Life insurance service processing method, apparatus and device based on sub-balanced gross insurance premium actuarial algorithm, and storage medium

Abstract

The invention provides an insurance service processing method, device and equipment based on a sub-balanced insurance premium algorithm, and a storage medium, and the method achieves the automatic processing of a life insurance product from parameter input, actuarial modeling, algorithm calculation to insurance policy generation through embedding an innovative sub-balanced insurance premium actuarial algorithm in a life insurance service processing system. The core invention of the method is to construct an insurance premium conversion function model under the constraint of life insurance responsibility reserve fund, perform segmented modeling and dynamic conversion on first-year total insurance premium and non-first-year total insurance premium, and realize the conversion through program codes, so that the defect that a traditional algorithm cannot ensure that the life insurance responsibility reserve fund must be counted and extracted in a compliance manner can be eliminated; and the payment burden of the insurance applicant in the subsequent year can be effectively reduced. The algorithm is high in system efficiency, saves occupied computing resources, is low in underwriting cost, and can reduce the risk of insurance policy information leakage through online operation. The method is suitable for all life insurance products, and can achieve the maximization of guarantee capability, the optimization of anti-risk performance and the intelligentization of business operation.

Description

Technical Field

[0001] This invention relates to the intersection of actuarial science and computer technology, and in particular to a method, apparatus, equipment and storage medium for life insurance business processing based on a subequilibrium gross premium actuarial algorithm. Background Technology

[0002] In current technology, the purchase of life insurance products mainly relies on offline, manual services. While this method provides face-to-face information consultation and insurance guidance, it still has many shortcomings in practical application. For example, offline purchases typically require sales personnel to repeatedly schedule meetings with customers, collecting customer information during these meetings before entering it into the system to complete the insurance application. The overall process is cumbersome and inefficient, severely limiting the convenience and flexibility of purchasing life insurance products. Furthermore, customers often need to understand key actuarial information about the policy in advance, such as the annual premium amounts for life insurance. This information usually requires sales personnel to collect customer data, followed by actuarial calculations by other personnel. This calculation process is lengthy and inevitably increases the risk of customer personal information being accessed and leaked by multiple parties, which is detrimental to personal information security. In addition, for ease of calculation, existing offline sales models generally use a level premium calculation method to present the annual premiums to customers. However, this method can easily lead to the actual liability reserves being lower than the claims liability reserves in the early stages of the premium payment period, posing a potential risk to insurance companies regarding liability reserve compliance. Other premium calculation methods that can meet liability reserve requirements are often complex, resource-intensive, and time-consuming, making them difficult to complete in real-time during the purchase process and unsuitable for traditional offline purchase scenarios, thus impacting customer experience. Therefore, existing life insurance product purchase methods generally suffer from complex processes, insufficient flexibility, low personal information security, and difficulties in implementing premium calculation methods while maintaining controllable risk and a positive user experience. There is an urgent need for a life insurance product purchase technology solution that balances actuarial compliance, computational efficiency, and user experience. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the main objective of this invention is to provide a life insurance business processing method, apparatus, equipment, and storage medium based on a subequilibrium gross premium actuarial algorithm. By combining a life insurance actuarial model with computerized implementation, and while meeting the compliance requirements for life insurance liability reserves, the invention achieves subequilibrium calculation of first-year gross premium and non-first-year equilibrium gross premium, thereby simplifying the life insurance product purchase process, improving the convenience and flexibility of purchase, reducing the risk of personal information leakage, and significantly improving user experience while ensuring computational efficiency.

[0004] To achieve the above objectives, the first aspect of the present invention provides a life insurance business processing method based on a subequilibrium gross premium actuarial algorithm, the method comprising: Receive a life insurance product purchase request sent by a client. The purchase request includes at least the insurance information corresponding to the life insurance product, the extension period, and the insured's insurance information. Based on the aforementioned insurance information, extension period, and insurance information, the first-year gross premium and non-first-year equilibrium gross premium are calculated using a subequilibrium gross premium actuarial algorithm. An electronic policy is generated based on the first-year gross premium and the non-first-year level premium and sent to the client to complete the purchase of the life insurance product.

[0005] Optionally, the subequilibrium gross premium actuarial algorithm is used to perform differentiated calculations on the first-year gross premium and the renewal gross premium, provided that the life insurance liability reserve requirements are met.

[0006] Optionally, the sub-equilibrium gross premium actuarial algorithm is as follows:

[0007] The first-year gross premium is obtained using the following formula:

[0008] in, C represents the sub-equilibrium gross premium, P represents the annual equilibrium net premium, and L represents the associated insurance benefit, which is the sum of the actual insurance benefit paid each year, claims processing fees, and annuity claims management fees. The n represents the insured's age at the time of application, the n represents the extension period (which is also the premium payment period), the m represents the number of annuity payments per year, b represents the policy custody fee, and k represents the second rebate percentage. This represents the second actuarial present value. This represents the third actuarial present value. Y represents the first year's gross premium, Y represents the first year's underwriting cost, and R represents the first rebate percentage. Wherein, the second actuarial present value is the actuarial present value of the policyholder paying premiums once a year at the end of each year, paying one unit amount of premiums annually, continuously paying the deferred period, excluding the last year; the third actuarial present value is the actuarial present value of the policyholder's deferred whole life annuity after the deferred period is insured, divided into m equal periods each year, paid once at the beginning of each period, with a total of one unit amount paid annually.

[0009] Optionally, the formula for the annual level premium is as follows:

[0010] Where C represents the annual level premium, P represents the associated insurance benefit, n represents the deferral period (which is also the premium payment period), L represents the insured's age at the time of application, and m represents the number of annuity payments per year during the annuity payout period. This represents the third actuarial present value. This represents the first actuarial present value.

[0011] The first actuarial present value is the actuarial present value calculated by the policyholder based on annual premium payments made at the beginning of each year, with a unit amount of premium paid annually, and the continuous payment of premiums for an extended period.

[0012] Optionally, the method further includes: setting an age range based on the insured age and a preset maximum lifespan, obtaining data on the number of insured persons in the corresponding age range, and using the insured age, the extension period, and the number of payments per year to calculate the first actuarial present value, the second actuarial present value, and the third actuarial present value, thereby realizing the intelligentization of the actuarial process.

[0013] Optionally, the first actuarial present value is calculated using the following formula:

[0014] The second actuarial present value is calculated using the following formula:

[0015] The formula for calculating the third actuarial present value is as follows:

[0016] in, , ; in, Represents the first actuarial present value. This represents the second actuarial present value. This represents the third actuarial present value, n represents the deferral period (which is also the premium payment period), and L represents the insured's age at the time of application. This indicates the pre-set maximum life expectancy of the insured. This is a conversion function representing the total life expectancy of the insured from the age at which the insurance was purchased to the maximum life expectancy. A conversion function representing the insured's age at the time of application. A conversion function representing the insured's age after completing the extended payment period. This represents the total conversion function from the start of the extended payment period to the maximum life expectancy of the insured, where i represents the preset annual interest rate, and m represents the number of payments per year during the annuity payout period. This indicates the number of insured persons aged L who are insured.

[0017] To achieve the above objectives, a second aspect of the present invention provides a life insurance business processing apparatus based on a subequilibrium gross premium actuarial algorithm, the apparatus comprising: The receiving module is used to receive life insurance product purchase requests sent by the client. The purchase request includes at least the insurance information corresponding to the life insurance product, the extension period, and the insured's insurance information. The calculation module is used to calculate the first-year gross premium and the non-first-year equilibrium gross premium respectively based on the insurance information, the extension period and the insurance information, using the subequilibrium gross premium actuarial algorithm. The generation module is used to generate an electronic policy based on the first-year gross premium and the non-first-year level premium and send it back to the client to complete the purchase of life insurance products.

[0018] To achieve the above objectives, a third aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the contents of the life insurance business processing method based on the subequilibrium gross premium actuarial algorithm described in the first aspect.

[0019] To achieve the above objectives, a fourth aspect of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the contents of the life insurance business processing method based on the subequilibrium gross premium actuarial algorithm described in the first aspect.

[0020] The embodiments of the present invention have the following beneficial effects: This invention provides a life insurance business processing method based on a subequilibrium gross premium actuarial algorithm. The method first receives a purchase request for a life insurance product from a client, which includes the product's insurance information, extension period, and the insured's policy information. Based on this information, the extension period, and the policy information, the subequilibrium gross premium actuarial algorithm is used to calculate the first-year gross premium and the non-first-year equilibrium gross premium. An electronic policy is generated based on the first-year and non-first-year equilibrium gross premiums and sent back to the client to complete the life insurance product purchase. By embedding an innovative subequilibrium gross premium actuarial algorithm into the life insurance business processing system, the entire process of life insurance product processing—from inputting and reading policy information parameters to establishing the actuarial model, outputting the conversion function calculation results, and generating the policy—is digitized and automated. The core invention is the segmented modeling of the first-year gross premium and the non-first-year equilibrium gross premium, implemented using program code. This eliminates the drawback of traditional algorithms that cannot guarantee the compliant provision of life insurance liability reserves and effectively reduces the policyholder's premium burden in subsequent years. This algorithm system is highly efficient, consumes minimal computing resources, and has low underwriting costs. Its online operation reduces the risk of policy information leakage. This invention is applicable to all life insurance products and can optimize their protection strategies, maximize insurance functions, and enable intelligent business operations. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] in: Figure 1 This is a flowchart illustrating the life insurance business processing method based on the subequilibrium gross premium actuarial algorithm in an embodiment of the present invention. Figure 2 This is a schematic diagram of the life insurance business processing device based on the subequilibrium gross premium actuarial algorithm in an embodiment of the present invention; Figure 3 This is a structural block diagram of a computer device in an embodiment of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Please see Figure 1 This is a flowchart illustrating the life insurance business processing method based on a subequilibrium gross premium actuarial algorithm in an embodiment of the present invention. The method includes: Step 101: Receive a life insurance product purchase request sent by the client. The purchase request shall include at least the insurance information corresponding to the life insurance product, the extension period, and the insured's insurance information. Step 102: Based on the insurance information, extension period, and insurance information, calculate the first-year gross premium and non-first-year equilibrium gross premium using the subequilibrium gross premium actuarial algorithm. Among them, the first year gross premium is the gross premium that the policyholder needs to pay in the first year of the extension period, and the non-first year level gross premium is the gross premium that the policyholder needs to pay in each of the subsequent years of the extension period excluding the first year. Step 103: Generate an electronic policy based on the first-year gross premium and the non-first-year level premium and send it to the client to complete the purchase of the life insurance product.

[0025] In this embodiment of the invention, the life insurance business processing method based on the subequilibrium gross premium actuarial algorithm is implemented by a life insurance product processing device. The processing device may be a program module stored in a storage medium. The processor may call the processing device from the storage medium to implement the life insurance business processing method based on the subequilibrium gross premium actuarial algorithm in this embodiment of the invention. The processing device may be part of the life insurance business processing system.

[0026] The life insurance business processing system is part of the life insurance business system. In addition to the life insurance business processing system, the life insurance business system also includes a client application, which can be an app. Policyholders can download and install the app on their mobile phones or computers, register a personal account, and log in to the app to view and purchase life insurance products on the life insurance business processing system.

[0027] In this embodiment of the invention, the policyholder generates a purchase request on the client side. This purchase request is sent by the client to the life insurance business processing system. The life insurance business processing system receives the purchase request for life insurance products sent by the policyholder through the client. The purchase request includes the insurance information of the life insurance product to be purchased by the policyholder, the extension period, and the insured's insurance information. It is understood that the policyholder and the insured can be the same person or different people.

[0028] Based on the insurance information, the extension period, and the insurance details, a preset sub-equilibrium gross premium actuarial algorithm can be used to calculate the first-year gross premium and the non-first-year equilibrium gross premium. The first-year gross premium is the gross premium that the policyholder needs to pay in the first year of the extension period, and the non-first-year equilibrium gross premium is the non-first-year equilibrium gross premium that the policyholder needs to pay in each of the subsequent years of the extension period, excluding the first year. For example, if a 45-year-old woman purchases a whole life annuity insurance policy with a 20-year extension period, the extension period is 20 years. The gross premium that needs to be paid in the first year of the full-term premium payment during the extension period is the first-year gross premium. The second to 20th years are the subsequent years, and the gross premium that needs to be paid in each year is the non-first-year equilibrium gross premium, which is the sub-equilibrium gross premium.

[0029] In this embodiment of the invention, the insurance information includes the actual annual insurance payout corresponding to the type of life insurance purchased by the user and the claim settlement fee ratio for the actual annual insurance payout, the number of annual payments of insurance payout during the annuity payment period, and other related expenses. Other related expenses include: the underwriting fee in the first year of the extension period, the annuity payment management fee paid by the policy according to the number of annual payments during the annuity payment period, the first rebate ratio of the commission paid to the salesperson in the first year of the extension period, the policy custody fee and the second rebate ratio of the commission paid to the salesperson in the annual renewal years of the extension period, and the insurance information includes at least the insured age.

[0030] To better understand the technical solution in this application, the following example illustrates the process: Ms. A, currently 45 years old, operates a client application to purchase insurance. The life insurance business processing system receives the purchase request sent by Ms. A through the client application. The insurance type in the purchase request is a whole life annuity pension insurance with a 20-year extension period. The insurance information also includes: the whole life annuity pension insurance she purchased will pay Ms. A 20,000 yuan annually through the annuity payout mechanism, meaning the actual annual payout is 20,000 yuan. The claim settlement ratio for the actual annual payout is 0.1%, and the annuity payment will be made twice a year during the annuity payment period. (Since the actual annual insurance payout is 20,000 yuan, it is paid twice a year, usually at the beginning and middle of the year, with each payment being 10,000 yuan.) In addition, the insurance information also includes other related fees, which include: an underwriting fee of 200 yuan in the first year of the extension period; a claims management fee of 20 yuan paid annually during the annuity payment period (twice a year, 10 yuan each time, totaling 20 yuan); a first rebate rate of 20% for the salesperson's commission in the first year of the extension period; and an annual policy custody fee of 20 yuan and a second rebate rate of 2% for the salesperson's commission in each subsequent year of the extension period. This is an introduction to the content of the insurance information based on the technical solution of this invention.

[0031] Based on the above information, including insurance information, extension period, and policy information, a sub-equilibrium gross premium actuarial algorithm is used to calculate the first-year gross premium and non-first-year equilibrium gross premium respectively. The specific steps are as follows: Step A1: Calculate the associated insurance benefit using the actual annual insurance payout, the claim settlement fee ratio, and the annuity claim management fee.

[0032] In one feasible implementation, the product of the actual annual insurance payout and the percentage of claims settlement fees can be used as the claims settlement fee, which is then added to the actual annual insurance payout and annuity claims management fees.

[0033] Taking the above case as an example, the related insurance payment = 20000 + 20000 * 0.1% + 20 = 20040.

[0034] Step A2: Calculate the first actuarial present value, the second actuarial present value, and the third actuarial present value using the insured age, the deferral period, and the number of payments per year.

[0035] The first actuarial present value can be calculated using the following formula:

[0036] The second actuarial present value is calculated using the following formula:

[0037] The formula for calculating the third actuarial present value is as follows:

[0038] in, , ; in, Represents the first actuarial present value. This represents the second actuarial present value. This represents the third actuarial present value, n represents the deferral period (which is also the premium payment period), and L represents the insured's age at the time of application. This indicates the pre-set maximum life expectancy of the insured. This is a conversion function representing the total life expectancy of the insured from the age at which the insurance was purchased to the maximum life expectancy. A conversion function representing the insured's age at the time of application. A conversion function representing the insured's age after completing the extended payment period. This represents the total conversion function from the start of the extended payment period to the maximum life expectancy of the insured, where i represents the preset annual interest rate, and m represents the number of payments per year during the annuity payout period. This indicates the number of insured persons aged L who are insured.

[0039] Wherein, the first actuarial present value is the actuarial present value of the policyholder paying premiums at the beginning of each year, paying one unit amount of premiums annually, and continuously paying premiums for the extended period, excluding the last year; the third actuarial present value is the actuarial present value of the deferred whole life annuity that the policyholder pays premiums at the end of each year, paying one unit amount of premiums annually, and continuously paying premiums for the extended period, excluding the last year; and the third actuarial present value is the actuarial present value of the deferred whole life annuity that the policyholder pays premiums at the beginning of each m equal periods after the extended period, paying one unit amount of premiums annually.

[0040] Taking Ms. A in the above case as an example, based on the content of Ms. A's description above, the first actuarial present value can be determined. This indicates the actuarial present value of a 45-year-old woman, Ms. A, who pays a unit premium at the beginning of each year during the deferral period for 20 consecutive years. The second actuarial present value is... This indicates that Ms. A, aged 45, pays a unit premium at the end of each year during the deferral period, for 19 consecutive years. The actuarial present value is the third actuarial present value. This refers to the actuarial present value of a deferred whole life annuity for 45-year-old Ms. A, which is deferred for 20 years and pays out equal amounts every six months (divided into two equal periods per year), with the total amount of the two payments per year being one unit.

[0041] The calculations for the first, second, and third actuarial present values ​​are as follows:

[0042]

[0043] Among them, calculation The annual interest rate is 4%, the insured's maximum life expectancy is 105 years, and n=20.

[0044] After obtaining the first, second, and third actuarial present values, you can proceed to step A3.

[0045] Step A3: Calculate the annual equilibrium premium based on the associated insurance proceeds, the third actuarial present value, and the first actuarial present value.

[0046] Specifically, the formula for the annual level premium is as follows:

[0047] Where C represents the annual level premium, P represents the associated insurance benefit, n represents the deferral period (which is also the premium payment period), L represents the insured's age at the time of application, and m represents the number of annuity payments per year during the annuity payout period. This represents the third actuarial present value. This represents the first actuarial present value.

[0048] Step A4: Based on the associated insurance benefit, the third actuarial present value, the annual level premium, the policy custody fee, the second rebate ratio, and the first actuarial present value, calculate the sub-level gross premium using the sub-level gross premium actuarial algorithm, and use this sub-level gross premium as the non-first-year level gross premium.

[0049] Step A5: Calculate the first year's gross premium based on the sub-equilibrium gross premium, the first year's underwriting cost, the first rebate ratio, and the annual equilibrium general pure premium.

[0050] Specifically, the actuarial algorithm for subequilibrium gross premium is as follows:

[0051] The gross premium for the first year is obtained using the following formula:

[0052] in, C represents the sub-equilibrium gross premium, P represents the annual equilibrium net premium, L represents the insured's age at the time of application, n represents the deferral period (which is also the premium payment period), m represents the number of annuity payments per year, b represents the policy custody fee for the extended years during the deferral period, and k represents the second rebate percentage. This represents the second actuarial present value. This represents the third actuarial present value. Y represents the gross premium for the first year, Y represents the underwriting cost for the first year, and R represents the first rebate percentage.

[0053] Taking Ms. A in the above case as an example, the annual level premium is calculated as follows:

[0054] The formula for subequilibrium gross premium is as follows:

[0055] Solving this formula, we can obtain:

[0056] Therefore, the sub-equilibrium gross premium is 8818.96, which is the non-first-year equilibrium gross premium.

[0057] The first year's gross premium is calculated as follows:

[0058] Therefore, the above formula can effectively calculate that if Ms. A purchases a whole life annuity pension insurance with an annual actual payout of 20,000 yuan and a 20-year extension, the gross premium payable in the first year of the 20-year extension period (at the time of insurance purchase) is 10,586.37 yuan, and the annual gross premium payable in other subsequent years is 8,818.96 yuan. This is not an absolutely balanced payment method. Therefore, the inventor calls the above formula the sub-equilibrium gross premium actuarial algorithm.

[0059] In this embodiment of the invention, after calculating the first-year gross premium and the non-first-year level gross premium, the life insurance business processing system will generate an insurance policy based on the first-year gross premium and the non-first-year level gross premium, and send the policy back to the client. After receiving the policy, the client will display the policy information on the display interface. The policy information includes the aforementioned first-year gross premium and non-first-year level gross premium, so that the policyholder can clearly understand how much they need to pay each year if they purchase a life insurance policy. In addition, the policy information may also include the insured's personal information, such as name, age, ID card number, gender, etc. Furthermore, it may include the specific details of the life insurance policy to be purchased, so that the policyholder can further confirm whether they want to purchase the corresponding life insurance product by browsing the displayed policy. If they want to purchase, the policyholder can click the payment button on the interface to complete the payment of the first-year gross premium and realize the purchase of the life insurance product.

[0060] It should be noted that in the above method, the parameter required in calculating the first, second, and third actuarial present values ​​is the number of insured individuals aged L. To ensure high accuracy of the calculated actuarial present values, the actuarial present values ​​can also be calculated as follows: Specifically, the above-mentioned "calculating the first, second, and third actuarial present values ​​based on the insured's age, deferral period, and annual payment frequency" includes: Step B1: Confirm the age range using the insured age and the preset maximum lifespan age. The lower limit of the age range is the insured age, and the upper limit of the age range is the maximum lifespan age. Step B2: Send a data retrieval request to the insurance data management server. The data retrieval request must include at least the age range. The insurance data management server is used to find the insured's personal information, determine the number of insured persons in each age range, and feed back the number of insured persons in each age range to the life insurance business processing system. Step B3: Receive the number of insured persons for each age group, and calculate the first actuarial present value, the second actuarial present value, and the third actuarial present value based on the number of insured persons for each age group, the insured age, the extension period, and the number of payments per year.

[0061] In this embodiment of the invention, the life insurance business system also includes an insurance data management server, which is used to store the insured's personal information, policy information, claims information, etc.

[0062] When the life insurance business processing system needs to obtain the number of insured persons of each age, it can use the insured age and the preset maximum lifespan age to determine the age range. The lower limit of the age range is the insured age, and the upper limit is the maximum lifespan age. For example, if the insured age is 45 years old and the maximum lifespan age is 105 years old, then the age range is [45, 105].

[0063] After obtaining the age range, the life insurance business processing system will send a data retrieval request to the insurance data management server. This request must include at least the aforementioned age range. Upon receiving the request, the insurance data management server will search for the insured's personal information, specifically their age, and count the number of people belonging to each age group. This will determine the number of insured individuals within that age range, and the server will then return this number of insured individuals to the life insurance business processing system. For example, within the aforementioned age range, the system might find that there are 200,000 insured individuals aged 45, 190,000 aged 46, ..., and 18 insured individuals aged 105, etc.

[0064] After obtaining the number of insured persons for each age group, the insurance data management server feeds this information back to the life insurance business processing system. The life insurance business processing system receives this information and calculates the first actuarial present value, the second actuarial present value, and the third actuarial present value using the aforementioned calculation formulas based on the number of insured persons for each age group, the insured age, the extension period, and the number of payments per year.

[0065] In this embodiment of the invention, during the interaction between the life insurance business processing system and the insured's client, the system can obtain the number of insured persons at each age determined based on the insured's insured age by sending a data acquisition request to the insurance data management server. This allows for a more accurate calculation of the first actuarial present value, the second actuarial present value, and the third actuarial present value, ensuring the accuracy of the calculation when using the first, second, and third actuarial present values ​​to calculate the first-year gross premium and the non-first-year level premium.

[0066] In this embodiment of the invention, after the insured completes the purchase of a life insurance product on the client, the purchase information will be fed back to the life insurance business processing system. The life insurance business processing system will generate the relevant policy and send the policy to the insurance data management server, so that the relevant policy information can be found from the insurance data management server.

[0067] However, considering the risk of policy tampering if policies are only stored on a data management server platform, potentially leading to losses for the insured and disputes between the insurance company and the insured, the life insurance business processing system, in addition to sending policies to the insurance data management server for storage, can also upload policies to the blockchain to monitor their execution. This prevents information tampering and also serves as evidence in case of disputes. Specifically, this includes: Step C1: After detecting that the policyholder has completed the purchase, generate a policy timeline that includes payment and annuity payment nodes, and upload the policy timeline to the blockchain in the form of a transaction chain; Step C2: When payment or payment is detected as completed, the corresponding completion information will be recorded on the blockchain and associated with the policy timeline, thereby realizing on-chain intelligent management of insurance transactions.

[0068] In this embodiment of the invention, when the insured completes a purchase, a policy timeline is generated. This timeline includes time nodes matching the payment and annuity payment items related to the policy. A food chain is generated based on this timeline and the policy, and the transaction chain is uploaded to the blockchain. If a completed item corresponding to the payment or annuity payment item of the policy is detected, the completed item and its completion time are uploaded to the blockchain and associated with the time node corresponding to the payment or annuity payment item in the transaction chain to determine whether the item has been completed and whether it was completed before or after the time node. For example, if Ms. A purchases a 10-year deferred premium policy on December 12, 2025, with annual premium payments and the option to receive an annual benefit for 5 consecutive years after the 10-year payment period, a corresponding policy will be generated. A timeline will be created according to the preset annual premium payment schedule, including payment dates from years 25 to 35 and annuity payment dates from years 36 to 41. This timeline and the policy will be linked to a transaction chain and uploaded to the blockchain. If Ms. A pays the 26-year premium on the client-side on December 1, 2026, the life insurance business processing system will generate a completion event. This completion event will include the premium amount and payment date, and will be uploaded to the blockchain along with the completion date. The blockchain will then locate the corresponding transaction. The blockchain is used to track the payment and annuity payment dates of insurance policies. It identifies the original time nodes for matching payment items within these chains and inserts these completed items into the new time nodes in chronological order. These new time nodes are then bound to the original time nodes. This method allows for the tracking of policy payment and annuity payment dates. Furthermore, the timeline helps determine whether payments were made before or after the corresponding time nodes, ensuring accurate tracking of policy events. Since each policy event node contains the policy itself, tampering with policy information and time nodes is prevented. This makes the blockchain's transaction chains effective evidence in case of disputes.

[0069] It should be noted that in existing technologies, all life insurance and annuity insurance premium payment businesses use a level premium calculation and payment method, where "level" means equal payments in each period. Since the actual cost of life insurance products is higher in the initial year than in subsequent years, the excess must be evenly distributed across the additional premiums paid in each period. This results in the actual liability reserve being lower than the theoretical liability reserve (life insurance payout reserve) in the first few periods of the insurance period. Since the actual liability reserve cannot be lower than the theoretical liability reserve is the minimum requirement for life insurance companies to meet solvency requirements, this undoubtedly shows that the level premium payment method and the corresponding actual liability reserve calculation method fail to effectively manage and reduce the solvency risk of life insurance companies. Furthermore, other calculation methods suffer from complex calculation processes, high computational resource consumption, and low computational efficiency.

[0070] To address the drawbacks of low risk and inefficiency, the inventors of this application have creatively proposed a method for calculating gross premiums by purchasing insurance online and using a subequilibrium gross premium actuarial algorithm. This breaks the limitation of strictly equal payments in each period, allowing the gross premium paid in the first year to be higher than the gross premiums in subsequent periods. It is no longer absolutely balanced, but rather in a subequilibrium state. Using the aforementioned subequilibrium gross premium actuarial algorithm ensures that the subequilibrium gross premium of various life insurance policies (including annuity insurance) is always lower than the corresponding (equal to the same type of insurance) equilibrium gross premium after the first insurance period. This is a beneficial conclusion for policyholders. More importantly, this innovative method of paying gross premiums based on subequilibrium gross premiums ensures that the actual liability reserves are greater than the theoretical liability reserves (life insurance claims liability reserves) at any time during the insurance period. The actual liability reserves being greater than the theoretical liability reserves is a necessary requirement for the solvency of life insurance companies, thus reducing the solvency risk of insurance companies and meeting the relevant requirements of insurance industry regulations.

[0071] In this embodiment of the invention, by embedding an innovative sub-equilibrium gross premium actuarial algorithm into the life insurance business processing system, the entire process of life insurance product development—from inputting and reading policyholder information parameters to establishing actuarial models, outputting conversion function calculation results, and generating policies—is digitized and automated. Its core invention is to segment and model the first-year gross premium and the non-first-year equilibrium gross premium separately, and implement this using program code. This eliminates the drawback of traditional algorithms that cannot guarantee the compliant provision of life insurance liability reserves, and effectively reduces the premium burden on policyholders in subsequent years. This algorithm system is highly efficient, consumes few computing resources, and has low underwriting costs. Online operation reduces the risk of policy information leakage. This invention is applicable to all life insurance products and can optimize their protection strategies, maximize insurance functions, and intelligently operate their business.

[0072] To better illustrate the advantages of using the sub-equilibrium gross premium actuarial algorithm, the following data compares the sub-equilibrium gross premium actuarial algorithm with the traditional equilibrium gross premium algorithm. For the traditional equilibrium gross premium algorithm, the annual equilibrium gross premium in this example is 8950.07 yuan, while the innovative sub-equilibrium gross premium actuarial algorithm yields an annual sub-equilibrium gross premium of 8818.96 yuan. This demonstrates that paying premiums using the sub-equilibrium gross premium method can indeed reduce the premium burden on policyholders in non-first-year periods to a certain extent. The comparison of liability reserves is shown in the table below:

[0073] As can be seen from the table above, the actual liability reserves at the end of the 10th and 15th years after the policy was issued (which can be assumed to be the case for the previous 15 years) obtained using the balanced gross premium actuarial algorithm are both less than the theoretical liability reserves at the end of the 10th and 15th years after the policy was issued (which can be assumed to be the case for the previous 15 years). This does not meet the requirements, that is, it does not meet the requirements of relevant insurance laws and regulations and insurance regulatory authorities, which leads to a decrease in the solvency of the insurance company and poses a risk. On the other hand, the actual liability reserves at the end of the 10th and 15th years after the policy was issued (which can be assumed to be the case for the previous 15 years) obtained using the sub-equilibrium gross premium actuarial algorithm are greater than the theoretical liability reserves at the end of the 10th and 15th years after the policy was issued (which can be assumed to be the case for the previous 15 years), and both meet the requirements (which can be assumed to be the case for the previous 15 years), thus avoiding the risk of a potential decrease in solvency.

[0074] Please see Figure 2 This is a schematic diagram of a life insurance business processing device based on a subequilibrium gross premium actuarial algorithm according to an embodiment of the present invention. The device includes: The receiving module 201 is used to receive a life insurance product purchase request sent by the client. The purchase request includes at least the insurance information corresponding to the life insurance product, the extension period, and the insured's insurance information. Calculation module 202 is used to calculate the first-year gross premium and non-first-year equilibrium gross premium respectively based on the insurance information, extension period and insurance information, using a subequilibrium gross premium actuarial algorithm; The generation module 203 is used to generate an electronic policy based on the first-year gross premium and the non-first-year level premium and send it back to the client to complete the purchase of life insurance products.

[0075] In this embodiment of the invention, the receiving module 201 receives a life insurance product purchase request sent by the client. The purchase request includes at least the insurance information corresponding to the life insurance product, the extension period, and the insured's insurance information. The calculation module 202 calculates the first-year gross premium and the non-first-year equilibrium gross premium using a subequilibrium gross premium actuarial algorithm based on the insurance information, extension period, and insurance information. The generation module 203 generates an electronic policy based on the first-year gross premium and the non-first-year equilibrium gross premium and sends it back to the client to complete the purchase of the life insurance product. By embedding an innovative subequilibrium gross premium actuarial algorithm into the life insurance business processing system, the entire process of life insurance product digitalization and automation is achieved, from the input and reading of insurance information parameters to the establishment of actuarial models and the output of conversion function calculation results, and the generation of policies. Its core invention is to model the first-year gross premium and the non-first-year equilibrium gross premium in segments and implement it using program code. This eliminates the drawback of traditional algorithms that cannot guarantee the compliant provision of life insurance liability reserves and effectively reduces the premium burden on policyholders in subsequent years. This algorithm system is highly efficient, consumes few computing resources, and has low underwriting costs. By operating online, it can reduce the risk of policy information leakage.

[0076] Figure 3 An internal structural diagram of a computer device in one embodiment is shown. This computer device can specifically be a terminal or a server. Figure 3 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and may also store a computer program. When executed by the processor, this computer program causes the processor to perform the steps in the above-described method embodiments. The internal memory may also store a computer program, which, when executed by the processor, causes the processor to perform the steps in the above-described method embodiments. Those skilled in the art will understand that... Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0077] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the contents of the life insurance business processing method based on the subequilibrium gross premium actuarial algorithm described above.

[0078] In one embodiment, a computer-readable storage medium is provided, storing a computer program that, when executed by a processor, causes the processor to perform the contents of the life insurance business processing method based on the subequilibrium gross premium actuarial algorithm described above.

[0079] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0080] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0081] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application's patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application.

Claims

1. A life insurance business processing method based on a sub-equilibrium gross premium calculation algorithm, characterized by, The method includes: Receive a life insurance product purchase request sent by a client. The purchase request includes at least the insurance information corresponding to the life insurance product, the extension period, and the insured's insurance information. Based on the aforementioned insurance information, extension period, and insurance information, the first-year gross premium and non-first-year equilibrium gross premium are calculated using a subequilibrium gross premium actuarial algorithm. An electronic policy is generated based on the first-year gross premium and the non-first-year level premium and sent to the client to complete the purchase of the life insurance product.

2. The method according to claim 1, characterized in that, The subequilibrium gross premium actuarial algorithm is used to perform differentiated calculations on the first-year gross premium and the renewal gross premium, provided that the life insurance liability reserve requirements are met.

3. The method according to claim 2, characterized in that: The sub-equilibrium gross premium actuarial algorithm is as follows: The first-year gross premium is obtained using the following formula: in, C represents the sub-equilibrium gross premium, P represents the annual equilibrium net premium, and L represents the associated insurance benefit, which is the sum of the actual insurance benefit paid each year, claims processing fees, and annuity claims management fees. The n represents the insured's age at the time of application, the n represents the extension period (which is also the premium payment period), the m represents the number of annuity payments per year during the annuity payment period, the b represents the annual policy custody fee for the extended year during the extension period, and k represents the second rebate percentage. This represents the second actuarial present value. This represents the third actuarial present value. Y represents the first year's gross premium, Y represents the first year's underwriting cost, and R represents the first rebate percentage. Wherein, the second actuarial present value is the actuarial present value of the policyholder paying premiums once a year at the end of each year, paying one unit amount of premiums annually, continuously paying the deferred period, excluding the last year; the third actuarial present value is the actuarial present value of the policyholder's deferred whole life annuity after the deferred period is insured, divided into m equal periods each year, paid once at the beginning of each period, with a total of one unit amount paid annually.

4. The method according to claim 2, characterized in that, The formula for the annual level premium is as follows: Where C represents the annual level premium, P represents the associated insurance benefit, n represents the deferral period (which is also the premium payment period), L represents the insured's age at the time of application, and m represents the number of annuity payments per year during the annuity payout period. This represents the third actuarial present value. This represents the first actuarial present value. The first actuarial present value is the actuarial present value calculated by the policyholder based on annual premium payments made at the beginning of each year, with a unit amount of premium paid annually, and the continuous payment of premiums for an extended period.

5. The method according to claim 2, characterized in that, The method further includes: setting an age range based on the insured age and a preset maximum lifespan age, obtaining data on the number of insured persons in the corresponding age range, and using the insured age, extension period, and number of payments per year to calculate the first actuarial present value, the second actuarial present value, and the third actuarial present value, thereby realizing the intelligentization of the actuarial process.

6. The method according to claim 2, characterized in that, The first actuarial present value is calculated using the following formula: The second actuarial present value is calculated using the following formula: The formula for calculating the third actuarial present value is as follows: The following formula is used: The following formula is used: ； in, Represents the first actuarial present value. This represents the second actuarial present value. This represents the third actuarial present value, n represents the deferral period (which is also the premium payment period), and L represents the insured's age at the time of application. This indicates the pre-set maximum life expectancy of the insured. This represents the total conversion function from the insured's age at the time of application to their maximum life expectancy. A conversion function representing the insured's age at the time of application. A conversion function representing the insured's age after completing the extended payment period. This represents the total conversion function from the start of the extended payment period to the maximum life expectancy of the insured, where i represents the preset annual interest rate, and m represents the number of payments per year during the annuity payout period. This indicates the number of insured persons aged L who are insured.

7. The method according to claim 1, characterized in that, The method further includes: After detecting that the policyholder has completed the purchase, a policy timeline containing payment and annuity payment nodes is generated, and the policy timeline is uploaded to the blockchain in the form of a transaction chain. When a payment is detected as completed, the corresponding completion information will be recorded on the blockchain and linked to the policy timeline, thereby enabling on-chain intelligent management of insurance transactions.

8. A life insurance business processing device based on a subequilibrium gross premium actuarial algorithm, characterized in that, The device includes: The receiving module is used to receive life insurance product purchase requests sent by the client. The purchase request includes at least the insurance information corresponding to the life insurance product, the extension period, and the insured's insurance information. The calculation module is used to calculate the first-year gross premium and the non-first-year equilibrium gross premium respectively based on the insurance information, the extension period and the insurance information, using the subequilibrium gross premium actuarial algorithm. The generation module is used to generate an electronic policy based on the first-year gross premium and the non-first-year level premium and send it back to the client to complete the purchase of life insurance products.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it causes the processor to perform the steps of the method as described in any one of claims 1 to 7.

10. A computer, comprising a memory and a processor, characterized in that, The memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the method as described in any one of claims 1 to 7.

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