A focus target management method and device, electronic equipment and storage medium

Abstract

The present application relates to the field of insurance target monitoring, and particularly relates to a key target management method and device, electronic equipment and storage medium, obtaining a newly added key target area range and monitoring time, and sending the obtained newly added key target area range and monitoring time to a second server; obtaining remote sensing images and metadata thereof provided by the second server according to the newly added key target area range and monitoring time at a first time interval period, storing the obtained remote sensing images and metadata thereof respectively, and establishing an association for the remote sensing images and metadata thereof; obtaining a search request, and obtaining matched remote sensing images according to the search request; in the above manner, remote sensing images of key targets to be monitored are periodically obtained, and the obtained remote sensing images and metadata thereof are stored respectively, so as to facilitate systematic and effective risk investigation of key targets, and facilitate rapid and effective comparison of historical risk information.

Description

Technical Field

[0001] This invention relates to the field of insured object monitoring, and more particularly to a method, apparatus, electronic device, and storage medium for managing key objects. Background Technology

[0002] In existing technologies, property insurance companies often underwrite a large number of high-risk, key assets, which presents challenges such as difficulty in monitoring and high patrol costs. This is particularly true for overseas and some offshore projects, where the risks are high and the investigation costs are extremely high, making effective risk management impossible. Furthermore, insurance companies currently lack dedicated risk assessment systems, making it impossible to establish asset monitoring and risk assessment databases for key assets. Information from each risk assessment is not stored, hindering the effective utilization of historical risk information and a more comprehensive understanding of regional risk conditions, thus preventing effective risk assessment of key assets. Summary of the Invention

[0003] The purpose of this invention is to provide a method, apparatus, electronic device and storage medium for managing key targets, so as to solve the technical problem that the prior art cannot conduct risk surveys of key targets in a timely and effective manner.

[0004] The technical solution of the present invention is as follows: A key target management method is provided, applied to a first server, comprising:

[0005] Obtain the area range and monitoring time of the newly added key targets, and send the obtained area range and monitoring time of the newly added key targets to the second server;

[0006] The remote sensing images and their metadata provided by the second server based on the area range and monitoring time of the newly added key targets are acquired at a first time interval. The acquired remote sensing images and their metadata are stored separately, and a relationship is established between the remote sensing images and their metadata.

[0007] Obtain a search request, and retrieve the matching remote sensing image based on the search request.

[0008] As an optional implementation, obtaining the area range and monitoring time of the newly added key targets includes:

[0009] Scan the preset path at a second time interval to identify whether there is a newly added GeoJSON format document, which is used to record the area range and monitoring time of the newly added key target;

[0010] If so, the newly added GeoJSON format document will be imported into the first database, which is a relational database.

[0011] As an optional implementation, the step of acquiring remote sensing images and their metadata provided by the second server based on the area range and monitoring time of the newly added key target at a first time interval includes:

[0012] The system uses a scheduled task to identify whether there are any newly added remote sensing images and their metadata that have not been retrieved in the cloud system. The execution cycle of the scheduled task is a first time interval.

[0013] If so, retrieve the newly added remote sensing image and its metadata.

[0014] As an optional implementation, before storing the acquired remote sensing images and their metadata, the method further includes:

[0015] The remote sensing image is switched to a different band, and the switched remote sensing image is truncated and stretched according to a preset ratio. The truncated and stretched remote sensing image is then sliced.

[0016] As an optional implementation, storing the acquired remote sensing images and their metadata separately includes: storing the remote sensing images in a second database, which is a non-relational database, and storing the metadata of the remote sensing images in a third database, which is a relational database.

[0017] As an optional implementation, the area range of the newly added key marker is the latitude and longitude range of the newly added key marker; the metadata of the remote sensing image includes the latitude and longitude range of the remote sensing image and the time of the remote sensing image acquisition.

[0018] As an optional implementation, the search request includes the latitude and longitude range of the target and the target shooting time;

[0019] The step of obtaining a retrieval request and obtaining the matching remote sensing image based on the retrieval request includes:

[0020] Obtain the latitude and longitude range and target shooting time of the search target. Compare the latitude and longitude range and shooting time of each remote sensing image in the second database with the latitude and longitude range and target shooting time of the search target. If the latitude and longitude range of the remote sensing image coincides with the latitude and longitude range of the search target, and the shooting time of the remote sensing image is the same as the target shooting time, then determine that the remote sensing image matches the search request.

[0021] Another technical solution of the present invention is as follows: A key target management device is provided, applied to a first server, comprising:

[0022] The key target acquisition module is used to acquire the regional range and monitoring time of newly added key targets, and send the acquired regional range and monitoring time of newly added key targets to the second server;

[0023] The remote sensing image acquisition module is used to acquire remote sensing images and their metadata provided by the second server according to the area range and monitoring time of the newly added key target at a first time interval, store the acquired remote sensing images and their metadata respectively, and establish a association between the remote sensing images and their metadata.

[0024] The remote sensing image matching module is used to obtain a search request and obtain the matching remote sensing image based on the search request.

[0025] Another technical solution of the present invention is as follows: An electronic device is provided, including a processor and a memory coupled to the processor, the memory storing program instructions that can be executed by the processor; when the processor executes the program instructions stored in the memory, it implements the above-mentioned key target management method.

[0026] Another technical solution of the present invention is as follows: a storage medium is provided, wherein program instructions are stored in the storage medium, and the program instructions are executed by a processor to implement the above-mentioned key target management method.

[0027] The present invention discloses a key target management method, apparatus, electronic device, and storage medium, which acquires the area range and monitoring time of newly added key targets and sends the acquired area range and monitoring time of the newly added key targets to a second server; periodically acquires remote sensing images and their metadata provided by the second server based on the area range and monitoring time of the newly added key targets at a first time interval, stores the acquired remote sensing images and their metadata separately, and establishes a association between the remote sensing images and their metadata; acquires a retrieval request, and retrieves the matching remote sensing images according to the retrieval request; through the above method, remote sensing images of key targets to be monitored are acquired periodically, and the acquired remote sensing images and their metadata are stored separately, which facilitates systematic, timely, and effective risk assessment of key targets. When conducting risk assessment of key targets, the matching remote sensing images can be retrieved according to the retrieval request, which facilitates rapid and effective comparison of historical risk information. Attached Figure Description

[0028] Figure 1 This is an application scenario diagram of the key target management method of the first embodiment of the present invention;

[0029] Figure 2 This is a flowchart illustrating the key target management method according to the first embodiment of the present invention;

[0030] Figure 3This is a schematic diagram of the structure of the key target management device according to the second embodiment of the present invention;

[0031] Figure 4 This is a schematic diagram of the structure of an electronic device according to the third embodiment of the present invention;

[0032] Figure 5 This is a schematic diagram of the structure of the storage medium according to the fourth embodiment of the present invention. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0034] The terms "first," "second," and "third" used in this invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this invention are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indications also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0035] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0036] The key target management method provided by this invention can be applied to, for example... Figure 1In the application environment, the first server 100 obtains the area range and monitoring time of the key targets added by the user to the remote sensing image cloud platform 200, and sends the obtained area range and monitoring time of the newly added key targets to the second server 300; the second server 300 periodically sends the corresponding remote sensing images and their metadata to the cloud system 400 according to the area range and monitoring time of the newly added key targets; the distributed publish-subscribe messaging system 500 (e.g., Kafka) retrieves the remote sensing images and their metadata from the cloud system 400 at a first time interval and sends them to the first server 100; the remote sensing image cloud platform 200 accepts the user's search request and sends it to the first server 100; the first server 100 obtains the matching remote sensing images according to the search request and returns the matching remote sensing images to the remote sensing image cloud platform 200; the remote sensing image cloud platform 200 displays the matching remote sensing images to the user.

[0037] The following explanation uses the first server as the execution subject to illustrate a key target management method provided in the embodiments of this application.

[0038] Figure 2 This is a flowchart illustrating the key target management method according to the first embodiment of the present invention. It should be noted that if substantially the same result is achieved, the key target management method of the present invention does not necessarily follow the same approach. Figure 2 The illustrated process sequence is limited. For example... Figure 2 As shown, a key target management method is provided, which is applied to... Figure 1 The following explanation will be based on the first server in the example, including steps S101 to S103:

[0039] S101, obtain the area range and monitoring time of the newly added key target, and send the obtained area range and monitoring time of the newly added key target to the second server.

[0040] In this embodiment, monitoring time refers to the start and end time of monitoring and the monitoring frequency.

[0041] In this embodiment, the second server is a remote sensing image provider.

[0042] In an optional implementation, obtaining the area range and monitoring time of the newly added key target includes: scanning a preset path at a second time interval to identify whether a new GeoJSON format document exists, the GeoJSON format document being used to record the area range and monitoring time of the newly added key target. If so, the new GeoJSON format document is imported into a first database, the first database being a relational database.

[0043] The first database is the PG (PostgreSQL) database.

[0044] GeoJSON documents are flexible and easy to edit, making it convenient to change the information they contain.

[0045] Specifically, importing the newly added GeoJSON format document into the first database includes: importing the newly added GeoJSON format document into the target table of the first database.

[0046] Furthermore, the GeoJSON format document is also used to record the policy information of the newly added key targets. The policy information of the newly added key targets includes the target name, policy number, type of insurance, coverage start and end time, insured amount, underwriting institution, target type and province / city / district.

[0047] When importing the newly added GeoJSON format document into the first database, all data from the document can be imported into the target table of the first database, or only a portion of the data can be imported. Importing all data from the newly added GeoJSON format document into the target table specifically includes: importing the regional scope, monitoring time, and policy information of the newly added key targets into the target table of the first database, where the target table stores the regional scope, monitoring time, and policy information of all key targets. Importing only a portion of the data from the newly added GeoJSON format document into the target table of the first database specifically includes: importing the regional scope and policy information of the newly added key targets into the target table of the first database, where the target table stores the regional scope and policy information of all key targets.

[0048] Furthermore, after importing the newly added GeoJSON format document into the target table of the first database, the method further includes: adding the newly added key target to the management list, establishing a connection between the target table and the management list, whereby the management list displays the target names and basic information of all key targets. The basic information of a key target includes its geographical scope and its policy information. Accordingly, step S101 specifically includes: scanning a preset path at a second time interval to identify whether a newly added GeoJSON format document exists, wherein the GeoJSON format document records the geographical scope, monitoring time, and policy information of the newly added key target. If so, the newly added GeoJSON format document is imported into the target table of the first database, and the newly added key target is added to the management list. A connection is established between the newly added key targets in the management list and the newly added key targets in the target table. The management list is used to display the target name of all key targets and the basic information of all key targets. The basic information of key targets includes the regional scope of the key target and the policy information of the key target. The obtained regional scope and monitoring time of the newly added key target are sent to the second server.

[0049] In this embodiment, the first server can directly obtain the area range, monitoring time, and policy information of the newly added key target. Alternatively, the first server can obtain the area range, monitoring time, and policy information of the newly added key target through the remote sensing image cloud platform.

[0050] In one specific implementation, the first server obtains the area range, monitoring time, and policy information of the newly added key targets through a remote sensing image cloud platform. Accordingly, step S101 specifically includes: the user selects the location of the newly added key target on the map interface of the remote sensing image cloud platform display interface; then, a table dialog box pops up on the remote sensing image cloud platform display interface; the user fills in the area range, monitoring time, and policy information of the newly added key target in the table dialog box; the area range, monitoring time, and policy information of the newly added key target are recorded in a newly added GeoJSON format document; the newly added GeoJSON format document is saved by the first server to a preset path. Every fifteen minutes, the first server automatically scans the preset path for newly added GeoJSON format documents. If a newly added GeoJSON format document is found in the preset path, the first server imports the data from the newly added GeoJSON format document into the target table of the first database. Furthermore, the first server sends the area range and monitoring time of the newly added key target recorded in the newly added GeoJSON format document to the remote sensing image provider. Simultaneously, the first server adds the newly added key targets to the management list of the remote sensing image cloud platform display interface, and establishes a link between the newly added key targets in the management list and the newly added key targets in the target table. The management list is used to display the target name and basic information of all key targets. The basic information of key targets includes the regional scope of the key target and the policy information of the key target.

[0051] Sometimes, because the insured object is an engineering structure, such as a bridge, which has not yet started construction at the time of insurance, it is difficult or even impossible to directly locate the area of ​​the insured object on a map. To solve this problem, in another specific implementation, the first server directly obtains the regional scope, monitoring time, and policy information of the newly added key object. Accordingly, step S101 specifically includes: creating a new GeoJSON format document, recording the regional scope, monitoring time, and policy information of the newly added key object into the GeoJSON format document, wherein the policy information of the newly added key object includes the object name, policy number, insurance type, coverage start and end time, insured amount, underwriting institution, object type, and province / city / district fields. Then, the newly created GeoJSON format document is saved to a preset path. Every fifteen minutes, the first server automatically scans the preset path for newly added GeoJSON format documents. If a newly added GeoJSON format document is found in the preset path, the first server imports the data from the newly added GeoJSON format document into the object table of the first database. Furthermore, the first server sends the newly added key targets' regional scope and monitoring time, recorded in the newly added GeoJSON format document, to the remote sensing image provider. Simultaneously, the first server adds the newly added key targets to the management list of the remote sensing image cloud platform display interface and establishes a link between the newly added key targets in the management list and the newly added key targets in the target table. The management list displays the target name and basic information of all key targets, including the regional scope and policy information of each key target.

[0052] S102, at a first time interval, acquire remote sensing images and their metadata provided by the second server based on the area range and monitoring time of the newly added key target, store the acquired remote sensing images and their metadata respectively, and establish a connection between the remote sensing images and their metadata.

[0053] In this embodiment, the metadata of the remote sensing image includes: the time the remote sensing image was captured, the cloud cover, the satellite name, and the sensor.

[0054] In one optional implementation, the first time interval is 15 minutes.

[0055] In an optional implementation, to improve data transmission security, the first server does not directly retrieve remote sensing images and their metadata from the second server, but instead retrieves them indirectly through a cloud system, wherein the cloud system is the Ping An Cloud system. Accordingly, the step of acquiring the remote sensing images and their metadata provided by the second server based on the area range and monitoring time of the newly added key targets at a first time interval specifically includes: identifying whether there are any unretrieved newly added remote sensing images and their metadata in the cloud system through a scheduled task, wherein the execution period of the scheduled task is the first time interval; if so, the newly added remote sensing images and their metadata are retrieved.

[0056] In an optional implementation, before storing the acquired remote sensing images and their metadata, the method further includes: switching the remote sensing images to different bands; truncating and stretching the band-switched remote sensing images according to a preset ratio; and slicing the truncated and stretched remote sensing images. Switching the remote sensing images to different bands can achieve image enhancement, and slicing can improve the loading speed of the remote sensing images.

[0057] In an optional implementation, storing the acquired remote sensing images and their metadata separately includes: storing the remote sensing images in a second database, the second database being a non-relational database, and storing the metadata of the remote sensing images in a third database, the third database being a relational database.

[0058] In this embodiment, the second database is a MongoDB database.

[0059] In this embodiment, the third database and the first database are the same database. The metadata of the remote sensing images is stored in the image information table of the third database, which is the same as the image information table of the first database. The image information table is used to store the metadata of all remote sensing images.

[0060] In this embodiment, the second server matches corresponding remote sensing images based on the area range and monitoring time of the newly added key targets. It then periodically pushes the corresponding remote sensing images and their metadata to the cloud system via FTP (File Transfer Protocol) and synchronizes them to the big data system's data lake. The distributed publish-subscribe messaging system identifies the remote sensing images and their metadata in the cloud system through scheduled tasks and sends a request queue to the remote sensing image cloud platform. The remote sensing image cloud platform retrieves the remote sensing images and their metadata. Users switch the remote sensing images based on different data sources, truncate and stretch the switched images according to a preset ratio, slice the truncated and stretched images, publish the sliced ​​images to the remote sensing image cloud platform, store the sliced ​​images in the second database, and simultaneously store the metadata of the remote sensing images in the image information table of the third database, establishing a connection between the remote sensing images and their metadata.

[0061] In this embodiment, the remote sensing image cloud platform has a key target management list, displaying the regional scope and policy information of key targets. Users can quickly search and locate key target areas through the management list. The policy information and regional scope of key targets are stored in GeoJSON format, supporting flexible editing. Users can add key targets and customize the remote sensing image monitoring cycle for key targets through this key target management method. Regular high-frequency satellite monitoring of key targets helps users gain a more comprehensive understanding of the risk situation of the target and its surrounding area during pre-insurance underwriting and risk assessment, promptly identifying potential risk points to remind policyholders to make rectifications and reduce losses. Regularly acquiring remote sensing images of key targets and systematically storing all remote sensing images facilitates continuous monitoring of key targets and their surrounding environment, improving the insurance industry's management capabilities for high-risk key targets.

[0062] In one optional implementation, the area range of the newly added key marker is the latitude and longitude range of the newly added key marker; correspondingly, the metadata of the remote sensing image also includes the latitude and longitude range of the remote sensing image. That is, the metadata of the remote sensing image includes the remote sensing image acquisition time, cloud cover, satellite name, sensor, and latitude and longitude range of the remote sensing image.

[0063] S103, Obtain a search request, and obtain the matching remote sensing image according to the search request.

[0064] In order to monitor key targets and conduct risk surveys regularly, in an optional implementation, obtaining search requests specifically includes obtaining search requests at a third time interval.

[0065] In an optional implementation, the search request includes the latitude and longitude range of the search target and the target shooting time. Accordingly, obtaining the search request and acquiring the matching remote sensing image based on the search request includes: obtaining the latitude and longitude range of the search target and the target shooting time; comparing the latitude and longitude range and shooting time of each remote sensing image in the second database with the latitude and longitude range and target shooting time; if the latitude and longitude range of the remote sensing image coincides with the latitude and longitude range of the search target, and the shooting time of the remote sensing image is the same as the target shooting time, then it is determined that the remote sensing image matches the search request.

[0066] Taking monitoring a specific key target as an example, the user selects the location of the new key target on the map interface of the remote sensing image cloud platform. A dialog box then pops up on the platform, where the user fills in the area, monitoring time, and policy information of the new key target. This information is recorded in a newly created GeoJSON document, which is then saved to a preset path by the first server. Every fifteen minutes, the first server automatically scans the preset path for any newly created GeoJSON documents. If a new GeoJSON document is found, the first server imports its data into the target table of the first database. Furthermore, the first server sends the area and monitoring time of the new key target recorded in the GeoJSON document to the remote sensing image provider. Simultaneously, the first server adds the new key target to the management list on the remote sensing image cloud platform and establishes a link between the new key target in the management list and the new key target in the target table. The management list displays the names and basic information of all key targets, including their geographical scope and policy information. The remote sensing image provider matches corresponding remote sensing images based on the geographical scope and monitoring time of the newly added key targets. Then, according to the monitoring time requirements, it periodically pushes the corresponding remote sensing images and their metadata to the cloud system via FTP and synchronizes them to the big data system's data lake. The distributed publish-subscribe messaging system identifies the remote sensing images and their metadata in the cloud system through scheduled tasks and sends a request queue to the remote sensing image cloud platform, which retrieves the images and their metadata. Users perform band switching on the remote sensing images based on different data sources. The band-switched images are then truncated and stretched according to a preset ratio. The truncated and stretched images are then sliced. The sliced ​​images are then published to the remote sensing image cloud platform and stored in a second database. Simultaneously, the metadata of the remote sensing images is stored in the image information table of a third database, and a relationship is established between the remote sensing images and their metadata.To enable regular monitoring of key targets and timely and effective risk assessment, users select the key target from the management list of the remote sensing image cloud platform at a third time interval, and select the target shooting time range. The remote sensing image platform sends a search request to the first server. The first server obtains the latitude and longitude range and target shooting time range of the search target, filters the image information table, and compares the latitude and longitude range and shooting time of each remote sensing image in the second database with the latitude and longitude range and target shooting time range of the search target. If the latitude and longitude range of the remote sensing image matches the target shooting time range... If the latitude and longitude ranges of the search target overlap, and the capture time of the remote sensing image is within the capture time range of the target, then the remote sensing image is determined to match the search request. The first server returns the matching result to the remote sensing image cloud platform. The remote sensing image cloud platform displays an image list of all matching remote sensing images to the user. The image list records the basic image information of all matching remote sensing images, including the image capture time, satellite name, and sensor. After the user selects any column in the image list, the map interface of the remote sensing image display interface can display the remote sensing image corresponding to the information in that column.

[0067] In this embodiment, a target monitoring and risk survey database is established for key targets. Information from each risk survey can be stored in a timely manner, enabling the systematic, timely, and effective use of historical risk information and a more comprehensive understanding of regional risk conditions. This effectively assists insurance risk survey personnel in conducting risk surveys of key targets and saves on-site risk survey costs.

[0068] Figure 3 This is a schematic diagram of the key target management device according to the second embodiment of the present invention. This key target management device 30 corresponds one-to-one with the key target management method in the above embodiments. For example... Figure 3 As shown, the key target management device 30 is applied to a first server. The key target management device 30 includes a key target acquisition module 31, a remote sensing image acquisition module 32, and a remote sensing image matching module 33. The key target acquisition module 31 is used to acquire the area range and monitoring time of newly added key targets and send the acquired area range and monitoring time of the newly added key targets to a second server. The remote sensing image acquisition module 32 is used to acquire remote sensing images and their metadata provided by the second server according to the area range and monitoring time of the newly added key targets at a first time interval, store the acquired remote sensing images and their metadata respectively, and establish a association between the remote sensing images and their metadata. The remote sensing image matching module 33 is used to acquire a search request and acquire the matching remote sensing images according to the search request.

[0069] In an optional implementation, the acquisition of the area range and monitoring time of the newly added key target in the key target acquisition module 31 specifically includes: scanning a preset path at a second time interval to identify whether there is a newly added GeoJSON format document, the GeoJSON format document being used to record the area range and monitoring time of the newly added key target; if so, importing the newly added GeoJSON format document into a first database, the first database being a relational database.

[0070] In an optional implementation, the remote sensing image acquisition module 32 acquires the remote sensing images and their metadata provided by the second server based on the area range and monitoring time of the newly added key targets at a first time interval, specifically including: identifying whether there are any unretrieved newly added remote sensing images and their metadata in the cloud system through a scheduled task, wherein the execution period of the scheduled task is the first time interval; if so, the newly added remote sensing images and their metadata are retrieved.

[0071] In an optional implementation, before storing the acquired remote sensing images and their metadata, the remote sensing image acquisition module 32 is further configured to: switch the remote sensing images to bands, truncate and stretch the remote sensing images after band switching according to a preset ratio, and slice the truncated and stretched remote sensing images.

[0072] In an optional implementation, the remote sensing image acquisition module 32 stores the acquired remote sensing image and its metadata separately, specifically including: storing the remote sensing image in a second database, the second database being a non-relational database, and storing the metadata of the remote sensing image in a third database, the third database being a relational database.

[0073] In one optional implementation, the area range of the newly added key marker is the latitude and longitude range of the newly added key marker; the metadata of the remote sensing image includes the latitude and longitude range of the remote sensing image and the time of acquisition of the remote sensing image.

[0074] In an optional implementation, the retrieval request includes the latitude and longitude range of the retrieval target and the target shooting time; the acquisition of the retrieval request in the remote sensing image matching module 33, and the acquisition of the matching remote sensing image according to the retrieval request, specifically includes: acquiring the latitude and longitude range of the retrieval target and the target shooting time, comparing the latitude and longitude range and shooting time of each remote sensing image in the second database with the latitude and longitude range and target shooting time of the retrieval target, and if the latitude and longitude range of the remote sensing image coincides with the latitude and longitude range of the retrieval target, and the shooting time of the remote sensing image is the same as the target shooting time, then it is determined that the remote sensing image matches the retrieval request.

[0075] In this embodiment, users can add key targets through the key target acquisition module 31, customize the remote sensing image monitoring cycle for key targets, and conduct regular high-frequency satellite monitoring of key targets. This helps users gain a more comprehensive understanding of the risk situation of the target and its surrounding area during pre-insurance underwriting and risk assessment, promptly identify potential risk points to remind policyholders to make rectifications, and reduce losses. The remote sensing image acquisition module 32 periodically acquires remote sensing images of key targets and systematically stores all remote sensing images, facilitating continuous monitoring of key targets and their surrounding environment, and improving the insurance industry's management capabilities for high-risk key targets. The remote sensing image matching module 33 can obtain matching remote sensing images based on the user's search request, facilitating customers to quickly conduct risk assessments and ensuring the timeliness and efficiency of risk assessments.

[0076] Figure 4 This is a schematic diagram of the structure of an electronic device according to the third embodiment of the present invention. Figure 4 As shown, the electronic device 40 includes a processor 41 and a memory 42 coupled to the processor 41. The memory 42 stores program instructions for implementing the key target management method described in any of the above embodiments. When the processor 41 executes the program instructions stored in the memory 42, it implements the steps of the key target management method described in the above embodiments. For example… Figure 2 The steps S101 to S103 shown, and other extensions and related steps of the method. Alternatively, when the processor 41 executes the program instructions stored in the memory 42, it implements the functions of each module / unit of the key target management device in the above embodiments, for example... Figure 3 The functions of the key target acquisition module 31, the remote sensing image acquisition module 32, and the remote sensing image matching module 33 are shown below. To avoid repetition, they will not be described again here.

[0077] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the computer device, connecting various parts of the computer device via various interfaces and lines.

[0078] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, applications required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, video data, etc.).

[0079] The memory can be integrated into the processor or it can be set up separately from the processor.

[0080] See Figure 5 , Figure 5 This is a schematic diagram of the structure of a storage medium according to the fourth embodiment of the present invention. The storage medium 50 of this embodiment stores program instructions 51 capable of implementing all the above methods. The storage medium 50 can be non-volatile or volatile. The program instructions 51 can be stored in the storage medium 50 in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or terminal devices such as computers, servers, mobile phones, and tablets.

[0081] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0082] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

[0083] The above description is merely an embodiment of the present invention. It should be noted that those skilled in the art can make improvements without departing from the inventive concept of the present invention, but these improvements all fall within the protection scope of the present invention.

Claims

1. A key target management method, applied to a first server, characterized in that, include: Obtain the area range and monitoring time of the newly added key targets, and send the obtained area range and monitoring time of the newly added key targets to the second server; The remote sensing images and their metadata provided by the second server based on the area range and monitoring time of the newly added key targets are acquired at a first time interval. The acquired remote sensing images and their metadata are stored separately, and a relationship is established between the remote sensing images and their metadata. Obtain a search request, and obtain the matching remote sensing image based on the search request; The acquisition of the area range and monitoring time of the newly added key targets includes: Scan the preset path at a second time interval to identify whether there is a newly added GeoJSON format document, which is used to record the area range and monitoring time of the newly added key target; If so, the newly added GeoJSON format document will be imported into the first database, which is a relational database.

2. The key target management method as described in claim 1, characterized in that, The step of acquiring remote sensing images and their metadata provided by the second server based on the area range and monitoring time of the newly added key targets at a first time interval includes: The system uses a scheduled task to identify whether there are any newly added remote sensing images and their metadata that have not been retrieved in the cloud system. The execution cycle of the scheduled task is a first time interval. If so, retrieve the newly added remote sensing image and its metadata.

3. The key target management method as described in claim 1, characterized in that, Before storing the acquired remote sensing images and their metadata, the process further includes: The remote sensing image is switched to a different band, and the switched remote sensing image is truncated and stretched according to a preset ratio. The truncated and stretched remote sensing image is then sliced.

4. The key target management method as described in claim 1, characterized in that, The step of storing the acquired remote sensing images and their metadata separately includes: storing the remote sensing images in a second database, which is a non-relational database, and storing the metadata of the remote sensing images in a third database, which is a relational database.

5. The key target management method as described in claim 4, characterized in that, The area range of the newly added key targets is the latitude and longitude range of the newly added key targets; the metadata of the remote sensing image includes the latitude and longitude range of the remote sensing image and the time of the remote sensing image acquisition.

6. The key target management method as described in claim 5, characterized in that, The search request includes the latitude and longitude range of the target and the time of the target's capture. The step of obtaining a retrieval request and obtaining the matching remote sensing image based on the retrieval request includes: Obtain the latitude and longitude range and target shooting time of the search target. Compare the latitude and longitude range and shooting time of each remote sensing image in the second database with the latitude and longitude range and target shooting time of the search target. If the latitude and longitude range of the remote sensing image coincides with the latitude and longitude range of the search target, and the shooting time of the remote sensing image is the same as the target shooting time, then determine that the remote sensing image matches the search request.

7. A key target management device, applied to a first server, for implementing the key target management method as described in any one of claims 1 to 6, characterized in that, include: The key target acquisition module is used to acquire the regional range and monitoring time of newly added key targets, and send the acquired regional range and monitoring time of newly added key targets to the second server; The remote sensing image acquisition module is used to acquire remote sensing images and their metadata provided by the second server according to the area range and monitoring time of the newly added key target at a first time interval, store the acquired remote sensing images and their metadata respectively, and establish a association between the remote sensing images and their metadata. The remote sensing image matching module is used to obtain a search request and obtain the matching remote sensing image based on the search request.

8. An electronic device, characterized in that, The method includes a processor and a memory coupled to the processor, the memory storing program instructions executable by the processor; when the processor executes the program instructions stored in the memory, it implements the key target management method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores program instructions, which, when executed by a processor, implement the key target management method as described in any one of claims 1 to 6.

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