The Internet of Things major is committed to cultivating high-quality technical and skilled talents who can meet the needs of all aspects of the Internet of Things industry chain, especially for Internet of Things application enterprises in the commercial field. Our educational goals cover a wide range of roles from IoT solution providers** to equipment providers, ensuring that students are equipped with core knowledge and skills in business intelligence development, wireless sensing technology, data acquisition, engineering design and implementation, and host computer system development.
Graduates will be able to take up positions such as IoT intelligent system integration engineer, platform operation and maintenance engineer, technical support engineer, product marketing supervisor and smart business application development engineer, engaged in smart business planning, IoT system integration, technology and product development and promotion. We attach great importance to the cultivation of students' entrepreneurial innovation ability and international competitiveness, so that they can become professionals with comprehensive literacy.
In order to achieve the above-mentioned talent training goals, we have carefully designed a learning roadmap and built a curriculum system according to the grade level and compulsory elective requirements. This system ensures that students can choose the appropriate learning path according to their career plan, so as to meet the demand for differentiated talent in the IoT industry and lay a solid foundation for their future careers.
1.Basic theory teaching cloud platform
The basic theory teaching cloud platform of the Internet of Things training room is a first-class platform that integrates rich teaching resources and tools, aiming to provide comprehensive, systematic and efficient theoretical learning support for students majoring in the Internet of Things. Here is a description of the main features and functions of the platform:
Abundant teaching resources:
The platform provides a large number of teaching resources for the theory of the Internet of Things, including textbooks, lesson plans, micro-courses, courseware, training guides, etc. These resources cover all aspects of IoT technology, such as sensor technology, wireless communication technology, embedded system development, etc., to ensure that students can systematically master the core knowledge and skills of IoT technology.
Flexible Learning Mode:
The platform supports a variety of learning modes, such as self-directed learning, ** learning, mobile learning, etc. Students can study anytime and anywhere according to their learning needs and schedule, improving learning efficiency.
Intelligent Teaching Aids:
The platform uses intelligent teaching aids, such as intelligent recommendation, learning path planning, etc. These tools can recommend appropriate learning resources and paths for students based on their learning situation and interests, helping them better plan their learning journey.
Interactive Learning Experience:
The platform supports interactive functions such as discussion, assignment submission, and testing, and encourages communication and cooperation among students. At the same time, teachers can also interact with students in real time through the platform, answer students' questions, and provide personalized learning guidance.
Data drivenDynamic Assessment & Feedback:
The platform collects students' learning data and behavioral trajectories to provide them with personalized learning assessments and feedback. This helps students keep abreast of their learning and progress, adjust their learning strategies, and improve their learning outcomes.
2.Basic experimental training equipment
For the core professional courses of IoT engineering, such as microcontrollers, sensors, Zigbee wireless sensor networks, RFID, and IoT information security, experiments are an indispensable part of the teaching process. Through practical operation, students can understand theoretical knowledge more intuitively and improve their technical application ability.
In order to meet the teaching needs of these courses, the comprehensive laboratory is equipped with various types of Internet of Things engineering application training devices, multi-functional Internet of Things comprehensive training platform and Internet of Things smart home training system, providing students with a real and rich experimental environment. These devices can help students deeply understand the underlying principles and application development of Internet of Things technology, and help students deeply explore all aspects of Internet of Things technology, from hardware construction to software development, from data transmission to application layer processing, they can get full practice opportunities.
3.Innovative experimental training equipment
The training system is based on the actual Internet of Things application cases for in-depth analysis and refinement, so as to build a comprehensive experimental platform. These systems combine cutting-edge technologies such as wireless sensor networks, RFID (Radio Frequency Identification), mobile development, mobile communications, and embedded gateways into a single operating framework. This design not only allows students to comprehensively apply the scattered knowledge points they have learned in actual operation, but also effectively helps students gradually transition from a single knowledge point to a comprehensive understanding of the broad knowledge of Internet of Things technology.
4.IoT teaching aids
Weizhong Graphical Programming Tool is an innovative teaching tool based on blockly language modules. It uses graphical blocks to visually represent various hardware underlying driver libraries, and students can build executable C or Python languages by simply connecting them with graphical modules, such as variables, functions, inputs and outputs, etc. This graphical programming model not only clearly shows the logical relationship and hierarchy between the hardware, but also greatly simplifies the writing process of the underlying hardware, making programming more intuitive and easy to understand.
In addition, Weizhong also provides a visual interface design tool, which is a teaching aid designed for building IoT applications. It abandons the traditional development interface in favor of a graphical way of operation. Users can simply drag and drop and move controls and control nodes to complete the design of the entire page. This tool is especially suitable for beginners, as it greatly lowers the learning curve and makes the development of IoT applications much easier and more accessible. Even when necessary, users can write aids to further extend and refine the functionality of the application. In this way, students can easily build enterprise-grade IoT applications with basic programming knowledge without having to dig deep into complex algorithms, syntax, compilation, and debugging skills.
5.IoT cloud service convergence platform
The IoT convergence platform is a middleware system used by teachers and students to build the development of upper-layer applications of the Internet of Things, which provides rapid access to IoT sensing layer devices, API standard output, training project management, and easy cloud migration. It is very suitable for beginners and scholars of the Internet of Things, quickly connecting the perception layer with the application layer, lowering the learning threshold, and supporting mainstream mainstream high-level development languages to make enterprise-level applications.
The functional characteristics of the product are as follows:
Cross-platform
Based on the web architecture, all you need is a web browser or mobile terminal, no need to worry about which operating system to use, any PC, smartphone, tablet and other devices that can access the Internet can access the cloud platform anytime and anywhere.
(2) Device access
IoT perception layer (gateway, node, such as camera) access, At present, the platform provides a variety of access protocol types, namely TCP, MQTT, TCP transparent transmission, HTTP, etc., and the communication network can be common 3G 4G, WiFi, Ethernet port, etc.;
（3）apiOutput
Provide a unified data format standard for secondary development, which is simple and unlimited to development language, so that students can collect, analyze and monitor and control data through the unified final API interface provided by the cloud platform, and quickly develop their own IoT applications.
Project management
Students can create, start, modify, and delete their own IoT projects, and generate exclusive API interface documents based on the projects to control the hardware connection of the perception layer (gateways, nodes, such as cameras) in the project.
Soft on the cloud
It provides a complete and secure cloud data development interface, avoids the analysis of complex IoT communication protocols and cloud data conversion tasks, simplifies the development and debugging process of IoT projects, and enables students to develop IoT project applications simply and efficiently.
scenario
Internet of Things project training and curriculum design curriculum system
Whether it is secondary vocational, higher vocational or undergraduate education, the core elements of practical teaching focus on the quality and practicability of curriculum resources. Therefore, based on the basic knowledge and core technology of the Internet of Things, combined with the practical application cases of the Internet of Things industry, and following the training and teaching specifications of various colleges and universities, Weizhong has developed a series of project training and course design course resources. These resources cover the basic knowledge of the Internet of Things, so as to effectively meet the needs of various colleges and universities in the practical teaching of the Internet of Things, and provide solid support for students' practical operation and theoretical learning.
Internet of Things teaching cloud platform
The Internet of Things teaching cloud platform is an open course platform, in addition to the curriculum system of Weizhong, teachers can independently develop ** courses, support word, ppt, pdf, ** and other common courseware directly converted into ** courses, so that teachers can easily migrate professional basic courses to the platform, easy to build a complete Internet of Things, big data, cloud computing, artificial intelligence professional course system. The platform has built-in rich teaching and training resources, which perfectly integrates teaching and training, and relies on the platform to create the most cutting-edge comprehensive one-stop practice base.
(3) Internet of Things project training platform
The Internet of Things convergence cloud platform is a web application, the platform mainly serves vocational colleges and universities across the country, providing a complete Internet of Things system for vocational colleges, which is convenient for students to learn the hardware knowledge of the Internet of Things and master the software programming technology through the Internet of Things integration platform, and at the same time meet the needs of the Internet of Things skills competition.
The platform is developed based on the Linux bottom layer for teaching and skill competitions, based on the BS architecture, and developed in MVC mode; Abstract the object layer, the display layer and the control layer, there is no dependency between the organization, the loosely coupled organization is convenient for large-scale parallel development, and the whole system is upgraded, maintained and transformed in batches to provide the foundation, and the expansion ability is extremely strong. The Internet of Things integration platform integrates teaching and competition, which not only meets the needs of students to learn to use the platform and training equipment, but also improves the proficiency of the content assessed in the skills competition. Each student can freely create an Internet of Things project in the platform, control the training equipment through their own projects, and the platform supports multi-terminal operations at the same time (PCs, smart phones, tablets, etc. that can access the Internet), and the Internet of Things integration platform truly allows students to experience the application of Internet of Things technology and the career prospects of Internet of Things applications. As shown below:
(4) Practical training aids for Internet of Things projects
The graphical programming tool is based on the Blockly language module, which uses the graphics module to represent various underlying driver libraries using hardware, and connects variables, functions, input and output and other languages according to the upper and lower associations of the graphics module, and finally combines them into executable C language or Python language. The graphical programming model maps the actual relationship and hierarchical structure well, replaces the traditional writing process, and simplifies the underlying hardware writing process.
The visual interface design tool is a teaching tool to assist teachers and students in building Internet of Things applications, which uses a graphical interface to replace the development interface, and completes the design of a page by dragging and moving some controls and control nodes. It is very suitable for beginners and scholars of the Internet of Things, and it is characterized by lowering the learning threshold through low programming, and at the same time can also write some auxiliary tools when necessary to improve and expand the functions of the Internet of Things application. Students only need to have basic programming knowledge, and do not need to understand algorithms, syntax, compilation, and debugging to make enterprise-level IoT applications.
2.Peculiarity. 1) An open management teaching platform.
The Internet of Things teaching cloud platform is a general teaching management system, which has built-in practical training course resources such as Internet of Things, big data, cloud computing and artificial intelligence according to customer needs, including teaching plans, tutorials, ppt, courseware, micro-courses, training guides, supporting materials, etc. Teachers can also upload their own training programs or course resources such as word, ppt, pdf, ** to the platform, and carry out project training and teaching based on the platform.
(2) Innovative Internet of Things training device
The Internet of Things engineering application training device is a multi-functional comprehensive teaching and training platform for the Internet of Things, which includes a complete Internet of Things architecture, including: the perception layer, the network layer and the application layer of the example training equipment. Based on the innovative project practice mesh board, it provides practical component packages such as smart home, smart agriculture, smart security, and smart transportation, and each practice package can complete a complete IoT application training case. Students can use component packages, cables, connectors, and software resources to freely design various types of IoT application projects from scratch, providing students with a good environment for innovative practice, curriculum design, and graduation design.
(3) Cross-platform IoT cloud service platform
The platform provides fast access to IoT sensing layer devices: At present, the platform provides a variety of access protocol types for the IoT sensing layer (gateways, nodes, such as cameras) to access.
The platform provides API standard output: The platform provides a unified data format standard for secondary development, which is simple and unlimited to the development language, so that students can use the unified API interface provided by the cloud platform.
Practical project management: Students can create, start, modify, and delete their own IoT projects, and generate exclusive API interface documents according to the project to control the hardware connection of the perception layer (gateways, nodes, such as cameras) in the project.
Easy cloud: The platform provides a complete and secure cloud data development interface, avoids the analysis of complex IoT communication protocols and cloud data conversion tasks, simplifies the development and debugging process of IoT projects, and enables students to develop IoT project applications simply and efficiently.
1) 2020 Inner Mongolia Mechanical and Electrical Vocational and Technical College Internet of Things embedded training room.
2) The finals of the 2020 BRICS Industrial Innovation Cooperation Competition "Future Skills" track Internet of Things competition.
3) 2020 Belt and Road and BRICS Skills Development and Technology Innovation Competition Internet of Things Technology and Its Application in Smart Cities.