Simulation of Poultry House Ventilation using Computational Fluid Dynamics

( Chih-hsiang Hsu ),( Sumingchen ),( Kuang-wen Hsieh ),( Chao-yin Tsai ),( Rou-yan Peng ),( Jin-ming Tsai ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

Poultry output value in Taiwan takes a large proportion of whole livestock production. However, in 2014, it was suffered from a serious bird flu invasion in Taiwan, culling a large number of poultries. Take geese as an example, almost 90% of the geese were culled in 2014. As a result, it caused serious losses to livestock industry. In order to prevent outbreak of bird flu, the government has stipulated that poultry houses must be rebuilt as non-open poultry houses and rehabilitated. Therefore, the development of the design in closed poultry houses is important. In this study, Computational Fluid Dynamics (CFD) was used to simulate a 30 m ^* 8.5 m ^* 3.6 m closed poultry house. There are two suction fans used for longitudinal ventilation. Through the different circulation fan setups to evaluate for the growth conditions of poultry and improve the ventilation of closed poultry houses, and reduce the possibility of invasion of pathogenic sources at the same time. The results showed when a circulation fan was not placed, there was a phenomenon of non-uniform airflow distribution within 6 m near water-cooled wall. When a circulation fan was placed 3 m away from the water-cooled wall, some parts of the airflow concentrated near the fan and caused non-uniform airflow distribution within 9 m near the water-cooled wall, which may be unsuitable for poultries living. The study showed that simulation of flow field facilitates designs of non-open poultry houses.

The Incremental Cost Matrix Procedure for Locating Repair Service Centers in Multinational Reverse Logistics

Hsin Min Chen,Chih Kuang Hsieh,Ming Cheng Wu,Shin Wei Luo 대한산업공학회 2009 Industrial Engineeering & Management Systems Vol.8 No.3

This study provides a heuristic algorithm to solve the locating problem of repair service centers (RSCs). To enhance the customer service level with more satisfaction and quicker responsiveness, the locating problem of RSCs has become one of the important issues in reverse supply chain management. This problem is formulated as a zero-one mixed integer programming in which an exiting distributor will be considered to be an un-capacitated repair service center for the objective of cost-minimizing. Since logistical costs are highly interrelated with the multinational location of distributors and RSCs, the fixed cost for setting a repair service center, variable cost, transportation cost, and exchange rates are considered in this study. Recognizing the selection of un-capacitated RSCs’ locations is a combinatorial optimization problem and is a zero-one mixed integer programming with NP-hard complexity, we provide a heuristic algorithm named as incremental cost matrix procedure (ICMP) to simplify the solving procedure. By using the concise and structural cost matrix, ICMP can efficiently screen the potential location with cost advantage and effectively decide which distributor should be a RSC. Results obtained from the numerical experiments conducted in small scale problem have shown the fact that ICMP is an effective and efficient heuristic algorithm for solving the RSCs locating problem. In the future, using the extended ICMP to solve problems with larger industrial scale or problems with congestion effects caused by the variation of customer demand and the restriction of the RSC capacity is worth a further investigation.

The Incremental Cost Matrix Procedure for Locating Repair Service Centers in Multinational Reverse Logistics

Chen, Hsin Min,Hsieh, Chih Kuang,Wu, Ming Cheng,Luo, Shin Wei Korean Institute of Industrial Engineers 2009 Industrial Engineeering & Management Systems Vol.8 No.3

This study provides a heuristic algorithm to solve the locating problem of repair service centers (RSCs). To enhance the customer service level with more satisfaction and quicker responsiveness, the locating problem of RSCs has become one of the important issues in reverse supply chain management. This problem is formulated as a zero-one mixed integer programming in which an exiting distributor will be considered to be an un-capacitated repair service center for the objective of cost-minimizing. Since logistical costs are highly interrelated with the multinational location of distributors and RSCs, the fixed cost for setting a repair service center, variable cost, transportation cost, and exchange rates are considered in this study. Recognizing the selection of un-capacitated RSCs' locations is a combinatorial optimization problem and is a zero-one mixed integer programming with NP-hard complexity, we provide a heuristic algorithm named as incremental cost matrix procedure (ICMP) to simplify the solving procedure. By using the concise and structural cost matrix, ICMP can efficiently screen the potential location with cost advantage and effectively decide which distributor should be a RSC. Results obtained from the numerical experiments conducted in small scale problem have shown the fact that ICMP is an effective and efficient heuristic algorithm for solving the RSCs locating problem. In the future, using the extended ICMP to solve problems with larger industrial scale or problems with congestion effects caused by the variation of customer demand and the restriction of the RSC capacity is worth a further investigation.

Development of Automatic Supplementary Lighting System for Greenhouses

( Shih Fu-pang ),( Lin Meng-ting ),( Lee Hsieh-chih ),( Hsieh Kuang-wen ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

To solve the agricultural damages caused by the climate change, this study is developed to build an automatic supplementary lighting platform for plant factories. The platform mainly uses aluminum as materials. The lighting strategy will depend on the DPI. During the day, platform parked at the original position and uses quantum sensor to accumulate the daylight. At night, it moved to the supplementary lighting area and provides lighting to plants. The platform is operated in cooperation with a PLC control system, and uses RFID and limit switch as a local positioning system at plant factories. In supplementary lighting area, lifting system detects the height of plants to adjust the level of lampshade accordingly. The study operated 10 times movement experiments, after first 5 times calibration, the success rate of last 5 times moving positioning is 93%, and the success rate of 10 times lifting experiments is 98%. The platform can provide an average of 354 μmol /㎡ /s light intensity within the distance of 10cm from the plants, and 3.27 μmol CO₂ / ㎡ / s if it is within the photosynthesis characteristic of lettuce. Based on the results of two-week experiment, it can be confirmed that supplementary lighting is able to provide sufficient lighting to plants during the night, and reach DPI standard of each supplementary lighting area.

Development of a Sorting System for Inspection of Mushroom Mycelium Growth

( Vivian Liao ),( Suming Chen ),( Chao-yin Tsai ),( Kuang-wen Hsieh ),( Kuo-chih Tung ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

Mushroom cultivation is one of the important industries in Taiwan's agriculture. In current mushroom cultivation process, which includes spawn production, substrate preparation & bottling, inoculation, spawning, scratching, fruiting, harvest and packing, required a large amount of labor. In this research, the improvement in fault inspection for spawn level and bacterial infection before scratching process was conducted. The aim of this research is to establish an inspection system using machine vision, pneumatic mechanism and Programmable Logic Controller (PLC). First, an experiment-used small lighting chamber was made to study the image processing method, which can get the development (expansion) of self-made simulated samples from its side view image. The accuracy to recognize the fault in self-made simulated samples is up to 99.9%. In real cultivation bottle samples fault inspection, it spent for about 10 seconds and can get well recognition. A prototype of sorting system has also been established to conduct the inspecting process and remove bottles with fault conditions of spawn level and bacterial infection.

Study on a Wireless Environmental Monitoring System for Duck Incubator

( Rou-yan Peng ),( Suming Chen ),( Kuang-wen Hsieh ),( Chao-yin Tsai ),( Chih-hsiang Hsu ),( Jin-ming Tsai ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

Taiwan's domestic development of incubators are in simple structure, at low prices, and generally used by the industry. However, high number of regional dead eggs, the inability to understand the environmental conditions of incubator and other issues occurred frequently, resulting in operation and production difficulties. This research developed a wireless environmental monitoring system to collect data and upload to the cloud. A variety of environmental sensors and Raspberry Pi 3 were used in the establishment of wireless sensing module and environmental information detection platform. The environmental information was displayed in real-time and uploaded to the cloud. Computational fluid dynamics (CFD) was also used to simulate the internal flow field inside the incubator to determine the environmental control features, and control heating and humidification equipment with a PID controller. In this study, the establishment of wireless environmental monitoring system was completed. The wireless sensing module and the environment information detection platform have also been developed and tested. The stability of wireless sensing module was 98.5%, and the CFD simulation error was under 20%, which was low enough to predict the actual field temperature changes, and can be applied to the regulation of the incubator environment.