Modeling and Analysis of the Impact of Big Data on the Development of Education Network

The arrival of the big data era not only provides corresponding technical support for the development of Educational Networking but also promotes the acceleration of Educational Networking. Therefore, this paper puts forward the research on the impact of big data on the development of education network and constructs a Bayesian knowledge tracking model to collect and analyze the behavior data of teachers and learners in network education. The experimental results show that big data technology provides greater development space for Education Networking. Its market scale has reached 502.47 billion yuan in 2021, and there is a trend of continuous growth. At the same time, the increase in the number of users also makes its teaching content richer and teaching methods more diversified and personalized. And, through the analysis of relevant data, learners and teachers can more comprehensively and truly understand their own level, achieve the purpose of accurate assistance to learners and teachers, and help learners and teachers find their own problems and make targeted adjustments. In addition, the campus intelligent management system based on big data technology can achieve the purpose of multipurpose and information management.

Human Development Management as the Basis for the Pre-Adaptation of Complex Systems in Conditions of Uncertainty and Unpredictability

The article is devoted to the issue of managing the balanced development of human potential in a new socio-economic reality, which is characterized by a high degree of unpredictability, interconnectedness and interdependence, globalization and informatization of the environment and introduction of digital, cognitive and hybrid technologies. There is a need to recognize the dominant role of scientific knowledge and creative implementation, wise management and consumption. For the first time, the term “noo- management” was introduced: it is a method of intelligent management of the fundamental processes of personality development focused on higher-order values and creative implementation.

Big Data Technology in Intelligent Management and Control System of Drainage Pipe Network

With the rapid development of urban construction, smart city has become an important trend in the future, which is inseparable from the intellectualization of drainage pipe network. At the same time, with the increasing frequency of urban flood disasters, the old drainage pipe network system will cause significant economic losses, which requires modern cities to establish intelligent management and control of drainage pipe network. However, the situation of drainage facilities in most cities in China is complex, which requires strengthening modern means such as monitoring, operation management and planning services. Therefore, the research on intelligent management and control system of drainage pipe network based on big data technology is of great significance. Firstly, this paper analyzes the importance of intelligent management and control system. Then, this paper puts forward the main algorithms for big data processing. Finally, this paper constructs the intelligent management and control system of drainage pipe network.

Power Grid Planning and Dynamic Intelligent Management System Construction Based on Operation Simulation

The operation simulation system of the power grid is a complex and huge dynamic model, and its establishment and management are of great significance in power enterprises. The intelligence of the power grid is to manage the power system through computer technology, so that it can provide users with high-quality, convenient, safe, reliable and high-efficiency services. To this end, this article is based on operating simulation experiments to construct a power grid planning and dynamic intelligent management system. The purpose is to provide people with a fast and accurate power management system to facilitate life. This article mainly constructs the system through investigation method, experimental analysis method, data analysis method and so on. Experimental research shows that the accuracy of data obtained by using information technology in power grid planning and intelligent management system construction is relatively high, reaching 93.2%.

Archive access robot for smart archive repositories

Purpose Managing archives using robots rather than people can considerably enhance efficiency, while need to modify the structure of archive shelves or installation tracks. This paper aims to develop a fully automated archive access robot without modification. Design/methodology/approach First, a mobile navigation chassis and a motion algorithm based on laser ranging and map matching are created for autonomous movement to any of the archives’ locations. Second, because the existing archives are stacked vertically, the bionic manipulator is made to mimic the movement of manual access to the archives, and it is attached to the robot arm’s end to access different layers of archives. In addition, an industrial camera is used to complete barcode identification of the archives and acquire data on their location and thickness. Finally, the archive bin is created to store archives. Findings The robot can move, identify and access multiple archival copies placed on floors 1–6 and 2–5 cm thick autonomously without modifying the archival repository or using auxiliary devices. Research limitations/implications The robot is currently able to navigate, identify and access files placed on different levels. In the future, the speed of the robot’s navigation and the movement of the robot arm could be even faster, while the level of visualization of the robot could be further improved and made more intelligent. Practical implications The archive access robot developed by the authors makes it possible for robots to manage archives instead of human, while being cheaper and easier to deploy than existing robots, and has already been tested in the archive storage room of the State Grid maintenance branch in Jiangsu, China, with better results. Social implications The all-in-one archive access robot can replace existing robotic access solutions, promote intelligent management of the archive industry and the construction of unmanned archive repositories and provide ideas for the development of robots for accessing book-like materials. Originality/value This study explores the use of robots to identify and access archives without changing archive shelves or installing auxiliary devices. In this way, the robot can be quickly applied to the storage room to improve the efficiency of archive management.

Simulation and Modeling Algorithm for Terminal Container Handling Intelligent Management Based on Internet of Things and Big Data Technology

In order to improve the effect of intelligent terminal container management, this paper improves the Internet of Things and big data technology, analyzes the RFID middleware architecture based on the actual needs of container handling management, and proposes a new method of RFID middleware load balancing. Moreover, this paper combines the Internet of Things technology and big data technology to analyze the terminal container loading and unloading process and build a corresponding intelligent system. After constructing a terminal container handling intelligent management system based on the Internet of Things and big data technology, the performance of the system is verified, and multiple sets of simulation data are used to conduct research. The experimental research results show that the terminal container handling management system based on the Internet of Things and big data constructed in this paper basically meets the actual needs of use.