboratory to test the network management performance and routing transmission performance of the system. The experimental results show that the communication success rate of the information communication network security management and control platform based on big data technology remains to 91.78%. It can be seen from the test results that the information communication network security management and control platform based on big data technology can not only accurately collect sensor data but also have the function of real-time monitoring network status and reconfiguration of nodes.

关键词： big data technology detection system information communication network security

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High Precision Extraction of UAV Tracking Image Information Based on big data technology 1

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6th European-Alliance-for-Innovation (EAI) International Conference on Advanced Hybrid Information Processing (ADHIP)

作者： Jiang, Xiaobo Xie, Wenda Guangdong Polytech Sci & Technol Artificial Intelligence Coll Comp Engn Tech Coll Zhuhai 519090 Peoples R China

ISBN: (数字)9783031287879

ISBN: (纸本)9783031287862;9783031287879

The high-precision extraction of UAV tracking image information is of great significance to the development of UAV system, attitude control, real-time flight path planning and correction, accident analysis and payload. In order to improve the precision of UAV tracking image information extraction, a high precision UAV tracking image extraction method based on big data technology is proposed. Collect the tracking image information of UAV, and eliminate the spectral reflectance of ground objects through atmospheric correction;A multi viewpoint dense image matching method is used to generate a feature recognition model of image information;Creatively uses cubic convolution interpolation to establish image matrix;Calculate the world coordinates of the same feature point and the spatial direction of the wing line and symmetry axis to evaluate the image clarity of the UAV;The pyramid image matching strategy is used to automatically match and jointly adjust the points of the same name in each image layer;The size and direction of the key points are determined by fitting the three-dimensional quadratic function, and the gradient and direction of the key points are calculated respectively to achieve high-precision extraction of UAV tracking image information. Finally, the experiment results show that the method improves the precision of UAV tracking image information extraction, has high practicability and meets the requirements of the research.

关键词： big data technology UAV Image information Precision improvement

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Power Grid Engineering Safety Management Application Based on big data technology 3

Power Grid Engineering Safety Management Application Based o...

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3rd International Conference on Artificial Intelligence and Autonomous Robot Systems, AIARS 2024

作者： Zeng, Qi Power China Hainan Electric Power Engineering Co. Ltd. Hainan571100 China

ISBN: (纸本)9798350376173

Safety management of power grid projects is the first priority for the stable development of power grid companies, and how to use big data to empower the safety production management of power grid projects has become a focus topic for power companies. In view of the existing problems in power grid engineering safety management, this article proposes a power grid engineering safety management plan by analyzing the application scenarios of big data technology in power grid engineering safety management. The research in this article is of great significance to improve the safety management capabilities of power grid projects and accelerate the innovative application of big data technology in the power industry. © 2024 IEEE.

关键词： big data technology power grid engineering security management

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Construction and Communication Strategy of China's International Image Based on big data technology

Construction and Communication Strategy of China's Internati...

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2024 International Conference on Interactive Intelligent Systems and Techniques, IIST 2024

作者： Wang, Yong Beijing Foreign Study University Beijing100081 China

ISBN: (纸本)9798350374421

In the context of globalization, the construction and dissemination of national image has become the focus of attention of governments and academia. With the development of big data technology, it provides new opportunities and challenges for the construction and dissemination of China's international image. The overall evaluation of China's international image from 2013 to 2022 is mainly positive, and the popularity of China's international image is relatively high, ranking first among the big countries. By analysing the application of MapReduce technology in the construction and dissemination of China's international image, this paper proposes strategies for the construction and dissemination of China's international image based on big data technology, including strategies to improve the affinity of China's image, to improve the appeal of Chinese culture, and to improve the guidance of international public opinion, aiming to provide a useful reference for the shaping and dissemination of China's international image. © 2024 IEEE.

关键词： big data technology Chinese culture communication strategy international image international public opinion

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Research on Security Monitoring data Platform Based on big data technology

Research on Security Monitoring Data Platform Based on Big D...

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2024 International Conference on Artificial Intelligence and Power Systems, AIPS 2024

作者： Liu, Jiale Liu, Yuan He, Yong Wu, Dongjie PowerChina Northwest Engineering Corporation Limited No.18 East Zhangba Road Yanta District Shaanxi Province Xi'an710065 China Xi'an Key Laboratory of Clean Energy Digital Technology Yanta District Shaanxi Province Xi'an City710065 China

ISBN: (纸本)9798350392210

Aiming at the problems that the data forms of engineering safety monitoring business are complex and changeable, and the information types are numerous, and the traditional data processing and analysis methods are difficult to meet the needs of modern engineering, this paper studies and designs a safety monitoring data governance platform based on big data technology. The platform includes data acquisition module, data analysis module and data application module. After the design is completed, the platform conducts system test and algorithm test, tests the system response speed and operation stability of the system in the actual monitoring data processing, and tests the effect of the platform algorithm in the data processing. The test results have reached the expectations at the beginning of the design, which greatly improves the work efficiency of engineering safety monitoring data collection, improves the data quality of monitoring data, and provides a process solution supported by big data technology for engineering decision-making. © 2024 IEEE.

关键词： big data technology data analyze Platform design Security monitoring

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Research on computer static software defect detection system based on big data technology

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JOURNAL OF INTELLIGENT SYSTEMS 2022年第1期31卷 1055-1064页

作者： Li, Zhaoxia Zhu, Jianxing Arumugam, K. Bhola, Jyoti Neware, Rahul XingTai Univ Coll Math & Informat Technol Xingtai 054001 Peoples R China Karpagam Acad Higher Educ Dept Comp Sci Coimbatore Tamil Nadu India Natl Inst Technol Elect & Commun Engn Dept Hamirpur India Hogskulen Vestlandet Dept Comp Math & Phys Bergen Norway

To study the static software defect detection system, based on the traditional static software defect detection system design, a new static software defect detection system design based on big data technology is proposed. The proposed method can optimize the distribution of test resources and improve the quality of software products by predicting the potential defect program modules and design the software and hardware of the static software defect detection system of big data technology. It is found that the traditional static software defect detection system design based on code source data takes a long time, averaging 65 h /day. However, the traditional static software defect detection system based on deep learning has a short detection time, averaging 35 h/day. In this article, the detection time of the static software defect detection system based on big data is shorter than that of the other two traditional system designs, with an average of 15 h/day. Because the system design adjusts the operating state of the system, it improves the accuracy of data operation. On the premise of data collection, the system inspection research is completed, which ensures the operational safety of software data, alleviates the contradiction between system and data to a high degree, improves the efficiency of system operation, reduces unnecessary operations, further shortens the time required for inspection, improves the system performance, and has higher research and operation value.

关键词： software defect prediction detection system big data technology static software software evolution

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The Integration and Innovation of Smart Tourism Management and big data technology 3

The Integration and Innovation of Smart Tourism Management a...

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3rd International Conference on Artificial Intelligence and Autonomous Robot Systems, AIARS 2024

作者： Wang, Ping Shandong Polytechnic Vocational College Jining Shandong272000 China

ISBN: (纸本)9798350376173

The traditional tourism management model faces problems such as uneven distribution of resources, asymmetric information and low standardization of services. In order to provide new ideas and methods to solve these problems, this study adopts a comprehensive research method to understand the theoretical basis and research status of the integration and innovation of smart tourism management and big data technology. Through case analysis, this paper deeply studies the practical cases that have successfully applied smart tourism management and big data technology, and analyzes its successful experience and problems. By collecting and analyzing actual tourism data, the effect and influence of the integration and innovation of smart tourism management and big data (BD) technology are verified. The integration and innovation of smart tourism management and big data technology has important influences and opportunities on the tourism industry, hidden market demands and business opportunities can be discovered, providing tourism enterprises and related industries with Innovative products and services. © 2024 IEEE.

关键词： big data technology data Mining Smart Tourism Tourism Management

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