Training system for three-level Internet of Things and training method thereof

Abstract

The invention relates to a training system for a three-level Internet of Things and a training method thereof, which is particularly suitable for universities and research institutes. The training system comprises three parts, i.e. a field device training subsystem, an embedded training subsystem and a computer training subsystem, wherein the field device training subsystem comprises a mesh plate framework, at least one ZigBee module, sensor modules, relay modules and execution devices, and the ZigBee module, the sensor modules, the relay modules and the execution devices are all mounted on the mesh plate framework; the ZigBee module comprises a ZigBee route module and a ZigBee coordinator module, and an input interface and an output interface are arranged on the ZigBee route module; the embedded training subsystem comprises an embedded device and a communication connector connected with a ZigBee coordinator; and the computer training subsystem comprises a computer and a router, and the computer is connected with the embedded device via the router.

Description

technical field [0001] The training system and its training method of the present invention relate to a three-level Internet of Things training system and its training method, which are especially suitable for use by various colleges and research institutes. Background technique [0002] At present, the existing training devices based on the Internet of Things mainly include three types of training devices: experimental box type, experimental board type and experimental table type. [0003] Among them, the experimental box-type training device can include various functional experiments of common IoT applications, but has the following disadvantages: 1) lack of corresponding IoT execution equipment; 2) experimental demonstration content, equipment layout, etc. are out of touch with actual application design; 3) There is no correlation between the experiments. Although this form is conducive to the independent implementation of the teaching process, students often lack percep...

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Problems solved by technology

[0003] Among them, the experimental box-type training device can include various functional experiments of common IoT applications, but has the following disadvantages: 1) lack of corresponding IoT execution equipment; 2) experimental demonstration content, equipment layout, etc. are out of touch with actual application design; 3) There is no correlation between the experiments

Although this form is conducive to the independent implementation of the teaching process, students often lack perceptual knowledge of the Internet of Things and its control objects and control processes, resulting in insufficient learning motivation for students.

[0004] Experimental board-type training devices are cheap, but have the following disadvantages: 1) There are few resources, and only a few basic function experiments of Internet of Things applications can be carried out; 2) There is a lack of corresponding Internet of Things execution equipment; 4) There is no correlation between the experiments

However, there are the following disadvantages: 1) It still fails to break away from the nature of plug-in and demonstration training; 2) The content of the experimental demonstration, the connection between devices, etc. are out of touch with the actual application; 3) There is no correlation between various experiments

Although this form is conducive to the independent implementation of the teaching process, because students often lack perceptual knowledge of the Internet of Things and its control objects and control processes, after the completion of various training projects without a system, their minds are still in a mess. resulting in a lack of motivation for students to learn

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