CN106485429B - Unmanned aerial vehicle operation scheduling method and device - Google Patents
Unmanned aerial vehicle operation scheduling method and device Download PDFInfo
- Publication number
- CN106485429B CN106485429B CN201610941907.7A CN201610941907A CN106485429B CN 106485429 B CN106485429 B CN 106485429B CN 201610941907 A CN201610941907 A CN 201610941907A CN 106485429 B CN106485429 B CN 106485429B
- Authority
- CN
- China
- Prior art keywords
- block
- blocks
- unmanned aerial
- aerial vehicle
- attribute
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
Abstract
The invention provides an unmanned aerial vehicle operation scheduling method, belongs to the technical field of unmanned aerial vehicles, and is used for solving the problem that the operation efficiency of an unmanned aerial vehicle is reduced in the unmanned aerial vehicle operation scheduling method in the prior art. The method comprises the following steps: acquiring a plurality of adjacent operation blocks obtained after an unmanned aerial vehicle operation area is divided; determining the job attribute of each job block according to the acquired weather data, wherein the job attribute is used for indicating whether the job block can be operated or not; and finally, scheduling the unmanned aerial vehicle to operate the operation block. According to the embodiment of the invention, the operation block capable of being operated is determined according to the weather data, and the unmanned aerial vehicle is only dispatched to the operation block capable of being operated to execute the operation, so that the problem that the unmanned aerial vehicle needs to be rescheduled after being dispatched to the operation block incapable of being operated in the operation process is avoided, and the operation efficiency of the unmanned aerial vehicle is improved.
Description
Technical Field
The invention relates to the technical field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle operation scheduling method and device.
Background
Along with the continuous development of unmanned aerial vehicle technique, unmanned aerial vehicle operation field is increasing gradually, like plant protection field, aerial survey field. For large-area operation, such as operation of aerial survey on a large-scale area (e.g. a county area), because of the limitation of energy supply, the single-flight operation area of the unmanned aerial vehicle can only cover about 500-1000 mu, before the operation, the scheduling system will generally divide the operation area into thousands of regular rectangular or square operation blocks, so as to schedule the unmanned aerial vehicle to perform the operation. Generally, before the unmanned aerial vehicle works, the scheduling system selects a plurality of work blocks near one work site according to the workload of the unmanned aerial vehicle for 1 day to allocate to a certain unmanned aerial vehicle or a plurality of unmanned aerial vehicles for working. Because unmanned aerial vehicle is when carrying out the operation, weather factors such as wind-force, rainfall and the temperature of operational environment can produce harmful effects to the operation effect, when the unsuitable operation of operation piece weather condition, need schedule unmanned aerial vehicle temporarily to the operation piece that the weather condition is fit for the operation and carry out the operation, seriously reduced unmanned aerial vehicle's operating efficiency.
Therefore, the unmanned aerial vehicle operation scheduling method in the prior art at least has the problem of reducing the operation efficiency of the unmanned aerial vehicle.
Disclosure of Invention
The embodiment of the invention provides an unmanned aerial vehicle operation scheduling method, which solves the problem that the unmanned aerial vehicle operation scheduling method in the prior art reduces the operation efficiency of an unmanned aerial vehicle.
In a first aspect, an embodiment of the present invention provides an unmanned aerial vehicle job scheduling method, including:
acquiring a plurality of adjacent operation blocks obtained after an unmanned aerial vehicle operation area is divided;
determining a job attribute of each job block according to the acquired weather data, wherein the job attribute is used for indicating whether the job block can be operated or not;
and scheduling the unmanned aerial vehicle to operate the operation block capable of operating.
In a second aspect, an embodiment of the present invention further provides an unmanned aerial vehicle operation scheduling apparatus, including:
the operation block acquisition module is used for acquiring a plurality of adjacent operation blocks obtained after the operation area of the unmanned aerial vehicle is divided;
the operation attribute determining module is used for determining the operation attribute of each operation block acquired by the operation block acquiring module according to the acquired weather data, wherein the operation attribute is used for indicating whether the operation block can be operated;
and the scheduling module is used for scheduling the unmanned aerial vehicle to operate the operation block.
In this way, the unmanned aerial vehicle operation scheduling method disclosed by the embodiment of the invention obtains a plurality of adjacent operation blocks obtained after the unmanned aerial vehicle operation area is divided; determining a job attribute of each job block according to the acquired weather data, wherein the job attribute is used for indicating whether the job block can be operated or not; and finally, the unmanned aerial vehicle is dispatched to operate the operation block which can operate, so that the problem that the operation efficiency of the unmanned aerial vehicle is reduced in the unmanned aerial vehicle operation dispatching method in the prior art is solved. According to the embodiment of the invention, the operation block capable of being operated is determined according to the weather data, and the unmanned aerial vehicle is only dispatched to the operation block capable of being operated to execute the operation, so that the problem that the unmanned aerial vehicle needs to be rescheduled after being dispatched to the operation block incapable of being operated in the operation process is avoided, and the operation efficiency of the unmanned aerial vehicle is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of an unmanned aerial vehicle operation scheduling method according to a first embodiment of the present invention;
fig. 2 is a flowchart of an unmanned aerial vehicle operation scheduling method according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of the distribution of operation blocks according to the second embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating the distribution of operation blocks according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of an unmanned aerial vehicle operation scheduling apparatus according to a third embodiment of the present invention;
fig. 6 is a second schematic structural diagram of an unmanned aerial vehicle operation scheduling device according to a third embodiment of the present invention;
fig. 7 is a third schematic structural diagram of an unmanned aerial vehicle operation scheduling device according to a third embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. 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 invention.
The first embodiment is as follows:
as shown in fig. 1, an embodiment of the present invention discloses an unmanned aerial vehicle operation scheduling method, including: step 100 to step 120.
And step 100, acquiring a plurality of adjacent operation blocks obtained after the unmanned aerial vehicle operation area is divided.
Before large-area operation, the unmanned aerial vehicle scheduling system generally divides an operation area into thousands of regular rectangular or square operation blocks so as to schedule the unmanned aerial vehicle to execute the operation. In the specific division, the work area may be divided into a plurality of adjacent work blocks in order of division from left to right and from top to bottom. Typically, the size of each work block is determined by the workable area of a single flight of the drone.
And step 110, determining the job attribute of each job block according to the acquired weather data, wherein the job attribute is used for indicating whether the job block can be operated.
Weather data may be obtained by a meteorological system. During specific implementation, the unmanned aerial vehicle operation scheduling system acquires the weather data of an operation area through calling an interface of the meteorological system. The format of the weather data is generally: the position coordinates of a certain geographic area and weather information of each time period of the geographic area, such as: north latitude 39 ° 26 'to 41 ° 03', east longitude 115 ° 25 'to 117 ° 30': 6, the weather is clear, and breeze is 1 grade; north latitude 39 ° 26 'to 41 ° 03', east longitude 115 ° 25 'to 117 ° 30': 7 points, cloudy, breeze 3 level; north latitude 41 ° 04 'to 41 ° 03', east longitude 115 ° 25 'to 117 ° 30': 6, the weather is clear, and breeze is 3 grades; north latitude 41 ° 04 'to 41 ° 03', east longitude 115 ° 25 'to 117 ° 30': 7 points, light rain, precipitation probability of 60%, precipitation amount of 10mm and the like. The format of the weather data may also be processed according to geographical coordinates of provinces, cities and regions, and the weather information of each region in each city in each time period is usually: the market of Beijing facing the sun: 6, the product is cloudy at a point, and breeze is 2-level; the market of Beijing facing the sun: 7 points of light rain, 3 grades of breeze, 1 mm rainfall and the like.
The unmanned aerial vehicle dispatching system determines the regions in the meteorological system corresponding to each divided operation block according to the map data acquired in advance, and sets the meteorological information of a certain operation block to be the same as the meteorological information of the corresponding regions in the meteorological system corresponding to the operation block. The weather information includes: weather phenomena such as sunny, cloudy, light rain, medium rain, heavy rain, breeze, hail, fog, snow and the like, and also weather indexes of various weather phenomena such as rainfall, wind speed, wind power level and the like. And then, determining the operation attribute of each operation block according to a preset meteorological index range of unmanned aerial vehicle operation. When the meteorological index of a certain operation block is within the preset meteorological index range of the unmanned aerial vehicle operation, the operation block is considered to be suitable for the unmanned aerial vehicle operation, and the operation attribute of the operation block is confirmed to be operable. When the meteorological index of a certain operation block is out of the preset meteorological index range of the unmanned aerial vehicle operation, the operation block is considered to be not suitable for the unmanned aerial vehicle operation, and the operation attribute of the operation block is confirmed to be inoperable.
And 120, scheduling the unmanned aerial vehicle to operate the operation block capable of operating.
Then, the unmanned aerial vehicle is scheduled to operate on the operation block of which the operation attribute is indicated as operable. In specific implementation, in order to improve the operation efficiency of the unmanned aerial vehicle, adjacent operation blocks capable of being operated are divided into a group, and then one operation block group is allocated to one unmanned aerial vehicle to execute operation. Or, according to the distance between the operation blocks, the operation blocks capable of being operated are divided into a plurality of operation block groups, and then one operation block group is allocated to one unmanned aerial vehicle to execute the operation.
According to the unmanned aerial vehicle operation scheduling method disclosed by the embodiment of the invention, a plurality of adjacent operation blocks obtained after an unmanned aerial vehicle operation area is divided are obtained; determining the job attribute of each job block according to the acquired weather data, wherein the job attribute is used for indicating whether the job block can be operated or not; and finally, the unmanned aerial vehicle is dispatched to operate the operation block which can operate, so that the problem that the operation efficiency of the unmanned aerial vehicle is reduced in the unmanned aerial vehicle operation dispatching method in the prior art is solved. According to the embodiment of the invention, the operation block capable of being operated is determined according to the weather data, and the unmanned aerial vehicle is only dispatched to the operation block capable of being operated to execute the operation, so that the problem that the unmanned aerial vehicle needs to be rescheduled after being dispatched to the operation block incapable of being operated in the operation process is avoided, and the operation efficiency of the unmanned aerial vehicle is improved.
Example two:
as shown in fig. 2, an embodiment of the present invention discloses an unmanned aerial vehicle operation scheduling method, including: step 200 to step 250.
And 200, acquiring a plurality of adjacent operation blocks obtained after the unmanned aerial vehicle operation area is divided.
Before large-area operation, the unmanned aerial vehicle scheduling system generally divides an operation area into thousands of regular rectangular or square operation blocks so as to schedule the unmanned aerial vehicle to execute the operation. In the specific division, the work area may be divided into a plurality of adjacent work blocks in order of division from left to right and from top to bottom. Typically, the size of each work block is determined by the workable area of a single flight of the drone.
Determining the job attributes of the job block according to the acquired weather data, wherein the job attributes comprise: determining the meteorological index of each operation block according to the acquired weather data; if the meteorological index is within a preset flyable range, determining the operation attribute of the operation block as operable; otherwise, determining the operation attribute of the operation block as an inoperable operation.
Weather data may be obtained by a meteorological system. In specific implementation, the specific method for acquiring weather data and determining the job attribute of each job block according to the acquired weather data is referred to in the embodiments, and details are not repeated here.
In this embodiment, with the meteorological index of preset unmanned aerial vehicle operation include: the determination of the job attributes of each of the job blocks based on the acquired weather data is explained in detail by taking wind speed and rainfall as examples. During specific implementation, the preset meteorological indexes of the unmanned aerial vehicle operation include but are not limited to: the wind speed and the rainfall can also be meteorological indexes of weather phenomena such as wind power level, fog, snow and the like.
During specific implementation, the preset flying range of the meteorological indexes of unmanned aerial vehicle operation needs to be set. In this embodiment, the flying range of the meteorological index is: wind speed of 0 to 3 m/s and rainfall of 0 to 5 mm are exemplified.
Assuming that the scheduling system divides the job area into 16 job blocks as shown in fig. 3 in the present embodiment, for convenience of subsequent program processing, the divided job blocks may be numbered sequentially in the order of division from left to right, from top to bottom, as in job block 1 (301 in fig. 3) to job block 16 in fig. 3. Then, the unmanned aerial vehicle job scheduling system obtains weather data of the job area from the meteorological system. In this embodiment, the format of the weather data of the weather system is generally: the position coordinates of a certain geographic area and the weather information of each time period of the geographic area are taken as examples. Firstly, determining a geographical block corresponding to each operation block according to the position coordinates of the geographical blocks in the weather data; then, the weather information of the geographic area corresponding to the operation area is used as the weather information of the operation area. When the geographical area corresponding to each operation block is determined according to the position coordinates of the geographical area in the weather data, the unmanned aerial vehicle operation scheduling system can obtain the position coordinates of each divided operation block according to a locally stored map, and then the geographical area in the weather data corresponding to each operation block can be determined through position coordinate matching. In specific implementation, the size of the operation block and the size of the geographic area in the weather data may be different, and when a certain operation block spans two geographic areas, the operation block may be corresponding to the geographic area with the largest overlapping area.
Then, the weather information of the geographic area corresponding to the operation block is used as the weather information of the operation block. For example, the obtained weather information of each of 16 work blocks is: work block 1 (wind speed 3 m/s, rainfall 0 mm), work block 2 (wind speed 3 m/s, rainfall 0 mm), work block 3 (wind speed 3 m/s, rainfall 0 mm), work block 4 (wind speed 2 m/s, rainfall 1 mm), work block 5 (wind speed 4 m/s, rainfall 0 mm), work block 6 (wind speed 5 m/s, rainfall 0 mm), work block 7 (wind speed 4 m/s, rainfall 0 mm), work block 8 (wind speed 4 m/s, rainfall 0 mm), work block 9 (wind speed 2 m/s, rainfall 30 mm), work block 10 (wind speed 2 m/s, rainfall 10mm, 10 mm) Work block 12 (wind speed 2 m/s, rainfall 0 mm), work block 13 (wind speed 3 m/s, rainfall 0 mm), work block 14 (wind speed 3 m/s, rainfall 0 mm), work block 15 (wind speed 3 m/s, rainfall 0 mm), and work block 16 (wind speed 3 m/s, rainfall 0 mm).
After determining the meteorological index of each operation block, respectively comparing the meteorological index of each operation block with a preset meteorological index flyable range, and if the meteorological index is in the preset flyable range, determining the operation attribute of the operation block as workable; and if the meteorological index is not in the preset flyable range, determining that the operation attribute of the operation block is inoperable. The job attributes of each job block are set separately according to the comparison results, and the obtained results are shown in fig. 4. The job attributes of the job blocks 1, 2, 3, and 4 are job-enabled, the job attributes of the job blocks 5, 6, 7, 8, 9, 10, and 11 are job-disabled, and the job attributes of the job blocks 12, 13, 14, 15, and 16 are job-enabled.
And step 220, scheduling the unmanned aerial vehicle to operate the operation block capable of operating.
The dispatch unmanned aerial vehicle is to can the operation piece carries out the operation, includes: sequentially traversing the plurality of adjacent operation blocks, and dividing the continuously adjacent and operable operation blocks into a group to obtain at least one operation block group; and dispatching the unmanned aerial vehicle to respectively operate each operation block group.
In specific implementation, in order to improve the operation efficiency of the unmanned aerial vehicle, adjacent operation blocks capable of being operated are divided into a group, and then one operation block group is allocated to one unmanned aerial vehicle to execute operation. For example, the acquired plurality of adjacent job blocks may be first numbered sequentially in an order from left to right and from top to bottom, and the job attributes may be set, as shown in fig. 4. And then, sequentially traversing the plurality of adjacent operation blocks according to the arrangement sequence from left to right and from top to bottom. Such as: from the operation block 1, sequentially traversing all the operation blocks (such as the operation block 1, the operation block 2, the operation block 3, the operation block 4 and the operation block 5 … …) from left to right and from top to bottom until the operation block (such as the operation block 5) with the first operation attribute of non-operation is traversed, and dividing all the operation blocks (including the operation block 1, the operation block 2, the operation block 3 and the operation block 4) with the operation attribute of the current traversal into a group (such as the operation block group 1). Thereafter, the subsequent job blocks (e.g., job block 6, job block 7, job block 8, … …) are traversed successively until the first job block (e.g., job block 12) whose job attribute is workable is traversed. The subsequent job blocks (e.g., job block 12, job block 13, job block 14, … …) are traversed sequentially from the job block that can be operated on again (e.g., job block 12) until the first job block whose job attribute is not operable is traversed or all job blocks are traversed. Through successive traversal, at least one operation block group can be obtained, such as: in this embodiment, two operation block groups are obtained: the operation block group 1 and the operation block group 2 fill the area as shown by the oblique lines in fig. 4. And finally, scheduling the unmanned aerial vehicle to respectively operate on each operation block group, such as scheduling No. 1 unmanned aerial vehicle to go to the operation block group 1 to execute operation, and scheduling No. 2 unmanned aerial vehicle to go to the operation block group 2 to execute operation.
Optionally, after sequentially traversing the plurality of adjacent operation blocks, dividing the continuously adjacent and operable operation blocks into a group, and obtaining at least one operation block group, before the unmanned aerial vehicle is scheduled to perform operations on each operation block group, the scheduling method further includes: displaying a preview interface of the operation block group; and adjusting the operation blocks in each operation block group according to the operation of the user on the preview interface. For example, a preview interface of the generated job block group is displayed on a display screen of the unmanned aerial vehicle dispatching system, such as the interface shown in fig. 4. Then, the user can operate on a display screen of the unmanned aerial vehicle dispatching system, and the operation block group is adjusted by dragging the boundary of the operation block group displayed on the interface or modifying the operation block list contained in the operation block group. And the unmanned aerial vehicle operation scheduling system adjusts the operation blocks in each operation block group according to the dragging operation or setting of the user on the preview interface.
In step 230, weather data is obtained in real time.
In the process of executing operation by the unmanned aerial vehicle, the unmanned aerial vehicle dispatching system acquires weather data in real time. The specific implementation of acquiring the weather data is the same as the specific implementation of acquiring the weather data before the unmanned aerial vehicle scheduling system schedules the unmanned aerial vehicle to execute the operation, and details are not repeated here.
And 240, determining the predicted job attribute of each job block capable of working according to the acquired weather data.
Then, according to the acquired weather data, the job attribute of each job block capable of being operated is predicted, and the predicted job attribute of each job block capable of being operated is obtained. Referring to step 210, details of the specific implementation of predicting the job attribute of each workable block according to the obtained weather data are not described here. By prediction, the predicted job attribute of the job block in each job block group is used to indicate that the job block is: either operable or inoperable.
And 250, when the predicted operation attribute indicates that the operation block cannot operate, giving an alarm for prompting.
When the predicted job attribute of a job block in the job block group is found to be non-job, for example: the weather information of a certain operation block indicates that 10mm rainfall will occur in the future of 1 hour of the operation block, and then the unmanned aerial vehicle dispatching system gives an alarm prompt to remind an operator to prepare in time. In specific implementation, the alarm prompting mode may be as follows: and red point flashing is carried out at the position of the preview interface of the operation block group corresponding to the operation block, and a message is sent to field operators. The invention does not limit the specific alarm prompting mode.
According to the unmanned aerial vehicle operation scheduling method disclosed by the embodiment of the invention, a plurality of adjacent operation blocks obtained after an unmanned aerial vehicle operation area is divided are obtained; determining the job attribute of each job block according to the acquired weather data, wherein the job attribute is used for indicating whether the job block can be operated or not; and finally, the unmanned aerial vehicle is dispatched to operate the operation block which can operate, so that the problem that the operation efficiency of the unmanned aerial vehicle is reduced in the unmanned aerial vehicle operation dispatching method in the prior art is solved. According to the embodiment of the invention, the operation block capable of being operated is determined according to the weather data, and the unmanned aerial vehicle is only dispatched to the operation block capable of being operated to execute the operation, so that the problem that the unmanned aerial vehicle needs to be rescheduled after being dispatched to the operation block incapable of being operated in the operation process is avoided, and the operation efficiency of the unmanned aerial vehicle is improved. After the operation blocks are grouped, the unmanned aerial vehicle is scheduled to execute the operation of a certain operation block group, so that the time wasted in the process of executing the operation by the unmanned aerial vehicle due to migration among the operation blocks can be further reduced, and the operation efficiency of the unmanned aerial vehicle is further improved. Through setting up operation block group editing and adjusting interface, supply the manual work of scheduling personnel to adjust the operation block group condition, improved the flexibility of unmanned aerial vehicle dispatch. Through the in-process at unmanned aerial vehicle execution operation, the weather variation of individual operation piece in the real-time supervision operation piece group to when the operation piece can not the operation condition, report to the police and indicate, further ensured operation security.
Example three:
as shown in fig. 5, an embodiment of the present invention discloses an unmanned aerial vehicle operation scheduling apparatus, including:
the operation block acquisition module 500 is configured to acquire a plurality of adjacent operation blocks obtained after the operation area of the unmanned aerial vehicle is divided;
a job attribute determining module 510, configured to determine, according to the obtained weather data, a job attribute of each job block obtained by the job block obtaining module 500, where the job attribute is used to indicate whether the job block is workable;
and the scheduling module 520 is used for scheduling the unmanned aerial vehicle to operate the operation block capable of operating.
For specific implementation of each module, refer to the first embodiment and the second embodiment, which are not described herein again.
The unmanned aerial vehicle operation scheduling device disclosed by the embodiment of the invention obtains a plurality of adjacent operation blocks obtained after the unmanned aerial vehicle operation area is divided; determining the job attribute of each job block according to the acquired weather data, wherein the job attribute is used for indicating whether the job block can be operated or not; and finally, the unmanned aerial vehicle is dispatched to operate the operation block which can operate, so that the problem that the operation efficiency of the unmanned aerial vehicle is reduced in the unmanned aerial vehicle operation dispatching method in the prior art is solved. According to the embodiment of the invention, the operation block capable of being operated is determined according to the weather data, and the unmanned aerial vehicle is only dispatched to the operation block capable of being operated to execute the operation, so that the problem that the unmanned aerial vehicle needs to be rescheduled after being dispatched to the operation block incapable of being operated in the operation process is avoided, and the operation efficiency of the unmanned aerial vehicle is improved.
Optionally, as shown in fig. 6, the scheduling module 520 includes:
the operation group dividing unit 5201 is configured to sequentially traverse the plurality of adjacent operation blocks, and divide consecutive adjacent operable operation blocks into a group to obtain at least one operation block group;
the scheduling unit 5202 is configured to schedule the unmanned aerial vehicle to perform operations on each of the operation block groups respectively.
Optionally, as shown in fig. 7, the scheduling module 520 further includes:
a display unit 5203, configured to display a preview interface of the job block group;
a job group adjusting unit 5204 is configured to adjust job blocks in each of the job block groups according to an operation of the user on the preview interface.
Optionally, as shown in fig. 7, the unmanned aerial vehicle job scheduling apparatus further includes:
a weather data updating module 530, configured to obtain weather data in real time;
a job attribute prediction module 540, configured to determine a predicted job attribute of each job block that can be operated according to the weather data acquired by the weather data update module 530;
and an alarm module 550, configured to perform an alarm prompt when the predicted job attribute indicates that the job block is not available for job.
In specific implementation, as shown in fig. 7, the job attribute determining module 510 includes:
a weather indicator obtaining unit 5101, configured to determine a weather indicator of each work block according to the obtained weather data;
the operation attribute determination unit 5102 is configured to determine that the operation attribute of the operation block is operable if the weather indicator is within a preset flyable range; otherwise, determining the operation attribute of the operation block as an inoperable operation.
According to the unmanned aerial vehicle operation scheduling device disclosed by the embodiment of the invention, the operation block capable of being operated is determined according to the weather data, and the unmanned aerial vehicle is only scheduled to the operation block capable of being operated to execute the operation, so that the problem that the unmanned aerial vehicle needs to be rescheduled after being scheduled to the operation block incapable of being operated in the operation process is avoided, and the operation efficiency of the unmanned aerial vehicle is improved. After the operation blocks are grouped, the unmanned aerial vehicle is scheduled to execute the operation of a certain operation block group, so that the time wasted in the process of executing the operation by the unmanned aerial vehicle due to migration among the operation blocks can be further reduced, and the operation efficiency of the unmanned aerial vehicle is further improved. Through setting up operation block group editing and adjusting interface, supply the manual work of scheduling personnel to adjust the operation block group condition, improved the flexibility of unmanned aerial vehicle dispatch. Through the in-process at unmanned aerial vehicle execution operation, the weather variation of individual operation piece in the real-time supervision operation piece group to when the operation piece can not the operation condition, report to the police and indicate, further ensured operation security.
The embodiment of the device and the method of the invention correspond, and the specific implementation of each module in the embodiment of the device is referred to the method as the embodiment, which is not described herein again.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be appreciated by those of ordinary skill in the art that in the embodiments provided herein, the units described as separate components may or may not be physically separate, may be located in one place, or may be distributed across multiple network elements. In addition, functional units in the embodiments of the present invention 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 functions, if implemented in the form of software functional units 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 invention can be embodied in the form of 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 according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art will appreciate that changes and substitutions without inventive step in the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. An unmanned aerial vehicle job scheduling method is characterized by comprising the following steps:
acquiring a plurality of adjacent operation blocks obtained after an unmanned aerial vehicle operation area is divided;
determining a job attribute of each job block according to the acquired weather data, wherein the job attribute is used for indicating whether the job block can be operated or not; the step of determining the job attribute of each job block according to the acquired weather data includes:
determining a geographical block corresponding to each operation block according to the position coordinates of the geographical blocks in the weather data; the operation blocks spanning the two geographic blocks correspond to the geographic block with the largest overlapping area;
taking the weather information of the geographic area corresponding to the operation block as the weather information of the operation block;
scheduling the unmanned aerial vehicle to operate the operation block capable of operating; the step of scheduling unmanned aerial vehicle to the operation that can do the operation piece carries out the operation includes:
sequentially traversing the plurality of adjacent operation blocks, and dividing the continuously adjacent and operable operation blocks into a group to obtain at least one operation block group;
scheduling the unmanned aerial vehicle to respectively operate each operation block group;
wherein, the step of sequentially traversing the plurality of adjacent operation blocks, dividing the continuous adjacent and operable operation blocks into a group, and obtaining at least one operation block group comprises:
sequentially traversing all the operation blocks until the operation block with the first operation attribute of non-operation is traversed, and dividing all the operation blocks with the operation attribute of the traversal into an operation block group;
then, sequentially traversing subsequent operation blocks continuously until the operation block with the first operation attribute as operable is traversed, and sequentially traversing the subsequent operation blocks continuously from the operable operation block again until the operation block with the first operation attribute as inoperable or all the operation blocks are traversed;
and at least one operation block group is obtained through sequential traversal.
2. The method of claim 1, wherein said step of sequentially traversing said plurality of contiguous blocks of operation to divide contiguous and operable blocks of operation into a group to obtain at least one group of blocks further comprises:
displaying a preview interface of the operation block group;
and adjusting the operation blocks in each operation block group according to the operation of the user on the preview interface.
3. The method of claim 1, wherein the step of scheduling the drone to work on the block of jobs that can be worked further comprises:
acquiring weather data in real time;
determining the predicted operation attribute of each operable operation block according to the acquired weather data;
and when the predicted operation attribute indicates that the operation block can not operate, performing alarm prompt.
4. The method of any one of claims 1 to 3, wherein determining job attributes for a job block from the acquired weather data comprises:
determining the meteorological index of each operation block according to the acquired weather data;
if the meteorological index is within a preset flyable range, determining the operation attribute of the operation block as operable; otherwise, determining the operation attribute of the operation block as an inoperable operation.
5. An unmanned aerial vehicle operation scheduling device which is characterized by comprising:
the operation block acquisition module is used for acquiring a plurality of adjacent operation blocks obtained after the operation area of the unmanned aerial vehicle is divided;
the operation attribute determining module is used for determining the operation attribute of each operation block acquired by the operation block acquiring module according to the acquired weather data, wherein the operation attribute is used for indicating whether the operation block can be operated;
the operation attribute determining module is used for determining the geographic area corresponding to each operation block according to the position coordinates of the geographic area in the weather data; the operation blocks spanning the two geographic blocks correspond to the geographic block with the largest overlapping area;
the operation attribute determining module is further configured to use weather information of a geographic area corresponding to the operation block as weather information of the operation block;
the scheduling module is used for scheduling the unmanned aerial vehicle to operate the operation block capable of operating;
the scheduling module includes:
the operation group dividing unit is used for sequentially traversing the plurality of adjacent operation blocks, dividing the continuously adjacent and operable operation blocks into a group and obtaining at least one operation block group;
the scheduling unit is used for scheduling the unmanned aerial vehicle to respectively perform operation on each operation block group;
the operation group dividing unit is specifically configured to sequentially traverse the plurality of adjacent operation blocks, divide the continuously adjacent and operable operation blocks into a group, and obtain at least one operation block group, and includes:
sequentially traversing all the operation blocks until the operation block with the first operation attribute of non-operation is traversed, and dividing all the operation blocks with the operation attribute of the traversal into an operation block group;
then, sequentially traversing subsequent operation blocks continuously until the operation block with the first operation attribute as operable is traversed, and sequentially traversing the subsequent operation blocks continuously from the operable operation block again until the operation block with the first operation attribute as inoperable or all the operation blocks are traversed;
and at least one operation block group is obtained through sequential traversal.
6. The apparatus of claim 5, wherein the scheduling module further comprises:
the display unit is used for displaying a preview interface of the operation block group;
and the operation group adjusting unit is used for adjusting the operation blocks in each operation block group according to the operation of the user on the preview interface.
7. The apparatus of claim 5, further comprising:
the weather data updating module is used for acquiring weather data in real time;
the operation attribute prediction module is used for determining the predicted operation attribute of each operable operation block according to the weather data acquired by the weather data updating module;
and the alarm module is used for giving an alarm prompt when the predicted operation attribute indicates that the operation block cannot operate.
8. The apparatus of any of claims 5 to 7, wherein the job attribute determination module comprises:
the weather index acquisition unit is used for determining the weather index of each operation block according to the acquired weather data;
the operation attribute judging and determining unit is used for determining the operation attribute of the operation block as operable if the meteorological index is in a preset flyable range; otherwise, determining the operation attribute of the operation block as an inoperable operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610941907.7A CN106485429B (en) | 2016-10-31 | 2016-10-31 | Unmanned aerial vehicle operation scheduling method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610941907.7A CN106485429B (en) | 2016-10-31 | 2016-10-31 | Unmanned aerial vehicle operation scheduling method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106485429A CN106485429A (en) | 2017-03-08 |
| CN106485429B true CN106485429B (en) | 2020-06-26 |
Family
ID=58271461
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610941907.7A Active CN106485429B (en) | 2016-10-31 | 2016-10-31 | Unmanned aerial vehicle operation scheduling method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106485429B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107153891B (en) * | 2017-05-10 | 2022-02-18 | 百度在线网络技术（北京）有限公司 | Region transfer scheduling method, device, equipment and storage medium |
| CN109324803A (en) * | 2017-07-27 | 2019-02-12 | 广州极飞科技有限公司 | The upgrade method and device of electron speed regulator, unmanned plane |
| CN109074097A (en) * | 2017-12-18 | 2018-12-21 | 深圳市大疆创新科技有限公司 | Method and apparatus for controlling unmanned plane |
| WO2020024226A1 (en) * | 2018-08-02 | 2020-02-06 | 广州极飞科技有限公司 | Route planning method and apparatus for plot operation, plot operation method and apparatus, and device and medium |
| CN110636447A (en) * | 2019-10-31 | 2019-12-31 | 江苏桂龙生物技术有限公司 | Plant protection unmanned aerial vehicle management system of management is cut apart to regionalization |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103823449B (en) * | 2014-03-07 | 2016-05-11 | 国家电网公司 | For Centralized Monitoring subsystem and the method for supervising of unmanned plane polling transmission line |
| CN103812052B (en) * | 2014-03-07 | 2016-06-01 | 国家电网公司 | A kind of for without the centralized monitoring system of man-machine polling transmission line and monitoring method |
| JP6174258B2 (en) * | 2014-09-30 | 2017-08-02 | エスゼット ディージェイアイ テクノロジー カンパニー リミテッドＳｚ Ｄｊｉ Ｔｅｃｈｎｏｌｏｇｙ Ｃｏ．，Ｌｔｄ | Flight instruction method, flight instruction device, and aircraft |
| KR101874091B1 (en) * | 2016-09-05 | 2018-07-03 | 에스케이테크엑스 주식회사 | Path guidance system of unmanned aerial vehicle using weather information, method thereof and computer readable medium having computer program recorded thereon |
| JP7048145B2 (en) * | 2016-11-04 | 2022-04-05 | Ｎｅｃソリューションイノベータ株式会社 | Unmanned aerial vehicle management equipment, unmanned aerial vehicle management methods, and programs |
-
2016
- 2016-10-31 CN CN201610941907.7A patent/CN106485429B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN106485429A (en) | 2017-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106485429B (en) | Unmanned aerial vehicle operation scheduling method and device | |
| CN107544540B (en) | Air route planning method applied to rotor unmanned aerial vehicle | |
| CN109522603B (en) | Vehicle-mounted Lagrange real-time atmospheric pollution source tracing system and method based on cloud platform | |
| CN103270781B (en) | Mobile device and for transmitting to the method and system of data | |
| CN107515003B (en) | Method for planning flight route of airplane for patrolling power transmission line | |
| EP3170166A1 (en) | Flight trajectory optimisation and visualisation tool | |
| US20120232785A1 (en) | Methods and systems for dynamically providing contextual weather information | |
| CN111781951A (en) | Industrial park monitoring and data visualization system based on cluster unmanned aerial vehicle | |
| US7158149B2 (en) | Map data transmitting method, map data transmitting apparatus, information device and map data transmitting system | |
| CN110796900A (en) | Fishing boat safety monitoring command system | |
| CN104089620A (en) | Data analysis-based automatic route programming method and system thereof | |
| JP5255857B2 (en) | Turbulence prediction system and turbulence prediction method | |
| CN103839408A (en) | Traffic accident auxiliary processing system and method | |
| CN111047491A (en) | Three-dimensional ice-blast command platform of preventing flowing | |
| CN112418556B (en) | Gridding service system based on Internet sharing platform | |
| JP2023015230A (en) | High-precision map generation method and device, electronic equipment and storage medium | |
| CN113590706A (en) | Visualization platform based on CIM | |
| CN115079710A (en) | Multi-unmanned aerial vehicle power inspection intelligent scheduling method and system | |
| JP2016075981A (en) | Information processor, terminal device, information processing method, and program | |
| CN115934868A (en) | Map data processing method and device | |
| CN109887293A (en) | A kind of integrative design intersection Time segments division method | |
| CN109710994A (en) | Airport obstacle limitation surface based on digital earth transfinites analysis method | |
| CN116757343A (en) | Traffic monitoring planning method and system for unmanned aerial vehicle cooperative mobile vehicle under waterlogging scene | |
| CN114219151B (en) | Self-adaptive universal aviation emergency rescue weather protection system | |
| Gruen | Next generation smart cities-the role of geomatics |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: 510000 No. 1, Si Cheng Road, Gaotang Software Park, Tianhe District, Guangzhou, Guangdong 3A01 Patentee after: Guangzhou Jifei Technology Co.,Ltd. Address before: No.3a01, No.1 Sicheng Road, Gaotang Software Park, Tianhe District, Guangzhou, Guangdong 510000 Patentee before: Guangzhou Xaircraft Technology Co.,Ltd. |
|
| CP02 | Change in the address of a patent holder | ||
| CP02 | Change in the address of a patent holder |
Address after: 510000 Block C, 115 Gaopu Road, Tianhe District, Guangzhou City, Guangdong Province Patentee after: Guangzhou Jifei Technology Co.,Ltd. Address before: No.3a01, No.1 Sicheng Road, Gaotang Software Park, Tianhe District, Guangzhou, Guangdong 510000 Patentee before: Guangzhou Jifei Technology Co.,Ltd. |