A method, system, electronic device and medium for constructing and displaying visual data

Abstract

A method, system, electronic device and medium for constructing and displaying visual data, relating to the field of data processing technology. The method comprises: obtaining the asset data of a target enterprise, and generating an asset hierarchy structure based on the asset data; constructing a circular visualization interface of the target enterprise in combination with the asset distribution layer, the asset association layer and the asset attribute layer; generating a plurality of asset evaluation paths with different path widths in the circular visualization interface in response to a user's display request, wherein the path width represents the asset value proportion corresponding to the asset evaluation path; obtaining the data distribution density of each asset evaluation path in the circular visualization interface, and determining the display ratio corresponding to each asset evaluation path according to each data distribution density; and displaying each asset evaluation path in the circular visualization interface according to the corresponding display ratio and path width. The implementation of the technical solution provided in the present application achieves the effect of improving the efficiency of visual data construction and display.

Description

Technical Field

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

[0002] As enterprises continue to expand in size and their businesses become increasingly globalized, asset management has become a key component of their core competitiveness. Complex asset structures and changing market environments require enterprises to not only make precise decisions on asset procurement and maintenance, but also maintain efficient operations in asset allocation and risk control. This demand has driven the continued development of asset management technology, especially in data collection, processing and display technology. Good asset management can not only optimize resource allocation and improve asset utilization efficiency, but also prevent financial risks and enhance the market competitiveness of enterprises to a certain extent.

[0003] At present, the existing visualization data construction and display methods mainly summarize the asset data of enterprises in the form of reports and charts for display. However, in actual applications, when faced with large-scale and multi-level asset information, since asset information is constantly changing and has an impact on each other, it is often difficult to quickly reflect the asset situation of the enterprise by only using existing static reports or charts for display, thereby reducing the efficiency of visualization data construction and display. Summary of the invention

[0004] The present application provides a method, system, electronic device and medium for constructing and displaying visualized data, which can improve the efficiency of constructing and displaying visualized data.

[0005] In a first aspect, the present application provides a method for constructing and displaying visual data, including:

[0006] Acquire asset data of the target enterprise, and generate an asset hierarchy structure based on the asset data, wherein the asset hierarchy structure includes an asset distribution layer, an asset association layer, and an asset attribute layer;

[0007] Combining the asset distribution layer, the asset association layer and the asset attribute layer, constructing a circular visualization interface of the target enterprise;

[0008] In response to a user's display request, a plurality of asset evaluation paths with different path widths are generated in the annular visualization interface, wherein the path width represents a proportion of the asset value corresponding to the asset evaluation path;

[0009] Obtaining the data distribution density of each asset evaluation path in the annular visualization interface, and determining the display ratio corresponding to each asset evaluation path according to each data distribution density;

[0010] Each of the asset assessment paths is displayed on the annular visualization interface according to a corresponding display ratio and path width.

[0011] In a second aspect of the present application, a visual data construction and display system is provided, the system comprising:

[0012] A data acquisition module, used to acquire the asset data of the target enterprise, and generate an asset hierarchy structure based on the asset data, wherein the asset hierarchy structure includes an asset distribution layer, an asset association layer, and an asset attribute layer;

[0013] A visualization interface construction module, used to construct a ring-shaped visualization interface of the target enterprise by combining the asset distribution layer, the asset association layer and the asset attribute layer;

[0014] An asset evaluation path determination module, for generating a plurality of asset evaluation paths with different path widths in the annular visualization interface in response to a user's display request, wherein the path width represents a proportion of the asset value corresponding to the asset evaluation path;

[0015] The visualization display module is used to obtain the data distribution density of each asset evaluation path in the annular visualization interface, and determine the display ratio corresponding to each asset evaluation path according to each data distribution density; and display each asset evaluation path in the annular visualization interface according to the corresponding display ratio and path width.

[0016] In a third aspect of the present application, an electronic device is provided, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program can implement a method for constructing and displaying visual data when loaded and executed by the processor.

[0017] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements a method for constructing and displaying visual data.

[0018] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0019] By adopting the above technical solution, the asset data of the target enterprise is obtained, and on this basis, an asset hierarchical structure including the asset distribution layer, the asset association layer and the asset attribute layer is generated, which can comprehensively and meticulously reflect the multi-dimensional information of the enterprise's assets. Combining the information of each level, the constructed circular visualization interface presents the distribution, association and attributes of the assets in an intuitive way, enhancing the comprehensiveness and readability of the information display. When responding to the user's display request, by generating asset evaluation paths with different path widths, the value proportion of each asset in the overall assets is dynamically reflected, making the identification of key assets faster and clearer. At the same time, by obtaining the data distribution density of the asset evaluation path in the circular interface and determining the display ratio according to this density, the clarity of the interface and the reasonable layout of information are ensured, avoiding information overload or overlap. This dynamic adjustment mechanism not only improves the flexibility and accuracy of asset information display, but also optimizes the user's interactive experience, enabling enterprise managers to more efficiently conduct asset evaluation, resource allocation and risk control, thereby improving the efficiency of visual data construction and display. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flowchart of a method for constructing and displaying visual data provided in an embodiment of the present application;

[0021] Figure 2 It is a structural diagram of a visual data construction and display system provided in an embodiment of the present application;

[0022] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0023] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0024] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0025] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0026] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0027] The present application embodiment provides a method for constructing and displaying visual data. In one embodiment, please refer to Figure 1 , Figure 1 The flowchart of the method for constructing and displaying visual data provided by the embodiment of the present application can be implemented by a computer program, which can be integrated into an application or run as an independent tool application. The method can also be implemented by a single-chip microcomputer or run on a visual data construction and display system based on the von Neumann system. Specifically, the method can include the following steps:

[0028] Step 101: Obtain asset data of the target enterprise, and generate an asset hierarchy structure based on the asset data. The asset hierarchy structure includes an asset distribution layer, an asset association layer, and an asset attribute layer.

[0029] Asset data refers to all types of asset information recorded in the target enterprise's asset management system, including but not limited to basic asset information (such as asset number, name, type), value information (such as original value, net value, depreciation rate), usage information (such as user department, usage status), time information (such as purchase time, service life) and business transaction information (such as business interaction records between assets), etc. These data are the basic data sources for building the asset hierarchy structure.

[0030] The asset hierarchy is a data organization form used to describe the multi-dimensional characteristics of corporate assets. It consists of three levels: asset distribution layer, asset association layer, and asset attribute layer. This hierarchical structure design realizes the hierarchical management and multi-dimensional expression of asset data, allowing corporate asset information to be displayed and analyzed from different angles.

[0031] The asset distribution layer is a tree structure constructed by classifying the standardized asset data, which reflects the hierarchical relationship of various types of assets in the enterprise. For example, assets can be divided into major categories such as fixed assets, current assets, and intangible assets, and then subdivided into subcategories under each major category to form a multi-level classification tree structure. This distribution layer design can intuitively display the type composition and hierarchical distribution of enterprise assets.

[0032] The asset association layer is a network structure that describes the business association relationship between different assets. The association edge indicates the business relationship between assets, and the weight of the association edge reflects the strength of the business association. By calculating the business interaction frequency between assets and combining the business association coefficient, when the business association exceeds the set threshold, an association edge is established between the corresponding assets. The collection of all association edges constitutes the asset association layer. This level reveals the business dependencies between enterprise assets.

[0033] The asset attribute layer is a set of feature vectors composed of multi-dimensional indicators that reflect asset characteristics, including asset value characteristics (reflecting the economic attributes of assets), asset status characteristics (reflecting the use of assets), and asset timeliness characteristics (reflecting the time attributes of assets). These feature vectors record the key attribute information of assets and provide quantitative indicators for asset evaluation and decision analysis.

[0034] Specifically, it is necessary to first obtain the asset data of the target enterprise through the enterprise asset management system. These asset data usually include basic information such as asset number, asset name, asset type, asset value, usage status, purchase time, and user department. Since enterprise asset data often have problems such as inconsistent formats, missing or redundant data, it is necessary to perform standardized preprocessing on the acquired asset data, including data cleaning, format unification processing, and missing value supplementation, so as to obtain standard asset data.

[0035] Based on the standard asset data, firstly, an asset classification tree is constructed according to the type, purpose and other attributes of the asset, and the classification tree is mapped to the asset distribution layer. The asset distribution layer can intuitively display the hierarchical distribution of various types of assets of the enterprise, which helps managers to quickly understand the overall structure of the enterprise's assets. Then, by analyzing the business transaction records between various types of assets in the standard asset data, the business correlation between assets is calculated. Specifically, the number of business interactions between assets is obtained and normalized to obtain the business interaction frequency, and then combined with the business correlation coefficients of different types of assets, the business correlation between assets is calculated. When the business correlation exceeds the preset correlation threshold, an association edge is established between the corresponding assets, and the collection of these association edges is constructed as an asset association layer. The construction of the asset association layer enables enterprises to clearly grasp the business correlation strength between various types of assets, which is conducive to optimizing asset allocation and improving asset utilization efficiency.

[0036] Finally, indicators reflecting asset characteristics are extracted from standard asset data, including asset value characteristics (such as original value, net value, depreciation rate, etc.), asset status characteristics (such as usage status, intactness, etc.), and asset time characteristics (such as service life, remaining life, etc.). These characteristic indicators are constructed as asset feature vectors, and thus form an asset attribute layer. The establishment of the asset attribute layer provides multi-dimensional data support for asset evaluation and decision analysis. The three-layer asset hierarchy structure constructed through this step not only realizes the multi-dimensional organization of enterprise asset data, but also establishes the relationship between assets, laying a data foundation for subsequent visualization.

[0037] Based on the above embodiment, as an optional embodiment, in step 101: based on the asset data, an asset hierarchical structure is generated, and the asset hierarchical structure includes an asset distribution layer, an asset association layer, and an asset attribute layer. This step may also include the following steps:

[0038] Step 201: pre-process the asset data to obtain standard asset data; establish an asset classification tree based on the standard asset data, and map the asset classification tree to an asset distribution layer.

[0039] Specifically, since the asset data of an enterprise usually comes from multiple business systems, there are problems such as inconsistent data formats and uneven data quality. Therefore, it is necessary to first standardize and preprocess the asset data. Specifically, duplicate and abnormal data are removed through data cleaning, the data format is unified through format unification, and missing values ​​are filled through data completion, and finally standard asset data is obtained. Based on standard asset data, a hierarchical clustering method is used to construct an asset classification tree based on information such as the functional attributes and usage characteristics of assets. For example, assets can be first divided into major categories such as fixed assets, current assets, and intangible assets, and then further subdivided under each major category according to specific uses, such as subdividing fixed assets into subcategories such as buildings, machinery and equipment, and transportation tools. This classification tree structure is directly mapped to the asset distribution layer, making the hierarchical distribution relationship of enterprise assets clear at a glance, which helps managers quickly grasp the characteristics of the asset structure.

[0040] Step 202: Calculate the business association between each type of asset in the standard asset data. When the business association is greater than the association threshold, establish association edges between the corresponding assets, and use the set of association edges as the asset association layer.

[0041] Specifically, in order to reveal the business connection between various types of assets of an enterprise, it is necessary to calculate the business correlation between assets. First, the number of business interactions between assets recorded in the standard asset data is counted, such as the number of business processes jointly participated in, the number of transfers and uses between assets, etc., and these interaction times are normalized to obtain the business interaction frequency. Then, according to the business characteristics of different types of assets, the corresponding business correlation coefficient is set, which reflects the importance of business associations between different types of assets. The business correlation between assets can be obtained by multiplying the business interaction frequency with the business correlation coefficient. When the calculated business correlation exceeds the preset correlation threshold, an association edge is established between the corresponding assets, and the collection of all association edges constitutes an asset association layer. This association layer built based on actual business data can truly reflect the business dependencies between enterprise assets and provide a basis for optimizing asset allocation.

[0042] Based on the above embodiment, as an optional embodiment, in step 202: calculating the business association between various types of assets in the standard asset data, this step may also include the following steps:

[0043] Step 212: Obtain the business interaction times between assets of each type in the standard asset data, and normalize each business interaction times to obtain the business interaction frequency between assets.

[0044] Specifically, firstly, business interaction records between various types of assets are extracted from the standard asset data, and the number of business interactions between assets in a specific time period is counted. Business interaction can be reflected in the form of collaborative use between assets, business process association, or resource allocation. Since the scale of business interactions between different types of assets may vary greatly, it is necessary to normalize the original number of business interactions and map the number of business interactions to the interval [0, 1] to obtain the standardized business interaction frequency. This normalization eliminates the impact of data scale and makes the business interaction frequencies between different assets comparable.

[0045] Step 222: Based on the type of each asset, determine the corresponding business association coefficient.

[0046] Specifically, considering the differences in the importance and value contribution of different types of assets in the business of an enterprise, it is necessary to configure corresponding business relevance coefficients for different types of assets. The business relevance coefficient is a weighting factor that reflects the importance of the business of an asset, and its value range is usually between 0 and 1. For example, for production equipment that is directly involved in the core business process, a higher business relevance coefficient (such as 0.8-1.0) can be set; for auxiliary office equipment, a relatively low business relevance coefficient (such as 0.3-0.5) can be set. The setting of the business relevance coefficient needs to be combined with the business characteristics and management strategy of the enterprise, and can be determined through expert evaluation or historical data analysis. This differentiated coefficient setting can more accurately reflect the actual importance of different types of assets in business associations.

[0047] Step 232: Multiply the business interaction frequency between any two types of assets by the corresponding business correlation coefficient to obtain the corresponding business correlation degree.

[0048] Specifically, the business interaction frequency and business correlation coefficient are combined to calculate the business correlation between any two types of assets. For any two types of assets, the business interaction frequency between them is multiplied by the corresponding business correlation coefficient, and the result is the business correlation between the two types of assets. This calculation method takes into account both the actual business transactions between assets (reflected by the business interaction frequency) and the business importance of the asset type (reflected by the business correlation coefficient), thereby obtaining a more reasonable business correlation evaluation result.

[0049] Step 203: extracting asset feature vectors from the standard asset data, and constructing the asset feature vectors into an asset attribute layer. The asset feature vectors include asset value features, asset status features, and asset timeliness features.

[0050] Specifically, in order to fully characterize the characteristic attributes of assets, it is necessary to extract multi-dimensional characteristic indicators from standard asset data to construct asset characteristic vectors. Asset value characteristics include indicators such as original value, net value, depreciation rate, etc. that reflect the economic attributes of assets; asset status characteristics include indicators such as usage status, integrity, maintenance records, etc. that reflect the use of assets; asset time characteristics include indicators such as purchase time, service life, and expected service life that reflect the time attributes of assets. These characteristic indicators are quantified and organized into vector form to construct an asset attribute layer. This multi-dimensional feature expression method not only retains the key attribute information of assets, but also facilitates subsequent numerical calculations and analysis and evaluation.

[0051] Step 102: Combine the asset distribution layer, the asset association layer, and the asset attribute layer to construct a circular visualization interface for the target enterprise.

[0052] Among them, the annular visualization interface refers to a visualization form that integrates the hierarchical structure, association relationship and attribute characteristics of enterprise assets based on an annular layout. In the embodiment of the present application, it can be understood as: using an annular hierarchical layout from the inside to the outside to display the tree structure of the asset distribution layer, displaying the business association relationship of the asset association layer through the connecting lines between the annular areas, and using the visual attributes such as color, texture and size of the annular area to display the multi-dimensional feature information of the asset attribute layer, thereby forming a comprehensive visualization interface.

[0053] Specifically, in order to intuitively display the multi-dimensional information of enterprise assets, it is necessary to visualize the three layers of data in the asset hierarchy structure and construct a circular visualization interface. In the specific implementation, the circular layout is first designed based on the tree structure of the asset distribution layer, and the asset types of different levels are expanded in a circular manner from the inside to the outside. The innermost layer displays the first-level classification of assets, such as fixed assets, current assets, intangible assets and other major categories; the second-level, third-level and other sub-categories are displayed outward in turn, forming a progressive circular structure. This circular layout can not only clearly display the hierarchical attribution of assets, but also effectively utilize the interface space, which is suitable for displaying large-scale hierarchical data. On the basis of the circular layout, the associated edge information in the asset association layer is superimposed and displayed in the form of connecting lines. Specifically, when there is a business association between two assets, a connecting line is drawn between the corresponding circular areas. The width of the connecting line can be used to indicate the size of the business association. The greater the association, the wider the connecting line. In order to avoid visual confusion caused by the intersection of a large number of connecting lines, an intelligent wiring algorithm is used to optimize the layout of the connecting lines, minimize the intersection of lines, and use different line colors or transparency to distinguish different types of business associations when necessary. This visualization method can intuitively display the business connections between corporate assets and help managers quickly identify key business relationships. Information on the asset attribute layer is displayed through color mapping and graphic coding. Multidimensional attribute information such as asset value characteristics, status characteristics, and timeliness characteristics are mapped to visual attributes such as color, texture, and size of the annular area. For example, the depth of color can be used to represent the value of the asset, different textures can be used to represent the asset's usage status, and the size of the area can be used to represent the asset's service life. At the same time, interactive information tags are added to the annular area. When the user pays attention to a specific asset, the detailed attribute information of the asset can be viewed by hovering or clicking. This visual coding method of multidimensional information enables users to understand and analyze asset characteristics from multiple perspectives.

[0054] In order to improve the practicality of the visualization interface, dynamic zooming and filtering functions need to be implemented. Users can focus on asset information at different levels through zooming operations, or set filtering conditions to only display assets and their relationships that meet specific conditions. In addition, considering the real-time requirements of data, the visualization interface also needs to support dynamic updates of data, and be able to adjust the display effect in real time when asset data changes. The design of these interactive functions makes the visualization interface more flexible and adaptable, and can better meet the asset management needs in different scenarios.

[0055] By building such a circular visualization interface, enterprises can transform complex asset information into intuitive visual expressions, allowing managers to quickly grasp asset distribution, identify key business relationships, and understand asset attribute characteristics, thereby improving asset management efficiency and decision-making accuracy.

[0056] Based on the above embodiment, as an optional embodiment, in step 102: combining the asset distribution layer, the asset association layer and the asset attribute layer to construct a circular visualization interface of the target enterprise, this step may also include the following steps:

[0057] Step 301: Map the data of the asset distribution layer to the outermost ring area of ​​the initial visualization interface, map the data of the asset association layer to the middle ring area of ​​the initial visualization interface, and map the data of the asset attribute layer to the innermost ring area of ​​the initial visualization interface.

[0058] Specifically, in order to build a circular visualization interface with clear hierarchy and complete information, it is necessary to reasonably map and associate the three layers of data in the asset hierarchy. First, the circular layout of the initial visualization interface is designed based on the characteristics of the three layers of data. The data of the asset distribution layer is mapped to the outermost ring area. This is because the asset distribution layer contains the hierarchical classification information of the assets and has obvious tree-like structure characteristics. Placing it in the outermost ring can make full use of the space to display complex hierarchical relationships. The data of the asset association layer is mapped to the middle ring area, because the association layer reflects the business connection between assets. Placing it in the middle position facilitates the establishment of connections with the distribution information of the outer layer and the attribute information of the inner layer. The data of the asset attribute layer is mapped to the innermost ring area, because the attribute layer contains the basic feature information of the assets. Placing it in the innermost layer as core data is conducive to the focused display of data.

[0059] Step 302: Establish a data connection channel between any two adjacent ring areas in the outermost ring area, the middle ring area, and the innermost ring area to generate a ring-shaped visualization interface for the target enterprise.

[0060] Specifically, in order to reflect the logical association between the three layers of data, it is necessary to establish data connection channels between adjacent ring areas. In specific implementation, a connection channel is first established between the asset distribution area of ​​the outermost ring and the association area of ​​the middle ring, and the correspondence between a specific type of asset and its business association relationship is displayed in the form of a connecting line or ribbon. Then a connection channel is established between the association area of ​​the middle ring and the attribute area of ​​the innermost ring to display the mapping relationship between business-related assets and their specific attribute characteristics. The design of these connection channels adopts an intelligent wiring algorithm to ensure the clarity and aesthetics of the connection, and allows users to display or hide specific connection relationships on demand through interactive control. Through this three-ring linkage visualization design, the final generated ring visualization interface can organically integrate the distribution characteristics, association relationships and attribute information of enterprise assets.

[0061] Step 103: In response to the user's display request, a plurality of asset evaluation paths with different path widths are generated in the circular visualization interface, and the path width represents the asset value ratio corresponding to the asset evaluation path.

[0062] Among them, the display request in the embodiment of the present application refers to the operation instruction initiated by the user through the system interface to view and analyze the distribution of the value of the enterprise assets.

[0063] In the embodiment of this application, the path width refers to the visual display width of the asset evaluation path in the circular visualization interface. The width is a variable parameter, and its size is proportional to the asset value ratio, which is used to intuitively reflect the value ratio of different assets in the total assets of the enterprise. The larger the path width, the higher the value ratio of the asset; the smaller the path width, the lower the value ratio of the asset.

[0064] In the embodiment of the present application, the asset evaluation path refers to a continuous visual path from the innermost ring through the middle ring to the outermost ring in the annular visualization interface, which is used to display the value distribution of a specific asset. The path runs through the asset attribute layer, the asset association layer, and the asset distribution layer, and can simultaneously display the value information, business association, and distribution location of the asset, forming a complete asset evaluation visual channel.

[0065] Specifically, in order to help enterprise managers quickly identify and evaluate the value distribution of different assets, it is necessary to design a dynamic generation mechanism for asset evaluation paths in the circular visualization interface. After receiving the user's display request, the system first extracts the asset value feature data from the asset attribute layer and calculates the value share of each type of asset. Specifically, the value of each type of asset is divided by the total asset value of the enterprise to obtain a standardized value share index. Based on these value share data, the system generates the corresponding asset evaluation path in the circular visualization interface. When generating the path, an adaptive path width design scheme is adopted. The path width is proportional to the asset value share. The larger the value share of the asset, the wider the corresponding evaluation path. For example, for core production equipment with a value share of 30%, a wider evaluation path may be generated; while for office equipment with a value share of only 5%, a relatively narrow evaluation path is generated. This differentiated path width design intuitively reflects the value weight of different assets in the total assets of the enterprise, which is convenient for managers to quickly identify key assets. The specific drawing of the evaluation path adopts an intelligent routing algorithm to ensure the rationality and readability of the path direction. The path starts from the innermost ring, passes through the middle ring, and finally reaches the outermost ring. The width remains unchanged when passing through different ring areas to maintain the consistency of value ratio information. When multiple evaluation paths coexist, the algorithm automatically adjusts the spacing and direction between the paths to avoid visual confusion caused by overlapping paths. At the same time, in order to enhance the recognizability of the path, the system will assign different colors or textures to different types of asset evaluation paths, and add label information to the path to display the specific asset type and value ratio data.

[0066] This visualization design based on path width has significant analytical value. By observing the distribution and width changes of the evaluation path, managers can intuitively understand the distribution characteristics of the company's asset value, quickly identify key assets with a high value share, and provide a basis for asset investment decisions and resource allocation optimization. At the same time, since the evaluation path runs through the three ring areas, managers can also track and analyze the distribution location, business associations, and attribute characteristics of specific assets along the path to achieve multi-dimensional asset evaluation. In addition, this dynamically generated evaluation path also supports interactive operations. Users can filter and display asset evaluation paths of specific types or value ranges as needed to achieve flexible asset analysis.

[0067] Based on the above embodiment, as an optional embodiment, in step 103: generating multiple asset evaluation paths with different path widths in the annular visualization interface, the path width represents the asset value ratio corresponding to the asset evaluation path, this step may also include the following steps:

[0068] Step 401: extract asset value features from the asset attribute layer, and calculate the value proportion corresponding to each asset node based on the total asset value of the target enterprise and the asset value of multiple asset nodes in the asset value features.

[0069] Specifically, the system extracts asset value feature data from the database of the asset attribute layer. These data include the total asset value of the target enterprise and the specific asset value of each asset node. In specific implementation, the system first reads the total asset value of the enterprise from the database, and then reads the value data of each asset node in turn, and obtains the value share of the node by dividing the value of a single asset node by the total asset value. For example, when the total assets of the enterprise are 100 million yuan, the asset value of production line A is 10 million yuan, and the value share of the production line is 10%; the asset value of an office building is 5 million yuan, and its value share is 5%. In this way, the system converts the actual value of all asset nodes into relative proportion values, preparing data for the subsequent determination of path width.

[0070] Step 402: Based on the proportion of each value, determine the path width corresponding to each asset node; determine the corresponding path starting point and path end point according to the hierarchical position of each asset node in the asset distribution layer, and obtain the path connection relationship of each asset node from the asset association layer.

[0071] Specifically, the system first determines the path width based on the value ratio calculated above. The system pre-sets the range of path width values, such as a minimum width of 5 pixels and a maximum width of 50 pixels. The larger the value ratio of the asset node, the closer the corresponding path width is to the maximum value. Next, the system reads the location information of each asset node from the asset distribution layer, including the level number to which it belongs and the position sequence number in the level, and determines the path end position corresponding to the node, that is, the end position of the path on the outermost ring. At the same time, the system determines the starting position of the path based on the attribute data position corresponding to the asset node in the innermost ring. Then, the system queries the business association data recorded in the asset association layer to obtain the connection relationship between each asset node. These relationships determine how different asset evaluation paths intersect or connect in the middle ring area. For example, if there is an upstream and downstream relationship between production line A and production line B, their evaluation paths need to establish a connection point in the middle ring area.

[0072] Step 403: Generate multiple asset evaluation paths in the circular visualization interface according to the path width, path starting point, path end point and path connection relationship of each asset node.

[0073] Specifically, the system draws the asset evaluation path in the circular visualization interface according to the parameters determined previously. The system uses a curve drawing algorithm to ensure that the path is smooth and natural. For each evaluation path, the system uses the pre-calculated path width to draw, starting from the starting position of the innermost ring, and maintaining the set width to the end position of the outermost ring. When multiple paths pass through the middle ring area, the system will adjust the path direction to achieve the necessary intersection and connection according to the requirements of the business association relationship. In order to ensure the visual effect, the system will control the spacing at the intersection of the paths and avoid visual interference by setting different path levels. For example, for production line A, which accounts for 10% of the value, its evaluation path starts from a specific position in the inner ring, maintains a width of 10 pixels, establishes a connection with the path of the associated production line B in the middle ring, and finally extends to the predetermined end position of the outer ring to form a complete asset evaluation path. In this way, the system finally generates a set of evaluation paths in the circular interface that can intuitively reflect the distribution and association of asset values.

[0074] Step 104: Obtain the data distribution density of each asset assessment path in the annular visualization interface, and determine the display ratio corresponding to each asset assessment path according to each data distribution density.

[0075] Among them, data distribution density in the embodiment of the present application refers to the degree of aggregation of asset evaluation paths in a specific area within the annular visualization interface, which is specifically expressed as the number of asset evaluation paths passing through the unit area. The system divides the annular interface into several sector areas, and measures the data distribution density of the area by counting the number of asset evaluation paths passing through each sector area.

[0076] In the embodiment of the present application, the display ratio refers to the visibility of the asset assessment path in the ring-shaped visualization interface, which is achieved by adjusting the transparency of the path. The display ratio is a percentage value dynamically calculated based on the data distribution density, which is used to control the visual effect of the path. When the data distribution density in an area is high, the system will reduce the display ratio of the path in the area, thereby reducing the opacity of the path.

[0077] Specifically, in order to avoid the asset evaluation paths in the circular visualization interface being too dense and affecting the display effect, the system needs to dynamically adjust the display mode of the paths. In the actual implementation process, the system first calculates the data distribution density of each area in the circular visualization interface. The specific method is to divide the circular interface into multiple sector areas and count the number of asset evaluation paths passing through each area. For example, in the sector area from 0 to 30 degrees, if there are 5 evaluation paths passing through, the data distribution density of the area is 5; and in the area from 180 to 210 degrees, if there are only 2 paths passing through, the data distribution density of the area is 2. After obtaining the data distribution density, the system determines the display ratio of the path according to the preset density threshold. When the data distribution density of a certain area exceeds the threshold, the system will reduce the display ratio of the asset evaluation paths in the area accordingly. In specific operation, the system sets the baseline display ratio to 100%, and when the regional density exceeds the threshold by 1 unit, the display ratio is reduced by 10%. For example, when the density threshold is set to 3, for the area with a data distribution density of 5, its path display ratio will be reduced to 80%. This display ratio adjustment is achieved by changing the transparency of the path. For example, an 80% display ratio corresponds to an opacity of 0.8, so that the paths in the overlapping areas can still be identified.

[0078] Through this dynamic adjustment mechanism based on data distribution density, the system can effectively improve the visual presentation while maintaining the integrity of the asset evaluation path. When users observe the circular visualization interface, they can clearly distinguish different asset evaluation paths even in areas with dense paths and accurately understand the distribution and correlation of corporate assets.

[0079] Based on the above embodiment, as an optional embodiment, in step 104: determining the display ratio corresponding to each asset evaluation path according to the distribution density of each data, this step may also include the following steps:

[0080] Step 501: Obtain the display area in the annular visualization interface; calculate the ratio between the data distribution density of each asset assessment path and the sum of the data distribution densities.

[0081] Specifically, in order to reasonably allocate the display space of each asset assessment path in the annular visualization interface, the system first obtains the display area of ​​the entire annular interface. In specific implementation, the system obtains the total area of ​​the display area by calculating the area difference between the outermost circle and the innermost circle of the annular interface. Next, the system calculates the data distribution density of the area where each asset assessment path is located, that is, counts the total number of paths in the area passed by the path. Then, the system accumulates the data distribution density of all areas to obtain the sum of the data distribution density. For each asset assessment path, the system divides the data distribution density of the area where it is located by the sum of the densities to obtain the density share of the path. For example, the data distribution density of the area where a certain asset assessment path is located is 5, and the sum of the data distribution density of all areas is 20, then the density share of the path is 0.25. This calculation method ensures that the sum of the density share of all paths is 1, which provides a basis for the subsequent reasonable allocation of display space.

[0082] Step 502: Multiply the display area by each ratio to obtain the display ratio corresponding to each asset assessment path.

[0083] Specifically, the system determines the specific display ratio of each asset assessment path based on the above calculation results. The system multiplies the total area of ​​the annular display area by the density ratio of each path to obtain the display area corresponding to the path, and converts this display area into a display ratio. For example, when the total area of ​​the annular display area is 1,000 square pixels and the density ratio of a certain asset assessment path is 0.25, the display area obtained by the path is 250 square pixels, and the system sets the display ratio of the path accordingly. In this way, paths in areas with higher data distribution density will obtain larger display spaces, while paths in areas with lower density will obtain relatively smaller display spaces, thereby visually achieving a balanced effect of path display. This display ratio calculation method based on area allocation avoids the visual crowding problem that may be caused by traditional fixed-ratio display, so that the annular visualization interface can clearly display the distribution of all asset assessment paths, making it easier for users to understand and analyze the distribution characteristics of corporate assets.

[0084] Step 105: Display each asset assessment path on a circular visualization interface according to the corresponding display ratio and path width.

[0085] Specifically, in order to achieve a clear display of the asset evaluation path in the ring visualization interface, the system needs to apply the calculated display ratio and path width to the specific path drawing. In the actual implementation process, the system first sets the transparency attribute of the path according to the previously determined display ratio, and the display ratio directly corresponds to the opacity value of the path. At the same time, the system applies the calculated path width parameter, which is a pixel value converted based on the asset value ratio. In this way, each asset evaluation path has specific transparency and width attributes. For example, a path with a display ratio of 0.8 will be displayed with an opacity of 0.8. If the width calculated based on the asset value ratio corresponding to the path is 10 pixels, the path will be drawn with a width of 10 pixels. In the specific drawing process of the path, the system uses the previously generated Bezier curve path data, starting from the starting point of the innermost ring, passing through the connection point of the middle ring, and extending to the end point of the outermost ring. When multiple paths intersect in the middle ring area, since each path has a specific transparency, the overlapping parts will naturally form a superposition effect, allowing users to clearly identify the direction and connection relationship of the path. For paths with larger widths, the system will also add appropriate gradient effects to the edges of the paths to avoid the path boundaries being too abrupt.

[0086] By combining the display ratio and path width, the circular visualization interface can effectively display the distribution characteristics and correlation of corporate assets. In areas with dense asset evaluation paths, the lower display ratio allows overlapping paths to be clearly identified; while the difference in path width intuitively reflects the value weight of different assets. This visualization effect ensures both the integrity of the information and the clarity of the interface, helping users better understand and analyze the overall distribution of corporate assets.

[0087] Based on the above embodiment, as an optional embodiment, in step 105: each asset assessment path is displayed on the annular visualization interface according to the corresponding display ratio and path width. After this step, the following steps may be included:

[0088] Step 601: Obtain path screening conditions input by the user, where the path screening conditions include asset type, business relevance, and asset value range; extract multiple target asset evaluation paths that meet the path screening conditions from the circular visualization interface.

[0089] Specifically, in order to allow users to flexibly view and analyze the company's assets according to specific needs, the system first receives the filtering conditions entered by the user through the interface, including asset type (such as production equipment, building construction), business relevance (such as upstream and downstream relevance), and asset value range (such as 1-10 million yuan). The system then traverses all asset evaluation paths in the circular visualization interface and checks whether the attribute data of the assets corresponding to each path meets the filtering conditions set by the user. For example, when the user specifies to filter assets with production equipment types, business relevance greater than 0.5, and asset values ​​in the range of 5-8 million yuan, the system will mark the asset evaluation paths that meet these conditions as target paths in preparation for subsequent priority analysis.

[0090] Step 602: Determine the asset evaluation indicators of each target asset evaluation path, the asset evaluation indicators include asset value growth rate and asset utilization efficiency; based on the asset value growth rate and asset utilization efficiency of each target asset evaluation path, determine the display priority of each target asset evaluation path.

[0091] Specifically, the system analyzes the importance of the selected target asset evaluation paths. The system extracts the evaluation indicators of the corresponding assets of each target path from the asset attribute database, including the asset value growth rate (such as the annual value-added rate) and the asset utilization efficiency (such as the equipment operation efficiency). The system uses a weighted calculation method to determine the display priority of the path, assigns corresponding weights to the asset value growth rate and asset utilization efficiency, such as a growth rate weight of 0.6 and an efficiency weight of 0.4, and then calculates the weighted score. For example, if the annual value-added rate of a production line is 15% and the equipment operation efficiency is 80%, its weighted score is 15%×0.6+80%×0.4=41%. The system sorts the target paths according to these weighted scores, and the paths with higher scores have higher display priorities.

[0092] Step 603: Display each target asset assessment path on a circular visualization interface according to the corresponding display priority.

[0093] Specifically, the system adjusts the display effect of the target asset assessment path according to the calculated display priority. The system adopts a hierarchical display strategy, with higher priority paths displayed on the upper layer and lower priority paths displayed on the lower layer. At the same time, the system highlights important paths by adjusting the visual attributes of the paths, such as using eye-catching colors for the top three paths with the highest display priority and increasing the brightness or saturation of the paths, while using lighter colors and lower brightness for lower priority paths. In addition, the system also sets different interactive response levels for paths of different priorities, so that users can obtain more detailed asset information display when clicking on high-priority paths, thereby achieving highlighting and convenient access to important assets.

[0094] Reference Figure 2 , is a visual data construction and display system provided in an embodiment of the present application, the system comprises: a data acquisition module, a visual interface construction module, an asset evaluation path determination module, and a visual display module, wherein:

[0095] A data acquisition module is used to acquire the asset data of the target enterprise and generate an asset hierarchy structure based on the asset data. The asset hierarchy structure includes an asset distribution layer, an asset association layer, and an asset attribute layer.

[0096] A visualization interface construction module is used to combine the asset distribution layer, asset association layer and asset attribute layer to construct a circular visualization interface for the target enterprise;

[0097] An asset evaluation path determination module is used to generate a plurality of asset evaluation paths with different path widths in a circular visualization interface in response to a user's display request, wherein the path width indicates the asset value ratio corresponding to the asset evaluation path;

[0098] The visualization display module is used to obtain the data distribution density of each asset evaluation path in the circular visualization interface, and determine the corresponding display ratio of each asset evaluation path according to the data distribution density; and display each asset evaluation path in the circular visualization interface according to the corresponding display ratio and path width.

[0099] On the basis of the above embodiment, the data acquisition module is also used to pre-process the asset data to obtain standard asset data; establish an asset classification tree based on the standard asset data, and map the asset classification tree to an asset distribution layer; calculate the business association between various types of assets in the standard asset data, and when the business association is greater than the association threshold, establish association edges between the corresponding assets, and use the set of each association edge as the asset association layer; extract asset feature vectors from the standard asset data, and construct the asset feature vectors as an asset attribute layer, the asset feature vectors include asset value features, asset status features and asset timeliness features.

[0100] Based on the above embodiment, the data acquisition module is also used to obtain the number of business interactions between assets of each type in the standard asset data, and normalize the number of business interactions to obtain the business interaction frequency between the assets; based on the type of each asset, determine the corresponding business correlation coefficient; multiply the business interaction frequency between any two types of assets by the corresponding business correlation coefficient to obtain the corresponding business correlation degree.

[0101] Based on the above embodiment, the visualization interface construction module is also used to map the data of the asset distribution layer to the outermost ring area of ​​the initial visualization interface, map the data of the asset association layer to the middle ring area of ​​the initial visualization interface, and map the data of the asset attribute layer to the innermost ring area of ​​the initial visualization interface; establish a data connection channel between any two adjacent ring areas in the outermost ring area, the middle ring area and the innermost ring area to generate a ring-shaped visualization interface for the target enterprise.

[0102] On the basis of the above-mentioned embodiment, the asset evaluation path determination module is also used to extract asset value characteristics from the asset attribute layer, and calculate the value proportion corresponding to each asset node according to the total asset value of the target enterprise and the asset value of multiple asset nodes in the asset value characteristics; determine the path width corresponding to each asset node based on each value proportion; determine the corresponding path starting point and path end point according to the hierarchical position of each asset node in the asset distribution layer, and obtain the path connection relationship of each asset node from the asset association layer; generate multiple asset evaluation paths in the circular visualization interface according to the path width, path starting point, path end point and path connection relationship of each asset node.

[0103] Based on the above embodiment, the visualization display module is also used to obtain the display area within the annular visualization interface; calculate the ratio between the data distribution density of each asset assessment path and the sum of the data distribution densities; multiply the display area by each ratio to obtain the display ratio corresponding to each asset assessment path.

[0104] Based on the above embodiment, the visualization display module is also used to obtain path filtering conditions input by the user, the path filtering conditions include asset type, business relevance and asset value range; extract multiple target asset evaluation paths that meet the path filtering conditions from the annular visualization interface; determine the asset evaluation indicators of each target asset evaluation path, the asset evaluation indicators include asset value growth rate and asset utilization efficiency; based on the asset value growth rate and asset utilization efficiency of each target asset evaluation path, determine the display priority of each target asset evaluation path; display each target asset evaluation path on the annular visualization interface according to the corresponding display priority.

[0105] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0106] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0107] The communication bus 302 is used to realize the connection and communication between these components.

[0108] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0109] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0110] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface diagrams and applications, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0111] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of a method for constructing and displaying visual data.

[0112] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call an application program storing a method for constructing and displaying visual data in the memory 305, and when executed by one or more processors 301, the electronic device 300 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0113] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0115] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0117] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0118] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0119] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not recorded in the present disclosure. The description and examples are to be regarded as exemplary only.

Claims

1. A method for constructing and displaying visual data, characterized in that: include: Acquire asset data of the target enterprise, and generate an asset hierarchy structure based on the asset data, wherein the asset hierarchy structure includes an asset distribution layer, an asset association layer, and an asset attribute layer; Combining the asset distribution layer, the asset association layer and the asset attribute layer, constructing a circular visualization interface of the target enterprise; In response to a user's display request, extract asset value features from the asset attribute layer, and calculate the value proportion corresponding to each asset node according to the total asset value of the target enterprise and the asset value of multiple asset nodes in the asset value features; Based on the value proportions, determining the path width corresponding to each asset node; Determine the corresponding path starting point and path end point according to the hierarchical position of each asset node in the asset distribution layer, and obtain the path connection relationship of each asset node from the asset association layer; According to the path width, path starting point, path end point and path connection relationship of each asset node, multiple asset evaluation paths are generated in the annular visualization interface. The asset evaluation path refers to a continuous visual path from the innermost ring through the middle ring to the outermost ring in the annular visualization interface, which is used to display the value distribution of a specific asset; Obtaining the data distribution density of each asset evaluation path in the annular visualization interface, and determining the display ratio corresponding to each asset evaluation path according to each data distribution density; Displaying each of the asset assessment paths on the annular visualization interface according to a corresponding display ratio and path width; The displaying of each of the asset assessment paths on the annular visualization interface according to the corresponding display ratio and path width also includes: Acquire path screening conditions input by a user, wherein the path screening conditions include asset type, business relevance, and asset value range; Extracting multiple target asset evaluation paths that meet the path screening conditions from the annular visualization interface; Determine the asset evaluation indicators of each target asset evaluation path, wherein the asset evaluation indicators include asset value growth rate and asset utilization efficiency; Determining the display priority of each target asset evaluation path based on the asset value growth rate and asset utilization efficiency of each target asset evaluation path; Each target asset assessment path is displayed on the annular visualization interface according to the corresponding display priority.

2. The method for constructing and displaying visual data according to claim 1, characterized in that: Based on the asset data, an asset hierarchical structure is generated, wherein the asset hierarchical structure includes an asset distribution layer, an asset association layer, and an asset attribute layer, including: Preprocessing the asset data to obtain standard asset data; Establishing an asset classification tree according to the standard asset data, and mapping the asset classification tree into an asset distribution layer; Calculating the business association between each type of asset in the standard asset data, and when the business association is greater than an association threshold, establishing association edges between corresponding assets, and using a set of the association edges as an asset association layer; An asset feature vector is extracted from the standard asset data, and the asset feature vector is constructed as an asset attribute layer, wherein the asset feature vector includes an asset value feature, an asset status feature, and an asset timeliness feature.

3. The method for constructing and displaying visual data according to claim 2, characterized in that: The calculating the business association between the various types of assets in the standard asset data includes: Acquire the number of business interactions between assets of each type in the standard asset data, and perform normalization processing on each of the business interaction numbers to obtain the business interaction frequency between the assets; Based on the type of each of the assets, determining a corresponding business correlation coefficient; Multiply the business interaction frequency between any two types of assets by the corresponding business correlation coefficient to obtain the corresponding business correlation degree.

4. The method for constructing and displaying visual data according to claim 1, characterized in that: The step of combining the asset distribution layer, the asset association layer, and the asset attribute layer to construct a circular visualization interface of the target enterprise includes: Mapping the data of the asset distribution layer to the outermost ring area of ​​the initial visualization interface, mapping the data of the asset association layer to the middle ring area of ​​the initial visualization interface, and mapping the data of the asset attribute layer to the innermost ring area of ​​the initial visualization interface; A data connection channel is established between any two adjacent ring areas among the outermost ring area, the middle ring area and the innermost ring area to generate a ring-shaped visualization interface of the target enterprise.

5. The method for constructing and displaying visual data according to claim 1, characterized in that: Determining the display ratio corresponding to each of the asset assessment paths according to the data distribution density includes: Obtaining the display area within the annular visualization interface; Calculate the ratio between the data distribution density of each of the asset evaluation paths and the sum of the data distribution densities; The display area is multiplied by each ratio to obtain the display ratio corresponding to each asset evaluation path.

6. A visual data construction and display system, characterized in that: The system comprises: A data acquisition module, used to acquire the asset data of the target enterprise, and generate an asset hierarchy structure based on the asset data, wherein the asset hierarchy structure includes an asset distribution layer, an asset association layer, and an asset attribute layer; A visualization interface construction module, used to construct a ring-shaped visualization interface of the target enterprise by combining the asset distribution layer, the asset association layer and the asset attribute layer; An asset evaluation path determination module is used to extract asset value features from the asset attribute layer in response to a user's display request, and calculate the value proportion corresponding to each asset node based on the total asset value of the target enterprise and the asset value of multiple asset nodes in the asset value features; determine the path width corresponding to each asset node based on each value proportion; determine the corresponding path starting point and path end point according to the hierarchical position of each asset node in the asset distribution layer, and obtain the path connection relationship of each asset node from the asset association layer; generate multiple asset evaluation paths in the annular visualization interface according to the path width, path starting point, path end point and path connection relationship of each asset node, wherein an asset evaluation path refers to a continuous visual path from the innermost ring through the middle ring to the outermost ring in the annular visualization interface, which is used to display the value distribution of a specific asset; A visualization display module is used to obtain the data distribution density of each asset evaluation path in the annular visualization interface, and determine the display ratio corresponding to each asset evaluation path according to each data distribution density; and display each asset evaluation path in the annular visualization interface according to the corresponding display ratio and path width; The displaying of each of the asset assessment paths on the annular visualization interface according to the corresponding display ratio and path width also includes: Acquire path screening conditions input by a user, wherein the path screening conditions include asset type, business relevance, and asset value range; Extracting multiple target asset evaluation paths that meet the path screening conditions from the annular visualization interface; Determine the asset evaluation indicators of each target asset evaluation path, wherein the asset evaluation indicators include asset value growth rate and asset utilization efficiency; Determining the display priority of each target asset evaluation path based on the asset value growth rate and asset utilization efficiency of each target asset evaluation path; Each target asset assessment path is displayed on the annular visualization interface according to the corresponding display priority.

7. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the visual data construction and display method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the visualization data construction and display method according to any one of claims 1 to 5 is executed.

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