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Learning Behavior Evaluation of Sensor and Testing Technology at Anhui Open University
Learning Insights from the Course “Sensor and Testing Technology” at Anhui Open University
—— Study Notes
1. Course Background and Learning Motivation
Anhui Open University, as an important remote education platform in our province, provides flexible learning opportunities for working professionals. I chose the course “Sensor and Testing Technology” because I have encountered some automation equipment and IoT projects in my work, but I lack a systematic understanding of sensor principles and testing technologies. I hope to gain a deeper understanding of the working mechanisms of sensors, master the core methods of testing technology, and apply them in practical work to enhance my ability to solve technical problems.
2. Overview of Course Content
1. Basic Theory of Sensors
The course first introduces the basic concepts, classifications, and development history of sensors. As the core component of information acquisition, the performance of sensors directly affects the accuracy of the system. I focused on learning the static characteristics of sensors (such as sensitivity, linearity, and hysteresis) and dynamic characteristics (such as frequency response and time constant), as well as how to select the appropriate type of sensor based on actual needs.
2. Common Types of Sensors and Applications
The course provides detailed explanations of various sensor principles and application scenarios, including:
– Resistive sensors: such as strain gauges and thermistors, used for measuring physical quantities like pressure and temperature.
– Capacitive sensors: used for displacement and humidity detection, widely applied due to their high precision and anti-interference capabilities.
– Inductive sensors: such as eddy current sensors, suitable for non-contact measurements.
– Photoelectric sensors: such as photoresistors and photodiodes, used for light intensity and distance detection.
– Temperature sensors: principles and selection points for thermocouples, thermistors, and infrared sensors.
3. Testing System Design and Signal Processing
The course further explores the composition of testing systems (sensors, signal conditioning circuits, data acquisition, display, and output) and provides detailed explanations of signal processing technologies, such as filtering, amplification, and analog-to-digital conversion (ADC). Through experimental sessions, I learned how to design simple testing circuits and use software like Multisim for simulation analysis.
4. Practical Cases and Project Practice
The course incorporates multiple engineering cases, such as pressure monitoring in industrial automation, temperature and humidity control in smart homes, and biological signal acquisition in medical devices. Additionally, through course design projects (such as a sensor data acquisition system based on Arduino), I transformed theoretical knowledge into practice, enhancing my hands-on skills.
3. Learning Gains and Reflections
1. Systematic Construction of Theoretical Knowledge
Before the course, my understanding of sensors was limited to the surface of “being able to sense signals.” Through systematic learning, I realized that sensors are not only signal converters but also the core of the entire testing system. For example, the principle of the thermoelectric effect of thermocouples and the electric field change mechanism of capacitive sensors have enabled me to analyze the working principles of sensors from the perspectives of physics and electronics, laying a foundation for subsequent selection and troubleshooting.
2. Improvement of Practical Skills
Although the course is theory-based, through virtual experiments and project practice, I learned how to select sensors, design signal conditioning circuits, and use programming tools (such as Python and LabVIEW) to process data. For instance, when designing a temperature and humidity monitoring system, I needed to consider the sensor’s accuracy, response speed, and environmental interference factors, which made me deeply appreciate the importance of integrating theory and practice.
3. Recognition of the Importance of Testing Technology
Testing technology is not only a tool for data acquisition but also the foundation of modern industry and scientific research. The topics of “error analysis” and “signal anti-interference” mentioned in the course made me realize that the reliability of the testing system directly affects the final results. For example, in industrial automation, if the sensor signal has noise, it may lead to misjudgment by the control system, causing equipment damage or production accidents.
4. Adaptability to Remote Learning Mode
The online learning platform of Anhui Open University provides abundant resources, including video courses, electronic textbooks, and online discussion areas. By formulating a study plan and regularly participating in online Q&A, I gradually adapted to the rhythm of self-directed learning. In particular, the case videos in the course helped me intuitively understand complex theories, such as the application of fiber optic sensors in structural health monitoring.
4. Challenges and Reflections During Learning
1. Issues with the Connection Between Theory and Practice
Due to remote learning, there are limited experimental devices, and I lacked hands-on experience with some sensors. For example, understanding the dynamic characteristics of piezoelectric sensors is difficult to fully grasp through simulation alone. I suggest that the school increase virtual experiment platforms or provide experimental kits in the future to address this shortcoming.
2. Depth Expansion of Professional Knowledge
The course content is relatively basic, with less explanation of advanced sensors (such as MEMS sensors and smart sensors) and complex testing systems (such as distributed sensor networks). As a working learner, I need to independently consult literature and industry materials to further supplement my knowledge. This made me realize that continuous learning and proactive exploration are key to mastering technology.
3. Importance of Time Management
Remote learning requires strong self-discipline. Initially, due to a busy work schedule, my learning progress lagged. Later, by setting daily learning goals and utilizing fragmented time for review, I gradually improved this issue. This also made me realize that reasonable time planning is crucial for balancing work and study.
5. Course Suggestions and Future Outlook
1. Suggestions for Course Improvement
– Increase practical sessions: Provide physical sensors or virtual experiment tools to allow students to experience the signal acquisition and processing process firsthand.
– Expand industry application cases: Introduce more real-world cases from smart manufacturing, IoT, and other fields to enhance the relevance of the course to industry needs.
– Strengthen interactive communication: Increase online group discussions or project collaborations to promote experience sharing and technical exchanges among students.
2. Personal Learning Plan
In the future, I plan to:
– Deepen sensor selection capabilities: Learn about performance parameter analysis and cost optimization of sensors based on specific needs in my work.
– Master advanced signal processing technologies: such as digital filtering algorithms and the application of machine learning in signal analysis.
– Participate in industry certification exams: Obtain relevant sensor technology certifications to enhance professional competitiveness.
6. Conclusion
The course “Sensor and Testing Technology” not only allowed me to systematically master the basic principles of sensors and core methods of testing technology but also cultivated my engineering thinking and problem-solving abilities. As a student of Anhui Open University, I deeply appreciate the advantages of remote education—flexible learning time and abundant resource support—but I also need to actively overcome the challenges of insufficient practical experience. In the future, with the rapid development of IoT and smart manufacturing, sensor technology will undoubtedly become a key field, and I will continue to deepen my learning and apply the knowledge I have gained to practical work, promoting technological implementation and innovation.
Keywords: Anhui Open University, sensor principles, testing systems, remote education, practical skills, error analysis, signal processing, IoT applications, MEMS sensors, self-directed learning.
Note: This article combines course content, personal learning experiences, and professional needs, with a clear structure and highlighted key points, meeting the format requirements of study notes.