Value dual-circulation system and method based on data contribution quantization

Abstract

The invention discloses a value dual-circulation system and method based on data contribution quantification, and belongs to the technical field of digital economy and distributed systems. The system comprises a contribution evaluation engine used for quantifying user native data, derivative data and generated content into value points based on verifiable evaluation rules; the internal circulation token issuer is used for issuing an ecological contribution token to the user according to the value points; the combustion re-investment coordinator is used for executing destruction during token consumption and transferring part of value to an ecological development fund; and the external circulation anchor is used for maintaining the value stability of an anchoring stability token hooked with an external value system by utilizing the fund. According to the method, the technical problems that the data contribution is difficult to measure and the economic model is single and unsustainable are solved by constructing a contribution quantification and double-circulation value anchoring mechanism.

Description

Technical Field

[0001] This invention relates to the fields of digital economics, distributed systems and token engineering, and in particular to an economic system and method based on the quantification of user data contributions and the dual-circulation value anchoring. Background Technology

[0002] When building an advanced digital ecosystem that integrates perception, cognition, decision-making, and governance, the technological closed loop must be compatible with a sustainable economic closed loop. However, existing economic models struggle to support such a complex ecosystem, presenting the following core technological challenges: The lack of a value measurement mechanism is a significant issue. The value created within the ecosystem is diverse and sophisticated, systematically embedded in native user data (such as behavioral sequences and subjective reports), user-derived data generated by system computation (such as state prediction indicators based on spatiotemporal relative phase mapping and structured cognitive tags obtained through mapping user states with structured situational tags), user-generated content, and system interaction data generated during governance. Existing economic models lack a verifiable and automated rule engine, making it impossible to reliably and accurately quantify these complex, heterogeneous, and non-standardized contributions, resulting in a severe disconnect between value creation and returns.

[0003] The existing token economic models are often rigid and singular, relying heavily on a single value cycle. They either circulate only within the system without a stable external value anchor, or their value depends entirely on external market speculation, resulting in drastic fluctuations. The lack of a flexible dual-cycle structure that organically connects internal and external values ​​and can self-regulate and balance according to the stage of ecosystem development prevents the formation of an endogenous and stable flywheel of value growth.

[0004] Incentive systems are decoupled from the quality of contributions: Simple point or reward models cannot distinguish between the intrinsic quality and long-term value of contributions, which can easily induce short-term behaviors such as fraud and order-brushing. They cannot automatically and accurately incentivize high-quality data contributions that have long-term positive externalities to the health of the ecosystem, thereby damaging the sustainable development of the ecosystem.

[0005] Therefore, there is an urgent need in this field for a technical solution that can reliably quantify the contributions of the aforementioned multi-source heterogeneous data and construct a dual-circulation economic infrastructure that connects internal and external values ​​and is self-sustaining and balanced. Summary of the Invention

[0006] (a) Purpose of the invention The purpose of this invention is to overcome the shortcomings of the prior art and provide a value dual-circulation system and method based on data contribution quantification, so as to solve the technical problems of the difficulty in reliably quantifying the contribution of multi-source heterogeneous user data and the lack of endogenous sustainability of the economic system.

[0007] (II) Technical Solution To achieve the above-mentioned objectives, the present invention adopts the following technical solution: a value dual-circulation system based on data contribution quantification, comprising a contribution evaluation engine, an inner-circulation token issuer, a burning reinvestment coordinator, and an outer-circulation anchor; the contribution evaluation engine is used to quantify user native data, derived data, and generated content into standardized value points; the inner-circulation token issuer is used to issue internal ecosystem contribution tokens based on value points; the burning reinvestment coordinator is used to perform destruction during token consumption and transfer a portion of the value to the ecosystem development fund; the outer-circulation anchor is used to maintain the value stability of the anchored stable token using the fund.

[0008] A value dual-cycle method based on data contribution quantification includes: receiving user native data, derived data, and generated content and quantifying them into value points; issuing ecosystem contribution tokens to users based on the value points; destroying the tokens when they are consumed and transferring a portion of their value to an ecosystem development fund; and using the fund to maintain the anchoring relationship between the anchored stable token and the external value system.

[0009] (III) Beneficial Effects Compared with the prior art, the present invention has the following beneficial effects: The contribution of unstructured user data was reliably quantified through verifiable evaluation rules.

[0010] A self-balancing economic ecosystem is built by the mutual support between the "issuance-consumption-burning-reinvestment" cycle of internal tokens and the anchoring cycle of externally anchored stable tokens.

[0011] It provides economic infrastructure that can be integrated with various digital ecosystems, forming a complete technology-economic closed loop. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the system module composition provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the dual-circulation economic model provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the method flow provided in an embodiment of the present invention. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0014] Example 1: Basic Structure and Flow of the System See Figure 1 and Figure 3 The system and method operation flow provided in this embodiment of the invention is as follows: Step S401: Quantify contribution.

[0015] Users submit their data contributions via the client, such as a complete, system-verified "state calibration" record. The contribution evaluation engine receives this data and evaluates it using its internally defined, verifiable rules. These rules comprehensively consider multiple dimensions, including data uniqueness, completeness, verification cost, and potential positive externalities to the ecosystem, ultimately outputting a standardized value point. The entire process generates auditable proofs using cryptographic techniques.

[0016] Step S402: Issuance of internal circulation tokens.

[0017] The internal circulation token issuer (e.g., based on a blockchain smart contract) mints and distributes a corresponding number of ecosystem contribution tokens in the user's blockchain address according to the value points generated in step S401, using a preset, public mapping function configured to adjust the token issuance rate to prevent early contributors from over-concentrating ecosystem resources.

[0018] Step S403: Token Consumption and Value Cycle.

[0019] When a user uses a service within the ecosystem contribution token payment system (such as calling advanced AI analytics), the Burn Reinvestment Coordinator (implemented by a smart contract) is triggered. It performs the following actions: Destruction: Permanently removing tokens used for payments from circulation, creating deflationary pressure.

[0020] Reinvestment: A portion of the value represented by this consumption will be automatically transferred to the ecosystem development fund according to the pre-set distribution rules in the smart contract.

[0021] Step S404: External circulation value anchoring.

[0022] The external circulation anchor manages the ecosystem development fund and maintains a stable exchange rate between ecosystem contribution tokens and pegged stable tokens in the open market through mechanisms such as automated market makers. The pegged stable tokens are linked to external value assets such as the US dollar, providing users with a reliable channel to transfer value from within the ecosystem to the outside world.

[0023] Example 2: System Performance Verification To verify the effectiveness of this economic model, it was validated through simulation.

[0024] Experimental setup: Duration: 90-day simulation run.

[0025] Key observation indicators: value stability of the internal circulation token and growth rate of the ecological development fund.

[0026] Experimental results: At the end of the simulation period, the price volatility of the circulating token within this system was 12%, and the growth rate of the ecological development fund was 182%.

[0027] Experimental conclusion: Data shows that the present invention effectively maintains the value stability of the internal circulation token through the "destruction and reinvestment" mechanism, and drives the continuous growth of the ecological fund through the dual circulation design, thus verifying the endogenous sustainability of the economic model.

[0028] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A value dual-circulation system based on data contribution quantification, characterized in that, include: The contribution evaluation engine is configured to receive user data contributions and output standardized value points based on predefined verifiable evaluation rules. An internal circulation token issuer is configured to issue ecosystem contribution tokens to users based on the value points, which are used for the exchange and governance of services within the ecosystem. The burn reinvestment coordinator is configured to perform a token burn operation when the eco contribution token is consumed and transfer a portion of the value represented by the burn to an eco development fund; The external circulation anchor is configured to utilize the aforementioned ecological development fund to maintain the value stability of an anchored stable token linked to an external value system.

2. The system according to claim 1, characterized in that, The user data contribution includes one or more of the following: user status data, user behavior sequence data, and user-generated content data.

3. The system according to claim 1, characterized in that, The verifiable evaluation rules include multi-dimensional quantitative evaluation based on predefined algorithms and integrate anti-fraud verification mechanisms.

4. The system according to claim 1, characterized in that, The mapping from value points to ecological contribution tokens uses a non-linear transformation function.

5. The system according to claim 1, characterized in that, The combustion reinvestment coordinator is implemented by a smart contract.

6. The system according to claim 1, characterized in that, The external circulation anchor manages the exchange rate between the ecosystem contribution token and the anchored stable token through an automated market maker mechanism.

7. A value dual-cycle method based on data contribution quantification, characterized in that, include: Step S401: Receive user native data, derived data and generated content, and quantify them into standardized value points based on predefined verifiable evaluation rules; Step S402: Issue ecosystem contribution tokens to users based on the value points; Step S403: In response to the user's request to consume the ecological contribution token, perform a token destruction operation and transfer a portion of the value represented by the destroyed token to the ecological development fund; Step S404: Utilize the aforementioned ecological development fund to maintain the anchoring relationship between an anchored stable token and an external value system.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method as described in claim 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in claim 7.

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