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: 2192
PDF: 94
SUPPLEMENTARY MATERIAL: 15
HTML: 5
SUPPLEMENTARY MATERIAL: 15
HTML: 5
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
Spatial irregularity is a common feature of a closed piggery’s environment, and as of right now, there are no established guidelines for where different environmental monitoring sensors should be installed. In order to find environmental monitoring points and guarantee a scientific monitoring point layout, the project team employed the hanging track inspection robot (HTIR) as an environmental monitoring platform. The environmental parameter change rules at 1.6 m (α plane), 0.7 m (β plane), and 0.4 m (γ plane) above the ground were examined using the Ansys-computational fluid dynamics software. 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: i) all monitoring points could be arranged directly below the y3 track; ii) monitoring points (x1, y3), (x10, y3), and (x30, y3) were environmental feature points. At (x1, y3), the maximum relative humidity (RH) 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 RH of the β and γ planes could be detected; at (x30, y3), the maximum NH3 concentration in the α plane and the minimum RH 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.
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.
Bovo, M., Santolini, E., Barbaresi, A., Tassinari, P., Torreggiani, D. 2022. Assessment of geometrical and seasonal effects on the natural ventilation of a pig barn using CFD simulations. Comput. Electron. Agr. 193:106652.
Drewry, J.L., Mondaca, M.R., Luck, B.D., Choi, C. 2018. A computational fluid dynamics model of biological heat and gas generation in a dairy holding area. T. Asabe. 61:449-60.
Fang, J., Wu, S., Wu, Z., Wenge, B. 2022. CFD simulation of vertical ventilation in nursery pig house and optimization design of windshield. J. Northeast Agric. Univ. 53:59-68.
Fu, X., Shen, W., Yin, Y., Zhang, Y., Yan, S., Kou S., Qu, T., Jacqueline, M. 2022. Remote monitoring system for livestock environmental information based on LoRa wireless ad hoc network technology. Int. J. Agric. Biol. Eng. 15:79-89.
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.
Gonçalves, J.C., Lopes, A.M., Pereira, J.L. 2023. Computational fluid dynamics modeling of ammonia concentration in a commercial broiler building. Agriculture-Basel. 13:1101.
Guzmán, C.H., Carrera, J.L., Durán, H.A., Berumen, J., Ortiz, A.A., Guirette O.A., Arroyo, A., Brizuela, J.A., Gómez, F., Blanco, A., Azcaray, H.R., Hernández, M. 2018. Implementation of virtual sensors for monitoring temperature in greenhouses using CFD and control. Sensors-Basel. 19:60.
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.
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. Sustainability-Basel. 12:1928.
Jung, S., Chung, H., Mondaca, M.R., Nordlund, K.V., Choi, C.Y. 2023. Using computational fluid dynamics to develop positivepressure precision ventilation systems for large-scale dairy houses. Biosyst. Eng. 227:182-94.
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. 5:1395-414.
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.
Li, H., Li, Y., Yue, X., Liu, X., Tian, S., Li, T. 2020. Evaluation of airflow pattern and thermal behavior of the arched greenhouses with designed roof ventilation scenarios using CFD simulation. PloS One. 15:e0239851.
Li, M., Zou, X., Feng, B., Qiu, X. 2023. Use of computational fluid dynamics to study ammonia concentrations at pedestrian height in smart broiler chamber clusters. Agriculture-Basel. 13:656.
Li, Y., Fu, C., Yang, H., Li, H. 2023. Design of a closed piggery environmental monitoring and control system based on a track inspection robot. Agriculture-Basel. 13:1501.
Limtrakarn, W., Boonmongkol, P., Chompupoung, A., Rungprateepthaworn, K., Kruenate, J., Dechaumphai, P. 2012. Computational fluid dynamics modeling to improve natural flow rate and sweet pepper productivity in greenhouse. Adv. Mech. Eng. 4:158563.
Madona, E., Yulastri, Nasution, A., Prayogi. 2022. Implementation of Lora for controlling and monitoring broiler cage temperature. J. Phys. Conf. Ser. 2406:012009.
Mondaca, M.R., Choi, C.Y., Cook, N.B. 2019.Understanding microenvironments within tunnel-ventilated dairy cow freestall facilities: examination using computational fluid dynamics and experimental validation. Biosyst. Eng. 183:70-84.
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. Nurmalisa, M., Tokairin, T., Kumazaki, T., Takayama, K., Inoue, T. 2022. CO2 distribution under CO2 enrichment using computational fluid dynamics considering photosynthesis in a tomato greenhouse. Appl. Sci-Basel. 12:7756.
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.
Rong, L., Bjerg, B., Zhang, G. 2015. Assessment of modeling slatted floor as porous medium for prediction of ammonia emissions- Scaled pig barns. Comput. Electron. Agr. 117:234-44.
Saha, C.K., Yi, Q., Janke, D., Hempel, S., Amon, B., Amon, T. 2020. Opening size effects on airflow pattern and airflow rate of a naturally ventilated dairy building - A CFD study. Appl. Sci-Basel. 10:6054.
Sousa, V., Sabino, L.A., Moura, D.J., Nunhez, J.R., Sonoda, L.T., Oliveira, A., Prada, R.J., Volpin, D. 2018. Application of computational fluid dynamics on a study in swine facilities with mechanical ventilation system. Sci. Agr. 75:173-83.
Tabase, R.K., Bagci, O., De Paepe, M., Aarnink A.J.A., Demeyer, P. 2020. CFD simulation of airflows and ammonia emissions in a pig compartment with underfloor air distribution system: model validation at different ventilation rates. Comput. Electron. Agr. 171:105297.
Tomasello, N., Valenti, F., Cascone, G., Porto, S.M.C.. 2019. Development of a CFD model to simulate natural ventilation in a semi-open free-stall barn for dairy cows. Buildings-Basel. 9:183.
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.
Wang, X., Cao, M., Hu, F., Yi, Q., Amon, T., Janke, D., Xie, T., Zhang, G., Wang, K. 2022. Effect of fans’ placement on the indoor thermal environment of typical tunnel-ventilated multifloor pig buildings using numerical simulation. Agriculture-Basel. 12:891.
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.
Xu, F., Lu, H., Chen, Z., Guan, Z.C., Chen, Y.W., Shen, G.W., Jiang, Z. 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.
Yeo, U.H., Decano-Valentin, C., Ha, T., Lee, I.B., Kim, R.W., Lee, S.Y., Kim, J.G. 2020. Impact analysis of environmental conditions on odour dispersion emitted from pig house with complex terrain using CFD. Agronomy-Basel. 10:1828.
Zeng, Z., Zeng, F., Han, X., Elkhouchlaa, H., Yu, Q., Lü, E. 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.
Zeng, Z., Wei, X., Lü, E., Liu, Y., Yi, Z., Guo J. 2020. Numerical simulation and experimental verification of temperature and humidity in centralized ventilated delivery pigsty. Trans. Chin. Soc Agric. Eng. 36:210-7.
Zhang, G., Fu, Z., Yang, M., Liu, X., Dong, Y., Li, X. 2019. Nonlinear simulation for coupling modeling of air humidity and vent opening in Chinese solar greenhouse based on CFD. Comput. Electron. Agr. 162:337-47.
Zhao, W., Choi, C.Y., Du, X., Guan, H., Li, H., Shi, Z. 2023. Effects of ventilation fans and type of partitions on the airflow speeds of animal occupied zone and physiological parameters of dairy pre-weaned calves housed individually in a barn. Agriculture-Basel. 13:1002.
Zou, Z., Zhou, M., Zhao, Z., Wen, B. 2017. Design of ZigBeebased Environmental Parameter Monitoring System for Henhouse. Proceedings of the 2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing. pp. 1879-94.
How to Cite
Yang, H. (2024) “Research on inspection route of hanging environmental robot based on computational fluid dynamics”, Journal of Agricultural Engineering, 55(2). 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.
Similar Articles
- Yanmei Meng, Tingting Zhang, Jin Wei, Jinlai Zhang, Xulei Zhai, Design and experiments of an automatic pipe winding machine , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
- Jingtao Li, Hao Chen, Guisong Li, Yueqi Liu, Yanli Yang, Xia Liu, Chang Yi Wang, Detection method of potato leaf disease based on YOLOv5s , Journal of Agricultural Engineering: Vol. 55 No. 3 (2024)
- E. Rigon, J. Moretto, F. Delai, L. Picco, D. Ravazzolo, R. Rainato, M.A. Lenzi, Application of the new Morphological Quality Index in the Cordevole river (BL, Italy) , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Chiara Cevoli, Angelo Fabbri, Frédérique Pasquali, Annachiara Berardinelli, Adriano Guarnieri, HOT AIR TREATMENT, IN NATURAL CONVECTION CONDITIONS, FOR EGG SURFACE DECONTAMINATION , Journal of Agricultural Engineering: Vol. 41 No. 4 (2010)
- Daniele Sarri, Riccardo Lisci, M. Rimediotti, M. Vieri, Sustainable management of waste in green nursery: the Tuscan experience , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- E. Quendler, P. Pötz, W. Hagmüller, R. Kogler, J. Boxberger, Determination of the working time requirement for suckling sows in the pen of Wels , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Annamaria Costa, Marcella Guarino, Marco Porro, Pierluigi Navarotto, EVALUATION OF PM10 EMISSION FROM FARROWING AND FATTENING SWINE ROOMS BY CONTINUOUS ON-LINE MEASUREMENTS , Journal of Agricultural Engineering: Vol. 38 No. 1 (2007)
- Simona Consoli, Osvaldo Facini, Antonio Motisi, Marianna Nardino, Rita Papa, Federica Rossi, Salvatore Barbagallo, Carbon balance and energy fluxes of a Mediterranean crop , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Maria Elena Menconi, David Grohmann, Optimization of sustainable buildings envelopes for extensive sheep farming through the use of dynamic energy simulation , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Irene Diti, Daniele Torreggiani, Patrizia Tassinari, Identification of rural landscape classes through a GIS clustering method , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
<< < 33 34 35 36 37 38 39 40 41 42 > >>
You may also start an advanced similarity search for this article.
