CN114997511A - UAV-based remote insurance operation method and system - Google Patents

Abstract

The embodiment of the application belongs to the technical field of intelligent insurance, and relates to a remote insurance operation method based on an unmanned aerial vehicle, which comprises the following steps: when a task of the vehicle to be inspected is received, position information of a point of the vehicle to be inspected is obtained; determining a target mesh point with the shortest straight-line distance to the point to be checked according to the position information of the point to be checked and the position information of a plurality of preset mesh points; outputting a first control instruction to a target network point to control the unmanned aerial vehicle to fly to a vehicle inspection point; when receiving the real-time image information of the to-be-inspected vehicle point returned by the unmanned aerial vehicle, outputting a second control instruction to control the unmanned aerial vehicle to return to a target network point; and formulating an accident insurance claim settlement scheme according to the real-time image information of the vehicle points to be inspected. The application also provides a remote insurance operating system based on the unmanned aerial vehicle, computer equipment and a storage medium thereof.

Description

UAV-based remote insurance operation method and system

technical field

The present application relates to the technical field of intelligent insurance, and in particular, to a remote insurance operation method, system, computer equipment and storage medium thereof based on drones.

Background technique

Due to the vast territory of our country and the scattered living in many border cities, such as large areas, insurance operations such as claims settlement, survey, insurance vehicle inspection, etc. have the problem that the distance between the institution and the user is relatively long, and the single operation cost is high. This problem is in Some Yunnan-Guizhou Plateau, northern Shaanxi, etc., which are relatively inconvenient for transportation, also exist. Due to the existing insurance process and on-site survey requirements, the survey staff will personally go to the site to take photos and obtain on-site information, which will affect the traffic and the region, making it difficult for some branch staff to conduct on-site surveys.

SUMMARY OF THE INVENTION

The purpose of the embodiments of the present application is to propose a remote insurance operation method, system, computer equipment and storage medium based on UAV, so as to solve the technical problem that the impact on the traffic and the region makes it difficult for the staff of some outlets to conduct on-site surveys.

In order to solve the above technical problems, the embodiment of the present application provides a remote insurance operation method based on a drone, which adopts the following technical solution: the method includes the following steps:

When receiving the vehicle to be inspected task, obtain the location information of the vehicle to be inspected;

Determine the target network point with the shortest straight-line distance from the vehicle point to be inspected according to the position information of the vehicle inspection point and the position information of a plurality of preset network points;

Output the first control command to the target network to control the drone to fly to the vehicle inspection point;

When receiving the real-time image information of the vehicle-to-be-inspected point returned by the drone, output a second control command to control the drone to return to the target network;

According to the real-time image information of the vehicle to be inspected, an accident insurance claim settlement plan is formulated.

Further, the step of obtaining the location information of the vehicle to be inspected point when receiving the vehicle to be inspected task includes:

When the task to be inspected is received, an instruction to inquire about the user's precise location information is generated and pushed to the user's mobile terminal;

According to the user's precise location information fed back by the user, the location information of the vehicle to be inspected is obtained.

Further, after the step of determining the target network point with the shortest straight-line distance from the vehicle point to be inspected according to the location information of the vehicle inspection point and the position information of a plurality of preset network points, the method further includes:

When the straight-line distance between the vehicle inspection point and the target network point is within the preset distance and the preset distance, formulate a manual attendance plan;

When the straight-line distance between the vehicle inspection point and the target network point is more than the preset distance and within the maximum range covered by the target network point, formulate the UAV attendance plan, and execute the steps to output the first control command to the target network point to control the The drone flies to the vehicle inspection point;

When the straight-line distance between the vehicle inspection point and the target network point exceeds the maximum range covered by the target network point, re-execute the steps to determine the straight line with the vehicle inspection point according to the position information of the vehicle inspection point and the position information of a plurality of preset network points. The target site with the shortest distance.

Further, when the straight-line distance between the vehicle inspection point and the target network point exceeds the maximum range covered by the target network point, the step is re-executed according to the position information of the vehicle inspection point and the position information of a plurality of preset network points. After the step of the target network point with the shortest straight-line distance of the vehicle inspection point, the method further includes:

After re-executing the determination of the target network point, the straight-line distance between the vehicle inspection point and the target network point still exceeds the maximum range covered by the target network point, and a user assistance plan is formulated.

Further, the step of formulating the UAV attendance plan includes:

Extract the cause of the accident according to the task of the vehicle to be inspected;

Determine the accident area to be inspected according to the cause of the accident;

When the drone detects an accident vehicle, the drone moves to the accident area of the vehicle to be inspected to capture real-time image information of the vehicle to be inspected.

Further, the step of outputting a second control instruction when receiving the real-time image information of the vehicle-to-be-inspected point returned by the drone, and controlling the drone to return to the target network point includes:

When receiving the real-time image information of the vehicle to be inspected returned by the drone, determine whether the received real-time image information is complete;

When the received real-time image information is complete, output the second control command to control the drone to return to the target network;

When the received real-time image information is incomplete, a third control command is output to control the drone to re-shoot the image information of the accident area of the vehicle to be inspected.

Further, the step of outputting a third control instruction when the received real-time image information is incomplete, and controlling the drone to re-shoot the image information of the accident area of the vehicle to be inspected includes:

When the received real-time image information is incomplete, determine the current posture of the vehicle to be inspected according to the real-time image information;

Determine the accident orientation of the accident area of the vehicle to be inspected under the current attitude of the vehicle to be inspected;

When the accident direction is towards the ground, formulate a user assistance plan;

When the accident direction is not facing the ground, the third control command is output to control the drone to re-shoot the image information of the accident area of the vehicle to be inspected.

In order to solve the above technical problems, the embodiments of the present application also provide a remote insurance operation system based on UAV, the system includes:

The acquiring module is used to acquire the location information of the vehicle to be inspected when the task of the vehicle to be inspected is received;

A determination module, configured to determine the target network point with the shortest straight-line distance from the vehicle point to be inspected according to the position information of the vehicle point to be inspected and the position information of a plurality of preset network points;

The output command module is used to output the first control command to the target network point to control the drone to fly to the vehicle inspection point;

The receiving module is used for outputting a second control command when receiving the real-time image information of the vehicle inspection point returned by the UAV, and controlling the UAV to return to the target network point;

The formulating scheme module is used to formulate an accident insurance claim settlement scheme according to the real-time image information of the vehicle to be inspected.

In order to solve the above technical problem, an embodiment of the present application further provides a computer device, which adopts the following technical solution: comprising a memory and a processor, wherein the memory stores computer-readable instructions, and the processor executes the The computer-readable instructions implement the steps of the above-mentioned UAV-based remote insurance operation method.

In order to solve the above technical problem, an embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solution: the computer-readable storage medium stores computer-readable instructions, and the computer-readable instructions The steps of implementing the UAV-based remote insurance operation method as described above when executed by the processor.

Compared with the prior art, the embodiment of the present application mainly has the following beneficial effects: by obtaining the location information of the vehicle inspection point when receiving the vehicle inspection task; according to the location information of the vehicle inspection point and a plurality of preset network points Determine the target network point with the shortest straight-line distance to the vehicle inspection point; output the first control command to the target network point to control the drone to fly to the vehicle inspection point; when receiving the vehicle inspection point returned by the UAV When the real-time image information is obtained, the second control command is output to control the drone to return to the target network; an accident insurance claim settlement plan is formulated according to the real-time image information of the vehicle to be inspected. Overcoming traffic and geographical barriers, quickly obtaining on-site survey accident images and claim settlement plans, reducing the difficulty of on-site surveys for branch staff, improving the efficiency of claims settlement by branch staff, and increasing the service enthusiasm of branch staff.

Description of drawings

In order to illustrate the solutions in the present application more clearly, the following will briefly introduce the accompanying drawings used in the description of the embodiments of the present application. For those of ordinary skill, other drawings can also be obtained from these drawings without any creative effort.

FIG. 1 is an exemplary system architecture diagram to which the present application can be applied;

FIG. 2 is a flow chart of an embodiment of a remote insurance operation method based on a drone;

3 is a schematic structural diagram of an embodiment of a drone-based remote insurance operation system;

FIG. 4 is a schematic structural diagram of an embodiment of a computer device according to the present application.

Detailed ways

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of this application; the terms used herein in the specification of the application are for the purpose of describing specific embodiments only It is not intended to limit the application; the terms "comprising" and "having" and any variations thereof in the description and claims of this application and the above description of the drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings.

As shown in FIG. 1 , the system architecture 100 may include terminal devices 101 , 102 , and 103 , a network 104 and a server 105 . The network 104 is a medium used to provide a communication link between the terminal devices 101 , 102 , 103 and the server 105 . The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user can use the terminal devices 101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages and the like. Various communication client applications may be installed on the terminal devices 101 , 102 and 103 , such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, and the like.

The terminal devices 101, 102, and 103 may be various electronic devices that have a display screen and support web browsing, including but not limited to smart phones, tablet computers, e-book readers, and MP3 players (Moving Picture Experts Group Audio Layer III, moving picture experts). Compression Standard Audio Layer 3), MP4 (Moving PictureExperts Group Audio Layer IV, Moving Picture Experts Compression Standard Audio Layer 4) Players, Laptops and Desktops, etc.

The server 105 may be a server that provides various services, such as a background server that provides support for the pages displayed on the terminal devices 101 , 102 and 103 .

It should be noted that the UAV-based remote insurance operation method provided by the embodiments of the present application is generally executed by a server, and accordingly, the UAV-based remote insurance operation system is generally set in the server.

It should be understood that the numbers of terminal devices, networks and servers in FIG. 1 are merely illustrative. There can be any number of terminal devices, networks and servers according to implementation needs.

Continuing to refer to FIG. 2 , there is shown a flow chart of one embodiment of a method for remote insurance operation based on a drone according to the present application. The UAV-based remote insurance operation method includes the following steps:

Step S201, when receiving the vehicle inspection task to be inspected, obtain the location information of the vehicle inspection point;

It should be noted that the vehicle inspection task is a report or vehicle inspection task sent by the user in the event of an accident. In the vehicle inspection task sent by the user, the location information of the vehicle inspection point is retrospectively obtained according to the network, and in this In the embodiment, a task bar for filling in the cause of the accident is set in the report or vehicle inspection task that the user sends by himself when an accident occurs, and the accident cause filled in by the user in the previous stage is compared with the accident details of the subsequent investigation. Then the user does not have fraudulent insurance, and when the two do not match, further identify whether the user has fraudulent insurance.

Wherein, when the task of vehicle inspection to be inspected is received, an instruction for querying the user's precise location information is generated and pushed to the user's mobile terminal, and the location information of the vehicle to be inspected point is obtained according to the user's precise location information fed back by the user. Of course, for the sake of user privacy, for the acquisition of the user's precise location information, an instruction to inquire about the user's precise location information is generated after the vehicle inspection task sent by the user and pushed to the user's mobile terminal. When the user receives the inquiry on the mobile terminal, the user feedback The precise location information is sent to the system, and the system obtains the location information of the vehicle to be inspected.

Step S202, determining the target network point with the shortest straight-line distance from the vehicle point to be inspected according to the position information of the vehicle point to be inspected and the position information of a plurality of preset network points;

In this embodiment, taking the position information of the vehicle to be inspected as the center, searching for a preset network point within a radius that spreads outward, using the radius as the calculation carrier to obtain the target network point within the smallest radius, and identifying the target network point as the same as the vehicle to be inspected The straight-line distance between points is the shortest. Among them, the preset outlets are pre-set service outlets, which are convenient for the staff to carry out local insurance and survey work.

Specifically, of course, a distance range requirement is also set for the straight-line distance between the target network point and the vehicle-to-be-inspected point in this embodiment: when the straight-line distance between the vehicle-to-be-inspected point and the target network point is within the preset distance and the preset distance , formulate a manual attendance plan; when the straight-line distance between the vehicle inspection point and the target network point is above the preset distance and within the maximum range covered by the target network point, formulate the drone attendance plan, and execute the steps to output the first number to the target network point. A control command to control the drone to fly to the vehicle inspection point; when the straight-line distance between the vehicle inspection point and the target network point exceeds the maximum range covered by the target network point, the steps are re-executed according to the location information of the vehicle inspection point and The location information of multiple preset outlets determines the target outlet with the shortest straight-line distance from the vehicle inspection point; after re-executing the determination of the target outlet, the straight-line distance between the vehicle inspection spot and the target outlet still exceeds the maximum range covered by the target outlet , develop user assistance programs. The preset distance is smaller than the maximum range covered by the target network point. In this embodiment, the preset distance is 20km, and the maximum range covered by the target network point is 40km. Of course, in another embodiment, the preset distance can be 1km, 2km , 3km, 5km, 10km, 10km and other natural numbers, the maximum range covered by the target network can be one of 10km, 15km, 20km, 30km, 40km, 50km and other natural numbers.

It should be noted that the UAV attendance plan is that the system extracts the cause of the accident according to the task of the vehicle to be inspected, and then determines the accident area of the vehicle to be inspected according to the cause of the accident, so that when the UAV detects the accident vehicle, the UAV moves to the waiting vehicle. The real-time image information of the vehicle to be inspected is captured at the accident area of the vehicle inspection. Specifically, when the drone detects the accident vehicle, the accident area of the vehicle to be inspected determined by the system is combined with the current attitude of the accident vehicle to calculate and move to the vehicle to be inspected. The moving path of the accident area of the vehicle, and the drone moves to the accident area of the vehicle to be inspected according to the moving path to capture real-time image information of the vehicle to be inspected.

The manual attendance plan is specifically for the staff to obtain the user's insurance record from the system and the system's claim settlement plan predicted according to the accident area of the car to be inspected, and drive the vehicle to the car to be inspected for manual on-site inspection.

The user assistance scheme is specifically that after obtaining the user's permission and consent, the staff can assist the user to shoot the required image data under the vision of the drone. This can not only accurately obtain the image information of the accident area of the vehicle to be inspected, but also avoid the user's insurance fraud behavior, prevent the occurrence of insurance fraud risks, and also meet the needs of users in various regions to the greatest extent.

Step S203, outputting a first control command to the target network point to control the drone to fly to the vehicle inspection point;

When it is determined to release the drone for inspection and inspection of the vehicle to be inspected, when the target outlet receives the inspection task of the vehicle to be inspected sent by the system, the subsystem set by the target outlet will receive the inspection task of the vehicle to be inspected, and assign the inspection task of the vehicle to be inspected to The staff of the target site, the staff takes out the operation equipment of the drone, and when the preparation state of the drone is ready, the staff controls the drone to perform the flight task, wherein the first control command at least includes the system sending to The instruction of the inspection task of the vehicle to be inspected at the target site. The inspection task of the car to be inspected is the task of controlling the drone to move to the inspection point of the vehicle to be inspected for real-time image information.

Step S204, when receiving the real-time image information of the vehicle point to be inspected returned by the drone, output a second control instruction to control the drone to return to the target network point;

When the drone arrives at the vehicle inspection point, it performs the shooting task and sends back real-time image information of the vehicle inspection point in real time. After the shooting task is completed, the drone returns to the target site by itself. Since the drone has an automatic return function, after the drone completes the shooting task, the back-end staff can set the drone to return, wherein the second control command at least includes the command to control the drone to return to the target network. instructions, including planning the flight path of the drone.

As to whether the real-time image information of the vehicle-to-be-inspected point returned by the drone has integrity, this embodiment also proposes a completeness judgment scheme: when receiving the real-time image information of the vehicle-to-be-inspected point returned by the drone, determine Whether the received real-time image information is complete; when the received real-time image information is complete, the second control command is output to control the drone to return to the target site; when the received real-time image information is incomplete, the third control command is output to control no The man-machine re-shoots the image information of the accident area of the vehicle to be inspected, and specifically, determines the current attitude of the vehicle to be inspected according to the real-time image information; determines the accident orientation of the accident area of the vehicle to be inspected under the current attitude of the vehicle to be inspected; When the orientation is towards the ground, a user assistance plan is formulated; when the accident orientation is not towards the ground, a third control command is output to control the drone to re-shoot the image information of the accident area of the vehicle to be inspected. Wherein, the third control instruction at least includes an instruction to control the drone to re-shoot image information of the accident area of the vehicle to be inspected.

Step S205, formulate an accident insurance claim settlement plan according to the real-time image information of the vehicle to be inspected.

According to the real-time image information of the vehicle to be inspected, the current accident is judged, the degree of damage of the vehicle to be inspected is determined, and an accident insurance claim settlement plan is formulated according to the degree of damage of the vehicle to be inspected. For example, the damage degree of the vehicle to be inspected is mainly based on whether the vehicle to be inspected is damaged to the main parts. When the car to be inspected is damaged to the main parts, it is determined that the damage degree is at the fourth-level damage level or above. When the vehicle to be inspected is not damaged When the main parts are reached, the damage degree is considered to be grade five. Of course, the damage degree is determined according to the proportion of damage to the main parts. When the proportion of damage to the main parts is 70% or more, the damage degree is considered to be the first level of damage; when the proportion of damage to the main parts is 50% and above , the damage degree is considered to be the second-level damage level; when the proportion of damage to the main parts is 30% or more, the damage degree is determined to be the third-level damage level; when the proportion of damage to the main parts is 10% or more, it is determined that the damage is The degree of damage is grade four. According to the corresponding damage level, there is a corresponding accident insurance claim plan. The specific accident insurance claims plan is determined according to the user's insured amount, the direction of the claim and the vehicle valuation.

In this embodiment, the location information of the vehicle to be inspected point is obtained when the vehicle to be inspected task is received; Target network point; output the first control command to the target network point to control the drone to fly to the vehicle inspection point; when receiving the real-time image information of the vehicle inspection point returned by the drone, output the second control command to control no The man-machine returns to the target outlet; an accident insurance claim settlement plan is formulated according to the real-time image information of the vehicle to be inspected. Overcoming traffic and geographical barriers, quickly obtaining on-site survey accident images and claim settlement plans, reducing the difficulty of on-site surveys for branch staff, improving the efficiency of claims settlement by branch staff, and increasing the service enthusiasm of branch staff.

It should be emphasized that, in order to further ensure the privacy and security of the above-mentioned control instructions of the UAV and the image information returned by the UAV, the above-mentioned control instructions of the UAV and the image information returned by the UAV can also be stored in the in a blockchain node.

The blockchain referred to in this application is a new application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain, essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information to verify its Validity of information (anti-counterfeiting) and generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

The embodiments of the present application may acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

The basic technologies of artificial intelligence generally include technologies such as sensors, special artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation/interaction systems, and mechatronics. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning/deep learning.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through computer-readable instructions, and the computer-readable instructions can be stored in a computer-readable storage medium. , when the program is executed, it may include the processes of the foregoing method embodiments. The aforementioned storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM).

It should be understood that although the various steps in the flowchart of the accompanying drawings are sequentially shown in the order indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order and may be performed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and the execution sequence is also It does not have to be performed sequentially, but may be performed alternately or alternately with other steps or at least a portion of sub-steps or stages of other steps.

Further referring to FIG. 3 , as an implementation of the method shown in FIG. 2 above, the present application provides an embodiment of a UAV-based remote insurance operation system, which is similar to the method embodiment shown in FIG. 2 . correspond.

As shown in FIG. 3 , the UAV-based remote insurance operation system 300 in this embodiment includes: an acquisition module 301 , a determination module 302 , an output instruction module 303 , a reception module 304 , and a plan formulation module 305 . in:

The acquiring module 301 is configured to acquire the position information of the vehicle to be inspected point when the task of the vehicle to be inspected is received;

The determining module 302 is configured to determine the target network point with the shortest straight-line distance from the vehicle point to be inspected according to the position information of the vehicle inspection point and the position information of a plurality of preset network points;

The output command module 303 is used to output the first control command to the target network point, so as to control the drone to fly to the vehicle inspection point;

The receiving module 304 is used for outputting a second control instruction when receiving the real-time image information of the vehicle point to be inspected returned by the drone, so as to control the drone to return to the target network point;

The formulating scheme module 305 is used for formulating an accident insurance claim settlement scheme according to the real-time image information of the vehicle inspection point.

In this embodiment, the location information of the vehicle to be inspected point is obtained when the vehicle to be inspected task is received; Target network point; output the first control command to the target network point to control the drone to fly to the vehicle inspection point; when receiving the real-time image information of the vehicle inspection point returned by the drone, output the second control command to control no The man-machine returns to the target outlet; an accident insurance claim settlement plan is formulated according to the real-time image information of the vehicle to be inspected. Overcoming traffic and geographical barriers, quickly obtaining on-site survey accident images and claim settlement plans, reducing the difficulty of on-site surveys for branch staff, improving the efficiency of claims settlement by branch staff, and increasing the service enthusiasm of branch staff.

In some optional implementations of this embodiment, the obtaining module 301 includes:

The inquiry sub-module is used to generate an instruction to inquire about the user's precise location information and push it to the user's mobile terminal when the task to be inspected is received;

The obtaining sub-module is used to obtain the position information of the vehicle to be inspected according to the user's precise position information fed back by the user.

In some optional implementations of this embodiment, the UAV-based remote insurance operation system 300 further includes:

The judgment sub-module is used to formulate a manual attendance plan when the straight-line distance between the vehicle-to-be-inspected point and the target network point is within the preset distance and the preset distance; when the linear distance between the vehicle-to-be-inspected point and the target network point is within the preset distance Set the distance above and within the maximum range covered by the target network, formulate the drone attendance plan, and execute the steps to output the first control command to the target network to control the drone to fly to the vehicle inspection point; when the vehicle inspection point If the straight-line distance from the target network point exceeds the maximum range covered by the target network point, re-execute the steps to determine the target network point with the shortest straight-line distance from the vehicle-to-be-inspected point according to the location information of the vehicle-to-be-inspected point and the location information of multiple preset network points ; After re-executing the determination of the target network point, the straight-line distance between the vehicle inspection point and the target network point still exceeds the maximum range covered by the target network point, and a user assistance plan is formulated.

In some optional implementations of this embodiment, the judging submodule includes:

Extraction subunit, used for extracting the cause of the accident according to the task of the vehicle to be inspected;

Determining sub-unit for determining the accident area of the vehicle to be inspected according to the cause of the accident;

A sub-unit is formulated, which is used to formulate a scheme in which when the drone detects an accident vehicle, the drone moves to the accident area of the vehicle to be inspected to capture real-time image information of the vehicle to be inspected.

In some optional implementations of this embodiment, the receiving module 304 includes:

The judgment sub-module is used to judge whether the received real-time image information is complete when receiving the real-time image information of the vehicle-to-be-inspected point returned by the UAV;

The return-to-home sub-module is used to output the second control command when the received real-time image information is complete to control the drone to return to the target network;

The re-shooting sub-module is used to output a third control instruction when the received real-time image information is incomplete, and control the drone to re-shoot the image information of the accident area of the vehicle to be inspected.

In some optional implementations of this embodiment, the re-shooting submodule includes:

The current attitude determination unit is used to determine the current attitude of the vehicle to be inspected according to the real-time image information when the received real-time image information is incomplete;

The accident location determination unit is used to determine the accident location of the accident area of the vehicle to be inspected under the current attitude of the vehicle to be inspected;

The judgment unit is used to formulate a user assistance plan when the accident direction is facing the ground; when the accident direction is not facing the ground, output a third control command to control the drone to re-shoot the image information of the accident area of the vehicle to be inspected.

To solve the above technical problems, the embodiments of the present application also provide computer equipment. Please refer to FIG. 4 for details. FIG. 4 is a block diagram of a basic structure of a computer device according to this embodiment.

The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that communicate with each other through a system bus. It should be noted that only the computer device 4 with components 41-43 is shown in FIG. 4, but it should be understood that it is not required to implement all of the shown components, and more or less components may be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculation and/or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, special-purpose Integrated circuit (ApplicationSpecific Integrated Circuit, ASIC), programmable gate array (Field-Programmable GateArray, FPGA), digital processor (Digital Signal Processor, DSP), embedded equipment, etc.

The computer equipment may be a desktop computer, a notebook computer, a palmtop computer, a cloud server and other computing equipment. The computer device can perform human-computer interaction with the user through a keyboard, a mouse, a remote control, a touch pad or a voice control device.

The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static Random Access Memory (SRAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Programmable Read Only Memory (PROM), Magnetic Memory, Magnetic Disk, Optical Disk, etc. In some embodiments, the memory 41 may be an internal storage unit of the computer device 4 , such as a hard disk or a memory of the computer device 4 . In other embodiments, the memory 41 may also be an external storage device of the computer device 4 , such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (FlashCard) and so on. Of course, the memory 41 may also include both the internal storage unit of the computer device 4 and its external storage device. In this embodiment, the memory 41 is generally used to store the operating system and various application software installed on the computer device 4 , such as computer-readable instructions of the drone-based remote insurance operation method, and the like. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or will be output.

The processor 42 may be a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4 . In this embodiment, the processor 42 is configured to execute computer-readable instructions stored in the memory 41 or process data, for example, computer-readable instructions for executing the UAV-based remote insurance operation method.

The network interface 43 may include a wireless network interface or a wired network interface, and the network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

In this embodiment, the location information of the vehicle to be inspected point is obtained when the vehicle to be inspected task is received; the straight-line distance to the vehicle to be inspected point is determined according to the location information of the vehicle to be inspected point and the location information of a plurality of preset network points The shortest target network point; output the first control command to the target network point to control the drone to fly to the vehicle inspection point; when receiving the real-time image information of the vehicle inspection point returned by the drone, output the second control command, Control the drone to return to the target site; formulate an accident insurance claim plan based on the real-time image information of the vehicle to be inspected. Overcoming traffic and geographical barriers, quickly obtaining on-site survey accident images and claim settlement plans, reducing the difficulty of on-site surveys for branch staff, improving the efficiency of claims settlement by branch staff, and increasing the service enthusiasm of branch staff.

The present application also provides another embodiment, that is, to provide a computer-readable storage medium, where the computer-readable storage medium stores computer-readable instructions, and the computer-readable instructions can be executed by at least one processor to The at least one processor is caused to perform the steps of the drone-based remote insurance operation method as described above.

In this embodiment, the location information of the vehicle-to-be-inspected point is obtained when the vehicle-to-be-inspected task is received; the shortest straight-line distance to the vehicle-to-be-inspected point is determined according to the location information of the vehicle-to-be-inspected point and the location information of multiple preset network points the target network; output the first control command to the target network to control the drone to fly to the vehicle inspection point; when receiving the real-time image information of the vehicle inspection point returned by the drone, output the second control command to control The drone returns to the target outlet; an accident insurance claim settlement plan is formulated based on the real-time image information of the vehicle to be inspected. Overcoming traffic and geographical barriers, quickly obtaining on-site survey accident images and claim settlement plans, reducing the difficulty of on-site surveys for branch staff, improving the efficiency of claims settlement by branch staff, and increasing the service enthusiasm of branch staff.

From the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or in a part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, CD-ROM), including several instructions to make a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) execute the methods described in the various embodiments of this application.

Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The accompanying drawings show the preferred embodiments of the present application, but do not limit the scope of the patent of the present application. This application may be embodied in many different forms, rather these embodiments are provided so that a thorough and complete understanding of the disclosure of this application is provided. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or perform equivalent replacements for some of the technical features. . Any equivalent structure made by using the contents of the description and drawings of the present application, which is directly or indirectly used in other related technical fields, is also within the scope of protection of the patent of the present application.

Claims (10)

1. A remote insurance operation method based on an unmanned aerial vehicle is characterized by comprising the following steps:

when a vehicle to be checked task is received, position information of a vehicle to be checked point is obtained;

determining a target mesh point with the shortest straight-line distance to the vehicle inspection point according to the position information of the vehicle inspection point and the position information of a plurality of preset mesh points;

outputting a first control instruction to a target network point to control the unmanned aerial vehicle to fly to a vehicle inspection point;

when receiving the real-time image information of the to-be-inspected vehicle point returned by the unmanned aerial vehicle, outputting a second control instruction to control the unmanned aerial vehicle to return to a target network point;

and formulating an accident insurance claim settlement scheme according to the real-time image information of the vehicle points to be inspected.

2. The unmanned aerial vehicle-based remote insurance operation method according to claim 1, wherein the step of acquiring location information of the vehicle to be inspected when the vehicle to be inspected task is received comprises:

when a task of waiting for vehicle inspection is received, generating an instruction for inquiring the accurate position information of the user and pushing the instruction to the mobile terminal of the user;

and acquiring the position information of the vehicle waiting to be inspected according to the accurate position information of the user fed back by the user.

3. The unmanned aerial vehicle-based remote insurance working method according to claim 1, wherein after the step of determining the target network point having the shortest straight-line distance to the vehicle inspection point according to the position information of the vehicle inspection point and the position information of a plurality of preset network points, the method further comprises:

when the linear distance between the vehicle to be checked and the target network point is within the preset distance and the preset distance, an artificial attendance scheme is formulated;

when the linear distance between the to-be-inspected vehicle and the target network point is more than a preset distance and within the maximum range covered by the target network point, an unmanned aerial vehicle attendance scheme is formulated, and the step is executed to output a first control instruction to the target network point so as to control the unmanned aerial vehicle to fly to the to-be-inspected vehicle;

and when the linear distance between the vehicle to be inspected and the target mesh point exceeds the maximum range covered by the target mesh point, re-executing the step to determine the target mesh point with the shortest linear distance to the vehicle to be inspected according to the position information of the vehicle to be inspected and the position information of a plurality of preset mesh points.

4. The unmanned aerial vehicle-based remote insurance working method according to claim 3, wherein after the step of determining the target network point having the shortest straight-line distance to the vehicle inspection point according to the position information of the vehicle inspection point and the position information of a plurality of preset network points when the straight-line distance between the vehicle inspection point and the target network point exceeds the maximum range covered by the target network point, the method further comprises:

and after the target network point is determined again, the straight-line distance between the vehicle to be checked and the target network point still exceeds the maximum range covered by the target network point, and a user assistance scheme is formulated.

5. The drone-based remote insurance operation method of claim 3, wherein the step of formulating a drone attendance scheme includes:

extracting accident reasons according to the task of the vehicle to be inspected;

determining an accident area of the vehicle to be inspected according to the accident reason;

and when the unmanned aerial vehicle detects an accident vehicle, the unmanned aerial vehicle shoots the real-time image information of the point to be inspected from the accident area of the point to be inspected.

6. The remote insurance operation method based on unmanned aerial vehicle as claimed in claim 5, wherein the step of outputting a second control instruction when receiving the real-time image information of the point to be inspected returned by the unmanned aerial vehicle, and controlling the unmanned aerial vehicle to return to the target network point comprises:

when receiving real-time image information of a to-be-inspected vehicle point returned by the unmanned aerial vehicle, judging whether the received real-time image information is complete;

when the received real-time image information is complete, outputting a second control instruction to control the unmanned aerial vehicle to return to the target network point;

and when the received real-time image information is incomplete, outputting a third control instruction to control the unmanned aerial vehicle to shoot the image information of the accident area of the vehicle to be inspected again.

7. The unmanned aerial vehicle-based remote insurance working method according to claim 6, wherein when the received real-time image information is incomplete, a third control instruction is output, and the step of controlling the unmanned aerial vehicle to re-shoot the image information of the accident area of the vehicle to be inspected comprises the steps of:

when the received real-time image information is incomplete, determining the current posture of the vehicle to be inspected according to the real-time image information;

determining the accident direction of the accident area of the vehicle to be inspected under the current posture of the vehicle to be inspected;

when the accident direction faces the ground, a user assistance scheme is formulated;

and when the accident direction is not towards the ground, outputting a third control instruction to control the unmanned aerial vehicle to shoot the image information of the accident area of the vehicle to be inspected again.

8. A remote insurance operating system based on unmanned aerial vehicle, characterized in that, the system includes:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the position information of a vehicle waiting point when receiving a vehicle waiting task;

the determining module is used for determining a target mesh point with the shortest straight-line distance to the point to be checked according to the position information of the point to be checked and the position information of a plurality of preset mesh points;

the output instruction module is used for outputting a first control instruction to the target network point so as to control the unmanned aerial vehicle to fly to a vehicle inspection point;

the receiving module is used for outputting a second control instruction to control the unmanned aerial vehicle to return to a target network point when receiving the real-time image information of the to-be-inspected vehicle point returned by the unmanned aerial vehicle;

and the scheme making module is used for making an accident insurance claim settlement scheme according to the real-time image information of the vehicle inspection point.

9. A computer device comprising a memory having computer readable instructions stored therein and a processor that when executed performs the steps of the drone-based remote insurance job method of any one of claims 1 to 7.

10. A computer readable storage medium having computer readable instructions stored thereon which, when executed by a processor, implement the steps of the drone-based remote insurance operation method of any one of claims 1 to 7.

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