Information pushing method and related equipment

Abstract

The invention belongs to the field of artificial intelligence and big data, is applied to the field of smart cities, and relates to an information pushing method, which comprises the following steps: when a natural disaster occurs, acquiring disaster data of the natural disaster and an insurance policy of a target user; according to the relevancy between the disaster data of the natural disasters and the insurance policies of the target user, matching the list information of the insurance policies influenced by the natural disasters of the target user through different disaster screening insurance policy rules; and pushing the list information of the insurance policies influenced by the natural disasters to a target user in a message queue manner, so that the target user receives a message prompt, and determining a disaster prevention guidance strategy corresponding to the insurance policies influenced by the natural disasters according to the received list information of the insurance policies influenced by the natural disasters. The invention further provides an information pushing device, computer equipment and a storage medium. According to the method and the device, the problem that a client cannot perform effective disaster prevention and loss reduction actions due to the fact that corresponding processing measures are missed to be notified or cannot be notified to the user in time in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence and big data technology, and in particular to an information push method and related equipment. Background Art

[0002] At present, when instructing users to deal with various natural disasters, insurance companies mostly use unified action documents, without giving differentiated response measures based on specific conditions, and fail to notify users of corresponding measures in a timely manner, thus delaying users from taking effective disaster prevention and loss reduction actions, causing inevitable losses to users and insurance companies. Therefore, there is an urgent need for an information push method to solve the problem that the existing methods fail to notify users of corresponding treatment measures or fail to notify users in a timely manner, thus affecting the corresponding disaster prevention and loss reduction work, causing greater losses to companies and users. Summary of the invention

[0003] The purpose of the embodiments of the present application is to propose an information push method and related equipment to solve the problem that the existing methods fail to notify the corresponding processing measures or fail to notify the user in time, thereby affecting the corresponding disaster prevention and loss reduction work and causing greater losses to the company and users. Its main purpose is to provide customers with targeted response and processing strategies based on the particularities of insurance types and disaster types, which can effectively help users deal with corresponding risks and reduce losses.

[0004] In order to solve the above technical problems, the present application embodiment provides an information push method, which adopts the following technical solution:

[0005] When a natural disaster occurs, obtain the disaster data of the natural disaster and the insurance policy of the target user;

[0006] According to the correlation between the disaster data of the natural disaster and the insurance policy of the target user, a list of insurance policies of the target user affected by natural disasters is matched through different disaster screening insurance policy rules. The different disaster screening insurance policy rules are screening rules set according to different types of natural disasters, and are used to screen the insurance policies of the user. The screened insurance policies that meet the requirements of being affected by natural disasters will be included in the list of insurance policies affected by natural disasters;

[0007] The insurance policy list information affected by natural disasters is pushed to the target user via a message queue so that the target user receives a message reminder and determines the disaster prevention guidance strategy corresponding to the insurance policy affected by natural disasters based on the received insurance policy list information affected by natural disasters.

[0008] Furthermore, the information of the target user's insurance policy list affected by the natural disaster is matched by different disaster screening policy rules according to the correlation between the natural disaster affected data and the target user's insurance policy, including:

[0009] Calculating semantic relevance between the disaster-affected data of the natural disaster and the insurance policy of the target user through a natural language model to obtain a relevance value between the disaster-affected data of the natural disaster and the insurance policy of the target user;

[0010] According to the relevance value, the insurance policy list information of the target user affected by natural disasters is matched through different disaster screening policy rules, and the different relevance values ​​correspond to different matching rules.

[0011] Furthermore, before matching the target user's insurance policy list information affected by natural disasters through different disaster screening insurance policy rules according to the correlation between the natural disaster affected data and the target user's insurance policy, the method further includes:

[0012] Acquire different disaster types, wherein the different disaster types include natural disaster types;

[0013] Based on the different disaster types, different disaster screening policy rules are determined.

[0014] Furthermore, before pushing the list of insurance policies affected by natural disasters to the target user by means of a message queue so that the target user receives a message reminder and determines the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters according to the received list of insurance policies affected by natural disasters, the method further includes:

[0015] Obtain disaster type, issuing agency, industry type, and insurance type;

[0016] Based on the disaster type, the issuing institution, the industry type and the insurance type, different disaster prevention guidance strategies are determined.

[0017] Furthermore, after determining different disaster prevention guidance strategies based on the disaster type, the issuing institution, the industry type, and the insurance type, the method further includes:

[0018] If the different disaster prevention guidance strategies are adjusted, they are modified on the basis of the different disaster prevention guidance strategies. After the modification is approved, new different disaster prevention guidance strategies are obtained.

[0019] Furthermore, after receiving the message reminder, the target user determines the disaster prevention guidance strategy corresponding to the insurance policies affected by the natural disasters according to the received list of insurance policies affected by the natural disasters, including:

[0020] After receiving the message reminder from the APP, the target user checks the list of insurance policies affected by the natural disaster;

[0021] Based on the list of insurance policies affected by natural disasters, the information of the insurance policies affected by disasters is queried on the APP side to determine the disaster prevention guidance strategies corresponding to the insurance policies affected by natural disasters.

[0022] Furthermore, based on the checked list of insurance policies affected by natural disasters, the information of the insurance policies affected by natural disasters is queried on the APP to obtain the disaster prevention guidance strategies corresponding to the insurance policies affected by natural disasters, including:

[0023] Based on the checked list of insurance policies affected by natural disasters, a first full match query is performed on the APP for the information of insurance policies affected by natural disasters;

[0024] If the first full match query finds the insurance policy information affected by the natural disaster, then determine the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster;

[0025] If the first full match query fails to find the policy information affected by the natural disaster, a second full match query is performed on the APP side for the policy information affected by the natural disaster;

[0026] If the second full match query finds information about insurance policies affected by natural disasters, then determine the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters;

[0027] If the second full match query does not find any policy information affected by natural disasters, a third full match query is performed on the APP end for the policy information affected by natural disasters;

[0028] If the third full match query finds information about insurance policies affected by natural disasters, determine the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters;

[0029] If the third full match query does not find the policy information affected by the natural disaster, a fourth full match query is performed on the APP end for the policy information affected by the natural disaster;

[0030] If the fourth full match query finds the insurance policy information affected by the disaster, the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster is determined;

[0031] If the fourth full match query does not find any information about the insurance policies affected by the natural disasters, the universal disaster prevention guidance strategy is directly queried according to the disaster type to determine the disaster prevention guidance strategy corresponding to the insurance policies affected by the natural disasters.

[0032] In order to solve the above technical problems, the present application also provides an information push device, which adopts the following technical solution:

[0033] A first acquisition module is used to acquire disaster data of the natural disaster and the insurance policy of the target user when a natural disaster occurs;

[0034] A matching module is used to match the target user's insurance policy list information affected by natural disasters according to the correlation between the natural disaster affected data and the target user's insurance policy through different disaster screening policy rules. The different disaster screening policy rules are screening rules set according to different types of natural disasters, and are used to screen the user's insurance policies. The screened insurance policies that meet the requirements of being affected by natural disasters will be included in the list of insurance policies affected by natural disasters;

[0035] The push module is used to push the list information of insurance policies affected by natural disasters to the target user through a message queue, so that the target user receives a message reminder and determines the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters based on the received list information of insurance policies affected by natural disasters.

[0036] In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical solution:

[0037] The computer device includes a memory and a processor, the memory stores computer-readable instructions, and the processor implements the steps of the information push method described in any one of the embodiments of the present application when executing the computer-readable instructions.

[0038] In order to solve the above technical problems, the embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solution:

[0039] The computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps of the information pushing method described in any one of the embodiments of the present invention are implemented.

[0040] Compared with the prior art, the embodiments of the present application mainly have the following beneficial effects: when a natural disaster occurs, the disaster-affected data of the natural disaster and the insurance policy of the target user are obtained, and according to the correlation between the disaster-affected data of the natural disaster and the insurance policy of the target user, the list information of the insurance policies affected by the natural disaster of the target user is matched through different disaster screening policy rules, and the list information of the insurance policies affected by the natural disaster is pushed to the target user through a message queue, so that after the target user receives the message reminder, the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster can be determined according to the received list information of the insurance policies affected by the natural disaster, thereby solving the problem that the existing method misses notifying the corresponding treatment measures or fails to notify the user in time, thereby affecting the corresponding disaster prevention and loss reduction work, and causing greater losses to the company and users. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 is an exemplary system architecture diagram to which the present application may be applied;

[0043] Figure 2 A flowchart according to an embodiment of the information push method of the present application;

[0044] Figure 3 yes Figure 2 A flowchart of a specific implementation of step S202;

[0045] Figure 4 yes Figure 2 A flowchart of a specific implementation method before step S202;

[0046] Figure 5 yes Figure 2 A flowchart of a specific implementation method before step S203;

[0047] Figure 6 yes Figure 2 A flowchart of a specific implementation method of step S203;

[0048] Figure 7 yes Figure 6 A flowchart of a specific implementation method of step S2032;

[0049] Figure 8 It is an architectural diagram of the information push method of this application;

[0050] Fig. 9 is a structural schematic diagram of an embodiment of an information push device according to the present application;

[0051] Fig.10 yes Fig. 9 A structural diagram of a specific implementation of the matching module 902;

[0052] Fig.11 yes Fig. 9 A structural diagram of another specific implementation of the information push device 900;

[0053] Fig.12 yes Fig. 9 A structural diagram of another specific implementation of the information push device 900;

[0054] Fig.13 yes Fig. 9 A structural diagram of a specific implementation of the push module 903;

[0055] Fig.14 yes Fig.13 A structural diagram of a specific implementation of the query submodule 9032;

[0056] Fig.15 It is a structural diagram of an embodiment of a computer device according to the present application. DETAILED DESCRIPTION

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0058] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with 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.

[0059] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0060] like Figure 1 As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links 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 optical fiber cables, etc.

[0061] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0062] The terminal devices 101, 102, and 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III), MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop computers, desktop computers, etc.

[0063] The server 105 may be a server that provides various services, such as a background server that provides support for web pages displayed on the terminal devices 101 , 102 , and 103 .

[0064] It should be noted that the information push method provided in the embodiment of the present application is generally executed by a server / terminal device, and accordingly, the information push device is generally arranged in the server / terminal device.

[0065] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0066] Continue to refer Figure 2 , shows a flow chart of an embodiment of the information push method according to the present application. The information push method comprises the following steps:

[0067] Step S201: When a natural disaster occurs, obtain disaster data of the natural disaster and the insurance policy of the target user.

[0068] In this embodiment, the electronic device (eg Figure 1 The server / terminal device shown in the figure can receive the information push request of the terminal device through a wired connection or a wireless connection. It should be noted that the above wireless connection method may include but is not limited to 3G / 4G / 5G connection, Wi-Fi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (Ultra Wi-Fi Band) connection, and other wireless connection methods currently known or to be developed in the future.

[0069] The above-mentioned terminal devices may be terminal devices equipped with remote interaction functions such as personal assistants and intelligent customer service.

[0070] The above information push method can be applied to online file information push, online file management and other services.

[0071] Specifically, the above-mentioned electronic equipment can be used in different industry types such as medical disaster prevention guidelines, property insurance disaster prevention guidelines, financial disaster prevention guidelines, and store disaster prevention guidelines.

[0072] The above-mentioned natural disasters include earthquakes, rainstorms, typhoons, waterlogging, floods, etc. The disaster data of the above-mentioned natural disasters include the affected areas, the extent of losses, etc.

[0073] The insurance policy of the target user includes the information of the issuing institution, the industry type, and the insurance type. The issuing institution information can be understood as the information of the company or institution that provides insurance services to the user, including the name, address, contact information, etc. of the insurance company. The industry type information can be understood as the industry or industry classification that the target user is engaged in, such as manufacturing, finance, transportation, etc. The insurance type information can be understood as the type of insurance products provided to the target user, such as life insurance, property insurance, health insurance, auto insurance, etc.

[0074] Step S202: According to the correlation between the natural disaster affected data and the target user's insurance policy, a list of insurance policies of the target user affected by the natural disaster is matched through different disaster screening insurance policy rules.

[0075] In this embodiment, the semantic relevance of the natural disaster affected data and the target user's insurance policy can be calculated through a natural language model to obtain the relevance value between the natural disaster affected data and the target user's insurance policy, and according to the relevance value, the target user's insurance policy list information affected by natural disasters can be matched through different disaster screening insurance policy rules. Different relevance values ​​correspond to different matching rules.

[0076] The above-mentioned natural language model is a system that uses machine learning and artificial intelligence technology to process and understand human language. The natural language model automatically recognizes and understands various patterns and structures in the language by learning a large amount of text data, thereby realizing functions such as language understanding, generation and reasoning.

[0077] The above semantic relevance calculation can be understood as a process of calculating the degree of semantic association between two text segments.

[0078] The above different disaster screening policy rules are screening rules set according to different types of natural disasters, which are used to screen the user's policies, and the policies that are affected by natural disasters will be included in the list of policies affected by natural disasters. The above different disaster types include natural disaster types, and the above natural disasters can be understood as disasters caused by natural processes or phenomena, such as earthquakes, floods, typhoons, waterlogging, floods, fires, etc.

[0079] The above-mentioned list of insurance policies affected by natural disasters can be understood as a list of insurance policies that need to be compensated due to natural disasters.

[0080] In a possible embodiment, if a natural disaster occurs, based on the correlation between the natural disaster affected data and the target user's insurance policy, the insurance company will screen the target user's insurance policy according to different disaster screening policy rules to determine a list of insurance policies affected by the natural disaster. For example, when a natural disaster occurs, if the target user has an insurance policy that covers earthquakes, this policy will be screened out; if the target user has another insurance policy that covers flooding, this policy will be screened out, etc.

[0081] It should be noted that by matching the correlation between natural disaster disaster data and the target users' policies through different disaster screening policy rules, it is possible to accurately screen out the target users' policies affected by natural disasters, thereby better providing insurance services to users. It also helps insurance companies to better manage risks and avoid excessive losses caused by natural disasters that affect the company's operating conditions.

[0082] Step 203: Push the list of insurance policies affected by natural disasters to the target user via a message queue so that the target user receives a message reminder and determines the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters based on the received list of insurance policies affected by natural disasters.

[0083] The above message queue is a communication mechanism between applications (APP). Message queues allow asynchronous communication between programs or services. When an application sends a message to a message queue, the recipient can retrieve and process the message at a later point in time. Message queues provide a reliable and scalable communication method that enables the system to continue to operate under high load and failure conditions.

[0084] The above message queue can be used to realize data transmission and synchronization between different nodes.

[0085] It should be noted that for natural disasters, the number of insurance policies affected by the disasters may be large. In order to increase the throughput and the speed at which disaster warnings reach users, this application chooses to use message queues to complete the push of relevant insurance policies. The insurance policies will be pushed to the salesperson APP and the customer APP. The pushed policy information includes the issuing agency, disaster type, insurance type, industry type (first, second, third, and fourth level industry types), etc. After receiving the message, the APP will remind specific salespeople and users in the form of an in-APP message push. After receiving the reminder, the relevant personnel will take necessary disaster prevention measures.

[0086] The information of insurance policies affected by disasters is pushed to the APP through the message queue. After receiving the message, the APP pushes the warning message to the target user through the message push mechanism of the APP, so as to achieve quasi-real-time delivery of disaster warnings and reduce the problem of manual delay in warnings.

[0087] In this embodiment, after receiving the message reminder from the APP, the target user can click on the pushed message to view the list of insurance policies affected by the disaster under the name of the target user. After clicking on a specific policy, the APP will pass the policy's issuing institution, disaster type, insurance type, and industry type to query the corresponding disaster prevention guidance strategy. The corresponding disaster prevention guidance strategy guides the user to take timely disaster prevention measures.

[0088] The above-mentioned disaster prevention guidance strategies can be understood as a series of measures and guidance plans taken to reduce losses and protect property safety when a disaster occurs.

[0089] The above-mentioned disaster prevention guidance strategy refers to a disaster prevention guidance strategy that is individually configured according to different types of natural disasters, combined with the insurance type, industry type, etc. of the insurance policy. The disaster prevention guidance strategy can guide customers to take effective disaster prevention and loss reduction actions.

[0090] In this embodiment, the application pushes the information of insurance policies affected by disasters to the APP end through a message queue. After receiving the message, the APP end pushes the warning message to the user through the message push mechanism to achieve quasi-real-time access to disaster warnings, reducing the problem of manual delays in warnings. At the same time, the APP end can query the corresponding disaster prevention guidance strategy through the unique information of the insurance policy to guide users to take timely disaster prevention measures. This application customizes the disaster prevention guidance strategy according to different types of natural disasters, combined with the insurance type, industry type, etc. of the insurance policy, and can guide users to take effective disaster prevention and loss reduction actions when a disaster occurs. When a natural disaster strikes, this application can provide different users with timely and different response measures, thereby providing accurate and effective guidance for disaster prevention actions.

[0091] When a natural disaster occurs, the present application obtains the disaster-affected data of the natural disaster and the insurance policy of the target user, and according to the correlation between the disaster-affected data of the natural disaster and the insurance policy of the target user, matches the list information of the insurance policies affected by the natural disaster for the target user through different disaster screening policy rules, and pushes the list information of the insurance policies affected by the natural disaster to the target user through a message queue. After the target user receives the message reminder, the disaster prevention guidance strategy corresponding to the insurance policies affected by the natural disaster can be determined according to the received list information of the insurance policies affected by the natural disaster, which solves the problem that the existing method misses notifying the corresponding treatment measures or fails to notify the user in time, thereby affecting the corresponding disaster prevention and loss reduction work, and causing greater losses to the company and users.

[0092] Continue to refer Figure 3 , showing Figure 2 Flow chart of a specific implementation of step S202 in FIG. Step S202 specifically includes the following steps:

[0093] Step S2021: Calculate the semantic relevance of the disaster-affected data of natural disasters and the insurance policy of the target user through a natural language model to obtain a correlation value between the disaster-affected data of natural disasters and the insurance policy of the target user.

[0094] In this embodiment, the natural language model is a system that uses machine learning and artificial intelligence technology to process and understand human language. The natural language model automatically recognizes and understands various patterns and structures in the language by learning a large amount of text data, thereby realizing functions such as understanding, generating and reasoning the language.

[0095] Semantic relevance is an indicator that measures the similarity between two texts at the semantic level and is used to evaluate the relevance between texts.

[0096] The above semantic relevance calculation can be understood as a process of calculating the degree of semantic association between two text segments.

[0097] The relevance value between the disaster data of a natural disaster and the insurance policy of the target user may be determined based on the semantic relevance between the disaster data and the insured content in the insurance policy.

[0098] It should be noted that the correlation value between the natural disaster damage data and the target user's insurance policy can be used to evaluate the impact of natural disasters on the target user's insurance policy, and can also be used to compare the impact of different natural disasters on different target users' insurance.

[0099] Step S2022: Based on the correlation value, a list of insurance policies of the target user affected by natural disasters is matched through different disaster screening policy rules.

[0100] In this embodiment, the above different correlation values ​​correspond to different matching rules.

[0101] The above-mentioned different disaster screening policy rules are screening rules set according to different types of natural disasters, and are used to screen users' policies. The policies that are screened out and are eligible for being affected by natural disasters will be included in the list of policies affected by natural disasters.

[0102] This application uses a natural language model to calculate the semantic relevance of natural disaster-affected data and target users' insurance policies, obtains the correlation value between the natural disaster-affected data and the target users' insurance policies, and based on the correlation value, matches the target users' insurance policy list information affected by natural disasters through different disaster screening policy rules, thereby improving the efficiency of screening insurance policies affected by natural disasters.

[0103] Continue to refer Figure 4 , shown in Figure 2 Before step S202, the information push method further includes the following steps:

[0104] Step S401: Obtain different disaster types.

[0105] In this embodiment, the above-mentioned different disaster types include natural disaster types.

[0106] The above-mentioned natural disasters can be understood as disasters caused by natural processes or phenomena, such as earthquakes, floods, typhoons, waterlogging, floods, fires, etc.

[0107] Step S402: Determine different disaster screening policy rules based on different disaster types.

[0108] In this embodiment, the electronic device can determine different disaster screening policy rules when obtaining different disaster types.

[0109] The above-mentioned different disaster screening policy rules are corresponding policy rules formulated according to different disaster types, and are used to screen and process the insurance policies of target users.

[0110] It should be noted that by formulating different disaster screening policy rules, insurance companies can provide better protection for users and reduce losses caused by disasters.

[0111] This application obtains different disaster types and determines different disaster screening policy rules according to different disaster types, thereby providing targeted insurance services for different disaster types.

[0112] Continue to refer Figure 5 , showing that in Figure 2 Before step S203, the information push method further includes the following steps:

[0113] Step S501, obtain the disaster type, issuing institution, industry type and insurance type.

[0114] In this embodiment, the above-mentioned disaster type can be understood as a natural disaster, which can be a rainstorm, a typhoon, waterlogging, a flood, and the like.

[0115] The above-mentioned issuing institutions can be understood as companies or institutions providing insurance services, such as headquarter institutions, secondary institutions, etc.

[0116] The above industry types can be understood as the industry or industry classification to which the insured property or object involved in the insurance contract belongs, such as primary industry type, secondary industry type, tertiary industry type, quaternary industry type, etc. Taking the primary industry type as manufacturing as an example, the secondary industry type can be agricultural and sideline food processing, the tertiary industry type can be vegetable oil processing, and the quaternary industry type can be edible vegetable oil processing.

[0117] The above-mentioned insurance types can be understood as types of insurance products, such as life insurance, property insurance, health insurance, car insurance, etc.

[0118] Step S502: Determine different disaster prevention guidance strategies based on disaster type, issuing organization, industry type, and insurance type.

[0119] In this embodiment, after obtaining the disaster type, issuing agency, industry type and insurance type, the electronic device can determine different disaster prevention guidance strategies by personalizing the disaster type, issuing agency, industry type and insurance type.

[0120] The above-mentioned disaster prevention guidance strategies can be understood as a series of measures and guidance plans taken to reduce losses and protect property safety when a disaster occurs.

[0121] It should be noted that different disaster prevention guidance strategies are diverse and flexible. During the configuration process, relevant personnel from the headquarters will personalize all disaster prevention guidance strategies at one time based on the disaster type, issuing agency, industry type, and insurance type.

[0122] This application obtains the disaster type, issuing agency, industry type and insurance type, and determines the disaster prevention guidance strategies for different disasters based on the disaster type, issuing agency, industry type and insurance type. The disaster prevention guidance strategies for different disasters can ensure that the insurance rights and interests of customers are fully protected.

[0123] Optionally, after step S402, if the disaster prevention guidance strategies for different disasters are adjusted, the disaster prevention guidance strategies for different disasters are modified on the basis of the disaster prevention guidance strategies for different disasters, and after the modification is approved, new disaster prevention guidance strategies for different disasters are obtained.

[0124] In this embodiment, the above-mentioned different disaster prevention guidance strategies are configured by the relevant personnel of the headquarters organization according to the disaster type, the issuing organization, the industry type and the insurance type.

[0125] Furthermore, if the issuing institution of the insurance policy makes adjustments to the different disaster prevention guidance strategies configured by the headquarter institution based on relevant conditions, it can make modifications based on the different disaster prevention guidance strategies. After the modification is approved, a new different disaster prevention guidance strategy can be obtained and take effect immediately.

[0126] It should be noted that the relevant disaster prevention guidance strategies that the issuing institution of the insurance policy inquires under relevant conditions will also become the new disaster prevention guidance strategies for different disasters. The relevant disaster prevention guidance documents of other institutions shall still be based on the disaster prevention guidance strategies for different disasters personalized by the headquarters.

[0127] If there are adjustments to the disaster prevention guidance strategies for different disasters in this application, they will be modified on the basis of the disaster prevention guidance strategies for different disasters. After the modifications are approved, new disaster prevention guidance strategies for different disasters will be obtained. The flexibility and adaptability of the disaster prevention guidance strategies can be improved, so that they can better meet the needs of different institutions and avoid duplication of work and waste of resources due to independent configuration of documents for each institution.

[0128] Continue to refer Figure 6 , showing Figure 2 Flow chart of a specific implementation manner of step S203 in FIG. Step S203 specifically includes the following steps:

[0129] Step S2031: After receiving the message reminder from the APP, the target user checks the list of insurance policies affected by the natural disaster.

[0130] In this embodiment, the above-mentioned list of insurance policies affected by natural disasters includes information on insurance policies that have been lost or require claims due to natural disasters (such as earthquakes, typhoons, floods, etc.).

[0131] Step S2032: Based on the viewed list of insurance policies affected by natural disasters, query the information of the insurance policies affected by disasters on the APP side to determine the disaster prevention guidance strategies corresponding to the insurance policies affected by natural disasters.

[0132] In this embodiment, the APP pushes the list of insurance policies affected by natural disasters to the target user in the form of a message queue. After receiving the message reminder from the APP, the target user clicks on the pushed message to view the list of insurance policies affected by the disaster under the name of the target user. After clicking on a specific policy, the APP transmits the policy's issuing institution, disaster type, insurance type, and industry type to query the corresponding disaster prevention guidance strategy.

[0133] The above disaster prevention guidance strategy is used to guide users to take timely disaster prevention measures. The disaster prevention guidance strategy can be understood as a series of measures and guidance programs taken to reduce losses and protect property safety when a disaster occurs.

[0134] After receiving the message reminder on the APP, the target users of this application can view the list of insurance policies affected by natural disasters, and based on the viewed list of insurance policies affected by natural disasters, query the information of the policies affected by disasters on the APP to obtain the disaster prevention guidance strategies corresponding to the policies affected by natural disasters, which will help to improve user awareness and participation, and better protect the user's rights and property safety.

[0135] Continue to refer Figure 7 , showing Figure 6 Flow chart of a specific implementation manner of step S2032 in FIG. Step S2032 specifically includes the following steps:

[0136] Step S20321: Based on the viewed list of insurance policies affected by natural disasters, a first full match query is performed on the APP side for the information of insurance policies affected by natural disasters.

[0137] In this embodiment, the above-mentioned first full match query can be understood as a query method that integrates a single institution, disaster type, insurance type, and industry type (first, second, third, and fourth level industry types).

[0138] Furthermore, the user clicks on the specific insurance policies affected by natural disasters based on the list of insurance policies affected by natural disasters and enters the issuing agency, disaster type, insurance type, and industry type (first, second, third, and fourth level industry types) of the specific insurance policies affected by natural disasters on the APP to conduct the first query. The APP will then perform matching and searching to find the corresponding disaster prevention guidance strategies.

[0139] Step S20322: If the first full match query finds information on insurance policies affected by natural disasters, then determine the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters.

[0140] In this embodiment, if the first full match query finds information on insurance policies affected by natural disasters, then the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters is determined.

[0141] Step S20323: If the first full match query fails to find the policy information affected by the natural disaster, a second full match query is performed on the APP side for the policy information affected by the natural disaster.

[0142] In this embodiment, the second full match query can be understood as a query method that matches the primary industry and secondary industry according to the issuing organization, disaster type, insurance type, and industry type.

[0143] Furthermore, if the first full match query fails to find any policy information affected by natural disasters, a second query will be conducted on the APP side based on the query method of matching the issuing agency, disaster type, insurance type, and first-level and second-level industries of the industry type.

[0144] Step S20324: If the second full match query finds information on insurance policies affected by natural disasters, then determine the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters.

[0145] In this embodiment, if the second full match query finds information on insurance policies affected by natural disasters, then the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters is determined.

[0146] Step S20325: If the second full match query fails to find the policy information affected by natural disasters, a third full match query is performed on the APP side for the policy information affected by natural disasters.

[0147] In this embodiment, the third full match query can be understood as changing the issuing institution to the headquarters institution, and then combining the headquarters institution, disaster type, insurance type, and industry type (first, second, third, and fourth level industry types) in the query method.

[0148] Furthermore, if the second full match query finds insurance policy information affected by natural disasters, a third query will be conducted on the APP side based on the query method of the headquarters organization, disaster type, insurance type, and industry type (first, second, third, and fourth level industry types).

[0149] Step S20326: If the third full match query finds information on insurance policies affected by natural disasters, determine the disaster prevention guidance strategies corresponding to the insurance policies affected by natural disasters.

[0150] In this embodiment, if the third full match query finds information on insurance policies affected by natural disasters, then the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters is determined.

[0151] Step S20327: If the third full match query does not find any policy information affected by natural disasters, a fourth full match query is performed on the APP side for the policy information affected by natural disasters.

[0152] In this embodiment, the above-mentioned fourth full match query can be understood as changing the issuing agency to the headquarters agency, using the first-level industry and the second-level industry for the industry type, and then integrating the query method of the headquarters agency, disaster type, insurance type, and the first-level industry and the second-level industry of the industry type.

[0153] Furthermore, if the third full match query fails to find any policy information affected by natural disasters, a fourth query will be conducted on the APP side based on the query methods of the headquarters organization, disaster type, insurance type, first-level industry and second-level industry of the industry type.

[0154] Step S20328: If the fourth full match query finds the information of insurance policies affected by the disaster, the disaster prevention guidance strategy corresponding to the insurance policies affected by the natural disaster is determined.

[0155] In this embodiment, if the fourth full match query finds the insurance policy information affected by the disaster, the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster is determined.

[0156] Step S20329: If the fourth full match query does not find any information on insurance policies affected by natural disasters, then directly query the universal disaster prevention guidance strategy based on the disaster type to determine the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters.

[0157] In this embodiment, if the fourth full match query does not find any information on insurance policies affected by natural disasters, the universal disaster prevention guidance strategy is directly queried according to the disaster type to determine the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters.

[0158] The above-mentioned generalized disaster prevention guidance strategy refers to a disaster prevention guidance strategy configured only by disaster type.

[0159] It should be noted that when the corresponding disaster prevention guidance strategy cannot be found based on the insurance policy information, the general disaster prevention guidance strategy will be used instead.

[0160] This application searches for a list of insurance policies affected by natural disasters, and performs a first full match query on the APP side for the information of insurance policies affected by natural disasters. If the first full match query finds the information of insurance policies affected by natural disasters, the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters is determined. If the first full match query does not find the information of insurance policies affected by natural disasters, a second full match query is performed on the APP side for the information of insurance policies affected by natural disasters. If the second full match query finds the information of insurance policies affected by natural disasters, the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters is determined. If the second full match query does not find the information of insurance policies affected by natural disasters, a third full match query is performed on the APP side for the information of insurance policies affected by natural disasters. If If the third full match query finds the policy information affected by natural disasters, the disaster prevention guidance strategy corresponding to the policy affected by natural disasters will be determined. If the third full match query does not find the policy information affected by natural disasters, the fourth full match query will be performed on the policy information affected by natural disasters on the APP side. If the fourth full match query finds the policy information affected by the disaster, the disaster prevention guidance strategy corresponding to the policy affected by natural disasters will be determined. If the fourth full match query does not find the policy information affected by natural disasters, the general disaster prevention guidance strategy will be directly queried according to the disaster type to determine the disaster prevention guidance strategy corresponding to the policy affected by natural disasters. The disaster prevention guidance strategy can provide better services and support to customers, and also improve customer satisfaction and loyalty.

[0161] Continue to refer Figure 8, shows an architecture diagram of the information push method according to the present application. Specifically, the information push method includes disaster prevention guidance copy configuration, disaster warning calculation, push, and disaster prevention guidance copy query.

[0162] In this embodiment, the above-mentioned disaster prevention guidance copy configuration includes personalized copy configuration and universal copy configuration. The above-mentioned personalized copy refers to the disaster prevention guidance copy configured according to the disaster type, the issuing institution of the insurance policy, the insurance type of the insurance policy, and the target industry type. The above-mentioned universal copy refers to the disaster prevention guidance copy configured only by the disaster type. When the corresponding personalized copy cannot be found according to the information of the insurance policy, the universal copy is used instead.

[0163] In this embodiment, when configuring the personalized copy, the disaster type must first be defined, such as heavy rain, typhoon, waterlogging, flood, etc.; the issuing institution of the policy, such as the headquarters institution, the second-level institution, etc.; the industry type of the subject matter, such as the first-level industry type, the second-level industry type, the third-level industry type, the fourth-level industry type, etc. Taking the first-level industry type as manufacturing as an example, the second-level industry type can be agricultural and sideline food processing, the third-level industry type can be vegetable oil processing, and the fourth-level industry type can be edible vegetable oil processing. According to the actual situation of property insurance, the personalized copy industry type must be filled in at least the second-level industry type, and the third-level industry type and the fourth-level industry type can be filled in as appropriate. Personalized copywriting is diverse and flexible. During the initial configuration, all copywriting will be configured at one time by relevant personnel at the headquarters. If the issuing institution of the insurance policy makes adjustments to the personalized copywriting configured by the headquarters based on relevant conditions, it can be modified based on the copywriting configured by the headquarters. After the modification and approval, the copywriting will take effect immediately, and the disaster prevention guidance copywriting for the relevant conditions of the issuing institution will become this copywriting. The relevant disaster prevention guidance copywriting of other institutions shall still be based on the initial configuration of the headquarters.

[0164] The above-mentioned disaster warning calculation and push can be understood as screening out the relevant affected policies through different disaster screening policy rules when a natural disaster occurs.

[0165] The above-mentioned different disaster screening policy rules are screening rules set according to different types of natural disasters, and are used to screen users' policies. The policies that are screened out and are eligible for being affected by natural disasters will be included in the list of policies affected by natural disasters.

[0166] The push of relevant insurance policies can be completed through the message queue. The insurance policies will be pushed to the salesperson APP and the customer APP. The pushed policy information includes the issuing agency, disaster type, insurance type, industry type (first, second, third, and fourth level industry types), etc. After the APP receives the message, it will remind the specific salesperson and user in the form of an in-APP message push. After receiving the reminder, the relevant personnel will take necessary disaster prevention measures.

[0167] The above-mentioned disaster prevention guidance copy query can be understood as that after the user receives the message reminder from the APP, he can click to enter and view the list of insurance policies affected by the disaster under his name. After clicking on the specific insurance policy, the APP will transmit the policy's issuing institution, disaster type, insurance type, and industry type (first, second, third, and fourth level industry types) to query the specific disaster prevention guidance strategy.

[0168] The matching priority of querying the specific disaster prevention guidance strategy of the insurance policy is queried in order from high to low. Specifically, it includes: ① The first query condition, the first query condition is a query condition that collects the issuing institution, disaster type, insurance type, and industry type (first, second, third, and fourth level industry types) of the insurance policy. According to the first query condition, query the specific disaster prevention guidance of the insurance policy. If it is found, it will be directly returned and displayed. If not found, proceed to the next step; ② The second query condition, the second query condition is based on the query conditions of the issuing institution, disaster type, insurance type, and the first-level industry and second-level industry of the industry type. According to the second query condition, query the specific disaster prevention guidance of the insurance policy. If it is found, it will be directly returned and displayed. If not found, proceed to the next step; ③ The third query condition, the third query condition is to change the issuing institution to the headquarters institution. Then, query the conditions of the headquarters organization, disaster type, insurance type, and industry type (first, second, third, and fourth level industry types). According to the third query condition, query the specific disaster prevention guidelines of the policy. If found, return directly to display. If not found, proceed to the next step; ④ The fourth query condition, the fourth query condition is to change the issuing organization to the headquarters organization, and use the first-level industry and second-level industry for the industry type. Then, set the query conditions of the headquarters organization, disaster type, insurance type, first-level industry and second-level industry of the industry type, and query the specific disaster prevention guidelines of the policy according to the fourth query condition. If found, return directly to display. If not found, proceed to the next step; ⑤ Directly query the universal copy according to the disaster type and return to display.

[0169] In this embodiment, the application personalizes specific disaster prevention guidance texts according to different types of natural disasters, combined with the insurance type, industry type, etc. of the insurance policy, and can guide customers to take effective disaster prevention and loss reduction actions when a disaster occurs. The application pushes the information of insurance policies affected by disasters to the APP end through a message queue. After receiving the message, each APP end pushes the warning message to the user through the message push mechanism, realizing quasi-real-time access to disaster warnings and reducing the problem of manual delays in warnings. At the same time, each APP end can query the corresponding disaster prevention guidance text through the unique information of the insurance policy, guide users to take disaster prevention measures in a timely manner, and effectively help users deal with corresponding risks and reduce losses. When a natural disaster strikes, the application can provide different users with timely and different response measures, thereby providing accurate and effective guidance for disaster prevention actions.

[0170] This embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the 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.

[0171] The basic technologies of artificial intelligence generally include sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics and other technologies. 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. This application can be applied to the fields of artificial intelligence and big data, thereby promoting the construction of smart cities.

[0172] This application belongs to the field of smart cities, and this solution can promote the construction of smart cities.

[0173] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the 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 can include the processes of the embodiments of the above-mentioned methods. Among them, the aforementioned storage medium can be a non-volatile storage medium such as a disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0174] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed 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 can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0175] Further references Fig. 9 , as a response to the above Figure 2 The present application provides an embodiment of an information push device, and the information push device embodiment is Figure 2Corresponding to the information push method embodiment shown, the information push device can be specifically applied to various electronic devices.

[0176] like Fig. 9 As shown, the information push device 900 described in this embodiment includes: a screening and processing module 901, a matching module 902 and a push module 903. Among them:

[0177] The first acquisition module 901 is used to acquire the disaster data of the natural disaster and the insurance policy of the target user when a natural disaster occurs;

[0178] A matching module 902 is used to match the target user's insurance policy list information affected by natural disasters according to the correlation between the natural disaster affected data and the target user's insurance policy through different disaster screening policy rules. The different disaster screening policy rules are screening rules set according to different types of natural disasters, and are used to screen the user's insurance policies. The screened insurance policies that meet the requirements of being affected by natural disasters will be included in the list of insurance policies affected by natural disasters.

[0179] The push module 903 is used to push the list information of insurance policies affected by natural disasters to the target user through a message queue, so that the target user receives a message reminder and determines the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters based on the received list information of insurance policies affected by natural disasters.

[0180] In this embodiment, when a natural disaster occurs, the present application obtains disaster data of the natural disaster and the insurance policy of the target user, and matches the list information of the target user's insurance policies affected by the natural disasters through different disaster screening policy rules according to the correlation between the disaster data of the natural disasters and the insurance policy of the target user, and pushes the list information of the insurance policies affected by the natural disasters to the target user through a message queue, so that after the target user receives the message reminder, he can determine the disaster prevention guidance strategy corresponding to the insurance policies affected by the natural disasters according to the received list information of the insurance policies affected by the natural disasters, thereby solving the problem that the existing method misses notifying the user of the corresponding treatment measures or fails to notify the user in time, thereby affecting the corresponding disaster prevention and loss reduction work, and causing greater losses to the company and users.

[0181] See also Fig.10 ,for Fig. 9 The matching module 902 is a schematic diagram of a specific implementation scheme, wherein the matching module 902 includes a correlation calculation submodule 9021 and a matching submodule 9022.

[0182] The relevance calculation submodule 9021 is used to calculate the semantic relevance between the natural disaster affected data and the insurance policy of the target user through a natural language model to obtain a relevance value between the natural disaster affected data and the insurance policy of the target user;

[0183] The matching submodule 9022 is used to match the target user's insurance policy list information affected by natural disasters based on the correlation value and through different disaster screening policy rules, wherein different correlation values ​​correspond to different matching rules.

[0184] In this embodiment, the semantic relevance of the natural disaster affected data and the target user's insurance policy is calculated through a natural language model to obtain the correlation value between the natural disaster affected data and the target user's insurance policy. Based on the correlation value, different disaster policy screening rules are used to match the target user's insurance policy list information affected by natural disasters, thereby improving the efficiency of screening policies affected by natural disasters.

[0185] See also Fig.11 ,for Fig. 9 The information push device 900 is a schematic diagram of a specific implementation scheme, wherein the information push device 900 further includes a second acquisition module 904 and a first determination module 905.

[0186] A second acquisition module 904 is used to acquire different disaster types, where the different disaster types include natural disaster types;

[0187] The first determination module 905 is used to determine different disaster screening policy rules based on the different disaster types.

[0188] In this embodiment, different disaster types are obtained, and different disaster screening policy rules are determined according to the different disaster types, so as to provide targeted insurance services for different disaster types.

[0189] See also Fig.12 ,for Fig. 9 The information push device 900 is a schematic diagram of a specific implementation of the structure of the information push device 900, the information push device 900 also includes a third acquisition module 906 and a second determination module 907. Wherein:

[0190] The third acquisition module 906 is used to obtain the disaster type, the issuing institution, the industry type and the insurance type;

[0191] The second determination module 907 is used to determine different disaster prevention guidance strategies based on the disaster type, the issuing institution, the industry type and the insurance type.

[0192] In this embodiment, by obtaining the disaster type, issuing agency, industry type and insurance type, different disaster prevention guidance strategies are determined according to the disaster type, issuing agency, industry type and insurance type. The disaster prevention guidance strategies for different disasters can ensure that the customer's insurance rights and interests are fully protected.

[0193] Optionally, the information push device 900 is also used to modify the different disaster prevention guidance strategies if there are adjustments to the different disaster prevention guidance strategies, and obtain new different disaster prevention guidance strategies after the modification is approved.

[0194] In this embodiment, if there are adjustments to the disaster prevention guidance strategies for different disasters, they are modified on the basis of the disaster prevention guidance strategies for different disasters. After the modifications are approved, new disaster prevention guidance strategies for different disasters are obtained. The flexibility and adaptability of the disaster prevention guidance strategies can be improved, so that they can better meet the needs of different institutions and avoid duplication of work and waste of resources due to each institution independently configuring the copy.

[0195] See also Fig.13 ,for Fig. 9 The push module 903 is a schematic structural diagram of a specific implementation method, wherein the push module 903 includes a viewing submodule 9031 and a query submodule 9032.

[0196] in:

[0197] Viewing submodule 9031, used for the target user to view the list of insurance policies affected by natural disasters after receiving the message reminder from the APP end;

[0198] The query submodule 9032 is used to query the information of the insurance policies affected by natural disasters on the APP side based on the list of insurance policies affected by natural disasters, and obtain the disaster prevention guidance strategies corresponding to the insurance policies affected by natural disasters.

[0199] In this embodiment, after receiving the message reminder on the APP side, the target user can view the list of insurance policies affected by natural disasters, and based on the viewed list of insurance policies affected by natural disasters, query the information of the insurance policies affected by the disasters on the APP side to obtain the disaster prevention guidance strategies corresponding to the insurance policies affected by natural disasters, which helps to improve the user's awareness and participation, and can better protect the user's rights and property safety.

[0200] See also Fig.14 ,for Fig.13The structural diagram of a specific implementation of the query submodule 9032 in FIG. 9 , the query submodule 9032 includes a first full match query unit 90321, a first determination unit 90322, a second full match query unit 90323, a second determination unit 90324, a third full match query unit 90325, a third determination unit 90326, a fourth full match query unit 90327, a fourth determination unit 90328, and a fifth determination unit 90329. Wherein:

[0201] The first full match query unit 90321 is used to perform a first full match query on the insurance policy information affected by natural disasters on the APP side based on the checked insurance policy list affected by natural disasters;

[0202] The first determining unit 90322 is configured to determine the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster if the first full match query finds the insurance policy information affected by the natural disaster;

[0203] The second full match query unit 90323 is used to perform a second full match query on the insurance policy information affected by the natural disaster on the APP side if the first full match query fails to find the insurance policy information affected by the natural disaster;

[0204] The second determining unit 90324 is configured to determine the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster if the second full match query finds the insurance policy information affected by the natural disaster;

[0205] The third full match query unit 90325 is used to perform a third full match query on the insurance policy information affected by natural disasters on the APP side if the second full match query fails to find the insurance policy information affected by natural disasters;

[0206] The third determining unit 90326 is configured to determine the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster if the third full match query finds the insurance policy information affected by the natural disaster;

[0207] A fourth full match query unit 90327, configured to perform a fourth full match query on the insurance policy information affected by natural disasters on the APP side if the third full match query fails to find the insurance policy information affected by natural disasters;

[0208] The fourth determining unit 90328 is used to determine the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster if the fourth full match query finds the insurance policy information affected by the natural disaster;

[0209] The fifth determination unit 90329 is used to directly query the universal disaster prevention guidance strategy according to the disaster type to determine the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster if the fourth full match query cannot find the insurance policy information affected by the natural disaster.

[0210] In this embodiment, by checking the list of insurance policies affected by natural disasters, a first full match query is performed on the APP side for the insurance policy information affected by natural disasters. If the first full match query finds the insurance policy information affected by natural disasters, the disaster prevention guidance strategy corresponding to the insurance policy affected by natural disasters is determined. If the first full match query does not find the insurance policy information affected by natural disasters, a second full match query is performed on the APP side for the insurance policy information affected by natural disasters. If the second full match query finds the insurance policy information affected by natural disasters, the disaster prevention guidance strategy corresponding to the insurance policy affected by natural disasters is determined. If the second full match query does not find the insurance policy information affected by natural disasters, a third full match query is performed on the APP side for the insurance policy information affected by natural disasters. If the third full match query finds the policy information affected by natural disasters, the disaster prevention guidance strategy corresponding to the policy affected by natural disasters is determined. If the third full match query does not find the policy information affected by natural disasters, the fourth full match query is performed on the policy information affected by natural disasters on the APP side. If the fourth full match query finds the policy information affected by the disaster, the disaster prevention guidance strategy corresponding to the policy affected by natural disasters is determined. If the fourth full match query does not find the policy information affected by natural disasters, the general disaster prevention guidance strategy is directly queried according to the disaster type to determine the disaster prevention guidance strategy corresponding to the policy affected by natural disasters. The disaster prevention guidance strategy can provide better services and support to customers, and also improve customer satisfaction and loyalty.

[0211] To solve the above technical problems, the present application also provides a computer device. Fig.15 , Fig.15 This is a basic structural block diagram of the computer device in this embodiment.

[0212] The computer device 15 includes a memory 151, a processor 152, and a network interface 153 that are interconnected through a system bus. It should be noted that the figure only shows a computer device 15 having components 151-153, but it should be understood that it is not required to implement all the components shown, and more or fewer components can 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 calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital processors (DSPs), embedded devices, etc.

[0213] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0214] The memory 151 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, disk, optical disk, etc.

[0215] In some embodiments, the memory 151 may be an internal storage unit of the computer device 15, such as a hard disk or memory of the computer device 15. In other embodiments, the memory 151 may also be an external storage device of the computer device 15, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 15. Of course, the memory 151 may also include both the internal storage unit of the computer device 15 and its external storage device. In this embodiment, the memory 151 is generally used to store the operating system and various application software installed on the computer device 15, such as computer-readable instructions of the information push method, etc. In addition, the memory 151 may also be used to temporarily store various types of data that have been output or are to be output. The processor 152 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 152 is generally used to control the overall operation of the computer device 15. In this embodiment, the processor 152 is used to execute computer-readable instructions or process data stored in the memory 151, such as computer-readable instructions for executing the information pushing method.

[0216] The network interface 153 may include a wireless network interface or a wired network interface. The network interface 153 is generally used to establish a communication connection between the computer device 15 and other electronic devices.

[0217] In this embodiment, the impact data of the system in the knowledge base can be used to generate information affected by the target system to be tested and push it to the user, so that the user can intuitively obtain the impact scope of the target system to be tested. According to the impact scope of the target system to be tested, the impact of the change can be evaluated more accurately and quickly, irrelevant interference points can be eliminated, and regression use cases can be streamlined to avoid omissions of impact points in the early stage of the evaluation, resulting in the subsequent development of various systems. When they are jointly debugged, it is found that some associations have not been processed. In the mildest case, development time will be required to supplement the logic. In the most serious case, the solution design may need to be overturned and redone, thereby improving the efficiency of project development.

[0218] The present application also provides another implementation, namely, providing a computer-readable storage medium, wherein the computer-readable storage medium stores computer-readable instructions, and the computer-readable instructions can be executed by at least one processor to enable the at least one processor to perform the steps of the information push method as described above.

[0219] In this embodiment, the impact data of the system in the knowledge base can be used to generate information affected by the target system to be tested and push it to the user, so that the user can intuitively obtain the impact scope of the target system to be tested. According to the impact scope of the target system to be tested, the impact of the change can be evaluated more accurately and quickly, irrelevant interference points can be eliminated, and regression use cases can be streamlined to avoid omissions of impact points in the early stage of the evaluation, resulting in the subsequent development of various systems. When they are jointly debugged, it is found that some associations have not been processed. In the mildest case, development time will be required to supplement the logic. In the most serious case, the solution design may need to be overturned and redone, thereby improving the efficiency of project development.

[0220] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0221] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to perform equivalent replacement of some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. An information push method, characterized in that: The steps include: When a natural disaster occurs, obtain the disaster data of the natural disaster and the insurance policy of the target user; According to the correlation between the disaster data of the natural disaster and the insurance policy of the target user, a list of insurance policies of the target user affected by natural disasters is matched through different disaster screening insurance policy rules. The different disaster screening insurance policy rules are screening rules set according to different types of natural disasters, and are used to screen the insurance policies of the user. The screened insurance policies that meet the requirements of being affected by natural disasters will be included in the list of insurance policies affected by natural disasters; The insurance policy list information affected by natural disasters is pushed to the target user via a message queue so that the target user receives a message reminder and determines the disaster prevention guidance strategy corresponding to the insurance policy affected by natural disasters based on the received insurance policy list information affected by natural disasters.

2. The information push method according to claim 1, characterized in that: According to the correlation between the disaster data of the natural disaster and the insurance policy of the target user, the insurance policy list information of the target user affected by the natural disaster is matched through different disaster screening insurance policy rules, including: Calculating semantic relevance between the disaster-affected data of the natural disaster and the insurance policy of the target user through a natural language model to obtain a relevance value between the disaster-affected data of the natural disaster and the insurance policy of the target user; Based on the relevance value, the insurance policy list information of the target user affected by natural disasters is matched through different disaster screening policy rules, and the different relevance values ​​correspond to different matching rules.

3. The information push method according to claim 2, characterized in that: Before matching the target user's insurance policy list information affected by natural disasters by using different disaster screening insurance policy rules based on the correlation between the natural disaster affected data and the target user's insurance policy, the method further includes: Acquire different disaster types, wherein the different disaster types include natural disaster types; Based on the different disaster types, different disaster screening policy rules are determined.

4. The information push method according to claim 3, characterized in that: Before pushing the list of insurance policies affected by natural disasters to the target user in a message queue so that the target user receives a message reminder and determines the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters according to the received list of insurance policies affected by natural disasters, the method further includes: Obtain disaster type, issuing agency, industry type, and insurance type; Based on the disaster type, the issuing institution, the industry type and the insurance type, different disaster prevention guidance strategies are determined.

5. The information push method according to claim 4, characterized in that: After determining different disaster prevention guidance strategies based on the disaster type, the issuing institution, the industry type, and the insurance type, the method further includes: If the different disaster prevention guidance strategies are adjusted, they are modified on the basis of the different disaster prevention guidance strategies. After the modification is approved, new different disaster prevention guidance strategies are obtained.

6. The information push method according to claim 5, characterized in that: The target user determines the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters according to the received list of insurance policies affected by natural disasters, including: After receiving the message reminder from the APP, the target user checks the list of insurance policies affected by the natural disaster; Based on the list of insurance policies affected by natural disasters, the information of the insurance policies affected by disasters is queried on the APP side to determine the disaster prevention guidance strategies corresponding to the insurance policies affected by natural disasters.

7. The information push method according to claim 6, characterized in that: Based on the checked list of insurance policies affected by natural disasters, the information of the insurance policies affected by natural disasters is queried on the APP to obtain the disaster prevention guidance strategies corresponding to the insurance policies affected by natural disasters, including: Based on the checked list of insurance policies affected by natural disasters, a first full match query is performed on the APP for the information of insurance policies affected by natural disasters; If the first full match query finds the insurance policy information affected by the natural disaster, then determine the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster; If the first full match query fails to find the policy information affected by the natural disaster, a second full match query is performed on the APP side for the policy information affected by the natural disaster; If the second full match query finds information about insurance policies affected by natural disasters, then determine the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters; If the second full match query does not find any policy information affected by natural disasters, a third full match query is performed on the APP end for the policy information affected by natural disasters; If the third full match query finds information about insurance policies affected by natural disasters, determine the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters; If the third full match query does not find the policy information affected by the natural disaster, a fourth full match query is performed on the APP end for the policy information affected by the natural disaster; If the fourth full match query finds the insurance policy information affected by the disaster, the disaster prevention guidance strategy corresponding to the insurance policy affected by the natural disaster is determined; If the fourth full match query does not find any information about the insurance policies affected by the natural disasters, the universal disaster prevention guidance strategy is directly queried according to the disaster type to determine the disaster prevention guidance strategy corresponding to the insurance policies affected by the natural disasters.

8. An information push device, characterized in that: The information pushing device comprises: A first acquisition module is used to acquire disaster data of the natural disaster and the insurance policy of the target user when a natural disaster occurs; A matching module is used to match the target user's insurance policy list information affected by natural disasters according to the correlation between the natural disaster affected data and the target user's insurance policy through different disaster screening policy rules. The different disaster screening policy rules are screening rules set according to different types of natural disasters, and are used to screen the user's insurance policies. The screened insurance policies that meet the requirements of being affected by natural disasters will be included in the list of insurance policies affected by natural disasters; The push module is used to push the list information of insurance policies affected by natural disasters to the target user through a message queue, so that the target user receives a message reminder and determines the disaster prevention guidance strategy corresponding to the insurance policies affected by natural disasters based on the received list information of insurance policies affected by natural disasters.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores computer-readable instructions, and the processor implements the steps of the information push method according to any one of claims 1 to 7 when executing the computer-readable instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps of the information push method according to any one of claims 1 to 7 are implemented.

Images