Image transmission system for visual communication display
By separating frequently accessed data into a separate derived data table in the enterprise profiling system and prioritizing data retrieval from this table, the problem of delayed generation of frequently accessed data is solved, thereby improving data retrieval speed and user experience.
Patent Information
- Application Number
- CN202511401299.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-28
- Publication Date
- 2025-12-30
AI Technical Summary
In existing technologies, the large volume of frequently accessed data during the generation of enterprise profiles slows down the generation process and reduces the user browsing experience.
The data management unit collects and manages multi-dimensional information data, the behavior analysis unit analyzes user behavior and generates reading strategies for each dimension, high-frequency access data is stored in a separate derived data table, and data is read from the derived data table first to reduce I/O operations.
It improves database performance, reduces the possibility of lock contention, significantly increases data retrieval speed, allows users to quickly view key information, and enhances the user experience.
Smart Images

Figure CN121233633A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of data management technology, and more specifically to an image transmission system for visual communication and display. Background Technology
[0002] Visual communication is a form of expression that conveys information, ideas and emotions through visual symbols and elements. It uses visual elements such as images, text and color to convey specific information or purposes to users. Currently, visual communication is widely used in corporate profiling and has become an important tool for connecting companies with consumers and shaping corporate image.
[0003] Enterprise profiling is a tagging system that takes an enterprise as the object and collects and analyzes various data of the enterprise, including but not limited to the enterprise's basic information, behavioral characteristics, products and services, and supply chain relationships, to label the enterprise and form a tagging system.
[0004] The generation of corporate profiles is inseparable from the multi-dimensional information data of the enterprise, and the multi-dimensional information data used to generate corporate profiles is stored in the corresponding dimension data tables.
[0005] In existing technologies, the process of generating enterprise profiles utilizes pre-made enterprise profile templates, inserting enterprise information data of different dimensions into corresponding positions within the templates. This enterprise information data includes textual and image information. In this way, when a user requests access to the enterprise profile, the corresponding enterprise profile can be generated instantly. During the enterprise profile generation process, a semi-display function is set for different dimensions of textual information data to prevent data that users are not interested in from interfering with their browsing of the corresponding data. This method of instantly generating enterprise profiles uses the same method to read and display both high-frequency and low-frequency access data. However, if the data volume of high-frequency access data is large, it will greatly slow down the enterprise profile generation rate and reduce the user's browsing experience.
[0006] To address the above problems, this invention proposes a solution. Summary of the Invention
[0007] The purpose of this invention is to provide an image transmission system for visual communication and display. In order to solve the problem that in the existing technology, the real-time reading method is used in the process of generating enterprise profiles. If the data volume is large and the access frequency is large, it will greatly delay the generation rate of enterprise profiles and reduce the user's browsing experience.
[0008] The objective of this invention can be achieved through the following technical solutions:
[0009] An image transmission system for visual communication display includes:
[0010] The data management unit collects multi-dimensional information data of all credit enterprises;
[0011] The behavior analysis unit analyzes the behavior of an authorized user browsing the enterprise portrait of a credit enterprise. By analyzing the triggering frequency of the authorized user based on each dimension and the data volume size of the information data of each dimension within t behavior cycles, the intention frequency and dimension data volume of all dimensions are obtained;
[0012] For each dimension, the data management unit compares the corresponding intention frequency and dimension data volume with the preset intention frequency and dimension data volume of the corresponding dimension respectively, and generates a reading strategy for each dimension based on the comparison result;
[0013] For a credit enterprise, the enterprise portrait unit generates portrait branches for each dimension of the credit enterprise based on the multi-dimensional information data thereof and based on the reading strategies of each dimension, and draws the enterprise portrait of the credit enterprise according to the portrait branches;
[0014] Further, the multi-dimensional information data of a credit enterprise includes basic information, market, intellectual property, legal litigation records, credit records, investors, human resources, customer and partner relationships, products and services.
[0015] Further, the steps for the behavior analysis unit to analyze and obtain the intention frequency and dimension data volume of all dimensions are specifically as follows:
[0016] S21: First, select a dimension of a credit enterprise as the dimension to be analyzed, and select an enterprise portrait of a credit enterprise as the portrait to be analyzed;
[0017] S22: Obtain the triggering frequencies of the dimension to be analyzed in t behavior cycles, which are respectively marked as A1, A2,..., Aa, a≥1. The triggering frequency of the dimension to be analyzed refers to the number of clicks on the detail display button corresponding to the dimension to be analyzed in the portrait to be analyzed within the behavior cycle. The t behavior cycles are t behavior cycles traced back from the current behavior cycle to the past;
[0018] S23: Use the formula , 1≤b≤a to calculate and obtain the discrete value B1 of the triggering frequency of the dimension to be analyzed in t behavior cycles, and compare the size of B1 and B. At this time, A is the average value of Ab, and B is the discrete threshold of the triggering frequency of the dimension to be analyzed;
[0019] If B1≥B, delete the corresponding Ab in descending order of |Ab - A|, and then calculate and obtain the discrete value B1 of the remaining Ab. At this time, compare the size of B1 and B again until B1 < B, and re-calibrate the average value of Ab participating in the calculation of the remaining discrete value B1 as the intention frequency of the dimension to be analyzed;
[0020] S24: Obtain the data volume of all credit enterprises corresponding to the dimension to be analyzed, and calculate its mean using the summation and averaging formula, and recalibrate it as the dimension data volume of the dimension to be analyzed;
[0021] S25: Select all dimensions of credit enterprises as the dimensions to be analyzed in sequence according to S21, and calculate and obtain the intention frequency and dimension data volume of all dimensions in sequence according to S22 to S24.
[0022] The behavior analysis module transmits the intention frequency and dimensional data volume of all dimensions obtained from the analysis to the data management unit for storage.
[0023] A data management method includes the following steps:
[0024] Step 1: The data management unit collects multi-dimensional information data of all credit enterprises and stores the information data of all credit enterprises in different dimensions into the corresponding dimension data tables;
[0025] Step 2: The behavior analysis unit analyzes the trigger frequency and data volume of authorized users based on each dimension within t behavior cycles to obtain the intention frequency and data volume of all dimensions, and then transmits them to the data management unit.
[0026] Step 3: After receiving the intention frequency and dimension data volume of all dimensions transmitted, the data management unit compares the corresponding intention frequency and dimension data volume of each dimension with the preset intention frequency and dimension data volume of the corresponding dimension.
[0027] Based on the comparison results, a reading strategy for each dimension is generated and transmitted to the enterprise profiling unit;
[0028] Step 4: After receiving the reading strategy transmitted to each dimension, the enterprise profiling unit generates a profile branch for each dimension of the credit enterprise based on the reading strategy of each dimension, and draws the enterprise profile of the credit enterprise based on it, and displays it to authorized users for browsing and viewing.
[0029] The beneficial effects of this invention are:
[0030] (1) This invention collects and manages multi-dimensional information data of all credit enterprises by setting up a data management unit, and analyzes the behavior of authorized users browsing the corporate profiles of credit enterprises to obtain the intention frequency and dimension data volume of all dimensions. The data management unit compares the intention frequency and dimension data volume of each dimension with the intention frequency and dimension data volume of the preset corresponding dimension. Based on the comparison results, a reading strategy for each dimension is generated. The corporate profile unit generates a profile analysis of each credit enterprise based on different dimensions based on the reading strategies of different dimensions. In the process of comparing and generating the reading strategy for each dimension, this invention extracts a number of character data from the dimension data table corresponding to the dimension with high click frequency and large data volume to generate a derivative data table for the corresponding dimension. In this way, storing the frequently accessed data in a separate table can make more effective use of the database cache. Database systems usually keep the recently accessed data in the cache. By separating the high-frequency data, it can ensure that more frequently used data stays in the cache, thereby improving performance and reducing contention for large tables, thereby reducing the possibility of lock contention.
[0031] (2) In this invention, for dimensions corresponding to the enterprise profile drawing, where there are derived data tables, data is preferentially read from these derived data tables. Furthermore, during the display of the enterprise profile, specific details of this data are simultaneously retrieved. When an authorized user clicks the details display button, the detailed information is displayed instantly. This method of storing and prioritizing a small amount of high-frequency data significantly reduces I / O operations, improves data retrieval speed, and quickly returns the data most relevant to the authorized user, enhancing the user experience. Users do not need to wait for all data to load before they can begin viewing and operating the most critical information. Attached Figure Description
[0032] The invention will now be further described with reference to the accompanying drawings.
[0033] Figure 1 This is a system block diagram of the present invention;
[0034] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation
[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0036] like Figure 1 , 2As shown, an image transmission system for visual communication displays includes an enterprise service platform and a browser module;
[0037] The enterprise service platform is used to manage and display enterprise profiles of creditworthy enterprises to authorized users. The enterprise service platform includes a data management unit, a behavior analysis unit, and an enterprise profile unit.
[0038] The data management unit periodically collects and stores multi-dimensional information data from several credit enterprises.
[0039] In one embodiment of the present invention, a credit enterprise refers to an enterprise that has been authorized by the enterprise service platform and is allowed to connect with the enterprise service platform;
[0040] In one embodiment of the present invention, the multi-dimensional information data of a credit enterprise includes basic information, market, intellectual property, legal litigation records, credit records, investors, human resources, customer and partner relationships, products and services;
[0041] In one embodiment of the present invention, the information data in the basic information dimension includes enterprise name, registered address, legal representative, registered capital, registration time, enterprise type, industry category, business scope, etc.; the information data in the market dimension includes macro data such as market size, market share, competitive situation, and industry development trends of the industry in which the enterprise operates; the information data in the intellectual property information dimension includes the ownership and application of intellectual property rights such as trademarks, patents, and copyrights; the information data in the legal litigation record dimension includes the enterprise's historical legal litigation and arbitration cases, etc.; the information data in the credit record dimension includes credit rating, loan records, repayment status, and bad credit records, etc.; the information data in the investor dimension includes information such as shareholder structure, major investors, and investment rounds; the information data in the human resources dimension includes employee size, structure, talent turnover rate, and training system, etc.; the information data in the customer and partner relationship dimension includes information on major customers, suppliers, and partners; and the information data in the product and service dimension includes the types of products and services provided by the enterprise, market share, customer feedback, etc.
[0042] The data management unit includes several dimension data tables and several preset number of characters to be read for each dimension. One dimension data table corresponds to one dimension of a credit enterprise. One dimension data table stores information data of all credit enterprises corresponding to that dimension. One dimension corresponds to one preset number of characters to be read.
[0043] The enterprise profiling unit is used to draw and display enterprise profiles of all creditworthy enterprises. The enterprise profiling unit pre-stores several label box images and label description box images.
[0044] In one embodiment of the present invention, the label frame image includes circles, rectangles, rhombuses, and triangles, and the label description box image includes circles, rectangles, rhombuses, and triangles;
[0045] The enterprise profiling unit generates corresponding enterprise profile data for each creditworthy enterprise based on multi-dimensional information data of all creditworthy enterprises. The steps for drawing an enterprise profile for a creditworthy enterprise are as follows:
[0046] S11: Select one dimension of the credit enterprise as the dimension to be drawn, and obtain the reading strategy of the dimension to be drawn stored in the enterprise profile unit;
[0047] S12: If the reading strategy for the dimension to be drawn carries the reading type as direct reading, then the image branch for the dimension to be drawn is generated according to the preset first generation rule, as follows:
[0048] S121: Obtain the preset number of characters E1 to be read and the storage address of the corresponding dimension data table from the reading strategy of the dimension to be drawn.
[0049] S122: Based on the storage address of the obtained dimension data table, retrieve the information data of the credit enterprise in the dimension to be drawn from the corresponding dimension data table, and according to the preset number of characters to be read E1, extract the first E1 characters of the information data of the credit enterprise in the dimension to be drawn in the order from left to right, and generate the initial display information data of the dimension to be drawn based on the extracted first E1 characters.
[0050] The information data of the credit enterprise in the dimension to be drawn will be used as the detailed display data of the dimension to be drawn;
[0051] S123: Select a label box image and a label description box image respectively, fill the label box image and the initial display information data of the dimension to be drawn into the label box image and the label description box image respectively, and connect the filled label box image and the label description box image with a straight line to obtain the portrait branch of the dimension to be drawn.
[0052] When filling the initial display information data of the dimension to be drawn into the label description box image, a details display button is set at the last character of the initial display information data in the label description box image. The details display button is bound to a trigger event, which stores the details display data of the dimension to be drawn.
[0053] When an authorized user clicks the details display button, its bound trigger event will be triggered, and the trigger event will display the details display data of the dimension to be drawn held within it to the authorized user for viewing;
[0054] It should be noted that unless otherwise specified by the creditworthy enterprise, the selected label box image is a circle by default, and the selected label description box image is a rectangle by default.
[0055] S13: If the reading strategy for the dimension to be drawn carries the reading type of indirect reading, then the image branch for the dimension to be drawn is generated according to the preset second generation rule, as follows:
[0056] S131: In the reading strategy of the dimension to be drawn, obtain the preset number of characters E1 corresponding to the dimension to be drawn and the storage address of the corresponding dimension derivative table and dimension data table.
[0057] S132: Based on the storage address of the obtained dimension derived table, find the corresponding dimension derived table, and retrieve the data of the credit enterprise from it, using it as the initial display information data of the dimension to be drawn;
[0058] S133: Select a label box image and a label description box image respectively, fill the label box image and the initial display information data of the dimension to be drawn into the label box image and the label description box image respectively, and connect the filled label box image and the label description box image with a straight line to obtain the portrait branch of the dimension to be drawn.
[0059] When the initial display information data of the dimension to be drawn is filled into the label description box image, a details display button is set at the last character of the initial display information data in the label description box image. The details display button is bound to a trigger event, which stores the storage address of the dimension data table corresponding to the dimension to be drawn.
[0060] S14: Select all dimensions of the credit enterprise as the dimensions to be drawn in sequence according to S11, and generate the profile branches of all dimensions of the credit enterprise in sequence according to S12 to S13.
[0061] S15: Select a circular label box image, fill the credit company's name into it, and use straight lines to connect all the profile branches of the credit company in all dimensions with the label box image filled with the credit company's name to obtain the credit company's profile. Specifically, connect the label description box image in each profile branch in all dimensions with the label box image filled with the credit company's name.
[0062] S16: Generate and store enterprise profiles for all creditworthy enterprises according to S11 to S15;
[0063] The browsing module is used to authorize users to browse the corporate profiles of creditworthy companies;
[0064] After the currently authorized user types in the retrieval information of the pre-viewed credit enterprise, the browsing end module obtains it and transmits it to the enterprise portrait unit;
[0065] After receiving the transmitted retrieval information, the enterprise portrait unit obtains the enterprise name of the credit enterprise carried therein, finds the enterprise portrait of the corresponding credit enterprise in the enterprise portrait unit, and displays it for the currently authorized user to view. During the display process, if the trigger event carried in the details display button bound to a certain dimension in the corresponding displayed enterprises contains the storage address of the dimension data table, the trigger event will be immediately triggered. The trigger event will automatically carry the enterprise name of the credit enterprise to obtain the information data of the corresponding dimension in the corresponding dimension data table. After obtaining all the data, when the currently authorized user clicks the details display button, the already obtained information data will be displayed for the currently authorized user to view;
[0066] In this embodiment, the retrieval information refers to the enterprise name of the credit enterprise;
[0067] The behavior analysis unit periodically analyzes the behaviors of the authorized users, and the specific analysis is as follows:
[0068] S21: First, select a dimension of the credit enterprise as the dimension to be analyzed, and select an enterprise portrait of a credit enterprise as the portrait to be analyzed;
[0069] S22: Obtain the trigger frequencies of the dimension to be analyzed in t behavior cycles, which are respectively marked as A1, A2,..., Aa, a≥1. The trigger frequency of the dimension to be analyzed refers to the number of clicks on the details display button in the label description box corresponding to the dimension to be analyzed in the portrait to be analyzed during this behavior cycle. The t behavior cycles are t behavior cycles traced back from the current behavior cycle to the past;
[0070] S23: Use the formula , 1≤b≤a to calculate and obtain the discrete value B1 of the trigger frequency of the dimension to be analyzed in t behavior cycles, and compare the sizes of B1 and B. At this time, A is the average value of Ab, and B is the discrete threshold of the trigger frequency of the dimension to be analyzed;
[0071] If B1≥B, delete the corresponding Ab in descending order of |Ab - A|, and then calculate and obtain the discrete value B1 of the remaining Ab. At this time, compare the sizes of B1 and B again until B1 < B. Re-calibrate the average value of Ab participating in the calculation of the remaining discrete value B1 at this time as the intention frequency of the dimension to be analyzed;
[0072] S24: Obtain the data capacity sizes of the information data corresponding to all credit enterprises in the dimension to be analyzed, and calculate and obtain its average value using the sum and average formula, and re-calibrate it as the dimension data volume of the dimension to be analyzed;
[0073] S25: Select all dimensions of the credit enterprise in sequence as the dimensions to be analyzed according to S21, and calculate and obtain the intention frequencies and dimension data volumes of all dimensions in sequence according to S22 to S25;
[0074] The behavior analysis module transmits the intention frequencies and dimension data volumes of all dimensions obtained through analysis to the data management unit for storage;
[0075] After receiving the transmitted intention frequencies and dimension data volumes of all dimensions, the data management unit generates read policies for all dimensions according to the preset determination generation rules, specifically as follows:
[0076] S31: First, select a dimension of the credit enterprise as the dimension to be evaluated, and obtain the intention frequency C1 and dimension data volume D1 of the dimension to be evaluated;
[0077] S32: Compare the sizes of C1 and PC1, D1 and PD1 in sequence, where PD1 and PD2 are the intention frequency comparison threshold and dimension data volume comparison threshold of the preset dimension to be evaluated respectively:
[0078] S321: If C1 < PC1, directly determine that the read type of the dimension to be evaluated is direct read, and generate a read policy for the dimension to be evaluated based on the determination result, the preset number of read characters corresponding to the dimension to be evaluated, and the storage address of its corresponding dimension data table. At this time, the size comparison between D1 and PD1 is no longer performed;
[0079] S322: If C1 ≥ PC1 and D1 ≥ PD1, determine that the read type of the dimension to be evaluated is indirect read, and generate a dimension derivative table for the dimension to be evaluated based on the corresponding dimension data table of the dimension to be evaluated according to the preset derivative steps. The derivative steps are as follows:
[0080] Obtain the preset number of read characters G1 corresponding to the dimension to be evaluated, and based on it, extract the first G1 characters from the information data of each credit enterprise in the dimension to be evaluated in the order from left to right according to the information data of each credit enterprise in the dimension to be evaluated, and generate a dimension derivative table for the dimension to be evaluated based on it, and store it;
[0081] Generate a read policy for the dimension to be evaluated based on the determination result, the generated dimension derivative table of the dimension to be evaluated, and the storage address of its corresponding dimension data table;
[0082] S323: If C1 ≥ PC1 and D1 < PD1, determine that the read type of the dimension to be evaluated is direct read, and generate a read policy for the dimension to be evaluated based on the determination result, the preset number of read characters corresponding to the dimension to be evaluated, and the storage address of its corresponding dimension data table;
[0083] S33: Select all dimensions of the credit enterprise as the dimensions to be evaluated in sequence according to S31, and generate the reading strategy for all dimensions according to S32;
[0084] The data management unit transmits the reading strategies for all dimensions generated to the enterprise profiling unit for updating and storage;
[0085] In the description of this specification, the terms "an embodiment," "example," "specific example," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. The above description is merely illustrative and explanatory of the present invention. Various modifications or additions to the described specific embodiments or similar substitutions made by those skilled in the art, as long as they do not depart from the invention or exceed the scope defined by the claims, should fall within the protection scope of the present invention.
[0086] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.
Claims
1. An image transmission system for visual communication presentations, characterized by, Comprise: A data management unit collects multi-dimensional information data of all credit enterprises; An action analysis unit analyzes the behavior of authorized users in browsing the enterprise portrait of a credit enterprise, and obtains the intention frequency and dimension data volume of all dimensions by analyzing the trigger frequency of each dimension and the data capacity of each dimension information data of the authorized users in t behavior cycles; For each dimension, the data management unit compares the intention frequency and dimension data volume corresponding to each dimension with the preset intention frequency and dimension data volume of the corresponding dimension, respectively, and generates a reading strategy for each dimension based on the comparison result; For a credit enterprise, the enterprise portrait unit generates a portrait branch for each dimension of the credit enterprise based on the reading strategy of each dimension according to the multi-dimensional information data of the credit enterprise, and draws the enterprise portrait of the credit enterprise according to the portrait branch.
2. An image transmission system for visual communication display according to claim 1, characterized in that, The multi-dimensional information data of a credit enterprise includes basic information, market, intellectual property, legal litigation records, credit records, investors, human resources, customer and partner relationships, products and services.
3. An image transmission system for visual communication display according to claim 1, wherein, The steps of the action analysis unit for analyzing the intention frequency and dimension data volume of all dimensions are as follows: S21: First, select a dimension of a credit enterprise as the dimension to be analyzed, and select an enterprise portrait of a credit enterprise as the portrait to be analyzed; S22: Obtain the trigger frequency of the dimension to be analyzed in t behavior cycles, and mark them as A1, A2,..., Aa, a>1, the trigger frequency of the dimension to be analyzed refers to the number of times of clicking the detail display button in the label description box corresponding to the dimension to be analyzed in the portrait to be analyzed in the behavior cycle, and the t behavior cycles are t behavior cycles from the current behavior cycle to the past; S23: calculate the discrete value B1 of the dimension trigger frequency to be analyzed in the t behavior cycles by using the formula , 1≤b≤a, compare B1 and B, where A is the average value of Ab, and B is the discrete threshold of the dimension trigger frequency to be analyzed. If B1>B, delete the corresponding Ab in the order of |Ab-A| from large to small, and then calculate the discrete value B1 of the remaining Ab, then compare B1 and B again, until B1B, the average value of Ab participating in the calculation of the remaining discrete value B1 is recalibrated as the intention frequency of the dimension to be analyzed; S24: Obtain the data capacity of the information data of all credit enterprises corresponding to the dimension to be analyzed, and calculate the mean value by using the sum and average formula, and then recalibrate it as the dimension data volume of the dimension to be analyzed; S25: Select all dimensions of a credit enterprise as the dimension to be analyzed in turn according to S21, and calculate the intention frequency and dimension data volume of all dimensions in turn according to S22 to S24; The action analysis module transmits the intention frequency and dimension data volume of all dimensions obtained by analysis to the data management unit for storage.
4. An image transmission system for visual communication display according to claim 1, wherein, The preset determination generation rule of the data management unit for generating the reading strategy of each dimension is as follows: S31: First, select a dimension of a credit enterprise as the dimension to be evaluated, and obtain the intention frequency C1 and dimension data volume D1 of the dimension to be evaluated; S32: Compare C1 and PC1, D1 and PD1 in turn, and PD1 and PD2 are respectively the preset intention frequency comparison threshold and dimension data volume comparison threshold of the dimension to be evaluated: S321: If C1<PC1, it is directly determined that the reading type of the dimension to be evaluated is direct reading, and the reading strategy of the dimension to be evaluated is generated according to the determination result, the preset reading character number corresponding to the dimension to be evaluated and the storage address of the dimension data table corresponding thereto, at this time, the size comparison of D1 and PD1 is no longer performed; S322: If C1≥PC1 and D1≥PD1, it is determined that the reading type of the dimension to be evaluated is indirect reading, and the dimension derivation table of the dimension to be evaluated is generated according to the preset derivation step based on the dimension data table corresponding to the dimension to be evaluated, and the derivation step is as follows: Obtaining the preset reading character number G1 corresponding to the dimension to be evaluated, and extracting the first G1 characters in the information data of each credit enterprise in the dimension to be evaluated according to the order from left to right based on the information data of each credit enterprise in the dimension to be evaluated, and generating the dimension derivation table of the dimension to be evaluated according to the dimension derivation table, and storing the dimension derivation table; According to the determination result, the generated dimension derivation table of the dimension to be evaluated and the storage address of the dimension data table corresponding thereto, the reading strategy of the dimension to be evaluated is generated; S323: If C1≥PC1 and D1<PD1, it is determined that the reading type of the dimension to be evaluated is direct reading, and the reading strategy of the dimension to be evaluated is generated according to the determination result, the preset reading character number corresponding to the dimension to be evaluated and the storage address of the dimension data table corresponding thereto; S33: According to S31, all dimensions of the credit enterprise are selected as the dimension to be evaluated, and the reading strategy of all dimensions is generated according to S32.
5. An image transmission system for visual communication display according to claim 4, characterized in that, The steps of drawing the enterprise portrait of a credit enterprise by the enterprise portrait unit are as follows: S11: Selecting a dimension of the credit enterprise as the dimension to be drawn, and obtaining the reading strategy of the dimension to be drawn stored in the enterprise portrait unit; S12: If the reading type carried in the reading strategy of the dimension to be drawn is direct reading, the portrait branch of the dimension to be drawn is generated according to the preset first generation rule; S13: If the reading type carried in the reading strategy of the dimension to be drawn is indirect reading, the portrait branch of the dimension to be drawn is generated according to the preset second generation rule; S14: According to S11, all dimensions of the credit enterprise are selected as the dimension to be drawn, and the portrait branches of all dimensions of the credit enterprise are generated according to S12 to S13; S15: Selecting a circular label box image, filling the enterprise name of the credit enterprise into the label box image, and connecting the portrait branches of all dimensions of the credit enterprise and the label box image filled with the enterprise name of the credit enterprise by using straight lines to obtain the enterprise portrait of the credit enterprise, and specifically, connecting the label description box image in each dimension portrait branch and the label box image filled with the enterprise name of the credit enterprise; S16: According to S11 to S15, the enterprise portraits of all credit enterprises are generated and stored.
6. An image transmission system for visual communication display according to claim 5, wherein, The preset first generation rule for generating the dimension portrait branch to be drawn in S12 is as follows: S121: Obtaining the preset reading character number E1 corresponding to the dimension to be drawn and the storage address of the dimension data table corresponding thereto carried in the reading strategy of the dimension to be drawn; S122: According to the storage address of the dimension data table obtained, the information data of the credit enterprise in the dimension to be drawn is obtained from the corresponding dimension data table, and according to the preset reading character number E1 obtained, the first E1 characters in the information data of the credit enterprise in the dimension to be drawn are intercepted in sequence from left to right, and the initial display information data of the dimension to be drawn is generated according to the first E1 characters intercepted; The information data of the credit enterprise in the dimension to be drawn obtained is taken as the detail display data of the dimension to be drawn; S123: Select a label box image and a label description box image respectively, fill the dimension to be drawn and the initial display information data into the label box image and the label description box image respectively, and connect the filled label box image and the label description box image with a straight line to obtain the portrait branch of the dimension to be drawn; Wherein, when the initial display information data of the dimension to be drawn is filled into the label description box image, a detail display button is arranged at the last character of the initial display information data in the label description box image, the detail display button is bound with a trigger event, and the trigger event stores the detail display data of the dimension to be drawn; When the authorized user clicks the detail display button, the trigger event bound with the detail display button will be triggered, and the trigger event will display the detail display data of the dimension to be drawn held in the trigger event to the authorized user for viewing.
7. An image transmission system for visual communication display according to claim 5, wherein, The preset second generation rule for generating the dimension portrait branch to be drawn in the S13 is as follows: S131: The reading strategy of the dimension to be drawn obtains the preset reading character number E1 corresponding to the dimension to be drawn and the storage addresses of the dimension derivative table and the dimension data table carried in the reading strategy of the dimension to be drawn; S132: According to the storage address of the dimension derivative table obtained, the corresponding dimension derivative table is found, and the data of the credit enterprise is obtained therefrom as the initial display information data of the dimension to be drawn; S133: Select a label box image and a label description box image respectively, fill the dimension to be drawn and the initial display information data into the label box image and the label description box image respectively, and connect the filled label box image and the label description box image with a straight line to obtain the portrait branch of the dimension to be drawn; Wherein, when the initial display information data of the dimension to be drawn is filled into the label description box image, a detail display button is arranged at the last character of the initial display information data in the label description box image, the detail display button is bound with a trigger event, and the trigger event stores the storage address of the dimension data table corresponding to the dimension to be drawn; When the trigger event is triggered, the information data of the dimension to be drawn is automatically obtained from the corresponding dimension data table based on the storage address of the dimension data table corresponding to the dimension to be drawn, and the information data of the credit enterprise is obtained completely. When the authorized user clicks the detail display button, the information data of the dimension to be drawn is displayed to the authorized user for viewing.
8. An image transmission system for visual communication display according to claim 7, characterized in that, It also includes a browsing terminal module for authorized users to retrieve and browse the enterprise portrait of the credit enterprise; The authorized user currently enters the enterprise name of the pre-browsing credit enterprise, and the browsing terminal module acquires the enterprise name and transmits it to the enterprise portrait unit. After the enterprise portrait unit receives the transmitted enterprise name of the pre-browsing credit enterprise, the enterprise portrait corresponding to the enterprise name is found, and the enterprise portrait is displayed to the authorized user for viewing. During the display process, if the trigger event of the detail display button of a certain dimension in the displayed enterprise portrait exists, and the trigger event carries the storage address of the dimension data table, the trigger event is automatically triggered.
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Data management system
CN121560906A
