Since organic rice storage silos were faced with an insect problem, an owner solved this problem using the expert system (ES) in the controlled atmosphere process (CAP) under the required standard, fumigating insects with an N2, reducing O2 concentration to less than 2% for 21 days. This article presents the computational fluid dynamics (CFD) assisted ES successfully solved this problem. First, CFD was employed to determine the gas flow pattern, O2 concentration, proper operating conditions, and a correction factor (K) of silos. As expected, CFD results were consistent with the experimental results and theory, assuring the CFD’s credibility. Significantly, CFD results revealed that the ES controlled N2 distribution throughout the silos and effectively reduced O2 concentration to meet the requirement. Next, the ES was developed based on the inference engine assisted by CFD results and the sweep-through purging principle, and it was implemented in the CAP. Last, the experiments evaluated CAP’s efficacy in controlling O2 concentration and insect extermination in the actual silos. The experimental results and owner’s feedback confirmed the excellent efficacy of ES implementation; therefore, the CAP is effective and practical. The novel aspect of this research is a CFD methodology to create the inference engine and the ES.
การเก็บรักษาข้าวใน ไซโลเก็บข้าวอินทรีย์ เป็นแนวทางสำคัญในการรักษาคุณภาพข้าวและลดการสูญเสียหลังการเก็บเกี่ยว อย่างไรก็ตาม ปัญหาการปนเปื้อนของแมลงศัตรูข้าว เป็นอุปสรรคสำคัญที่ส่งผลกระทบต่อคุณภาพและความปลอดภัยของข้าว โดยทั่วไป การกำจัดแมลงในไซโลมักใช้สารรมยาเคมี เช่น ฟอสฟีน (PH₃) หรือ เมทิลโบรไมด์ (CH₃Br) ซึ่งอาจก่อให้เกิดสารตกค้าง ส่งผลต่อสุขภาพผู้บริโภค และสร้างผลกระทบต่อสิ่งแวดล้อม
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
The " Center of Invention for Future and Sustainability Project (Continuing)" serves as a continuation of a pilot initiative focused on the retrofitting of older buildings (Vach. 7), specifically a five-story structure. The primary aim of this project is to develop methodologies for enhancing the sustainability of existing buildings in order to mitigate carbon dioxide emissions. In the execution of the Future and Sustainability Innovation Development Center Project (Continuing), a comprehensive analysis of relevant data and theoretical frameworks has been undertaken, leading to the formulation of a research methodology designed to identify optimal strategies for retrofitting older buildings to reduce carbon dioxide emissions. This approach is structured into three principal phases: the combustion of fuels associated with transportation, labor, and materials; the electricity consumption during the construction process; and the accumulation of greenhouse gases from both existing and new construction materials. The project employs an experimental research design, wherein empirical data is collected to evaluate and quantify the equivalent carbon dioxide emissions arising from the construction of new buildings compared to the retrofitting of the selected case study building. Subsequent analysis of the collected data revealed that retrofitting the existing structure—through the integration of sustainable design principles—resulted in greenhouse gas emissions of 11.88 kgCO2e/sq.m. In contrast, the emissions associated with new building construction amounted to 299.35 kgCO2e/sq.m., indicating a reduction in carbon dioxide emissions by a factor of approximately 26 when compared to the construction of new buildings.
คณะวิทยาศาสตร์
Developing a Smart Farming Simulation Utilizing LoRa Communication and Presenting Knowledge on LoRa Communication System Components
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
-