WO2020103567A1 - 一种数据处理方法、装置和计算机设备 - Google Patents

一种数据处理方法、装置和计算机设备

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Publication number
WO2020103567A1
WO2020103567A1 PCT/CN2019/107229 CN2019107229W WO2020103567A1 WO 2020103567 A1 WO2020103567 A1 WO 2020103567A1 CN 2019107229 W CN2019107229 W CN 2019107229W WO 2020103567 A1 WO2020103567 A1 WO 2020103567A1
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WO
WIPO (PCT)
Prior art keywords
data
calculation
terminal
node
business event
Prior art date
Application number
PCT/CN2019/107229
Other languages
English (en)
French (fr)
Inventor
李海龙
张振宇
杨雪清
Original Assignee
阿里巴巴集团控股有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 阿里巴巴集团控股有限公司 filed Critical 阿里巴巴集团控股有限公司
Priority to EP19887186.5A priority Critical patent/EP3816810A4/en
Priority to SG11202100769SA priority patent/SG11202100769SA/en
Publication of WO2020103567A1 publication Critical patent/WO2020103567A1/zh
Priority to US17/162,251 priority patent/US11354176B2/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G06F9/542—Event management; Broadcasting; Multicasting; Notifications
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2282—Tablespace storage structures; Management thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/602—Providing cryptographic facilities or services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428—Network 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

Definitions

  • This specification relates to the technical field of data processing, and in particular, to a data processing method, device, and computer equipment.
  • the insured person In the current commercial insurance claim process, the insured person must bring all the declarations and business event data on which the insurance claim is based (such as medical records, patient cases, etc.) to the insurance company to submit an application, or take a photo manually through the insurance company APP The information is uploaded to the claim platform and the claim application is initiated.
  • the entire process is inefficient and the procedure is cumbersome, and it takes many days to obtain the claim. Paper documents are difficult to keep and easy to lose, and when reimbursement is required at multiple insurance institutions, the process is more cumbersome.
  • the insured Because the insured provides the relevant medical materials, there is the possibility of forging materials, which not only increases the difficulty of reviewing the claims materials, but also brings a certain risk of fraud.
  • one or more embodiments of this specification provide a data processing method, apparatus, and computer equipment.
  • a data processing method is proposed, which is applied to a data processing system including a first data terminal, a second data terminal, and a data computing node; The first data terminal and the second data terminal are communicatively connected; the data computing node is deployed with at least one data computing logic; the method includes:
  • the data calculation node receives a data calculation call application sent by the second data terminal, where the data calculation call application includes a query index for target business event data;
  • a data processing method is proposed, which is applied to a data processing system including a first data terminal, a second data terminal, and a data calculation node; The first data terminal and the second data terminal are communicatively connected; the data computing node is deployed with at least one data computing logic; the method includes:
  • the second data terminal sends a data calculation call application to the data calculation node, where the data calculation call application includes a query index for target business event data;
  • the calculation result is obtained by the data calculation node running the data calculation logic and performing data calculation based on target business event data; wherein, the target business event data is Obtained by the data computing node from the first data terminal based on the query index.
  • a data processing device which is applied to a data processing system including a first data terminal, a second data terminal, and a data computing node; The first data terminal and the second data terminal are communicatively connected; the data calculation node is deployed with at least one data calculation logic; the device includes:
  • a receiving unit receiving a data calculation calling application sent by the second data terminal, where the data calculation calling application includes a query index for target business event data;
  • An obtaining unit based on the query index, obtaining target business event data from the first data terminal;
  • the calculation unit runs the data calculation logic corresponding to the application of data calculation and calls, and performs data calculation based on the target business event data to obtain calculation results;
  • the sending unit sends the calculation result to the second data terminal.
  • a data processing device which is applied to a data processing system including a first data terminal, a second data terminal, and a data computing node; The first data terminal and the second data terminal are communicatively connected; the data calculation node is deployed with at least one data calculation logic; the device includes:
  • the sending unit sends a data calculation call application to the data calculation node, where the data calculation call application includes a query index for target business event data;
  • the receiving unit receives the calculation result sent by the data calculation node, the calculation result is obtained by the data calculation node running the data calculation logic and performing data calculation based on target business event data; wherein, the target business Event data is acquired by the data computing node from the first data terminal based on the query index.
  • a computer device including: a memory and a processor; a computer program executable by the processor is stored on the memory; the processor runs the computer When the program is executed, the steps described in the data processing method performed by the data computing node described above are executed.
  • a computer device including: a memory and a processor; a computer program executable by the processor is stored on the memory; the processor runs the computer When the program is executed, the steps described in the data processing method executed by the second data terminal described above are executed.
  • FIG. 1 is a flowchart of a data processing method performed by a data computing node shown in an embodiment provided by this specification;
  • FIG. 2 is a flowchart of an insurance claim method executed by a claim calculation node shown in an embodiment provided by this specification;
  • FIG. 3 is a flowchart of a data processing method performed by a second data terminal shown in an embodiment provided by this specification;
  • FIG. 4 is a schematic diagram of an insurance claim device according to an embodiment provided by this specification.
  • FIG. 5 is a schematic diagram of an insurance claim device according to an embodiment provided by this specification.
  • FIG. 6 is a hardware structure diagram of an embodiment of a claims settlement device based on blockchain provided in this specification.
  • the steps of the corresponding method are not necessarily performed in the order shown and described in this specification.
  • the method may include more or fewer steps than described in this specification.
  • the single step described in this specification may be decomposed into multiple steps for description in other embodiments; and the multiple steps described in this specification may also be combined into a single step in other embodiments. description.
  • FIG. 1 is a flowchart of a data processing method performed by a data computing node shown in an embodiment provided by this specification.
  • the above data processing method is applied to a data processing system including a first data terminal, a second data terminal, and a data computing node; the data computing node is communicatively connected to the first data terminal and the second data terminal, respectively; The data computing node is deployed with at least one data computing logic.
  • the data computing node described in this embodiment is deployed with at least one type of data computing logic.
  • the data computing node may be either a data computing function module belonging to the first data terminal or the second data terminal, or may be independent of all
  • the data computing terminal devices of the first data terminal and the second data terminal are not limited in this specification.
  • the above data computing node is respectively communicatively connected to the first data terminal and the second data terminal, and the connection includes but is not limited to a local connection, an external connection, and the like.
  • the data computing node and the first data terminal are connected by the local communication method
  • the data computing node and the second data terminal are connected by the external communication method
  • the data calculation node is configured locally in the form of a data calculation function module or a data calculation terminal device.
  • the above local communication methods include but are not limited to wired connection communication, data bus connection communication in the terminal, dedicated bus connection communication, and local area network communication; the above external communication methods include but are not limited to external network communication and the like.
  • the management organization of the first data terminal can monitor or obtain the output data of the data computing node to prevent the data computing node from unauthorized business event data obtained by the data computing node
  • the transmission of data effectively guarantees the safety of the use of business event data and prevents business event data from being acquired by other terminals, which may cause data security risks.
  • the data calculation logic in the data calculation node may be deployed by the second data terminal according to service requirements.
  • the data computing node When the data computing node is locally configured on the first data terminal for data logic calculation due to service requirements, if the data computing node is a removable hardware terminal independent of the first data terminal and the second data terminal, it may be Deploying the data calculation logic in the data calculation node locally by the second data terminal, and moving the data calculation node to the locality of the first data terminal after the deployment is completed, and using the local communication method with the first data terminal To connect; the second data terminal may also transmit the data calculation logic to the data calculation node through external communication for deployment and installation.
  • the second data terminal generally transmits the data computing logic to the data computing node through external communication for deployment and installation.
  • the second data terminal may often increase the type of data calculation logic, or update or modify the existing data calculation logic every set time, those skilled in the art are familiar with this, compared to local configuration on the second data terminal.
  • the data processing method includes:
  • Step 102 The data calculation node receives a data calculation call application sent by the second data terminal, where the data calculation call application includes a query index for target business event data.
  • the above data calculation call application when the data calculation node is deployed with multiple data calculation logics, the above data calculation call application further includes corresponding to at least one of the multiple data calculation logics Logical identification to facilitate the data calculation node to select the corresponding data calculation logic for calculation.
  • Step 104 Obtain target business event data from the first data terminal based on the query index.
  • the data computing node may obtain the target business event data from the first data terminal in various ways. For example, the data computing node may send the query index for the target business event data included in the data calculation invocation application to the first A data terminal, and directly obtain target event data from the first data terminal.
  • the first data terminal may authorize data to the second data terminal, which will be authorized based on the local communication method.
  • the business event data set is transmitted to the data computing node, so that the data computing node can quickly obtain the target business event data from the authorized business event data set during data calculation.
  • Specific authorization rules for business event data may be specifically set according to the agreement between the first data terminal and the second data terminal.
  • the data authorization of the first data terminal to the second data terminal may be implemented in the form of sending a data index table corresponding to the authorized service event data to the data computing node.
  • the data calculation node retrieves the query index of the target business event data included in the data calculation call request based on the data calculation call in the authorized business event data index table, if it can be found in the data index table Search to find the query index or the data object pointed to by the query index, it means that the target business event data is the business event data authorized by the first data terminal, then the data computing node then based on the query index, from the first data Acquiring the target business event data from the authorized business event data set stored in the terminal.
  • the implementation manner of the data computing node provided in this embodiment to obtain target business event data from the first data terminal eliminates the storage capacity requirement required by the data computing node to store authorized business event data, and makes the first data The terminal has more flexible operability for business event data.
  • Step 106 Run the data calculation call data calculation logic corresponding to the application, and perform data calculation based on the target business event data to obtain a calculation result.
  • the data calculation is based on the Encrypted calculation performed by target business event data and encrypted data calculation logic; accordingly, the calculation result is the calculation result of the encrypted state.
  • the data calculation node is locally deployed on the first data terminal, the first data terminal cannot decrypt the above data calculation logic or the calculation result of the above data calculation, thereby ensuring the first data terminal ’s
  • the security of business event data ensures the privacy and security of the data calculation process.
  • Step 108 Send the calculation result to the second data terminal.
  • the data calculation logic run by the data calculation node is encrypted and transmitted to the data calculation node by the second data terminal through external communication for encrypted deployment.
  • the calculation result is The calculation result of the encryption state obtained by the encryption calculation based on the target business event data and the encrypted data calculation logic. After obtaining the calculation result of the encrypted state, the second data terminal may decrypt the calculation result.
  • the above data calculation node is a claims calculation node
  • the above first data terminal is a business data party terminal
  • the above second data terminal is a claims server terminal
  • the above calculation logic is a claim calculation logic
  • the above data calculation call application is a claim calculation call application
  • the above calculation result is a claim result.
  • FIG. 2 is a flowchart of an insurance claim method performed by a claim calculation node provided by an exemplary embodiment, which is applied to an insurance claim system including a business data party terminal, a claim server terminal, and a claim calculation node; the claim calculation node It is respectively connected to the business data side terminal and the claim service terminal; the claim calculation node is equipped with claim calculation logic.
  • the claim service terminal described in this embodiment is a terminal device that can interact with the user for claim service, receive the user's claim application, and provide the user with the claim result, and may include servers of independent insurance companies, or multiple A server corresponding to the settlement service platform organization set up uniformly by the insurance company.
  • the business data party terminal described in this embodiment may be a terminal device that stores business event data based on claims.
  • the corresponding business data terminal is a terminal device that stores the user ’s medical event data, such as a general hospital, specialty clinic, and personalized medical services (such as genetic testing, (Physical Examination) Data servers of companies and other institutions;
  • the corresponding business event data terminal is a terminal device that stores records of vehicle maintenance, beauty, and modification.
  • the claim calculation node described in this embodiment is equipped with claim calculation logic.
  • the claim calculation node may be either a claim calculation function module belonging to the claim service terminal or a business data party terminal, or may be independent of the claim service
  • the claims computing terminal device of the party terminal and the business data party terminal is not limited in this specification.
  • the above-mentioned claim calculation node is respectively communicatively connected to the business data side terminal and the claim service terminal, and the connection includes but is not limited to a local connection, an external connection, and the like.
  • the claims calculation node and the business data terminal are connected by the local communication method, and the claims calculation node and the claims service terminal are connected by an external communication method, that is, the claims
  • the calculation node is configured in the form of a settlement calculation function module or a settlement calculation terminal device locally at the terminal of the business data party.
  • the above local communication methods include but are not limited to wired connection communication, data bus connection communication in the terminal, dedicated bus connection communication, and local area network communication; the above external communication methods include but are not limited to external network communication and the like.
  • the management organization of the business data party terminal can monitor or obtain the output data of the above claim computing node to prevent the claim computing node from unauthorized business event data obtained
  • the transmission of data effectively guarantees the safety of the use of business event data, and prevents business event data from being acquired by the claims service terminal and may cause data security risks.
  • the claims calculation logic deployed in the claims calculation node is usually based on the claims rules stipulated in the insurance product contract purchased by the user or the user as the beneficiary. Therefore, the above claims calculation logic is usually formulated or deployed by an insurance claims service agency. Terminal equipment, or the claims server terminal described in this embodiment.
  • the claim calculation node When the claim calculation node needs to be locally configured on the business data party terminal to perform claim logic calculation, if the claim calculation node is a mobile hardware terminal independent of the business data party terminal and the claim service terminal, the above The claims service terminal is deployed locally in the insurance claims service organization (and the above claims service terminal) according to the user's corresponding insurance claim rules. The claim calculation logic in the above claim calculation node is deployed, and after the deployment is completed, the above claim calculation node is moved To the locality of the business data party terminal, connect to the business data party terminal in the local communication mode; the claim service terminal may also transmit the claim calculation logic to the claims calculation node through external communication for deployment installation.
  • the claim service terminal generally transmits the claim calculation logic to the claim calculation node through external communication for deployment and installation.
  • Claims service providers can usually provide claims services of many different categories and levels based on insurance products of different categories and insurance levels. Claims service providers may often increase the types of claims calculation logic, The claim calculation logic is updated or modified, and it is well known to those skilled in the art that, compared with the way of configuring the claim calculation logic locally on the claim service terminal and moving the above claim calculation node, it is transmitted in the above claim calculation node through external communication By deploying claim calculation logic, you can flexibly configure, add, or update claim calculation logic.
  • the above claim calculation logic generated according to the insurance claim rules corresponding to the user is usually related to the business secret or business secret of the insurance claim service provider
  • the above claim calculation logic can also be encrypted and transmitted by the claim service provider terminal through the above-mentioned external communication method Encrypted deployment to the claim calculation node; even if the claim calculation node is located locally in the terminal of the above-mentioned business data party, the business data party cannot obtain confidential content such as the specific rule settings of the above-mentioned claim calculation logic, thereby protecting the insurance claimant ’s business secret.
  • the insurance claim method performed by the claim calculation node described in this embodiment includes:
  • Step 202 The claim calculation node receives a claim calculation call application sent by the claim service terminal, and the claim calculation call application includes a query index on target business event data.
  • the terminal of the claim service server described in this embodiment can obtain the user's claim application by interacting with the user. Since the claim service method provided in this embodiment does not require the user to provide the business event data on which the claim is based, the claim calculation call application generated based on the user's claim application may include a query index to obtain target business event data, which is the user
  • the business event data based on the claim for example, the above target business event data is the medical record data of user Zhang San at Hospital A on November 20, 2018, then the above claim calculation calls the query index included in the application for the target business event data Zhang San's medical identification information (name or ID card number or medical card number) and date of medical treatment, etc.
  • the specific form and content of the above query index can be specifically set according to the way in which the claims calculation node or the business data terminal stores the business event data, and it is not limited in this specification.
  • the claim calculation calling application described in this embodiment may be generated based on the above-mentioned user claim application, or may be directly generated by the above-mentioned claim service terminal, which is not limited in this specification.
  • the above claim calculation calling application when the claim calculation node is deployed with multiple claim calculation logics, the above claim calculation calling application further includes corresponding to at least one claim calculation logic among the multiple claim calculation logics Logical identification to facilitate the claim calculation node to select the corresponding claim calculation logic for calculation.
  • Step 204 Acquire target business event data from the business data party terminal based on the query index.
  • the claim calculation node may send the query index of the target business event data included in the claim calculation call application to the service
  • the data-side terminal directly obtains target event data from the above-mentioned business data-side terminal.
  • the above-mentioned business data party terminal may authorize data to the claim settlement service party, based on the above-mentioned local communication method, the authorized business
  • the event data set is transmitted to the above-mentioned claim calculation node, so that the claim calculation node can quickly obtain the target business event data from the authorized business event data set during the claim calculation.
  • the specific authorization rules for business event data can be specifically set according to the agreement between the business data party and the claims service party.
  • the claims service party terminal can send the list of insured users to the business data party.
  • the business data party terminal is based on The above-mentioned insured user list collates the business event data set corresponding to the insured user.
  • the above data terminal of the business data party can perform data authorization to the claims service party by sending a data index table corresponding to the authorized business event data to the claims calculation node.
  • the claims calculation node After receiving the above claims calculation instruction, the claims calculation node searches on the authorized business event data index table based on the query index of the target business event data included in the above claims calculation instruction, if it can be searched in the above data index table Querying the query index or the data object pointed to by the query index indicates that the target business event data is the business event data authorized by the business data party terminal, and then the claim settlement service provider stores the business data party terminal based on the query index Obtain the target business event data from the authorized business event data collection.
  • the above-mentioned claim calculation node provided in this embodiment implements the method for acquiring target business event data from the above-mentioned business data party terminal, eliminating the storage capacity requirement required by the claim calculation node to store authorized business event data, and making the business data party
  • the terminal has more flexible operability for business event data.
  • Step 206 Run the claim calculation logic to perform claim calculation based on the target business event data to obtain a claim result.
  • the claims calculation is based on the claims calculation Encrypted calculation performed by target business event data and encrypted claim calculation logic; accordingly, the claim result is an encrypted claim result.
  • the claims calculation node is locally deployed on the business data side terminal, the business data side terminal cannot decrypt the above claims calculation logic or the claims result of the above claims calculation, thus ensuring the business data side terminal ’s
  • the security of business event data also guarantees the privacy and security of the claims calculation process.
  • the claim calculation invocation application when the claim calculation node is deployed with multiple claim calculation logics, as described in an embodiment above, the claim calculation invocation application also includes At least one logic identification corresponding to the claim calculation logic; accordingly, running the claim calculation logic above to perform claim calculation based on the target business event data to obtain a claim result includes: acquiring the claim calculation based on the logic identification Invoking at least one claim calculation logic corresponding to the application; running the at least one claim calculation logic and performing claim calculation based on the target business event data to obtain at least one claim calculation result.
  • the above-mentioned embodiment is particularly applicable to the scenario where the same user insures multiple insurance products, and the multiple insurances can make claims based on the same target business event data; the claim calculation logic corresponding to the above-mentioned multiple insurance products can be served by the same claim It can also be deployed by different claims service terminal, which is not limited in this specification.
  • Step 208 Send the settlement result to the settlement service terminal.
  • the above claim calculation node After running the claim calculation logic corresponding to the claim calculation call application, the above claim calculation node sends the obtained claim result to the above claim service terminal.
  • the claims calculation node is located locally on the business data party terminal, and the claims calculation node and the claims server terminal are connected through external communication to remotely transmit the claims result to The above claims service terminal.
  • the claims calculation logic run by the claims calculation node is encrypted and transmitted to the claims calculation node by the claims server terminal through external communication for encrypted deployment.
  • the claims result is The settlement result of the encrypted state obtained by the encryption calculation based on the target business event data and the encrypted claim calculation logic.
  • the above claim service party may decrypt the claim result, and send the decrypted claim result to the device terminal on the user side.
  • the claims result described in the above embodiments may include a notice of specific execution contents of the claim plan (including whether to claim claims, the amount of claims, the payment period of claims, etc.), or a payment instruction to pay claims directly to the user.
  • the settlement service terminal can send the notice of the specific execution content of the settlement plan to the user terminal device terminal, or directly transfer the compensation to the account of the user (or other insurance settlement beneficiary) .
  • this specification also provides a data processing method performed by the second data terminal, which is applied to a data processing system including a first data terminal, a second data terminal, and a data computing node; The first data terminal and the second data terminal are communicatively connected; the data computing node is deployed with at least one data computing logic; the method shown in FIG. 3 includes:
  • Step 302 The second data terminal sends a data calculation call application to the data calculation node, where the data calculation call application includes a query index for target business event data;
  • Step 304 Receive a calculation result sent by the data calculation node.
  • the calculation result is obtained by the data calculation node running the data calculation logic and performing data calculation based on target business event data; wherein, the target service Event data is acquired by the data computing node from the first data terminal based on the query index.
  • the data computing node and the first data terminal are connected by local communication, and the data computing node and the second data terminal are connected by external communication.
  • the data calculation logic is transmitted by the second data terminal to the data calculation node through the external communication method for deployment.
  • the data calculation logic is encrypted and transmitted by the second data terminal to the data calculation node through the external communication method for encrypted deployment; the calculation result is the data calculation node Run the encrypted data calculation logic to calculate the encrypted state based on the target business event data.
  • the data calculation node is deployed with multiple data calculation logics; the data calculation invocation application further includes logic corresponding to at least one of the multiple data calculation logics Logo.
  • the above data processing method is an insurance claims data processing method
  • the above data calculation node is a claims calculation node
  • the above first data terminal is a business data party terminal
  • the above second data terminal It is the terminal of the settlement service party
  • the above calculation logic is the settlement calculation logic
  • the above data calculation calling application is the settlement calculation calling application
  • the above calculation result is the settlement result.
  • each terminal involved in the data processing method performed by the second data terminal or the claims server terminal described in the foregoing embodiments are the same as the data computing nodes or the data computing nodes described in the above one or more embodiments provided in this specification.
  • the functions and functions of the terminals involved in the data processing method performed by the claims calculation node are similar, and will not be repeated here.
  • the embodiments of the present specification also provide a data processing device.
  • the device can be implemented by software, or by hardware or a combination of hardware and software.
  • software implementation as an example, as a logical device, it is formed by reading the corresponding computer program instructions into the memory through the CPU (Central Processing Unit) of the device where it is located.
  • CPU Central Processing Unit
  • the device where the network risk service implementation device is located usually also includes other hardware such as chips for wireless signal transmission and reception, and / or for implementation Network communication function boards and other hardware.
  • FIG. 4 shows a data processing device 40, which is applied to a data processing system including a first data terminal, a second data terminal, and a data computing node; the data computing node is connected to the first data terminal and the first Two data terminal communication connections; the data computing node is deployed with at least one data computing logic; the device 40 includes:
  • the receiving unit 402 receives a data calculation calling application sent by the second data terminal, where the data calculation calling application includes a query index for target business event data;
  • the obtaining unit 404 obtains target business event data from the first data terminal based on the query index
  • the calculation unit 406 runs the data calculation logic corresponding to the data calculation call application, and performs data calculation based on the target business event data to obtain calculation results;
  • the sending unit 408 sends the calculation result to the second data terminal.
  • the data computing node and the first data terminal are connected by local communication, and the data computing node and the second data terminal are connected by external communication.
  • the data calculation logic is transmitted by the second data terminal to the data calculation node through the external communication method for deployment.
  • the data calculation logic is encrypted and transmitted by the second data terminal to the data calculation node through the external communication method for encrypted deployment;
  • the calculation unit 406 calculates the calculation unit 406:
  • the data calculation calling application further includes a logic identifier corresponding to the at least one data calculation logic.
  • the data computing node stores a set of business event data authorized by the first data terminal; the set of business event data is based on the local communication method by the first data terminal Transmission to the data computing node;
  • the obtaining unit 404 The obtaining unit 404:
  • the target business event data is obtained from the business event data set stored by the data computing node.
  • the data computing node stores a data index table corresponding to the business event data set authorized by the first data terminal;
  • the obtaining unit 404 The obtaining unit 404:
  • the data processing device is an insurance claims data processing device;
  • the data calculation node is a claims calculation node, the first data terminal is a business data party terminal, and the second data terminal It is the terminal of the settlement service party;
  • the calculation logic is the settlement calculation logic;
  • the data calculation calling application is the settlement calculation calling application; and
  • the calculation result is the settlement result.
  • this specification also provides a data processing device 50, which is applied to a data processing system including a first data terminal, a second data terminal, and a data computing node; the data computing node and the first data respectively The terminal is in communication connection with the second data terminal; the data computing node is deployed with at least one data computing logic; the device includes:
  • the sending unit 502 sends a data calculation call application to the data calculation node, where the data calculation call application includes a query index for target business event data;
  • the receiving unit 504 receives the calculation result sent by the data calculation node, the calculation result is obtained by the data calculation node running the data calculation logic and performing data calculation based on target business event data; wherein, the target The business event data is acquired by the data computing node from the first data terminal based on the query index.
  • the data computing node and the first data terminal are connected by local communication, and the data computing node and the second data terminal are connected by external communication.
  • the data calculation logic is transmitted by the second data terminal to the data calculation node through the external communication method for deployment.
  • the data calculation logic is encrypted and transmitted by the second data terminal to the data calculation node through the external communication method for encrypted deployment;
  • the calculation result is a calculation result of an encrypted state obtained by the data calculation node running encrypted data calculation logic and performing data calculation based on target business event data.
  • the data calculation node is deployed with multiple data calculation logics; the data calculation invocation application further includes logic corresponding to at least one of the multiple data calculation logics Logo.
  • the data processing method is an insurance claims data processing method
  • the data calculation node is a claims calculation node
  • the first data terminal is a business data party terminal
  • the second data terminal It is the terminal of the settlement service party
  • the calculation logic is the settlement calculation logic
  • the data calculation calling application is the settlement calculation calling application
  • the calculation result is the settlement result.
  • the device embodiments described above are only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical modules, that is, may be located One place, or can be distributed to multiple network modules. Some or all of the units or modules may be selected according to actual needs to achieve the objectives of the solutions in this specification. Those of ordinary skill in the art can understand and implement without paying creative labor.
  • a typical implementation device is a computer, and the specific form of the computer may be a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email sending and receiving device, and a game control Desk, tablet computer, wearable device, or any combination of these devices.
  • the embodiments of the present specification also provide a computer device, which includes a memory and a processor.
  • the memory stores a computer program that can be executed by the processor; when the processor runs the stored computer program, each step of the data processing method executed by the data computing node in the embodiment of the present specification is executed.
  • each step of the data processing method performed by the data computing node please refer to the previous content and will not be repeated.
  • the embodiments of the present specification also provide a computer device, and the computer device includes a memory and a processor.
  • the memory stores a computer program that can be executed by the processor; when the processor runs the stored computer program, each step of the data processing method executed by the second data terminal in the embodiment of the present specification is executed.
  • each step of the data processing method performed by the second data terminal please refer to the previous content, and will not be repeated.
  • the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.
  • processors CPUs
  • input / output interfaces output interfaces
  • network interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-permanent memory, random access memory (RAM) and / or non-volatile memory in computer-readable media, such as read only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
  • RAM random access memory
  • ROM read only memory
  • flash RAM flash memory
  • Computer-readable media including permanent and non-permanent, removable and non-removable media, can store information by any method or technology.
  • the information may be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, read-only compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, Magnetic tape cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices. As defined in this article, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.
  • PRAM phase change memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • RAM random access memory
  • ROM read-only memory
  • EEPROM electrically erasable programmable read-only memory
  • flash memory or other memory technologies
  • CD-ROM compact disc read-only memory
  • DVD digital versatile disc
  • the embodiments of the present specification may be provided as methods, systems, or computer program products. Therefore, the embodiments of the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of this specification may take the form of computer program products implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code .
  • computer usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.

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Abstract

一种数据处理方法和装置，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述方法包括：所述数据计算节点接收所述第二数据终端发送的数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引（步骤102）；基于所述查询索引，从所述第一数据终端获取目标业务事件数据（步骤104）；运行所述数据计算调用申请对应的数据计算逻辑，基于所述目标业务事件数据进行数据计算以获得计算结果（步骤106）；将所述计算结果发送至所述第二数据终端（步骤108）。

Description

一种数据处理方法、装置和计算机设备 技术领域
本说明书涉及数据处理技术领域，尤其涉及一种数据处理方法、装置和计算机设备。
背景技术
在目前的商业保险理赔过程中，参保人必须带齐所有报单、保险理赔所依据的业务事件数据(如医疗收录、病人病例等)到保险公司提交申请，或者手工拍照后通过保险公司APP将资料上传给理赔平台并发起理赔申请，整个过程效率低、程序繁琐，需要等待多天才能获得理赔。纸质单据难保管，易丢失，而且当需要在多家保险机构报销时，过程更加繁琐。同时，对于保险公司，由于参保人自己提供相关就诊材料，存在伪造材料的可能性，不仅加大了对理赔材料审核的难度，也带来了一定的骗保风险。
发明内容
有鉴于此，本说明书一个或多个实施例提供一种数据处理方法、装置和计算机设备。
为实现上述目的，本说明书一个或多个实施例提供技术方案如下：
根据本说明书一个或多个实施例的第一方面，提出了一种数据处理方法，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述方法包括：
所述数据计算节点接收所述第二数据终端发送的数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
基于所述查询索引，从所述第一数据终端获取目标业务事件数据；
运行所述数据计算调用申请对应的数据计算逻辑，基于所述目标业务事件数据进行数据计算以获得计算结果；
将所述计算结果发送至所述第二数据终端。
根据本说明书一个或多个实施例的第二方面，提出了一种数据处理方法，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分 别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述方法包括：
所述第二数据终端向所述数据计算节点发送数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
接收所述数据计算节点发送的计算结果，所述计算结果是由所述数据计算节点运行所述数据计算逻辑，基于目标业务事件数据进行数据计算而获得的；其中，所述目标业务事件数据是由所述数据计算节点基于所述查询索引，从所述第一数据终端获取的。
根据本说明书一个或多个实施例的第三方面，提出了一种数据处理装置，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述装置包括：
接收单元，接收所述第二数据终端发送的数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
获取单元，基于所述查询索引，从所述第一数据终端获取目标业务事件数据；
计算单元，运行所述数据计算调用申请对应的数据计算逻辑，基于所述目标业务事件数据进行数据计算以获得计算结果；
发送单元，将所述计算结果发送至所述第二数据终端。
根据本说明书一个或多个实施例的第四方面，提出了一种数据处理装置，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述装置包括：
发送单元，向所述数据计算节点发送数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
接收单元，接收所述数据计算节点发送的计算结果，所述计算结果是由所述数据计算节点运行所述数据计算逻辑，基于目标业务事件数据进行数据计算而获得的；其中，所述目标业务事件数据是由所述数据计算节点基于所述查询索引，从所述第一数据终端获取的。
根据本说明书一个或多个实施例的第五方面，提出了一种计算机设备，包括：存储 器和处理器；所述存储器上存储有可由处理器运行的计算机程序；所述处理器运行所述计算机程序时，执行上述数据计算节点执行的数据处理方法所述的步骤。
根据本说明书一个或多个实施例的第六方面，提出了一种计算机设备，包括：存储器和处理器；所述存储器上存储有可由处理器运行的计算机程序；所述处理器运行所述计算机程序时，执行上述第二数据终端执行的数据处理方法所述的步骤。
附图说明
图1为本说明书所提供的一实施例所示的数据计算节点执行的数据处理方法的流程图；
图2为本说明书所提供的一实施例所示的理赔计算节点执行的保险理赔方法的流程图；
图3为本说明书所提供的一实施例所示的第二数据终端执行的数据处理方法的流程图；
图4为本说明书所提供的一实施例所示的保险理赔装置的示意图；
图5为本说明书所提供的一实施例所示的保险理赔装置的示意图；
图6为运行本说明书所提供的基于区块链的理赔装置实施例的一种硬件结构图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施例并不代表与本说明书一个或多个实施例相一致的所有实施例。相反，它们仅是与如所附权利要求书中所详述的、本说明书一个或多个实施例的一些方面相一致的装置和方法的例子。
需要说明的是：在其他实施例中并不一定按照本说明书示出和描述的顺序来执行相应方法的步骤。在一些其他实施例中，其方法所包括的步骤可以比本说明书所描述的更多或更少。此外，本说明书中所描述的单个步骤，在其他实施例中可能被分解为多个步骤进行描述；而本说明书中所描述的多个步骤，在其他实施例中也可能被合并为单个步骤进行描述。
图1为本说明书所提供的一实施例所示的数据计算节点执行的数据处理方法的流程图。上述数据处理方法，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑。
本实施例所述的数据计算节点部署有至少一种数据计算逻辑，该数据计算节点既可以是隶属于所述第一数据终端或第二数据终端的数据计算功能模块，也可以是独立于所述第一数据终端和所述第二数据终端的数据计算终端设备，在本说明书中不作限定。上述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接，所述连接包括但不限于本地连接、外部连接等方式。
在又一示出的实施例中，上述数据计算节点与所述第一数据终端通过所述本地通信方式连接，上述数据计算节点与所述第二数据终端通过外部通信方式连接，亦即，上述数据计算节点以数据计算功能模块或数据计算终端设备的形式，被配置在上述第一数据终端的本地。上述本地通信方式包括但不限于有线连接通信、终端内数据总线连接通信、专用总线连接通信、局域网通信；上述外部通信方式包括但不限于外部网络通信等。
通过将上述数据计算节点配置在上述第一数据终端的本地，使得第一数据终端的管理机构可以监控或取证上述数据计算节点的输出数据，防止数据计算节点将其获取的业务事件数据进行未授权的传输，有效保证业务事件数据的使用安全，防止业务事件数据被其他终端获取后而可能产生数据安全风险。
上述数据计算节点中的数据计算逻辑可以由上述第二数据终端根据业务需求来部署。当上述数据计算节点由于业务需要被本地配置于上述第一数据终端进行数据逻辑计算时，如果上述数据计算节点为独立于上述第一数据终端和第二数据终端的可移动硬件终端，则既可以由上述第二数据终端在本地部署上述数据计算节点内的数据计算逻辑，并在部署完毕后将上述数据计算节点移动至上述第一数据终端的本地，与上述第一数据终端以上述本地通信方式进行连接；也可以由上述第二数据终端通过外部通信方式将上述数据计算逻辑传输至所述数据计算节点内进行部署安装。
如果上述数据计算节点为隶属于上述第一数据终端的数据计算功能模块，则一般由上述第二数据终端通过外部通信方式将上述数据计算逻辑传输至所述数据计算节点内进行部署安装。
由于第二数据终端可能经常增加数据计算逻辑的种类，或每隔设定的时间对已有的 数据计算逻辑进行更新或修改，本领域的技术人员熟知，相比于在第二数据终端本地配置数据计算逻辑并移动安装上述数据计算节点的方式，通过外部通信方式在上述数据计算节点内传输部署数据计算逻辑，可以灵活地配置、增加或更新数据计算逻辑。
如图1所示，所述数据处理方法包括：
步骤102，所述数据计算节点接收所述第二数据终端发送的数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引。
在又一示出的实施例中，当所述数据计算节点部署有多种数据计算逻辑时，上述数据计算调用申请还包括与所述多种数据计算逻辑中的至少一种数据计算逻辑对应的逻辑标识，以方便数据计算节点选取对应的数据计算逻辑进行计算。
步骤104，基于所述查询索引，从所述第一数据终端获取目标业务事件数据。
上述数据计算节点从上述第一数据终端获取目标业务事件数据的具体方式可以有多种，例如上述数据计算节点可以将上述数据计算调用申请所包括的对目标业务事件数据的查询索引发送至上述第一数据终端，而直接从上述第一数据终端获取目标事件数据。
在一种示出的实施例中，上述第一数据终端为保证自身终端存储的所有业务事件数据及其他数据的安全，可以向第二数据终端进行数据授权，基于上述本地通信方式将被授权的业务事件数据集合传输至上述数据计算节点，以方便数据计算节点在数据计算时可以从上述被授权的业务事件数据集合中快捷的获取目标业务事件数据。对业务事件数据的具体的授权规则，可以依据第一数据终端和第二数据终端的约定而具体设定。
或者，上述第一数据终端向第二数据终端进行数据授权可以通过向所述数据计算节点发送被授权的业务事件数据对应的数据索引表的形式来实现。数据计算节点在接收到上述数据计算调用申请后，基于上述数据计算调用申请包括的对目标业务事件数据的查询索引在上述被授权的业务事件数据索引表中进行检索，如果能够在上述数据索引表中检索查询到上述查询索引或上述查询索引指向的数据对象，即表明上述目标业务事件数据为第一数据终端授权的业务事件数据，则上述数据计算节点再基于所述查询索引，从第一数据终端存储的所述被授权的业务事件数据集合中获取所述目标业务事件数据。本实施例所提供的上述数据计算节点从上述第一数据终端获取目标业务事件数据的实现方式，省去了数据计算节点存储被授权的业务事件数据所需的存储容量需求，且使得第一数据终端对业务事件数据有着更灵活的可操作性。
步骤106，运行所述数据计算调用申请对应的数据计算逻辑，基于所述目标业务事 件数据进行数据计算以获得计算结果。
在一示出的实施例中，当上述数据计算逻辑是由所述第二数据终端通过所述外部通信方式加密传输至所述数据计算节点而加密部署的时，所述数据计算为基于所述目标业务事件数据和被加密的数据计算逻辑而进行的加密计算；相应地，所述计算结果为加密状态的计算结果。在本实施例中，虽然数据计算节点被本地部署于第一数据终端，第一数据终端由于不能解密上述数据计算逻辑，也不能解密上述数据计算的计算结果，从而既保证了第一数据终端的业务事件数据的安全性，又保证了数据计算过程的隐私性和安全性。
步骤108，将所述计算结果发送至所述第二数据终端。
在又一示出的实施例中，上述数据计算节点运行的数据计算逻辑由所述第二数据终端通过外部通信方式加密传输至所述数据计算节点进行加密部署，相应的，所述计算结果为基于所述目标业务事件数据和被加密的数据计算逻辑而进行的加密计算所得的加密状态的计算结果。上述第二数据终端在获取到加密状态的计算结果后，可对该计算结果进行解密。
以下，以保险理赔场景为例，详细阐述本说明书提供的数据处理方法，上述数据计算节点为理赔计算节点，上述第一数据终端为业务数据方终端，上述第二数据终端为理赔服务方终端；上述计算逻辑为理赔计算逻辑；上述数据计算调用申请为理赔计算调用申请；上述计算结果为理赔结果。
图2是一示例性实施例提供的一种理赔计算节点执行的保险理赔方法的流程图，应用于包括业务数据方终端、理赔服务方终端和理赔计算节点的保险理赔系统；所述理赔计算节点分别与所述业务数据方终端和所述理赔服务方终端通信连接；所述理赔计算节点部署有理赔计算逻辑。
本实施例所述的理赔服务方终端为可与用户进行理赔服务的交互、接收用户的理赔申请、并向用户提供理赔结果的终端设备，可包括各家独立的保险公司的服务器、或多个保险公司统一设置的理赔服务平台机构对应的服务器等。
本实施例所述的业务数据方终端可为存储有理赔所基于的业务事件数据的终端设备。例如，当用户的理赔申请为医疗保险理赔申请时，相应的业务数据方终端为存储有用户医疗事件数据的终端设备，具体如综合性医院、专科性诊所、个性化医疗服务(如基因检测、身体检查)公司等机构的数据服务器；当用户的理赔申请为车辆保险理赔申请时， 相应的业务事件数据方终端为存储有车辆维修、美容、改装等记录的终端设备。随着保险业务的发展，越来越多的事物或事物的状态被纳入到保险或理赔的范围中来，相应的业务数据存储终端均可属于本实施例所述的业务数据方终端。
本实施例所述的理赔计算节点部署有理赔计算逻辑，该理赔计算节点既可以是隶属于所述理赔服务方终端或业务数据方终端的理赔计算功能模块，也可以是独立于所述理赔服务方终端和所述业务数据方终端的理赔计算终端设备，在本说明书中不作限定。上述理赔计算节点分别与所述业务数据方终端和所述理赔服务方终端通信连接，所述连接包括但不限于本地连接、外部连接等方式。
在又一示出的实施例中，上述理赔计算节点与所述业务数据方终端通过所述本地通信方式连接，上述理赔计算节点与所述理赔服务终端通过外部通信方式连接，亦即，上述理赔计算节点以理赔计算功能模块或理赔计算终端设备的形式，被配置在上述业务数据方终端的本地。上述本地通信方式包括但不限于有线连接通信、终端内数据总线连接通信、专用总线连接通信、局域网通信；上述外部通信方式包括但不限于外部网络通信等。
通过将上述理赔计算节点配置在上述业务数据方终端的本地，使得业务数据方终端的管理机构可以监控或取证上述理赔计算节点的输出数据，防止理赔计算节点将其获取的业务事件数据进行未授权的传输，有效保证业务事件数据的使用安全，防止业务事件数据被理赔服务方终端获取后而可能产生数据安全风险。
理赔计算节点内部署的理赔计算逻辑通常是基于用户购买或用户作为受益人的保险产品合约所规定的理赔规则而制定的，因此，上述理赔计算逻辑的制定或部署方通常为保险理赔服务机构对应的终端设备，或本实施例所述的理赔服务方终端。
当上述理赔计算节点需要被本地配置于上述业务数据方终端进行理赔逻辑计算时，如果上述理赔计算节点为独立于上述业务数据方终端和理赔服务方终端的可移动硬件终端，则既可以由上述理赔服务方终端在保险理赔服务机构的本地(及上述理赔服务方终端的本地)依据用户对应的保险理赔规则部署上述理赔计算节点内的理赔计算逻辑，并在部署完毕后将上述理赔计算节点移动至上述业务数据方终端的本地，与上述业务数据方终端以上述本地通信方式进行连接；也可以由上述理赔服务方终端通过外部通信方式将上述理赔计算逻辑传输至所述理赔计算节点内进行部署安装。
如果上述理赔计算节点为隶属于上述业务数据方终端的理赔计算功能模块，则一般 由上述理赔服务方终端通过外部通信方式将上述理赔计算逻辑传输至所述理赔计算节点内进行部署安装。
由于理赔服务方通常可基于不同类别、不同保险级别的保险产品提供多种不同类别、不同级别的理赔服务，理赔服务方可能经常增加理赔计算逻辑的种类，或每隔设定的时间对已有的理赔计算逻辑进行更新或修改，本领域的技术人员熟知，相比于在理赔服务方终端本地配置理赔计算逻辑并移动安装上述理赔计算节点的方式，通过外部通信方式在上述理赔计算节点内传输部署理赔计算逻辑，可以灵活地配置、增加或更新理赔计算逻辑。
而且，由于依据用户对应的保险理赔规则而生成的理赔计算逻辑通常与保险理赔服务方的业务机密或商业秘密相关，上述理赔计算逻辑还可以由所述理赔服务方终端通过上述外部通信方式加密传输至所述理赔计算节点进行加密部署；这样即使理赔计算节点位于上述业务数据方终端的本地，业务数据方也不能获知上述理赔计算逻辑的具体规则设置等机密内容，从而保护了保险理赔方的商业秘密。
如图2所示，本实施例所述的理赔计算节点执行的保险理赔方法包括：
步骤202，所述理赔计算节点接收所述理赔服务方终端发送的理赔计算调用申请，所述理赔计算调用申请包括对目标业务事件数据的查询索引。
本实施例所述的理赔服务方终端可通过与用户交互，获取到用户理赔申请。由于本实施例所提供的理赔服务方法无需用户提供理赔所基于的业务事件数据，基于用户理赔申请生成的理赔计算调用申请可包括获取目标业务事件数据的查询索引，所述目标业务事件数据即用户理赔所基于的业务事件数据，例如上述目标业务事件数据为用户张三于2018年11月20日在医院A的就医记录数据，则上述理赔计算调用申请所包括的对目标业务事件数据的查询索引张三的就诊身份信息(姓名或身份证号码或医疗卡号码)及就诊日期信息等。上述查询索引的具体形式和内容可依据理赔计算节点或业务数据方终端对业务事件数据的存储方式而具体设置，在本说明书中不作限定。当然，本实施例所述的理赔计算调用申请既可以基于上述用户理赔申请生成，也可以由上述理赔服务方终端直接生成，在本说明书中不作限定。
在又一示出的实施例中，当所述理赔计算节点部署有多种理赔计算逻辑时，上述理赔计算调用申请还包括与所述多种理赔计算逻辑中的至少一种理赔计算逻辑对应的逻辑标识，以方便理赔计算节点选取对应的理赔计算逻辑进行计算。
步骤204，基于所述查询索引，从所述业务数据方终端获取目标业务事件数据。
上述理赔计算节点从上述业务数据方终端获取目标业务事件数据的具体方式可以有多种，例如上述理赔计算节点可以将上述理赔计算调用申请所包括的对目标业务事件数据的查询索引发送至上述业务数据方终端，而直接从上述业务数据方终端获取目标事件数据。
在一种示出的实施例中，上述业务数据方终端为保证自身终端存储的所有业务事件数据及其他数据的安全，可以向理赔服务方进行数据授权，基于上述本地通信方式将被授权的业务事件数据集合传输至上述理赔计算节点，以方便理赔计算节点在理赔计算时可以从上述被授权的业务事件数据集合中快捷的获取目标业务事件数据。对业务事件数据的具体的授权规则，可以依据业务数据方和理赔服务方的约定而具体设定，例如，理赔服务方终端可以将被保险的用户名单发送给业务数据方，业务数据方终端基于上述被保险的用户名单整理上述被保险的用户对应的业务事件数据集合。
或者，上述业务数据方终端向理赔服务方进行数据授权可以通过向所述理赔计算节点发送被授权的业务事件数据对应的数据索引表的形式来实现。理赔计算节点在接收到上述理赔计算指令后，基于上述理赔计算指令包括的对目标业务事件数据的查询索引在上述被授权的业务事件数据索引表中进行检索，如果能够在上述数据索引表中检索查询到上述查询索引或上述查询索引指向的数据对象，即表明上述目标业务事件数据为业务数据方终端授权的业务事件数据，则上述理赔服务方再基于所述查询索引，从业务数据方终端存储的所述被授权的业务事件数据集合中获取所述目标业务事件数据。本实施例所提供的上述理赔计算节点从上述业务数据方终端获取目标业务事件数据的实现方式，省去了理赔计算节点存储被授权的业务事件数据所需的存储容量需求，且使得业务数据方终端对业务事件数据有着更灵活的可操作性。
步骤206，运行所述理赔计算逻辑，基于所述目标业务事件数据进行理赔计算以获得理赔结果。
在一示出的实施例中，当上述理赔计算逻辑是由所述理赔服务方终端通过所述外部通信方式加密传输至所述理赔计算节点而加密部署的时，所述理赔计算为基于所述目标业务事件数据和被加密的理赔计算逻辑而进行的加密计算；相应地，所述理赔结果为加密状态的理赔结果。在本实施例中，虽然理赔计算节点被本地部署于业务数据方终端，业务数据方终端由于不能解密上述理赔计算逻辑，也不能解密上述理赔计算的理赔结果， 从而既保证了业务数据方终端的业务事件数据的安全性，又保证了理赔计算过程的隐私性和安全性。
在又一示出的实施例中，当所述理赔计算节点部署有多种理赔计算逻辑时，如上述一实施例所述，所述理赔计算调用申请还包括与所述多种理赔计算逻辑中的至少一种理赔计算逻辑对应的逻辑标识；相应地，上述运行所述理赔计算逻辑，基于所述目标业务事件数据进行理赔计算以获得理赔结果，包括：基于所述逻辑标识获取所述理赔计算调用申请对应的至少一种理赔计算逻辑；运行与所述至少一种理赔计算逻辑，基于所述目标业务事件数据进行理赔计算，以获得至少一个理赔计算的结果。
上述实施例尤其适用于同一用户参保了多项保险产品，且该多项保险可基于同一目标业务事件数据进行理赔的情景中；上述多项保险产品对应的理赔计算逻辑可以由相同的理赔服务方终端进行部署，也可以由不同的理赔服务方终端进行部署，在本说明书中不作限定。
步骤208，将所述理赔结果发送至所述理赔服务方终端。
上述理赔计算节点在运行与理赔计算调用申请对应的理赔计算逻辑后，将获得的理赔结果发送至上述理赔服务方终端。
在一种示出的实施例中，所述理赔计算节点被设置在业务数据方终端的本地，所述理赔计算节点与所述理赔服务方终端通过外部通信方式连接，将上述理赔结果远程传输至上述理赔服务方终端。
在又一示出的实施例中，上述理赔计算节点运行的理赔计算逻辑由所述理赔服务方终端通过外部通信方式加密传输至所述理赔计算节点进行加密部署，相应的，所述理赔结果为基于所述目标业务事件数据和被加密的理赔计算逻辑而进行的加密计算所得的加密状态的理赔结果。上述理赔服务方在获取到加密状态的理赔结果后，可对该理赔结果进行解密，并将解密后的理赔结果发送至用户端的设备终端。
上述各实施例所述的理赔结果，可包括理赔方案的具体执行内容(包括是否理赔、理赔金额度、理赔金的支付期限等)的告知书、或向用户直接支付理赔金的支付指令等内容。相应地，理赔服务方终端在获取到上述理赔结果后，可以将理赔方案的具体执行内容的告知书发送至用户端设备终端，或直接向用户(或其他保险理赔受益人)的账户转移理赔金。
相应地，本说明书还提供了一种第二数据终端执行的数据处理方法，应用于包括第 一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；如图3所述方法包括：
步骤302，所述第二数据终端向所述数据计算节点发送数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
步骤304，接收所述数据计算节点发送的计算结果，所述计算结果是由所述数据计算节点运行所述数据计算逻辑，基于目标业务事件数据进行数据计算而获得的；其中，所述目标业务事件数据是由所述数据计算节点基于所述查询索引，从所述第一数据终端获取的。
在又一示出的实施方式中，所述数据计算节点与所述第一数据终端通过本地通信方式连接，所述数据计算节点与所述第二数据终端通过外部通信方式连接。
在又一示出的实施方式中，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式传输至所述数据计算节点进行部署。
在又一示出的实施方式中，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式加密传输至所述数据计算节点进行加密部署；所述计算结果是所述数据计算节点运行加密的数据计算逻辑，基于目标业务事件数据进行数据计算而获得的加密状态的计算结果。
在又一示出的实施方式中，所述数据计算节点部署有多种数据计算逻辑；所述数据计算调用申请还包括与所述多种数据计算逻辑中的至少一种数据计算逻辑对应的逻辑标识。
相似的，将上述数据处理方法应用于保险理赔场景，上述数据处理方法为保险理赔数据处理方法；上述数据计算节点为理赔计算节点，上述第一数据终端为业务数据方终端，上述第二数据终端为理赔服务方终端；上述计算逻辑为理赔计算逻辑；上述数据计算调用申请为理赔计算调用申请；上述计算结果为理赔结果。
上述各个实施例所述的第二数据终端或理赔服务方终端执行的数据处理方法中涉及的各个终端的功能、作用，与本说明书提供的上述一个或多个实施例所述的数据计算节点或理赔计算节点执行的数据处理方法中涉及的各个终端的功能、作用相似，在此不再赘述。
与上述流程实现对应，本说明书的实施例还提供了数据处理装置。该装置可以通过 软件实现，也可以通过硬件或者软硬件结合的方式实现。以软件实现为例，作为逻辑意义上的装置，是通过所在设备的CPU(Central Process Unit，中央处理器)将对应的计算机程序指令读取到内存中运行形成的。从硬件层面而言，除了图6所示的CPU、内存以及存储器之外，网络风险业务的实现装置所在的设备通常还包括用于进行无线信号收发的芯片等其他硬件，和/或用于实现网络通信功能的板卡等其他硬件。
图4所示为一种数据处理装置40，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述装置40包括：
接收单元402，接收所述第二数据终端发送的数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
获取单元404，基于所述查询索引，从所述第一数据终端获取目标业务事件数据；
计算单元406，运行所述数据计算调用申请对应的数据计算逻辑，基于所述目标业务事件数据进行数据计算以获得计算结果；
发送单元408，将所述计算结果发送至所述第二数据终端。
在又一示出的实施方式中，所述数据计算节点与所述第一数据终端通过本地通信方式连接，所述数据计算节点与所述第二数据终端通过外部通信方式连接。
在又一示出的实施方式中，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式传输至所述数据计算节点进行部署。
在又一示出的实施方式中，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式加密传输至所述数据计算节点进行加密部署；
所述计算单元406：
运行所述数据计算调用申请对应的加密的数据计算逻辑，基于所述目标业务事件数据进行加密地数据计算以获得加密状态的计算结果。
在又一示出的实施方式中，所述数据计算调用申请还包括与所述至少一种数据计算逻辑对应的逻辑标识。
在又一示出的实施方式中，所述数据计算节点存储有被所述第一数据终端授权的业务事件数据集合；所述业务事件数据集合由所述第一数据终端基于所述本地通信方式传输至所述数据计算节点；
所述获取单元404：
基于所述查询索引，从所述数据计算节点存储的所述业务事件数据集合中获取所述目标业务事件数据。
在又一示出的实施方式中，所述数据计算节点存储有被所述第一数据终端授权的业务事件数据集合对应的数据索引表；
所述获取单元404：
基于所述查询索引和所述数据索引表，确定所述目标业务事件数据是否属于被所述第一数据授权的业务事件数据集合；
如果是，基于所述查询索引，从第一数据终端存储的所述业务事件数据集合中获取所述目标业务事件数据。
在又一示出的实施方式中，所述数据处理装置为保险理赔数据处理装置；所述数据计算节点为理赔计算节点，所述第一数据终端为业务数据方终端，所述第二数据终端为理赔服务方终端；所述计算逻辑为理赔计算逻辑；所述数据计算调用申请为理赔计算调用申请；所述计算结果为理赔结果。
如图5上述，本说明书还提供了一种数据处理装置50，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述装置包括：
发送单元502，向所述数据计算节点发送数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
接收单元504，接收所述数据计算节点发送的计算结果，所述计算结果是由所述数据计算节点运行所述数据计算逻辑，基于目标业务事件数据进行数据计算而获得的；其中，所述目标业务事件数据是由所述数据计算节点基于所述查询索引，从所述第一数据终端获取的。
在又一示出的实施方式中，所述数据计算节点与所述第一数据终端通过本地通信方式连接，所述数据计算节点与所述第二数据终端通过外部通信方式连接。
在又一示出的实施方式中，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式传输至所述数据计算节点进行部署。
在又一示出的实施方式中，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式加密传输至所述数据计算节点进行加密部署；
所述计算结果是所述数据计算节点运行加密的数据计算逻辑，基于目标业务事件数据进行数据计算而获得的加密状态的计算结果。
在又一示出的实施方式中，所述数据计算节点部署有多种数据计算逻辑；所述数据计算调用申请还包括与所述多种数据计算逻辑中的至少一种数据计算逻辑对应的逻辑标识。
在又一示出的实施方式中，所述数据处理方法为保险理赔数据处理方法；所述数据计算节点为理赔计算节点，所述第一数据终端为业务数据方终端，所述第二数据终端为理赔服务方终端；所述计算逻辑为理赔计算逻辑；所述数据计算调用申请为理赔计算调用申请；所述计算结果为理赔结果。
上述装置中各个单元的功能和作用的实现过程具体详见上述方法中对应步骤的实现过程，相关之处参见方法实施例的部分说明即可，在此不再赘述。
以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理模块，即可以位于一个地方，或者也可以分布到多个网络模块上。可以根据实际的需要选择其中的部分或者全部单元或模块来实现本说明书方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
上述实施例阐明的装置、单元、模块，具体可以由计算机芯片或实体实现，或者由具有某种功能的产品来实现。一种典型的实现设备为计算机，计算机的具体形式可以是个人计算机、膝上型计算机、蜂窝电话、相机电话、智能电话、个人数字助理、媒体播放器、导航设备、电子邮件收发设备、游戏控制台、平板计算机、可穿戴设备或者这些设备中的任意几种设备的组合。
与上述方法实施例相对应，本说明书的实施例还提供了一种计算机设备，该计算机设备包括存储器和处理器。其中，存储器上存储有能够由处理器运行的计算机程序；处理器在运行存储的计算机程序时，执行本说明书实施例中数据计算节点执行的数据处理方法的各个步骤。对数据计算节点执行的数据处理方法的各个步骤的详细描述请参见之前的内容，不再重复。
与上述方法实施例相对应，本说明书的实施例还提供了一种计算机设备，该计 算机设备包括存储器和处理器。其中，存储器上存储有能够由处理器运行的计算机程序；处理器在运行存储的计算机程序时，执行本说明书实施例中第二数据终端执行的数据处理方法的各个步骤。对第二数据终端执行的数据处理方法的各个步骤的详细描述请参见之前的内容，不再重复。
以上所述仅为本说明书的较佳实施例而已，并不用以限制本说明书，凡在本说明书的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本说明书保护的范围之内。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。
计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。
本领域技术人员应明白，本说明书的实施例可提供为方法、系统或计算机程序产品。因此，本说明书的实施例可采用完全硬件实施例、完全软件实施例或结合软件和 硬件方面的实施例的形式。而且，本说明书的实施例可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。

Claims (30)

  1. 一种数据处理方法，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述方法包括：
    所述数据计算节点接收所述第二数据终端发送的数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
    基于所述查询索引，从所述第一数据终端获取目标业务事件数据；
    运行所述数据计算调用申请对应的数据计算逻辑，基于所述目标业务事件数据进行数据计算以获得计算结果；
    将所述计算结果发送至所述第二数据终端。
  2. 根据权利要求1所述的方法，所述数据计算节点与所述第一数据终端通过本地通信方式连接，所述数据计算节点与所述第二数据终端通过外部通信方式连接。
  3. 根据权利要求2所述的方法，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式传输至所述数据计算节点进行部署。
  4. 根据权利要求3所述的方法，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式加密传输至所述数据计算节点进行加密部署；
    所述运行所述数据计算调用申请对应的数据计算逻辑，基于所述目标业务事件数据进行数据计算以获得计算结果，包括：
    运行所述数据计算调用申请对应的加密的数据计算逻辑，基于所述目标业务事件数据进行加密地数据计算以获得加密状态的计算结果。
  5. 根据权利要求1至4中任一权利要求所述的方法，所述数据计算调用申请还包括与所述至少一种数据计算逻辑对应的逻辑标识。
  6. 根据权利要求2至4中任一权利要求所述的方法，所述数据计算节点存储有被所述第一数据终端授权的业务事件数据集合；所述业务事件数据集合由所述第一数据终端基于所述本地通信方式传输至所述数据计算节点；
    所述基于所述查询索引，从所述第一数据终端获取目标业务事件数据，包括：
    基于所述查询索引，从所述数据计算节点存储的所述业务事件数据集合中获取所述目标业务事件数据。
  7. 根据权利要求2至4中任一权利要求所述的方法，所述数据计算节点存储有被所述第一数据终端授权的业务事件数据集合对应的数据索引表；
    所述基于所述查询索引，从所述第一数据终端获取目标业务事件数据，包括：
    基于所述查询索引和所述数据索引表，确定所述目标业务事件数据是否属于被所述第一数据终端授权的业务事件数据集合；
    如果是，基于所述查询索引，从所述第一数据终端存储的所述业务事件数据集合中获取所述目标业务事件数据。
  8. 根据权利要求1所述的方法，所述数据处理方法为保险理赔数据处理方法；所述数据计算节点为理赔计算节点，所述第一数据终端为业务数据方终端，所述第二数据终端为理赔服务方终端；所述计算逻辑为理赔计算逻辑；所述数据计算调用申请为理赔计算调用申请；所述计算结果为理赔结果。
  9. 一种数据处理方法，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述方法包括：
    所述第二数据终端向所述数据计算节点发送数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
    接收所述数据计算节点发送的计算结果，所述计算结果是由所述数据计算节点运行所述数据计算逻辑，基于目标业务事件数据进行数据计算而获得的；其中，所述目标业务事件数据是由所述数据计算节点基于所述查询索引，从所述第一数据终端获取的。
  10. 根据权利要求9所述的方法，所述数据计算节点与所述第一数据终端通过本地通信方式连接，所述数据计算节点与所述第二数据终端通过外部通信方式连接。
  11. 根据权利要求10所述的方法，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式传输至所述数据计算节点进行部署。
  12. 根据权利要求11所述的方法，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式加密传输至所述数据计算节点进行加密部署；
    所述计算结果是所述数据计算节点运行加密的数据计算逻辑，基于目标业务事件数据进行数据计算而获得的加密状态的计算结果。
  13. 根据权利要求9至12中任一权利要求所述的方法，所述数据计算节点部署有多种数据计算逻辑；所述数据计算调用申请还包括与所述多种数据计算逻辑中的至少一种数据计算逻辑对应的逻辑标识。
  14. 根据权利要求9所述的方法，所述数据处理方法为保险理赔数据处理方法；所述数据计算节点为理赔计算节点，所述第一数据终端为业务数据方终端，所述第二数据终端为理赔服务方终端；所述计算逻辑为理赔计算逻辑；所述数据计算调用申请为理赔计算调用申请；所述计算结果为理赔结果。
  15. 一种数据处理装置，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述装置包括：
    接收单元，接收所述第二数据终端发送的数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
    获取单元，基于所述查询索引，从所述第一数据终端获取目标业务事件数据；
    计算单元，运行所述数据计算调用申请对应的数据计算逻辑，基于所述目标业务事件数据进行数据计算以获得计算结果；
    发送单元，将所述计算结果发送至所述第二数据终端。
  16. 根据权利要求15所述的装置，所述数据计算节点与所述第一数据终端通过本地通信方式连接，所述数据计算节点与所述第二数据终端通过外部通信方式连接。
  17. 根据权利要求16所述的装置，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式传输至所述数据计算节点进行部署。
  18. 根据权利要求17所述的装置，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式加密传输至所述数据计算节点进行加密部署；
    所述计算单元：
    运行所述数据计算调用申请对应的加密的数据计算逻辑，基于所述目标业务事件数据进行加密地数据计算以获得加密状态的计算结果。
  19. 根据权利要求15至18中任一权利要求所述的装置，所述数据计算调用申请还包括与所述至少一种数据计算逻辑对应的逻辑标识。
  20. 根据权利要求16至18中任一权利要求所述的装置，所述数据计算节点存储有被所述第一数据终端授权的业务事件数据集合；所述业务事件数据集合由所述第一数据终端基于所述本地通信方式传输至所述数据计算节点；
    所述获取单元：
    基于所述查询索引，从所述数据计算节点存储的所述业务事件数据集合中获取所述目标业务事件数据。
  21. 根据权利要求16至18中任一权利要求所述的装置，所述数据计算节点存储有被所述第一数据终端授权的业务事件数据集合对应的数据索引表；
    所述获取单元：
    基于所述查询索引和所述数据索引表，确定所述目标业务事件数据是否属于被所述第一数据授权的业务事件数据集合；
    如果是，基于所述查询索引，从第一数据终端存储的所述业务事件数据集合中获取所述目标业务事件数据。
  22. 根据权利要求15所述的装置，所述数据处理装置为保险理赔数据处理装置；所述数据计算节点为理赔计算节点，所述第一数据终端为业务数据方终端，所述第二数据终端为理赔服务方终端；所述计算逻辑为理赔计算逻辑；所述数据计算调用申请为理赔计算调用申请；所述计算结果为理赔结果。
  23. 一种数据处理装置，应用于包括第一数据终端、第二数据终端和数据计算节点的数据处理系统；所述数据计算节点分别与所述第一数据终端和所述第二数据终端通信连接；所述数据计算节点部署有至少一种数据计算逻辑；所述装置包括：
    发送单元，向所述数据计算节点发送数据计算调用申请，所述数据计算调用申请包括对目标业务事件数据的查询索引；
    接收单元，接收所述数据计算节点发送的计算结果，所述计算结果是由所述数据计算节点运行所述数据计算逻辑，基于目标业务事件数据进行数据计算而获得的；其中，所述目标业务事件数据是由所述数据计算节点基于所述查询索引，从所述第一数据终端获取的。
  24. 根据权利要求23所述的装置，所述数据计算节点与所述第一数据终端通过本地通信方式连接，所述数据计算节点与所述第二数据终端通过外部通信方式连接。
  25. 根据权利要求24所述的装置，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式传输至所述数据计算节点进行部署。
  26. 根据权利要求25所述的装置，所述数据计算逻辑由所述第二数据终端通过所述外部通信方式加密传输至所述数据计算节点进行加密部署；
    所述计算结果是所述数据计算节点运行加密的数据计算逻辑，基于目标业务事件数据进行数据计算而获得的加密状态的计算结果。
  27. 根据权利要求23至26中任一权利要求所述的装置，所述数据计算节点部署有多种数据计算逻辑；所述数据计算调用申请还包括与所述多种数据计算逻辑中的至少一种数据计算逻辑对应的逻辑标识。
  28. 根据权利要求23所述的装置，所述数据处理方法为保险理赔数据处理方法；所述数据计算节点为理赔计算节点，所述第一数据终端为业务数据方终端，所述第二数据终端为理赔服务方终端；所述计算逻辑为理赔计算逻辑；所述数据计算调用申请为理赔计算调用申请；所述计算结果为理赔结果。
  29. 一种计算机设备，包括：存储器和处理器；所述存储器上存储有可由处理器运 行的计算机程序；所述处理器运行所述计算机程序时，执行如权利要求1到8任意一项所述的方法。
  30. 一种计算机设备，包括：存储器和处理器；所述存储器上存储有可由处理器运行的计算机程序；所述处理器运行所述计算机程序时，执行如权利要求9到14任意一项所述的方法。
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Families Citing this family (1)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160217532A1 (en) * 2015-01-23 2016-07-28 Sure, Inc. Securing Claim Data via Block-Chains for a Peer to Peer Platform
CN106560853A (zh) * 2015-09-30 2017-04-12 阿里巴巴集团控股有限公司 一种业务处理方法和装置
CN108600390A (zh) * 2018-05-15 2018-09-28 北京首汽智行科技有限公司 一种基于区域链的共享车辆定损及理赔方法及装置
CN108629565A (zh) * 2018-04-28 2018-10-09 上海京颐科技股份有限公司 基于区块链的医疗理赔方法及装置、电子设备
CN110019249A (zh) * 2018-11-23 2019-07-16 阿里巴巴集团控股有限公司 一种数据处理方法、装置和计算机设备

Family Cites Families (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020077869A1 (en) * 1987-06-30 2002-06-20 Doyle Findley C. Insurance administration system
US6606744B1 (en) * 1999-11-22 2003-08-12 Accenture, Llp Providing collaborative installation management in a network-based supply chain environment
GB2361555A (en) * 2000-04-17 2001-10-24 Apama Inc Method of evaluating queries against received event information
US7856617B2 (en) * 2006-04-25 2010-12-21 Acs State And Local Solutions, Inc. Method, system and computer program product for creating software for processing an insurance claim
US8260634B1 (en) * 2007-05-16 2012-09-04 Lawlor Patrick M Automated insurance claim primacy resolution and claim resolution
US8103527B1 (en) * 2007-06-29 2012-01-24 Intuit Inc. Managing insurance claim data across insurance policies
US8055649B2 (en) * 2008-03-06 2011-11-08 Microsoft Corporation Scaled management system
US9489647B2 (en) * 2008-06-19 2016-11-08 Csc Agility Platform, Inc. System and method for a cloud computing abstraction with self-service portal for publishing resources
US20100088125A1 (en) * 2008-10-03 2010-04-08 Vaughan David A System and Method for Automation and Management of Insurance Claims Processing and Post Placement Transactions
US9390128B1 (en) * 2010-03-25 2016-07-12 Symantec Corporation Datastore for storing file access event data
WO2012075442A1 (en) * 2010-12-02 2012-06-07 American International Group, Inc. Systems, methods, and computer program products for processing insurance claims
US9424606B2 (en) * 2011-04-28 2016-08-23 Allstate Insurance Company Enhanced claims settlement
CN102332143A (zh) * 2011-07-22 2012-01-25 大连亿创天地科技发展有限公司 一种在线保险理赔核实赔付方法及系统
AU2013316348B2 (en) 2012-09-17 2016-08-11 Lg Electronics Inc. Laundry treating apparatus with auxiliary detergent supply module
US20140222493A1 (en) * 2013-02-04 2014-08-07 Uni-B Solutions Llc Process management system, method, and computer-readable medium
US20150081342A1 (en) * 2013-09-18 2015-03-19 Nicholas A. Dawson System and method to facilitate insurance workflow improvements
CN105447604B (zh) * 2014-08-04 2020-01-21 阿里巴巴集团控股有限公司 一种账户处理方法及装置
US10795890B2 (en) * 2015-02-25 2020-10-06 Sumo Logic, Inc. User interface for event data store
EP3411816A1 (en) * 2016-02-02 2018-12-12 Koninklijke Philips N.V. Cognitive patient care event reconstruction
US11087249B2 (en) * 2016-05-24 2021-08-10 Ciambella Ltd. Method and apparatus for triggering execution of a workflow over a network
US10438013B2 (en) * 2016-06-19 2019-10-08 Data.World, Inc. Platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization
JP2018120566A (ja) * 2017-01-24 2018-08-02 株式会社Ｎｔｔファシリティーズ 保守および保険管理システム、保守および保険管理システムの情報処理方法、並びにプログラム
TWI683273B (zh) * 2017-01-26 2020-01-21 富邦金融控股股份有限公司 使用智能合約進行保險理賠之系統及其方法
US20180276626A1 (en) * 2017-03-21 2018-09-27 Dappsters, LLC Blockchain systems and methods
US20180285979A1 (en) * 2017-04-04 2018-10-04 International Business Machines Corporation Creating service agreements via blockchain smart contracts
US20190236712A1 (en) * 2018-01-26 2019-08-01 Michael Horowitz Secure dispute settlement system
CN108280769A (zh) * 2018-02-01 2018-07-13 阿里巴巴集团控股有限公司 理赔业务的数据处理方法、装置、电子设备、服务器
CN108805721A (zh) * 2018-04-08 2018-11-13 阿里巴巴集团控股有限公司 一种保险业务数据处理方法、服务器及客户端
CN108632268B (zh) * 2018-04-28 2021-04-09 腾讯科技（深圳）有限公司 区块链访问的鉴权方法和装置、存储介质、电子装置
CN108446992A (zh) * 2018-05-11 2018-08-24 济南浪潮高新科技投资发展有限公司 一种基于区块链的网联汽车精准事故处理方法
CN108694238A (zh) * 2018-05-14 2018-10-23 腾讯科技（深圳）有限公司 基于区块链的业务数据处理方法、装置及存储介质
CN108711006B (zh) * 2018-05-15 2021-05-07 腾讯科技（深圳）有限公司 收入管理方法、管理节点、系统及存储设备
CN108848063B (zh) * 2018-05-24 2021-05-07 苏州朗润创新知识产权运营有限公司 基于区块链的数据处理方法、系统和计算机可读存储介质
CN108776936A (zh) * 2018-06-05 2018-11-09 中国平安人寿保险股份有限公司 保险理赔方法、装置、计算机设备和存储介质

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160217532A1 (en) * 2015-01-23 2016-07-28 Sure, Inc. Securing Claim Data via Block-Chains for a Peer to Peer Platform
CN106560853A (zh) * 2015-09-30 2017-04-12 阿里巴巴集团控股有限公司 一种业务处理方法和装置
CN108629565A (zh) * 2018-04-28 2018-10-09 上海京颐科技股份有限公司 基于区块链的医疗理赔方法及装置、电子设备
CN108600390A (zh) * 2018-05-15 2018-09-28 北京首汽智行科技有限公司 一种基于区域链的共享车辆定损及理赔方法及装置
CN110019249A (zh) * 2018-11-23 2019-07-16 阿里巴巴集团控股有限公司 一种数据处理方法、装置和计算机设备

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