This research presents a Digital Twin of an Aquarium for Water Quality Monitoring, developing a virtual model that displays real-time key water parameters, including pH level, temperature, flow rate, and dissolved oxygen. Sensor data is processed and visualized through a Graphical User Interface (GUI) to reflect the real-time status of the virtual aquarium. This system enables accurate water quality monitoring and analysis while reducing reliance on expensive software solutions.
มีเป้าหมายในการสร้าง Digital Twin ของตู้ปลา เพื่อใช้เป็นกรณีศึกษาในการตรวจสอบคุณภาพน้ำ โดยนำเซ็นเซอร์ตรวจวัด ค่าความเป็นกรด-ด่าง (pH), อุณหภูมิ, อัตราการไหลของน้ำ และออกซิเจนละลายน้ำ มาประมวลผลและแสดงผลผ่านอินเทอร์เฟซกราฟิกแบบเรียลไทม์ ระบบนี้สามารถใช้เป็นสื่อการสอนด้าน คอมพิวเตอร์ช่วยงานเทคโนโลยีการผลิต โดยไม่ต้องพึ่งพาซอฟต์แวร์ราคาแพง ซึ่งช่วยลดต้นทุนและเพิ่มโอกาสในการศึกษา Digital Twin อย่างมีประสิทธิภาพ
คณะวิศวกรรมศาสตร์
This cooperative education project aims to enhance the efficiency of Hydrogen Manufacturing Unit 2 (HMU-2) and Pressure Swing Adsorption 3 (PSA-3) by using AVEVA Pro/II process modeling and a Machine Learning model for process simulation. The study found that the AVEVA Pro/II model predicted outcomes with deviations ranging from 0–35%, including a hydrogen flow rate deviation from the PSA unit of 12%, exceeding the company’s acceptable limit of 10%. To address this, a Machine Learning model based on the Random Forest algorithm was developed with hyperparameter tuning. The Machine Learning model demonstrated high accuracy, achieving Mean Squared Errors (MSE) of 8.48 and 0.18 for process and laboratory data, respectively, and R-squared values of 0.98 and 0.88 for the same datasets. It outperformed the AVEVA Pro/II model in predicting all variables and reduced the hydrogen flow rate deviation to 4.75% and 1.35% for production rates of 180 and 220 tons per day, respectively. Optimization using the model provided recommendations for process adjustments, increasing hydrogen production by 7.8 tons per day and generating an additional annual profit of 850,966.23 Baht.
คณะศิลปศาสตร์
"Niyom Thai" represents health-centric footwear adorned with traditional Thai patterns, embodying an innovative approach to sustainable development tailored to the current needs of local communities. These shoes utilize natural materials to mitigate fatigue and integrate safety technologies, including location tracking via a mobile application and heart rate monitoring. This addresses the aspects of convenience and well-being in both daily life and travel
คณะวิศวกรรมศาสตร์
SecurionSphere is the penetration testing learning platform that focuses on web application exploitation. This platform is intended to address concerns seen in existing penetration testing platforms, such as resource sharing that may affect other users and the constant environment configuration the permits the same response leading to copy the answer from others. Supervisors can use templates to address various forms of web application vulnerability threats. Users can generate the instance of supervisor's templates machine. The platform also randomly generates the environment configuration for each machine has the difference environment and the answer. This allows the users get more realistic learning experiences without affecting the resources of others.