CN111295332A - Control method of agricultural plant protection unmanned aerial vehicle, agricultural plant protection unmanned aerial vehicle and computer readable storage medium - Google Patents
Control method of agricultural plant protection unmanned aerial vehicle, agricultural plant protection unmanned aerial vehicle and computer readable storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D1/00—Dropping, ejecting, releasing, or receiving articles, liquids, or the like, in flight
- B64D1/16—Dropping or releasing powdered, liquid, or gaseous matter, e.g. for fire-fighting
- B64D1/18—Dropping or releasing powdered, liquid, or gaseous matter, e.g. for fire-fighting by spraying, e.g. insecticides
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C19/00—Aircraft control not otherwise provided for
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U30/00—Means for producing lift; Empennages; Arrangements thereof
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- G—PHYSICS
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Abstract
A control method of an agricultural plant protection unmanned aerial vehicle comprises the following steps: acquiring operation information of the agricultural plant protection unmanned aerial vehicle (S210); acquiring pesticide information of pesticides required by the operation of the agricultural plant protection unmanned aerial vehicle (S220); and matching the operation information with the pesticide information, and feeding back the operation of the agricultural plant protection unmanned aerial vehicle according to the matching condition (S230), so that the user can timely adjust the control of the agricultural plant protection unmanned aerial vehicle after obtaining the feedback. An agricultural plant protection drone and a computer readable storage medium are also provided.
Description
Technical Field
The present disclosure relates to the field of unmanned aerial vehicle technology, and more particularly, to a control method for an agricultural plant protection unmanned aerial vehicle, and a computer-readable storage medium.
Background
Agricultural plant protection unmanned aerial vehicle has extensively been applied to in the modernized agricultural operation, uses agricultural plant protection unmanned aerial vehicle to spray the operation to liquid pesticide or nutrient solution such as insecticide, germicide, herbicide and ripening defoliant, sugar-increasing agent, foliar fertilizer, also can sow solid seed, can also carry out work such as survey and drawing to the farmland. The application of the agricultural plant protection unmanned aerial vehicle plays an important role in preventing and treating plant diseases and insect pests and improving crop yield.
However, pesticide information and agricultural plant protection unmanned aerial vehicle's operation information can't match at present, can't realize the target of meticulous agriculture for the user can't accomplish to spray according to the operation information when using agricultural plant protection unmanned aerial vehicle to spray the operation and accurately spray.
Disclosure of Invention
The embodiment of the disclosure aims to provide a control method of an agricultural plant protection unmanned aerial vehicle, the agricultural plant protection unmanned aerial vehicle and a computer readable storage medium, which realize good matching of pesticide information and operation information of the agricultural plant protection unmanned aerial vehicle, so that accurate spraying can be performed according to the operation information in the pesticide application process of the unmanned aerial vehicle.
According to a first aspect of the present disclosure, there is provided a control method for an agricultural plant protection unmanned aerial vehicle, including: acquiring operation information of the agricultural plant protection unmanned aerial vehicle; acquiring pesticide information of pesticides required by the operation of the agricultural plant protection unmanned aerial vehicle; and matching the operation information with the pesticide information, and feeding back the operation of the agricultural plant protection unmanned aerial vehicle according to the matching condition so that a user can timely adjust the control of the agricultural plant protection unmanned aerial vehicle after obtaining the feedback.
According to a second aspect of the present disclosure, there is provided an agricultural plant protection unmanned aerial vehicle, comprising: the power device is used for providing flight power for the agricultural plant protection unmanned aerial vehicle; the spraying system is used for executing the spraying operation of the agricultural plant protection unmanned aerial vehicle; the flight controller is electrically connected with the power device and the spraying system and is used for controlling the power device and the spraying system; communication device, be used for with agricultural plant protection unmanned aerial vehicle's control terminal communication connection, communication device with the unmanned aerial vehicle electricity is connected. The flight controller is configured to: acquiring operation information of the agricultural plant protection unmanned aerial vehicle; acquiring pesticide information of pesticides required by the operation of the agricultural plant protection unmanned aerial vehicle; and matching the operation information with the pesticide information, and feeding back the operation of the agricultural plant protection unmanned aerial vehicle according to the matching condition so that a user can timely adjust the control of the agricultural plant protection unmanned aerial vehicle after obtaining the feedback.
According to a third aspect of the present disclosure, there is provided a computer-readable storage medium storing a computer program which, when executed by at least one processor, causes the at least one processor to execute the method of controlling an agricultural plant protection drone described above.
Adopt this disclosed technical scheme, can accurately match pesticide information and agricultural plant protection unmanned aerial vehicle's operation information for agricultural plant protection unmanned aerial vehicle can carry out the accuracy according to operation information and spray when the operation is sprayed in the execution.
Drawings
The above and other features of the present disclosure will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart illustrating a control method of an agricultural plant protection drone according to one embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating a control method of an agricultural plant protection drone according to one embodiment of the present disclosure.
Fig. 3A-3D are schematic diagrams illustrating an application scenario of an agricultural plant protection drone according to one embodiment of the present disclosure.
Fig. 4 is a block diagram illustrating an agricultural plant protection drone according to one embodiment of the present disclosure.
Fig. 5 is a schematic diagram illustrating an agricultural plant protection drone of one embodiment of the present disclosure.
Fig. 6 is a schematic diagram illustrating a computer-readable storage medium according to one embodiment of the present disclosure.
It should be noted that the drawings are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the technology disclosed herein. In addition, for purposes of clarity, like reference numbers refer to like elements throughout the drawings.
Detailed Description
The present disclosure is described in detail below with reference to the attached drawings and detailed description. It should be noted that the present disclosure should not be limited to the specific embodiments described below. In addition, for the sake of brevity, detailed descriptions of well-known technologies not directly related to the present disclosure are omitted to prevent confusion of understanding of the present disclosure.
Fig. 1 is a flowchart illustrating a control method of an agricultural plant protection drone according to one embodiment of the present disclosure.
As shown in fig. 1, in step S110, the operation information of the agricultural plant protection unmanned aerial vehicle is acquired. For example, the job information may be obtained during a job of the agricultural plant protection drone, which may include, for example, one or more of: the operation speed, the operation duration, unmanned aerial vehicle's the width of spouting, operation distance, unmanned aerial vehicle's flying height, shower nozzle velocity of flow and shower nozzle flow. The operation information may be acquired by a sensor mounted on the unmanned aerial vehicle. For example, position sensor can take notes agricultural plant protection unmanned aerial vehicle's positional information, can acquire this agricultural plant protection unmanned aerial vehicle's operating distance, information such as flying height. The position sensor comprises at least one of a gyroscope, a positioning antenna, an electronic compass and an inertial measurement unit. For example, the jet width of the drone may be acquired by an ultrasonic sensor or a visual sensor (monocular or binocular), and other operation information may be acquired by an environmental sensor or a barometer. Alternatively, the operation information such as the flow rate or the flow rate of the head is acquired by a device such as a flow valve.
In one embodiment, the positioning antenna can resolve heading information of the agricultural plant protection unmanned aerial vehicle based on a Global Positioning System (GPS). Or the position information of the agricultural plant protection unmanned aerial vehicle is more accurately obtained through a Real-time kinematic (RTK) carrier phase difference technology, so that various operation information such as the flight speed, the operation distance, the flight height and the like are calculated.
Fig. 3A is a schematic diagram illustrating obtaining job information during a job of an agricultural plant protection drone according to one embodiment of the present disclosure. As shown in fig. 3A, the acquired operation information includes flight hours, spraying flow rate, relative operation height, line spacing, speed, and other information of the agricultural plant protection unmanned aerial vehicle. In addition, the flight path (broken line) of the agricultural plant protection unmanned aerial vehicle is also shown in fig. 3A.
Fig. 3B is a schematic diagram illustrating details of flight records acquired during operation of an agricultural plant protection drone, according to one embodiment of the present disclosure. As shown in fig. 3B, the acquired record details may include information such as a job number, a flight record number, a flight mode, a geographic location, a job site, a job area, a dosage amount, and a type of medicament.
In step S120, pesticide information of pesticides required for the operation of the agricultural plant protection unmanned aerial vehicle is acquired. The pesticide information may include, for example, one or more of: the name of the pesticide, the dosage form of the pesticide, the mu dosage of the pesticide, the content of the active ingredients of the pesticide and the packaging specification of the pesticide.
In one embodiment, pesticide information may be obtained by image recognition of an image identifier on the outer package of the pesticide. For example, the image identifier may include a two-dimensional code, a bar code, a numerical symbol, or a photograph of the pesticide. In this embodiment, the image identifier may be obtained by using a camera mounted on a control terminal of the agricultural plant protection unmanned aerial vehicle, or may be obtained by using a camera mounted on the agricultural plant protection unmanned aerial vehicle itself, which is not limited herein.
In one embodiment, the pesticide information may be obtained by radio frequency identification of an electronic tag of the outer package of the pesticide. For example, the electronic tag may comprise an RFID tag or an NFC tag. The electronic reader capable of performing radio frequency identification can be an electronic reader carried on a control terminal of the agricultural plant protection unmanned aerial vehicle, and can also be an electronic reader carried by the unmanned aerial vehicle, and is not limited here.
In one embodiment, the pesticide information may be manually input by a user on a control terminal of the agricultural plant protection unmanned aerial vehicle. For example, a user may manually input pesticide information on an electronic mobile device with a display function, and the pesticide information input by the user may be one item or multiple items. Of course, in other embodiments, the pesticide information may be obtained by image recognition or radio frequency identification, and then the pesticide information with obvious errors may be manually input or modified by the user. Or in another embodiment, the pesticide information can be manually input by a user and then acquired through image recognition or radio frequency recognition, so that the accuracy of acquiring the pesticide information is improved.
Fig. 3C is a schematic diagram illustrating acquired pesticide information according to one embodiment of the present disclosure. As shown in fig. 3C, the acquired pesticide information including product name, pesticide name, formulation, specification and content is displayed in the "pesticide details" interface. It should be noted that the acquired pesticide information is not limited to the specific example shown in fig. 3C, and may also include other pesticide-related information, such as the mu amount of the pesticide, and the like.
In step S130, the total amount of pesticide actually used to complete the operation of the agricultural plant protection unmanned aerial vehicle is determined according to the operation information and the pesticide information.
In one embodiment, the actual operating acreage of the agricultural plant protection unmanned aerial vehicle can be determined from the operating information. For example, the actual work acreage S can be calculated as follows:
S＝v*t*W (1)
in the above formula (1), v represents the flight speed of the drone, t represents the flight duration of the drone, and W represents the swath width of the drone. In the actual operation process, the flying height may influence the width of the spraying amplitude, so the value of the width of the spraying amplitude can be adjusted according to the flying height.
Alternatively, the actual work acreage S can be calculated as follows:
S＝L*W (2)
in the above equation (2), L represents the flight distance of the drone, and W represents the swath width of the drone. Also, in an actual operation, the flying height may affect the width of the jet width, so that the value of the jet width may be adjusted according to the flying height.
In one embodiment, the total amount of pesticide actually used for completing the operation of the agricultural plant protection unmanned aerial vehicle can be determined according to the acquired flow rate of the spray head and the actual operation acreage. Here, the flow rate of the spray head means the amount of the pesticide sprayed per unit area (mu). Therefore, the total amount of the agricultural chemical actually used can be obtained by multiplying the flow rate of the nozzle by the actual working area (acreage).
In one embodiment, the total amount of pesticide actually used to complete the operation of the agricultural plant protection unmanned aerial vehicle can be determined according to the acquired flow rate of the spray head and the operation duration. Here, the head flow rate refers to a spray amount per unit time. Therefore, the total amount of the agricultural chemical actually used can be obtained by multiplying the flow rate of the spray head by the operation time.
In one embodiment, the number of pesticide bottles actually used can be determined according to the total amount of pesticide actually used in the operation of the agricultural plant protection unmanned aerial vehicle and pesticide information. Further, the subsidy instruction can be generated according to the number of the pesticide bottles actually used. The subsidy instruction may be sent to the user's control terminal so that the amount of the subsidy may be directly embodied on the user's control terminal.
Fig. 2 is a flowchart illustrating a control method of an agricultural plant protection drone according to one embodiment of the present disclosure.
As shown in fig. 2, in step S210, the operation information of the agricultural plant protection unmanned aerial vehicle is acquired. For example, the job information may include one or more of: the name of the work, the parcel information of the work, the area information of the work, and the type information of the work.
In one embodiment, the job information may be predetermined by the control terminal of the agricultural plant protection drone before the job. For example, the job information may be manually input by a user on a control terminal of the agricultural plant protection drone. One example of such a situation includes: when a user performs a job on a certain land for the first time, job information of the land can be input on the control terminal.
FIG. 3D is a diagram illustrating job information entry, according to one embodiment of the present disclosure. As shown in fig. 3D, job information may be input by a user on the control terminal. Specifically, in the "new job" interface, the user can input information such as the start time of the job, the job name of the job, the land parcel information of the job, the area information of the job, the geographical position, the detailed address, the estimated area, and the crop type. The user does not have to enter all of this information. For example, information such as task name or geographic location may not be entered.
In one embodiment, the job information may be selected by a user from historical job information stored in the control terminal. For example, if a job has been executed one or more times for a certain plot, the user may select information related to the job operation of this time from the stored history data.
In one embodiment, the job information may further include job information acquired during operation of the agricultural plant protection drone. For example, the acquired job information may include one or more of: the operation speed, the operation duration, unmanned aerial vehicle's the width of spouting, operation distance, unmanned aerial vehicle's flying height, shower nozzle velocity of flow and shower nozzle flow.
In step S220, pesticide information of pesticides required for the operation of the agricultural plant protection unmanned aerial vehicle is acquired. For example, the pesticide information may include one or more of: the amount of the pesticide, the name of the pesticide, the formulation of the pesticide, the specification of the pesticide and the content of the active ingredient of the pesticide.
In one embodiment, pesticide information may be obtained by image recognition of an image identifier on the outer package of the pesticide. For example, the image identifier may include a two-dimensional code, a bar code, a numerical symbol, or a photograph of the pesticide.
In one embodiment, the pesticide information may be obtained by radio frequency identification of an electronic tag of the outer package of the pesticide. For example, the electronic tag may comprise an RFID tag or an NFC tag.
In one embodiment, the pesticide information may be manually input by a user on a control terminal of the agricultural plant protection unmanned aerial vehicle.
In step S230, the operation information and the pesticide information are matched, and the operation of the agricultural plant protection unmanned aerial vehicle is fed back according to the matching condition, so that the user can adjust the control of the agricultural plant protection unmanned aerial vehicle in time after obtaining the feedback.
In one embodiment, the operation area in the operation information is matched with the pesticide amount in the pesticide information, and the recommended pesticide amount use interval is fed back to the user according to the operation area. Further, if the operation information is previously acquired from the agricultural plant protection unmanned aerial vehicle operation process in step S210, the amount of pesticide used in the operation process may be calculated from the acquired operation information in the operation process, and the amount of pesticide used in the operation process may be compared with the recommended pesticide amount use interval.
In one embodiment, when the amount of pesticide used in the working process is greater than or less than the recommended pesticide amount use interval, a prompt message can be sent to the user. The prompt message may include an audible prompt, a display interface prompt, or a flashing light alarm.
In one embodiment, when the quantity of pesticides used in the operation process is larger than or smaller than the recommended pesticide quantity use interval, the operation of the agricultural plant protection unmanned aerial vehicle can be automatically controlled. For example, the automatic control may include: the flight speed of the unmanned aerial vehicle is automatically adjusted and/or the flow velocity of a spray head of the unmanned aerial vehicle is automatically adjusted.
In one embodiment, the working area in the working information may be matched with the number of pesticides in the pesticide information, and the recommended working area may be fed back to the user according to the obtained number of pesticides. For example, referring again to fig. 3A, the acquired operation information includes flight hours, spraying flow rate, relative operation height, line spacing, and speed of the agricultural plant protection drone. In addition, refer again to the flight record details of the agricultural plant protection drone shown in fig. 3B. It can be seen that the "working area" shown in fig. 3B is 1.7 acres. Then, the amount of pesticide consumed per acre can be calculated from the number of pesticides (application amount) used in the job (1.7 acres of pesticide spray). Then, dividing the obtained pesticide quantity by the pesticide quantity consumed per mu, calculating to obtain a recommended operation area and feeding the recommended operation area back to the user.
Fig. 4 is a block diagram illustrating an agricultural plant protection drone according to one embodiment of the present disclosure. Fig. 5 is a schematic diagram illustrating an agricultural plant protection drone according to one embodiment of the present disclosure. As shown in fig. 4, the agricultural plant protection drone 40 includes a power device 410, a spraying system 420, a communication device 430, and a flight controller 440.
The power device 410 is used for providing flight power for the drone 40. For example, the power plant 410 may include a propulsion unit for generating lift to propel the drone 40 such that the drone 40 is capable of flying in three-dimensional space. One example of a propulsion unit may include one or more rotors. The drone 40 may be capable of spatial translation along one, two, or three axes, which may be orthogonal to one another. For example, the axes may include a pitch axis, a yaw axis, and/or a roll axis. The drone 40 may also rotate about one, two, or three axes, which may be orthogonal to each other. For example, the axes may be a pitch axis, a yaw axis, and/or a roll axis.
In one embodiment, the drone 40 may have a central body with one or more arms or branches extending from the central body. The arms may extend laterally or radially from the central body. The arms may be movable relative to the central body or may be fixed relative to the central body. The arms may support one or more propulsion units. For example, each arm may support one, two or more propulsion units.
Spraying system 420 is used for carrying out the spraying operation of agricultural plant protection unmanned aerial vehicle. For example, the spraying system 420 may include a container for holding a pesticide, a nozzle for spraying the pesticide, a mating connector, and the like.
Examples of communication types may include, but are not limited to: communication via the internet, Local Area Network (LAN), Wide Area Network (WAN), bluetooth, Near Field Communication (NFC) technology, mobile data protocol-based networks such as General Packet Radio Service (GPRS), GSM, Enhanced Data GSM Environment (EDGE), 3G, 4G, or Long Term Evolution (LTE) protocols, Infrared (IR) communication technology, and/or Wi-Fi, and may be wireless, wired, or a combination thereof.
The control terminal may be any type of external device. Examples of control terminals may include, but are not limited to, smart phones/handsets, tablets, Personal Digital Assistants (PDAs), laptop computers, desktop computers, media content players, video game stations/systems, virtual reality systems, augmented reality systems, wearable devices (e.g., Head Mounted Devices (HMDs), gesture recognition devices, microphones, any electronic device capable of providing or presenting image data, or any other type of device.
The control terminal may include one or more memory storage devices including a non-transitory computer-readable medium containing code, logic, or instructions for performing one or more actions. The control terminal may include one or more processors capable of executing code in a non-transitory computer-readable medium. The control terminal may include a communication unit that may allow communication with the agricultural plant protection drone. In some cases, the communication unit may include a single communication module or a plurality of communication modules. In some cases, the control terminal may be capable of interacting with the agricultural plant protection drone using a single communication link or multiple different types of communication links.
The control terminal may include a display (or display device). The display may be a screen. The display may be a touch screen. Examples of displays include Light Emitting Diode (LED) screens, OLED screens, Liquid Crystal Display (LCD) screens, plasma screens, or any other type of screen. The display may be configured to display a Graphical User Interface (GUI). The GUI may show images that may allow a user to control the action of the agricultural plant protection drone. In some cases, the user may select a target from the image. The target may be a stationary target or a moving target. In other cases, the user may select a direction of travel from the image. A user may select a portion of an image (e.g., a point, an area, and/or an object) to define a flight target and/or direction of an agricultural plant protection drone.
A user may touch a portion of the screen. A user may touch a portion of the screen by touching a point on the screen. Alternatively, the user may select a region on the screen from a pre-existing set of regions, or may draw the boundaries of the region, the diameter of the region, or specify a portion of the screen in any other way. The user may select a flight target and/or direction of the agricultural plant protection drone by selecting a portion of the image via a user interaction device (e.g., a mouse, joystick, keyboard, trackball, touch pad, button, verbal command, gesture recognition, gesture sensor, thermal sensor, touch capacitive sensor, or any other means). The touch screen may be configured to detect a position of a touch, a length of the touch, a pressure of the touch, and/or a touch motion of the user, whereby each of the above-described touch patterns may indicate a specific input command from the user.
A flight controller 440 is connected to the power unit 410, the sprinkler system 420 and the communication unit 430 for controlling the operation of these components. Flight controller 440 can include one or more memory storage devices including a non-transitory computer-readable medium containing code, logic, or instructions for performing one or more actions. Flight controller 440 can include one or more processors capable of executing code in a non-transitory computer-readable medium.
in one embodiment, flight controller 440 may be configured to: acquiring operation information of the agricultural plant protection unmanned aerial vehicle 40; acquiring pesticide information of pesticides required by the operation of the agricultural plant protection unmanned aerial vehicle 40; and determining the total amount of pesticides actually used for completing the operation of the agricultural plant protection unmanned aerial vehicle 40 according to the operation information and the pesticide information.
In one embodiment, flight controller 440 may be configured to: acquiring operation information of the agricultural plant protection unmanned aerial vehicle 40; acquiring pesticide information of pesticides required by the operation of the agricultural plant protection unmanned aerial vehicle 40; and matching the operation information with the pesticide information, and feeding back the operation of the agricultural plant protection unmanned aerial vehicle according to the matching condition, so that the user can timely adjust the control of the agricultural plant protection unmanned aerial vehicle 40 after obtaining the feedback.
The details of the above method have been described in detail above and are therefore not repeated here.
Adopt this disclosed technical scheme, can carry out more meticulous agricultural data analysis to agricultural plant protection unmanned aerial vehicle's operation, improve the availability factor of pesticide to agricultural operation's process has been improved.
Furthermore, embodiments of the present disclosure may be implemented by means of a computer program product. The computer program product may be a computer readable storage medium, for example. The computer readable storage medium has a computer program stored thereon, and when the computer program is executed on a computing device, the computer program can perform relevant operations to implement the above technical solutions of the present disclosure.
For example, FIG. 6 is a block diagram illustrating a computer-readable storage medium 60 according to one embodiment of the present disclosure. As shown in fig. 6, the computer-readable storage medium 60 includes a computer program 610. The computer program 610, when executed by at least one processor, causes the at least one processor to perform the various steps of the method, for example, as described with respect to fig. 1 or fig. 2. Since the method shown in fig. 1 and 2 has been described in detail above, it will not be repeated here.
Those skilled in the art will appreciate that examples of computer-readable storage medium 60 include, but are not limited to: semiconductor storage media, optical storage media, magnetic storage media, or any other form of computer-readable storage media.
The method of the present disclosure and the related apparatus have been described above in connection with preferred embodiments. Those skilled in the art will appreciate that the methods illustrated above are exemplary only. The methods of the present disclosure are not limited to the steps or sequences shown above.
It should be understood that the above-described embodiments of the present disclosure may be implemented by software, hardware, or a combination of both software and hardware. Such arrangements of the present disclosure are typically provided as downloadable software images, shared databases, etc. arranged or encoded in software, code and/or other data structures on a computer readable medium such as an optical medium (e.g., CD-ROM), floppy or hard disk or other media such as firmware or microcode on one or more ROM or RAM or PROM chips or in one or more modules. The software or firmware or such configurations may be installed on a computing device to cause one or more processors in the computing device to perform the techniques described in the embodiments of the present disclosure.
Furthermore, each functional block or respective feature of the device used in each of the above-described embodiments may be implemented or executed by a circuit, which is typically one or more integrated circuits. Circuitry designed to perform the various functions described in this specification may include a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC) or a general purpose integrated circuit, a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, or discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, or the processor may be an existing processor, controller, microcontroller, or state machine. The general-purpose processor or each circuit described above may be configured by a digital circuit, or may be configured by a logic circuit. Further, when advanced technology capable of replacing the current integrated circuit is developed due to the advancement of semiconductor technology, the present disclosure can also use the integrated circuit obtained using the advanced technology.
The program running on the apparatus according to the present disclosure may be a program that causes a computer to realize the functions of the embodiments of the present disclosure by controlling a Central Processing Unit (CPU). The program or information processed by the program may be temporarily stored in a volatile memory (such as a random access memory RAM), a Hard Disk Drive (HDD), a nonvolatile memory (such as a flash memory), or other memory system. A program for implementing the functions of the embodiments of the present disclosure may be recorded on a computer-readable recording medium. The corresponding functions can be realized by causing a computer system to read the programs recorded on the recording medium and execute the programs. The term "computer system" as used herein may be a computer system embedded in the device and may include an operating system or hardware (e.g., peripheral devices).
As above, the embodiments of the present disclosure have been described in detail with reference to the accompanying drawings. However, the specific configuration is not limited to the above embodiment, and the present disclosure also includes any design modification without departing from the gist of the present disclosure. In addition, various modifications can be made to the disclosure within the scope of the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments are also included in the technical scope of the disclosure. Further, components having the same effects described in the above embodiments may be substituted for each other.
Claims (39)
1. A control method of an agricultural plant protection unmanned aerial vehicle is characterized by comprising the following steps:
acquiring operation information of the agricultural plant protection unmanned aerial vehicle;
acquiring pesticide information of pesticides required by the operation of the agricultural plant protection unmanned aerial vehicle; and
and matching the operation information with the pesticide information, and feeding back the operation of the agricultural plant protection unmanned aerial vehicle according to the matching condition so that the user can timely adjust the control of the agricultural plant protection unmanned aerial vehicle after obtaining the feedback.
2. The method of claim 1, wherein the job information comprises one or more of: the name of the work, the parcel information of the work, the area information of the work, and the type information of the work.
3. The method of claim 2, wherein the job information is predetermined by a control terminal of the agricultural plant protection drone prior to a job.
4. The method of claim 3, wherein the job information is manually entered by a user on a control terminal of the agricultural plant protection drone.
5. The method according to claim 3, wherein the job information is selected by a user from historical job information stored in the control terminal.
6. The method according to any one of claims 3 to 5, characterized by matching a work area in the work information with the number of pesticides in the pesticide information and feeding back a recommended pesticide number use interval to a user according to the work area.
7. The method of claim 6, wherein the job information further comprises job information acquired during operation of the agricultural plant protection drone, the job information acquired during operation comprising one or more of: the operation speed, the operation duration, unmanned aerial vehicle's the width of spouting, operation distance, unmanned aerial vehicle's flying height, shower nozzle velocity of flow and shower nozzle flow.
8. The method according to claim 7, wherein the amount of pesticide used during the operation is calculated from the operation information during the operation, and the amount of pesticide used during the operation is compared with the recommended pesticide amount use interval.
9. The method as claimed in claim 8, wherein when the amount of pesticide used in the operation process is greater than or less than the recommended pesticide amount use interval, a prompt message is sent to the user.
10. The method of claim 9, wherein the prompting message comprises: voice prompt, display interface prompt or flashing light alarm.
11. The method according to claim 8, wherein the operation of the agricultural plant protection drone is automatically controlled when the amount of pesticide used during the operation is greater than or less than a recommended pesticide amount use interval.
12. The method of claim 11, wherein the automatically controlling comprises:
automatically adjusting the flight speed of the unmanned aerial vehicle; and/or
The automatic adjustment unmanned aerial vehicle's shower nozzle velocity of flow.
13. The method of claim 1, wherein the pesticide information comprises one or more of: the amount of the pesticide, the name of the pesticide, the formulation of the pesticide, the specification of the pesticide and the content of the active ingredient of the pesticide.
14. The method of claim 13, wherein the pesticide information is obtained by image recognition of an image identifier on an outer package of pesticide.
15. The method of claim 14, wherein the image identifier comprises one or more of: two-dimensional codes, bar codes, numerical symbols, photographs.
16. The method of claim 13, wherein the pesticide information is obtained by radio frequency identification of an electronic tag of an outer package of pesticide.
17. The method of claim 16, wherein the electronic tag comprises one or more of: RFID tags, NFC tags.
18. The method of claim 13, wherein the pesticide information is manually entered by a user on a control terminal of the agricultural plant protection drone.
19. The method according to any one of claims 13 to 18, characterized by matching the work area in the work information with the number of pesticides in the pesticide information and feeding back the recommended work area to the user according to the obtained number of pesticides.
20. An agricultural plant protection unmanned aerial vehicle, its characterized in that includes:
the power device is used for providing flight power for the agricultural plant protection unmanned aerial vehicle;
the spraying system is used for executing the spraying operation of the agricultural plant protection unmanned aerial vehicle;
the flight controller is electrically connected with the power device and the spraying system and is used for controlling the power device and the spraying system;
the communication device is used for being in communication connection with a control terminal of the agricultural plant protection unmanned aerial vehicle and is electrically connected with the unmanned aerial vehicle; wherein the content of the first and second substances,
the flight controller is configured to:
acquiring operation information of the agricultural plant protection unmanned aerial vehicle;
acquiring pesticide information of pesticides required by the operation of the agricultural plant protection unmanned aerial vehicle; and
and matching the operation information with the pesticide information, and feeding back the operation of the agricultural plant protection unmanned aerial vehicle according to the matching condition so that the user can timely adjust the control of the agricultural plant protection unmanned aerial vehicle after obtaining the feedback.
21. The agricultural plant protection drone of claim 20, wherein the job information includes one or more of: the name of the work, the parcel information of the work, the area information of the work, and the type information of the work.
22. The agricultural plant protection drone of claim 21, wherein the job information is predetermined by a control terminal of the agricultural plant protection drone prior to a job.
23. The agricultural plant protection drone of claim 22, wherein the job information is manually entered by a user on a control terminal of the agricultural plant protection drone.
24. The agricultural plant protection drone of claim 22, wherein the job information is selected by a user from historical job information stored in the control terminal.
25. The agricultural plant protection drone of any one of claims 22 to 24, wherein the flight controller is configured to: matching the operation area in the operation information with the pesticide quantity in the pesticide information, and feeding back a recommended pesticide quantity use interval to a user according to the operation area.
26. The agricultural plant protection drone of claim 25, wherein the job information further includes job information acquired during operation of the agricultural plant protection drone, the job information acquired during operation including one or more of: the operation speed, the operation duration, unmanned aerial vehicle's the width of spouting, operation distance, unmanned aerial vehicle's flying height, shower nozzle velocity of flow and shower nozzle flow.
27. The agricultural plant protection drone of claim 26, wherein the flight controller is configured to: and calculating the quantity of the pesticides used in the operation process according to the operation information in the operation process, and comparing the quantity of the pesticides used in the operation process with the recommended pesticide quantity use interval.
28. The agricultural plant protection drone of claim 27, wherein the flight controller is configured to: and when the number of the pesticides used in the operation process is larger than or smaller than the recommended pesticide number using interval, sending prompt information to a user.
29. The agricultural plant protection drone of claim 28, wherein the cue information includes: voice prompt, display interface prompt or flashing light alarm.
30. The agricultural plant protection drone of claim 27, wherein the flight controller is configured to: and when the number of the pesticides used in the operation process is larger than or smaller than the recommended pesticide number use interval, automatically controlling the operation of the agricultural plant protection unmanned aerial vehicle.
31. The agricultural plant protection drone of claim 30, wherein the automatic control includes:
automatically adjusting the flight speed of the unmanned aerial vehicle; and/or
The automatic adjustment unmanned aerial vehicle's shower nozzle velocity of flow.
32. The agricultural plant protection drone of claim 20, wherein the pesticide information includes one or more of: the amount of the pesticide, the name of the pesticide, the formulation of the pesticide, the specification of the pesticide and the content of the active ingredient of the pesticide.
33. The agricultural plant protection drone of claim 32, wherein the pesticide information is obtained by image recognition of an image identifier on an outer package of pesticide.
34. The agricultural plant protection drone of claim 33, wherein the image identifier includes one or more of: two-dimensional codes, bar codes, numerical symbols, photographs.
35. The agricultural plant protection unmanned aerial vehicle of claim 32, wherein the pesticide information is obtained by radio frequency identification of an electronic tag of an outer package of the pesticide.
36. The agricultural plant protection drone of claim 35, wherein the electronic tag includes one or more of: RFID tags, NFC tags.
37. The agricultural plant protection drone of claim 32, wherein the pesticide information is manually entered by a user on a control terminal of the agricultural plant protection drone.
38. The agricultural plant protection drone of any one of claims 32 to 37, wherein the flight controller is configured to: matching the operation area in the operation information with the pesticide quantity in the pesticide information, and feeding back the recommended operation area to a user according to the obtained pesticide quantity.
39. A computer-readable storage medium storing a computer program which, when executed by at least one processor, causes the at least one processor to perform the method according to any one of claims 1-19.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2018/124963 WO2020133241A1 (en) | 2018-12-28 | 2018-12-28 | Control method for agricultural plant protection unmanned aerial vehicle , and agricultural plant protection unmanned aerial vehicle and computer-readable storage medium |
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| CN111295332A true CN111295332A (en) | 2020-06-16 |
| CN111295332B CN111295332B (en) | 2024-03-15 |
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| CN111295332B (en) | 2024-03-15 |
| WO2020133241A1 (en) | 2020-07-02 |
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