A financial data management system based on big data

Abstract

The present invention relates to the field of financial management technology, specifically a financial data management system based on big data, including a model lightweight unit, a data interaction unit, a report generation and merging unit, a procurement management unit, a three-dimensional visualization unit and a supply chain pricing unit, and also includes: an asset modeling unit, the asset modeling unit is used to perform BIM modeling on the assets of the target area through BIM technology, thereby obtaining an asset BIM model, and transmitting the asset BIM model to a model integration unit. The present invention uses the BIM technology to model the assets of the target area through the asset modeling unit, which can achieve accurate description and visual display of the assets, improve the accuracy and efficiency of asset management, integrate the asset BIM model through the model integration unit, and obtain an asset scenario model, which can comprehensively display the relative position relationship of different assets in the target area.

Description

Technical Field

[0001] The present invention relates to the technical field of financial management, and in particular to a financial data management system based on big data. Background Art

[0002] Financial data refers to various data related to a company's finances, including but not limited to balance sheets, income statements, cash flow statements, cost data, sales data, investment data, asset data, etc. These data have a significant impact on the company's financial status, operating performance and future development, and are an important basis for corporate management and decision-making.

[0003] Traditional financial data management systems usually require manual recording of asset information and status. This data update method is inefficient and prone to errors. Traditional financial data management systems usually process data manually, which wastes a lot of time and human resources. Traditional financial data management systems usually only provide simple tables and reports, which make it difficult to intuitively display asset information and status. Traditional financial data management systems usually require multiple manual data entry, query and update of asset information. The operation process is cumbersome and prone to errors. Finally, traditional financial data management systems can usually only provide basic risk assessments, making it difficult to comprehensively assess the risks faced by assets and make corresponding decisions. Summary of the invention

[0004] The purpose of the present invention is to propose a financial data management system based on big data in response to the problems existing in the background technology.

[0005] The technical solution of the present invention is a financial data management system based on big data, including a model lightweight unit, a data interaction unit, a report generation and merging unit, a procurement management unit, a three-dimensional visualization unit and a supply chain pricing unit, and also includes:

[0006] An asset modeling unit, the asset modeling unit is used to perform BIM modeling on the assets in the target area by using BIM technology, thereby obtaining an asset BIM model, and transmitting the asset BIM model to the model integration unit;

[0007] A model integration unit, wherein the model integration unit receives the asset BIM model transmitted by the asset modeling unit, integrates the asset BIM model according to the relative position of the asset in the target area, thereby obtaining an asset scenario model, and transmits the asset scenario model to the dynamic update unit;

[0008] A dynamic sensing unit, the dynamic sensing unit is used to record the basic information and historical operations of the asset through RFID technology, so as to obtain asset information, the historical operations include asset transfer, recovery, transfer, return and repair, and calculate the dynamic depreciation of the asset based on the asset information, and transmit the asset information and the dynamic depreciation to the dynamic update unit;

[0009] A dynamic update unit receives the asset scenario model transmitted by the model integration unit and the asset information and the dynamic depreciation transmitted by the dynamic perception unit, sets a dynamic update cycle for the asset scenario model, combines the asset information and the dynamic depreciation with the corresponding asset BIM model in the asset scenario model, thereby obtaining an asset dynamic scenario model, and transmits the asset dynamic scenario model to the model lightweight unit.

[0010] Preferably, the model lightweight unit receives the asset dynamic scene model transmitted by the dynamic update unit, and lightweights the asset dynamic scene model through a model lightweight method to obtain a lightweight asset dynamic scene model, and transmits the lightweight asset dynamic scene model to the data interaction unit and the three-dimensional visualization unit.

[0011] Preferably, the data interaction unit receives the lightweight asset dynamic scenario model transmitted by the model lightweight unit, and receives the retrieval request of the target user, and displays the corresponding asset BIM model and the corresponding asset information and the dynamic depreciation in the lightweight asset dynamic scenario model according to the retrieval request of the target user, and records the display results to obtain the retrieval results, and transmits the retrieval results to the report generation and merging unit.

[0012] Preferably, the report generation merging unit receives the retrieval results transmitted by the data interaction unit, and obtains the asset BIM model image based on the retrieval results, and obtains the asset information corresponding to the asset BIM model and the dynamic depreciation, and merges the asset BIM model image with the asset information corresponding to the asset BIM model and the dynamic depreciation in a table to obtain an asset report, and transmits the asset report to the three-dimensional visualization unit.

[0013] Preferably, the procurement management unit is used to construct a cash management model based on the enterprise financial data, determine the probability that the target contract will not be able to repay the debt in cash when the contract expires based on the cash management model, and match the probability of not being able to repay the debt in cash with a preset probability threshold table to obtain the risk level corresponding to the target contract, and transmit the target contract and the corresponding risk level to the three-dimensional visualization unit.

[0014] Preferably, the supply chain pricing unit is used to build a supply chain pricing model based on enterprise financial data and sales data, predict the offline sales volume of assets by retailers and the online direct sales volume of wholesalers through the supply chain pricing model, and transmit the offline sales volume of assets by retailers and the online direct sales volume of wholesalers to the three-dimensional visualization unit.

[0015] Preferably, the three-dimensional visualization unit receives the asset report transmitted by the report generation and merging unit, the target contract and the corresponding risk level transmitted by the procurement management unit, the lightweight asset dynamic scenario model transmitted by the model lightweight unit, and the offline sales volume of the asset by retailers and the online direct sales volume of the asset by wholesalers transmitted by the supply chain pricing unit, and displays the lightweight asset dynamic scene in the center of the smart terminal, hides the target contract and the corresponding risk level, the asset report, and the offline sales volume of the asset by retailers and the online direct sales volume of the asset by wholesalers in the lightweight asset dynamic scene, and when the target user clicks on the corresponding asset BIM model in the lightweight asset dynamic scene, the target contract, the risk level of the target contract, the asset report, and the offline sales volume of the asset by retailers and the online direct sales volume of the asset by wholesalers corresponding to the asset BIM model pop up.

[0016] Preferably, the calculation formula of the dynamic depreciation of the asset is as follows:

[0017] ;

[0018] in, represents the dynamic impairment of the asset in question, It represents the area coefficient of the bottom surface of the transport vehicle compartment. Indicates the number of asset stacking layers. represents the vibration acceleration of the transport vehicle, represents a constant coefficient greater than 0, and The influencing factor is the packaging of assets. The value of the constant coefficient varies according to the experimental data of different assets. Indicates the transportation time, Represents the time sensitivity factor of vibration damage.

[0019] Preferably, the model lightweighting method comprises the following steps:

[0020] A1. Convert the asset dynamic scene model into an IFC standard format, thereby obtaining an IFC standard file;

[0021] A2. Associating various building components in the IFC standard file with their geometric information and semantic information, and converting the IFC standard file associated with the geometric information and semantic information into a JSON file;

[0022] A3, converting the IFC standard file into an OBJ format file, and converting the OBJ format file into a glTF format file through coordinate conversion, construction of spatial index and level division of LOD;

[0023] A4. Compress the glTF format file through the Draco encoder to obtain a compressed glTF format file, and encapsulate the compressed glTF format file and the JSON file to obtain a slice data file in 3D Tiles format;

[0024] A5. Calculate the screen space error of the slice data file in the 3D Tiles format, and compare the screen space error with a preset maximum screen space error. The screen space error calculation formula is as follows:

[0025] ;

[0026] in, represents the screen space error, represents the geometric error, Represents the underlying parameters of WebGL. Indicates the distance of the camera, Indicates the camera's field of view;

[0027] A6. If the screen space error is less than the preset maximum screen space error, the slice data file in the 3D Tiles format is not rendered with precision; otherwise, higher resolution tiles are continuously loaded to render the slice data file in the 3D Tiles format with precision until the maximum screen space error requirement is met.

[0028] Preferably, the cash management model is as follows:

[0029] ;

[0030] in, represents the probability that the target contract cannot repay the debt in cash when the contract expires. represents the cash debt service level, represents the target contract signing price, Represents the cash balance of the enterprise. represents the drift rate of the asset in question, represents the target contract performance period, Represents the volatility of the asset in question.

[0031] Compared with the prior art, the above technical solution of the present invention has the following beneficial technical effects:

[0032] 1. The present invention uses BIM technology to model the assets in the target area through the asset modeling unit, which can achieve accurate description and visual display of the assets, improve the accuracy and efficiency of asset management, integrate the asset BIM model through the model integration unit to obtain the asset scene model, which can comprehensively display the relative position relationship of different assets in the target area, and provide a basis for subsequent data update and analysis. The dynamic perception unit uses RFID technology to record the basic information and historical operations of the assets, obtain asset information and calculate dynamic depreciation, so as to understand the asset status and value changes in real time, which is helpful to make more accurate decisions. The dynamic update unit receives the asset scene model, asset information, dynamic depreciation and other data, and performs periodic dynamic updates to generate an asset dynamic scene model, which can maintain the real-time nature of the asset data and help enterprises to understand and respond to asset changes in a timely manner. The model lightweight unit performs lightweight processing on the asset dynamic scene model, reduces the complexity and storage space of the model, improves the efficiency of data transmission and processing, and reduces the system load.

[0033] 2. The data interaction unit of the present invention receives the lightweight asset dynamic scenario model and user search request, displays the corresponding asset BIM model, asset information, dynamic depreciation and other data, and provides an intuitive interface for users to review and analyze. The report generation and merging unit generates an asset report based on the asset BIM model image, asset information, dynamic depreciation and other data, so as to facilitate the enterprise to analyze financial data and support decisions. The procurement management unit builds a cash management model to evaluate the probability that the target contract cannot repay the debt in cash, and classifies the risk level according to the probability threshold to provide a reference for the enterprise's procurement decision. The three-dimensional visualization unit receives asset reports, target contracts and risk levels, lightweight asset dynamic scenario models, sales data and other information, displays the asset dynamic scene in a three-dimensional visualization manner, and provides a comprehensive data display and analysis platform. The supply chain pricing unit builds a supply chain pricing model to predict the offline sales volume of retailers and the online direct sales volume of wholesalers of assets, so as to provide a decision-making basis for the enterprise's pricing and sales strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A schematic diagram of the overall system flow in an embodiment of the present invention;

[0035] Figure 2 The figure is a flow chart of a model lightweighting method in one embodiment of the present invention.

[0036] Figure numerals: 1. Asset modeling unit; 2. Model integration unit; 3. Dynamic update unit; 4. Dynamic perception unit; 5. Model lightweight unit; 6. Data interaction unit; 7. Report generation and merging unit; 8. Procurement management unit; 9. Three-dimensional visualization unit; 10. Supply chain pricing unit. DETAILED DESCRIPTION

[0037] Embodiment 1, as Figure 1-Figure 2 As shown, the financial data management system based on big data proposed by the present invention includes a model lightweight unit 5, a data interaction unit 6, a report generation and merging unit 7, a procurement management unit 8, a three-dimensional visualization unit 9 and a supply chain pricing unit 10, and is characterized in that:

[0038] The asset modeling unit 1 is used to perform BIM modeling on the assets in the target area by using BIM technology, thereby obtaining an asset BIM model, and transmitting the asset BIM model to the model integration unit 2;

[0039] The model integration unit 2 receives the asset BIM model transmitted by the asset modeling unit 1, and integrates the asset BIM model according to the relative position of the asset in the target area, thereby obtaining an asset scenario model, and transmits the asset scenario model to the dynamic update unit 3;

[0040] The dynamic sensing unit 4 is used to record the basic information and historical operations of the asset through RFID technology, so as to obtain the asset information. The historical operations include asset transfer, recovery, transfer, return and repair, and calculate the dynamic depreciation of the asset based on the asset information, and transmit the asset information and dynamic depreciation to the dynamic update unit 3;

[0041] The dynamic update unit 3 receives the asset scenario model transmitted by the model integration unit 2 and the asset information and dynamic depreciation transmitted by the dynamic perception unit 4, sets the dynamic update cycle of the asset scenario model, and combines the asset information and dynamic depreciation with the corresponding asset BIM model in the asset scenario model to obtain the asset dynamic scenario model, and transmits the asset dynamic scenario model to the model lightweight unit 5.

[0042] In the present invention, BIM technology is the abbreviation of building information modeling technology, which is a method of building design, construction and operation management based on digital technology. BIM technology uses a three-dimensional model as the core, integrates and manages various information such as the geometric form, spatial relationship, materials, equipment, components, etc. of the building, and realizes the full life cycle management of building information; RFID technology, that is, radio frequency identification technology, is a technology for non-contact data transmission and identification through radio frequency signals. It uses radio signals to automatically identify and track objects, and transmits the information in the label or chip on the object to the reader through radio waves, thereby realizing the unique identification and tracking of the object; the dynamic update cycle refers to the time interval for regularly updating the information of the asset scenario model in the financial data management system. This cycle can be set according to actual needs and situations to ensure that the data in the asset scenario model is always kept up to date and accurate. Through the setting of the dynamic update cycle, the system can regularly obtain the latest asset information and dynamic depreciation data transmitted by the dynamic perception unit 4, and at the same time, combine the asset scenario model transmitted by the model integration unit 2, combine this information and data with the asset BIM model, and update the relevant information in the asset scenario model to reflect the latest status and situation of the asset.

[0043] In an optional embodiment, the model lightweight unit 5 receives the asset dynamic scene model transmitted by the dynamic update unit 3, and lightweights the asset dynamic scene model through a model lightweight method to obtain a lightweight asset dynamic scene model, and transmits the lightweight asset dynamic scene model to the data interaction unit 6 and the three-dimensional visualization unit 9.

[0044] In an optional embodiment, the data interaction unit 6 receives the lightweight asset dynamic scenario model transmitted by the model lightweight unit 5, and receives the retrieval request of the target user, and displays the corresponding asset BIM model and the corresponding asset information and dynamic depreciation in the lightweight asset dynamic scenario model according to the retrieval request of the target user, and records the display results to obtain the retrieval results, and transmits the retrieval results to the report generation and merging unit 7.

[0045] It should be noted that receiving the search request of the target user usually involves establishing a user interface or interface, allowing the user to input their search requirements and pass them to the data interaction unit 6.

[0046] In an optional embodiment, the report generation merging unit 7 receives the retrieval results transmitted by the data interaction unit 6, and obtains the asset BIM model image based on the retrieval results, and obtains the asset information and dynamic depreciation corresponding to the asset BIM model, and merges the asset BIM model image with the asset information and dynamic depreciation corresponding to the asset BIM model in a table to obtain an asset report, and transmits the asset report to the three-dimensional visualization unit 9.

[0047] In an optional embodiment, the procurement management unit 8 is used to build a cash management model based on the enterprise financial data, determine the probability that the target contract will not be able to repay the debt in cash when the contract expires based on the cash management model, and match the probability of not being able to repay the debt in cash with a preset probability threshold table to obtain the risk level corresponding to the target contract, and transmit the target contract and the corresponding risk level to the three-dimensional visualization unit 9.

[0048] It should be noted that the preset probability threshold table includes risk level, probability threshold range and risk description. The risk level defines the classification of different risk levels, usually expressed in numbers or letters; the probability threshold range is used for each risk level to correspond to one or more probability threshold ranges, which can be defined according to the needs of the enterprise and risk assessment standards. For example, a high risk level may correspond to a probability threshold range of more than 10%, a medium risk level may correspond to a probability threshold range of 5%-10%, and a low risk level may correspond to a probability threshold range of 0%-5%; the risk description is used for each risk level may be accompanied by a corresponding risk description, which is used to explain in more detail the degree of risk represented by the risk level and the possible risk impact.

[0049] In an optional embodiment, the supply chain pricing unit 10 is used to build a supply chain pricing model based on corporate financial data and sales data, predict the offline sales volume of assets by retailers and the online direct sales volume of wholesalers through the supply chain pricing model, and transmit the offline sales volume of assets by retailers and the online direct sales volume of wholesalers to the three-dimensional visualization unit 9.

[0050] In an optional embodiment, the three-dimensional visualization unit 9 receives the asset report transmitted by the report generation and merging unit 7, the target contract and the corresponding risk level transmitted by the procurement management unit 8, the lightweight asset dynamic scenario model transmitted by the model lightweight unit 5, and the offline sales volume of the assets by retailers and the online direct sales volume of the assets by wholesalers transmitted by the supply chain pricing unit 10, and displays the lightweight asset dynamic scene in the middle of the smart terminal, hides the target contract and the corresponding risk level, the asset report, and the offline sales volume of the assets by retailers and the online direct sales volume of the assets by wholesalers in the lightweight asset dynamic scene, and when the target user clicks on the corresponding asset BIM model in the lightweight asset dynamic scene, the target contract, the risk level of the target contract, the asset report, and the offline sales volume of the assets by retailers and the online direct sales volume of the assets by wholesalers corresponding to the asset BIM model pop up.

[0051] Embodiment 2, as Figure 1-2 As shown, the financial data management system based on big data proposed by the present invention, compared with the first embodiment, this embodiment also includes: the calculation formula of the dynamic depreciation of assets is as follows:

[0052] ;

[0053] in, Represents the dynamic impairment of assets, It represents the area coefficient of the bottom surface of the transport vehicle compartment. Indicates the number of asset stacking layers. represents the vibration acceleration of the transport vehicle, represents a constant coefficient greater than 0, and The influencing factor is the packaging of assets. The value of the constant coefficient varies according to the experimental data of different assets. Indicates the transportation time, Represents the time sensitivity factor of vibration damage.

[0054] In this embodiment, factors such as asset packaging, transportation method, and vibration environment will affect the degree of damage.

[0055] In an optional embodiment, the model lightweight method includes the following steps:

[0056] A1. Convert the asset dynamic scene model into the IFC standard format to obtain an IFC standard file;

[0057] A2. Associating various building components in the IFC standard file with their geometric information and semantic information, and converting the IFC standard file with associated geometric information and semantic information into a JSON file;

[0058] A3. Convert the IFC standard file into an OBJ format file, and convert the OBJ format file into a glTF format file through coordinate conversion, spatial index construction and LOD hierarchical division;

[0059] A4. Compress the glTF format file through the Draco encoder to obtain a compressed glTF format file, and encapsulate the compressed glTF format file and the JSON file to obtain a slice data file in the 3D Tiles format;

[0060] A5. Calculate the screen space error of the slice data file in 3D Tiles format and compare the screen space error with the preset maximum screen space error. The screen space error calculation formula is as follows:

[0061] ;

[0062] in, represents the screen space error, represents the geometric error, Represents the underlying parameters of WebGL. Indicates the distance of the camera, Indicates the camera's field of view;

[0063] A6. If the screen space error is less than the preset maximum screen space error, the slice data file in 3D Tiles format is not rendered with precision. Otherwise, higher resolution tiles are continuously loaded to render the slice data file in 3D Tiles format with precision until the maximum screen space error requirement is met.

[0064] It should be noted that IFC is an open standard in the field of Building Information Modeling (BIM), which is used to describe various components, properties and relationships in building and infrastructure projects; JSON is a lightweight data exchange format, which is often used to transmit and store structured data between different systems; OBJ is a commonly used 3D model file format, which contains the model's geometric information (vertex coordinates, normals, etc.) and texture mapping information; glTF is an open standard format for transmitting and loading 3D models, which supports multiple attributes such as geometric information, materials, animation, etc., and can be rendered in real time on WebGL; Draco is an encoder for compressing 3D graphics data, which can greatly reduce the size of model files, improve loading speed and rendering performance; 3D Tiles is a format used for hierarchical management and rendering of large-scale three-dimensional geographic data. It divides geographic space into multiple tiles that can be loaded and rendered on demand to improve performance and efficiency. Screen space error is an indicator of model accuracy, calculated based on the ratio of the model's pixel size on the screen to the visual details. A larger screen space error means that the model is rendered with lower accuracy on the screen, while a smaller screen space error means that the model is rendered with higher accuracy. WebGL is a graphics rendering technology based on Web standards that allows real-time display and manipulation of 3D graphics on web pages, using GPU accelerated rendering to achieve high-performance graphics display.

[0065] In an optional embodiment, the cash management model is as follows:

[0066] ;

[0067] in, represents the probability that the target contract cannot repay the debt in cash when the contract expires. represents the cash debt service level, represents the target contract signing price, Represents the cash balance of the enterprise. represents the drift rate of the asset, represents the target contract performance period, Represents the volatility of an asset.

[0068] In an optional embodiment, the supply chain pricing model is as follows:

[0069] ;

[0070] in, represents the retailer's offline retail sales volume, It represents the wholesaler's online direct sales volume. Indicates the market share of offline retail by retailers, represents the total potential sales volume in the market, represents the retailer's offline retail price of the asset, The wholesaler's online direct selling price for the asset, Indicates the parameters that consumers are interested in, Indicates the time it takes for consumers to judge their interest. Indicates that the consumer is not interested in the parameter, represents the probability of consumers being interested, It represents the price elasticity coefficient of wholesalers’ online direct sales and retailers’ offline retail sales.

[0071] It should be noted that in this model, factors such as retailer sales volume, wholesaler sales volume, retail market share and total potential market sales volume can affect the price of assets. In addition, factors such as consumers' interest in assets and the time required for judgment, as well as factors such as non-interest parameters and interest probability will also affect the price of assets. The price elasticity coefficient refers to the relationship between price changes and demand changes. It reflects the sensitivity of consumers to changes in product prices. In this model, the price elasticity coefficients of wholesalers' online direct sales and retailers' offline retail sales can affect the final price of assets. Through this model, the retailer's offline retail price and wholesaler's online direct sales price of assets can be calculated, as well as consumers' interest in assets and price elasticity coefficients. This information can help companies formulate reasonable pricing strategies and improve marketing effectiveness and profitability.

[0072] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge scope of technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A financial data management system based on big data, comprising a model lightweight unit (5), a data interaction unit (6), a report generation and merging unit (7), a procurement management unit (8), a three-dimensional visualization unit (9) and a supply chain pricing unit (10), characterized in that: An asset modeling unit (1), the asset modeling unit (1) is used to perform BIM modeling on the assets in the target area using BIM technology, thereby obtaining an asset BIM model, and transmitting the asset BIM model to a model integration unit (2); A model integration unit (2), wherein the model integration unit (2) receives the asset BIM model transmitted by the asset modeling unit (1), integrates the asset BIM model according to the relative position of the asset in the target area, thereby obtaining an asset scenario model, and transmits the asset scenario model to the dynamic update unit (3); A dynamic sensing unit (4), the dynamic sensing unit (4) is used to record basic information and historical operations of the asset through RFID technology, thereby obtaining asset information, the historical operations including asset transfer, recovery, transfer, return and repair, and calculate the dynamic depreciation of the asset based on the asset information, and transmit the asset information and the dynamic depreciation to the dynamic update unit (3); A dynamic updating unit (3), wherein the dynamic updating unit (3) receives the asset scenario model transmitted by the model integration unit (2) and the asset information and the dynamic depreciation transmitted by the dynamic perception unit (4), sets a dynamic updating cycle for the asset scenario model, and combines the asset information and the dynamic depreciation with the corresponding asset BIM model in the asset scenario model to obtain an asset dynamic scenario model, and transmits the asset dynamic scenario model to the model lightweight unit (5); The model lightweighting unit (5) receives the asset dynamic scene model transmitted by the dynamic updating unit (3), and performs model lightweighting on the asset dynamic scene model by a model lightweighting method, thereby obtaining a lightweight asset dynamic scene model, and transmits the lightweight asset dynamic scene model to the data interaction unit (6) and the three-dimensional visualization unit (9); The data interaction unit (6) receives the lightweight asset dynamic scene model transmitted by the model lightweight unit (5), receives the search request of the target user, and displays the corresponding asset BIM model and the corresponding asset information and the dynamic depreciation in the lightweight asset dynamic scene model according to the search request of the target user, and records the display result, thereby obtaining the search result, and transmits the search result to the report generation and merging unit (7); The report generation and merging unit (7) receives the search result transmitted by the data interaction unit (6), obtains the asset BIM model image based on the search result, and obtains the asset information corresponding to the asset BIM model and the dynamic depreciation, and merges the asset BIM model image with the asset information corresponding to the asset BIM model and the dynamic depreciation in a table, thereby obtaining an asset report, and transmits the asset report to the three-dimensional visualization unit (9); The procurement management unit (8) is used to construct a cash management model based on the enterprise financial data, determine the probability that the target contract cannot be repaid in cash when the contract expires based on the cash management model, and match the probability that the debt cannot be repaid in cash with a preset probability threshold table, thereby obtaining a risk level corresponding to the target contract, and transmit the target contract and the corresponding risk level to the three-dimensional visualization unit (9); The supply chain pricing unit (10) is used to construct a supply chain pricing model based on the enterprise financial data and sales data, predict the retailer's offline sales volume and the wholesaler's online direct sales volume of the asset through the supply chain pricing model, and transmit the retailer's offline sales volume and the wholesaler's online direct sales volume of the asset to the three-dimensional visualization unit (9); The three-dimensional visualization unit (9) receives the asset report transmitted by the report generation and merging unit (7), the target contract and the corresponding risk level transmitted by the procurement management unit (8), the lightweight asset dynamic scene model transmitted by the model lightweight unit (5), and the retailer offline sales volume and wholesaler online direct sales volume of the asset transmitted by the supply chain pricing unit (10), and displays the lightweight asset dynamic scene in the center of the intelligent terminal, hides the target contract and the corresponding risk level, the asset report, and the retailer offline sales volume and wholesaler online direct sales volume of the asset in the lightweight asset dynamic scene, and when the target user clicks on the corresponding asset BIM model in the lightweight asset dynamic scene, the target contract, the target contract risk level, the asset report, and the retailer offline sales volume and wholesaler online direct sales volume corresponding to the asset BIM model pop up; The dynamic impairment of the asset is calculated as follows: l=q i *(e t / σ -1)*(1 / c 2 )*G0*(1 / θ)*(ln(c+1)-1)*(c+1); Where l represents the dynamic impairment of the asset, q i represents the area coefficient of the bottom of the transport vehicle, c represents the number of asset stacking layers, G0 represents the vibration acceleration of the transport vehicle, θ represents a constant coefficient greater than 0, and the influencing factor of θ is the asset packaging. The value of this constant coefficient varies according to the experimental data of different assets. t represents the transportation time, and σ represents the vibration damage time sensitivity factor; The cash management model is as follows: Among them, P(C T <L T ) represents the probability that the target contract cannot repay the debt in cash when the contract expires, C T Indicates the cash debt repayment level, L T represents the signing price of the target contract, C0 represents the cash balance of the enterprise, μ1 represents the drift rate of the asset, T represents the performance period of the target contract, and δ represents the volatility of the asset; The supply chain pricing model is as follows: Among them, D f represents the retailer's offline retail sales volume, D d represents the wholesaler's online direct sales volume, s represents the retailer's offline retail market share, α represents the total potential market sales volume, and p f represents the retailer's offline retail price of the asset, p d represents the wholesaler's online direct sales price of the asset, e represents the consumer's interest parameter, T0 represents the time required for consumers to judge their interest, β represents the consumer's uninterested parameter, θ represents the probability of consumers' interest, and τ represents the price elasticity coefficient of wholesaler's online direct sales and retailer's offline retail.

2. A financial data management system based on big data according to claim 1, characterized in that: The model lightweight method comprises the following steps: A1. Convert the asset dynamic scene model into an IFC standard format, thereby obtaining an IFC standard file; A2. Associating various building components in the IFC standard file with their geometric information and semantic information, and converting the IFC standard file associated with the geometric information and semantic information into a JSON file; A3, converting the IFC standard file into an OBJ format file, and converting the OBJ format file into a glTF format file through coordinate conversion, construction of spatial index and level division of LOD; A4. Compress the glTF format file through the Draco encoder to obtain a compressed glTF format file, and encapsulate the compressed glTF format file and the JSON file to obtain a slice data file in 3D Tiles format; A5. Calculate the screen space error of the slice data file in the 3D Tiles format, and compare the screen space error with a preset maximum screen space error. The screen space error calculation formula is as follows: Among them, E SSE represents the screen space error, G geo-err represents the geometric error, C dra-buff-hei Indicates the underlying parameters of WebGL, D dis Indicates the distance from the camera, F fov Indicates the camera's field of view; A6. If the screen space error is less than the preset maximum screen space error, the slice data file in the 3D Tiles format is not precision rendered; otherwise, higher resolution tiles are continuously loaded to perform precision rendering on the slice data file in the 3D Tiles format until the maximum screen space error requirement is met.

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