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Research on the Application of Artificial Intelligence Technology in Intelligent Operation and Maintenance of Industrial Equipment and System
With the rapid development of network communication technology, artificial intelligence (hereinafter referred to as AI) technology has been deeply optimized, which has been applied to all walks of life, especially industrial equipment system. At present, industrial automation equipment is reasonable judgment through algorithm, which is inseparable from AI technology. Through AI technology, modern industry has undergone earth shaking changes, which constantly promote the traditional industrial structure adjustment and optimization and upgrading. This is the continuous upgrading of the industrial structure and the promotion of AI. According to the architecture of reliability, availability, maintainability and safety, the security and availability of the system are guaranteed by reliability and maintainability, which requires us to improve the reliability of operation and maintenance of the system. This paper first analyzes the importance of AI technology in the industrial field. Then, this paper analyzes the Metro signal equipment system architecture. Finally, some key technologies are proposed.
Journal Article
The rise of industry (1700-1800)
In only a few decades, new materials, new machines, new sources of power, and new methods of transportation changed the face of the world. Mines, furnaces, and mills formed the basis of towns where the routines of the natural world were subject to the rhythms of the factory. This book explores the innovations of the 18th century and how they changed the world forever.
Book
A Non-Intrusive Load Decomposition Model Based on Multiple Electrical Parameters to Point
The sliding window method is commonly used for non-intrusive load disaggregation. However, it is difficult to choose the appropriate window size, and the disaggregation effect is poor in low-frequency industrial environments. To better handle low-frequency industrial load data, in this paper, we propose a vertical non-intrusive load disaggregation model that is different from the sliding window method. By training multiple electrical parameters at a single point on the bus end with the corresponding load data at the branch end, the proposed method, called multiple electrical parameters to point (Mep2point), takes the electrical parameter data sampled at a single point on the bus end as its input and outputs the load data of the target device sampled at the corresponding point. First, the electrical parameters of the bus end are processed, and each item is normalized to the range from 0–1. Then, the electrical parameters are vertically arranged by their time point, and a convolutional neural network (CNN) is used to train the model. The proposed method is analyzed on low-frequency industrial user data sampled at a frequency of 1/120 Hz in the real world. We compare our method with three advanced sliding window methods, achieving an average improvement ranging from 9.23% to 22.51% in evaluation metrics, while showing substantial superiority in the actual decomposed images. Compared with three classical machine learning algorithms, our model, using the same amount of data, significantly outperforms these methods. Finally, we also compared our method with the multi-channel low window sequence-to-point (MLSP) method, which also selects multiple electrical parameters. Our model’s complexity is much less than that of the MLSP model, and its performance remains high. The superiority of our model, as presented in this paper, is fully verified by experimental analysis, which can produce better actual load decomposition results from each branch and contribute to the analysis and monitoring of loads in industrial environments.
Journal Article
Vintage industrial : living with machine age design
\"An exquisitely illustrated celebration of this influential style that is now at the forefront of interior design. Vintage Industrial covers the period from 1900 to 1950, which produced the raw, functional aesthetic that has become a cornerstone of modern design. The advent of the second industrial revolution created the need for a new kind of furniture to satisfy the demands of a rapidly growing workforce. Chairs, tables, lamps, and modular storage were designed from new materials to be mass-produced, stackable, and adjustable to the developing needs of brand-new industries that in turn were manufacturing the products that would define a changing society. These pieces, that inform a reclaimed style, are now highly popular among collectors and interior designers. This volume celebrates the engineers who shaped the industrial aesthetic as the unsung heroes of modern design and showcases their creations. By discovering ways to work iron and steel into functional forms, luminaries such as Bernard-Albin Gras, George Carwardine, Jean Prouvâe, and âEdouard-Wilfred Buquet sparked a revolution in the way we think about our built environment. Five chapters--on lighting, seating, tables, storage, and curiosities--describe the major innovations and designs from the period and include stunning photography depicting these objects in homes, workshops, factories, and warehouses. Meticulously curated, this elegant book is an informative style guide and source of inspiration for how to live with industrial design.\"-- Provided by publisher.
Book
Solar hydrogen generation : transition metal oxides in water photoelectrolysis
\"Expert techniques for extracting hydrogen from water using transition metal oxides as catalysts Solar Hydrogen Generation details the complex process of separating hydrogen from oxygen--photoelectrolysis. This book comprehensively covers the chemical characteristics of transition metal oxides, explaining how to covert solar energy to electron energy through transition metal oxides. Past experimentations and future directions are discussed. Solar Hydrogen Generation Comprehensively reviews physical characteristics of transition metal oxides both in electrochemical and photocatalytic applications Includes history and future prospects for water photoelectrolysis Reviews state-of-the-art achievements in the fields of condensed matter physics, nanostructured material science, electrochemistry, and photocatalysis Addresses potential problems and solutions In-depth coverage: Hydrogen Production; Electrochemistry and Photoelectrolysis; Transition Metal Oxides; Molecular Structure, Crystal Structure, and Electronic Structure; Optical Properties and Light Absorption; Bandgap, Band Edge, and Engineering; Impurity, Dopants, and Defects; Photocatalytic Reactions, Oxidation and Reduction; Organic and Inorganic Systems; Surface and Interface Chemistry; Nanostructured and Morphology; Synchrotron Radiation and Soft X-Ray Spectroscopy\"--Provided by publisher.
Book
Artificial Intelligence Tools
This book discusses white- and black-box approaches to fault diagnosis in condition monitoring, delivering a thorough evaluation of the latest artificial intelligence tools. It addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniques, considering the merits of each technique as well as the issues associated with real-life application. It covers classification methods, from neural networks to Bayesian and support vector machines. It proposes fuzzy logic to explain the uncertainties associated with diagnostic processes. It also provides data sets, sample signals, and MATLAB code for algorithm testing.
eBook