Claim settlement data processing method and device, computer equipment and storage medium

Abstract

The invention belongs to the field of artificial intelligence and the field of financial science and technology, and relates to a claim data processing method. Determining a target digital signature algorithm corresponding to the claim settlement data based on a preset rule; performing digital signature processing on the claim settlement data by using the target digital signature algorithm to obtain corresponding target claim settlement data; calling a preset block chain; determining a target block chain node corresponding to the claim settlement data from the block chain; and storing the target claim settlement data into the target block chain node. The invention further provides a claim data processing device, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and the error positioning information can be stored in a block chain. The method can be applied to a claim data storage scene in the financial field, intelligent storage processing of the target claim data is realized based on the use of the block chain technology, and the security of the target claim data is effectively guaranteed.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence development technology and financial technology, and in particular to methods, devices, computer equipment and storage media for processing claims data. Background Art

[0002] Agricultural insurance is an important guarantee in agricultural production, which can effectively reduce the risks and losses of farmers. However, if the current agricultural insurance claims process lacks fairness and transparency, it is easy to cause disputes and controversies. Therefore, establishing an open, transparent, safe and reliable agricultural insurance claims disclosure platform is of great significance to improving the efficiency and fairness of agricultural insurance claims and promoting the healthy development of the agricultural insurance market.

[0003] The existing agricultural insurance claims data involves a large amount of sensitive personal data and financial transaction information, which poses a risk of data leakage and manipulation. At present, there is no corresponding means to store and process agricultural insurance claims data with high reliability, resulting in the inability to guarantee the data security of agricultural insurance claims data. Summary of the invention

[0004] The purpose of the embodiments of the present application is to propose a method, device, computer equipment and storage medium for processing claims data to solve the technical problem that the agricultural insurance claims data of existing agricultural insurance involves a large amount of sensitive personal data and financial transaction information, and there is a risk of data leakage and manipulation. At present, there is no corresponding means to store and process the agricultural insurance claims data with high reliability, resulting in the data security of the agricultural insurance claims data cannot be guaranteed.

[0005] In order to solve the above technical problems, the present application embodiment provides a method for processing claims data, which adopts the following technical solution:

[0006] Obtaining claims data to be stored;

[0007] Determine a target digital signature algorithm corresponding to the claim data based on a preset rule;

[0008] Performing digital signature processing on the claim data using the target digital signature algorithm to obtain corresponding target claim data;

[0009] Call the preset blockchain;

[0010] Determining a target blockchain node corresponding to the claim data from the blockchain;

[0011] The target claims data is stored in the target blockchain node.

[0012] Furthermore, the step of determining the target digital signature algorithm corresponding to the claim data based on the preset rules specifically includes:

[0013] Acquire a target data type corresponding to the claim data;

[0014] Call the preset data mapping table;

[0015] Querying a first digital signature algorithm corresponding to the target data type from the data mapping table;

[0016] The first digital signature algorithm is used as the target digital signature algorithm.

[0017] Furthermore, the step of determining the target digital signature algorithm corresponding to the claim data based on the preset rules specifically includes:

[0018] Get multiple digital signature algorithms;

[0019] Filter out a second digital signature algorithm whose algorithm processing efficiency is greater than a preset efficiency threshold from all the digital signature algorithms;

[0020] Obtaining an algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency of the second digital signature algorithm;

[0021] Calculate the algorithm score of each of the second digital signature algorithms based on the algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency;

[0022] Filter out a third digital signature algorithm with the highest algorithm score from all the second digital signature algorithms;

[0023] The third digital signature algorithm is used as the target digital signature algorithm.

[0024] Furthermore, the step of calculating the algorithm score of each of the second digital signature algorithms based on the algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency specifically includes:

[0025] Obtaining a first weight corresponding to the algorithm evaluation value;

[0026] Obtaining a second weight corresponding to the algorithm usage frequency;

[0027] Obtaining a third weight corresponding to the algorithm processing efficiency;

[0028] Based on the first weight, the second weight and the third weight, a preset calculation formula is called to calculate the specified algorithm evaluation value, the specified algorithm usage frequency and the specified algorithm processing efficiency of the specified digital signature algorithm to obtain a corresponding calculation result; wherein the specified digital signature algorithm is any one of all the digital signature algorithms;

[0029] The calculation result is used as the algorithm score of the specified digital signature algorithm.

[0030] Furthermore, the step of determining the target blockchain node corresponding to the claim data from the blockchain specifically includes:

[0031] Obtaining a claim settlement business type corresponding to the claim settlement data;

[0032] Determining a designated blockchain node corresponding to the claim settlement business type from the blockchain;

[0033] The designated blockchain node is used as the target blockchain node.

[0034] Furthermore, after the step of storing the target claim data in the target blockchain node, it also includes:

[0035] Determine whether a claim data query request for the blockchain triggered by a user is received; wherein the claim data query request carries a data identifier and user information of the user;

[0036] If so, authenticating the user based on the user information and a preset blacklist;

[0037] If the user passes the identity authentication, the user's authority is verified based on a preset authority analysis model;

[0038] If the user passes the authority verification, the designated claims data corresponding to the data identifier is obtained from the blockchain;

[0039] The designated claims data is pushed to the user.

[0040] Furthermore, the step of verifying the user's authority based on the preset authority analysis model specifically includes:

[0041] Calling the permission analysis model;

[0042] Performing permission analysis on the user information based on the permission analysis model to obtain a target permission level corresponding to the user;

[0043] Obtaining the specified permission level corresponding to the claims data access operation;

[0044] Determining whether the target permission level is greater than the specified permission level;

[0045] If so, it is determined that the user has passed the authority verification; otherwise, it is determined that the user has not passed the authority verification.

[0046] In order to solve the above technical problems, the embodiment of the present application further provides a claim data processing device, which adopts the following technical solution:

[0047] A first acquisition module, used to acquire the claims data to be stored;

[0048] A first determination module, configured to determine a target digital signature algorithm corresponding to the claim data based on a preset rule;

[0049] A processing module, used to perform digital signature processing on the claim data using the target digital signature algorithm to obtain corresponding target claim data;

[0050] The calling module is used to call the preset blockchain;

[0051] A second determination module is used to determine a target blockchain node corresponding to the claim data from the blockchain;

[0052] A storage module is used to store the target claims data in the target blockchain node.

[0053] 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:

[0054] Obtaining claims data to be stored;

[0055] Determine a target digital signature algorithm corresponding to the claim data based on a preset rule;

[0056] Performing digital signature processing on the claim data using the target digital signature algorithm to obtain corresponding target claim data;

[0057] Call the preset blockchain;

[0058] Determining a target blockchain node corresponding to the claim data from the blockchain;

[0059] The target claims data is stored in the target blockchain node.

[0060] 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:

[0061] Obtaining claims data to be stored;

[0062] Determine a target digital signature algorithm corresponding to the claim data based on a preset rule;

[0063] Performing digital signature processing on the claim data using the target digital signature algorithm to obtain corresponding target claim data;

[0064] Call the preset blockchain;

[0065] Determining a target blockchain node corresponding to the claim data from the blockchain;

[0066] The target claims data is stored in the target blockchain node.

[0067] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0068] The embodiment of the present application first obtains the claim data to be stored; then determines the target digital signature algorithm corresponding to the claim data based on the preset rules; then uses the target digital signature algorithm to digitally sign the claim data to obtain the corresponding target claim data; subsequently calls the preset blockchain, and determines the target blockchain node corresponding to the claim data from the blockchain; finally stores the target claim data in the target blockchain node. After obtaining the claim data to be stored, the embodiment of the present application performs digital signature processing on the claim data using the target digital signature algorithm corresponding to the claim data to obtain the corresponding target claim data, and then stores the target claim data in the target blockchain node corresponding to the claim data in the blockchain, thereby completing the intelligent storage processing of the target claim data. Since the blockchain adopts encryption technology and decentralized storage methods, the security of the target claim data is effectively guaranteed. In addition, by storing the target claim data in the corresponding target blockchain node in the blockchain, the storage standardization of the target claim data is effectively improved, which is conducive to the subsequent rapid acquisition of the corresponding claim data by querying the target blockchain node in the blockchain, thereby improving the efficiency of obtaining claim data. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] 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.

[0070] Figure 1 is an exemplary system architecture diagram to which the present application may be applied;

[0071] Figure 2A flowchart of an embodiment of a method for processing claims data according to the present application;

[0072] Figure 3 is a schematic diagram of the structure of an embodiment of a device for processing claims data according to the present application;

[0073] Figure 4 It is a structural diagram of an embodiment of a computer device according to the present application. DETAILED DESCRIPTION

[0074] 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.

[0075] 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.

[0076] 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.

[0077] 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.

[0078] 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.

[0079] 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, and the like.

[0080] 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 .

[0081] It should be noted that the method for processing claims data provided in the embodiment of the present application is generally executed by a server / terminal device, and accordingly, the device for processing claims data is generally set in the server / terminal device.

[0082] 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 the implementation requirements.

[0083] Continue to refer Figure 2 , showing a flowchart of an embodiment of a method for processing claims data according to the present application. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted. The method for processing claims data provided in the embodiment of the present application can be applied to any scenario where claims data storage is required, and the method for processing claims data can be applied to products in these scenarios, for example, claims data storage in the field of finance and insurance. The method for processing claims data includes the following steps:

[0084] Step S201, obtaining the claims data to be stored.

[0085] In this embodiment, the method for processing claims data is executed on an electronic device (eg Figure 1The server / terminal device shown in the figure) can obtain the claim data through a wired connection or a wireless connection. It should be pointed out that the above-mentioned wireless connection method may include but is not limited to 3G / 4G / 5G connection, Wi-Fi connection, Bluetooth connection, Wi MAX connection, Zigbee connection, UWB (Ultra Wi DeBand) connection, and other wireless connection methods currently known or to be developed in the future. The executor of the above-mentioned claim data processing method may specifically be an agricultural insurance claim processing platform. In the application scenario of financial insurance, the above-mentioned claim data may specifically be the claim data of agricultural insurance, or it may also be the claim data of animal husbandry insurance, the claim data of auto insurance, the claim data of medical insurance, and so on. The required claim data can be obtained from the claim cases entered by the insurance company. The claim data may specifically include data such as the insured person's information, loss situation, and claim amount.

[0086] Step S202: determining a target digital signature algorithm corresponding to the claim data based on preset rules.

[0087] In this embodiment, the specific implementation process of determining the target digital signature algorithm corresponding to the claim data based on preset rules will be further described in detail in subsequent specific embodiments of the present application and will not be elaborated on here.

[0088] Step S203: Use the target digital signature algorithm to perform digital signature processing on the claim data to obtain corresponding target claim data.

[0089] In this embodiment, by using the target digital signature algorithm to digitally sign the claim data to obtain the corresponding target claim data, the claim data can be saved after encryption, thereby effectively preventing the risk of leakage and manipulation of the claim data.

[0090] Step S204, calling the preset blockchain.

[0091] In this embodiment, blockchain is a new application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, platform product service layer, and application service layer. Among them, the above-mentioned blockchain is composed of multiple blockchain nodes. By adopting blockchain technology, the claims data is stored on the blockchain, which can achieve the openness, transparency, and non-tamperability of the claims data.

[0092] Step S205, determining a target blockchain node corresponding to the claim data from the blockchain.

[0093] In this embodiment, the specific implementation process of determining the target blockchain node corresponding to the claim data from the blockchain will be described in further detail in subsequent specific embodiments of the present application and will not be elaborated on here.

[0094] Step S206, storing the target claim data in the target blockchain node.

[0095] In this embodiment, by utilizing the encryption and distributed storage technology in the blockchain, the target claim data is stored in the target blockchain node, which ensures the security of the target claim data and improves the storage standardization of the target claim data. Specifically, blockchain technology provides decentralized and tamper-proof characteristics, which can ensure the transparency and credibility of claim data. All claim data and transaction records will be recorded on the blockchain, and anyone can view and verify them, thereby enhancing the authenticity and fairness of the public information. Through the distributed network of the blockchain, claim data can be shared and disseminated in real time, eliminating the time delay in the traditional public disclosure method. Farmers can check the latest claim progress and results at any time, including information on claim application, review, payment and other links, which ensures the fairness and transparency of the claim process and improves the efficiency of information transmission and feedback speed. Blockchain uses encryption technology and decentralized storage methods to ensure the security of claim data. Personal sensitive information is encrypted and stored, and only authorized participants can access it, effectively preventing the risk of data leakage and manipulation. The blockchain platform can automatically execute various operations and rules in the claim process based on smart contract technology. This can simplify and speed up the claims processing process, realize the automation and intelligence of the claims process, reduce operational links and human errors, and improve the efficiency and accuracy of claims. The blockchain-based disclosure platform can provide farmers with more opportunities for participation and interaction. Farmers can query and comment on claims data, raise questions and suggestions, and communicate with insurance companies and other farmers through the platform, which enhances the interactivity and transparency of the disclosure process. The decentralized characteristics of blockchain technology can realize direct point-to-point interaction and reduce the intermediary links in the traditional disclosure process. Farmers and insurance companies can directly exchange information and perform claims operations, which improves efficiency and reduces costs.

[0096] The present application first obtains the claim data to be stored; then determines the target digital signature algorithm corresponding to the claim data based on the preset rules; then uses the target digital signature algorithm to digitally sign the claim data to obtain the corresponding target claim data; subsequently calls the preset blockchain, and determines the target blockchain node corresponding to the claim data from the blockchain; finally stores the target claim data in the target blockchain node. After obtaining the claim data to be stored, the present application digitally signs the claim data using the target digital signature algorithm corresponding to the claim data to obtain the corresponding target claim data, and then stores the target claim data in the target blockchain node corresponding to the claim data in the blockchain, thereby completing the intelligent storage processing of the target claim data. Since the blockchain adopts encryption technology and decentralized storage methods, the security of the target claim data is effectively guaranteed. In addition, by storing the target claim data in the corresponding target blockchain node in the blockchain, the storage standardization of the target claim data is effectively improved, which is conducive to the subsequent rapid acquisition of the corresponding claim data by querying the target blockchain node in the blockchain, thereby improving the efficiency of obtaining the claim data.

[0097] Specifically, in the actual application process of the agricultural insurance claims platform, the agricultural insurance claims platform may include the following benefits:

[0098] 1. Improved transparency and fairness: The decentralized and tamper-proof nature of blockchain ensures the transparency and fairness of claims data. Farmers can directly view and verify claims data and transaction records, eliminating opaque and unfair factors and increasing trust in the claims process.

[0099] 2. Instant sharing and efficient processing: The blockchain-based disclosure platform can realize the instant sharing and dissemination of claims data, so that farmers can learn the latest claims progress and results at any time. This can reduce the time delay of information transmission, speed up the processing of claims, and improve efficiency and responsiveness.

[0100] 3. Data security and privacy protection: Blockchain uses encryption and distributed storage technology to ensure the security of claims data. Personal sensitive information is encrypted and stored, and only authorized parties can access it, effectively preventing the risk of data leakage and manipulation.

[0101] 4. Reduce intermediary links and costs: The blockchain-based disclosure platform can achieve direct point-to-point interaction, reducing the intermediary links in the traditional disclosure process. Farmers and insurance companies can directly exchange information and settle claims, reducing intermediary costs and time costs.

[0102] 5. Enhanced user participation and interaction: The blockchain-based disclosure platform can provide farmers with more opportunities for participation and interaction. Farmers can query and comment on claims data, raise questions and suggestions, and communicate with insurance companies and other farmers through the platform, which enhances the interactivity and transparency of the disclosure process.

[0103] 6. Improve user satisfaction and trust: The improved blockchain-based disclosure platform can provide greater transparency, efficiency and security.

[0104] In summary, the blockchain-based agricultural insurance claims platform has the potential for improvement and innovation in terms of transparency, immediacy, data security, smart contract application, user participation, and removal of intermediaries. These features can enhance farmers’ trust and satisfaction with claims data and promote the development and healthy operation of the insurance market.

[0105] In some optional implementations, step S202 includes the following steps:

[0106] Obtain a target data type corresponding to the claim data.

[0107] In this embodiment, the above-mentioned target data type refers to the business data type of the claim data, that is, the target data type corresponding to the claim data is the claim business type.

[0108] Call the preset data mapping table.

[0109] In this embodiment, the data mapping table is a data table that is pre-constructed according to actual data encryption business requirements and stores a variety of business types and data signature algorithms corresponding to the various business types.

[0110] A first digital signature algorithm corresponding to the target data type is queried from the data mapping table.

[0111] In this embodiment, the designated business type matching the target data type can be first found from the data mapping table, and then the digital signature algorithm corresponding to the designated business type can be found from the data mapping table and used as the first digital signature algorithm.

[0112] The first digital signature algorithm is used as the target digital signature algorithm.

[0113] The present application obtains the target data type corresponding to the claim data; then calls a preset data mapping table; then queries the first digital signature algorithm corresponding to the target data type from the data mapping table; and subsequently uses the first digital signature algorithm as the target digital signature algorithm. The present application obtains the target data type corresponding to the claim data, and then based on the use of the data mapping table, quickly queries the target digital signature algorithm corresponding to the target data type of the claim data, thereby improving the determination efficiency and standardization of the target digital signature algorithm.

[0114] In some optional implementations of this embodiment, step S202 includes the following steps:

[0115] Get multiple digital signature algorithms.

[0116] In this embodiment, digital signature refers to some data attached to the data unit, or a cryptographic transformation made to the data unit. This data or transformation allows the recipient of the data unit to confirm the source of the data unit and the integrity of the data unit and protect the data to prevent it from being forged by someone (such as the recipient). It is a method of signing a message in electronic form, and a signed message can be transmitted in a communication network. Digital signatures can be obtained based on both public key cryptography and private key cryptography, mainly digital signatures based on public key cryptography. Among them, common digital signature algorithms can specifically include RSA, El Gama l, Fiat-Shami, Guillou-Quisquarter, Schnorr, Ong-Schnorr-Shamir digital signature algorithm, Des / DSA, elliptic curve digital signature algorithm, finite automaton digital signature algorithm, etc.

[0117] A second digital signature algorithm whose algorithm processing efficiency is greater than a preset efficiency threshold is screened out from all the digital signature algorithms.

[0118] In this embodiment, the algorithm processing efficiency of all the digital signature algorithms can be found by querying the open source user data corresponding to all the digital signature algorithms, and querying the algorithm processing efficiency of all the digital signature algorithms from the user data. There is no specific limitation on the selection of the value of the efficiency threshold, which can be set according to actual usage requirements.

[0119] Obtain an algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency of the second digital signature algorithm.

[0120] In this embodiment, the algorithm evaluation value, algorithm usage frequency and algorithm processing efficiency of the second digital signature algorithm can be queried by querying the open source user data corresponding to all the digital signature algorithms, and from the user data.

[0121] An algorithm score of each of the second digital signature algorithms is calculated based on the algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency.

[0122] In this embodiment, the specific implementation process of calculating the algorithm score of each second digital signature algorithm based on the algorithm evaluation value, algorithm usage frequency and algorithm processing efficiency will be further described in detail in subsequent specific embodiments of the present application and will not be elaborated on here.

[0123] Filter out a third digital signature algorithm with the highest algorithm score from all the second digital signature algorithms;

[0124] In this embodiment, the algorithm scores of all the second digital signature algorithms may be numerically compared to select the third digital signature algorithm with the highest algorithm score.

[0125] The third digital signature algorithm is used as the target digital signature algorithm.

[0126] The present application obtains multiple digital signature algorithms; then selects a second digital signature algorithm whose algorithm processing efficiency is greater than a preset efficiency threshold from all the digital signature algorithms; then obtains the algorithm evaluation value, algorithm usage frequency and algorithm processing efficiency of the second digital signature algorithm; subsequently calculates the algorithm score of each second digital signature algorithm based on the algorithm evaluation value, algorithm usage frequency and algorithm processing efficiency; finally selects a third digital signature algorithm with the highest algorithm score from all the second digital signature algorithms, and uses the third digital signature algorithm as the target digital signature algorithm. The present application first preliminarily selects all the digital signature algorithms by using the algorithm processing efficiency to obtain the second digital signature algorithm, so that only the obtained second digital signature algorithm needs to be analyzed and processed to obtain the target digital signature algorithm, without the need to analyze and process all the digital signature algorithms, which is conducive to reducing the processing workload of determining the target digital signature algorithm and improving the generation efficiency of the target digital signature algorithm. In addition, by analyzing and processing the algorithm evaluation values, algorithm usage frequency and algorithm processing efficiency of various second digital signature algorithms, and then determining the target digital signature algorithm from a plurality of second digital signature algorithms according to the obtained analysis results, the determination intelligence and accuracy of the target digital signature algorithm are improved.

[0127] In some optional implementations, calculating the algorithm score of each second digital signature algorithm based on the algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency includes the following steps:

[0128] A first weight corresponding to the algorithm evaluation value is obtained.

[0129] In this embodiment, there is no specific limitation on the value of the first weight, which can be set according to actual analysis and processing requirements.

[0130] A second weight corresponding to the algorithm usage frequency is obtained.

[0131] In this embodiment, there is no specific limitation on the value of the second weight, which can be set according to actual analysis and processing requirements.

[0132] A third weight corresponding to the algorithm processing efficiency is obtained.

[0133] In this embodiment, there is no specific limitation on the value of the third weight, which can be set according to actual analysis and processing requirements.

[0134] Based on the first weight, the second weight and the third weight, a preset calculation formula is called to calculate the specified algorithm evaluation value, the specified algorithm usage frequency and the specified algorithm processing efficiency of the specified digital signature algorithm to obtain a corresponding calculation result; wherein the specified digital signature algorithm is any one of all the digital signature algorithms.

[0135] In this embodiment, the above calculation formula may specifically adopt a weighted sum formula.

[0136] The calculation result is used as the algorithm score of the specified digital signature algorithm.

[0137] This application obtains the first weight corresponding to the algorithm evaluation value; obtains the second weight corresponding to the algorithm usage frequency; and obtains the third weight corresponding to the algorithm processing efficiency; subsequently based on the first weight, the second weight and the third weight, calls the preset calculation formula to calculate the specified algorithm evaluation value, the specified algorithm usage frequency and the specified algorithm processing efficiency of the specified digital signature algorithm to obtain the corresponding calculation result; finally, the calculation result is used as the algorithm score of the specified digital signature algorithm. This application uses the preset weights to analyze and process the algorithm evaluation value, algorithm usage frequency and algorithm processing efficiency of each second digital signature algorithm, and then determines the target digital signature algorithm from a plurality of second digital signature algorithms according to the obtained analysis results. Since the target digital signature algorithm has the best algorithm evaluation value, algorithm usage frequency and algorithm processing efficiency, the accuracy of determining the target digital signature algorithm can be improved, so that the subsequent use of the target digital signature algorithm to perform digital signature processing on the claims data can ensure a better processing effect.

[0138] In some optional implementations, step S205 includes the following steps:

[0139] Obtain the claim business type corresponding to the claim data.

[0140] A designated blockchain node corresponding to the claim settlement business type is determined from the blockchain.

[0141] In this embodiment, for each business type, a corresponding blockchain node is pre-set in the blockchain for each business type, and a blockchain node is dedicated to storing business data of a business type that has a corresponding relationship with the blockchain node.

[0142] The designated blockchain node is used as the target blockchain node.

[0143] The present application obtains the claim business type corresponding to the claim data; then determines the designated blockchain node corresponding to the claim business type from the blockchain; and subsequently uses the designated blockchain node as the target blockchain node. The present application determines the designated blockchain node of the claim business type corresponding to the claim data from the blockchain and uses it as the target blockchain node, thereby improving the efficiency of determining the target blockchain node and ensuring the accuracy of the obtained target blockchain node.

[0144] In some optional implementations of this embodiment, after step S206, the electronic device may further perform the following steps:

[0145] Determine whether a claim data query request for the blockchain triggered by a user is received; wherein the claim data query request carries a data identifier and user information of the user.

[0146] In this embodiment, the data identifier may refer to the index information of the corresponding claim data. The user information may include the user's name information.

[0147] If so, identity verification is performed on the user based on the user information and a preset blacklist.

[0148] In this embodiment, by detecting whether the blacklist stores the same specified information as the user information, if not, it is determined that the user has passed the identity authentication, and if so, it is determined that the user has not passed the identity authentication. The blacklist is a pre-built list data storing the user information of illegal users.

[0149] If the user passes the identity authentication, the user's authority is verified based on a preset authority analysis model.

[0150] In this embodiment, the specific implementation process of the above-mentioned permission verification of the user based on the preset permission analysis model will be further described in detail in the subsequent specific embodiments of this application, and will not be elaborated in detail here.

[0151] If the user passes the authority verification, the designated claims data corresponding to the data identifier is obtained from the blockchain.

[0152] In this embodiment, the target blockchain node corresponding to the claim business type can be determined from the blockchain, and then the designated claim data corresponding to the data identifier can be queried from the target blockchain node.

[0153] The designated claims data is pushed to the user.

[0154] This application determines whether a claim data query request for the blockchain triggered by a user is received; if so, the user is authenticated based on the user information and a preset blacklist; if the user passes the identity authentication, the user is authenticated based on a preset permission analysis model; if the user passes the permission verification, the designated claim data corresponding to the data identifier is obtained from the blockchain; and the designated claim data is subsequently pushed to the user. After receiving a claim data query request for the blockchain triggered by a user, this application authenticates the user based on the user information and a preset blacklist, and uses a permission analysis model to verify the user's permissions. Only when the user passes both the identity authentication and permission verification, the designated claim data corresponding to the data identifier will be obtained from the blockchain and pushed to the user, thereby effectively preventing the risk of claim data leakage and manipulation and ensuring the security of claim data.

[0155] In some optional implementations of this embodiment, the performing authority verification on the user based on a preset authority analysis model includes the following steps:

[0156] The permission analysis model is called.

[0157] In this embodiment, the authority analysis model is a pre-built analysis model that stores a mapping relationship between personal information of multiple customers and authority levels.

[0158] The user information is subjected to permission analysis based on the permission analysis model to obtain a target permission level corresponding to the user.

[0159] In this embodiment, the permission analysis is performed on the user information by using the permission analysis model, so as to query the permission information matching the user information from the permission analysis model and use it as the target permission level corresponding to the user.

[0160] Gets the specified permission level corresponding to claims data access operations.

[0161] In this embodiment, for different business processing operations, permission levels having a one-to-one correspondence with each different business processing operation are pre-set according to actual permission allocation requirements.

[0162] Determine whether the target permission level is greater than the specified permission level.

[0163] If so, it is determined that the user has passed the authority verification; otherwise, it is determined that the user has not passed the authority verification.

[0164] In this embodiment, if the target permission level is greater than the specified permission level, it is determined that the user has the permission to perform the claim data access operation, and it is determined that the user has passed the permission verification. If the target permission level is less than the specified permission level, it is determined that the user does not have the permission to perform the claim data access operation, and it is determined that the user has not passed the permission verification.

[0165] The present application calls the permission analysis model; then performs permission analysis on the user information based on the permission analysis model to obtain the target permission level corresponding to the user; then obtains the specified permission level corresponding to the claims data access operation; subsequently determines whether the target permission level is greater than the specified permission level; if so, determines that the user has passed the permission verification, otherwise determines that the user has not passed the permission verification. The present application performs permission analysis on the user information based on the use of the permission analysis model to obtain the target permission level corresponding to the user, and then compares the obtained target permission level with the specified permission level corresponding to the claims data access operation, so that the permission verification for the user can be accurately completed according to the comparison result, thereby improving the processing efficiency and accuracy of the permission verification and ensuring the accuracy of the generated permission verification result.

[0166] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0167] It should be emphasized that in order to further ensure the privacy and security of the above-mentioned target claims data, the above-mentioned target claims data can also be stored in a node of a blockchain.

[0168] The blockchain referred to in this application is a new application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, platform product service layer, and application service layer.

[0169] The embodiments of the present application 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.

[0170] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0171] 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).

[0172] 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.

[0173] Further references Figure 3 , as a response to the above Figure 2 In order to realize the method shown in the figure, the present application provides an embodiment of a claim data processing device, and the device embodiment is Figure 2 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0174] like Figure 3 As shown, the claim data processing device 300 described in this embodiment includes: a first acquisition module 301, a first determination module 302, a processing module 303, a calling module 304, a second determination module 305 and a storage module 306. Among them:

[0175] A first acquisition module 301 is used to acquire the claims data to be stored;

[0176] A first determination module 302, for determining a target digital signature algorithm corresponding to the claim data based on a preset rule;

[0177] The processing module 303 is used to perform digital signature processing on the claim data using the target digital signature algorithm to obtain corresponding target claim data;

[0178] A calling module 304 is used to call a preset blockchain;

[0179] A second determination module 305 is used to determine a target blockchain node corresponding to the claim data from the blockchain;

[0180] The storage module 306 is used to store the target claim data in the target blockchain node.

[0181] In this embodiment, the operations performed by the above modules or units correspond one-to-one to the steps of the method for processing claims data in the aforementioned implementation mode, and will not be repeated here.

[0182] In some optional implementations of this embodiment, the first determining module 302 includes:

[0183] A first acquisition submodule is used to acquire a target data type corresponding to the claim data;

[0184] The first calling submodule is used to call a preset data mapping table;

[0185] A query submodule, used to query the first digital signature algorithm corresponding to the target data type from the data mapping table;

[0186] The first determining submodule is configured to use the first digital signature algorithm as the target digital signature algorithm.

[0187] In this embodiment, the operations performed by the above modules or units correspond one-to-one to the steps of the method for processing claims data in the aforementioned implementation mode, and will not be repeated here.

[0188] In some optional implementations of this embodiment, the first determining module 302 includes:

[0189] The second acquisition submodule is used to acquire multiple digital signature algorithms;

[0190] A first screening submodule, used to screen out a second digital signature algorithm whose algorithm processing efficiency is greater than a preset efficiency threshold from all the digital signature algorithms;

[0191] A third acquisition submodule is used to obtain the algorithm evaluation value, algorithm usage frequency and algorithm processing efficiency of the second digital signature algorithm;

[0192] A calculation submodule, used to calculate the algorithm score of each of the second digital signature algorithms based on the algorithm evaluation value, algorithm usage frequency and algorithm processing efficiency;

[0193] A second screening submodule, used for screening out a third digital signature algorithm with the highest algorithm score from all the second digital signature algorithms;

[0194] The second determining submodule is used to use the third digital signature algorithm as the target digital signature algorithm.

[0195] In this embodiment, the operations performed by the above modules or units correspond one-to-one to the steps of the method for processing claims data in the aforementioned implementation mode, and will not be repeated here.

[0196] In some optional implementations of this embodiment, the calculation submodule includes:

[0197] A first acquisition unit, used to acquire a first weight corresponding to the algorithm evaluation value;

[0198] A second acquisition unit, used to acquire a second weight corresponding to the algorithm usage frequency;

[0199] A third acquisition unit, used to acquire a third weight corresponding to the algorithm processing efficiency;

[0200] a calculation unit, configured to calculate and process the specified algorithm evaluation value, the specified algorithm usage frequency and the specified algorithm processing efficiency of the specified digital signature algorithm based on the first weight, the second weight and the third weight by calling a preset calculation formula to obtain a corresponding calculation result; wherein the specified digital signature algorithm is any one of all the digital signature algorithms;

[0201] A determination unit is used to use the calculation result as the algorithm score of the specified digital signature algorithm.

[0202] In this embodiment, the operations performed by the above modules or units correspond one-to-one to the steps of the method for processing claims data in the aforementioned implementation mode, and will not be repeated here.

[0203] In some optional implementations of this embodiment, the second determining module 305 includes:

[0204] A fourth acquisition submodule is used to acquire the claim settlement business type corresponding to the claim settlement data;

[0205] A third determination submodule is used to determine a designated blockchain node corresponding to the claim settlement business type from the blockchain;

[0206] The fourth determination submodule is used to use the designated blockchain node as the target blockchain node.

[0207] In this embodiment, the operations performed by the above modules or units correspond one-to-one to the steps of the method for processing claims data in the aforementioned implementation mode, and will not be repeated here.

[0208] In some optional implementations of this embodiment, the claim data processing device further includes:

[0209] A judgment module, used to judge whether a claim data query request for the blockchain triggered by a user is received; wherein the claim data query request carries a data identifier and user information of the user;

[0210] A first verification module, configured to authenticate the user based on the user information and a preset blacklist;

[0211] A second verification module is used to verify the user's authority based on a preset authority analysis model if the user passes the identity verification;

[0212] A second acquisition module, configured to acquire, from the blockchain, designated claims data corresponding to the data identifier if the user passes the authority verification;

[0213] A push module is used to push the specified claims data to the user.

[0214] In this embodiment, the operations performed by the above modules or units correspond one-to-one to the steps of the method for processing claims data in the aforementioned implementation mode, and will not be repeated here.

[0215] In some optional implementations of this embodiment, the second verification module includes:

[0216] A second calling submodule is used to call the authority analysis model;

[0217] An analysis submodule, configured to perform permission analysis on the user information based on the permission analysis model to obtain a target permission level corresponding to the user;

[0218] A fifth acquisition submodule, for acquiring a specified permission level corresponding to a claims data access operation;

[0219] A judgment submodule, used to judge whether the target permission level is greater than the specified permission level;

[0220] The determination submodule is used to determine that if so, the user has passed the authority verification, otherwise, the user has not passed the authority verification.

[0221] In this embodiment, the operations performed by the above modules or units correspond one-to-one to the steps of the method for processing claims data in the aforementioned implementation mode, and will not be repeated here.

[0222] To solve the above technical problems, the present application also provides a computer device. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0223] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are interconnected through a system bus. It should be noted that the figure only shows a computer device 4 with components 41-43, 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.

[0224] 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.

[0225] The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 41 can be an internal storage unit of the computer device 4, such as a hard disk or memory of the computer device 4. In other embodiments, the memory 41 can also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart memory card (Smart Med ia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 4. Of course, the memory 41 can also include both the internal storage unit of the computer device 4 and its external storage device. In this embodiment, the memory 41 is generally used to store the operating system and various application software installed on the computer device 4, such as computer-readable instructions of the method for processing claims data, etc. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or are to be output.

[0226] The processor 42 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run the computer-readable instructions stored in the memory 41 or process data, such as computer-readable instructions for running the method for processing the claims data.

[0227] The network interface 43 may include a wireless network interface or a wired network interface. The network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

[0228] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0229] In the embodiment of the present application, firstly, the claim data to be stored is obtained; then, the target digital signature algorithm corresponding to the claim data is determined based on the preset rules; then, the target digital signature algorithm is used to digitally sign the claim data to obtain the corresponding target claim data; subsequently, the preset blockchain is called, and the target blockchain node corresponding to the claim data is determined from the blockchain; finally, the target claim data is stored in the target blockchain node. After obtaining the claim data to be stored, the embodiment of the present application performs digital signature processing on the claim data by using the target digital signature algorithm corresponding to the claim data to obtain the corresponding target claim data, and then stores the target claim data in the target blockchain node corresponding to the claim data in the blockchain, thereby completing the intelligent storage processing of the target claim data. Since the blockchain adopts encryption technology and decentralized storage methods, the security of the target claim data is effectively guaranteed. In addition, by storing the target claim data in the corresponding target blockchain node in the blockchain, the storage standardization of the target claim data is effectively improved, which is conducive to the subsequent rapid acquisition of the corresponding claim data by querying the target blockchain node in the blockchain, thereby improving the efficiency of obtaining the claim data.

[0230] The present application also provides another embodiment, 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 claim data processing method as described above.

[0231] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0232] In the embodiment of the present application, firstly, the claim data to be stored is obtained; then, the target digital signature algorithm corresponding to the claim data is determined based on the preset rules; then, the target digital signature algorithm is used to digitally sign the claim data to obtain the corresponding target claim data; subsequently, the preset blockchain is called, and the target blockchain node corresponding to the claim data is determined from the blockchain; finally, the target claim data is stored in the target blockchain node. After obtaining the claim data to be stored, the embodiment of the present application performs digital signature processing on the claim data by using the target digital signature algorithm corresponding to the claim data to obtain the corresponding target claim data, and then stores the target claim data in the target blockchain node corresponding to the claim data in the blockchain, thereby completing the intelligent storage processing of the target claim data. Since the blockchain adopts encryption technology and decentralized storage methods, the security of the target claim data is effectively guaranteed. In addition, by storing the target claim data in the corresponding target blockchain node in the blockchain, the storage standardization of the target claim data is effectively improved, which is conducive to the subsequent rapid acquisition of the corresponding claim data by querying the target blockchain node in the blockchain, thereby improving the efficiency of obtaining the claim data.

[0233] 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.

[0234] 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. A method for processing claims data, characterized in that: The steps include: Obtaining claims data to be stored; Determine a target digital signature algorithm corresponding to the claim data based on a preset rule; Performing digital signature processing on the claim data using the target digital signature algorithm to obtain corresponding target claim data; Call the preset blockchain; Determining a target blockchain node corresponding to the claim data from the blockchain; The target claims data is stored in the target blockchain node.

2. The method for processing claims data according to claim 1, characterized in that: The step of determining the target digital signature algorithm corresponding to the claim data based on the preset rules specifically includes: Acquire a target data type corresponding to the claim data; Call the preset data mapping table; Querying a first digital signature algorithm corresponding to the target data type from the data mapping table; The first digital signature algorithm is used as the target digital signature algorithm.

3. The method for processing claims data according to claim 1, characterized in that: The step of determining the target digital signature algorithm corresponding to the claim data based on the preset rules specifically includes: Get multiple digital signature algorithms; Filter out a second digital signature algorithm whose algorithm processing efficiency is greater than a preset efficiency threshold from all the digital signature algorithms; Obtaining an algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency of the second digital signature algorithm; Calculate the algorithm score of each of the second digital signature algorithms based on the algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency; Filter out a third digital signature algorithm with the highest algorithm score from all the second digital signature algorithms; The third digital signature algorithm is used as the target digital signature algorithm.

4. The method for processing claims data according to claim 3, characterized in that: The step of calculating the algorithm score of each of the second digital signature algorithms based on the algorithm evaluation value, algorithm usage frequency, and algorithm processing efficiency specifically includes: Obtaining a first weight corresponding to the algorithm evaluation value; Obtaining a second weight corresponding to the algorithm usage frequency; Obtaining a third weight corresponding to the algorithm processing efficiency; Based on the first weight, the second weight and the third weight, a preset calculation formula is called to calculate the specified algorithm evaluation value, the specified algorithm usage frequency and the specified algorithm processing efficiency of the specified digital signature algorithm to obtain a corresponding calculation result; wherein the specified digital signature algorithm is any one of all the digital signature algorithms; The calculation result is used as the algorithm score of the specified digital signature algorithm.

5. The method for processing claims data according to claim 1, characterized in that: The step of determining a target blockchain node corresponding to the claim data from the blockchain specifically includes: Obtaining a claim settlement business type corresponding to the claim settlement data; Determining a designated blockchain node corresponding to the claim settlement business type from the blockchain; The designated blockchain node is used as the target blockchain node.

6. The method for processing claims data according to claim 1, characterized in that: After the step of storing the target claim data in the target blockchain node, the step further includes: Determine whether a claim data query request for the blockchain triggered by a user is received; wherein the claim data query request carries a data identifier and user information of the user; If so, authenticating the user based on the user information and a preset blacklist; If the user passes the identity authentication, the user's authority is verified based on a preset authority analysis model; If the user passes the authority verification, the designated claims data corresponding to the data identifier is obtained from the blockchain; The designated claims data is pushed to the user.

7. The method for processing claims data according to claim 6, characterized in that: The step of verifying the user's authority based on the preset authority analysis model specifically includes: Calling the permission analysis model; Performing permission analysis on the user information based on the permission analysis model to obtain a target permission level corresponding to the user; Obtaining the specified permission level corresponding to the claims data access operation; Determining whether the target permission level is greater than the specified permission level; If so, it is determined that the user has passed the authority verification; otherwise, it is determined that the user has not passed the authority verification.

8. A claim data processing device, characterized in that: include: A first acquisition module, used to acquire the claims data to be stored; A first determination module, used to determine a target digital signature algorithm corresponding to the claim data based on a preset rule; A processing module, used to perform digital signature processing on the claim data using the target digital signature algorithm to obtain corresponding target claim data; The calling module is used to call the preset blockchain; A second determination module is used to determine a target blockchain node corresponding to the claim data from the blockchain; A storage module is used to store the target claims data in the target blockchain node.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores computer-readable instructions, and the processor implements the steps of the method for processing claims data as described in 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, which, when executed by a processor, implement the steps of the method for processing claims data according to any one of claims 1 to 7.

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