Custom field and template low code system for unstructured contract orders

Abstract

The present application relates to the field of production management, in particular to a self-defined field and template low code system for unstructured contract order, and specifically comprises a contract self-defined module and an exported contract template module, wherein the contract self-defined module comprises a self-defined field structure module and a self-defined field value module for extracting and analyzing unstructured data; the exported contract template module comprises an order defined field module and a module style conversion module for matching the field structure and field value in the analyzed unstructured data, setting the contract order style, and then selecting a text format output. The entry mode of unstructured information can maximize the potential value of information, widen the information entry mode, improve the information collection and processing speed, better realize data mining, retain data diversity, and provide more accurate information processing mode for enterprises.

Description

Technical Field

[0001] This invention relates to the field of production management, with IPC classification number G06Q30 / 06, and specifically to a low-code system for custom fields and templates for unstructured contract orders. Background Technology

[0002] Contracts and orders are crucial media for enterprises' industrialized production management and serve as data connections for communication across various production stages. They involve multi-faceted production management data, such as pricing and product quantities. Intelligent contract drafting is indispensable for comprehensive business management and production processes. Currently, automatic contract generation typically employs structured data extraction methods. These methods extract limited data with few attributes. Furthermore, structured data management requires various data processing techniques, reducing the efficiency of data querying and collection. Traditional databases cannot modify forms and their corresponding character types, hindering subsequent system upgrades and optimizations, and sometimes even requiring modifications to the underlying algorithm, thus increasing costs associated with industrialized production management systems.

[0003] Patent CN201811557630 provides a unified management system and method for contracts, integrating various processes involved in contract formulation and use, and connecting these processes to achieve a comprehensive contract management model through the coordinated operation of each step. However, this patent only describes which modules should be added to the contract management system and the information transmission path, without addressing the specific data collection and processing procedures or the optimization of those procedures. Although contract-related management modules have been added, the efficiency of system development and maintenance has not been truly optimized. Instead, the increased system load capacity makes it difficult to maintain and optimize in the future.

[0004] Patent CN201810548344 provides a data processing system, method, and apparatus based on a graph database. By acquiring the processing results of graph structure data in the database, it performs processing on related subsystems of the graph structure and relational data, thereby quickly finding relational data that is related to the graph structure data and improving the data retrieval speed. However, this patent only processes and optimizes the graph structure, and the relationship between graph structures can be obtained through graph matching. It does not involve deep semantic information or descriptions of perception functions.

[0005] Therefore, in response to the problems existing in the above-mentioned patents, there is an urgent need to launch a low-code system for custom fields and templates for unstructured contract orders. Summary of the Invention

[0006] To address the aforementioned problems, this invention provides a low-code system for custom fields and templates in unstructured contract orders, specifically including a contract customization module and a contract template export module, wherein:

[0007] The contract customization module includes a custom field structure module and a custom field value module, used for extracting and parsing unstructured data;

[0008] The exported contract template module includes an order definition field module and a module style conversion module, which are used to match the field structure and field values ​​in the parsed unstructured data, and select the text format for output after setting the contract order style.

[0009] Specifically, both the contract customization module and the contract template export module belong to the general settings module.

[0010] Preferably, the unstructured data is collected by designing custom embedded points at specified information input locations in the system. The specific collection method is as follows:

[0011] S1. Store the collected unstructured data into the database and define the file path for storing the data;

[0012] S2. Extract and save the field features from the custom field value module;

[0013] S3. In the custom field structure module, filter field feature types by defining strings;

[0014] S4. Based on the processed fields obtained from the custom field values ​​and custom field structures, optimize the correlation and similarity of the processed fields.

[0015] Preferably, the correlation optimization involves post-processing the processed fields through semantic computation, whereby the semantic computation adds a syntactic logic judgment algorithm to the processed fields to form related fields.

[0016] Specifically, the coherence of fields is determined by the grammatical logic judgment algorithm, thus achieving field concatenation and avoiding the problem of unreadable and semantically inconsistent fields after direct concatenation.

[0017] Preferably, the grammatical logic judgment algorithm adds corresponding parts of speech to the processed fields and sorts the corresponding parts of speech based on grammar.

[0018] Specifically, the system uses grammatical sorting to determine whether the corresponding part-of-speech combinations conform to the conventional grammatical pattern. If they do not conform, the system performs automatic correction, thereby ensuring the smoothness and completeness of the processed fields.

[0019] Preferably, the custom field structure module stores the data of the custom field structure in the structure appendix by establishing a structure appendix and a key for the structure appendix.

[0020] Specifically, there are multiple structure sub-tables, which are split according to custom field attributes.

[0021] Preferably, the custom field value module establishes a field value appendix and a field value foreign key, and connects the field value foreign key with the structure appendix to perform information association between the field value appendix and the structure appendix.

[0022] Preferably, a form ID and a specified ID path are established in the structure appendix, and the structure appendix is ​​organized into a separate call form, and the associated fields are called by querying the call form.

[0023] Preferably, the order definition field module classifies associated fields by establishing attribute tags based on associated fields, and the custom fields are located and deployed in the contract order according to the attribute tags.

[0024] Specifically, the associated fields can be converted into string format first, and then the management fields can be split based on attribute tags on the basis of the string format, thereby improving the processing efficiency of associated fields.

[0025] Preferably, the contract customization module and the contract template export module are built on a low-code system. The low-code system first builds a system functional framework and sets up requirement nodes in the functional framework. By logically encapsulating and reusing the underlying programs required for each requirement stage, and integrating the overall functions of the system, the corresponding functions of the system can be modified by modifying the IO interface in a single requirement node.

[0026] Specifically, by building a low-code system, the overall system setup and optimization efficiency can be improved, facilitating subsequent secondary development and use of the system. At the same time, when adding new functions, module replacement testing can be performed to directly modify the system's functionality without changing the overall system framework.

[0027] Preferably, the low-code system is based on a full-process industrial internet system, which establishes unstructured contract orders to integrate offline entities and online data throughout the entire process.

[0028] Specifically, the aforementioned end-to-end industrial internet system also includes a sales center module, an SKU and quotation management module, a financial management module, a sample management module, an order management module, and a work order management module.

[0029] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0030] (1) Since existing enterprise production management systems typically use structured data for unified collection and entry, a large amount of other types of data will be involved in the information entry process, resulting in incomplete data collection or even mis-entry of important information. The unstructured information collection method described in this invention can maximize the potential value of information, improve the speed of information collection and processing by broadening the information entry mode, and better realize the data mining and preservation of data diversity, providing enterprises with a more accurate information processing mode.

[0031] (2) Based on (1) above, the unstructured data processing of the present invention processes the collected data based on custom field structure and custom field value. By adding multiple tables and field structure connection methods, multiple custom fields are simultaneously retrieved and extracted, so as to classify the collected unstructured information according to custom attributes and improve the overall scope of use of the system.

[0032] (3) Based on (2) above, the custom field structure and custom field values ​​of the present invention combine the classification of data with rule matching to perform semantic calculation and analysis based on syntax judgment, so as to better understand the content in the data. Unstructured data has the advantage of fast processing speed and contains more information than structured data. However, unstructured data has problems such as scattered extraction, large data noise, and poor usability of extracted fields. The present invention improves this problem and improves the correlation of fields by setting custom field structure and custom field values.

[0033] (4) Based on (3) above, the present invention generates standardized orders from the extracted data, specifically including a PDF style module and other order formats for standardized output, which facilitates the calling of other modules in the industrial interconnection system and realizes full-process management of the industrial interconnection system.

[0034] (5) Based on (1)-(4) above, the low-code system of the present invention establishes a requirement framework, encapsulates and reuses each functional module, improves the functional combination of the requirement framework by calling the encapsulated module, realizes efficient system construction and optimization, simplifies code, improves the efficiency of system backend maintenance, facilitates efficient management of contract orders, and improves data utilization and code reusability. Attached Figure Description

[0035] Figure 1 A flowchart of a low-code system for custom fields and templates for unstructured contract orders;

[0036] Figure 2A module diagram of an industrial internet system involving a low-code system with custom fields and templates for unstructured contract orders;

[0037] Figure 3 The flowchart shows the syntax logic judgment algorithm for optimizing the relevance of the processed fields. Detailed Implementation

[0038] Example:

[0039] This example provides a low-code system for custom fields and templates in unstructured contract orders. Specifically, it includes a contract customization module and a contract template export module. The custom field structure module stores and parses the field name, field type, and whether each field is required. The custom field value module stores and parses the value of each field. The order definition field module stores which custom fields are present in the contract order and their locations. Both the contract customization module and the contract template export module belong to the order operation module.

[0040] The general settings module also includes subsidiary settings, basic information settings, resource invalidation settings, switch settings, trusted suppliers, order business types, list reminder settings, quotation export settings, email management, LIMS (Laboratory Information Management System) push settings, and special control application and summary. The contract customization settings, through template type settings, allow for the customization of contract, order, sample, and project templates. The export contract template module exports the customized contract, order, sample, and project files from the contract customization module. By setting modules associated with the contract customization module and the export contract template module, it enables collaborative operation between modules based on customized fields and templates, thereby improving enterprise office efficiency.

[0041] The aforementioned similarity optimization targets fields with the same meaning but expressed differently, performing a deeper semantic understanding. By establishing a semantic database and an adaptive training model, it retrieves related fields, such as related fields with similar meanings to a given field, and extracts related fields simultaneously, thereby improving the retrieval direction and utilization rate of data.

[0042] In one implementation, the specific judgment method in the grammatical logic judgment algorithm is as follows:

[0043] A1. Match the part-of-speech tags of the processed fields by establishing a part-of-speech classification database;

[0044] A2. Sort and organize the processed field information according to the corresponding parts of speech and fixed grammatical rules;

[0045] A3. Output the sorted and organized field information and use it as the associated field.

[0046] The low-code system described herein serves as an operational framework that simplifies backend development and maintenance. It transforms the traditional text-based coding method into a graphical programming language, enabling the establishment of a system functional framework, modification of requirement nodes, and real-time viewing of test results and runtime data, thereby improving system development efficiency.

Claims

1. A low-code system for custom fields and templates for unstructured contract orders, characterized in that: Specifically, it includes a contract customization module and a contract template export module, among which: The contract customization module includes a custom field structure module and a custom field value module, used for extracting and parsing unstructured data; The exported contract template module includes an order definition field module and a module style conversion module, which are used to match the field structure and field values ​​in the parsed unstructured data, and select the text format for output after setting the contract order style; The unstructured data mentioned above is collected by designing custom embedded points at specified information input locations in the system. The specific collection method is as follows: S1. Store the collected unstructured data into the database and define the file path for storing the data; S2. Extract and save the field features from the custom field value module; S3. In the custom field structure module, filter field feature types by defining strings; S4. Based on the processed fields obtained from the custom field values ​​and custom field structures, optimize the correlation and similarity of the processed fields. The contract customization module and the contract template export module are built on a low-code system. The low-code system first builds a system functional framework and sets up requirement nodes in the functional framework. By encapsulating and reusing the underlying programs required for each requirement stage, the overall functions of the system are integrated. By modifying the io interface in a single requirement node, the corresponding functions of the system are modified. The low-code system is based on a full-process industrial internet system. It establishes unstructured contract orders to integrate offline entities and online data throughout the entire process.

2. The low-code system for custom fields and templates for unstructured contract orders according to claim 1, characterized in that, The aforementioned correlation optimization involves post-processing the processed fields through semantic computation. This semantic computation adds a syntactic logic judgment algorithm to the processed fields to form related fields.

3. The low-code system for custom fields and templates for unstructured contract orders according to claim 2, characterized in that, The grammatical logic judgment algorithm adds corresponding parts of speech to the processed fields and sorts the corresponding parts of speech based on grammar.

4. The low-code system for custom fields and templates for unstructured contract orders according to claim 1, characterized in that, The custom field structure module stores the data of the custom field structure in the structure appendix by establishing a structure appendix and the key of the structure appendix.

5. The low-code system for custom fields and templates for unstructured contract orders according to claim 1, characterized in that, The custom field value module establishes a field value sub-table and a field value foreign key, and connects the field value foreign key with the structure sub-table to associate information between the field value sub-table and the structure sub-table.

6. The low-code system for custom fields and templates for unstructured contract orders according to claim 5, characterized in that, Create a form ID and a specified ID path in the structure appendix, organize the structure appendix into a separate call form, and call the associated fields by querying the call form.

7. The low-code system for custom fields and templates for unstructured contract orders according to claim 1, characterized in that, The order definition field module is used to classify related fields by establishing attribute tags based on related fields. The custom fields are located and deployed in the contract order according to the attribute tags.

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