Data processing method and device, storage medium and electronic equipment

Abstract

The invention relates to a data processing method and device, a storage medium and electronic equipment, and relates to the field of data processing.The method comprises the steps that firstly, carbon emission reduction behavior data of a client in an insurance service is obtained; according to the carbon emission reduction behavior data, determining the carbon emission reduction amount corresponding to each carbon emission reduction behavior; and then converting the carbon emission reduction into a carbon point of the customer. By applying the technical scheme of the invention, the insurance business behavior is combined with the carbon emission reduction calculation, the accurate calculation of the carbon emission reduction amount of the online insurance behavior is realized, a new carbon emission reduction cognition and participation mode is provided for the insurance customer in a carbon integral form, and the customer is stimulated to adopt more low-carbon environmental protection behaviors.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and specifically to a data processing method, device, storage medium, and electronic device. Background Art

[0002] During the process of handling online business, a carbon account can be automatically created for the customer based on the customer's environmental protection behavior, and the customer's carbon points (or carbon emission reduction points) can be calculated and generated. The carbon points mechanism not only helps to improve customers' environmental awareness, but also encourages customers to adopt more environmentally friendly behaviors when handling business.

[0003] Currently, carbon credits can be converted through existing carbon accounts based on customers’ bank card opening, transfer operations, etc. However, existing technology cannot provide customers who handle insurance business with a way to participate in carbon emission reduction. Summary of the invention

[0004] In view of this, the present application provides a data processing method, device, storage medium and electronic device, the main purpose of which is to improve the technical problem that the current existing technology cannot provide customers handling insurance business with a way to participate in carbon emission reduction.

[0005] In a first aspect, the present application provides a data processing method, comprising:

[0006] Obtain data on customers’ carbon reduction behaviors in insurance business;

[0007] Determine the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data;

[0008] The carbon emission reduction is converted into carbon credits for the customer.

[0009] Optionally, determining the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data includes:

[0010] Obtain the average annual carbon emission reduction amount corresponding to each type of carbon emission reduction behavior;

[0011] The carbon emission reduction amount corresponding to the carbon emission reduction behavior is determined according to the average value of the annual carbon emission reduction amount and the number of corresponding carbon emission reduction behaviors.

[0012] Optionally, the various carbon emission reduction behaviors include saving vehicles for claims settlement, saving paper insurance policies, and saving paper documents;

[0013] Determining the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data includes:

[0014] Based on the carbon emission reduction behavior data, determine the online claims emission reduction corresponding to the saving of vehicle dispatch for claims, the electronic policy emission reduction corresponding to the saving of paper policy books, and the electronic document and electronic invoice emission reduction corresponding to the saving of document paper.

[0015] Optionally, converting the carbon emission reduction into carbon credits of the customer includes:

[0016] By classifying and cleaning the data of the carbon emission reduction, detailed data of the carbon emission reduction and total data of the carbon emission reduction are obtained;

[0017] The carbon credits of the customer are determined based on the carbon emission reduction detailed data and the total carbon emission reduction data.

[0018] Optionally, determining the carbon credits of the customer according to the carbon emission reduction detailed data and the carbon emission reduction total data includes:

[0019] Performing data cleaning and statistics on the carbon emission reduction detailed data and the total carbon emission reduction data;

[0020] The cleaned data is converted into the carbon credits according to the preset conversion ratios corresponding to various types of carbon emission reductions.

[0021] Optionally, the method further includes:

[0022] Converting the total carbon emission reduction data of the customer into resource savings;

[0023] The resource saving amount is pushed to the client for display.

[0024] Optionally, after converting the carbon emission reduction into the customer's carbon credits, the method further includes:

[0025] The activities that are pushed to the customer in priority are determined based on the customer badge level and the proportion of carbon credits corresponding to the various carbon emission reduction behaviors. The customer badge level is determined based on the distribution range of the carbon credits and the step-by-step upgrade level standards.

[0026] In a second aspect, the present application provides a data processing device, comprising:

[0027] An acquisition module configured to acquire carbon emission reduction behavior data of a customer in insurance business;

[0028] A determination module is configured to determine the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data;

[0029] The conversion module is configured to convert the carbon emission reduction into the carbon credits of the customer.

[0030] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0031] In a fourth aspect, the present application provides an electronic device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the method described in the first aspect when executing the computer program.

[0032] By means of the above technical solution, the present application provides a data processing method, device, storage medium and electronic device, specifically, firstly obtain the carbon emission reduction behavior data of the customer in the insurance business; then determine the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior based on the carbon emission reduction behavior data; then convert the carbon emission reduction amount into the customer's carbon credits. Compared with the current existing technology, by applying the technical solution of the present application, the insurance business behavior is combined with the carbon emission reduction calculation, and the accurate calculation of the carbon emission reduction amount of the online insurance behavior is realized, and a new way of understanding and participating in carbon emission reduction is provided to insurance customers in the form of carbon credits, thereby motivating customers to adopt more low-carbon and environmentally friendly behaviors.

[0033] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0035] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0036] Figure 1 A schematic diagram of a data processing method provided in an embodiment of the present application is shown;

[0037] Figure 2 A schematic diagram showing a flow chart of another data processing method provided in an embodiment of the present application is shown;

[0038] Figure 3 A schematic diagram showing an application example provided by an embodiment of the present application;

[0039] Figure 4A schematic diagram showing an application example provided by an embodiment of the present application;

[0040] Figure 5 A structural schematic diagram of a data processing device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0041] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the scheme of the present application will be further described below. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0042] In order to improve the technical problem that the existing technology cannot provide carbon emission reduction participation methods for customers handling insurance business. This embodiment provides a data processing method, such as Figure 1 As shown, the method includes:

[0043] Step 101: Obtain the customer's carbon emission reduction behavior data in the insurance business.

[0044] For example, carbon reduction behavior data refers to data on behaviors and effects of reducing greenhouse gas emissions such as carbon dioxide (CO2). These data are crucial for evaluating carbon reduction effectiveness, formulating and adjusting carbon reduction strategies. Within the scope of customer behavior data authorization, customers’ insurance purchasing behaviors, living habits, and various carbon reduction activities or projects they participate in can be tracked to obtain and deeply analyze customers’ carbon reduction behavior data in insurance business.

[0045] In some examples, the big data system can be used to collect the following insurance carbon emission reduction behavior data based on the customer's use of the insurance carbon account area: online claims for auto insurance, online claims for non-auto insurance, video inspections, video mediation, electronic insurance policies, electronic invoices, electronic claims documents, and other data.

[0046] Step 102: Determine the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior based on the carbon emission reduction behavior data.

[0047] In some examples, data analysis tools and techniques can be used to analyze and calculate the integrated carbon emission reduction behavior data based on the statistics of each customer's online auto insurance claims, video inspections, electronic policy receipts, etc., and the carbon emission reduction corresponding to each carbon emission reduction behavior can be calculated based on the average carbon emissions of various carbon emission reduction behaviors.

[0048] Step 103: Convert the carbon emission reduction into the customer's carbon credits.

[0049] For example, the carbon credits that customers should receive are calculated based on the carbon emission reduction and conversion rules, and then accurately recorded and stored in the customer's carbon account, and the customer's carbon credits are updated in real time or regularly. Customers can also be provided with channels for redeeming carbon credits, such as credit malls, coupons, etc. Through the intuitive display and application of carbon credits, customers' awareness and attention to carbon emission reduction can be improved, and customers can be guided to actively participate in carbon emission reduction actions and improve their environmental awareness.

[0050] This embodiment first obtains the carbon emission reduction behavior data of the customer in the insurance business; then, based on the carbon emission reduction behavior data, determines the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior; and then converts the carbon emission reduction amount into the customer's carbon credits. Compared with the current existing technology, this embodiment combines insurance business behavior with carbon emission reduction calculation to achieve accurate calculation of carbon emission reduction amount of online insurance behavior, and provides insurance customers with a new way of understanding and participating in carbon emission reduction in the form of carbon credits, thereby encouraging customers to adopt more low-carbon and environmentally friendly behaviors.

[0051] Further, as a refinement and extension of the above embodiment, in order to fully illustrate the specific implementation process of the method of this embodiment, this embodiment provides the following Figure 2 The specific method shown includes:

[0052] Step 201: Obtain the customer's carbon emission reduction behavior data in the insurance business.

[0053] In some examples, after authorization by the customer, the customer's online usage behavior data of various functions can be collected through the client (such as mobile APP, mini-programs, web pages, etc.), where these carbon emission reduction behavior data may include the customer's click behavior, browsing time, transaction records, preference settings, etc. Then, these carbon emission reduction behavior data are uniformly transmitted to the customer behavior analysis platform for preliminary storage and management for subsequent analysis and processing. The big data platform will then extract it on a daily basis, record the customer's carbon emission reduction behavior completion data in the background and store it in the database, and use the Extract, Transform, Load (etl) tool to push data to the big data platform on a daily basis.

[0054] Step 202: Determine the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior based on the carbon emission reduction behavior data.

[0055] In some examples, the system can classify and analyze the collected data to identify different types of carbon reduction behaviors and calculate their respective emission reduction amounts. Figure 3As shown in the figure, after customers visit the carbon account area, they can collect their online carbon emission reduction operation behavior data according to the authorization, including the data of claims, corrections and other behaviors. At the same time, the customer's carbon emission reduction operation data and page access behavior data are received and stored. Then the emission reduction amount of each carbon emission reduction behavior is calculated, and the customer's personal carbon emission reduction amount is calculated based on the incremental data. After the calculation is completed, these data will be stored and pushed to the client system background the next day. The system background receives and stores these personal carbon emission reduction data, and finally displays them to customers through the front-end page, so that customers can clearly understand their carbon emission reduction results.

[0056] Optionally, various types of carbon emission reduction behaviors include saving on vehicle dispatch for claims settlement, saving on paper insurance policy books, and saving on document paper; accordingly, step 202 may also specifically include: determining, based on the carbon emission reduction behavior data, the online claims emission reduction corresponding to saving on vehicle dispatch for claims settlement, the electronic insurance policy emission reduction corresponding to saving on paper insurance policy books, and the electronic document and electronic invoice emission reduction corresponding to saving on document paper.

[0057] For example, the carbon emission reduction can be divided into three categories according to the customer's carbon emission reduction behavior: the first category is the claim-based saving of vehicle A K , recorded as the online claim reduction K; the second category is saving paper insurance policy books A P , recorded as the electronic policy emission reduction P; the third category is the saving of document paper A Q , recorded as the emission reduction Q of electronic documents and electronic invoices.

[0058] Optionally, step 202 may specifically include: obtaining an average annual carbon emission reduction amount corresponding to each type of carbon emission reduction behavior; and determining the carbon emission reduction amount corresponding to the carbon emission reduction behavior based on the average annual carbon emission reduction amount and the number of corresponding carbon emission reduction behaviors.

[0059] In some examples, the carbon emission reduction of online claims is the average carbon emission of all cases in the year, corresponding to the customer's online claims and video claims behavior. If the carbon emission per kilometer of each company's survey vehicle is C n , n is the vehicle number, and the mileage of a vehicle in a case is M jh , j is the number of cases the vehicle is responsible for, h is the number of vehicle dispatches for each case, and the total number of offline investigation and claims cases for auto insurance and non-auto insurance in a year is S. The carbon emission reduction of online claims K can be calculated by formula 1:

[0060]

[0061] In some examples, the emission reduction of electronic policies is the average carbon emission of paper consumed by all insurance policies in a year. j The amount of paper used for paper insurance policies is recorded as N, j is the insurance type number, the total number of insurance types is m, the carbon emissions of each piece of paper is recorded as C, and the total number of insurance policies is recorded as S. The emission reduction of electronic insurance policies P can be calculated by formula 2:

[0062]

[0063] In some examples, the carbon emission reduction behavior corresponding to the electronic documents and electronic invoices is recorded as N, the carbon emission per piece of paper is recorded as C, and the total is recorded as S. The emission reduction Q of electronic documents and electronic invoices can be calculated by formula three:

[0064]

[0065] Step 203: Obtain detailed data on carbon emission reduction and total data on carbon emission reduction by classifying and cleaning the data on carbon emission reduction.

[0066] In some examples, after completing the data collection of carbon emission reduction, the emission reduction of each type of carbon emission reduction behavior can be calculated based on the behavior data and the backend storage data through the big data platform, and the data can be classified and cleaned to generate detailed data and total data of carbon emission reduction. Among them, the detailed data of carbon emission reduction can include the details of emission reduction of each type of carbon emission reduction behavior, and the total data of carbon emission reduction can include the carbon emission reduction obtained by all carbon emission reduction behaviors as a whole.

[0067] In some examples, data classification and cleaning is an important part of the data processing process, which involves organizing, classifying and cleaning the original data. The accuracy, consistency and integrity of the data can be ensured by clarifying the cleaning goals, backing up the original data, selecting appropriate cleaning methods and tools, and verifying the cleaning results. Through this process, detailed carbon emission reduction data and overall carbon emission reduction data can be obtained.

[0068] For example, customer carbon reduction behavior A K , A P , A Q The three types of behaviors correspond to different emission reduction amounts K, P, and Q. The details of individual carbon emission reduction behaviors and time data records can be shown in Table 1:

[0069] Table 1

[0070] Customer carbon reduction behavior Carbon reduction behavior emission reduction Classification of carbon reduction behaviors Carbon reduction time Online car insurance claims K <![CDATA[A K ]]> yyyy-mm-dd Electronic Policy P <![CDATA[A P ]]> yyyy-mm-dd Electronic documents Q <![CDATA[A Q ]]> yyyy-mm-dd Video claims K <![CDATA[A K ]]> yyyy-mm-dd ............. ................ ........... .............

[0071] For example, for a customer’s personal carbon emission reduction total U, the total carbon emission reduction total U can be obtained by calculating the historical value plus the daily added value. The historical carbon emission reduction total is recorded as U Y , accumulate the number of three types of carbon emission reduction behaviors T K , T P , T Q Multiply by the corresponding emission reduction amount to get the total carbon emission reduction data. The calculation method can be shown in Formula 4:

[0072] U=U Y +K*TK +P*T P +Q*T Q (Formula 4)

[0073] In some examples, after calculating the detailed data and total data of carbon emission reduction, the detailed and total data of the customer's carbon emission reduction can be pushed back to the client system backend the next day to display the detailed and total data to the customer.

[0074] Step 204: Determine the customer's carbon credits based on the carbon emission reduction detailed data and the total carbon emission reduction data.

[0075] In some examples, the customer's carbon credits may be calculated based on the emission reduction data obtained in step 203. The carbon credits may reflect the customer's efforts and achievements in reducing carbon emissions, and may also be used for subsequent rewards or incentives.

[0076] Optionally, step 204 may specifically include: performing data cleaning and statistics on the carbon emission reduction detailed data and the total carbon emission reduction data; and converting the cleaned data into carbon credits according to preset conversion ratios corresponding to various types of carbon emission reductions.

[0077] In some examples, the total carbon emission reduction data U of the customer and the carbon emission reduction amounts U corresponding to the three types of carbon emission reduction behaviors can be calculated. K , U P , U Q After cleaning and counting the data and removing the customer data that has no carbon emission reduction record after authorization, Spark is used to calculate U and U respectively according to the standard score (Z-Score) method. K , U P , U Q The mean u and standard deviation σ of the four types of data are set to the corresponding threshold y. The Z score of the data point x in the four types of data is calculated according to Formula 5, and the abnormally large values ​​with Z scores greater than y are cleared.

[0078]

[0079] For example, the total amount of carbon emission reduction after cleaning and the three types of carbon emission reduction can be converted and calculated. The preset conversion ratios corresponding to the various types of carbon emission reduction can be set according to business needs to reflect the importance of different carbon emission reduction behaviors. For example, the preset conversion ratio of carbon points corresponding to saving vehicles for claims is 10:1, the preset conversion ratio of carbon points corresponding to saving paper insurance policies is 2:1, and the preset conversion ratio of carbon points corresponding to saving paper documents is 1:1. Then according to the points P = U K / 10+U P / 2+U Q , you can eventually get customer points.

[0080] For example, suppose a customer achieves 100 kg of carbon emission reduction by taking energy-saving and emission-reduction actions, such as online car insurance claims. According to the preset carbon credit conversion rules, each kilogram of carbon emission reduction can be converted into 0.1 carbon credit. Therefore, the customer can obtain 10 carbon credits, and further, these credits can be exchanged for corresponding rewards or discounts in the credit mall.

[0081] Optionally, the method of this embodiment may further include: converting the customer's total carbon emission reduction data into resource savings; and pushing the resource savings to the customer for display.

[0082] In some examples, the customer's personal carbon emission reduction can also be converted into savings calculations. In this embodiment, the customer's personal carbon emission reduction total amount is converted into resource savings, including the saved electricity H1, the saved number of plastic bags H2, the saved coal kilograms H3, etc. The carbon emissions per kilowatt-hour are recorded as O1, the carbon emissions per plastic bag are recorded as O2, and the carbon emissions per kilogram of coal are recorded as O3. After the customer's carbon emission reduction details and the customer's total carbon emission reduction U are calculated by big data, the customer's carbon emission reduction savings conversion is performed. The calculation method of the savings conversion amount can be shown in Table 2:

[0083] Table 2

[0084] Savings conversion type Carbon emissions Savings Save electricity <![CDATA[O1]]> <![CDATA[H1=U / O1]]> Save plastic bags <![CDATA[O2]]> <![CDATA[H2=U / O2]]> Kilograms of coal saved <![CDATA[O3]]> <![CDATA[H3=U / O3]]>

[0085] For example, if the carbon emission per kilowatt-hour O1 is 0.6 kg CO2 equivalent / kilowatt-hour, and the total carbon emission reduction U is 100 kg, then according to the savings conversion method, the saved electricity H1 is 166.7 kWh.

[0086] In some examples, after the calculation is completed, the corresponding savings conversion amount can be pushed to the client system backend the next day, and the personal resource savings amount can be displayed to the customer on the client front-end page.

[0087] Optionally, the method of this embodiment may further include: determining activities to be pushed to customers in priority based on customer badge levels and the proportion of carbon credits corresponding to various carbon emission reduction behaviors, and the customer badge level is determined based on the distribution range of carbon credits and the step-by-step upgrade level standards.

[0088] In some examples, the front end can be divided into five customer badge levels according to the total points distribution interval and the step-by-step level upgrade standard, and displayed to the customer together with the points. The priority is then calculated based on the level badge corresponding to the customer's points P and the corresponding points proportion of the customer's three types of carbon emission reduction behaviors.

[0089] For example, customer carbon points 0-100 is level 1, 100-300 is level 2, 300-800 is level 3, 800-1500 is level 4, 1500-3000 is level 5. After converting the customer's carbon points into the corresponding customer badge registration, the corresponding priority push activity types and available lucky draw activities as shown in Table 3 can be obtained.

[0090] Table 3

[0091]

[0092] In the disclosed embodiments, customers can be encouraged to actively participate in carbon reduction behaviors by setting customer badge levels, point rewards, rankings, etc., so as to provide customers with personalized carbon reduction displays and activity push notifications. Customers can not only intuitively see their carbon reduction achievements and levels, but also understand their contributions and preferences in different carbon reduction behaviors, so as to participate more actively in carbon reduction activities.

[0093] In some examples, such as Figure 4 As shown, first, the customer agrees and authorizes the system or platform to collect the carbon emission reduction behavior data generated in their daily life or business activities. Then, the system or platform uses scientific calculation methods or models to calculate the emission reduction of the customer's carbon emission reduction behavior based on the data collected by the customer's authorization. This step is a key step in quantifying the customer's carbon emission reduction effect. On the basis of obtaining the emission reduction of the customer's carbon emission reduction behavior, the system or platform can further calculate the customer's personal carbon emission reduction. Then, the customer's personal carbon emission reduction saving conversion calculation is performed to convert the customer's personal carbon emission reduction into energy savings or economic benefits of emission reduction, so that the customer can more intuitively understand the actual benefits brought by carbon emission reduction behavior. Then, the system or platform calculates the customer's personal carbon emission reduction points based on the customer's personal carbon emission reduction and saving conversion results. These points can be used to redeem rewards, coupons or other incentives to encourage customers to continue to participate in carbon emission reduction activities. Finally, according to the customer's carbon emission reduction points and emission reduction behavior, relevant activity information is pushed to the customer. These activities may include energy-saving and emission reduction competitions, green product promotion, carbon emission reduction knowledge lectures, etc. By pushing activity information, the system or platform aims to further enhance customers' environmental awareness and participation. By quantifying carbon reduction effects, calculating personal carbon reduction points and pushing relevant activity information, customers are encouraged to actively participate in carbon reduction activities and further promote the development of environmental protection.

[0094] Compared with the current existing technology, this embodiment collects the customer's carbon emission reduction behavior for classified storage after the customer authorizes data collection, and uses big data technology to accurately analyze and calculate the carbon emission reduction behavior and the customer's personal carbon emission reduction, providing customers with personalized carbon emission reduction display and activity push, and enhancing customers' sense of participation in carbon emission reduction. This embodiment combines insurance business behavior with carbon emission reduction calculation to achieve accurate calculation of carbon emission reduction in online insurance behavior, and provides insurance customers with a new way of understanding and participating in carbon emission reduction in the form of carbon points, thereby encouraging customers to adopt more low-carbon and environmentally friendly behaviors, and further achieving personalized carbon emission reduction display and activity push for customers.

[0095] Further, as Figure 1 The specific implementation of the method shown in this embodiment provides a data processing device, such as Figure 5 As shown, the device includes: an acquisition module 31, a determination module 32, and a conversion module 33.

[0096] An acquisition module 31 is configured to acquire carbon emission reduction behavior data of customers in insurance business;

[0097] A determination module 32 is configured to determine the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data;

[0098] The conversion module 33 is configured to convert the carbon emission reduction into the carbon credits of the customer.

[0099] In some examples, the acquisition module 31 is specifically configured to obtain the average annual carbon emission reduction amount corresponding to the various types of carbon emission reduction behaviors; and determine the carbon emission reduction amount corresponding to the carbon emission reduction behavior based on the average annual carbon emission reduction amount and the number of corresponding carbon emission reduction behaviors.

[0100] In some examples, the various types of carbon emission reduction behaviors include saving on vehicle dispatch for claims settlement, saving on paper insurance policy books, and saving on document paper; accordingly, the acquisition module 31 is specifically configured to determine the online claims emission reduction corresponding to saving on vehicle dispatch for claims settlement, the electronic insurance policy emission reduction corresponding to saving on paper insurance policy books, and the electronic document and electronic invoice emission reduction corresponding to saving on document paper based on the carbon emission reduction behavior data.

[0101] In some examples, the conversion module 33 is specifically configured to obtain carbon emission reduction detailed data and carbon emission reduction total data by classifying and cleaning the carbon emission reduction data; and determine the customer's carbon credits based on the carbon emission reduction detailed data and carbon emission reduction total data.

[0102] In some examples, the conversion module 33 is further configured to perform data cleaning and statistics on the carbon emission reduction detailed data and the carbon emission reduction total data; and convert the cleaned data into the carbon credits according to the preset conversion ratios corresponding to each type of carbon emission reduction.

[0103] In some examples, the conversion module 33 is further specifically configured to convert the total carbon emission reduction data of the customer into resource savings; and push the resource savings to the customer for display.

[0104] In some examples, the conversion module 33 is further specifically configured to determine the activities to be pushed to the customer first based on the customer badge level and the carbon credit ratio corresponding to the various carbon emission reduction behaviors, and the customer badge level is determined based on the distribution range of the carbon credits and the step-by-step upgrade level standard.

[0105] Based on the above Figure 1 and Figure 2 The method shown in the embodiment also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned Figure 1 and Figure 2 The method shown.

[0106] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0107] Based on the above Figure 1 and Figure 2 The method shown, and Figure 5 In order to achieve the above-mentioned purpose, the embodiment of the present application further provides an electronic device, which may include a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1 and Figure 2 The method shown.

[0108] Optionally, the above-mentioned physical device may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0109] Those skilled in the art will appreciate that the above-mentioned physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or a combination of certain components, or different arrangements of components.

[0110] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the above-mentioned physical device, and supports the operation of the information processing program and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing physical device.

[0111] Through the description of the above implementation methods, the technicians in this field can clearly understand that the present application can be implemented by means of software plus the necessary general hardware platform, or by hardware. By applying the scheme of this embodiment, after the authorization of the customer himself, the system collects and records the customer's online carbon emission reduction behavior, and after the system background big data processing, the carbon emission reduction amount, carbon emission reduction details, carbon emission reduction saving conversion and carbon emission reduction points generated by the carbon emission reduction behavior are displayed to the customer, and the corresponding activities are pushed to the customer according to the carbon emission reduction points and the function usage activity. This embodiment combines the insurance business behavior with the carbon emission reduction calculation to achieve the accurate calculation of the carbon emission reduction amount of the online insurance behavior, and provides a new way of carbon emission reduction cognition and participation for insurance customers in the form of carbon points, thereby encouraging customers to adopt more low-carbon and environmentally friendly behaviors, and further realizing the provision of personalized carbon emission reduction display and activity push for customers. It aims to encourage customers to actively participate in carbon emission reduction activities and jointly promote the development of environmental protection by quantifying the carbon emission reduction effect, calculating personal carbon emission reduction points and pushing relevant activity information.

[0112] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0113] The above is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features applied for herein.

Claims

1. A data processing method, characterized in that: include: Obtain data on customers’ carbon reduction behaviors in insurance business; Determine the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data; The carbon emission reduction is converted into carbon credits for the customer.

2. The method according to claim 1, characterized in that Determining the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data includes: Obtain the average annual carbon emission reduction amount corresponding to each type of carbon emission reduction behavior; The carbon emission reduction amount corresponding to the carbon emission reduction behavior is determined according to the average value of the annual carbon emission reduction amount and the number of corresponding carbon emission reduction behaviors.

3. The method according to claim 1, characterized in that The various carbon emission reduction behaviors include saving vehicles for claims settlement, saving paper insurance policies, and saving paper documents; Determining the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data includes: Based on the carbon emission reduction behavior data, determine the online claims emission reduction corresponding to the saving of vehicle dispatch for claims, the electronic policy emission reduction corresponding to the saving of paper policy books, and the electronic document and electronic invoice emission reduction corresponding to the saving of document paper.

4. The method according to claim 1, characterized in that: The converting of the carbon emission reduction into the customer's carbon credits includes: By classifying and cleaning the data of the carbon emission reduction, detailed data of the carbon emission reduction and total data of the carbon emission reduction are obtained; The carbon credits of the customer are determined based on the carbon emission reduction detailed data and the total carbon emission reduction data.

5. The method according to claim 4, characterized in that Determining the customer's carbon credits based on the carbon emission reduction detailed data and the carbon emission reduction total data includes: Performing data cleaning and statistics on the carbon emission reduction detailed data and the total carbon emission reduction data; The cleaned data is converted into the carbon credits according to the preset conversion ratios corresponding to various types of carbon emission reductions.

6. The method according to claim 4, characterized in that The method further comprises: Converting the total carbon emission reduction data of the customer into resource savings; The resource saving amount is pushed to the client for display.

7. The method according to claim 1, characterized in that After converting the carbon emission reduction into the carbon credits of the customer, the method further includes: The activities that are pushed to the customer in priority are determined based on the customer badge level and the proportion of carbon credits corresponding to the various carbon emission reduction behaviors. The customer badge level is determined based on the distribution range of the carbon credits and the step-by-step upgrade level standards.

8. A data processing device, characterized in that: include: An acquisition module configured to acquire carbon emission reduction behavior data of a customer in insurance business; A determination module is configured to determine the carbon emission reduction amount corresponding to each type of carbon emission reduction behavior according to the carbon emission reduction behavior data; The conversion module is configured to convert the carbon emission reduction into the carbon credits of the customer.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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