Line patrol trolley teaching system integrating theory and practice
By designing a teaching system for line patrol cars that integrates theory and reality, combined with modules such as situational introduction, display, and task-driven strategies, the problem of disconnection between theory and practice in traditional teaching methods is solved, and students' learning effect and comprehensive abilities are improved.
Patent Information
- Application Number
- CN202510201104.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-24
- Publication Date
- 2025-05-06
AI Technical Summary
The traditional Arduino line patrol car teaching method has the problem of disconnection between theory and practice, which makes it difficult for students to apply the knowledge they have learned to actual projects and cannot meet the society's demand for Internet of Things technical talents.
Design a teaching system for line patrol trolleys that integrates theory and reality, and closely combine theoretical teaching with practical operations through modules such as situational introduction, display, task-driven strategy, case analysis, grouping practice and summary feedback.
It improves students' learning interest and learning effectiveness, and cultivates students' comprehensive abilities, including independent learning ability, team collaboration ability and problem-solving ability.
Smart Images
Figure CN119942865A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of optimized teaching technology, and in particular to a line patrol car teaching system integrating theory and practice. Background Art
[0002] With the rapid development of science and technology, the application of Internet of Things technology is becoming more and more extensive in various industries, such as intelligent transportation, smart home, industrial automation, etc. Arduino, as an open source electronic prototype platform, has become an important tool for learning and practicing Internet of Things technology due to its ease of use, flexibility and low cost. As a typical case of Arduino application, the line patrol car project involves hardware construction, sensor application, programming control and problem solving, which can effectively cultivate students' practical skills, logical thinking ability and innovation ability.
[0003] However, traditional teaching methods often have the problem of disconnection between theory and practice when teaching Arduino patrol car related knowledge and skills. During the learning process, students may have difficulty understanding abstract theoretical knowledge, and lack systematic guidance and in-depth thinking in practical operations, resulting in poor teaching results. It is difficult for students to apply what they have learned to actual projects, and it is impossible to meet the society's demand for Internet of Things technical talents. Therefore, there is an urgent need for a patrol car teaching system that integrates theory and practice, closely combines theoretical teaching with practical operations, improves students' learning interest and learning effects, and cultivates students' comprehensive abilities. Summary of the invention
[0004] 1. Technical issues to be solved
[0005] In view of the deficiencies in the prior art, the present invention provides a line patrol car teaching system that integrates theory and practice, which closely combines theoretical teaching with practical operation, improves students' learning interest and learning effect, and cultivates students' comprehensive ability.
[0006] (II) Technical solution
[0007] In order to achieve the above object, the present invention adopts the following technical solutions:
[0008] A line patrol car teaching system integrating theory and practice comprises a system module assembly, wherein the system module assembly comprises a scenario introduction module, a display module, a task-driven strategy module, a case analysis module, a group practice module and a summary feedback module. The scenario introduction module introduces a line patrol car project with the background of intelligent networked vehicles and intelligent factory Internet of Things application scenarios. The display module displays videos, pictures or actual cases. The task-driven strategy module decomposes the line patrol car project into multiple specific tasks, and each task has clear goals and requirements. The case analysis module selects typical line patrol car cases, including successful cases and cases with problems, and conducts detailed analysis and explanation. The group practice module groups students according to their actual situation and clarifies the division of labor and responsibilities of group members. The summary feedback module organizes students to summarize and give feedback after each task stage, and students share their gains, problems encountered and solutions in the process of completing the task.
[0009] Furthermore, the system module assembly also includes an algorithm learning module, which includes the car's straight-line driving logic, turning judgment conditions and control methods.
[0010] On the basis of the above-mentioned solution, the system module assembly includes a recording module, which records the actual problems encountered by the trolley during line patrol.
[0011] As a further solution of the present invention, the system module assembly includes a data processing module, and the data processing module includes a screening module. The screening module screens and filters the data to remove invalid data.
[0012] Furthermore, the data processing module includes a line patrol optimization module, which analyzes and optimizes the speed and efficiency of the line patrol of the trolley.
[0013] On the basis of the above-mentioned scheme, the system module assembly includes a guiding module, which guides students to transfer and expand knowledge to achieve functional innovation of the line patrol car.
[0014] Furthermore, the system module assembly includes a guiding module, which guides students to transfer and expand knowledge to achieve functional innovation of the line patrol car.
[0015] The beneficial effects of the present invention are:
[0016] 1. In this invention, with the application scenarios of intelligent connected vehicles and smart factory Internet of Things as the background, the line patrol car project is introduced to let students understand the application value of the line patrol car in actual production and life, stimulate students' learning interest and motivation, select typical line patrol car cases, including successful cases and cases with problems, and conduct detailed analysis and explanation, guide students to think and discuss from the aspects of hardware design, software programming, algorithm optimization, etc., summarize experiences and lessons, and deepen students' understanding and mastery of knowledge.
[0017] 2. In the present invention, videos, pictures or actual cases are displayed to guide students to think about the principles and technologies of the automatic operation of the line patrol car, laying the foundation for the development of subsequent teaching content. The group practice module is grouped according to the actual situation of the students, and the division of labor and responsibilities of the group members are clarified. In the process of practice, group members are encouraged to cooperate with each other and discuss together to cultivate students' teamwork and communication skills.
[0018] 3. In the present invention, the line patrol car project is decomposed into multiple specific tasks, each task has clear goals and requirements. In the process of completing the tasks, students actively explore and learn relevant knowledge and skills, cultivate students' independent learning ability and problem-solving ability. After each task stage, students are organized to summarize and give feedback, allowing students to share their gains, problems encountered and solutions in the process of completing the tasks. Teachers evaluate and guide students' performance, correct students' mistakes and deficiencies in a timely manner, and help students improve their learning effects. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 This is a schematic diagram of the system framework structure of Example 1 of a line patrol car teaching system that integrates theory and practice proposed by the present invention.
[0020] Figure 2 This is a schematic diagram of the system framework structure of Example 2 of a line patrol car teaching system that integrates theory and practice proposed by the present invention. DETAILED DESCRIPTION
[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. It should be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "setting" should be understood in a broad sense. For ordinary technicians in this field, the specific meanings of the above terms in this patent can be understood according to specific circumstances.
[0022] Example 1
[0023] Reference Figure 1, a line patrol car teaching system that integrates theory and practice, including a system module assembly, which includes a scenario introduction module, a display module, a task-driven strategy module, a case analysis module, a group practice module and a summary feedback module. The scenario introduction module takes the application scenarios of intelligent connected vehicles and intelligent factory Internet of Things as the background, introduces the line patrol car project, allows students to understand the application value of the line patrol car in actual production and life, and stimulates students' learning interest and motivation. The display module displays videos, pictures or actual cases to guide students to think about the principles and technologies of the line patrol car to achieve automatic operation, laying the foundation for the development of subsequent teaching content. The task-driven strategy module decomposes the line patrol car project into multiple specific tasks, such as hardware construction, sensor debugging, line patrol algorithm design, system optimization, etc. Each task has clear goals and requirements. In the process of completing the task, students actively explore and learn relevant knowledge and skills, cultivate students' independent learning ability and problem-solving ability The case analysis module selects typical line patrol car cases, including successful cases and cases with problems, and conducts detailed analysis and explanation to guide students to think and discuss from aspects such as hardware design, software programming, and algorithm optimization, summarize experiences and lessons, and deepen students' understanding and mastery of knowledge. The group practice module is reasonably grouped according to the actual situation of the students, with 3 people in each group, and the division of labor and responsibilities of group members are clarified. For example, hardware engineers are responsible for hardware construction, software engineers are responsible for programming and debugging, and test engineers are responsible for system testing. In the process of practice, group members are encouraged to cooperate and discuss with each other to cultivate students' teamwork and communication skills. After each task stage, the summary and feedback module organizes students to summarize and give feedback, allowing students to share their gains, problems encountered, and solutions in the process of completing the task. Teachers evaluate and guide students' performance, correct students' mistakes and deficiencies in a timely manner, and help students improve their learning effects.
[0024] Example 2
[0025] Reference Figure 2, a line patrol car teaching system that integrates theory and practice, including a system module assembly, which includes a scenario introduction module, a display module, a task-driven strategy module, a case analysis module, a group practice module and a summary feedback module. The scenario introduction module takes the application scenarios of intelligent connected vehicles and intelligent factory Internet of Things as the background, introduces the line patrol car project, allows students to understand the application value of the line patrol car in actual production and life, and stimulates students' learning interest and motivation. The display module displays videos, pictures or actual cases to guide students to think about the principles and technologies of the line patrol car to achieve automatic operation, laying the foundation for the development of subsequent teaching content. The task-driven strategy module decomposes the line patrol car project into multiple specific tasks, such as hardware construction, sensor debugging, line patrol algorithm design, system optimization, etc. Each task has clear goals and requirements. In the process of completing the task, students actively explore and learn relevant knowledge and skills, cultivate students' independent learning ability and problem-solving ability The case analysis module selects typical line patrol car cases, including successful cases and cases with problems, and conducts detailed analysis and explanation to guide students to think and discuss from aspects such as hardware design, software programming, and algorithm optimization, summarize experiences and lessons, and deepen students' understanding and mastery of knowledge. The group practice module is reasonably grouped according to the actual situation of the students, with 5 people in each group, and the division of labor and responsibilities of group members are clarified. For example, hardware engineers are responsible for hardware construction, software engineers are responsible for programming and debugging, and test engineers are responsible for system testing. In the process of practice, group members are encouraged to cooperate and discuss with each other to cultivate students' teamwork and communication skills. After each task stage, the summary and feedback module organizes students to summarize and give feedback, allowing students to share their gains, problems encountered, and solutions in the process of completing the task. Teachers evaluate and guide students' performance, correct students' mistakes and deficiencies in a timely manner, and help students improve their learning effects.
[0026] In the present invention, the system module assembly also includes an algorithm learning module, which includes the straight-line driving logic, turning judgment conditions and control methods of the trolley. The system module assembly includes a recording module, which records actual problems encountered by the trolley during line patrol, including sensor misjudgment, unstable motor drive, and trolley shaking caused by uneven road surface. The system module assembly includes a data processing module, which includes a screening module, which screens and filters the data to remove invalid data.
[0027] In particular, the data processing module includes a line patrol optimization module, which analyzes and optimizes the speed and efficiency of the car's line patrol to avoid excessive swinging or deviation from the track when turning. The system module assembly includes a guidance module, which guides students to transfer and expand knowledge and realize functional innovation of the line patrol car, such as linkage with other Internet of Things devices, autonomous obstacle avoidance and intelligent decision-making. The system module assembly includes a storage module, and the data processing module is connected to the storage module.
[0028] Example 3
[0029] 1. Scenario introduction
[0030] Dear students, today we will discuss a very interesting project - car patrol. As we all know, with the development of science and technology, intelligent networked cars are gradually entering our lives. According to the "Notice on the Pilot Work of Intelligent Networked Vehicle Access and Road Traffic", the future cars will not only be transportation tools, but also have functions such as automatic driving and intelligent interconnection. The car patrol we are going to do today is a small microcosm of automatic driving.
[0031] 2. Task introduction
[0032] 2.1 Introduction of tasks
[0033] Today, our task is to make the car drive along the predetermined route. This route can be in various forms such as rectangle, figure eight, etc. In order to achieve this goal, we need to understand and master some basic knowledge and skills.
[0034] 2.2 Task Analysis
[0035] Our car needs to drive along the black line, and in the process it needs to go straight, turn left, turn right, etc. We will achieve this goal through programming.
[0036] 3. Task Implementation
[0037] 3.1 Learning tasks
[0038] Two learning tasks were issued before the class. Each group conducted experiments and submitted the result videos to the online teaching platform. After that, each group evaluated each other. In class, for each learning task, the group leader who received the highest evaluation was invited to explain.
[0039]
Guide 1
[0040] What is the purpose of the encapsulation function myMax.forward(value1,value2), assuming: value1=value2.
[0041]
Conclusion 1
[0042] When value1=value2, the function myMax.forward() makes the car go straight.
[0043]
Guide 2
[0044] What will be the experimental effect when the values on both sides of myMax.forward(value1,value2) are different? What if myMax.forward(80,20) and myMax.forward(60,40)?
[0045] Conclusion 2
[0046] If the values on both sides are different, the car will turn. Value1 on the left represents the voltage of the left wheel, and value2 on the right represents the voltage of the right wheel. The car will turn in the direction where the voltage is smaller.
[0047] 3.2 Infrared line patrol sensor
[0048] The car detects the position of the black line based on the infrared line patrol sensor. Through the myMax.lineValue() function, we can read the data of these three sensors. If a black line is detected, the sensor returns the number 1, otherwise it returns the number 0.
[0049] 3.3 Go straight
[0050] When the middle sensor detects a black line or all three sensors detect a black line, the car goes straight. The code is as follows:
[0051] if((L==0&&M==1&&R==0)||(L==1&&M==1&&R==1))
[0052] myMax.forward(80,80);
[0053] 3.4 Turn left / right
[0054] Turn left: When the left patrol sensor or the middle and left patrol sensors are on the black line, turn left. The code is as follows:
[0055] if((L==1&&M==0&&R==0)||(L==1&&M==1&&R==0))
[0056] myMax.forward(20,90);
[0057] Turn right: When the line patrol sensor on the right or the line patrol sensors in the middle and on the right are on the black line, turn right. The code is as follows:
[0058] if((L==0&&M==0&&R==1)||(L==0&&M==1&&R==1))
[0059] myMax.forward(90,20);
[0060] 3.5 Practical operation
[0061] Based on the above explanations, each group wrote and debugged the car to complete the line patrol task.
[0062] 4. Problem Solving
[0063] Inspecting the experimental progress of each group, I found that each group faced a common problem: the car swayed left and right after turning, affecting its ability to drive stably in a straight line.
[0064]
Problem introduction
[0065] When patrolling the line, have you ever encountered the problem of the car shaking left and right when going straight? Why is this?
[0066]
Question discussion
[0067] Students discuss and try to find solutions.
[0068]
Problem Solved
[0069] The reason why the car sways left and right when driving straight is that its posture is not correct after turning. We can solve this problem by adjusting the voltage difference between turning left and right.
[0070] Therefore, we should pursue the ultimate precision and perfection, bearing in mind that even the slightest deviation may have a significant impact on the final result. Adhering to the belief of "not being satisfied with even the slightest deviation, hammering a thousand times to make a perfect piece", we should be like a craftsman, hammering a thousand times, not allowing the slightest deviation, and strive to make every attempt closer to the ideal finished product.
[0071] (V) Teaching Summary
[0072] Contextualized learning: Integrate theoretical knowledge into practical scenarios, allowing students to learn by solving practical problems and enhance learning outcomes.
[0073] Interactive teaching: Through group cooperation, promote communication and mutual assistance among students, and improve teamwork ability.
[0074] Problem-oriented: driven by solving practical problems such as the car's head swinging, it stimulates students' spirit of inquiry and cultivates their problem-solving ability.
[0075] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
Claims
1. A line patrol car teaching system integrating theory and practice, including a system module assembly, characterized in that: The system module assembly includes a scenario introduction module, a display module, a task-driven strategy module, a case analysis module, a group practice module and a summary feedback module. The scenario introduction module introduces the line patrol car project with the application scenarios of intelligent connected vehicles and intelligent factory Internet of Things as the background. The display module displays videos, pictures or actual cases. The task-driven strategy module decomposes the line patrol car project into multiple specific tasks, and each task has clear goals and requirements. The case analysis module selects typical line patrol car cases, including successful cases and cases with problems, and conducts detailed analysis and explanation. The group practice module groups students according to their actual situation and clarifies the division of labor and responsibilities of team members. The summary feedback module organizes students to summarize and give feedback after each task stage, and students share their gains, problems encountered and solutions in the process of completing the task.
2. According to the teaching system of the line patrol car integrating theory and practice described in claim 1, it is characterized in that: The system module assembly also includes an algorithm learning module, which includes the car's straight-line driving logic, turning judgment conditions and control methods.
3. According to the teaching system of the line patrol car integrating theory and practice described in claim 1, it is characterized in that: The system module assembly includes a recording module, which records actual problems encountered by the trolley during line patrol.
4. According to the teaching system of the line patrol car integrating theory and practice described in claim 1, it is characterized in that: The system module assembly includes a data processing module, and the data processing module includes a screening module. The screening module screens and filters the data to remove invalid data.
5. According to the teaching system of the line patrol car integrating theory and practice as described in claim 4, it is characterized in that: The data processing module includes a line patrol optimization module, which analyzes and optimizes the speed and efficiency of the car's line patrol.
6. According to the teaching system of the line patrol car integrating theory and practice as described in claim 1, it is characterized in that: The system module assembly includes a guiding module, which guides students to transfer and expand knowledge to achieve functional innovation of the line patrol car.
7. According to claim 5, the teaching system of line patrol car integrating theory and practice is characterized in that: The system module assembly includes a storage module, and the data processing module is connected to the storage module.