https://doi.org/10.4081/jae.2024.1565
Research on inspection route of hanging environmental robot based on computational fluid dynamics
Published: 20 February 2024
Abstract Views: 219
PDF: 81
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
The environment of a closed piggery is commonly characterized by spatial unevenness, and there are currently no specific standards for installation points of various environmental monitoring sensors. Therefore, the project team used the hanging track inspection robot (HTIR) as an environmental mon-itoring platform to seek the environmental monitoring points and ensure the scientific layout of moni-toring points. Ansys-CFD software was used to study the change rules of environmental parameters at 1.6 m (α plane), 0.7 m (β plane), and 0.4 m (γ plane) above the ground. The 300 monitoring points ((x1~x30) ×(y1~y10)) in each plane were analyzed to determine the most suitable monitoring points and inspection routes for HTIR. The results showed that: (1) All monitoring points could be arranged directly below the y3 track. (2) Monitoring points (x1, y3), (x10, y3) and (x30, y3) were environmental feature points. At (x1, y3), the maximum relative humidity and NH3 concentration on the α plane could be detected, and the maximum wind speed, maximum temperature, and maximum NH3 concentration on other planes could also be detected; At (x10, y3), the minimum temperature and maximum relative humidity of the β and γ planes could be detected; At (x30, y3), the maximum NH3 concentration in the α plane and the minimum relative humidity in all planes could be detected. This study scientifically arranged the inspection track and monitoring points for HTIR, improved the accuracy of environmental monitoring, and put forward suggestions for reducing NH3 concentration in closed piggeries, laying the foundation for the next step.
Madona E., Yulastri, Nasution A., Prayogi. 2022. Implementation of Lora for Controlling and Moni-toring Broiler Cage Temperature. J. Phys. Conf. Ser. 2406:012009.
DOI: https://doi.org/10.1088/1742-6596/2406/1/012009
Zeng Z., Zeng F., Han X., et al. 2021. Real-Time Monitoring of Environmental Parameters in a Commercial Gestating Sow House Using a ZigBee-Based Wireless Sensor Network. Appl. Sci-Basel. 11:972-972.
DOI: https://doi.org/10.3390/app11030972
Zou, Z., Zhou, M., Zhao, Z., Wen, B. 2017. Design of ZigBee Based Environmental Parameter Mon-itoring System for Henhouse. pp 1894-1879 in proceedings of the 2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, PEOPLES R CHINA.
DOI: https://doi.org/10.1109/IAEAC.2017.8054342
Fu X., Shen W., Yin Y., Zhang Y., Yan S. et al. 2022. Remote monitoring system for livestock envi-ronmental information based on LoRa wireless ad hoc network technology. Int. J. Agric. Biol. Eng. 15:79-89.
DOI: https://doi.org/10.25165/j.ijabe.20221504.6708
National standard of the People’s Republic of China: AQSIQ & SAC, 2008. Environmental parameters and environmental management of large-scale pig farms. GB/T 17824.1-2008. Standards Press of China, Beijing, China.
Babadi K. A., Khorasanizadeh H., Aghaei A. 2022. CFD modeling of air flow, humidity, CO2, and NH3 distributions in a caged laying hen house with tunnel ventilation system. Comput. Electron. Agr. 193:106677.
DOI: https://doi.org/10.1016/j.compag.2021.106677
Gao L., Er M., Li L., Wen P., Jia Y. 2022. Microclimate environment model construction and control strategy of enclosed laying brooder house. Poultry Sci. 101:101843.
DOI: https://doi.org/10.1016/j.psj.2022.101843
Hou F., Shen C., Cheng Q. 2022. Research on a new optimization method for air flow organization in breeding air conditioning with perforated ceiling ventilation. Energy. 254:124279.
DOI: https://doi.org/10.1016/j.energy.2022.124279
Küçüktopcu E., Cemek B., Simsek H., Ni J. Q. 2022. Computational fluid dynamics modeling of a broiler house microclimate in summer and winter. Animals-Basel. 12: 867.
DOI: https://doi.org/10.3390/ani12070867
Jackson P., Nasirahmadi A., Guy J. H., Bull S., Avery P. J., Edwards S. A., Sturm B. 2020. Using CFD modelling to relate pig lying locations to environmental variability in finishing pens. Su-stainability-Basel. 12:1928.
Tabase R K, Bagci O, De Paepe M, et al. 2020. CFD simulation of airflows and ammonia emissions in a pig compartment with underfloor air distribution system: Model validation at different venti-lation rates. Comput. Electron. Agr. 171:105297.
DOI: https://doi.org/10.1016/j.compag.2020.105297
Yeo U.H., Decano-Valentin C., Ha T., et al. 2020. Impact analysis of environmental conditions on odour dispersion emitted from pig house with complex terrain using CFD. Agronomy-Basel. 10: 1828.
Tomasello N., Valenti F., Cascone G., et al. 2019. Development of a CFD model to simulate natural ventilation in a semi-open free-stall barn for dairy cows. Buildings-Basel. 9:183.
DOI: https://doi.org/10.3390/buildings9080183
Saha C. K., Yi Q., Janke D., Hempel S., et al. 2020. Opening size effects on airflow pattern and air-flow rate of a naturally ventilated dairy building—A CFD study. Appl. Sci-Basel. 10: 6054.
DOI: https://doi.org/10.3390/app10176054
Bovo M., Santolini E., Barbaresi A., Tassinari P., et al. 2022. Assessment of geometrical and seasonal effects on the natural ventilation of a pig barn using CFD simulations. Comput. Electron. Agr. 193:106652.
DOI: https://doi.org/10.1016/j.compag.2021.106652
Jung S., Chung H., Mondaca M.R., et al. 2023. Using computational fluid dynamics to develop posi-tive-pressure precision ventilation systems for large-scale dairy houses. Biosyst. Eng. 227:182-194.
DOI: https://doi.org/10.1016/j.biosystemseng.2023.02.003
Wang X., Zhang G., Choi C.Y. 2018. Effect of airflow speed and direction on convective heat transfer of standing and reclining cows. Biosyst. Eng. 167:87-98.
DOI: https://doi.org/10.1016/j.biosystemseng.2017.12.011
Mondaca M.R., Choi C.Y., Cook N.B. 2019.Understanding microenvironments within tun-nel-ventilated dairy cow freestall facilities: Examination using computational fluid dynamics and experimental validation. Biosyst. Eng. 183:70-84.
DOI: https://doi.org/10.1016/j.biosystemseng.2019.04.014
Pakari A., Ghani S. 2021.Comparison of different mechanical ventilation systems for dairy cow barns: CFD simulations and field measurements. Comput. Electron. Agr. 186:106207.
DOI: https://doi.org/10.1016/j.compag.2021.106207
Li H., Li Y., Yue X., et al. 2020. Evaluation of airflow pattern and thermal behavior of the arched greenhouses with designed roof ventilation scenarios using CFD simulation. PloS one. 15: e0239851.
DOI: https://doi.org/10.1371/journal.pone.0239851
Limtrakarn W., Boonmongkol P., Chompupoung A., et al. 2012. Computational fluid dynamics mod-eling to improve natural flow rate and sweet pepper productivity in greenhouse. Adv. Mech. Eng. 4:158563.
DOI: https://doi.org/10.1155/2012/158563
Nurmalisa M., Tokairin T., Kumazaki T., et al. 2022. CO2 Distribution under CO2 Enrichment Using Computational Fluid Dynamics Considering Photosynthesis in a Tomato Greenhouse. Appl. Sci-Basel. 12: 7756.
DOI: https://doi.org/10.3390/app12157756
Guzmán C.H., Carrera J.L., Durán H.A., et al. 2018. Implementation of virtual sensors for monitoring temperature in greenhouses using CFD and control. Sensors-Basel. 19: 60.
DOI: https://doi.org/10.3390/s19010060
Xu F., Lu H., Chen Z., et al. 2021. Selection of a computational fluid dynamics (CFD) model and its application to greenhouse pad-fan cooling (PFC) systems. J. Cl. Ean. Prod. 302:127013.
DOI: https://doi.org/10.1016/j.jclepro.2021.127013
Zhang G., Fu Z., Yang M., et al. 2019. Nonlinear simulation for coupling modeling of air humidity and vent opening in Chinese solar greenhouse based on CFD. Comput. Electron. Agr. 162: 337-347.
DOI: https://doi.org/10.1016/j.compag.2019.04.024
Li M., Zou X., Feng B., et al. 2023. Use of Computational Fluid Dynamics to Study Ammonia Con-centrations at Pedestrian Height in Smart Broiler Chamber Clusters. Agriculture-Basel. 13: 656.
DOI: https://doi.org/10.3390/agriculture13030656
Gonçalves J.C., Lopes A. M., Pereira J. L. 2023. Computational Fluid Dynamics Modeling of Am-monia Concentration in a Commercial Broiler Building. Agriculture-Basel. 13: 1101.
DOI: https://doi.org/10.3390/agriculture13051101
Kibwika A. K., Seo H. J., Seo I. H. 2023. CFD Model Verification and Aerodynamic Analysis in Large-Scaled Venlo Greenhouse for Tomato Cultivation. AgriEngineering. 5: 1395-1414.
DOI: https://doi.org/10.3390/agriengineering5030087
Li Y., Fu C., Yang H., et al. 2023. Design of a Closed Piggery Environmental Monitoring and Control System Based on a Track Inspection Robot. Agriculture-Basel. 13: 1501.
DOI: https://doi.org/10.3390/agriculture13081501
Jackson P., Nasirahmadi A., Guy J. H., et al. 2020. Using CFD modelling to relate pig lying locations to environmental variability in finishing pens. Sustainability-Basel. 12: 1928.
DOI: https://doi.org/10.3390/su12051928
Zhao W., Choi C. Y., Du X., et al. 2023. Effects of Ventilation Fans and Type of Partitions on the Air-flow Speeds of Animal Occupied Zone and Physiological Parameters of Dairy Pre-Weaned Calves Housed Individually in a Barn. Agriculture-Basel. 13: 1002.
DOI: https://doi.org/10.3390/agriculture13051002
Yeo U. H., Decano-Valentin C., Ha T., et al. 2020. Impact analysis of environmental conditions on odour dispersion emitted from pig house with complex terrain using CFD. Agronomy-Basel. 10: 1828.
DOI: https://doi.org/10.3390/agronomy10111828
Sousa Junior V. R., Sabino L. A., Moura D. J., et al. 2018. Application of computational fluid dy-namics on a study in swine facilities with mechanical ventilation system. Sci. Agr. 75: 173-183.
DOI: https://doi.org/10.1590/1678-992x-2016-0110
Fang J., Wu S., Wu Z., et al. 2022. CFD simulation of vertical ventilation in nursery pig house and optimization design of windshield. Journal of Northeast Agricultural University. 53: 59-68.
Drewry J. L., Mondaca M. R., Luck B. D., et al. 2018. A computational fluid dynamics model of bi-ological heat and gas generation in a dairy holding area. T. Asabe. 61: 449-460.
DOI: https://doi.org/10.13031/trans.12394
Rong L., Bjerg B., Zhang G. 2015. Assessment of modeling slatted floor as porous medium for pre-diction of ammonia emissions–Scaled pig barns. Comput. Electron. Agr. 117: 234-244.
DOI: https://doi.org/10.1016/j.compag.2015.08.007
Wang X., Cao M., Hu F., et al. 2022. Effect of Fans’ Placement on the Indoor Thermal Environment of Typical Tunnel-Ventilated Multi-Floor Pig Buildings Using Numerical Simulation. Agricul-ture-Basel. 12: 891.
DOI: https://doi.org/10.3390/agriculture12060891
Xin Y. 2021. Research on the distribution law of ammonia inside and outside the building pig house based on CFD simulation. Degree diss., Zhejiang University, zhejiang, china.
Zeng Z., Wei X., Lü E., et al. 2020. Numerical simulation and experimental verification of temperature and humidity in centralized ventilated delivery pigsty. Trans. Chin. Soc Agric. Eng. 36: 210-217.
How to Cite
Yang, H., Li, Y., Fu, C., Zhang, R., Li, H., Feng, Y., Zhang, Y., Cong, H. and Nie, F. (2024) “Research on inspection route of hanging environmental robot based on computational fluid dynamics”, Journal of Agricultural Engineering. doi: 10.4081/jae.2024.1565.
Copyright (c) 2024 the Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.