Data visualization intelligent processing analysis system

Abstract

The invention discloses a data visualization intelligent processing and analysis system, and belongs to the technical field of data processing and analysis. The method is used for solving the technical problems that in an existing scheme, the effect of processing and analyzing competitive power data corresponding to different dimensions by different types of enterprise scientific and technological innovation capabilities is poor, and the visual display effect is poor. Local supervision and data processing analysis of the own dimension and the industry dimension are carried out on all scientific and technological innovation resources corresponding to different enterprises, local supervision processing results corresponding to different dimensions are obtained, and data visualization display of the corresponding dimensions is carried out; according to the method, local supervision processing results of different dimensions of all scientific and technological innovation resources corresponding to different enterprises are integrated, resource overall competitiveness analysis of an overall dimension is implemented, and targeted resource competitiveness optimization scheme visual prompt is adaptively implemented to the enterprises according to the analysis results.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing and analysis, and in particular to a data visualization intelligent processing and analysis system. Background Art

[0002] Scientific and technological innovation resources refer to the various elements and conditions that support scientific and technological innovation activities. These resources can be divided into two categories: basic scientific and technological innovation resources and overall scientific and technological innovation resources.

[0003] When implemented, the existing visualization processing and analysis solutions for scientific and technological innovation resources cannot conduct multi-dimensional supervision and data processing on the scientific and technological innovation capabilities of different types of enterprises, nor can they conduct competitiveness analysis and visualization display on the scientific and technological innovation capabilities of different types of enterprises in different dimensions, resulting in poor data processing and analysis effects and poor visualization display effects on the competitiveness of different dimensions corresponding to the scientific and technological innovation capabilities of different types of enterprises. Summary of the invention

[0004] The purpose of the present invention is to provide a data visualization intelligent processing and analysis system to solve the technical problems of poor data processing and analysis effects and poor visualization display effects of competitiveness data corresponding to different dimensions of scientific and technological innovation capabilities of different types of enterprises in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A data visualization intelligent processing and analysis system, including a local supervision and processing module for enterprise-type scientific and technological innovation resources, which is used to implement local supervision and data processing in different dimensions for all scientific and technological innovation resources corresponding to different enterprises, obtain local supervision processing results corresponding to different dimensions, and perform data visualization display of the corresponding dimensions;

[0007] The overall supervision and processing module of scientific and technological innovation resources of enterprise types is used to integrate the local supervision and processing results of different dimensions of all scientific and technological innovation resources corresponding to different enterprises, and implement the overall competitiveness analysis of resources in the overall dimension. According to the analysis results, it adaptively implements the visualization prompts of the resource competitiveness optimization plan for the affiliated enterprises.

[0008] Among them, when implementing the overall dimension integration processing of the resource competitiveness supervision processing sequence corresponding to the enterprise, all the element values ​​in the resource competitiveness supervision processing sequence obtained in the previous processing are calculated to obtain the resource overall competitiveness value corresponding to the enterprise;

[0009] Conduct data analysis on the overall competitiveness value of resources to determine the overall competitiveness status of resources corresponding to the enterprise to which it belongs, and obtain effective or invalid signals of overall competitiveness of resources;

[0010] Based on the invalid signals of overall resource competitiveness, enterprises can implement targeted resource competitiveness optimization plans with visual prompts.

[0011] Preferably, the enterprise type and the corresponding scientific and technological innovation resources corresponding to the enterprise are obtained; when implementing self-dimensional supervision and data processing on the enterprise according to the enterprise type, the human resources, material resources, achievement resources and market resources in the enterprise's scientific and technological innovation resources are traversed and matched with the corresponding preset human resource capability indicators, material resource capability indicators, achievement resource capability indicators and market resource capability indicators, and the total number of indicators satisfying the different resource capability indicator requirements of different resource types Nki is counted; k is a different resource type; i is a different resource capability indicator that meets the requirements; k = {1, 2, 3, ..., n}; n is a positive integer; i = {1, 2, 3, ..., m}; m is a positive integer.

[0012] Preferably, when integrating the total number of indicators that meet the resource capability indicator requirements of different resource types, the total number of indicators that meet the resource capability indicator requirements of different resource types are sequentially integrated through the indicator capability integration formula Calculate and obtain the resource capability index ZNk corresponding to different resource types of the enterprise; where WQki is the indicator weight corresponding to different resource types that meet the resource capability index requirements; nki is the total number of indicator weights corresponding to different resource types that meet the resource capability index requirements; Nki′ is the total number of indicators that meet the scientific and technological innovation resource capability index requirements corresponding to different resource types;

[0013] The different resource capability indexes obtained from the enterprise's corresponding scientific and technological innovation resource processing are sorted and combined to obtain the resource capability supervision processing sequence corresponding to the enterprise.

[0014] Preferably, when using the resource capability supervision processing sequence to implement industry-dimensional supervision and data processing on the enterprise, the values ​​of different elements in the resource capability supervision processing sequence are sequentially calculated through the formula Calculate and obtain the resource competitiveness identifier ZJk corresponding to different resource types; where ZNk0 is the resource capability standard value corresponding to different resource types;

[0015] Data analysis is performed on the resource competitiveness identification to determine the resource competitiveness status of the enterprise corresponding to different resource types.

[0016] Preferably, if the resource competitiveness identifier is 0, a prompt is generated that the local resource of the resource type is not competitive; if the resource competitiveness identifier is 1, a prompt is generated that the local resource competitiveness of the resource type is normal; if the resource competitiveness identifier is greater than 1, a prompt is generated that the local resource competitiveness of the resource type is excellent;

[0017] The resource competitiveness identifiers obtained from processing different resource types of an enterprise are sorted and combined to obtain the resource competitiveness supervision processing sequence corresponding to the enterprise.

[0018] Preferably, when the overall dimension integration processing is implemented for the resource competitiveness supervision processing sequence corresponding to the enterprise, the values ​​of all elements in the resource competitiveness supervision processing sequence are calculated by the formula Calculate and obtain the overall resource competitiveness value ZZk corresponding to the enterprise; where LQk is the type weight corresponding to different resource types.

[0019] Preferably, when determining the resource overall competitiveness status corresponding to the enterprise according to the resource overall competitiveness value, the difference between the resource overall competitiveness value of the enterprise and the overall competitiveness standard value is calculated and analyzed;

[0020] If the difference is greater than or equal to 0, a valid signal of overall resource competitiveness is generated and prompted;

[0021] If the difference is less than 0, a signal indicating that the overall competitiveness of the resource is invalid is generated and a prompt is given.

[0022] Preferably, all resource overall competitiveness values ​​corresponding to the same enterprise type are arranged in descending order, and the resource overall competitiveness value ranked W is marked as the overall competitiveness standard value; W is a positive integer.

[0023] Preferably, when implementing a targeted resource competitiveness optimization plan visual prompt for an enterprise corresponding to an invalid signal of overall resource competitiveness, the resource competitiveness supervision processing sequence corresponding to the enterprise is traversed, and the resource type to which the element with a value of 0 obtained through the traversal belongs is marked as an abnormal resource type;

[0024] All resource competitiveness identifiers corresponding to other enterprises of the same type as the abnormal resource type are obtained and arranged in descending order, and the resource type content to which the top W resource competitiveness identifiers belong is provided with privacy sharing optimization prompts.

[0025] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0026] The present invention implements local supervision and data processing analysis in the dimensions of themselves and the industry for all scientific and technological innovation resources corresponding to different enterprises, obtains local supervision processing results corresponding to different dimensions and performs data visualization display of the corresponding dimensions, thereby improving the data processing and analysis effect and visualization display effect of local competitiveness corresponding to different dimensions of scientific and technological innovation capabilities of different types of enterprises.

[0027] The present invention integrates the local supervision processing results of different dimensions of all scientific and technological innovation resources corresponding to different enterprises, and implements overall resource competitiveness analysis in the overall dimension. According to the analysis results, targeted resource competitiveness optimization plan visualization prompts are adaptively implemented for the affiliated enterprises, thereby improving the data processing and analysis effect of the overall resource competitiveness status data in the overall dimension corresponding to the scientific and technological innovation capabilities of different types of enterprises, as well as the local competitiveness optimization prompt effect of different abnormal resource types. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention will be further described below in conjunction with the accompanying drawings.

[0029] Figure 1 The present invention is a flowchart of the operation of a data visualization intelligent processing and analysis system. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] like Figure 1 As shown, the present invention is a data visualization intelligent processing and analysis system, including a local supervision and processing module for enterprise-type scientific and technological innovation resources and an overall supervision and processing module for enterprise-type scientific and technological innovation resources;

[0032] The local supervision and processing module of enterprise-type scientific and technological innovation resources is used to implement local supervision and data processing of different dimensions for all scientific and technological innovation resources corresponding to different enterprises, obtain the local supervision processing results corresponding to different dimensions and perform data visualization of the corresponding dimensions; including:

[0033] Obtain the enterprise type and corresponding scientific and technological innovation resources corresponding to the enterprise;

[0034] Among them, enterprise types include but are not limited to information technology types, electronic technology types and biomaterial types; scientific and technological innovation resources include but are not limited to human resources, material resources, achievement resources and market resources and other resource types;

[0035] Specifically, human resources: including researchers, engineers, technical workers and other personnel with professional knowledge and skills;

[0036] Physical resources: refers to hardware facilities such as scientific research equipment, laboratories, data centers, and R&D facilities;

[0037] Achievement resources: including technical achievements, intellectual property rights, scientific research papers and reports, etc.;

[0038] Market resources: including different types of sales channels such as distributors and retailers;

[0039] It should be noted that the enterprise type is used to implement a unified type of standardized data processing and analysis for subsequent enterprises of the same type; the different resource types contained in scientific and technological innovation resources are used to implement diverse resource competitiveness data processing and analysis for enterprises from different aspects;

[0040] When implementing self-dimensional supervision and data processing for enterprises according to their types, the human resources, material resources, achievement resources and market resources in the enterprise's scientific and technological innovation resources are traversed and matched with the corresponding preset human resource capability indicators, material resource capability indicators, achievement resource capability indicators and market resource capability indicators, and the total number of indicators that meet the resource capability indicator requirements of different resource types Nki is counted; k is a different resource type; i is a different resource capability indicator that meets the requirements; k = {1, 2, 3, ..., n}; n is a positive integer; i = {1, 2, 3, ..., m}; m is a positive integer;

[0041] It should be noted that human resources, material resources, achievement resources and market resources are pre-set with a number of corresponding human resources capability indicators, material resources capability indicators, achievement resources capability indicators and market resources capability indicators;

[0042] For example, human resource capacity indicators include indicators for scientific researchers, engineers, and skilled workers;

[0043] The material resource capacity index includes R&D equipment value indexes of different value levels;

[0044] The achievement resource capacity indicators include technical achievement indicators, intellectual property indicators, and scientific research paper indicators;

[0045] Market resource capability indicators include distributor indicators and retailer indicators;

[0046] In addition, the specific requirements of different indicators can be customized and adjusted according to the actual application scenarios and actual application needs, which will not be elaborated here;

[0047] When integrating the total number of indicators that meet the resource capability indicator requirements of different resource types, the total number of indicators that meet the resource capability indicator requirements of different resource types are integrated in turn through the indicator capability integration formula Calculate and obtain the resource capability index ZNk corresponding to different resource types of the enterprise; where WQki is the indicator weight corresponding to different resource types that meet the resource capability index requirements, which can be determined by the industry evaluation requirements data; nki is the total number of indicator weights corresponding to different resource types that meet the resource capability index requirements; Nki′ is the total number of indicators that meet the scientific and technological innovation resource capability index requirements corresponding to different resource types;

[0048] It should be noted that the resource capability index is used to calculate the indicator data corresponding to all resource types of the enterprise that meet the resource capability index requirements to digitally represent the resource capability status of the corresponding resource type;

[0049] Sort and combine the different resource capability indexes obtained by the enterprise's corresponding scientific and technological innovation resource processing to obtain the resource capability supervision processing sequence corresponding to the enterprise;

[0050] In the embodiment of the present invention, by matching, screening and digitally processing the data that meets the requirements corresponding to all resource capability indicators of different resource types of the enterprise, the resource capability index corresponding to the different resource types is obtained, which realizes the digital representation of the type resource capability status corresponding to the different resource types of the enterprise, and can also provide reliable local supervision and analysis data support for the subsequent resource capability status analysis of different dimensions of the enterprise.

[0051] When using the resource capability supervision processing sequence to implement industry-dimensional supervision and data processing on enterprises, the values ​​of different elements in the resource capability supervision processing sequence are sequentially calculated through the formula Calculate and obtain the resource competitiveness identifier ZJk corresponding to different resource types; where ZNk0 is the standard value of resource capability corresponding to different resource types, which can be determined by the median value of all resource capability indexes corresponding to the same resource type of the same enterprise type;

[0052] It should be noted that the resource competitiveness identifier is used to perform data calculation and digital representation of the local resource competitiveness corresponding to different resource types of an enterprise;

[0053] When conducting data analysis on resource competitiveness identification to determine the resource competitiveness status of the affiliated enterprise corresponding to different resource types;

[0054] If the resource competitiveness indicator is 0, a prompt indicating that the local resource of the corresponding resource type is not competitive is generated;

[0055] If the resource competitiveness indicator is 1, a prompt indicating the normal state of the local resource competitiveness of the corresponding resource type is generated;

[0056] If the resource competitiveness indicator is greater than 1, a prompt indicating the excellent status of the local resource competitiveness of the corresponding resource type is generated;

[0057] The resource competitiveness identifiers obtained by processing different resource types of the enterprise are sorted and combined to obtain the resource competitiveness supervision processing sequence corresponding to the enterprise;

[0058] In the embodiment of the present invention, by implementing local supervision and data processing analysis in the dimensions of themselves and the industry for all scientific and technological innovation resources corresponding to different enterprises, local supervision processing results corresponding to different dimensions are obtained and data visualization of the corresponding dimensions is performed, thereby improving the data processing and analysis effect and visualization display effect of local competitiveness corresponding to different dimensions of scientific and technological innovation capabilities of different types of enterprises.

[0059] The overall supervision and processing module of scientific and technological innovation resources of enterprise type is used to integrate the local supervision and processing results of different dimensions of all scientific and technological innovation resources corresponding to different enterprises, and implement the overall competitiveness analysis of resources in the overall dimension. According to the analysis results, it adaptively implements targeted resource competitiveness optimization solutions for the affiliated enterprises. Visual prompts include:

[0060] When implementing the overall dimension integration processing for the resource competitiveness supervision processing sequence corresponding to the enterprise, the values ​​of all elements in the resource competitiveness supervision processing sequence are calculated through the formula Calculate and obtain the overall resource competitiveness value ZZk corresponding to the enterprise; where LQk is the type weight corresponding to different resource types, which can be determined according to the evaluation requirement data corresponding to different resource types, or can be customized by professional and technical personnel in this field according to actual application scenarios and actual application needs;

[0061] It should be noted that the overall resource competitiveness value is used to perform data calculation on all local resource competitiveness analysis data obtained by processing all resource types of the enterprise to digitally represent the overall resource competitiveness status of the enterprise;

[0062] When determining the resource overall competitiveness status of the corresponding enterprise based on the resource overall competitiveness value, calculate and analyze the difference between the enterprise's resource overall competitiveness value and the overall competitiveness standard value;

[0063] If the difference is greater than or equal to 0, a valid signal of overall resource competitiveness is generated and prompted;

[0064] If the difference is less than 0, a signal indicating that the overall competitiveness of the resource is invalid is generated and prompted;

[0065] Among them, all the overall competitiveness values ​​of resources corresponding to the same enterprise type are arranged in descending order, and the overall competitiveness value of the resource ranked W is marked as the overall competitiveness standard value; W is a positive integer, and the specific value can be determined according to the design data of the actual evaluated enterprise; the statistics corresponding to the same enterprise type can be based on the application area of ​​the actual application scenario, such as a province;

[0066] In the embodiment of the present invention, all local resource competitiveness analysis data obtained by corresponding processing of different resource types of the enterprise in the early stage are calculated to obtain the corresponding resource overall competitiveness value, and the corresponding resource overall competitiveness status of the enterprise is obtained by performing data analysis on the resource overall competitiveness value, and reliable analysis data support can also be provided for the subsequent enterprise to implement targeted resource competitiveness optimization plan visualization prompts;

[0067] Also, when implementing a targeted resource competitiveness optimization plan visual prompt for the enterprise corresponding to the invalid signal of overall resource competitiveness, the resource competitiveness supervision processing sequence corresponding to the enterprise is traversed, and the resource type to which the element with a value of 0 obtained through the traversal belongs is marked as an abnormal resource type;

[0068] Obtain all resource competitiveness identifiers corresponding to other enterprises of the same type as the abnormal resource type and arrange them in descending order, and perform privacy sharing optimization prompts for the resource type content to which the resource competitiveness identifiers of the top W positions belong;

[0069] Among them, privacy sharing optimization prompts are carried out, specifically, all companies corresponding to the prompted resource type content are not disclosed, and reliable sharing prompts of effective content of the overall competitiveness of all resources corresponding to the same enterprise type are realized;

[0070] In the embodiment of the present invention, by integrating the local supervision processing results of different dimensions of all scientific and technological innovation resources corresponding to different enterprises, and implementing the overall competitiveness analysis of resources in the overall dimension, the visual prompts of targeted resource competitiveness optimization plans are adaptively implemented for the affiliated enterprises according to the analysis results, thereby improving the data processing and analysis effect of the overall competitiveness status of resources in the overall dimension corresponding to the scientific and technological innovation capabilities of different types of enterprises, as well as the local competitiveness optimization prompt effect of different abnormal resource types.

[0071] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0072] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0073] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0074] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0075] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A data visualization intelligent processing and analysis system, characterized in that: It includes a local supervision and processing module for enterprise-type scientific and technological innovation resources, which is used to implement local supervision and data processing in different dimensions for all scientific and technological innovation resources corresponding to different enterprises, obtain local supervision processing results corresponding to different dimensions, and perform data visualization of corresponding dimensions; The overall supervision and processing module of scientific and technological innovation resources of enterprise types is used to integrate the local supervision and processing results of different dimensions of all scientific and technological innovation resources corresponding to different enterprises, and implement the overall competitiveness analysis of resources in the overall dimension. According to the analysis results, it adaptively implements the visualization prompts of the resource competitiveness optimization plan for the affiliated enterprises. Among them, when implementing the overall dimension integration processing of the resource competitiveness supervision processing sequence corresponding to the enterprise, all the element values ​​in the resource competitiveness supervision processing sequence obtained in the previous processing are calculated to obtain the resource overall competitiveness value corresponding to the enterprise; Conduct data analysis on the overall competitiveness value of resources to determine the overall competitiveness status of resources corresponding to the enterprise to which it belongs, and obtain effective or invalid signals of overall competitiveness of resources; Based on the invalid signals of overall resource competitiveness, enterprises can implement targeted resource competitiveness optimization plans with visual prompts.

2. A data visualization intelligent processing and analysis system according to claim 1, characterized in that: Obtain the enterprise type and corresponding scientific and technological innovation resources corresponding to the enterprise; when implementing self-dimensional supervision and data processing on the enterprise according to the enterprise type, traverse and match the human resources, material resources, achievement resources and market resources in the enterprise's scientific and technological innovation resources with the corresponding preset human resource capability indicators, material resource capability indicators, achievement resource capability indicators and market resource capability indicators, and count the total number of indicators that meet the resource capability indicator requirements of different resource types Nki; k is a different resource type; i is a different resource capability indicator that meets the requirements; k = {1, 2, 3, ..., n}; n is a positive integer; i = {1, 2, 3, ..., m}; m is a positive integer.

3. A data visualization intelligent processing and analysis system according to claim 2, characterized in that: When integrating the total number of indicators that meet the resource capability indicator requirements of different resource types, the total number of indicators that meet the resource capability indicator requirements of different resource types are integrated in turn through the indicator capability integration formula Calculate and obtain the resource capability index ZNk corresponding to different resource types of the enterprise; where WQki is the indicator weight corresponding to different resource types that meet the resource capability index requirements; nki is the total number of indicator weights corresponding to different resource types that meet the resource capability index requirements; Nki′ is the total number of indicators that meet the scientific and technological innovation resource capability index requirements corresponding to different resource types; The different resource capability indexes obtained from the enterprise's corresponding scientific and technological innovation resource processing are sorted and combined to obtain the resource capability supervision processing sequence corresponding to the enterprise.

4. A data visualization intelligent processing and analysis system according to claim 3, characterized in that: When using the resource capability supervision processing sequence to implement industry-dimensional supervision and data processing on enterprises, the values ​​of different elements in the resource capability supervision processing sequence are sequentially calculated through the formula Calculate and obtain the resource competitiveness identifier ZJk corresponding to different resource types; where ZNk0 is the resource capability standard value corresponding to different resource types; Data analysis is performed on the resource competitiveness identification to determine the resource competitiveness status of the enterprise corresponding to different resource types.

5. A data visualization intelligent processing and analysis system according to claim 4, characterized in that: If the resource competitiveness indicator is 0, a prompt is generated that the local resource of the resource type is not competitive; if the resource competitiveness indicator is 1, a prompt is generated that the local resource competitiveness of the resource type is normal; if the resource competitiveness indicator is greater than 1, a prompt is generated that the local resource competitiveness of the resource type is excellent; The resource competitiveness identifiers obtained from processing different resource types of an enterprise are sorted and combined to obtain the resource competitiveness supervision processing sequence corresponding to the enterprise.

6. A data visualization intelligent processing and analysis system according to claim 5, characterized in that: When implementing the overall dimension integration processing for the resource competitiveness supervision processing sequence corresponding to the enterprise, the values ​​of all elements in the resource competitiveness supervision processing sequence are calculated through the formula Calculate and obtain the overall resource competitiveness value ZZk corresponding to the enterprise; where LQk is the type weight corresponding to different resource types.

7. A data visualization intelligent processing and analysis system according to claim 6, characterized in that: When determining the resource overall competitiveness status of the corresponding enterprise based on the resource overall competitiveness value, calculate and analyze the difference between the enterprise's resource overall competitiveness value and the overall competitiveness standard value; If the difference is greater than or equal to 0, a valid signal of overall resource competitiveness is generated and prompted; If the difference is less than 0, a signal indicating that the overall competitiveness of the resource is invalid is generated and a prompt is given.

8. The data visualization intelligent processing and analysis system according to claim 7, characterized in that: Arrange the overall competitiveness values ​​of all resources corresponding to the same enterprise type in descending order, and mark the overall competitiveness value of the resource ranked W as the overall competitiveness standard value; W is a positive integer.

9. A data visualization intelligent processing and analysis system according to claim 8, characterized in that: When implementing targeted resource competitiveness optimization plan visualization prompts for enterprises corresponding to invalid overall resource competitiveness signals, the resource competitiveness supervision processing sequence corresponding to the enterprise is traversed, and the resource type to which the element with a value of 0 obtained through the traversal belongs is marked as an abnormal resource type; All resource competitiveness identifiers corresponding to other enterprises of the same type as the abnormal resource type are obtained and arranged in descending order, and the resource type content to which the top W resource competitiveness identifiers belong is provided with privacy sharing optimization prompts.

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