KR102561163B1 - Platform system for agriculture drones - Google Patents

Abstract

The present invention relates to an agricultural drone platform system, and more particularly, to an agricultural drone platform system that calculates an estimated estimate required for a pest control operation using a drone using a three-dimensional cadastral map and weather information, etc., and allows pest control applicants to select a pest control operator through bidding by pest control operators based on the calculated estimate, thereby providing optimal pest control services to pest control applicants.

Description

Agricultural drone platform system {Platform system for agriculture drones}

The present invention relates to an agricultural drone platform system, and more particularly, to an agricultural drone platform system that calculates an estimated estimate required for a pest control operation using a drone using a three-dimensional cadastral map and weather information, etc., and allows pest control applicants to select a pest control operator through bidding by pest control operators based on the calculated estimate, thereby providing optimal pest control services to pest control applicants.

A drone refers to an airplane or helicopter-shaped unmanned aerial vehicle that can fly and control by radio wave induction without a pilot.

Recently, the area with the highest utilization of drones is the precision agriculture sector, and drones applied to farming are replacing existing helicopters and human control.

As an example, there is a case where a farmer directly purchases a drone for control and uses a drone to control a drug on his or her own farmland.

In addition, in order to operate a pest control drone, it is difficult for most farmers to use it, such as the need to receive education and training to acquire separate drone control techniques to use the pest control drone, and the purchase cost and maintenance cost of the drone are high.

In order to solve these problems, recently, the number of pest control operators specializing in pest control by purchasing drones for pest control is increasing.

However, this method has a problem in that profitability is low for pest control operators, and the efficiency of using drones for pest control is low, such as farmers not being able to properly perform the necessary pest control on a desired date.

As a prior art for solving such problems, Korean Patent Publication No. 10-2021-0057494 discloses a pesticide control system and method using a drone, the main technical configuration of which is a pesticide control reservation app installed on a cultivator's smartphone; A pesticide control consignment company's management server including control reservation management unit, control drone management unit, land (geographic) information management unit, cost management unit, and pest information provision unit; And pesticide control management app; includes.

The prior art has a technical feature in that the cultivator's pesticide control consignment work and the control operator's control acceptance work are facilitated so that efficient control work is performed, but the cultivator, that is, the control service requester, can not confirm the appropriateness of the service cost. There is a problem.

In other words, as the demand for control services using drones increases, the number of control operators is increasing, but since the exact standard or method for calculating the unit price of the service has not been established, the control service applicants have no choice but to follow the cost suggested by control operators.

In addition, the cost of the control service may be affected by the control area, weather, control time zone, the type of chemicals and crops used, and the presence or absence of vehicle access roads. A system that allows control service applicants or control operators to predict control costs has not been properly established to date.

1. Republic of Korea Patent Publication No. 10-2021-0057494 (published on May 21, 2021)

The present invention has been devised to solve the problems of the prior art as described above, and an object of the present invention is to provide an agricultural drone platform system that calculates an estimated cost estimate required for control services in consideration of information such as spraying area, crop type, drug type, slope, and vehicle access road based on 3D cadastral map and weather information, and provides an agricultural drone platform system that can be supplied to control service applicants and users.

In addition, the present invention discloses the calculated estimated cost estimate to pest control operators to participate in bidding, and then allows applicants to select an operator to contract from among pest control operators participating in the bidding. It is another object to provide an agricultural drone platform system that can provide suitable services to both the applicant and the control operator.

In addition, the present invention allows the estimated cost estimate to be updated through learning based on accumulated bidding information, thereby actively coping with changes in conditions that may affect the cost of control service, as well as service satisfaction and feedback from control service applicants.

The present invention for achieving the above objects,

In an agricultural drone platform system including an applicant terminal, an operator terminal, and a control server connected through a network, it includes a cadastral map server that provides cadastral map data to a control server, and a meteorological server that provides weather information to a control server. The control server may include an estimated estimation calculation unit that calculates an estimated cost required for control by using control application contents input from the applicant terminal and cadastral map and weather information of the control application area obtained through the cadastral map server and weather server.

In this case, the estimated cost calculation unit may set a weight for each item used in calculating the estimated cost, and calculate the estimated cost by adding products of the corresponding item and the weight.

In addition, the control server may include a control requester manager for managing contents input from the applicant terminal, a control operator manager for managing contents input from the operator terminal, a control reservation management unit for storing control request information input from the applicant terminal, and a bid management unit that provides bidding information to the operator terminal and manages bid participation information input from the operator terminal to proceed with a contract between the control applicant and the control operator.

The estimated estimate calculation unit may update the estimated estimate by recalculating the weights through machine learning using accumulated successful bid information obtained through the bid management unit.

In addition, the control server includes the moving direction, altitude and speed of the drone used for control using the 3-dimensional cadastral map and weather information of the control application area obtained through the cadastral map server and the weather server. It may further include an optimal control route suggestion unit that proposes a control route.

In addition, the control server may further include a control area inspection unit that receives an image of an area where a control operation was performed after the control operation is completed by a control operator and evaluates control capability of the control operator.

In addition, the control server may further include an evaluation management unit for receiving and storing satisfaction and result feedback of the control applicants input through the applicant terminal after the control operation is completed by the control operator.

According to the present invention, by calculating the estimated cost estimate required for control services in consideration of information such as 3D cadastral maps and weather information, and supplying them to control service applicants and users, it is possible to fundamentally prevent unreasonable or unfair contracts from being made, and has an excellent effect of providing suitable services to both applicants and control operators at a reasonable price.

In addition, according to the present invention, it is possible to update the estimated cost estimate through learning based on accumulated bidding information, so that it can actively cope with changes in conditions that can affect the cost of control service, as well as control service applicants. It has an additional effect of continuously improving the quality of control services such as follow-up management through feedback of service satisfaction and results.

1 is a diagram conceptually showing an agricultural drone platform system according to the present invention.
Figure 2 is a view showing in detail the configuration of the control server of the present invention shown in Figure 1.
Figure 3 is a view showing one embodiment of the control route proposed in the optimal control route proposal unit of the present invention shown in Figure 2;
4 is a flowchart sequentially showing the process of providing pest control services using the agricultural drone platform system according to the present invention.

Hereinafter, preferred embodiments of the agricultural drone platform system according to the present invention will be described in detail with reference to the accompanying drawings.

Since the following is merely illustrative of the principles of the present invention, all conditional terms and examples listed herein are, in principle, expressly intended only for the purpose of enabling the concept of the present invention to be understood, and thus specifically listed. It should be understood that it is not limited to the listed embodiments and conditions.

In addition, the block diagrams herein are to be understood as representing conceptual views of example circuits embodying the principles of the present invention, and similarly, any flow diagrams or the like are to be understood as being tangible representations of computer-readable media and representing various processes performed by a computer or processor, whether or not the computer or processor is explicitly depicted.

The functions of the various components shown in the drawings comprising functional blocks represented by processors or similar concepts may be provided using dedicated hardware as well as hardware capable of executing software in conjunction with appropriate software, and the functions may be provided by a single dedicated processor, a single shared processor, or a plurality of separate processors, some of which may be shared.

In addition, the explicit use of terms presented as processor, control, or similar concepts should not be construed as exclusively citing hardware capable of executing software, but without limitation, digital signal processor (DSP) hardware, It should be understood as implicitly including ROM, RAM, and non-volatile memory for storing software. Other hardware for the governor's use may also be included.

In the claims of this specification, a component represented as a means for performing a function described in the detailed description is intended to include, for example, any form of software for performing the function or any method for performing the function, and may be combined with appropriate circuitry for executing the software to perform the function. Since the invention defined by these claims combines the functions provided by the various enumerated means and is combined in the manner required by the claims, any means capable of providing the functions is to be understood as equivalent to that discerned from this specification.

1 is a diagram conceptually showing an agricultural drone platform system according to the present invention, and FIG. 2 is a diagram showing in detail the configuration of a control server among the present invention shown in FIG.

The present invention relates to an agricultural drone platform system (10) that provides optimal control services to control applicants by calculating estimated estimates required for control operations using drones using dimensional maps and weather information, and allowing control applicants to select control operators through bidding by control operators based on the calculated estimated estimates. It may include services such as spreading seeds on farmland.

The basic configuration of the agricultural drone platform system 10 according to the present invention, as shown in FIG. 1, largely includes an applicant terminal 100, an operator terminal 200, a control server 300, a land map server 400, and a weather server 500.

First, the applicant terminal 100 refers to a terminal possessed by a cultivator to apply for a control operation using a drone (hereinafter referred to as 'control service'), and may be a communicable desktop computer, a laptop computer, a notebook, a smart phone, a tablet PC, a mobile phone, and the like.

That is, the control service applicant can obtain information related to control by accessing the control server 300 to be described later using the terminal that he has, that is, the applicant terminal 100, as well as control crops, drugs, You can apply for control services through input of information such as land number.

Next, the operator terminal 200 refers to a terminal possessed by operators performing control services, and may be a communicable desktop computer, a laptop computer, a notebook, a smart phone, a tablet PC, a mobile phone, and the like.

As will be described later, business operators use the operator terminal 200 to input drone information, control crops, serviceable areas, workable dates, etc., and upload them to the control server 300 to be described later. You can participate in the bidding provided by the control server 300.

That is, the applicant terminal 100 and the operator terminal 200 are means for the control service applicants and control operators to access the control server 300 through the network and proceed with the procedures for requesting and performing control services. Since it is a configuration that is already used in various platform systems, a detailed description thereof will be omitted.

In addition, the control server 300 provides a service in the form of an application that can be downloaded using the applicant terminal 100 and operator terminal 200, so that control service applicants or control operators can obtain information related to control such as expected estimates to be described later through the app installed on the applicant terminal 100 or operator terminal 200, or can be configured to proceed with control service-related procedures described below.

Next, the upper body control server 300 is connected to the applicant terminal 100 and the operator terminal 200 through a network to play a role in relaying the conclusion of the control service contract between the control service applicant and the control operator. In the present invention, when the control service applicant applies for control service using the applicant terminal 100, the expected cost required for control work, that is, the estimated estimate, is calculated and provided.

That is, the control server 300 may include an estimated estimate calculation unit 340, and the estimated estimate calculation unit 340 may calculate the estimated cost required for control by using the control application contents input from the applicant terminal 100 and the cadastral map and weather information of the control application area obtained through the cadastral map server and weather server.

In more detail, for the calculation of the estimated cost, the information of the spray area, slope, and access road, which can be obtained from the cadastral map, weather information such as rainfall and wind speed, which can be obtained from the meteorological information, and the crop type, drug, and work date input from the applicant terminal 100 can be used.

(One)

Next, the cadastral map server 400 plays a role of providing 2-dimensional or 3-dimensional cadastral map data to the control server 300. It can be configured to transmit cadastral map data to the control server 300 at the request of the control server 300 using cadastral map data provided free of charge by the Ministry of Land, Infrastructure and Transport and spatial information data provided free of charge by each local government.

That is, when a control service application is input by the applicant terminal 100, the control server 300 transmits the corresponding lot number to the cadastral map server 400, and the cadastral map server 400 transmits the cadastral map of the corresponding lot to the control server 300 so that the applicant can check the cadastral map by the applicant terminal 100 and at the same time use it to calculate the estimated estimate.

At this time, if the cadastral map server 400 can secure a 3D cadastral map, it can simultaneously transmit the 2D cadastral map and the 3D cadastral map to the control server 300, and if it is impossible to secure the 3D cadastral map, it can be configured to generate 3D data such as a road view image using the obtainable 2D cadastral map and transmit it to the control server 300.

Next, the weather server 500 serves to provide the weather information of the area where the control service is requested to the control server 300.

That is, the weather server 500 may be configured to transmit weather information such as temperature, wind speed, and precipitation on a specific date for the corresponding region to the control server 300 when there is a request from the control server 300 using the weather status or forecast for each region provided free of charge from the Korea Meteorological Administration. It can help to select a date to be performed and, as described above, can be used for calculating the estimated estimate in the estimated estimate calculation unit 340 .

On the other hand, as shown in FIG. 2, the control server 300 may further include a control applicant management unit 310, a control operator management unit 320, a control reservation management unit 330, and a bid management unit 350. The control applicant management unit 310 is configured to manage information of control applicants mainly composed of cultivators and contents input from the applicant terminal 100 by control applicants.

That is, the control applicant management unit 310 stores the information of control applicants using the applicant terminal 100, and at the same time, the control applicants use the applicant terminal 100 to apply for control services. By playing a role of guiding, applicants who are not familiar with the use of the applicant terminal 100 can easily apply for control services.

In more detail, the pest control requester management unit 310 selects control products, selects drugs to be controlled, inputs lot number of cultivated land to control, desired control date, etc. can be sequentially transmitted to the applicant terminal 100 through the network so that applicants can sequentially input information necessary for requesting control services.

At this time, when the control product is selected by the applicant terminal 100, the control applicant management unit 310 may be configured to recommend a type of drug suitable for the time according to the selected control product so that the applicant selects it.

In addition, when the lot number of the cultivated land is input by the applicant terminal 100, the cadastral map of the corresponding lot received from the cadastral map server 400 is transmitted to the applicant terminal 100 so that the applicant confirms the cadastral map, and then confirms and inputs the lot number of the cultivated land.

In addition, it is possible to divide and select the control area so that the applicant can apply for the control service for only some of the arable land, or whether or not the vehicle for transporting the drone to the arable land can enter the arable land and the vehicle. It is possible to provide a screen for selectively inputting the distance between the road and the arable land using the applicant terminal 100.

Next, the control operator management unit 320 is a configuration for managing information of control operators equipped with control drones and contents input from the operator terminal 200 by control operators.

That is, control operators can access the control server 300 using the operator terminal 200 and input drone information such as model name, self-weight, payload, etc. of drones that can be put into control work, operator information including control crops, available drugs, workplace location and control possible area, existing control operation history information, control operation availability date, etc. The information input through the operator terminal 200 is stored in the control operator management unit 320 can be stored and managed.

Next, the control reservation management unit 330 is a configuration for storing control request information input by the applicant terminal 100, that is, applied, and the control request information includes the control desired date, that is, the control date, lot number, crops and drug types, etc. may be included.

At this time, among the contents stored in the control reservation management unit 330, the control request information for which a formal contract has not yet been concluded can be searched by the applicant terminal 100 and the operator terminal 200, so that the control request information can be modified by the applicant or confirmation of bid participation by the operator can be configured.

Next, as described above, the estimated estimate calculation unit 340 is configured to calculate the expected cost required for pest control by using the pest control application contents input from the applicant terminal 100 and the cadastral map and weather information of the pest control application area obtained through the cadastral map server and weather server, and the information on the spray area, slope, and access road, weather information such as rainfall and wind speed that can be obtained from the weather information, and crop types, chemicals, and work dates input from the applicant terminal 100 An estimated estimate may be calculated using information such as the like and weights (w) assigned to each piece of information.

At this time, if the control area has a slope, such as a multi-level paddy field or a sloped field, which is not a two-dimensional flat field, the actual control area increases, so the control area is analyzed by analyzing the three-dimensional land map provided from the cadastral map server 400. The actual area of the control area can be calculated and reflected in the estimated estimate.

In addition, in order to perform pest control using drones, the drone and the drug tank must be moved to the control area using a vehicle, but in many cases, the vehicle cannot enter the control area due to the nature of the farmland.

If the vehicle cannot enter, additional equipment must be put in or additional manpower must be put in to move the drone and the drug tank. Therefore, through analysis of the cadastral map provided from the cadastral map server 400, the control area and the shortest distance to the vehicle access road can be calculated, and an estimated estimate can be calculated according to the calculated shortest distance.

In addition, since the time required for the control operation is inevitably increased in weather conditions where drone operation is unfavorable, such as strong wind or rain, an estimated estimate can be calculated by reflecting the weather information of the control area obtained through the weather server 500.

On the other hand, the expected cost of the pest control operation may change due to the increase or decrease in the number of pest control operators or the development of drone technology for pest control. Accordingly, the estimated estimate calculation unit 340 calculates a more reasonable and accurate estimated estimate. The estimated estimate calculation method can be updated.

At this time, a machine learning method using a neural network, that is, machine learning, may be used as the update method. The estimated estimate may be updated by using the items used in the calculation of the above-described estimated estimate as input values and the accumulated successful bid value, i.e., the cost of contract signing as the result value, recalculating the weights (w) for each item through learning, and calculating the expected estimate by the above-described equation (1) using the recalculated weights.

Next, the bid management unit 350 serves to provide bidding information to the operator terminal 200 and manages the bidding participation information input from the operator terminal 200 to proceed with a contract between the control applicant and the control operator. can be uploaded to

That is, the control operator continuously updates the date on which the control operation is possible and the equipment to be held using the operator terminal 200, and the bid management unit 350 can check the control operator capable of working on the control date requested by the control reservation management unit 330. When the estimated estimate calculation in the estimated estimate calculation unit 340 is completed, bidding participation information can be provided by e-mail or SMS through the user terminal of the control operator capable of operation.

The pest control operator who has been informed of the bidding participation information accesses the pest control server 300 using the operator terminal 200 and participates in the bidding by referring to the pest control information such as the pest control date, control area, lot number, crop and drug type stored in the pest control reservation management unit 330 and the estimated estimate calculated by the estimated estimate calculation unit 340.

In addition, the control applicant can select a control operator by using the applicant terminal 100 to check information such as price, possession equipment, past work history, satisfaction and use results of control operators participating in the bidding.

When the control applicant deposits a deposit of a predetermined ratio into the cost calculation unit 380, which will be described later, a contract between the control applicant and the selected control operator is established, and the bidding management unit 350 creates an electronic contract. The contract can be completed by sending it to the applicant terminal 100 and the operator terminal 200.

At this time, the cost settlement unit 380 is provided in the control server 300 to receive a down payment and control costs from the control applicant, and to receive a fee for using the system 10 according to the present invention from the control operator. Since the configuration of various cost settlement units provided in the known platform system can be applied, a detailed description thereof will be omitted.

On the other hand, the agricultural drone platform system 10 according to the present invention may further include an optimal control route proposal unit 360 provided in the control server 300. The optimal control route proposal unit 360 may suggest an optimal control route to a control operator, that is, a movement path of drones during control operations.

That is, as described above, since the movement path of the drone or the time required for the control operation may vary depending on the weather conditions of the control day, the topography of the control area, and the surrounding environment, the optimal control route proposal unit 360 generates the optimal control route including the moving direction, altitude, and speed of the drone used for control by using the cadastral map server and the 3D cadastral map and weather information of the control application area obtained through the weather server, and provides it to the control operator through the operator terminal 200. can

For example, when a westerly wind is expected on a control work day, as shown in FIG. 3, a point outside a certain distance from the western boundary of the control area is the starting point, and a point located inside a certain distance from the eastern boundary of the control area is the end point.

At this time, the optimal control route proposal unit 360 may propose the GPS coordinates of the start and end points, and the moving direction and speed information of the drone in consideration of the wind speed and direction information provided from the meteorological server.

In addition, the control server 300 may further include a control area inspection unit 370, and the control area inspection unit 370 receives an image of the area where the control operation was performed after the control operation by the control operator is completed. It may serve to evaluate the control capability of the control operator.

That is, the control area inspection unit 370 selects a drone owner to perform the inspection after a certain period of time has elapsed after the control operation is completed, and the inspection drone, that is, the control area to be filmed by a drone capable of video shooting. It can notify the number, shooting date, etc.

The selected drone owner company takes an image of the control area on the notified shooting date, transmits it to the control area inspection unit 370 in real time or offline, and analyzes the transmitted image in the control area inspection unit 370. The control capability of the control operator can be evaluated.

At this time, the control capability evaluation may be scored and uploaded to the evaluation management unit 390, which will be described later, and as a result of the evaluation by the control area inspection unit 370, control operators who receive evaluations of a predetermined score or more may be selected as preferred bidders for additional control applications later or selected as recommended control operators and configured so that control applicants can check through the applicant terminal 100.

On the other hand, the control server 300 may further include an evaluation management unit 390, wherein the evaluation management unit 390 is input through the applicant terminal 100 after completion of the control operation by the control operator. It may serve to receive and store satisfaction and control service use result feedback.

In addition, in the evaluation management unit 390, the control capability of the control operator evaluated by the control area inspection unit 370 may be scored and stored.

In addition, the contents stored in the evaluation management unit 390 are configured to be viewed by the applicant terminal 100, and help control applicants select a control operator to conclude a contract among control operators participating in the bidding.

In addition, the satisfaction and use results stored in the evaluation management unit 390 may be transmitted to the operator terminal 200 of the corresponding control operator to help improve the service quality of control operators.

Therefore, as described above, according to the agricultural drone platform system 10 according to the present invention, by calculating the estimated cost estimate required for the pest control service in consideration of information such as 3D cadastral map and weather information, it is possible to fundamentally prevent unreasonable or unfair contracts from being made, and to provide suitable services to both applicants and pest control operators at a reasonable price, and to update the estimated cost estimate through learning based on accumulated bidding information. It has various advantages, such as being able to actively cope with changes in conditions that can affect the cost of control services, as well as continuously improving the quality of control services such as follow-up management through feedback on service satisfaction and results by control service applicants.

Although the foregoing embodiments have been described with respect to the most preferred examples of the present invention, it is not limited to only the above embodiments, and it is clear to those skilled in the art that various modifications are possible without departing from the technical spirit of the present invention.

The present invention relates to an agricultural drone platform system, and more particularly, to an agricultural drone platform system that calculates an estimated estimate required for a pest control operation using a drone using a three-dimensional cadastral map and weather information, etc., and allows pest control applicants to select a pest control operator through bidding by pest control operators based on the calculated estimate, thereby providing optimal pest control services to pest control applicants.

10: platform system 100: applicant terminal
200: operator terminal 300: control server
310: control applicant management department 320: control business management department
330: Prevention reservation management unit 340: Expected estimate calculation unit
350: bid management unit 360: optimal control route proposal unit
370: control area inspection unit 380: cost settlement unit
390: evaluation management unit 400: cadastral map server
500: weather server

Claims (7)

In the agricultural drone platform system including a control server that relays the conclusion of a control service contract between an applicant terminal, an operator terminal, and a control service applicant and a control operator connected through a network,
A cadastral map server providing cadastral map data to a control server;
Including a weather server that provides weather information to a control server,
The control server includes control application contents including crop types, chemicals, and work dates input from the applicant terminal, and cadastral map information of the control application area including spraying area, slope, and access road information obtained through the cadastral map server, And an estimated estimate calculation unit for calculating the expected cost required for control using the meteorological information of the control application area including rainfall and wind speed obtained through the weather server,
The estimated estimate calculation unit calculates the shortest distance to the control area and the vehicle access road through analysis of the cadastral map provided from the cadastral map server when the vehicle cannot enter the control area, and calculates an estimated estimate according to the calculated shortest distance,
The estimated estimate calculated by the estimated estimate calculation unit is uploaded to the control server so that it can be checked at the applicant terminal and operator terminal, and control operators participate in the bidding provided by the control server through the operator terminal, and control service applicants use the applicant terminal It is configured to select an operator to contract from among control operators participating in the bid,
The estimated estimate calculation unit sets a weight for each item used in calculating the estimated cost, calculates the expected cost by summing the products of the corresponding item and the weight,
The estimated estimate calculation unit recalculates the weights for each item through machine learning using each item used in the estimated cost calculation as an input value and the accumulated contract signing cost as an output value, and using the recalculated weights to calculate the expected estimate. Agricultural drone platform system, characterized in that for updating the expected estimate by a method.
delete According to claim 1,
The prevention server,
A pest control applicant management unit that manages the contents input from the applicant terminal;
A pest control operator management unit that manages the contents input from the operator terminal;
A pest control reservation management unit for storing pest control application information input from the applicant terminal;
An agricultural drone platform system comprising a bidding management unit that provides bidding information to the operator terminal and manages bidding participation information input from the operator terminal to proceed with a contract between the control applicant and the control operator.
delete According to claim 3,
The prevention server,
An optimal control route proposal unit that proposes a control route including the moving direction, altitude and speed of the drone used for control by using the 3-dimensional cadastral map and weather information of the control application area obtained through the cadastral map server and weather server Agricultural drone platform system further comprising.
According to claim 3,
The prevention server,
An agricultural drone platform system further comprising a control area inspection unit that receives an image of the area where the control operation was performed after the control operation is completed by the control operator and evaluates the control capability of the control operator.
According to claim 3,
The prevention server,
An agricultural drone platform system further comprising an evaluation management unit for receiving and storing satisfaction and result feedback of control applicants input through the applicant terminal after the control operation is completed by the control operator.