Form configuration method and system, terminal and storage medium

Abstract

The invention relates to a form configuration method and system, a terminal and a storage medium, and the method comprises the steps: obtaining business demand data of a user, and carrying out the feature extraction of the business demand data, and obtaining business demand feature point data; transmitting the service demand feature point data to a pre-trained configuration model for comparative analysis to obtain form configuration demand data; obtaining user-defined adjustment data, and combining the user-defined adjustment data with the form configuration demand data to obtain a demand form of the user; the demand form of the user and the workflow are integrated and displayed at the user side, so that the working efficiency and the management level are improved. The method has the effect of improving the working efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of electronic work order configuration, and in particular to a form configuration method, system, terminal and storage medium. Background Art

[0002] Currently, in current electronic work order systems, form configuration is usually implemented through hard coding or simple configuration templates. This approach lacks flexibility and cannot be quickly adjusted and optimized according to actual needs. Traditional electronic work order systems usually provide fixed form templates for users to use, or allow users to adjust the form with limited customization options.

[0003] The above-mentioned existing technical solutions have the following defects: the form configuration method of the existing technology lacks sufficient flexibility and cannot be finely configured according to the specific needs of users, resulting in users encountering many restrictions during use, affecting work efficiency and user experience, so there is room for improvement. Summary of the invention

[0004] In order to improve work efficiency, the present application provides a form configuration method, system, terminal and storage medium.

[0005] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A form configuration method, the form configuration method comprising: Acquire the user's business demand data, and perform feature extraction on the business demand data to obtain business demand feature point data; The business requirement feature point data is transmitted to a pre-trained configuration model for comparison and analysis to obtain form configuration requirement data; Acquire the user-defined adjustment data, and combine the user-defined adjustment data with the form configuration requirement data to obtain the user's requirement form; The user's demand form is integrated with the workflow and displayed on the user side to improve work efficiency and management level.

[0006] By adopting the above technical solutions, by obtaining the user's business demand data, it is ensured that the system has the business information required by the user, providing a basis for subsequent analysis and configuration, and identifying and extracting key feature point data from the business demand data submitted by the user, which helps to convert complex business needs into actionable data points; by matching the extracted feature point data with the pre-trained configuration model to identify and generate form configuration demand data that meets user needs, the accuracy of business demand analysis is improved; by obtaining user custom adjustment data, the user's custom adjustment is combined with the form configuration requirements generated by the model to generate a form that meets business needs and has personalized features, which increases the flexibility and adaptability of the system and ensures that the form is more in line with the user's actual needs; by closely integrating the user-customized form with the workflow, the business process is automated, manual intervention is reduced, and work efficiency is improved.

[0007] In a preferred example, the present application may be further configured as follows: the acquiring of the user's business demand data and feature extraction of the business demand data to obtain business demand feature point data include: Acquire the user's business demand data through a user input interface, wherein the business demand data includes business type, processing flow, data field and operation authority; Analyze the business demand data based on a linear discriminant analysis method to extract key feature point information; The feature point information is structured to generate the business demand feature point data.

[0008] By adopting the above technical solution, through the user input interface, users can easily submit their own business needs, including business type, processing flow, data fields and operation permissions and other information. The business demand data submitted by users covers the key aspects of the business, ensuring the comprehensiveness and depth of the analysis; the linear discriminant analysis method is used to analyze the business demand data. Through linear discriminant analysis, the feature point information that is most critical for distinguishing business needs can be extracted, thereby improving the accuracy of feature extraction; the feature point information is structured, and unstructured or semi-structured data is converted into a structured form that is easy for computer processing and analysis, making the feature point information more orderly and easy to process, and facilitating subsequent storage, query and analysis.

[0009] In a preferred example, the present application may be further configured as follows: before transmitting the business requirement feature point data to a pre-trained configuration model for comparison and analysis to obtain the form configuration requirement data, the form configuration method further includes: Acquire historical form configuration data of various business types, and perform labeling processing on the historical form configuration data of various business types to obtain a training set; A configuration model is constructed based on a convolutional neural network, the configuration model is trained by forward propagation and back propagation using the training set, and the configuration model after the forward propagation and back propagation training is optimized using a genetic algorithm to obtain the pre-trained configuration model.

[0010] By adopting the above technical solution, by collecting the form configuration data used in the past by different business types, classifying and annotating the collected form configuration data, and assigning a label to each data point to represent its business type or characteristics, it helps the model to better learn and distinguish the form configurations of different business types; building a configuration model based on a convolutional neural network, using a training set to train the configuration model through forward propagation and back propagation, and using a genetic algorithm to tune the configuration model after forward propagation and back propagation training to obtain a pre-trained configuration model, which helps to automate and optimize business processes, reduce manual configuration work, and improve user experience and business efficiency.

[0011] In a preferred example, the present application can be further configured as follows: the business requirement feature point data is transmitted to a pre-trained configuration model for comparison and analysis, and the form configuration requirement data obtained includes: Preprocessing the business demand feature point data to obtain preprocessed feature point data; The preprocessed feature point data is compared and analyzed with the data in the pre-trained configuration model to match the optimal form configuration solution, and the form configuration requirement data is output to obtain the form configuration requirement data.

[0012] By adopting the above technical solution, the business demand feature point data is preprocessed to obtain preprocessed feature point data, which is more suitable for model analysis and can more accurately reflect the key information of business needs; the preprocessed feature point data is compared and analyzed with the data in the pre-trained configuration model to match the optimal form configuration solution to ensure that the selected configuration solution best meets the user's actual needs, and the form configuration requirement data is output, which ensures that the output form configuration solution is both accurate and highly customizable to meet the specific needs of different users.

[0013] In a preferred example, the present application may be further configured as follows: the obtaining of the user customized adjustment data, combining the customized adjustment data with the form configuration requirement data, and obtaining the user's requirement form includes: Providing a user-defined adjustment interface, allowing the user to adjust the form configuration scheme corresponding to the form configuration requirement data; The user's customized adjustment data is acquired and recorded through the customized adjustment interface, and combined with the form configuration requirement data to generate the user's requirement form.

[0014] By adopting the above technical solution, a user-defined adjustment interface is provided, allowing users to directly participate in the form configuration process, thereby improving user satisfaction and sense of participation; through the customized adjustment interface, the system can obtain and record the user's adjustment data, and the system combines the user's customized adjustment data with the pre-generated form configuration requirement data to dynamically generate the user's requirement form, thereby realizing instant customization of the form.

[0015] In a preferred example, the present application can be further configured as follows: the form configuration method further includes: Provides real-time preview function for form configuration. Users can preview the actual effect at any time when configuring the form to ensure that the configured form meets user needs; Set up form version management function, allowing users to save and roll back different versions of the form so as to restore to the previous configuration state when needed; Obtain user feedback information, and adjust the pre-trained configuration model according to the user feedback information to optimize parameter data of the configuration model.

[0016] By adopting the above technical solution, a real-time preview function is provided, and users can immediately see the effects of changes when configuring the form, which helps to ensure that the final form design meets the user's expectations and needs, enhances the user's interactive experience, and enables users to intuitively see the impact of configuration changes on the form, so as to make more accurate adjustments; through the version management function, users can save different configuration versions of the form, providing a flexible way to track and compare the change history of the form, allowing users to roll back to the previous configuration state when necessary, which provides security for users when faced with unsatisfactory changes or need to revert to an old version; by obtaining user feedback information, the system can collect direct user opinions on the form configuration, adjust the configuration model according to user feedback, optimize the parameters and performance of the model, make the model more accurately meet the actual needs of users, and improve the adaptability of the system and user satisfaction.

[0017] The second object of the invention is achieved by the following technical solutions: A form configuration system, the form configuration system comprising: The demand acquisition module is used to acquire the user's business demand data and perform feature extraction on the business demand data to obtain business demand feature point data; A model analysis module is used to transmit the business demand feature point data to a pre-trained configuration model for comparison and analysis to obtain form configuration demand data; A form obtaining module is used to obtain the user's customized adjustment data, and obtain the user's required form by combining the customized adjustment data with the form configuration requirement data; The integration module is used to integrate the user's demand form with the workflow and display it on the user side to improve work efficiency and management level.

[0018] By adopting the above technical solutions, by obtaining the user's business demand data, it is ensured that the system has the business information required by the user, providing a basis for subsequent analysis and configuration, and identifying and extracting key feature point data from the business demand data submitted by the user, which helps to convert complex business needs into actionable data points; by matching the extracted feature point data with the pre-trained configuration model to identify and generate form configuration demand data that meets user needs, the accuracy of business demand analysis is improved; by obtaining user custom adjustment data, the user's custom adjustment is combined with the form configuration requirements generated by the model to generate a form that meets business needs and has personalized features, which increases the flexibility and adaptability of the system and ensures that the form is more in line with the user's actual needs; by closely integrating the user-customized form with the workflow, the business process is automated, manual intervention is reduced, and work efficiency is improved.

[0019] The third objective of the present application is achieved through the following technical solutions: A computer terminal comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned form configuration method are implemented.

[0020] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned form configuration method are implemented.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. By obtaining the user's business demand data, the system ensures that it has the business information required by the user, providing a basis for subsequent analysis and configuration. From the business demand data submitted by the user, key feature point data is identified and extracted, which helps to convert complex business needs into actionable data points. By matching the extracted feature point data with the pre-trained configuration model, the form configuration demand data that meets the user's needs is identified and generated, thereby improving the accuracy of business demand analysis; 2. By obtaining user-defined adjustment data, combining the user's customized adjustments with the form configuration requirements generated by the model, a form that meets business needs and has personalized features is generated, which increases the flexibility and adaptability of the system and ensures that the form is more in line with the user's actual needs; by closely integrating user-customized forms with work processes, the business process is automated, manual intervention is reduced, and work efficiency is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a flow chart of a form configuration method in an embodiment of the present application; Figure 2 is a flowchart for implementing S10 in a form configuration method in an embodiment of the present application; Figure 3 This is an implementation flow chart of S20 in a form configuration method in an embodiment of the present application; Figure 4 is a flowchart for implementing S20 in a form configuration method in an embodiment of the present application; Figure 5 is a flowchart for implementing S30 in a form configuration method in an embodiment of the present application; Figure 6 This is a flowchart of a form configuration method in an embodiment of the present application; Figure 7 This is a principle block diagram of a form configuration system in an embodiment of the present application; Figure 8 It is a schematic diagram of a terminal in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The present application is further described in detail below in conjunction with the accompanying drawings.

[0024] In one embodiment, if Figure 1 As shown, the present application discloses a form configuration method, which specifically includes the following steps: S10: Obtain the user's business demand data, and perform feature extraction on the business demand data to obtain business demand feature point data.

[0025] Specifically, the system collects the specific demand data of users when performing business operations, applies feature extraction technology to the collected business demand data, identifies key information and patterns, organizes the extracted features into data sets, forms business demand feature points, and obtains a set of concise and representative data that can accurately reflect the business needs of users.

[0026] S20: The business requirement feature point data is transmitted to a pre-trained configuration model for comparison and analysis to obtain form configuration requirement data.

[0027] Specifically, the business requirement feature point data is input into a pre-trained configuration model. The model analyzes the feature point data and compares it with existing templates or rules to determine the configuration requirements. The configuration model outputs the analysis results, provides specific requirements for form configuration, and generates form configuration data that meets user business needs, providing a basis for customized forms.

[0028] S30: Obtain user customized adjustment data, and combine the customized adjustment data with form configuration requirement data to obtain the user's requirement form.

[0029] Specifically, users are allowed to customize the form configuration according to their preferences, obtain user customized adjustment data, combine the user's customized adjustments with the form configuration requirements generated by the model, and generate a form that meets business needs and has personalized features, or adjust the format and content of the form according to actual needs. The system integrates the overall data and generates the final user requirement form.

[0030] S40: Integrate the user's demand form with the workflow and display it on the user side to improve work efficiency and management level.

[0031] Specifically, the customized form is integrated into the user's workflow management system, making the form a part of the workflow, improving the coherence and consistency of business processing, and displaying the workflow integrated with the required form on the user's device or platform. Users can use the customized form directly in the familiar interface to improve work efficiency and business management level.

[0032] By adopting the above technical solutions, by obtaining the user's business demand data, it is ensured that the system has the business information required by the user, providing a basis for subsequent analysis and configuration, and identifying and extracting key feature point data from the business demand data submitted by the user, which helps to convert complex business needs into actionable data points; by matching the extracted feature point data with the pre-trained configuration model to identify and generate form configuration demand data that meets user needs, the accuracy of business demand analysis is improved; by obtaining user custom adjustment data, the user's custom adjustment is combined with the form configuration requirements generated by the model to generate a form that meets business needs and has personalized features, which increases the flexibility and adaptability of the system and ensures that the form is more in line with the user's actual needs; by closely integrating the user-customized form with the workflow, the business process is automated, manual intervention is reduced, and work efficiency is improved.

[0033] In one embodiment, if Figure 2 As shown, in S10, the user's business demand data is obtained, and features are extracted from the business demand data to obtain business demand feature point data, which specifically includes: S11: Obtaining the user's business demand data through the user input interface, where the business demand data includes business type, processing flow, data field and operation authority.

[0034] Specifically, a user interface is provided to allow users to input their business requirements, and the user's business requirement data is obtained through the user input interface. The business requirement data includes business type, processing flow, data field and operation authority, the type of business the user wants to process, such as sales, procurement, and service; the steps and sequence of business processing, which may include approval, recording, analysis and other links; data items that need to be collected or processed during the business process, such as customer information, product details, transaction amount, etc.; the access and operation authority of different users or roles in business processing.

[0035] S12: Analyze the business demand data based on the linear discriminant analysis method to extract key feature point information.

[0036] Specifically, the linear discriminant analysis method is used to analyze the input business demand data. The patterns in the business demand data are discovered through the linear discriminant analysis method. Key feature points that help distinguish different business needs are extracted from the business demand data, and key factors that affect business processes and decisions are identified, providing a basis for subsequent structured processing and feature point data generation.

[0037] S13: Perform structured processing on the feature point information to generate business demand feature point data.

[0038] Specifically, the extracted key feature point information is converted into a structured format, such as a database table, XML file, or JSON object, to make the feature point information more orderly and easy to process, which is convenient for subsequent storage, query, and analysis. Based on the results of structured processing, the feature point data required by the business is generated.

[0039] In one embodiment, if Figure 3 As shown, before S20, that is, before the business requirement feature point data is transmitted to the pre-trained configuration model for comparison and analysis to obtain the form configuration requirement data, the form configuration method further includes: S201: Acquire historical form configuration data of various business types, and perform labeling processing on the historical form configuration data of various business types to obtain a training set.

[0040] Specifically, the form configuration data used in the past by different business types are collected. This data includes the structure, fields, processes, etc. of the form. The collected form configuration data is classified and labeled, and a label is assigned to each data point to represent its business type or characteristics. The labeled data is organized into a training set, which will be used to train the machine learning model and provide input for the model so that it can learn how to identify business types based on the form configuration data.

[0041] S202: construct a configuration model based on a convolutional neural network, perform forward propagation and back propagation training on the configuration model using a training set, and use a genetic algorithm to tune the configuration model after the forward propagation and back propagation training to obtain a pre-trained configuration model.

[0042] Specifically, a configuration model is built based on a convolutional neural network. The model can process form configuration data, extract features and learn. The configuration model is trained by forward propagation and back propagation using a training set. Through the training process, the model learns how to accurately classify the input form configuration data, and uses a genetic algorithm to optimize the hyperparameters of the trained model, such as adjusting the number of network layers, the number of neurons, the learning rate, etc., to obtain a pre-trained configuration model.

[0043] In one embodiment, if Figure 4 As shown, in S20, the business demand feature point data is transmitted to the pre-trained configuration model for comparison and analysis to obtain the form configuration demand data, which specifically includes: S21: Preprocessing the business demand feature point data to obtain preprocessed feature point data.

[0044] Specifically, the extracted business demand feature point data is preprocessed to better meet the input requirements of the configuration model. The preprocessing includes normalization, denoising, encoding conversion, etc. After completing the preprocessing steps, cleaner and standardized feature point data is obtained to ensure the data quality input into the configuration model and improve the accuracy of model analysis and matching.

[0045] S22: Compare and analyze the preprocessed feature point data with the data in the pre-trained configuration model, match the optimal form configuration solution, and output the form configuration requirement data.

[0046] Specifically, the preprocessed feature point data is input into the pre-trained configuration model and compared with the data inside the model. Calculation and reasoning are performed inside the configuration model. The optimal form configuration is determined based on the similarity between the business demand feature points and the historical data. The configuration model outputs the matched optimal form configuration solution in the form of data. The model outputs the form configuration data that best matches the current business needs, saving users configuration time and improving work efficiency.

[0047] In one embodiment, if Figure 5 As shown, in S30, the user's customized adjustment data is obtained, and the user's requirement form is obtained by combining the customized adjustment data and the form configuration requirement data, which specifically includes: S31: Providing a user-defined adjustment interface, allowing the user to adjust the form configuration scheme corresponding to the form configuration requirement data.

[0048] Specifically, a user interface is designed to enable users to personalize the pre-matched form configuration scheme. Users can modify the layout, fields, processes and other elements of the form according to their own needs and preferences. Users can modify various aspects of the form configuration scheme through the customized adjustment interface, such as adding or deleting fields, changing the order of fields, adjusting the style, etc.

[0049] S32: Obtain and record the user's customized adjustment data through the customized adjustment interface, and generate the user's demand form in combination with the form configuration demand data.

[0050] Specifically, all changes made by the user in the custom adjustment interface are captured and recorded in real time, the changes made by the user through the custom adjustment interface are combined with the form configuration requirement data obtained from the model analysis, and the final form is generated in combination with the user's custom adjustment form configuration plan.

[0051] In one embodiment, if Figure 6 As shown, the form configuration method also includes: S50: Provides real-time preview function for form configuration. Users can preview the actual effect at any time when configuring the form to ensure that the configured form meets user needs.

[0052] Specifically, the system provides a real-time preview interface, where users can instantly see the actual display effect of the form during the form configuration process. Users can ensure that the layout, format, and content of the form meet their business needs and aesthetic standards, and make timely adjustments to avoid incorrect or unsatisfactory configurations.

[0053] S60: Set up form version management function to allow users to save and roll back different versions of the form so that they can restore to the previous configuration state when needed.

[0054] Specifically, the system is equipped with a version management function that allows users to save multiple versions of a form and switch or roll back between different versions, providing flexibility and security. Users can easily restore to a previously stable or satisfactory version when trying new configuration changes.

[0055] S70: Obtain user feedback information, and adjust the pre-trained configuration model according to the user feedback information to optimize parameter data of the configuration model.

[0056] Specifically, collect user feedback when using the form configuration function, which may include user satisfaction, usage experience, problems encountered, etc., and use the collected user feedback information to adjust the pre-trained configuration model to optimize the model's parameters and performance, such as learning rate, network structure, training data weight, etc. Through parameter adjustment, the model can more accurately predict and match the user's form configuration requirements, thereby improving the quality and efficiency of intelligent configuration.

[0057] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0058] In one embodiment, a form configuration system is provided, and the form configuration system corresponds one-to-one to a form configuration method in the above embodiment. Figure 7 As shown, the form configuration system includes a demand acquisition module, a model analysis module, a form acquisition module and an integration module. The detailed description of each functional module is as follows: The demand acquisition module is used to obtain the user's business demand data and perform feature extraction on the business demand data to obtain business demand feature point data; Model analysis module, used to transfer business demand feature point data to the pre-trained configuration model for comparison and analysis to obtain form configuration demand data; Get the form module, used to obtain the user's customized adjustment data, and combine the customized adjustment data with the form configuration requirement data to obtain the user's requirement form; The integration module is used to integrate the user's demand form with the workflow and display it on the user side to improve work efficiency and management level.

[0059] Optionally, the form configuration system further includes: The preview module is used to provide a real-time preview function for form configuration. Users can preview the actual effect at any time when configuring the form to ensure that the configured form meets user needs; The version management module is used to set the form version management function, allowing users to save and roll back different versions of the form so as to restore to the previous configuration state when needed; The feedback module is used to obtain user feedback information and adjust the pre-trained configuration model according to the user feedback information to optimize the parameter data of the configuration model.

[0060] The historical data acquisition module is used to acquire the historical form configuration data of various business types, and label the historical form configuration data of various business types to obtain a training set; The model training module is used to build a configuration model based on a convolutional neural network, use the training set to perform forward propagation and back-propagation training on the configuration model, and use a genetic algorithm to tune the configuration model after forward propagation and back-propagation training to obtain a pre-trained configuration model.

[0061] Optionally, the requirements module includes: The input interface data acquisition submodule is used to obtain the user's business demand data through the user input interface. The business demand data includes business type, processing flow, data field and operation authority; The analysis and processing submodule is used to analyze the business demand data based on the linear discriminant analysis method and extract key feature point information; The structured submodule is used to perform structured processing on feature point information and generate feature point data required by business needs.

[0062] Optionally, the model analysis module includes: The preprocessing submodule is used to preprocess the business demand feature point data to obtain preprocessed feature point data; The comparison and analysis submodule is used to compare and analyze the preprocessed feature point data with the data in the pre-trained configuration model, match the optimal form configuration solution, and output the form configuration requirement data.

[0063] Optionally, get the form module including: The scheme adjustment submodule is used to provide a user-defined adjustment interface, allowing the user to adjust the form configuration scheme corresponding to the form configuration requirement data; The generation submodule is used to obtain and record user customized adjustment data through the customized adjustment interface, and generate the user's demand form in combination with the form configuration demand data.

[0064] For the specific definition of a form configuration system, please refer to the definition of a form configuration method above, which will not be repeated here. Each module in the above-mentioned form configuration system can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer terminal in the form of hardware, or can be stored in the memory in the computer terminal in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0065] In one embodiment, a computer terminal is provided. The computer terminal may be a server, and its internal structure diagram may be as follows: Figure 8 As shown. The computer terminal includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer terminal is used to provide computing and control capabilities. The memory of the computer terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer terminal is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a form configuration method is implemented.

[0066] In one embodiment, a computer terminal is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Obtain the user's business demand data, and perform feature extraction on the business demand data to obtain business demand feature point data; The business requirement feature point data is transferred to the pre-trained configuration model for comparison and analysis to obtain the form configuration requirement data; Obtain user customized adjustment data, combine the customized adjustment data with form configuration requirement data, and obtain the user's requirement form; Integrate user demand forms with workflows and display them on the user side to improve work efficiency and management level.

[0067] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Obtain the user's business demand data, and perform feature extraction on the business demand data to obtain business demand feature point data; The business requirement feature point data is transferred to the pre-trained configuration model for comparison and analysis to obtain the form configuration requirement data; Obtain user customized adjustment data, combine the customized adjustment data with form configuration requirement data, and obtain the user's requirement form; Integrate user demand forms with workflows and display them on the user side to improve work efficiency and management level.

[0068] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0069] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0070] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A form configuration method, characterized in that: The form configuration method comprises: Acquire the user's business demand data, and perform feature extraction on the business demand data to obtain business demand feature point data; The business requirement feature point data is transmitted to a pre-trained configuration model for comparison and analysis to obtain form configuration requirement data; Acquire the user-defined adjustment data, and combine the user-defined adjustment data with the form configuration requirement data to obtain the user's requirement form; The user's demand form is integrated with the workflow and displayed on the user side to improve work efficiency and management level.

2. A form configuration method according to claim 1, characterized in that: The acquiring of the user's business demand data and performing feature extraction on the business demand data to obtain business demand feature point data includes: Acquire the user's business demand data through a user input interface, wherein the business demand data includes business type, processing flow, data field and operation authority; Analyze the business demand data based on a linear discriminant analysis method to extract key feature point information; The feature point information is structured to generate the business demand feature point data.

3. A form configuration method according to claim 1, characterized in that: Before transmitting the business requirement feature point data to a pre-trained configuration model for comparison and analysis to obtain form configuration requirement data, the form configuration method further includes: Acquire historical form configuration data of various business types, and perform labeling processing on the historical form configuration data of various business types to obtain a training set; A configuration model is constructed based on a convolutional neural network, the configuration model is trained by forward propagation and back propagation using the training set, and the configuration model after the forward propagation and back propagation training is optimized using a genetic algorithm to obtain the pre-trained configuration model.

4. A form configuration method according to claim 3, characterized in that: The business requirement feature point data is transmitted to a pre-trained configuration model for comparison and analysis to obtain form configuration requirement data, including: Preprocessing the business demand feature point data to obtain preprocessed feature point data; The preprocessed feature point data is compared and analyzed with the data in the pre-trained configuration model to match the optimal form configuration solution, and the form configuration requirement data is output to obtain.

5. A form configuration method according to claim 4, characterized in that: The obtaining of the user customized adjustment data and combining the customized adjustment data with the form configuration requirement data to obtain the user's requirement form includes: Providing a user-defined adjustment interface, allowing the user to adjust the form configuration scheme corresponding to the form configuration requirement data; The user's customized adjustment data is acquired and recorded through the customized adjustment interface, and combined with the form configuration requirement data to generate the user's requirement form.

6. A form configuration method according to claim 1, characterized in that: The form configuration method further includes: Provides real-time preview function for form configuration. Users can preview the actual effect at any time when configuring the form to ensure that the configured form meets user needs; Set up form version management function, allowing users to save and roll back different versions of the form so as to restore to the previous configuration state when needed; Obtain user feedback information, and adjust the pre-trained configuration model according to the user feedback information to optimize parameter data of the configuration model.

7. A form configuration system, characterized in that: The form configuration system comprises: The demand acquisition module is used to acquire the user's business demand data and perform feature extraction on the business demand data to obtain business demand feature point data; A model analysis module is used to transmit the business demand feature point data to a pre-trained configuration model for comparison and analysis to obtain form configuration demand data; A form obtaining module is used to obtain the user's customized adjustment data, and obtain the user's required form by combining the customized adjustment data with the form configuration requirement data; The integration module is used to integrate the user's demand form with the workflow and display it on the user side to improve work efficiency and management level.

8. A form configuration system according to claim 7, characterized in that: A form configuration system also includes: The preview module is used to provide a real-time preview function for form configuration. Users can preview the actual effect at any time when configuring the form to ensure that the configured form meets user needs; The version management module is used to set the form version management function, allowing users to save and roll back different versions of the form so as to restore to the previous configuration state when needed; The feedback module is used to obtain user feedback information and adjust the pre-trained configuration model according to the user feedback information to optimize parameter data of the configuration model.

9. A computer terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the form configuration method as claimed in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of a form configuration method as claimed in any one of claims 1 to 6 are implemented.

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