scholarly journals Application of Artificial Intelligence Technology in Mechanical Electrical Control System

2021 ◽  
Vol 2066 (1) ◽  
pp. 012057
Author(s):  
Nan Li
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Control Systems ◽  
Current Status ◽  
Work Efficiency ◽  
Electrical Control ◽  
Existing Problems ◽  
The Core ◽  
Core Technology ◽  
Artificial Intelligence Technology

Abstract Artificial intelligence technology (A I T) has also been widely used in society. Combining A I T with mechanical and electrical control systems will bring huge profits to the corporate sector and greatly improve work efficiency. It can save a lot of money in the electrical control operations of all walks of life in the country, and fill the gap in this technology in the country. The purpose of this article is to study the application of A I T in mechanical electrical control systems (M E C S). This article first introduces the basic theories and concepts of A I T, extends the core technology of A I T, and combines the current status of the electrical control system of modern enterprises in our country to discuss its existing problems, and finally studies and analyzes A I T and machinery. Combination of electrical control systems, and discuss the application of A I T in mechanical electrical orifice subsystems. Experiments show that, compared with the existing M E C S, the M E C S using A I T can better complete the work and improve work efficiency.

scholarly journals Risk Management in the Construction of Intelligent Transportation Platform Based on Artificial Intelligence

CONVERTER ◽  
2021 ◽  
pp. 543-549
Author(s):  
Hongxi Di
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Traffic Management ◽  
Motor Vehicle ◽  
Transmission Rate ◽  
Intelligent Transportation ◽  
Existing Problems ◽  
Core Technology ◽  
Artificial Intelligence Technology ◽  
Response Measures

The smoothness of a city's traffic is one of the signs that measure the development of a city. With the advent of the era of artificial intelligence and big data, the previously bloated and blocked motor vehicle transportation system is increasingly unable to adapt to this fast-paced society. The use of artificial intelligence technology to build a brand-new intelligent transportation platform is imminent, and reasonable planning of the risks in the construction of the transportation platform can effectively increase the transmission rate and reduce the frequency of accidents. The purpose of this paper is to study the risk management in the construction of intelligent transportation platform based on artificial intelligence. This article first summarizes the basic theory of artificial intelligence, and then extends the core technology of artificial intelligence. And combined with the current situation of my country's contemporary intelligent transportation, analysis of the existing problems and shortcomings, on this basis, combined with artificial intelligence technology to research and analyze the risk management in the construction of intelligent transportation platform. This research systematically expounds the risk construction principles, model construction and risk response measures of the intelligent transportation platform. This paper uses field surveys, interviews and other research methods to research and investigate traffic risk management in a certain place. The experimental research shows that risk management in the construction of intelligent transportation platforms based on artificial intelligence has higher feasibility than traditional traffic management.

scholarly journals Intelligent Agricultural Automatic Control System Based on Internet of Things

2021 ◽  
Vol 2143 (1) ◽  
pp. 012009
Author(s):  
Yongtang Wu
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Automatic Control ◽  
Field Investigation ◽  
Advanced Technology ◽  
Current Status ◽  
Temperature Control System ◽  
The Internet ◽  
The Core ◽  
Core Technology

Abstract The advanced technology of the Internet and extensive agricultural transformation and upgrading have made the overall agricultural industry chain and modern agriculture better. In view of the high cost and suffering of traditional agricultural planting management, the Internet of Things (I O T) is applied to agriculture to realize real-time detection and intelligent management of crop growth conditions, remote control, and change the traditional agricultural equipment planting mode. The purpose of this article is to design and research the I O T automatic control (A C) system for smart agriculture. This article first introduces the core technology of the I O T through an overview of the basic theories of the I O T. Combined with the current status of agricultural automation in my country, the existing problems and deficiencies are analyzed. On this basis, use the core technology of the I O T to supplement and improve it. This article systematically expounds the overall scheme design, module function design and A C algorithm realization of the I O T brake control system. And use field investigation method, comparative analysis method and other research forms to carry out research on the theme of this article. Experimental research shows that the sampling data of the greenhouse is selected as the sample, the appropriate initial membership function is selected, and the fuzzy control rules obtained through the training of the fuzzy neural network algorithm are relatively correct. The output result of the automatic temperature control system is mostly consistent with the actual data on site. Overall, the temperature A C system designed in this subject can meet the A C requirements of agriculture.

Organizational Data Mining (ODM)

2011 ◽  
pp. 1-8
Author(s):  
Hamid R. Nemati ◽  
Christopher D. Barko
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Decision Making ◽  
Information Technology ◽  
Competitive Advantage ◽  
Current Status ◽  
Decision Making Process ◽  
Actionable Knowledge ◽  
The Core ◽  
Mining Tools

An increasing number of organizations are struggling to overcome “information paralysis” — there is so much data available that it is difficult to understand what is and is not relevant. In addition, managerial intuition and instinct are more prevalent than hard facts in driving organizational decisions. Organizational Data Mining (ODM) is defined as leveraging data mining tools and technologies to enhance the decision-making process by transforming data into valuable and actionable knowledge to gain a competitive advantage (Nemati & Barko, 2001). The fundamentals of ODM can be categorized into three fields: Artificial Intelligence (AI), Information Technology (IT), and Organizational Theory (OT), with OT being the core differentiator between ODM and data mining. We take a brief look at the current status of ODM research and how a sample of organizations is benefiting. Next we examine the evolution of ODM and conclude our chapter by contemplating its challenging yet opportunistic future.

scholarly journals Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3532 ◽  
Author(s):  
Ryuji Hamamoto ◽  
Kruthi Suvarna ◽  
Masayoshi Yamada ◽  
Kazuma Kobayashi ◽  
Norio Shinkai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Precision Medicine ◽  
Medical Devices ◽  
The United States ◽  
Medical Data ◽  
Clinical Implementation ◽  
Medical Field ◽  
Core Technology ◽  
Artificial Intelligence Technology ◽  
History Of

In recent years, advances in artificial intelligence (AI) technology have led to the rapid clinical implementation of devices with AI technology in the medical field. More than 60 AI-equipped medical devices have already been approved by the Food and Drug Administration (FDA) in the United States, and the active introduction of AI technology is considered to be an inevitable trend in the future of medicine. In the field of oncology, clinical applications of medical devices using AI technology are already underway, mainly in radiology, and AI technology is expected to be positioned as an important core technology. In particular, “precision medicine,” a medical treatment that selects the most appropriate treatment for each patient based on a vast amount of medical data such as genome information, has become a worldwide trend; AI technology is expected to be utilized in the process of extracting truly useful information from a large amount of medical data and applying it to diagnosis and treatment. In this review, we would like to introduce the history of AI technology and the current state of medical AI, especially in the oncology field, as well as discuss the possibilities and challenges of AI technology in the medical field.

Design Analysis of Electrical Control System for the Gear Teaching Simulator

2014 ◽  
Vol 602-605 ◽  
pp. 1481-1484
Author(s):  
Miao Shang ◽  
Guo Min Lin ◽  
Wen Guang Zhang ◽  
Fei Zhou
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
Performance Indicators ◽  
Design Analysis ◽  
Control System Design ◽  
Electrical Control ◽  
Operating Variables ◽  
Technical Performance ◽  
Electric Control

Through the analysis of technical performance indicators of the gear teaching simulator, main technical indexes and design goals of electric control system are proposed; Scheme of electrical control system is analyzed; Control systems, controlled variables, operating variables and detection devices are selected. For the realization of electric control system design of the gear teaching simulator, improving the performance of the gear teaching simulator, it has an important guiding significance.

Design of Boring Machine Electrical Control System Based on Omron PLC

2015 ◽  
Vol 733 ◽  
pp. 656-661
Author(s):  
Jun Lei ◽  
Min Luo ◽  
Rong Jia ◽  
Yue Min Wu
Keyword(s):  
Control System ◽  
Control Systems ◽  
Actual Situation ◽  
Deep Hole ◽  
Electric System ◽  
Electrical Control ◽  
Plc Control ◽  
Special Machine ◽  
Cylindrical Parts ◽  
Touch Screen Monitor

Deep whole boring machine is a kind of special machine for processing cylindrical parts. In this paper, considering the factory actual situation, an electrical control systems of deep hole boring machine that combine the relays, contactors and PLC control together is designed based on Omron PLC. In addition, using the touch screen monitor, reliability and flexibility of the electric system is improved.

scholarly journals Smart Technology and Industry Trends in Fourth Industrial Revolution

2019 ◽  
Vol 8 (2S6) ◽  
pp. 400-404
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Industrial Revolution ◽  
Unmanned Vehicles ◽  
Core Technology ◽  
Artificial Intelligence Technology ◽  
Technical Factors ◽  
Smart Machine ◽  
Industry Trends ◽  
Technology Trends

In this paper, we have been studying the technology trends closely approaching us and the smart machine, which is a representative example of the forth industrial revolution. The key content in technology trends is artificial intelligence. Artificial intelligence technology is being used as a core technology of the 4th industrial revolution. In autonomous vehicles, which are representative industries, artificial intelligence-based unmanned vehicles are emerging, and on the other side, and various voice recognition based products are emerging. In this paper, we have studied the latest technical factors of autonomous automobile and speech recognition based industry, which is a representative industry of the 4th industrial revolution

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