WO2019137134A1 - Method for testing spray flow of diaphragm pump of plant protection unmanned aerial vehicle based on microphone - Google Patents
Method for testing spray flow of diaphragm pump of plant protection unmanned aerial vehicle based on microphone Download PDFInfo
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- WO2019137134A1 WO2019137134A1 PCT/CN2018/120305 CN2018120305W WO2019137134A1 WO 2019137134 A1 WO2019137134 A1 WO 2019137134A1 CN 2018120305 W CN2018120305 W CN 2018120305W WO 2019137134 A1 WO2019137134 A1 WO 2019137134A1
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- diaphragm pump
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
- G01F1/66—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by measuring frequency, phase shift or propagation time of electromagnetic or other waves, e.g. using ultrasonic flowmeters
- G01F1/662—Constructional details
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- the invention belongs to the technical field of plant protection drones, and particularly relates to a diaphragm pump spray flow test method of a plant-based maintenance drone based on a microphone.
- the spraying flow rate of the plant protection unmanned aerial vehicle is difficult in the air.
- the reason is that the traditional vortex flowmeter is large in size and high in weight, and is not suitable for installation on the drone; 2 the traditional flowmeter has a large measuring range for 0.5-2L/min. The small flow measurement is difficult and not suitable for small diameter installation; 3 Because the high-concentration agent is applied by aviation application, the viscosity of the measured medium is large, and the built-in flowmeter is easily blocked due to the clogging of the drug;
- the technical problem to be solved by the present invention is to provide a diaphragm pump spray flow test method of a microphone-based plant protection drone for the above-mentioned deficiencies of the prior art, and the diaphragm pump spray flow test method of the microphone-based plant protection drone is not required.
- the traditional flowmeter is installed, and only the acoustic wave measurement method of the microphone is used to read the acoustic signal of the reciprocating motion of the diaphragm, and the vibration frequency of the diaphragm is analyzed by Fourier transform and low-pass filtering analysis, and finally the current flow rate of the diaphragm pump is solved by the acquired frequency information.
- the results are accurate and reliable.
- the technical solution adopted by the present invention is:
- a diaphragm-based spray pump flow test method for a plant-based maintenance drone based on a microphone comprising the following steps:
- Step 1 The microphone collects the acoustic signal of the diaphragm pump on the plant protection drone and sends the acoustic signal to the voice control unit;
- Step 2 The voice control unit converts the sound wave signal into an analog signal and sends the analog signal to the controller;
- Step 3 The controller receives the analog signal and performs a spectral analysis on the signal to obtain a sound wave spectrogram;
- Step 4 Determine the time interval of the diaphragm pump operation through the sonic spectrogram, and select the acoustic wave spectrum of the time zone in which the diaphragm pump works;
- Step 5 Filter out other amplitudes within the amplitude threshold range of the acoustic signal not emitted by the diaphragm pump from the acoustic wave spectrum of the time interval in which the diaphragm pump operates;
- Step 6 Analyze the acoustic wave spectrogram obtained in step 5 by using the Fourier transform method, and obtain the acoustic wave frequency of the diaphragm reciprocating motion at each time point in the time interval in which the diaphragm pump operates;
- Step 7 pre-calibrate the diaphragm acoustic wave frequency of the diaphragm pump under different flow working conditions, and obtain the relationship between the acoustic wave frequency of the diaphragm pump and the diaphragm pump flow rate;
- Step 8 Substituting the acoustic wave frequency of the reciprocating motion of the diaphragm at each time point in the time interval in which the diaphragm pump obtained in step 6 is operated into the relational expression of step 7, obtaining the corresponding point of each time point of the diaphragm pump in the working time interval. Traffic.
- the voice control unit comprises an acoustic wave analog to digital conversion unit, and the controller uses a single chip microcomputer.
- the step 4 specifically includes:
- the time point of the amplitude positive step specifically includes: setting a step change threshold in advance, if the amplitude at a certain time point increases and the increased change value is greater than the step Changing the threshold, then the time point is the time point at which the amplitude is positively graded;
- the time point of the negative amplitude step specifically includes: setting a step change threshold in advance, and if the amplitude at a certain time point decreases and the decreased change value is greater than the step change threshold, the time point is amplitude negative. The point in time of the order.
- the step 5 includes:
- the amplitude of the acoustic wave spectrogram is determined according to the acoustic wave spectrogram in the time interval in which the diaphragm pump operates, and the amplitude threshold range of the acoustic wave signal emitted by the diaphragm pump is preset, from the acoustic wave spectrogram of the time interval in which the diaphragm pump operates. Other amplitudes within the amplitude threshold range that are not part of the acoustic signal from the diaphragm pump are filtered out.
- the step 6 includes:
- the acoustic wave frequency is the acoustic wave of the diaphragm reciprocating at the time point corresponding to the spectrogram in the time interval in which the diaphragm pump operates.
- the frequency, the acoustic wave frequency in which the amplitude variation is large in the spectrogram refers to the acoustic wave frequency whose amplitude change value is larger than the amplitude change threshold.
- the invention has the beneficial effects that the invention does not need to install a conventional flow meter, and solves the defects of the traditional flow meter occupying volume and installation difficulty, and the invention only uses the method of microphone sound wave measurement to read the diaphragm pump in the plant protection drone.
- the acoustic signal of the diaphragm reciprocating motion is analyzed by Fourier transform and low-pass filtering, and the diaphragm moving frequency is analyzed. Finally, the current flow rate of the diaphragm pump is solved by the acquired frequency information, and the result is accurate and reliable.
- Figure 1 is a schematic view of the structure of the present invention.
- Figure 2 is a flow chart of the operation of the present invention.
- Figure 3 is a sound wave spectrogram of the present invention.
- Figure 4 is a spectrogram of the present invention.
- the diaphragm pump 1 to spray the pesticide, and the diaphragm pump 1 works by driving the diaphragm of the pump body through the external motor to pump the pesticide liquid to the nozzle.
- the flow velocity of the liquid flowing through the pump body is positively correlated with the moving frequency of the diaphragm.
- the acoustic wave signal of the reciprocating motion of the diaphragm is read by the method of measuring the acoustic wave of the diaphragm, and the Fourier transform is performed. Transform and low-pass filter analysis, the diaphragm movement frequency is analyzed, and finally the current flow rate of the diaphragm pump 1 is solved by the acquired frequency information.
- the specific structure is as follows:
- a diaphragm pump spray flow test device of a microphone-based plant protection drone includes a plant protection drone, a diaphragm pump on a plant protection drone, a microphone 2, a voice control unit 3, and a controller 4 (single chip microcomputer), a microphone 2 is mounted on the diaphragm pump 1, and the microphone 2 is connected through the voice control unit 3 and the controller 4 (microcontroller).
- a diaphragm-based spray pump flow test method for a microphone-based plant protection drone includes the following steps:
- Step 1 collecting sound wave signals: the microphone 2 collects the sound wave signal of the diaphragm pump 1 on the plant protection drone and transmits the sound wave signal to the sound control unit 3;
- Step 2 acoustic wave analog-to-digital conversion: the voice control unit 3 converts the sound wave signal into an analog signal, and sends an analog signal to the controller 4;
- Step 3 Profiling analysis: The controller 4 receives the analog signal and performs the spectral analysis of the signal to obtain the acoustic wave spectrogram; the acoustic wave spectrum is shown in Fig. 3. The abscissa of the acoustic spectrum represents time and the ordinate represents amplitude. The waveform is characterized by amplitude versus time;
- Step 4 Analysis of the speech spectrum: Determine the time interval of the diaphragm pump operation through the sonic spectrogram, and select the acoustic wave spectrum of the time interval in which the diaphragm pump works; as shown in Fig. 3, t 11 to t 1m belong to the diaphragm pump. Time interval; t 21 to t 2m belong to the time interval in which the diaphragm pump operates; t 31 to t 3m belong to the time interval in which the diaphragm pump operates;
- Step 5 Low-pass filtering: Filter out other amplitudes within the amplitude threshold range of the acoustic signal not from the diaphragm pump from the acoustic spectral map of the time interval in which the diaphragm pump is operating; due to the propeller, motor or other unmanned aircraft operating The mechanical vibration can cause the acoustic wave signal, and the microphone receives the clutter signal of each frequency band when collecting the movement information of the pump diaphragm pump.
- the amplitude of the acoustic wave signal emitted by the diaphragm pump is the largest, and The amplitude of other acoustic signals on the body of the plant protection unmanned aircraft is small and the time-frequency signals are fluctuating, and the effective sound intensity can be obtained through the spectral analysis, and the low-pass filtering is performed;
- Step 6 Analysis of effective acoustic wave frequency characteristics: The acoustic wave spectral map obtained in step 5 is analyzed by using the Fourier transform method, and the acoustic wave frequency of the diaphragm reciprocating motion at each time point in the time interval of the diaphragm pump operation is obtained;
- Step 7 Calculation of diaphragm pump flow rate: Pre-calibrate the diaphragm acoustic wave frequency of the diaphragm pump under different flow conditions, and obtain the relationship between the diaphragm acoustic wave frequency and the diaphragm pump flow rate in the diaphragm pump;
- Step 8 Calculation of the diaphragm pump flow rate: the acoustic wave frequency of the diaphragm reciprocating motion at each time point in the time interval in which the diaphragm pump obtained in step 6 is operated is substituted into the relational expression in step 7, and the diaphragm pump is obtained in the working time interval. The traffic corresponding to each time point.
- the voice control unit 3 includes an acoustic wave analog to digital conversion unit, and the controller 4 employs a single chip microcomputer.
- the time point of the amplitude positive step specifically includes: setting a step change threshold in advance, and if the amplitude at a certain time point increases and the increased change value is greater than the step change threshold, the time point is an amplitude.
- the time point of the negative amplitude step specifically includes: setting a step change threshold in advance, and if the amplitude at a certain time point decreases and the decreased change value is greater than the step change threshold, the time point is amplitude negative. The point in time of the order. As shown in Fig.
- t 11 to t 1m belong to the time interval in which the diaphragm pump operates; t 21 to t 2m belong to the time interval in which the diaphragm pump operates; t 31 to t 3m belong to the time interval in which the diaphragm pump operates.
- the low-pass filtering method of step 5 specifically includes: (a) determining an amplitude in the acoustic wave spectrogram according to the acoustic wave spectrogram in a time interval in which the diaphragm pump operates, and presetting the amplitude of the acoustic wave signal emitted by the diaphragm pump
- the threshold range is filtered from the acoustic spectrum of the time interval in which the diaphragm pump operates to filter out other amplitudes within the amplitude threshold range of the acoustic signal not emitted by the diaphragm pump, and the acoustic wave spectrum in the time interval in which the diaphragm pump actually operates is obtained.
- the amplitude threshold range can be set according to the amplitude range of the acoustic signal emitted by the diaphragm pump when the actual clutterless signal is acquired.
- the acoustic wave frequency of the diaphragm pump itself is related to the rotational speed of the diaphragm pump.
- the operating frequency range of the diaphragm pump can also be calculated by the rotational speed of the diaphragm pump, and then the diaphragm pump is determined according to the acoustic wave spectrum in the time interval in which the diaphragm pump operates.
- the frequency signal in the time interval extracts the frequency signal located in the operating frequency range of the diaphragm pump from the working time interval of the diaphragm pump, filters out the frequency signal not within the operating frequency range of the diaphragm pump, and obtains the actual operation of the diaphragm pump.
- the sonic language spectrum within the time interval is the frequency signal located in the operating frequency range of the diaphragm pump from the working time interval of the diaphragm pump, filters out the frequency signal not within the operating frequency range of the diaphragm pump, and obtains the actual operation of the diaphragm pump.
- the acoustic wave spectrum in the time interval in which the diaphragm pump actually works can be clearly obtained, but here the acoustic wave also contains the clutter signal, which must be subjected to secondary analysis.
- the Fourier transform is used. The method is to analyze the frequency characteristic of the reciprocating motion of the diaphragm of the working area of the diaphragm pump, that is, the step 6 is performed, and the step 6 includes:
- f(t) represents the spectrogram
- F( ⁇ ) corresponding to the spectrogram
- the acoustic wave frequency is the acoustic wave of the diaphragm reciprocating at the time point corresponding to the spectrogram in the time interval in which the diaphragm pump operates.
- the frequency, the acoustic wave frequency in which the amplitude variation is large in the spectrogram refers to the acoustic wave frequency whose amplitude change value is larger than the amplitude change threshold.
- the abscissa is the frequency and the ordinate is the amplitude.
- x ⁇ 35.39 is the acoustic wave frequency of the reciprocating motion of the diaphragm obtained according to the spectrogram
- x ⁇ 70.74 Although the amplitude variation is also large, x ⁇ 70.74 and x ⁇ 35.39 belong to an integer multiple relationship, that is, the frequency of x ⁇ 70.74 belongs to the frequency multiplication.
- the acoustic wave frequency (ie, the diaphragm acoustic wave frequency) of the diaphragm pump under different flow working conditions is calibrated, and the diaphragm acoustic wave frequency and the diaphragm pump can be obtained by the diaphragm pump calibration.
- x is the acoustic frequency
- f(x) is the diaphragm pump flow.
- the diaphragm pump can be connected to different voltages, and there is a corresponding rotation speed under each voltage. The frequency is calculated by the rotation speed, so that the acoustic wave frequency of the diaphragm pump under different flow conditions is obtained, and the diaphragm pump is obtained. The relationship between the acoustic frequency of the inner diaphragm and the flow rate of the diaphragm pump.
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- Electromagnetism (AREA)
- Fluid Mechanics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Measuring Volume Flow (AREA)
- Reciprocating Pumps (AREA)
Abstract
Description
Claims (6)
- 一种基于麦克风的植保无人机的隔膜泵喷洒流量测试方法,其特征在于,包括以下步骤:A diaphragm-based spray pump flow test method for a plant-based maintenance drone based on a microphone, characterized in that it comprises the following steps:步骤1:麦克风采集植保无人机上的隔膜泵的声波信号并发送声波信号到声控单元;Step 1: The microphone collects the acoustic signal of the diaphragm pump on the plant protection drone and sends the acoustic signal to the voice control unit;步骤2:声控单元将声波信号转换为模拟信号,并发送模拟信号到控制器;Step 2: The voice control unit converts the sound wave signal into an analog signal and sends the analog signal to the controller;步骤3:控制器接收模拟信号并对信号进行语谱分析得到声波语谱图;Step 3: The controller receives the analog signal and performs a spectral analysis on the signal to obtain a sound wave spectrogram;步骤4:通过声波语谱图判断隔膜泵工作的时间区间,并选取隔膜泵工作的时间区间的声波语谱图;Step 4: Determine the time interval of the diaphragm pump operation through the sonic spectrogram, and select the acoustic wave spectrum of the time interval in which the diaphragm pump works;步骤5:从隔膜泵工作的时间区间的声波语谱图中过滤掉不属于隔膜泵发出的声波信号的振幅阈值范围内的其他振幅;Step 5: Filter out other amplitudes within the amplitude threshold range of the acoustic signal not emitted by the diaphragm pump from the acoustic wave spectrum of the time interval in which the diaphragm pump operates;步骤6:采用傅里叶变换的方法解析步骤5得到的声波语谱图,得到隔膜泵工作的时间区间内的每个时间点的隔膜往复运动的声波频率;Step 6: Analyze the acoustic wave spectrogram obtained in step 5 by using the Fourier transform method, and obtain the acoustic wave frequency of the diaphragm reciprocating motion at each time point in the time interval in which the diaphragm pump operates;步骤7:预先标定隔膜泵在不同流量工作状态下的隔膜声波频率,得到隔膜泵内隔膜声波频率与隔膜泵流量的关系式;Step 7: pre-calibrate the diaphragm acoustic wave frequency of the diaphragm pump under different flow working conditions, and obtain the relationship between the acoustic wave frequency of the diaphragm pump and the diaphragm pump flow rate;步骤8:将步骤6得到的隔膜泵工作的时间区间内的每个时间点的隔膜往复运动的声波频率代入步骤7的关系式内,得到隔膜泵在工作的时间区间内的每个时间点对应的流量。Step 8: Substituting the acoustic wave frequency of the reciprocating motion of the diaphragm at each time point in the time interval in which the diaphragm pump obtained in step 6 is operated into the relational expression of step 7, obtaining the corresponding point of each time point of the diaphragm pump in the working time interval. Traffic.
- 根据权利要求1所述的基于麦克风的植保无人机的隔膜泵喷洒流量测试方法,其特征在于,所述声控单元包括声波模数转换单元,所述控制器采用单片机。The diaphragm pump spray flow test method for a microphone-based plant protection drone according to claim 1, wherein the sound control unit comprises an acoustic wave analog-to-digital conversion unit, and the controller uses a single chip microcomputer.
- 根据权利要求1所述的基于麦克风的植保无人机的隔膜泵喷洒流量测试方法,其特征在于,所述的步骤4具体包括:The diaphragm pump spray flow test method of the microphone-based plant protection drone according to claim 1, wherein the step 4 specifically comprises:(1)通过声波语谱图选取声波语谱图中振幅正阶越的时间点,该时间点为隔膜泵的开启时间点,通过声波语谱图选取声波语谱图中振幅负阶越的时间点,该时间点为隔膜泵的关闭时间点,隔膜泵开启的时间点和其后的相邻的隔膜泵的关闭时间点之间的时间区间为隔膜泵工作的时间区间;(1) Select the time point of the positive amplitude of the acoustic wave spectral map by the acoustic wave spectrogram, which is the opening time point of the diaphragm pump, and select the time of the negative amplitude of the acoustic wave spectral map by the acoustic wave spectrogram. Point, the time point is the closing time point of the diaphragm pump, and the time interval between the time when the diaphragm pump is opened and the closing time of the adjacent diaphragm pump is the time interval in which the diaphragm pump operates;(2)选取隔膜泵工作的时间区间内的声波语谱图。(2) Select the sonogram of the acoustic wave in the time interval in which the diaphragm pump works.
- 根据权利要求3所述的基于麦克风的植保无人机的隔膜泵喷洒流量测试方法,其特征在于,A diaphragm pump spray flow test method for a microphone-based plant protection drone according to claim 3, wherein所述的振幅正阶越的时间点具体包括:预先设定阶越变化阈值,若在某一时间点上 的振幅增大且增大的变化值大于阶越变化阈值,则该时间点为振幅正阶越的时间点;The time point of the amplitude positive step specifically includes: setting a step change threshold in advance, and if the amplitude at a certain time point increases and the increased change value is greater than the step change threshold, the time point is an amplitude. The time point of the positive order;所述的振幅负阶越的时间点具体包括:预先设定阶越变化阈值,若在某一时间点上的振幅减小且减少的变化值大于阶越变化阈值,则该时间点为振幅负阶越的时间点。The time point of the negative amplitude step specifically includes: setting a step change threshold in advance, and if the amplitude at a certain time point decreases and the decreased change value is greater than the step change threshold, the time point is amplitude negative. The point in time of the order.
- 根据权利要求3所述的基于麦克风的植保无人机的隔膜泵喷洒流量测试方法,其特征在于,所述的步骤5包括:The diaphragm pump spray flow test method of the microphone-based plant protection drone according to claim 3, wherein the step 5 comprises:根据隔膜泵工作的时间区间内的声波语谱图确定该声波语谱图内的振幅,预先设定隔膜泵发出的声波信号的振幅阈值范围,从隔膜泵工作的时间区间的声波语谱图中过滤掉不属于隔膜泵发出的声波信号的振幅阈值范围内的其他振幅。The amplitude of the acoustic wave spectrogram is determined according to the acoustic wave spectrogram in the time interval in which the diaphragm pump operates, and the amplitude threshold range of the acoustic wave signal emitted by the diaphragm pump is preset, from the acoustic wave spectrogram of the time interval in which the diaphragm pump operates. Other amplitudes within the amplitude threshold range that are not part of the acoustic signal from the diaphragm pump are filtered out.
- 根据权利要求5所述的基于麦克风的植保无人机的隔膜泵喷洒流量测试方法,其特征在于,所述的步骤6包括:The diaphragm pump spray flow test method of the microphone-based plant protection drone according to claim 5, wherein the step 6 comprises:(1)采用傅里叶变换的方法解析步骤5得到的声波语谱图,从而解析隔膜泵工作的时间区间内的隔膜往复运动的频率特性,得到隔膜泵工作的时间区间内的每个时间点对应的频谱图;(1) Using the Fourier transform method to analyze the acoustic wave spectrogram obtained in step 5, thereby analyzing the frequency characteristics of the diaphragm reciprocating motion in the time interval during which the diaphragm pump operates, and obtaining each time point in the time interval in which the diaphragm pump operates. Corresponding spectrogram;(2)选取频谱图中最接近于OHz、振幅变化大且不属于倍频的声波频率,该声波频率为隔膜泵工作的时间区间内的与频谱图相对应的时间点的隔膜往复运动的声波频率,所述的频谱图中振幅变化大的声波频率是指振幅变化值大于振幅变化阈值的声波频率。(2) Select the acoustic wave frequency in the spectrogram that is closest to OHz, has a large amplitude change, and does not belong to the multiplier. The acoustic wave frequency is the acoustic wave of the diaphragm reciprocating at the time point corresponding to the spectrogram in the time interval in which the diaphragm pump operates. The frequency, the acoustic wave frequency in which the amplitude variation is large in the spectrogram refers to the acoustic wave frequency whose amplitude change value is larger than the amplitude change threshold.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030111546A1 (en) * | 2001-12-19 | 2003-06-19 | Schaffter Barry Wayne | Automatic wind-drift compensation system for agricultural sprayers |
CN205485466U (en) * | 2016-02-04 | 2016-08-17 | 广州极飞电子科技有限公司 | Spread control device, sprinkling system and plant protection unmanned aerial vehicle |
CN205499375U (en) * | 2016-01-20 | 2016-08-24 | 南昌中航天信航空科技有限公司 | Plant protection unmanned vehicles spread control device |
CN206772357U (en) * | 2017-04-25 | 2017-12-19 | 一飞智控(天津)科技有限公司 | High-precision degree type flowmeter and the plant protection unmanned plane with the flowmeter |
CN207395811U (en) * | 2017-09-22 | 2018-05-22 | 赵耀 | Directly measure the device of small flow pulsation stream |
CN109084851A (en) * | 2018-06-29 | 2018-12-25 | 农业部南京农业机械化研究所 | The diaphragm pump of plant protection drone based on microphone sprays flow rate test method |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19702393A1 (en) * | 1997-01-24 | 1998-07-30 | Audi Ag | Method for determining the fuel consumption of a vehicle |
DE19751591B4 (en) * | 1997-11-21 | 2004-09-23 | Albin Dobersek | Method and device for determining the mass density of a volume flow of a suspension in a processing plant for ores or minerals |
US7311004B2 (en) * | 2003-03-10 | 2007-12-25 | Capstan Ag Systems, Inc. | Flow control and operation monitoring system for individual spray nozzles |
FI20040351A (en) * | 2004-03-04 | 2005-09-05 | Abb Oy | Measurement method and device |
DE102008001182A1 (en) * | 2008-04-15 | 2009-10-22 | Robert Bosch Gmbh | Method and device for determining the delivery volume of an injection pump |
CN104334881B (en) * | 2012-04-12 | 2017-04-26 | Itt制造企业有限责任公司 | Method of determining pump flow in rotary positive displacement pumps |
CN107264804A (en) * | 2017-05-12 | 2017-10-20 | 华南农业大学 | A kind of unmanned vehicle variable rate spray control device and method based on GPS |
-
2018
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Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030111546A1 (en) * | 2001-12-19 | 2003-06-19 | Schaffter Barry Wayne | Automatic wind-drift compensation system for agricultural sprayers |
CN205499375U (en) * | 2016-01-20 | 2016-08-24 | 南昌中航天信航空科技有限公司 | Plant protection unmanned vehicles spread control device |
CN205485466U (en) * | 2016-02-04 | 2016-08-17 | 广州极飞电子科技有限公司 | Spread control device, sprinkling system and plant protection unmanned aerial vehicle |
CN206772357U (en) * | 2017-04-25 | 2017-12-19 | 一飞智控(天津)科技有限公司 | High-precision degree type flowmeter and the plant protection unmanned plane with the flowmeter |
CN207395811U (en) * | 2017-09-22 | 2018-05-22 | 赵耀 | Directly measure the device of small flow pulsation stream |
CN109084851A (en) * | 2018-06-29 | 2018-12-25 | 农业部南京农业机械化研究所 | The diaphragm pump of plant protection drone based on microphone sprays flow rate test method |
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CN109084851B (en) | 2020-05-19 |
JP6837730B2 (en) | 2021-03-03 |
JP2021504716A (en) | 2021-02-15 |
AU2018402492A1 (en) | 2020-06-25 |
AU2018402492B2 (en) | 2020-07-09 |
CN109084851A (en) | 2018-12-25 |
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