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果园风送喷雾精准控制方法研究进展

Research progress on precision control methods of air-assisted spraying in orchards

  • 摘要: 果园风送喷雾技术与装备正在朝着精准化和智能化方向发展。果园喷雾控制对象主要为喷施药量和风力供给量,二者需要协同精准调控,其按需调控的前提是果园靶标精准探测。该文从果园靶标探测方法、喷施药量控制方法、风力调控方法3个方面对现有研究进展进行综述,阐述了基于光电感知、超声波传感、激光雷达、图像、光谱和电子鼻技术探测果树位置、冠层外形轮廓、冠层体积、冠层内部结构、枝叶稠密程度、病虫害程度等特征信息的技术方法;分析了喷施药量调控方法中管道总药量控制方法在管道设计、混药方式、药液流量控制策略方面技术和产品化上取得的巨大突破,以及喷头药量独立控制方法研究方面获得的大量成果;综述了果园风送喷雾风速风量需求理论原则、风场雾场建模方法、风力调控方法与调控装备研究进展,指出了其基本理论原则、建模调控方法等科学问题还有待深入探索。同时,还分析了目前研究在果园靶标探测方法、喷施药量调控方法和风送喷雾风力调控方法中面临的困难和挑战,主要包括冠层稠密程度和病虫害程度高效感知方法探索、靶标风力需求普适模型构建、风场建模风力按需调控方法研究和精准喷雾技术与系统集成开发。最后指出了果园风送喷雾精准控制方法未来发展方向:1)果园靶标冠层枝叶稠密程度和病虫害程度在线探测方法将成为新的研究热点;2)果园风送喷雾风速风量供给需求理论原则、风场快速模拟仿真和风力调控方法与装备是未来重要研究方向;3)随着高新科技的涌现,科研院所和公司有望在果园喷雾药量和风力调控系统优化设计及精准喷雾机系统集成研发方面获得更大发展。

     

    Abstract: Abstract: Orchard air-assisted spraying technology and equipment are incorporating intelligent technologies to achieve higher precision. Liquid application rate and air supply rate are the two manipulated outputs of an orchard sprayer control system, which should be simultaneously controlled precisely at all times. For a target-oriented precision spraying, which aims to reduce off-target deposition or drift to keep environmental pollution to a tolerable limit, an orchard tree detection is indispensable. In this paper, the research progress analysis focuses on three methodologies: orchard target detection method, spraying dose control method and airflow control method. The orchard target detection method provides characteristic information of a target including tree position, canopy profile, canopy volume, canopy internal structure, canopy density, and canopy pest/disease level. Orchard tree positions are obtained by detecting tree canopies using ultrasonic sensors or optical sensors at different heights, or by sensing tree trunks using photoelectric sensors. Tree canopy profile and internal structure, which are used to estimate the volume and density of the canopy, can be detected based on ultrasonic sensing, LIDAR and machine vision. Spectroscopy, machine vision and electronic nose technologies are applied to evaluate the canopy pest/disease levels. Flow rate control methods through the sprayer plumbing and nozzles were reviewed. The plumbing flow rate can be adjusted by controlling spray pressure with electric regulating valves using hysteresis switch control, PID control, fuzzy control and artificial neural network. Regulating the injecting flow rate is another effective way to control pesticide application rate using an online mixing system in a sprayer. Major breakthroughs were obtained in plumbing design, pesticide mixing methods and strategies for plumbing flow rate control. There are also a large number of achievements in individual nozzle flow rate control based on PWM (pulse-width modulation) technology. Control systems of plumbing and individual nozzle flow rate regulation are commercialized, and some sprayers with these systems are available on the market. The theoretical principle of the air speed and air volume demand, which is the basic information for airflow control in orchard air-assisted spraying, is summarized. Air and droplet field modeling, airflow adjustment methods, and equipments are discussed. CFD (computational fluid dynamics) simulations combined with laboratory/orchard tests using special airflow and droplet deposition measuring systems become a viable way to establish spray spatial dynamic models. To adjust airflow of the air-assisted sprayer, the three key factors, including air direction, air speed and air volume, should be focused on. Air direction control mainly adopts the rotation of sprayer bellows and angle adjustment of air deflectors in the bellows, and the air speed and air volume are controlled mainly by changing the air inlet area, air outlet area and fan speed of an air-assisted sprayer. Finally, the obstacles and challenges in the current research related to the methods of orchard tree detection, spraying dose control and the airflow control are discussed. The obstacles and challenges include precision sensing methods exploration for canopy density and pest/disease level detection, establishment of universal models of orchard target air speed and air volume demand, investigation of airflow modeling and control base on the airflow demand, and integration of orchard precision spraying systems. The future development of precision control methods for air-assisted spraying in orchards was presented: 1) Orchard canopy density and pest/disease level online detection method is becoming a new research topic; 2) The study on the basic theoretical principles of air speed and air volume demand, airflow modeling, and control methods are an urgent need; 3) With the new advanced technology, scientific research institutions and companies will have great opportunities to optimize the design and development of new spraying dose and airflow control systems and integrate it with orchard precision sprayers.

     

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