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China Swine Industry ›› 2026, Vol. 21 ›› Issue (4): 102-111.doi: 10.16174/j.issn.1673-4645.2026.04.011

• Special Report • Previous Articles     Next Articles

System design of unmanned disinfection equipment for multi-story livestock farms

CHEN Xinrong1, PANG Wulin2, SUN Erchao2, ZHONG Ruqing3, YUAN Peiyin1*, LIU Xiangdong2,4*   

  1. 1Chongqing Jiaotong University, Chongqing 400074, China; 

    2Guangxi Yangxiang Group Co., Ltd., Guigang 537100, China; 

    3Institute of Animal Sciences of CAAS, Beijing 100193, China; 

    4Huazhong Agricultural University, Wuhan 430070, China

  • Online:2026-08-25 Published:2026-08-25

Abstract: To address the problems of low efficiency, large blind spots, and high personnel infection risk in manual disinfection for traditional livestock farming, this paper presented an unmanned disinfection equipment tailored for complex multi-story building breeding environments. First, a hardware platform with high maneuverability and reliability was built based on an Ackermann steering chassis and multi-sensor fusion technology. Second, to overcome the slow convergence andsusceptibility to local optima of conventional ant colony algorithms, a two-layer architecture integrating the artificial potential field method and an improved ant colony algorithm was proposed, and the Timed Elastic Band (TEB) algorithm was introduced to achieve local dynamic obstacle avoidance. Finally, an intelligent control system that integrates environmental perception, path planning, and precise spraying was established using the Robot Operating System (ROS). Experimental results demonstrated that under complex road conditions, the positioning error of the equipment was controlled within ±3 cm, the disinfection efficiency exceeded 95%, the disinfection coverage rate surpassed 98%, and the sterilization rate reached 100% , which verified the effectiveness and superiority of the system for operation in multi-story livestock buildings. The relevant technologies can provide scientific support for the intelligent development of animal husbandry equipment.

Key words: pig farm, unmanned disinfection equipment, path planning, ant colony algorithm, artificial potential field method, multi-sensor fusion

CLC Number: 

  • S828
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