采煤沉陷积水区漂浮水稻驳岸收割装置设计与性能分析
Design and Performance Analysis of a Bank-Mounted Harvesting Device for Floating Rice in Coal Mining Subsidence Waterlogged Areas
摘要: 目的:针对采煤沉陷积水区漂浮水稻收割效率低、成本高、无适配设备的问题,结合水上种植环境,设计集传送、调节、卷扬、分离功能于一体的漂浮水稻收割装置及配套收割技术。方法:通过可调节工作平台固定联合收割机,支腿高度可调节以保证收割头的作业距离。采用主辅结合的传送带结构输送浮板,控制台调节传送带转速转向。卷扬装置通过钢索挂钩牵引浮板,可调节支架借助工字架与液压支腿实现坡度与高度调节。分离装置基于机械结构完成种植杯与浮板脱离。结果:研究大幅降低了漂浮水稻收割成本,显著提升了生产效率。结论:研究解决了常规陆地农机无法适配漂浮水稻收割的难题,助力漂浮水稻在采煤沉陷积水区的规模化种植,推动农业绿色可持续发展。
Abstract: Objective: To address the challenges of low efficiency, high cost, and lack of suitable equipment for floating rice harvesting in coal mining subsidence water areas, this study designs a floating rice harvesting device and its matching technology that integrates conveying, adjustment, winching, and separation functions, tailored to the aquatic cultivation environment. Methods: A combine harvester is fixed on an adjustable working platform, with telescopic support legs allowing height adjustment to ensure proper operating distance for the cutting header. A primary-auxiliary conveyor belt system transports the floating mats, while a control console regulates belt speed and direction. The winching device pulls the mats via steel cables and hooks, and an adjustable support frame, combined with I-beams and hydraulic legs, enables slope and height adaptation. The separation unit relies on a mechanical structure to detach planting cups from the floating mats. Results: The study significantly reduces harvesting costs and markedly improves operational efficiency. Conclusion: This solution overcomes the incompatibility of conventional land-based agricultural machinery with floating rice harvesting, thereby facilitating large-scale cultivation of floating rice in subsidence water areas and promoting green, sustainable agricultural development.
文章引用:李姝欣, 李小龙, 云宇, 杨金香, 陈永胜, 吴玉丽, 梅朵朵, 骆皓仪. 采煤沉陷积水区漂浮水稻驳岸收割装置设计与性能分析[J]. 矿山工程, 2026, 14(4): 1160-1167. https://doi.org/10.12677/me.2026.144114

参考文献

[1] 李凤明, 丁鑫品, 孙家恺. 我国采煤沉陷区生态环境现状与治理技术发展趋势[J]. 煤矿安全, 2021, 52(11): 232-239.
[2] 张进德, 郗富瑞. 我国废弃矿山生态修复研究[J]. 生态学报, 2020, 40(21): 7921-7930.
[3] 陈晓辉, 韦可民, 刘旭, 等. 漂浮水稻种植对沉陷区水体环境的影响研究[J]. 安徽理工大学学报(自然科学版), 2024, 44(6): 71-80.
[4] 郎建, 李小龙, 张世文, 等. 基于机器学习的采煤沉陷区水体富营养化监测[J]. 安徽理工大学学报(自然科学版), 2024, 44(6): 99-108.
[5] 李小龙, 陈永胜, 张世文, 等. 水样储存时间对“漂浮水稻”种植区水质检测影响[J]. 安徽理工大学学报(自然科学版), 2024, 44(6): 56-63.
[6] 刘晓飞, 代占朝, 宋华, 等. 国内水稻联合收割机发展历程及趋势[J]. 拖拉机与农用运输车, 2024, 51(1): 1-4.
[7] Guru, P.K., Sahu, P., Shukla, P., Diwan, P., Panwar, G., Tiwari, P., et al. (2025) A Critical Review on Rice Cultivation and Mechanization Level in Indian Perspective. Results in Engineering, 26, Article 105632.
https://doi.org/10.1016/j.rineng.2025.105632
[8] Ghosh, T.K., Singh, A.K., Mitra, S. and Karmakar, S. (2024) Gathering Insights of the Global Scenario of Floating-Bed Agriculture through Systematic Literature Review for Its Promotion in Indian Context. Progress in Disaster Science, 24, Article 100367.
https://doi.org/10.1016/j.pdisas.2024.100367
[9] 李小龙, 云宇, 张世文, 等. 采煤沉陷区“漂浮水稻”生长特征及健康风险评价[J]. 安徽理工大学学报(自然科学版), 2025, 45(4): 9-18.
[10] 朱志成. 水产养殖池塘水面种植水稻技术的应用研究[J]. 种子科技, 2023, 41(4): 49-51.
[11] Zhao, X.H., Zhao, X.Y., Chen, C., et al. (2022) Ecological Floating Bed for Decontamination of Eutrophic Water Bodies: Using Alum Sludge Ceramsite. Journal of Environmental Management, 311, Article 114845.
https://doi.org/10.1016/j.jenvman.2022.114845
[12] 胡宗军. 水稻收割机使用及关键技术分析[J]. 世界热带农业信息, 2025(6): 96-98.
[13] 中国农业机械化科学研究院. 农业机械设计手册(上) [M]. 北京: 中国农业科学技术出版社, 2007.
[14] 中国农业机械化科学研究院. 农业机械设计手册(下) [M]. 北京: 中国农业科学技术出版社, 2007.
[15] 张留华. 联合收割机知识库系统设计及应用——基于乡村振兴背景[J]. 农机化研究, 2024, 46(10): 187-191.
[16] 唐小涵, 金诚谦, 张国海, 等. 我国联合收获机脱粒分离装置的研究现状[J]. 农机化研究, 2022, 44(3): 1-9+15.
[17] 徐立章, 李洋, 李耀明, 等. 谷物联合收获机清选技术与装置研究进展[J]. 农业机械学报, 2019, 50(10): 1-16.
[18] 杨俊茹, 高阳, 李瑞川, 等. 联合收割机液压部件监测系统设计与研究[J]. 农机化研究, 2021, 43(1): 34-39.
[19] 陈学亮. 高效节能型农业机械传动系统结构设计研究[J]. 机械管理开发, 2024, 39(12): 118-120+124.
[20] 黄艳. 卷扬机传动装置的结构设计[J]. 机电产品开发与创新, 2024, 37(2): 40-43.
[21] Yang, M.D., Hsu, Y.C., Tseng, W.C., et al. (2025) Precision Assessment of Rice Grain Moisture Content Using UAV Multispectral Imagery and Machine Learning. Computers and Electronics in Agriculture, 230, Article 109813.
https://doi.org/10.1016/j.compag.2024.109813
[22] 吴海华, 李树君, 方宪法, 等. 我国农业装备产业升级研究[J]. 农业工程, 2014, 4(5): 5-9.