Abstract
Data Acquisition and Interface Technology is a compulsory course for the major of measurement and control technology and instrument in Southwest Petroleum University, and it is a basic course combining theory and practice closely. The traditional experiment teaching is limited by various conditions. Students can only complete the specific experiment content with limited experiment equipment in limited time and place. It is an effective way to solve the above problems by introducing virtual simulation technology to construct the remote measure and control experiment platform to carry on the reform of the traditional experiment teaching mode. The remote measurement and control platform uses virtual technology to form the test function into a software module with image-realistic panel controls, to complete the test and processing tasks as if doing experiments in the laboratory, to move the experiment teaching into the classroom, to move into the network and life, and to realize the perfect fusion of theory and practice. It has been proved that the application of the remote measurement and control platform in the experimental teaching of the course of Data Acquisition and Interface Technology can improve the teaching effect. Moreover, the cost is low and the efficiency is high, so that students cannot be limited by time and space, improve their self-learning ability and practical innovation ability, which is of great significance in the teaching of the course of measurement and control technology.
Highlights
The experiment course is based on the theory teaching, and it is the practical teaching link that serves the course, it has the effect of finishing the theory course
In the traditional teaching mode of measurement and control technology class, the theory class is separated from the experiment class, which leads to the skills training cannot be timely theoretical guidance, and the theory class is not combined with production, life reality, so that students do not master the skills in place
The following is a brief introduction to the application of the remote measurement and control platform in the experimental teaching of data acquisition and interface technology: 1) Before the experiment In the project introduction link, the teacher needs to construct the experimental situation, carefully prepare each experiment, let the students preview in advance, basic understanding of the experimental content, the problems that may be encountered in the experiment are given in an appropriate form
Summary
The experiment course is based on the theory teaching, and it is the practical teaching link that serves the course, it has the effect of finishing the theory course. In the traditional teaching mode of measurement and control technology class, the theory class is separated from the experiment class, which leads to the skills training cannot be timely theoretical guidance, and the theory class is not combined with production, life reality, so that students do not master the skills in place. The above problems expose the drawbacks of the experiment in the course of measurement and control technology, that is, the current experimental environment is difficult to meet the needs of teaching, and urgently needs to be improved. Under the condition that the existing experimental teaching resources are insufficient and the equipment is updated slowly, we can solve the above problems by establishing the remote measurement and control experiment platform and introducing it into the experiment teaching (Wang & Yao, 2005; Zhong, 2005). With the rapid development of science and technology and the urgent need of the country for high quality talents, the introduction of the remote measurement and control platform to assist the experimental teaching of the major courses of measurement and control, bringing new changes to the experimental teaching mode, is the inevitable trend of the future teaching development, and the popularization of the remote measurement and control platform will exert far-reaching influence on the development of each science teaching field (Luo & Zhang, 2016; Ma & Chen, 2016)
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