KR20200028651A - Service intermediate method for requiring operation of unmanned aircraft, system and computer readable medium for performing the service intermediate method - Google Patents

Abstract

According to an embodiment of the present invention, a service mediation method which requires operation of an unmanned aerial vehicle (UAV) may generate reference data by simulating a flight path of the UAV on 3D geographic information based on service information received from a service consumer terminal, select one pilot terminal according to a result of comparing the reference data with a plurality of flight data received and stored in advance from a plurality of pilot terminals, and match any one selected pilot terminal with the service consumer terminal.

Description

SERVICE INTERMEDIATE METHOD FOR REQUIRING OPERATION OF UNMANNED AIRCRAFT, SYSTEM AND COMPUTER READABLE MEDIUM FOR PERFORMING THE SERVICE INTERMEDIATE METHOD}

The present invention relates to a service intermediary method requiring operation of an unmanned aerial vehicle, a system and a recording medium for performing the same, and more specifically, between a pilot operating an unmanned aerial vehicle and a service consumer who requires the operation of an unmanned aerial vehicle It relates to a service intermediary method that requires the operation of an unmanned aerial vehicle that brokers a service transaction, a system and a recording medium for performing the same.

Unmanned Aerial Vehicles (UAVs) are usually pilots that do not board a vehicle, remotely control the aircraft via wireless communication from the ground, or fly autonomously according to a pre-entered program and perform tasks that are difficult for humans to do directly. It means a vehicle designed and manufactured to be able to. Unmanned aerial vehicles have been developed for military purposes in the early years, but recently, with the continuous development of technology, they have been widely used in various fields such as aerial photography, disaster / disaster monitoring, logistics transportation, and pesticide spraying.

In particular, due to the fact that unmanned aerial vehicles for agriculture can replace the problem of loss of work in rural areas due to the aging and low fertility problems, interest in agricultural unmanned aerial vehicles and agricultural technology using the same has been continuously increasing.

However, unmanned aerial vehicles performing tasks such as pesticide control need to be operated only by skilled pilots who possess specific qualifications or are skilled in operating unmanned aerial vehicles for safety reasons, etc. Due to the bias in technology, there is a problem that the criteria for objectively determining the skill and reliability of unmanned aerial vehicle operation by a pilot operating an unmanned aerial vehicle is ambiguous.

Korean Registered Patent No. 10-1792077 Korean Registered Patent No. 10-1886281

In one aspect of the present invention, in the process of mediating a service transaction between a pilot operating an unmanned aerial vehicle and a service consumer who requires the operation of an unmanned aerial vehicle, a pilot optimized for gas operation difficulty in a region where service is required can be matched. It provides a service intermediary method that requires the operation of an unmanned aerial vehicle, and a system and a recording medium to accomplish this.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

According to an embodiment of the present invention, a service intermediary method requiring operation of an unmanned aerial vehicle for brokering a service transaction between a pilot operating an unmanned aerial vehicle and a service consumer requiring operation of the unmanned aerial vehicle is provided from a service consumer terminal. 3D terrain information is generated based on the received service information, the flight path of the unmanned aerial vehicle according to the service information is simulated on the 3D terrain information, and reference data is generated based on a 3D simulation result. According to a result of comparing the reference data with a plurality of flight data received and stored in advance from a plurality of pilot terminals, one pilot terminal is selected, and the selected one of the pilot terminals and the service consumer terminal are matched.

Generating the 3D terrain information may be extracting location information included in the service information, searching geographic data corresponding to the location information, and generating the 3D terrain information based on the geographic data. have.

To generate the reference data, the flight path is divided into predetermined sections to calculate a cumulative change amount of the 3-axis attitude value of the unmanned aerial vehicle for each section, and a preset threshold value of the calculated cumulative change amount of the 3-axis attitude value At least one section may be extracted, and a flight path included in the extracted at least one section may be set as the reference data.

Generating the reference data, if it is confirmed that the cumulative change in the 3-axis attitude value in all sections of the flight path is less than or equal to the threshold value, merges any one section constituting the flight path with a neighboring section, Recalculate the cumulative change amount of the 3-axis attitude value for the merged section and compare the threshold value to extract at least one merge period, but the cumulative change amount of the 3-axis attitude value for the merged section is equal to or greater than the threshold value. It may include repeating the section merging process until it becomes possible.

Selecting any one of the pilot terminals compares the simulated flight path included in the reference data with the pilot flight path included in any one flight data for each flight distance according to the predetermined section, and the simulation flight path and When a flight pattern having a similarity level higher than a predetermined reference value is searched, it may be to select a pilot terminal corresponding to any one of the flight data as a matching target.

Selecting any one of the pilot terminals, when there are a plurality of pilot terminals selected as the matching target, calculates a three-axis average slope of the simulation flight path included in the reference data and selects one axis having the largest average slope And, by comparing the slope of the simulation flight path with respect to the selected one axis and the slope of the flight pattern, it may be to select a pilot terminal corresponding to any one flight data having the most similar slope pattern as a matching target. .

After performing the service, the method may further include generating evaluation data by comparing an actual flight path included in the flight data received from the pilot terminal with a simulation flight path according to the simulation result.

Prior to selecting any one of the pilot terminals, the reference data is transmitted to a plurality of pilot terminals, and new flight data based on the reference data received from the pilot terminals is collected to update the flight data for each pilot terminal. It may further include.

In addition, the computer-readable recording medium according to an embodiment of the present invention may record a computer program for performing a service intermediary method requiring operation of an unmanned aerial vehicle according to the present invention.

In addition, a service intermediary system that requires the operation of an unmanned aerial vehicle that mediates service transactions between a pilot operating an unmanned aerial vehicle and a service consumer who requires the operation of the unmanned aerial vehicle, is a service consumer Based on the service information received from the terminal, generates a 3D terrain information, a simulation unit for simulating the flight path of the unmanned aerial vehicle on the 3D terrain information, generates reference data based on a 3D simulation result, and the reference A comparison determination unit for selecting any one pilot terminal according to a result of comparing data with a plurality of flight data received and stored in advance from a plurality of pilot terminals, and a matching unit for matching any one of the selected pilot terminal and the service consumer terminal It can contain.

The comparison determination unit divides the flight path into predetermined sections, calculates a cumulative change amount of the 3-axis attitude value of the unmanned aerial vehicle for each section, and calculates a section in which the calculated cumulative change amount of the 3-axis attitude value is equal to or greater than a preset threshold value. At least one is extracted, and the flight path included in the extracted at least one section may be set as the reference data.

When the cumulative change amount of the 3-axis attitude value in all sections of the flight path is determined to be less than or equal to the threshold, the comparison and determination unit merges any one section constituting the flight path with a neighboring section and merged sections Recalculate the cumulative change amount of the 3-axis attitude value for and compare with the threshold value to extract at least one merge section, until the cumulative change amount of the 3-axis attitude value for the merged section becomes greater than or equal to the threshold value The section merging process may be repeated.

The comparison and determination unit compares a simulated flight path included in the reference data with a pilot flight path included in any one flight data for each flight distance according to the predetermined section, and compares the simulation flight path with a similarity of a predetermined reference value or higher. When the flight pattern is found, a pilot terminal corresponding to any one of the flight data may be selected as a matching target.

When there are multiple pilot terminals selected as the matching target, the comparison and determination unit calculates a three-axis average slope of the simulated flight path included in the reference data, selects one axis having the largest average slope, and selects the selected one The pilot terminal corresponding to any one flight data having the most similar inclination pattern may be selected as a matching target by comparing the inclination of the simulation flight path with respect to the axis of the flight pattern.

The matching unit may generate evaluation data by comparing an actual flight path included in flight data received from the pilot terminal after performing the service with a simulation flight path according to the simulation result.

According to one aspect of the present invention described above, among the service areas where the operation of the unmanned aerial vehicle is required, the section in which the operation of the unmanned aerial vehicle is most difficult is set as the reference data, and a pilot having a similar flight experience as the reference data is searched for by the service consumer and Because of the matching, it is possible to match the pilot optimized for each service area with the service consumer, so the reliability of the matching result can be improved, and the quality of the service result using an unmanned aerial vehicle can also be improved.

1 is a block diagram showing a schematic configuration of a service intermediary system that requires the operation of an unmanned aerial vehicle according to an embodiment of the present invention.
FIG. 2 is a conceptual diagram illustrating data flow according to a service intermediary system requiring operation of the unmanned aerial vehicle of FIG. 1.
3 is a diagram illustrating an example of a flight path simulation result performed by the simulation unit of FIG. 1.
4 is a flowchart illustrating a schematic flow of a service intermediary method requiring operation of an unmanned aerial vehicle according to an embodiment of the present invention.

For a detailed description of the present invention, which will be described later, reference is made to the accompanying drawings that illustrate, by way of example, specific embodiments in which the present invention may be practiced. These examples are described in detail enough to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain shapes, structures, and properties described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with one embodiment. In addition, it should be understood that the location or placement of individual components within each disclosed embodiment can be changed without departing from the spirit and scope of the invention. Therefore, the following detailed description is not intended to be taken in a limiting sense, and the scope of the present invention, if appropriately described, is limited only by the appended claims, along with all ranges equivalent to those claimed. In the drawings, similar reference numerals refer to the same or similar functions across various aspects.

In the present specification, the service may mean various operations required for agriculture, such as soil and agricultural land survey using unmanned aerial vehicles, seed sowing, pesticide control, photographing for crop monitoring, irrigation, and the like. However, the present invention is not limited thereto, and may further include operations accompanying various industries that require operation of an unmanned aerial vehicle, such as forest fire extinguishing and missing persons search. Hereinafter, for convenience of description, the pesticide control operation using an unmanned aerial vehicle will be described as a service.

Accordingly, the service consumer terminal described later is a terminal, such as a smartphone possessed by a farmer (service consumer), which requires pesticide control using an unmanned aerial vehicle, and the pilot terminal is a smartphone possessed by a pilot who has obtained unmanned aerial vehicle operation qualification. It may be defined as a terminal.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a block diagram illustrating a schematic configuration of a service intermediary system requiring operation of an unmanned aerial vehicle according to an embodiment of the present invention, and FIG. 2 is a conceptual diagram illustrating data flow according to the system of FIG. 1.

The service intermediary system (1, hereinafter referred to as a service intermediary system) that requires the operation of an unmanned aerial vehicle according to the present invention can broker service transactions between a pilot operating an unmanned aerial vehicle and a service consumer who requires the operation of the unmanned aerial vehicle. have.

To this end, the service intermediary system 1 according to an embodiment of the present invention generates 3D terrain information based on service information received from a service consumer terminal to simulate a flight path of an unmanned aerial vehicle, and 3D simulation results On the basis of generating reference data, the generated reference data can be matched with a plurality of flight data received and stored in advance from a plurality of pilot terminals to select any one pilot terminal to match the service consumer terminal and the pilot terminal. have.

The indoor positioning system 1 according to the present invention may be implemented in a management server.

The management server can communicate with the pilot terminal and the service consumer terminal to exchange data and provide overall services for operating the agricultural unmanned aerial vehicle.

To this end, the management server may be pre-installed with software (application) in which the service brokering system 1 according to the present invention is implemented. Hereinafter, for convenience of description, the service brokering system 1 according to the present invention will be described on the assumption that it is implemented and implemented in a management server.

Specifically, the service brokering system 1 according to an embodiment of the present invention may include a simulation unit 100, a comparison determination unit 200 and a matching unit 300.

At this time, the service brokering system 1 may be implemented by more components than the components shown in FIG. 1, and may be implemented by fewer components. Or, in the service brokering system 1, at least two components of the simulation unit 100, the comparison determination unit 200, and the matching unit 300 are integrated into one component, so that one component has a complex function. You can also do Hereinafter, the above-described components will be described in detail.

When receiving the service information from the service consumer terminal connected to the management server, the simulation unit 100 may generate 3D terrain information based on the received service information.

Here, the service information is generated by the service consumer (farmer) who has the service consumer terminal, the location (address) where pesticide control is desired, the area of the farmland, the type of crop, the type of pesticide desired to be sprayed, and the time required for pesticide control. At least one of the information may be included.

The simulation unit 100 may search geographic data corresponding to the location information based on the location information included in the service information. For example, the simulation unit 100 may collect information on a three-dimensional topographic map, soil, and surrounding facilities for an area where pesticide control is required by accessing a national geographic information DB provided as public data. Alternatively, the simulation unit 100 may search geographic data corresponding to location information using 3D map data stored in the management server itself. Alternatively, the simulation unit 100 may search geographic data based on GPS location information of the service consumer terminal that has transmitted the service information. That is, the simulation unit 100 may search the GPS location information of the service consumer terminal at the time when the service information is received, and search geographic data corresponding to the GPS location coordinates at the time.

The simulation unit 100 may generate 3D terrain information, which is a virtual space reflecting the characteristics of the searched geographic data. In the 3D terrain information generated by the simulation unit 100, objects for mountains, hills, flatlands, lakes, irrigation facilities, etc. can be expressed in 3D form, and pesticide control using an unmanned aerial vehicle is required based on service information The service area to be displayed can be displayed.

Thereafter, the simulation unit 100 may simulate the flight path of the unmanned aerial vehicle according to the service information on the generated virtual 3D terrain information. In this regard, it will be described with reference to FIG. 3 together.

3 is a diagram illustrating an example of a simulation result performed by the simulation unit 100.

The simulation unit 100 may simulate a flight path in a virtual space where an area to be operated by an unmanned aerial vehicle is implemented. Specifically, the simulation unit 100 may analyze the service information from the service consumer terminal to generate a flight path in which pesticides are evenly applied to all service areas in consideration of the service area and the spraying range of each unmanned aerial vehicle. In the simulation process, the simulation unit 100 may simulate the shortest flight path of the unmanned aerial vehicle by considering the remaining battery capacity of the unmanned aerial vehicle and surrounding facilities. The simulation unit 100 may display the flight path generated in the simulation process on the 3D terrain information.

On the other hand, in the illustrated drawing, for convenience of description, it is illustrated as a 2D simulation result, but as described above, the simulation unit 100 should be understood as simulating a flight path on 3D terrain information.

The comparison and determination unit 200 performs a matching process between the service consumer and the pilot by searching for a pilot who can best perform the requested service from the service consumer based on the 3D simulation result derived by the simulation unit 100 You can.

To this end, the comparison and determination unit 200 may generate reference data for determining a matching partner using a flight path (hereinafter, a simulation flight path) generated as a result of the 3D simulation.

In order to generate reference data, first, the comparison and determination unit 200 may divide the simulated flight path for each predetermined section. For example, the comparison and determination unit 200 may divide the simulated flight path in units of 50 m.

The comparison and determination unit 200 may calculate a cumulative change amount of the 3-axis attitude value for each simulated flight path divided for each section.

For example, in the first section, when the unmanned aerial vehicle performs only a straight flight without a change in altitude, the rotation angle of the pitch axis, roll axis, and yaw axis of the device coordinate system having the unmanned aerial vehicle as the central position. Since there is no change in, the cumulative change amount of the 3-axis attitude value in the first section may be calculated as 0. On the other hand, when the unmanned aerial vehicle is flying upward in the second section, since the aircraft is lifted and rotates on the pitch axis, a change in the pitch axis attitude value may occur. In this way, the comparison determination unit 200 may accumulate the amount of change in the 3-axis attitude value for each section by analyzing the simulation flight path for each section.

The comparison determination unit 200 may compare the cumulative change amount of the 3-axis attitude value calculated for each section with a preset threshold value. The comparison and determination unit 200 may set a simulated flight path forming a section in which a cumulative change in the 3-axis attitude value is equal to or greater than a threshold value as reference data.

Thereafter, the comparison and determination unit 200 may select any one pilot terminal as a matching target terminal according to a result of comparing the reference data with a plurality of previously stored flight data.

In the operation of the unmanned aerial vehicle, since the operation of moving the unmanned aerial vehicle in a certain direction is relatively easy, there is a limit in determining the pilot's proficiency based on this.

However, in the service intermediary system 1 according to the present invention as described above, the service demander is in a region where the operation of the unmanned aerial vehicle is the most difficult in the area where the operation of the unmanned aerial vehicle is required, that is, the change of the 3-axis attitude value of the unmanned aerial vehicle Since many sections are set as reference data, and pilots with similar flight experiences are searched and matched with service users, it is possible to match optimized pilots for each service area.

To this end, the comparison and determination unit 200 may compare the simulated flight path included in the reference data with the pilot flight path included in any one of the previously stored flight data. At this time, since the simulation flight path included in the reference data is a partial flight path for a specific section, the comparison and determination unit 200 determines the simulation flight path and the pilot flight path in a predetermined section (for example, a reference for calculating the cumulative change amount described above) Phosphorus 50m).

The comparison and determination unit 200 calculates the similarity between the simulated flight path and the pilot flight path for each section, and when it is confirmed that the similarity of at least one section is equal to or greater than a predetermined reference value, selects a pilot terminal corresponding to the flight data as a matching target You can.

Here, the comparison determination unit 200 may calculate the similarity using various well-known techniques. For example, the comparison and determination unit 200 may calculate a difference between the pilot flight path and the simulated flight path that changes over time while the simulation flight path and the pilot flight path start point are matched in a specific section. The comparison and determination unit 200 may calculate similarity by summing all the difference values in the corresponding section. In addition to this, the comparison determination unit 200 may calculate the similarity using various conventional techniques for measuring the similarity between the two graphs.

In this process, since the path of the unmanned aerial vehicle completing and returning the service mission need not be considered, the comparison and determination unit 200 excludes the flight path determined as the unmanned aerial vehicle return path from among the entire simulation flight paths. I can do it.

On the other hand, if it is determined that the plurality of pilot terminals selected as the matching targets are compared, the comparison and determination unit 200 may determine the final matching target among the plurality of candidate groups.

As described above, the reference data is a simulation flight path for a section in which all attitude values of three axes (pitch axis, roll axis, and yaw axis) for determining the attitude of the unmanned aerial vehicle are determined as a result of cumulative change. Accordingly, there is a problem in that only the reference data cannot reflect information on which axis of the unmanned aerial vehicle's 3-axis attitude change operation is most required in the corresponding section.

Therefore, the comparison and determination unit 200 extracts a rough candidate group for matching in consideration of all changes in the 3-axis attitude value, and selects a final matching target from among candidate groups extracted based on the axis having the most change in attitude value. have.

To this end, the comparison and determination unit 200 may calculate a three-axis average slope of the simulation flight path included in the reference data and select one axis having the largest average slope. For example, if the unmanned aerial vehicle has a simulated flight path that rises or falls in a section extracted as reference data, the pitch axis can be selected as an axis to be used in a subsequent comparison process because the variation of the pitch axis is the largest.

The comparison and determination unit 200 compares the inclination of the simulation flight path with respect to any one of the pitch axis and the roll axis yaw axis and the inclination of each of the pilot flight paths selected as the matching candidate group, and thus has any flight data having the most similar inclination pattern. It is possible to select a pilot terminal corresponding to the matching target. In other words, the comparison determination unit 200 may select the final matching target pilot terminal in consideration of only the gradient change with respect to the roll axis.

In some other embodiments, the comparison and determination unit 200 transmits reference data to a plurality of pilot terminals before selecting one pilot terminal to be matched, and a new flight based on the reference data received from the pilot terminal Data may be collected to update the flight data for each pilot terminal.

The matching unit 300 may perform processes for establishing a service contract between the two by matching any one of the pilot terminal and the service consumer terminal selected as a matching target by the comparison and determination unit 200.

For example, the matching unit 300 analyzes the operation schedule of the unmanned aerial vehicle of the pilot terminal selected as the matching target, and confirms whether the pilot can operate the unmanned aerial vehicle on the date when the service consumer needs to operate the unmanned aerial vehicle. The final matching process can be completed. In addition, the matching unit 300 may automatically create an electronic contract for service supply and cost payment based on the received service information and flight data and transmit it to the service consumer terminal and the pilot terminal.

When the service using the unmanned aerial vehicle in the region is completed, the matching unit 300 may generate evaluation data based on actual flight data of the pilot. Specifically, the matching unit 300 compares the actual flight path included in the flight data received from the pilot terminal after performing the service with the simulated flight path according to the simulation result, according to how well the pilot followed the first planned flight path. It is possible to generate evaluation data that quantify the results. The evaluation data generated by the matching unit 300 may be cumulatively managed and used as reference information when other users use the data.

4 is a flowchart illustrating a schematic flow of a service intermediary method requiring operation of an unmanned aerial vehicle according to an embodiment of the present invention.

As described above, the service intermediary method requiring operation of the unmanned aerial vehicle according to the present invention may be performed by a management server communicating with a service consumer terminal and a pilot terminal.

The management server may generate 3D terrain information based on the service information received from the service consumer terminal, and simulate the flight path of the unmanned aerial vehicle according to the service information on the 3D terrain information (410).

The management server may generate reference data based on the 3D simulation result (420). The management server may divide the simulated flight path generated as a result of the simulation into predetermined sections, and determine the simulated flight path in which the cumulative change amount of the 3-axis attitude value is greater than or equal to the threshold as reference data.

In this process, if the cumulative change in the 3-axis attitude value in all sections of the flight path is found to be less than or equal to the threshold, the management server merges any section constituting the flight path with neighboring sections, and merges the sections. It is possible to extract at least one merge section by recalculating the cumulative change amount of the 3-axis attitude value for the comparison with the threshold value. The management server may repeatedly perform such a section merging process until the cumulative change amount of the 3-axis attitude value for the merged section becomes a threshold value or more.

For example, if the cumulative change in the 3-axis attitude value in all sections (first to fourth sections) is less than the threshold, the management server merges the first section and the second section, and the third section and the fourth section Sections can be merged. Thereafter, the cumulative change amount of the 3-axis attitude values for the merged first to second sections and the third to fourth sections that are managed servers may be recalculated to set a section having a threshold value or higher as reference data.

The management server may compare the reference data with a plurality of flight data received and stored in advance from a plurality of pilot terminals (430), and select one pilot terminal according to the comparison result (440). Since detailed contents related to this have been described above, repeated description will be omitted.

Finally, the management server can finally match the selected one of the pilot terminal and the service consumer terminal to allow the pilot selected in the matching process to perform the service of the service consumer and control a series of processes for receiving rewards for the service. There is 450.

Such a technique for providing a service intermediary method requiring operation of an unmanned aerial vehicle may be implemented as an application or implemented in the form of program instructions that can be executed through various computer components and recorded in a computer-readable recording medium. . The computer-readable recording medium may include program instructions, data files, data structures, or the like alone or in combination.

The program instructions recorded on the computer-readable recording medium are specially designed and configured for the present invention, and may be known and usable by those skilled in the computer software field.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs, DVDs, and magneto-optical media such as floptical disks. media), and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of program instructions include not only machine language codes produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform processing according to the present invention, and vice versa.

Although described above with reference to embodiments, those skilled in the art understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. Will be able to.

100: simulation unit
200: comparative judgment
300: matching unit

Claims (15)

In the service brokering method that requires the operation of the unmanned aerial vehicle to broker service transactions between the pilot operating the unmanned aerial vehicle and the service consumer who requires the operation of the unmanned aerial vehicle,
3D terrain information is generated based on service information received from a service consumer terminal to simulate a flight path of the unmanned aerial vehicle according to the service information on the 3D terrain information,
Generate reference data based on the 3D simulation result, select any one pilot terminal according to a result of comparing the reference data with a plurality of flight data previously received and stored from a plurality of pilot terminals,
A service intermediary method that requires the operation of an unmanned aerial vehicle to match any one of the selected pilot terminal and the service consumer terminal.
According to claim 1, Generating the three-dimensional terrain information,
A service requiring operation of an unmanned aerial vehicle that extracts location information included in the service information, searches geographic data corresponding to the location information, and generates the 3D terrain information based on the geographic data Mediation method.
According to claim 1, Generating the reference data,
The flight path is divided into predetermined sections to calculate a cumulative change in the 3-axis attitude value of the unmanned aerial vehicle for each section, and at least one section in which the calculated cumulative change in the 3-axis attitude value is equal to or greater than a preset threshold is calculated. A service intermediary method requiring operation of an unmanned aerial vehicle, wherein the flight path included in the extracted at least one section is set as the reference data.
According to claim 3, Generating the reference data,
If it is determined that the cumulative change in the 3-axis attitude value in all sections of the flight path is less than or equal to the threshold, merge any one section constituting the flight path with a neighboring section, and 3-axis attitude for the merged section Recalculate the cumulative change in value and compare it with the threshold value to extract at least one merge section, but repeat the section merge process until the cumulative change in the 3-axis attitude value for the merged section becomes greater than or equal to the threshold value. A method of mediating services that requires the operation of unmanned aerial vehicles.
According to claim 3, Selecting any one of the pilot terminal,
By comparing the simulated flight path included in the reference data and the pilot flight path included in any one flight data for each flight distance according to the predetermined section, a flight pattern having a similarity to the simulated flight path and a predetermined reference value or more is searched. If it is, that the pilot terminal corresponding to any one of the flight data is to be selected as a matching target, the service brokerage method that requires the operation of the unmanned aerial vehicle.
According to claim 5, Selecting any one of the pilot terminal,
When there are a plurality of pilot terminals selected as the matching target, calculate a three-axis average slope of the simulation flight path included in the reference data, select one axis having the largest average slope, and select the one for the selected one axis. By comparing the slope of the simulated flight path and the slope of the flight pattern, selecting a pilot terminal corresponding to any one flight data having the most similar slope pattern as a matching target, a service intermediary method requiring operation of an unmanned aerial vehicle .
According to claim 1,
After performing the service, further comprising generating an evaluation data by comparing the actual flight path included in the flight data received from the pilot terminal with the simulated flight path according to the simulation result, the service intermediary method requiring operation of the unmanned aerial vehicle .
According to claim 1,
Prior to selecting any one of the pilot terminals, the reference data is transmitted to a plurality of pilot terminals, and new flight data based on the reference data received from the pilot terminals is collected to update the flight data for each pilot terminal. A service intermediary method that requires the operation of an unmanned aerial vehicle, further comprising:
A computer-readable recording medium having a computer program recorded thereon for performing a service intermediary method requiring operation of an unmanned aerial vehicle according to any one of claims 1 to 9.
In the service brokerage system that requires the operation of the unmanned aerial vehicle to broker service transactions between the pilot operating the unmanned aerial vehicle and the service consumer who needs the operation of the unmanned aerial vehicle,
A simulation unit that generates 3D terrain information based on service information received from a service consumer terminal and simulates a flight path of the unmanned aerial vehicle on the 3D terrain information;
A comparison and determination unit for generating reference data based on a 3D simulation result and selecting any one pilot terminal according to a result of comparing the reference data with a plurality of flight data previously received and stored from a plurality of pilot terminals; And
And a matching unit that matches any one of the selected pilot terminal and the service consumer terminal, a service brokerage system requiring operation of an unmanned aerial vehicle.
The method of claim 10, wherein the comparison judgment unit,
The flight path is divided into predetermined sections to calculate a cumulative change in the 3-axis attitude value of the unmanned aerial vehicle for each section, and at least one section in which the calculated cumulative change in the 3-axis attitude value is equal to or greater than a preset threshold is calculated. A service intermediary system that requires the operation of an unmanned aerial vehicle to set the flight path included in the extracted at least one section as the reference data.
The method of claim 11, wherein the comparison judgment unit,
If it is determined that the cumulative change in the 3-axis attitude value in all sections of the flight path is less than or equal to the threshold, merge any one section constituting the flight path with a neighboring section, and 3-axis attitude for the merged section Recalculate the cumulative change in value and compare it with the threshold value to extract at least one merge section, but repeat the section merge process until the cumulative change in the 3-axis attitude value for the merged section becomes greater than or equal to the threshold value. A service intermediary system that requires the operation of unmanned aerial vehicles.
The method of claim 11, wherein the comparison judgment unit,
By comparing the simulated flight path included in the reference data and the pilot flight path included in any one flight data for each flight distance according to the predetermined section, a flight pattern having similarity to the simulated flight path and a predetermined reference value or more is searched. If it is, a service brokerage system that requires the operation of an unmanned aerial vehicle to select a pilot terminal corresponding to any one of the flight data as a matching target.
The method of claim 13, wherein the comparison judgment unit,
When there are a plurality of pilot terminals selected as the matching target, calculate a three-axis average slope of the simulation flight path included in the reference data, select one axis having the largest average slope, and select the one for the selected one axis. A service brokerage system that requires the operation of an unmanned aerial vehicle to select a pilot terminal corresponding to any one flight data having the most similar slope pattern by comparing the slope of the simulation flight path with the slope of the flight pattern.
The method of claim 10, wherein the matching unit,
After performing the service, a service intermediary system requiring operation of an unmanned aerial vehicle to generate evaluation data by comparing an actual flight path included in flight data received from the pilot terminal with a simulation flight path according to the simulation result.

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