Risk Control System of Construction Engineering Based on Data Mining and Artificial Intelligence Technology

Author(s):  
Wei Rao ◽  
Jian Chen
2020 ◽  
pp. 1-12
Author(s):  
Chen Guang

Artificial intelligence technology has been widely used in all aspects of our life. Similarly, the application of artificial intelligence in the field of construction engineering is a necessary trend in the development of engineering industry, especially in the traditional construction engineering department. Under the background of the times, from the perspective of knowledge, artificial intelligence technology has appeared a huge development, which may have an impact on the employment of Chinese labor force, may create new jobs, or replace traditional jobs. This effect on employment is essential. From the perspective of machine learning and artificial intelligence, this paper reviews the transformation prospects of engineering industry and the development of agricultural industry in construction industry, and examines the intellectual transformation of individual human capital in Chinese labor force.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012057
Author(s):  
Nan Li

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.


CONVERTER ◽  
2021 ◽  
pp. 16-22
Author(s):  
Ren Li, Hang Zhou

With the rapid development of society, many industries have integrated intelligent advanced technology, and electrical automation control is one of them. Electrical automation control system is a control system for the efficiency, status, quality and other aspects of electrical operation. Through the system, electrical operation can be well controlled. After the use of intelligence, the system has the ability of sub identification and decision-making. This paper first briefly analyzes the application theory of artificial intelligence, and then expounds the advantages of artificial intelligence controller. This paper studies the application of artificial intelligence technology in electrical automation control system from two aspects of the application of artificial intelligence in DC drive and AC drive, and analyzes the advantages of artificial intelligence control. Taking the application of AI Artificial Intelligence regulator in the control of an electrical appliance as an example, this paper expounds the circuit principle, implementation scheme and application effect of the system.


Author(s):  
Hou Yuzhong

Ideological and political teaching emotion is an important reflection of students’ learning achievements. At present, the effect of emotion analysis of ideological and political students is poor. This article builds on the artificial intelligence technology and combines machine learning data mining ideas to construct a student emotion analysis model in the ideological and political classroom. Starting from the individual, based on the individual’s own emotions and external stimuli, this article carries out emotion transfer probability statistics on the dialogues with emotions marked, and obtains the individual’s emotion transfer matrix. After the corresponding model is constructed, it can be applied to practice, and the research is conducted from the aspects of systematic emotion analysis effect and teaching promotion effect. In addition, this study designs a controlled experiment to analyze the effects of the model. The research results show that the model constructed in this paper has good performance.


2019 ◽  
Vol 8 (2) ◽  
pp. 28
Author(s):  
Guokun Xie

<p>In order to further improve the overall efficiency of teaching in universities and colleges in China,we specially developed the intelligent teaching control system. This paper makes a comprehensive analysis of the genetic algorithm in artificial intelligence technology, and analyzes the system design criteria, system application and database. It is of great significance to promote the teaching tasks of teachers and related staff.</p>


2020 ◽  
pp. 1-12
Author(s):  
Huang Xiaoyang ◽  
Zhao Junzhi ◽  
Fu Jingyuan ◽  
Zhang Xiuxia

Relying on the reform of the learning field curriculum system of ideological and political education courses in colleges and universities, the association rules between data mining and artificial intelligence technology are used to mine the association relationship between the software professional courses of the computer department, and the ideas and methods of optimizing the course setting are proposed. Discuss the reference value of the whole environment, multi-dimensional space-time, inter-subjectivity theory to the model construction from the theoretical level and the guiding significance of the Internet governance thought to the reform of ideological and political education in universities and colleges The survey results analyze the problems existing in the reform and construction of ideological and political education in colleges and universities, and propose improvements and optimization measures and the four systems of “systematic design outlined in the outline, teamwork coordination of team building, network expansion of environmental construction, and dual promotion of quality assurance". The countermeasures to improve the effectiveness of the ideological and political education in universities, experience summarization, theoretical analysis and empirical research, the idea of constructing a “three-stage full environment” network ideological and political education model for colleges and universities is proposed. Through in-depth understanding and analysis of the relevant knowledge of data mining artificial intelligence technology, the relevant methods of data mining artificial intelligence technology are used to solve the timeliness problems of ideological and political education reform in colleges and universities, so that relevant managers can timely learn relevant information in complex issues to provide solutions for further decision-making.


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