CN109507967B - Operation control method and device - Google Patents
Operation control method and device Download PDFInfo
- Publication number
- CN109507967B CN109507967B CN201811460216.0A CN201811460216A CN109507967B CN 109507967 B CN109507967 B CN 109507967B CN 201811460216 A CN201811460216 A CN 201811460216A CN 109507967 B CN109507967 B CN 109507967B
- Authority
- CN
- China
- Prior art keywords
- area
- determining
- detected
- data
- working
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000005507 spraying Methods 0.000 claims abstract description 34
- 239000013589 supplement Substances 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 9
- 239000000575 pesticide Substances 0.000 description 6
- 239000007921 spray Substances 0.000 description 6
- 230000008569 process Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000003337 fertilizer Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 239000003905 agrochemical Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000002917 insecticide Substances 0.000 description 1
- 239000008141 laxative Substances 0.000 description 1
- 230000002475 laxative effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41845—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4189—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the transport system
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Catching Or Destruction (AREA)
Abstract
The application discloses an operation control method and device. Wherein, the method comprises the following steps: acquiring one or more to-be-detected areas in a target area; if the operation equipment performs operation in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment; judging whether the operation data meet a preset condition, if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area. The technical problem that whether the operation equipment is missed or not is determined by means of the moving track of the operation equipment, and accuracy is low is solved.
Description
Technical Field
The application relates to the field of plant protection, in particular to an operation control method and device.
Background
At present, unmanned aerial vehicle sprays insecticide mainly through two kinds of modes, firstly through producing the route behind the survey and drawing topography, unmanned aerial vehicle is automatic to carry out the laxative according to this route. Secondly, the remote controller is manually used to directly control the spraying system of the unmanned aerial vehicle to spray the pesticide according to the spraying record of the unmanned aerial vehicle.
When the unmanned aerial vehicle is used for spraying the pesticide according to the air route, the air route is preset and does not need manual participation, and the air route cannot be changed again after the air route is planned, so that whether all plots are planned or not cannot be determined, and the condition that the plots are easy to miss spraying is easily caused.
When the manual work uses the remote controller according to unmanned aerial vehicle's the record of spraying, rely on the storage of remote controller self and the sensor feedback of aircraft, the condition whether the judgement land parcel that can be fine sprays, but whether to the land parcel miss spray, this kind of mode is also passive, need be based on the flight orbit of aircraft, incessantly reads the flight orbit and the sensor of aircraft, is fit for little land parcel and uses, otherwise, the data bulk of handling is great.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides an operation control method and device, and the technical problem that whether the operation equipment is missed or not is determined by means of the moving track of the operation equipment, and the accuracy is low is at least solved.
According to an aspect of an embodiment of the present application, there is provided a job control method including: acquiring one or more to-be-detected areas in a target area; if the operation equipment performs operation in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment; judging whether the operation data meet a preset condition, if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area.
Optionally, the predetermined condition includes that the on-off state of the working device is an off state, and/or the spraying flow rate of the working object in the working equipment is less than a preset flow rate.
Optionally, after determining that the area to be detected is the first non-operation area, the method further includes: acquiring position information corresponding to the first non-operation area; and sending prompt information to a terminal, wherein the prompt information is used for prompting the supplement operation of the first non-operation area, and the prompt information comprises the position information.
Optionally, before acquiring one or more regions to be detected in the target region, the method includes: the target area is divided into one or more areas.
Optionally, after determining whether the job data satisfies a predetermined condition, the method further includes: constructing a presentation graph, the presentation graph comprising: one or more grids of the same size, the grids corresponding one-to-one with regions in the target region; and marking the grids by using marking information, wherein the first marking information of the grid corresponding to the operated area is different from the second marking information of the grid corresponding to the first non-operated area.
Optionally, before the obtaining of the position information corresponding to the first non-working area, the method further includes: acquiring a second non-operation area, wherein the second non-operation area is all areas except the operated area in the target area; and judging whether the target crops exist in the second unoperated area, if so, determining that the second unoperated area is the first unoperated area, and if not, determining that the second unoperated area is not the first unoperated area.
Optionally, after the position information corresponding to the first non-working area is acquired, the method further includes: determining the area of the first non-operation area according to the position information; and determining the amount to be sprayed of the operation object based on the area.
According to an aspect of an embodiment of the present application, there is provided a job control apparatus including: the first acquisition module is used for acquiring one or more to-be-detected areas in the target area; secondly, if the operation equipment performs operation in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment; the judging module is used for judging whether the operation data meet a preset condition or not, and if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area.
According to an aspect of the embodiments of the present application, there is provided a storage medium including a stored program, wherein when the program runs, an apparatus on which the storage medium is located is controlled to execute the above-described job control method.
According to an aspect of the embodiments of the present application, there is provided a processor for executing a program, wherein the program executes the job control method described above.
In the embodiment of the application, one or more regions to be detected in a target region are obtained; acquiring one or more to-be-detected areas in a target area; if the operation equipment performs operation in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment; judging whether the operation data meet a preset condition, if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area. The technical effects that the non-operation area in the target area is determined through analysis of the operation data of the operation equipment, the non-operation area is subjected to supplementary spraying, and the operation accuracy is improved are achieved. Therefore, the technical problem that whether the spraying is missed or not is determined by the moving track of the operation equipment, and the accuracy is low is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow chart diagram of an alternative job control method according to an embodiment of the present application;
FIG. 2a is a display view of an alternative target area according to an embodiment of the present application;
FIG. 2b is a display of an optionally marked target area according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a job control apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present application, there is provided a job control method embodiment, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a schematic flow chart of a job control method according to an embodiment of the present application, and as shown in fig. 1, the method at least includes the following steps:
step S102, acquiring one or more to-be-detected areas in a target area;
in some alternative embodiments of the present application, the target area is a selected crop area, such as a field. Before acquiring one or more regions to be detected in the target region, the target region needs to be divided into one or more regions.
Step S104, if the operation equipment works in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment;
in some optional embodiments of the present application, the work device is a drone, or a work machine such as an unmanned vehicle. The working device is a working system of the working equipment. The operation object can be operation materials such as pesticide, grain seeds, chemical fertilizer and the like.
Step S106, judging whether the operation data meet a preset condition, if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area.
The first non-working area may be an area where the working equipment needs to perform the supplementary working, and the working area may be an area where the supplementary working is not needed.
In some optional embodiments of the present application, the predetermined condition is: the on-off state of the working device is an off state, and/or the spraying flow rate of the working object in the working equipment is less than the preset flow rate.
When the switch state of the operation device is closed, the operation device indicates that the operation device does not spray a pesticide to a corresponding region to be detected when passing through the region, and the region belongs to a spray leakage region; when the spraying flow rate of an operation object in the operation equipment is smaller than the preset flow rate, the operation equipment indicates that even if spraying is carried out in the corresponding area to be detected, under the condition that the flight speed of the operation equipment meets the requirement, if the spraying flow rate of the pesticide is smaller than the preset flow rate, the area is less in spraying amount, and supplementary spraying is still needed.
In some optional embodiments of the present application, after determining that the region to be detected is the first non-working region in the above steps, the following steps are further performed: acquiring position information corresponding to a first non-operation area; and sending prompt information to the terminal, wherein the prompt information is used for prompting the supplement operation of the first non-operation area, and the prompt information comprises position information.
In the embodiment of the application, when the operation equipment operates in the area to be detected, the intelligent equipment stores the longitude and latitude information in the operation process and the operation data of the corresponding operation equipment at different longitude and latitude positions.
The longitude and latitude information of the operation equipment in the operation process corresponds to the operation data one by one; after the first non-working area is determined, the position information corresponding to the working equipment in the first non-working area can be determined according to the stored corresponding relation between the latitude and longitude information and the working data.
After the position information corresponding to the first non-operation area is determined, the intelligent device sends prompt information to the terminal, wherein the intelligent device can be an intelligent device in the unmanned aerial vehicle or a cloud server. The terminal can be a farmer terminal, also can be unmanned aerial vehicle administrator's terminal, and the reminder information can be for the suggestion of characters, or voice prompt.
In some optional embodiments of the present application, before the position information corresponding to the first non-working area is obtained, the following steps are further performed: acquiring a second non-operation area, wherein the second non-operation area is all areas except the operated area in the target area; and judging whether the target crops exist in the second unoperated area, if so, determining that the second unoperated area is the first unoperated area, and if not, determining that the second unoperated area is not the first unoperated area.
In some optional embodiments of the present application, determining whether the target crop is present in the second non-working area may be performed by: the unmanned aerial vehicle shoots a target area, and judges whether crop information is contained in a second non-operation area in the shot image or not. It should be noted that the second non-working area may include an area where the target crop is not planted, so that it is necessary to determine whether the target agricultural chemical is present in the second non-working area before determining whether the first non-working area where the supplementary spraying is required is determined, and when the target crop is present, it is determined whether the supplementary spraying is performed.
In some optional embodiments of the present application, after determining whether the job data satisfies the predetermined condition, the following steps S1002 to S1004 are further executed:
step S1002, constructing a display diagram, wherein the display diagram comprises: one or more grids of the same size, the grids corresponding to the regions in the target region one-to-one;
in some optional embodiments of the application, the presentation graph is as shown in fig. 2a, the arabic data indicates that coordinates are constructed for the presentation graph, fig. 2a divides the target area into 16 × 16 areas, and each area is respectively represented by a corresponding grid, where an origin of the coordinates may correspond to position information of a corner of the target area, and may also correspond to position information where the unmanned aerial vehicle is currently located. In the display diagram, the number of grids is related to the size of the storage space of the device for storing the display diagram, and the larger the storage space is, the more grids the display diagram can be divided into. The device for storing the display map can be a user terminal or a remote controller.
Step S1004, the grid is marked using marking information, wherein first marking information of the grid corresponding to the worked area is different from second marking information of the grid corresponding to the first non-worked area.
In some optional embodiments of the present application, the marking information may be color information of a grid, and fig. 2b is a display diagram corresponding to the target area and including the marking information; in fig. 2b, the arabic data also indicates that coordinates are constructed for the display chart, the grid with black marking information is a grid corresponding to the operated area, and the grid with white marking information is a grid corresponding to the first non-operated area, for example: in fig. 2b, both the area "1" and the area "2" marked with white information are the first no-operation areas.
The marks of the grids in the display map can be used for a plant protection manager or a farmer to plan the operation path when the supplementary operation is performed on the first non-operation area pair according to the display map.
In some optional embodiments of the present application, after the position information corresponding to the first non-working area is obtained, the following steps are further performed: determining the area of the first non-operation area according to the position information; and determining the amount to be sprayed of the operation object based on the area.
In some optional embodiments of the present application, determining the amount to be sprayed of the operation object based on the area may be implemented by inputting the area into a preset model for analysis, to obtain the amount to be sprayed of the operation object corresponding to the area, where the preset model is obtained by training multiple sets of data, and each set of data in the multiple sets of data includes: the area size of the sample and the amount to be sprayed corresponding to the area size of the sample are marked.
In the embodiment of the application, one or more regions to be detected in a target region are obtained; if the operation equipment works in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment; if the operation data meet the preset conditions, determining that the area to be detected is a first non-operation area; and if the operation data does not meet the preset conditions, determining that the area to be detected is the operated area. The technical effects that the non-operation area in the target area is determined through analysis of the operation data of the operation equipment, the non-operation area is subjected to supplementary spraying, and the operation accuracy is improved are achieved. Therefore, the technical problem that whether the spraying is missed or not is determined by the moving track of the operation equipment, and the accuracy is low is solved.
Fig. 3 is a schematic structural diagram of a job control apparatus according to an embodiment of the present application, the apparatus including at least: the first obtaining module 32, the second obtaining module 34, and the determining module 36, wherein:
a first obtaining module 32, configured to obtain one or more regions to be detected in a target region; if the operation equipment works in the area to be detected;
in some alternative embodiments of the present application, the target area is a selected crop area, such as a field.
A second obtaining module 34, configured to obtain job data of a job device if the job device performs a job in the area to be detected, where the job data includes at least one of: the on-off state of the working device and the spraying flow rate of the working object in the working equipment;
in some optional embodiments of the present application, the work device is a drone, or a work machine such as an unmanned vehicle. The working device is a working system of the working equipment. The operation object can be operation materials such as pesticide, grain seeds, chemical fertilizer and the like.
A judging module 36, configured to judge whether the operation data meets a predetermined condition, and if yes, determine that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area.
The first non-working area may be an area where the working equipment needs to perform the supplementary working, and the working area may be an area where the supplementary working is not needed. In some optional embodiments of the present application, the predetermined condition is: the on-off state of the working device is an off state, and/or the spraying flow rate of the working object in the working equipment is less than the preset flow rate.
It should be noted that, reference may be made to the description related to the embodiment shown in fig. 1 for a preferred implementation of the embodiment shown in fig. 3, and details are not described here again.
According to another aspect of an embodiment of the present application, there is also provided a storage medium including a program for storing a program that performs the functions of:
acquiring one or more to-be-detected areas in a target area;
if the operation equipment performs operation in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment;
judging whether the operation data meet a preset condition, if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area.
According to another aspect of the embodiments of the present application, there is also provided a processor for executing a program, where the program executes to perform the following functions:
acquiring one or more to-be-detected areas in a target area;
if the operation equipment performs operation in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment;
judging whether the operation data meet a preset condition, if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit may be a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (8)
1. An operation control method, comprising:
acquiring one or more to-be-detected areas in a target area;
if the operation equipment performs operation in the area to be detected, acquiring operation data of the operation equipment, wherein the operation data comprises at least one of the following data: the on-off state of the working device and the spraying flow rate of the working object in the working equipment;
judging whether the operation data meet a preset condition, if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area; the preset conditions comprise that the on-off state of the operation device is an off state, and/or the spraying flow rate of an operation object in the operation equipment is less than a preset flow rate;
determining the area of the first non-operation area according to the position information, and determining the amount to be sprayed of the operation object based on the area;
determining the amount to be sprayed of the operation object based on the area, comprising the following steps: inputting the area into a preset model for analysis to obtain the spraying amount of the operation object corresponding to the area, wherein the preset model is obtained by training a plurality of groups of data, and each group of data in the plurality of groups of data comprises: the area size of the sample and the amount to be sprayed corresponding to the area size of the sample are marked.
2. The method according to claim 1, wherein after determining that the area to be detected is a first non-operational area, the method further comprises:
acquiring position information corresponding to the first non-operation area;
and sending prompt information to a terminal, wherein the prompt information is used for prompting the supplement operation of the first non-operation area, and the prompt information comprises the position information.
3. The method of claim 1, wherein prior to acquiring one or more regions to be detected in the target region, comprising:
the target area is divided into one or more areas.
4. The method according to claim 1, wherein after determining whether the job data satisfies a predetermined condition, the method further comprises:
constructing a presentation graph, the presentation graph comprising: one or more grids of the same size, the grids corresponding one-to-one with regions in the target region;
and marking the grids by using marking information, wherein the first marking information of the grid corresponding to the operated area is different from the second marking information of the grid corresponding to the first non-operated area.
5. The method according to claim 2, wherein before acquiring the position information corresponding to the first non-working area, the method further comprises:
acquiring a second non-operation area, wherein the second non-operation area is all areas except the operated area in the target area;
and judging whether the target crops exist in the second unoperated area, if so, determining that the second unoperated area is the first unoperated area, and if not, determining that the second unoperated area is not the first unoperated area.
6. An operation control device, characterized by comprising:
the first acquisition module is used for acquiring one or more to-be-detected areas in the target area;
a second obtaining module, configured to obtain job data of the job device if the job device performs a job in the area to be detected, where the job data includes at least one of: the on-off state of the working device and the spraying flow rate of the working object in the working equipment;
the judging module is used for judging whether the operation data meet a preset condition or not, and if so, determining that the area to be detected is a first non-operation area; if not, determining that the area to be detected is the operated area; the preset conditions comprise that the on-off state of the operation device is an off state, and/or the spraying flow rate of an operation object in the operation equipment is less than a preset flow rate;
the device is also used for determining the area of the first non-operation area according to the position information and determining the amount to be sprayed of the operation object based on the area;
the device is also used for inputting the area into a preset model for analysis to obtain the spraying amount of the operation object corresponding to the area, wherein the preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the area size of the sample and the amount to be sprayed corresponding to the area size of the sample are marked.
7. A storage medium characterized by comprising a stored program, wherein an apparatus on which the storage medium is located is controlled to execute the job control method according to any one of claims 1 to 5 when the program is executed.
8. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the job control method according to any one of claims 1 to 5 when running.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811460216.0A CN109507967B (en) | 2018-11-30 | 2018-11-30 | Operation control method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811460216.0A CN109507967B (en) | 2018-11-30 | 2018-11-30 | Operation control method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109507967A CN109507967A (en) | 2019-03-22 |
CN109507967B true CN109507967B (en) | 2021-12-03 |
Family
ID=65749953
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811460216.0A Active CN109507967B (en) | 2018-11-30 | 2018-11-30 | Operation control method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109507967B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111144788A (en) * | 2019-12-31 | 2020-05-12 | 广州极飞科技有限公司 | Hybrid operation method and related device |
CN112180987B (en) * | 2020-09-27 | 2024-02-20 | 广州极飞科技股份有限公司 | Collaborative operation method, collaborative operation system, collaborative operation device, collaborative operation computer equipment and collaborative operation storage medium |
CN112162572B (en) * | 2020-09-27 | 2023-01-06 | 深圳市优必选科技股份有限公司 | Epidemic prevention robot and disinfection control method and device thereof |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108500977A (en) * | 2017-01-09 | 2018-09-07 | 广东宝乐机器人股份有限公司 | A kind of control method for movement and robot of robot |
Family Cites Families (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9004378B2 (en) * | 2010-04-30 | 2015-04-14 | Summit Liability Solutions, Inc. | System and method for land application of waste fluids |
CN103412574B (en) * | 2013-08-23 | 2017-02-15 | 无锡汉和航空技术有限公司 | Job management device of unmanned helicopter |
CN104808660B (en) * | 2015-03-04 | 2017-10-03 | 中南大学 | Bumps mixing complex polygon farmland unmanned plane spraying operation path planning method |
CN105319969A (en) * | 2015-07-27 | 2016-02-10 | 李翔宇 | Unmanned aerial vehicle cooperative ground covering system |
US9740208B2 (en) * | 2015-07-30 | 2017-08-22 | Deere & Company | UAV-based sensing for worksite operations |
CN105222779B (en) * | 2015-08-26 | 2018-03-09 | 北京农业智能装备技术研究中心 | The path planning method and device of plant protection unmanned plane |
CN105173085B (en) * | 2015-09-18 | 2017-06-16 | 山东农业大学 | Unmanned plane variable farm chemical applying automatic control system and method |
CN105539851B (en) * | 2015-12-09 | 2017-06-20 | 华南农业大学 | Unmanned plane agricultural chemicals based on wireless sense network precisely sprays operating system and method |
CN105667760A (en) * | 2016-03-12 | 2016-06-15 | 李遗 | Super-low-altitude remote control flight plant protection machine |
CN106227236A (en) * | 2016-09-27 | 2016-12-14 | 华南农业大学 | Unmanned plane aquaculture accurate water transfer operating system based on wireless sense network and method |
CN106503433A (en) * | 2016-10-18 | 2017-03-15 | 广州极飞科技有限公司 | Sprinkling area determination method and device based on unmanned machine operation |
CN106996766B (en) * | 2017-03-01 | 2019-06-14 | 北京农业智能装备技术研究中心 | A kind of airplane spray state monitoring apparatus and aircraft spraying medicine working area metering system |
CN107200130B (en) * | 2017-04-19 | 2024-03-22 | 江苏大学 | Intelligent pesticide spraying aircraft and method |
CN107909241A (en) * | 2017-10-09 | 2018-04-13 | 武汉导航与位置服务工业技术研究院有限责任公司 | Dispatching method, device, equipment and the readable storage medium storing program for executing of agricultural machinery key element |
CN107909503A (en) * | 2017-10-09 | 2018-04-13 | 武汉导航与位置服务工业技术研究院有限责任公司 | Agricultural machinery working monitoring and managing method, device, equipment and readable storage medium storing program for executing |
CN107933921B (en) * | 2017-10-30 | 2020-11-17 | 广州极飞科技有限公司 | Aircraft, spraying route generation and execution method and device thereof, and control terminal |
CN108896048A (en) * | 2018-06-01 | 2018-11-27 | 浙江亚特电器有限公司 | Paths planning method for mobile carrier |
-
2018
- 2018-11-30 CN CN201811460216.0A patent/CN109507967B/en active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108500977A (en) * | 2017-01-09 | 2018-09-07 | 广东宝乐机器人股份有限公司 | A kind of control method for movement and robot of robot |
Also Published As
Publication number | Publication date |
---|---|
CN109507967A (en) | 2019-03-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109507967B (en) | Operation control method and device | |
Martinez-Guanter et al. | Spray and economics assessment of a UAV-based ultra-low-volume application in olive and citrus orchards | |
US9740208B2 (en) | UAV-based sensing for worksite operations | |
CN105173085B (en) | Unmanned plane variable farm chemical applying automatic control system and method | |
CN109446959B (en) | Target area dividing method and device and medicine spraying control method | |
US8265835B2 (en) | Method and system for preventing herbicide application to non-tolerant crops | |
US11375655B2 (en) | System and method for dispensing agricultural products into a field using an agricultural machine based on cover crop density | |
CN107933921A (en) | Aircraft and its sprinkling Route Generation and execution method, apparatus, control terminal | |
CN108541683A (en) | A kind of unmanned plane pesticide spraying system based on convolutional neural networks chip | |
CN109407701B (en) | Method, system and device for controlling operation | |
CN109409275B (en) | Target object identification method and device, and drug delivery information determination method | |
US12004443B2 (en) | Payload selection to treat multiple plant objects having different attributes | |
CN111459183B (en) | Operation parameter recommendation method and device, unmanned equipment and storage medium | |
US20140021267A1 (en) | System and method for crop thinning with fertilizer | |
CN110140704A (en) | A kind of intelligent pesticide spraying method and system for plant protection drone | |
JP2010104292A (en) | Tending system for agriculture | |
CN110188661B (en) | Boundary identification method and device | |
CN109062171A (en) | Unmanned plane plant protection operation control method, system, device and storage medium | |
CN210503198U (en) | Double-cavity medicine box capable of being carried on unmanned aerial vehicle and spraying operation device based on medicine box | |
JP7075171B2 (en) | Computer systems, pest detection methods and programs | |
US20210323015A1 (en) | System and method to monitor nozzle spray quality | |
JP2023554240A (en) | Methods and systems for pollination | |
KR20200067638A (en) | Distributing system using agricultural drones | |
CA3224125A1 (en) | Targeted treatment of specific weed species with multiple treatment devices | |
US20210390284A1 (en) | System and method for identifying objects present within a field across which an agricultural vehicle is traveling |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information | ||
CB02 | Change of applicant information |
Address after: 510000 Block C, 115 Gaopu Road, Tianhe District, Guangzhou City, Guangdong Province Applicant after: Guangzhou Jifei Technology Co.,Ltd. Address before: 510000, No. 1, Cheng Cheng Road, Gaotang Software Park, Guangzhou, Guangdong, Tianhe District, 3A01 Applicant before: Guangzhou Xaircraft Technology Co.,Ltd. |
|
GR01 | Patent grant | ||
GR01 | Patent grant |