CN114897624A - Policy data merging method, device, equipment and storage medium - Google Patents

Policy data merging method, device, equipment and storage medium Download PDF

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CN114897624A
CN114897624A CN202210542647.1A CN202210542647A CN114897624A CN 114897624 A CN114897624 A CN 114897624A CN 202210542647 A CN202210542647 A CN 202210542647A CN 114897624 A CN114897624 A CN 114897624A
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付秀国
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Ping An Property and Casualty Insurance Company of China Ltd
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    • H04L63/0435Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply symmetric encryption, i.e. same key used for encryption and decryption
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    • H04L63/0442Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply asymmetric encryption, i.e. different keys for encryption and decryption
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2463/00Additional details relating to network architectures or network communication protocols for network security covered by H04L63/00
    • H04L2463/062Additional details relating to network architectures or network communication protocols for network security covered by H04L63/00 applying encryption of the keys

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Abstract

The invention relates to the field of big data, and discloses a policy data merging method, which comprises the following steps: acquiring a policy identifier to be merged and a policy data set to be merged; screening out combinable policy data sets from the policy data to be combined, and judging the type of the security policy dangerous species; when only one policy insurance policy category is contained, determining a combinable policy identification set, and encrypting the combinable policy identification to obtain a combined policy identification; when the policy insurance variety contains a plurality of policy insurance varieties, determining a mergeable policy identification set corresponding to the policy insurance variety, and encrypting the mergeable policy identification set to obtain a merged policy identification; and generating a merged policy according to the merged policy identifier and the mergeable policy data set. In addition, the invention also relates to a block chain technology, and the merged policy identifier and the merged policy data set can be stored in the nodes of the block chain. The invention also provides a policy data merging device, electronic equipment and a storage medium. The invention can improve the efficiency of insurance policy application.

Description

Policy data merging method, device, equipment and storage medium
Technical Field
The invention relates to the field of big data, in particular to a policy data merging method and device, electronic equipment and a computer readable storage medium.
Background
When the production order is in the vehicle insurance, the production order comprises single insurance, insurance + non-vehicle insurance, single business insurance, business insurance + non-vehicle insurance, insurance + business insurance + non-vehicle insurance and the like, and the production order in the situations has larger problems in operation and display.
The existing insurance policy display and related operation processes show the insurance policy independently, new insurance policies and old insurance policies cannot be distinguished in time, a large amount of insurance policies are accumulated, the operation is complex, the condition that the insurance policy of the same user is checked for multiple times and even the insurance policy is modified for multiple times subsequently occurs, and the insurance policy application efficiency is influenced.
Disclosure of Invention
The invention provides a policy data merging method, a policy data merging device and a computer readable storage medium, and mainly aims to solve the problem of low efficiency in multi-policy insurance application.
In order to achieve the above object, the policy data merging method provided by the present invention comprises:
acquiring to-be-merged policy identifiers of the same user, and acquiring to-be-merged policy data sets according to the to-be-merged policy identifiers;
screening out combinable policy data sets in the policy data sets to be combined, and judging policy dangerous species in the combinable policy data sets;
when the mergeable policy data set only contains one policy insurance variety, determining a mergeable policy identification set according to the mergeable policy data set, and encrypting the mergeable policy identification set by using a preset encryption algorithm to obtain a mergeable policy identification;
when the mergeable policy-keeping identification data set contains a plurality of policy-keeping risks, determining a mergeable policy-keeping identification set corresponding to the policy-keeping risks according to the mergeable policy-keeping data, and merging and encrypting the mergeable policy-keeping identification set by using the encryption algorithm to obtain a merged policy-keeping identification;
and generating a merged policy according to the merged policy identifier and the mergeable policy data set.
Optionally, the obtaining policy data to be merged according to the policy identifier to be merged includes:
inquiring the policy insurance risk types and the insurance application time corresponding to the policy identifications to be merged in a preset database according to the policy identifications to be merged;
determining a policy and a premium according to the policy risk species;
inquiring the initial state and the operation process set of the insurance policy to be merged, and determining the application state of the insurance policy to be merged according to the operation process set;
and collecting the insurance policy risk species, the insurance time, the insurance policy premium and the insurance state to obtain an insurance policy data set to be merged.
Optionally, the screening out mergeable policy data sets in the policy data sets to be merged includes:
extracting the to-be-merged insurance policy data with consistent insurance application time and insurance application state from the to-be-merged insurance policy data to obtain mergeable insurance policy data;
merging mergeable policy data with consistent risk types in the mergeable policy information to obtain one or more mergeable policy data subsets;
and collecting the combinable policy subsets to obtain a combinable policy data set.
Optionally, the determining a mergeable policy identification set according to the mergeable policy data set includes:
determining the policy identifier to be merged corresponding to the mergeable policy set according to the mergeable policy data set to obtain a mergeable policy identifier;
and collecting the combinable policy identifications to obtain a combinable policy identification set.
Optionally, encrypting the mergeable policy identifier set by using a preset encryption algorithm to obtain a mergeable policy identifier includes:
generating a key pair according to a preset encryption algorithm, wherein the key pair comprises a public key and a private key;
sending the private key to a user and a terminal where the policy to be merged is located;
and encrypting the combinable policy identification set by utilizing the encryption algorithm according to the public key to obtain a combinable policy identification.
Optionally, the merging and encrypting the mergeable policy identifier set by using the encryption algorithm to obtain a merged policy identifier includes:
classifying the combinable policy identifications according to the combinable policy dangerous species to obtain a plurality of dangerous species identification sets;
respectively encrypting each dangerous type identification set to obtain a plurality of combined policy sub-identifications;
and merging the plurality of merged policy sub-identifications to obtain merged policy identifications.
Optionally, the generating a merged policy according to the merged policy identifier and the mergeable policy data set includes:
determining merged policy data according to the mergeable policy data set, and setting the merged policy identification as a policy number of the merged policy;
and generating a merged policy according to the merged policy data and the policy number of the merged policy.
In order to solve the above problem, the present invention further provides a policy data merging device, including:
the system comprises a to-be-merged policy data acquisition module, a to-be-merged policy data acquisition module and a to-be-merged policy data acquisition module, wherein the to-be-merged policy data acquisition module is used for acquiring to-be-merged policy identifications of the same user and acquiring to-be-merged policy data sets according to the to-be-merged policy identifications;
a mergeable policy-keeping dangerous species type determining module, configured to screen out a mergeable policy-keeping data set in the policy data set to be merged, and determine a policy-keeping dangerous species type in the mergeable policy data set;
a single type merged policy identifier generation module, configured to determine a merged policy identifier set according to the merged policy dataset when the merged policy dataset only contains one policy risk variety, and encrypt the merged policy identifier set by using a preset encryption algorithm to obtain a merged policy identifier;
a multiple-type merged policy identifier generation module, configured to determine, according to the mergeable policy data, a mergeable policy identifier set corresponding to multiple policy risk types when the mergeable policy identifier data set includes multiple policy risk types, and merge and encrypt the mergeable policy identifier set by using the encryption algorithm to obtain a merged policy identifier;
and the merged policy generation module is used for generating the merged policy according to the merged policy identifier and the mergeable policy data set.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the policy data merging method described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is executed by a processor in an electronic device to implement the policy data merging method described above.
The embodiment of the invention obtains the policy identifier to be merged and obtains the policy data set to be merged according to the policy identifier to be merged; screening out combinable policy data sets in the policy data sets to be combined, ensuring the policy state and time consistency of the combinable policy data, simplifying the insurance application process, improving the processing efficiency of the subsequent process of the policy, and judging the dangerous species in the combinable data sets; when the mergeable policy data set only contains one policy risk variety, determining a mergeable policy identification set, and encrypting the mergeable policy identification to obtain a mergeable policy identification; when the policy insurance policy contains a plurality of policy insurance policies, determining a mergeable policy identification set, and merging and encrypting the mergeable policy identification set to obtain a merged policy identification; and generating a merged insurance policy according to the merged insurance policy identification and the mergeable insurance policy data set, reducing the insurance application processes of a plurality of insurance policies to be merged and improving the insurance application efficiency. Therefore, the policy data merging method, the policy data merging device, the electronic equipment and the computer readable storage medium can solve the problem of low multi-policy insurance application efficiency.
Drawings
Fig. 1 is a schematic flow chart of a policy data merging method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of acquiring policy data sets to be merged according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a mergeable policy identifier encryption process according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of a policy data merge device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing the policy data merging method according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the application provides a policy data merging method. The execution subject of the policy data merging method includes, but is not limited to, at least one of electronic devices such as a server and a terminal, which can be configured to execute the method provided by the embodiment of the present application. In other words, the policy data merging method may be performed by software or hardware installed in the terminal device or the server device, and the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.
Fig. 1 is a schematic flow chart of a policy data merging method according to an embodiment of the present invention. In this embodiment, the policy data merging method includes:
s1, acquiring the policy identifications to be merged of the same user, and acquiring a policy data set to be merged according to the policy identifications to be merged;
in the embodiment of the present invention, the to-be-merged policy identifier of the same user refers to a unique identifier of the to-be-merged policy of the same user, for example, the to-be-merged policy identifier may be a policy number and/or a user name of the to-be-merged policy.
Further, in this embodiment of the present invention, the policy data to be merged includes data of policy risk types, premium, insurance application time, insurance application status, and the like, where the policy risk types include: the insurance application states comprise insurance policy audit, pending payment, vehicle inspection and other insurance states.
In an embodiment of the present invention, the policy data to be merged may be one or more policy risk types, for example, the policy risk types in the policy data to be merged may be policy risk types such as "strong insurance + business insurance", "strong insurance", "single business insurance + non-vehicle (business insurance)", "strong insurance + business insurance + non-vehicle (business insurance)", and "strong insurance + non-vehicle (strong insurance) + business insurance + non-vehicle (business insurance)".
In detail, referring to fig. 2, the obtaining of the policy data to be merged according to the policy identifier to be merged includes:
s11, inquiring the policy insurance risk types and the insurance application time corresponding to the policy identifications to be merged in a preset database according to the policy identifications to be merged;
s12, determining the insurance premium of the insurance policy according to the insurance policy risk;
s13, inquiring the initial state and the operation process set of the policy to be merged, and determining the application state of the policy to be merged according to the operation process set;
and S14, collecting the insurance policy risk types, the insurance application time, the insurance premium and the insurance application state to obtain a to-be-merged insurance policy data set.
In an optional embodiment of the present invention, the operation flow set is a flow operated when the policy state corresponding to the policy identifier to be merged is changed, where the operation flow includes operation flows in the insurance application process, such as the payment state of the policy, whether the policy is approved, whether the policy is returned, and the like.
In the embodiment of the invention, the policy information to be merged is obtained through the policy identification to be merged, so that the policy data checking process can be simplified, the policy data corresponding to the user does not need to be searched in a one-to-one correspondence manner, and the efficiency of subsequent policy merging is improved.
S2, screening out combinable policy data sets in the policy data sets to be combined, and judging policy dangerous species in the combinable policy data;
in the embodiment of the invention, the combinable policy data set is the policy data with consistent application state and consistent application time in the policy data to be combined, and when the application time and the application state are consistent, the policy data to be combined is determined to be the combinable policy data set.
In detail, the screening out mergeable policy data sets in the policy data sets to be merged includes:
extracting the to-be-merged insurance policy data with consistent insurance application time and insurance application state from the to-be-merged insurance policy data to obtain mergeable insurance policy data;
merging mergeable policy data with consistent risk types in the mergeable policy information to obtain one or more mergeable policy data subsets;
and collecting the combinable policy subsets to obtain a combinable policy data set.
In the embodiment of the invention, historical policy data to be merged and new policy data to be merged of the same user are distinguished by extracting policy data to be merged with consistent insurance time and insurance state, and the insurance state in the combinable policy set is ensured to be consistent, for example, the consistency of risk types can be strong insurance, non-vehicle (strong insurance) and property insurance (strong insurance), and the non-vehicle (strong insurance) and property insurance (strong insurance) are non-forced risk types attached to the strong insurance but are the same risk type. The situation that multiple times of auditing or simultaneous payment of the historical insurance policy and the new insurance policy in the insurance application process can be prevented.
Specifically, in the embodiment of the present invention, the kind of policy risk in the mergeable policy data set may be determined according to the number of mergeable policy subsets in the mergeable policy data set, and may include one or more of insurance risk, business risk, financial risk, and the like.
S3, when the mergeable policy data set only contains one policy risk variety, determining a mergeable policy identification set according to the mergeable policy data set, and encrypting the mergeable policy identification set by using a preset encryption algorithm to obtain a mergeable policy identification;
in the embodiment of the invention, the merged policy identifier is a unique identifier obtained by the merged policy according to the set of policy identifiers to be merged through an encryption algorithm, the unique identifier is used as the merged policy identifier, and the order is determined as the merged policy according to the merged policy identifier.
In detail, the determining a mergeable policy identification set from the mergeable policy data set includes:
determining the policy identifier to be merged corresponding to the mergeable policy set according to the mergeable policy data set to obtain a mergeable policy identifier;
and collecting the combinable policy identifications to obtain a combinable policy identification set.
For example, in the embodiment of the present invention, the set of policies to be merged may include a strong insurance and a business insurance, wherein the strong insurance may be a strong insurance and a non-vehicle (strong insurance), the business insurance may be a business insurance and a non-vehicle (business insurance), the mergeable policy identifications corresponding to the mergeable policy dataset are determined as a strong insurance 0001 and a non-vehicle (strong insurance) 0002, a business insurance 1001 and a non-vehicle (business insurance) 1002 according to the mergeable policy dataset, and the mergeable policy identifications are determined as 00010002 and 10011002 based on the mergeable policy dataset.
In detail, referring to fig. 3, the encrypting the mergeable policy identifier set by using a preset encryption algorithm to obtain a merged policy identifier includes:
s31, generating a key pair according to a preset encryption algorithm, wherein the key pair comprises a public key and a private key;
s32, sending the private key to a user and a terminal where the insurance policy to be merged is located;
s33, encrypting the mergeable policy identification set by using the encryption algorithm according to the public key to obtain a mergeable policy identification.
In the embodiment of the invention, the preset encryption algorithm can be one of a symmetric encryption algorithm and an asymmetric encryption algorithm, the combinable policy identification set is encrypted through the encryption algorithm to obtain the unique identification of the combined policy, the policy can be determined to be the combined policy through the unique identification, the leakage of the information of the combined policy is prevented, the safety of the combined policy is improved, and meanwhile, the user and the terminal where the policy to be combined is located can decrypt the combined policy identification through the private key to determine the policy identification to be combined included in the combined policy identification.
Further, in the embodiment of the present invention, the terminal may be an input/output device for the terminal information to be merged, and the terminal may be capable of implementing input/output of the information such as the merged policy identifier and the mergeable policy data set.
S4, when the mergeable policy identification data set contains a plurality of policy insurance varieties, determining the mergeable policy identification sets corresponding to the policy insurance varieties according to the mergeable policy data, and merging and encrypting the mergeable policy identification sets by using the encryption algorithm to obtain a merged policy identification;
in the embodiment of the present invention, when the mergeable policy identification data includes a plurality of policy insurance categories, mergeable policy identifications corresponding to the plurality of policy categories need to be merged and encrypted to obtain a merged report identification, so that the plurality of policy insurance categories are merged.
In detail, the merging and encrypting the mergeable policy identifier set by using the encryption algorithm to obtain a merged policy identifier includes:
classifying the combinable policy identifications according to the combinable policy dangerous species to obtain a plurality of dangerous species identification sets;
respectively encrypting each dangerous type identification set to obtain a plurality of combined policy sub-identifications;
and merging the plurality of merged policy sub-identifications to obtain merged policy identifications.
Specifically, in the embodiment of the present invention, the encrypting is consistent with the step of encrypting the mergeable policy identifier set by using the preset encryption algorithm, and details are not repeated here.
And S5, generating a merged policy according to the merged policy identifier and the mergeable policy data set.
In the embodiment of the invention, the merged policy comprises the merged policy identifier and the mergeable policy data set to obtain the merged policy after data merging.
In detail, the generating a merged policy according to the merged policy identifier and the mergeable policy dataset includes:
determining merged policy data according to the mergeable policy data set, and setting the merged policy identification as a policy number of the merged policy;
and generating a merged policy according to the merged policy data and the policy number of the merged policy.
In the embodiment of the invention, the to-be-merged insurance policies with consistent insurance policy dangerous species, consistent insurance time and consistent insurance state are merged through the merged insurance policy, so that the situations of repeated auditing and cross payment of new and old insurance policies caused by simultaneous operation of new and old insurance policies and inconsistent insurance states are prevented, the insurance application process is simplified, and the insurance application efficiency is improved.
The embodiment of the invention obtains the policy identifier to be merged and obtains the policy data set to be merged according to the policy identifier to be merged; screening out combinable policy data sets in the policy data sets to be combined, ensuring the policy state and time consistency of the combinable policy data, simplifying the insurance application process, improving the processing efficiency of the subsequent process of the policy, and judging the dangerous species in the combinable data sets; when the mergeable policy data set only contains one policy risk variety, determining a mergeable policy identification set, and encrypting the mergeable policy identification to obtain a mergeable policy identification; when the policy insurance policy contains a plurality of policy insurance policies, determining a mergeable policy identification set, and merging and encrypting the mergeable policy identification set to obtain a merged policy identification; and generating a merged insurance policy according to the merged insurance policy identification and the mergeable insurance policy data set, reducing the insurance application processes of a plurality of insurance policies to be merged and improving the insurance application efficiency. Therefore, the policy data merging method provided by the invention can solve the problem of low multi-policy insurance application efficiency.
Fig. 4 is a functional block diagram of a policy data merging device according to an embodiment of the present invention.
The policy data merging device 100 of the present invention may be installed in an electronic device. According to the implemented functions, the policy data merging device 100 may include a to-be-merged policy data obtaining module 101, a mergeable policy risk species determining module 102, a single species merged policy identifier generating module 103, a multiple species merged policy identifier generating module 104, and a merged policy generating module 105. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the to-be-merged policy data acquisition module 101 is configured to acquire to-be-merged policy identifiers of the same user, and acquire a to-be-merged policy data set according to the to-be-merged policy identifiers;
the mergeable policy-keeping dangerous species type determining module 102 is configured to screen out mergeable policy-keeping data sets in the policy data sets to be merged and determine policy-keeping dangerous species types in the mergeable policy data sets;
the single type merged policy identifier generating module 103 is configured to determine a merged policy identifier set according to the merged policy data set when the merged policy data set only includes one policy risk variety, and encrypt the merged policy identifier set by using a preset encryption algorithm to obtain a merged policy identifier;
the multiple-type merged policy identifier generating module 104 is configured to, when the mergeable policy identifier data set includes multiple policy insurance varieties, determine, according to the mergeable policy data, mergeable policy identifier sets corresponding to the multiple policy insurance varieties, and merge and encrypt the mergeable policy identifier sets by using the encryption algorithm to obtain merged policy identifiers;
the merged policy generation module 105 is configured to generate a merged policy according to the merged policy identifier and the mergeable policy dataset.
In detail, in the embodiment of the present invention, when the modules in the policy data merging device 100 are used, the same technical means as the policy data merging method described in fig. 1 to 3 are adopted, and the same technical effect can be produced, which is not described herein again.
Fig. 5 is a schematic structural diagram of an electronic device implementing a policy data merging method according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program, such as a policy data merge program, stored in the memory 11 and executable on the processor 10.
In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, a combination of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (e.g., executing a policy data merge program, etc.) stored in the memory 11 and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only to store application software installed in the electronic device and various types of data, such as codes of a policy data merge program, etc., but also to temporarily store data that has been output or is to be output.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
The communication interface 13 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit, such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
Only electronic devices having components are shown, and those skilled in the art will appreciate that the structures shown in the figures do not constitute limitations on the electronic devices, and may include fewer or more components than shown, or some components in combination, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The policy data merge program stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:
acquiring to-be-merged policy identifiers of the same user, and acquiring to-be-merged policy data sets according to the to-be-merged policy identifiers;
screening out combinable policy data sets in the policy data sets to be combined, and judging policy dangerous species in the combinable policy data sets;
when the mergeable policy data set only contains one policy insurance variety, determining a mergeable policy identification set according to the mergeable policy data set, and encrypting the mergeable policy identification set by using a preset encryption algorithm to obtain a mergeable policy identification;
when the mergeable policy-keeping identification data set contains a plurality of policy-keeping risks, determining a mergeable policy-keeping identification set corresponding to the policy-keeping risks according to the mergeable policy-keeping data, and merging and encrypting the mergeable policy-keeping identification set by using the encryption algorithm to obtain a merged policy-keeping identification;
and generating a merged policy according to the merged policy identifier and the mergeable policy data set.
Specifically, the specific implementation method of the instruction by the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to the drawings, which is not described herein again.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
acquiring to-be-merged policy identifiers of the same user, and acquiring to-be-merged policy data sets according to the to-be-merged policy identifiers;
screening out combinable policy data sets in the policy data sets to be combined, and judging policy dangerous species in the combinable policy data sets;
when the mergeable policy data set only contains one policy insurance variety, determining a mergeable policy identification set according to the mergeable policy data set, and encrypting the mergeable policy identification set by using a preset encryption algorithm to obtain a mergeable policy identification;
when the mergeable policy-keeping identification data set contains a plurality of policy-keeping risks, determining a mergeable policy-keeping identification set corresponding to the policy-keeping risks according to the mergeable policy-keeping data, and merging and encrypting the mergeable policy-keeping identification set by using the encryption algorithm to obtain a merged policy-keeping identification;
and generating a merged policy according to the merged policy identifier and the mergeable policy data set.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A policy data merging method, the method comprising:
acquiring to-be-merged policy identifiers of the same user, and acquiring to-be-merged policy data sets according to the to-be-merged policy identifiers;
screening out combinable policy data sets in the policy data sets to be combined, and judging policy dangerous species in the combinable policy data sets;
when the mergeable policy data set only contains one policy insurance variety, determining a mergeable policy identification set according to the mergeable policy data set, and encrypting the mergeable policy identification set by using a preset encryption algorithm to obtain a mergeable policy identification;
when the mergeable policy-keeping identification data set contains a plurality of policy-keeping risks, determining a mergeable policy-keeping identification set corresponding to the policy-keeping risks according to the mergeable policy-keeping data, and merging and encrypting the mergeable policy-keeping identification set by using the encryption algorithm to obtain a merged policy-keeping identification;
and generating a merged policy according to the merged policy identifier and the mergeable policy data set.
2. The policy data merging method according to claim 1, wherein the obtaining policy data to be merged according to the policy identification to be merged comprises:
inquiring the policy insurance risk types and the insurance application time corresponding to the policy identifications to be merged in a preset database according to the policy identifications to be merged;
determining a policy and a premium according to the policy risk species;
inquiring the initial state and the operation process set of the insurance policy to be merged, and determining the application state of the insurance policy to be merged according to the operation process set;
and collecting the insurance policy risk species, the insurance time, the insurance policy premium and the insurance state to obtain an insurance policy data set to be merged.
3. The policy data merging method according to claim 1, wherein said screening out mergeable policy data sets from said to-be-merged policy data sets comprises:
extracting the to-be-merged insurance policy data with consistent insurance application time and insurance application state from the to-be-merged insurance policy data to obtain mergeable insurance policy data;
merging mergeable policy data with consistent risk types in the mergeable policy information to obtain one or more mergeable policy data subsets;
and collecting the combinable policy subsets to obtain a combinable policy data set.
4. The policy data consolidation method according to claim 1, wherein said determining a mergeable policy identification set from said mergeable policy data set comprises:
determining the policy identifier to be merged corresponding to the mergeable policy set according to the mergeable policy data set to obtain a mergeable policy identifier;
and collecting the combinable policy identifications to obtain a combinable policy identification set.
5. The policy data merging method according to claim 1, wherein said encrypting the mergeable policy identification set using a predetermined encryption algorithm to obtain a merged policy identification comprises:
generating a key pair according to a preset encryption algorithm, wherein the key pair comprises a public key and a private key;
sending the private key to a user and a terminal where the policy to be merged is located;
and encrypting the combinable policy identification set by utilizing the encryption algorithm according to the public key to obtain a combinable policy identification.
6. The policy data merging method according to claim 1, wherein said merging and encrypting said set of mergeable policy identifications using said encryption algorithm to obtain a merged policy identification comprises:
classifying the combinable policy identifications according to the combinable policy dangerous species to obtain a plurality of dangerous species identification sets;
respectively encrypting each dangerous type identification set to obtain a plurality of combined policy sub-identifications;
and merging the plurality of merged policy sub-identifications to obtain merged policy identifications.
7. The policy data merging method according to claim 1, wherein said generating a merged policy from said merged policy identification and said mergeable policy data set comprises:
determining merged policy data according to the mergeable policy data set, and setting the merged policy identification as a policy number of the merged policy;
and generating a combined policy according to the combined policy data and the policy number of the combined policy.
8. A policy data merge device, the device comprising:
the system comprises a to-be-merged policy data acquisition module, a to-be-merged policy data acquisition module and a to-be-merged policy data acquisition module, wherein the to-be-merged policy data acquisition module is used for acquiring to-be-merged policy identifications of the same user and acquiring to-be-merged policy data sets according to the to-be-merged policy identifications;
a mergeable policy-keeping dangerous species type determining module, configured to screen out a mergeable policy-keeping data set in the policy data set to be merged, and determine a policy-keeping dangerous species type in the mergeable policy data set;
a single type merged policy identifier generation module, configured to determine a merged policy identifier set according to the merged policy dataset when the merged policy dataset only contains one policy risk variety, and encrypt the merged policy identifier set by using a preset encryption algorithm to obtain a merged policy identifier;
a multiple-type merged policy identifier generation module, configured to determine, according to the mergeable policy data, a mergeable policy identifier set corresponding to multiple policy risk types when the mergeable policy identifier data set includes multiple policy risk types, and merge and encrypt the mergeable policy identifier set by using the encryption algorithm to obtain a merged policy identifier;
and the merged policy generation module is used for generating the merged policy according to the merged policy identifier and the mergeable policy data set.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the policy data merge method of any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out a policy data merging method according to any one of claims 1 to 7.
CN202210542647.1A 2022-05-18 2022-05-18 Policy data merging method, device, equipment and storage medium Pending CN114897624A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116980890A (en) * 2023-09-20 2023-10-31 北京集度科技有限公司 Information security communication device, method, vehicle and computer program product

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116980890A (en) * 2023-09-20 2023-10-31 北京集度科技有限公司 Information security communication device, method, vehicle and computer program product
CN116980890B (en) * 2023-09-20 2023-12-22 北京集度科技有限公司 Information security communication device, method, vehicle and computer program product

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