Flexible rule configuration method for process file parameter reasoning
Through the flexible rule configuration method, the process file parameters are dynamically configured using the rule reasoning ability of the knowledge base, which solves the problem of inefficient inference of traditional process files and realizes efficient and intelligent process data acquisition.
Patent Information
- Application Number
- CN202411517926.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-29
- Publication Date
- 2025-01-10
AI Technical Summary
In mechanical processing enterprises, traditional process file parameter reasoning methods rely on the experience of technicians, resulting in inefficiency and a lot of repetitive labor, which cannot adapt to the needs of modern enterprises.
A flexible rule configuration method is adopted to dynamically configure the conditional conclusion parameters and rules of process file reasoning through the rule reasoning ability of the knowledge base, and to use the production rules to forward reasoning, match the process file information, and automatically modify the operation instructions content.
It realizes rapid and efficient acquisition of process-related data, reduces dependence on work experience, and improves the intelligence level of process reasoning and data accuracy.
Smart Images
Figure CN119292999A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of process reasoning rules, and in particular to a flexible rule configuration method for process technology file parameter reasoning. Background Art
[0002] With the continuous development of manufacturing technology, in the process of product processing and manufacturing, considerable attention has been paid to the management of process resources such as process file information. For a specific process, selecting appropriate process file information is a very professional job. The existing process file parameter reasoning methods include: 1) Reasoning based on knowledge graph, that is, establishing the relationship between process files and processes in the knowledge graph, and inferring the process files corresponding to the process through query and reasoning of the knowledge graph; 2) Reasoning based on natural language processing, that is, through semantic analysis and understanding of the process description text, identifying the key information of related process files, matching and reasoning, etc.
[0003] In the traditional processing environment, mechanical processing companies mainly rely on the knowledge and experience of technical personnel to obtain the process file parameter information corresponding to the process. There is a lot of repetitive work and low efficiency, which is no longer suitable for current processing.
[0004] Therefore, it is an urgent need for machining enterprises to develop a flexible rule configuration method for process file parameter reasoning that meets the development requirements of modern enterprises. Through the flexible configuration method for process file parameter reasoning, different processes can use a set of rules to perform process design process file parameter reasoning. Summary of the invention
[0005] In order to achieve the requirement of dynamically configuring the conditional conclusion parameters and rules of process file reasoning to adapt to the process file parameter reasoning of different process designs with the same set of rules, the present invention provides a flexible rule configuration method for process file parameter reasoning. This method can effectively infer process file information data that meets the requirements based on the configured rules through the rule reasoning ability of the knowledge base, and modify the operating instructions content based on the process file information data obtained by reasoning and the parameters configured in the operating instructions.
[0006] The technical solution of the present invention is:
[0007] A flexible rule configuration method for process document parameter reasoning, characterized in that it comprises the following steps:
[0008] Step 1: Configure the conditional conclusion parameter source field of the flexible rule;
[0009] Create a reasoning flexible rule parameter source table and a reasoning flexible rule parameter source field table respectively to store all condition parameters and conclusion parameters that can be used by the process file information reasoning flexible rule;
[0010] Step 2: Configure the condition parameters and matching information of the rule;
[0011] By extracting the parameter data added in the inference flexible rule parameter source field table, a process file inference flexible rule condition matching method table and a process file inference flexible rule condition parameter matching source table are created to determine the conditions for inference of process file parameter information, the matching source of the parameters and the matching method;
[0012] Step 3: Configure the operation instruction code and its corresponding conclusion parameters;
[0013] The process file parameter information satisfying the match is obtained according to the rule matching method and condition parameters in the process file reasoning flexible rule condition matching method table and the process file reasoning flexible rule condition parameter matching source table.
[0014] Furthermore, the step 1 also includes:
[0015] Step 1-1: Create a parameter source table for inference flexible rules, and configure the parameter type, parameter source table name, and inference purpose field for it;
[0016] Step 1-2: Create an inference flexible rule parameter source field table, select a piece of data in the inference flexible rule parameter source field table, associate it with the inference flexible rule parameter source field table, add matching field information, and create data for the parameter field name, inference purpose, and parameter coding field.
[0017] Furthermore,
[0018] The parameter types include process resources and part information;
[0019] The parameter source table name includes process file selection knowledge, process file and part information;
[0020] The said inference usage includes conditional parameters and conclusion parameters;
[0021] The parameter field name may be one or more of chapter number, chapter name, file category, file English name, file name, process file number, file version, machine model, part drawing number, rough material size height, rough material size length and rough material size width;
[0022] The parameter encoding may be selected from one or more of ZJBH, ZJMC, WJLB, WJYWMC, WJMC, GYWJBH, WJBC, JX, LJTH, MLCCG, MLCCC and MLCCK.
[0023] Furthermore,
[0024] When the parameter type is process resource, the parameter source table name is process file selection knowledge, and the reasoning purpose is conditional parameter, the parameter field name is chapter number, chapter name, file category, file English name, file name, process file number, file version, and the parameter code is ZJBH, ZJMC, WJLB, WJYWMC, WJMC, GYWJBH, WJBC;
[0025] When the parameter type is process resource, the parameter source table name is process file, and the reasoning purpose is conclusion parameter, the parameter field name is chapter number, chapter name, file category, file English name, file name, process file number, file version, and machine model, and the parameter code is ZJBH, ZJMC, WJLB, WJYWMC, WJMC, GYWJBH, WJBC, and JX;
[0026] When the parameter type is part information, the parameter source table name is part information, and the inference purpose is conditional parameter, the parameter field names are machine model, part drawing number, raw material size height, raw material size length, and raw material size width, and the parameter coding field values are JX, LJTH, MLCCG, MLCCC, and MLCCK.
[0027] Furthermore, the step 2 also includes:
[0028] Step 2-1: Create a process file reasoning flexible rule condition matching method table, configure the matching table name, matching field name, rule category and matching method field;
[0029] Step 2-2: Create a process file reasoning flexible rule condition parameter matching source table, select a data in the process file reasoning flexible rule condition matching method table, associate it with the process file reasoning flexible rule condition parameter matching source table, add condition parameters, and configure the parameter source table name, parameter name and parameter default value.
[0030] Furthermore,
[0031] The rule categories include single value comparison and formula comparison;
[0032] The matching modes include assignment, equality, inequality, greater than, greater than or equal to, less than, less than or equal to, contained in and contained in;
[0033] The matching table name is extracted from the parameter source table name of the inference flexible rule parameter source table;
[0034] The matching field name is extracted from the parameter field name of the inference flexible rule parameter source field table.
[0035] Furthermore, the step 3 also includes:
[0036] Step 3-1: Create a basic operation instructions configuration table for the process. The data fields include the process category name, process subcategory name, basic operation and operation instructions;
[0037] Step 3-2: Create a process document flexible reasoning rule conclusion parameter source table, select a piece of data in the process basic operation instruction configuration table to associate with the process document flexible reasoning rule conclusion parameter source table, configure the conclusion parameter according to the parameter information in the operation instruction field content added in the process basic operation instruction configuration table, that is, the data source that needs to be replaced with the parameter in the operation instruction content, add corresponding data to the sequence number, keyword, and parameter source table name in the table;
[0038] Step 3-3: Create a process document flexible reasoning rule conclusion parameter source field table, select a piece of data created in the process document flexible reasoning rule conclusion parameter source field table and associate it with the process document flexible reasoning rule conclusion parameter source field table, and add corresponding data for the parameter field name, parameter default value and parameter code in the table.
[0039] Furthermore,
[0040] The parameter default value is added by the creator according to the actual situation after obtaining the process file parameter information, and is used when the conditional parameter value is empty.
[0041] The beneficial effects of the present invention are:
[0042] 1. The present invention proposes a flexible rule configuration method for process technology file parameter reasoning. The rule configuration utilizes a method based on production rule forward reasoning. By matching the rules, data that meets the conditions is searched in the process file information library, and the operation instructions are obtained based on the searched data. This method can quickly and effectively obtain the relevant data of a certain process, so that the relevant staff can complete it without being restricted by work experience.
[0043] 2. The accuracy and efficiency of the inference data in the present invention depend on the expressive power of the rule configuration in the knowledge base. By converting expert experience into knowledge that can be used by computers, the rules in the knowledge base are continuously improved to make them applicable to various processes, thereby improving the intelligent level of process reasoning. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] Figure 1 It is a flow chart of the flexible rule configuration method for process file parameter reasoning of the present invention. DETAILED DESCRIPTION
[0045] The present invention is further described in detail below with reference to the accompanying drawings:
[0046] The present invention provides a flexible rule configuration method for process file parameter reasoning, which can dynamically configure the conditional conclusion parameters and matching methods of the flexible rules of process file reasoning so that the same set of rules can adapt to the process file parameter reasoning of different process designs. The method first searches for the corresponding file name in the process file information resource library through the model in the selected part information and the basic operation in the selected process, and uses the two as conditional parameters, and then finds the data that meets the rule matching in the process file knowledge base based on the rule matching method, obtains the process file related field information required for the process, and then changes the parameter information in the operation description from the specified field of the acquired process file information according to the parameters in the operation description content, that is, the conclusion parameters, so as to obtain a complete operation description.
[0047] The method proposed by the present invention comprises the following steps:
[0048] Step 1: Configure the conditional conclusion parameter source field of the flexible rule.
[0049] Create a reasoning flexible rule parameter source table and a reasoning flexible rule parameter source field table respectively to store all condition parameters and conclusion parameters that can be used by the process file information reasoning flexible rule. The specific steps are as follows:
[0050] Step 1-1: Create an inference flexible rule parameter source table, as shown in Table 1 below, and configure the parameter type, parameter source table name, and inference purpose fields.
[0051] The parameter type values are "process resources" and "part information"; the parameter source table name values are "process file selection knowledge", "process file" and "part information"; and the reasoning purpose value is "conditional parameter" or "conclusion parameter".
[0052] Table 1 Source table of reasoning flexible rule parameters
[0053]
[0054] Step 1-2: Create an inference flexible rule parameter source field table, as shown in Table 2 below. Select a piece of data in Table 1 to associate it with Table 2 to add matching field information, and create data for the parameter field name, inference purpose, and parameter coding field.
[0055] Retrieve each field from the process file information data table, and save the extracted field name as data in the parameter field name of Table 2. When selecting the data with id fileID in Table 1, the parameter field name field value in Table 2 is "Chapter Number", "Chapter Name", "File Category", "File English Name", "File Name", "Process File Number", "File Edition", and the parameter code field value is "ZJBH", "ZJMC", "WJLB", "WJYWMC", "WJMC", "GYWJBH", "WJBC"; when selecting the data with id fileID2 in Table 1, the parameter field name field value in Table 2 is "Chapter Number". ”, “Chapter Name”, “File Category”, “File English Name”, “File Name”, “Process File Number”, “File Version”, “Model”, the parameter coding field values are “ZJBH”, “ZJMC”, “WJLB”, “WJYWMC”, “WJMC”, “GYWJBH”, “WJBC”, “JX”; when the id in Table 1 is selected as partID data, the parameter field name field values in Table 2 are “Model”, “Part Drawing Number”, “Raw Material Size Height”, “Raw Material Size Length” and “Raw Material Size Width”, and the parameter coding field values are “JX”, “LJTH”, “MLCCG”, “MLCCC” and “MLCCK”.
[0056] Table 2 Reasoning flexible rule parameter source field table
[0057]
[0058]
[0059] Step 2: Configure the rule condition parameters and matching information.
[0060] By extracting the parameter data added in Table 2, a process file reasoning flexible rule condition matching method table and a process file reasoning flexible rule condition parameter matching source table are created to determine the process file parameter information reasoning conditions, parameter matching source and matching method. The specific steps are as follows:
[0061] Step 2-1: Create a process file reasoning flexible rule condition matching method table, as shown in Table 3 below, and configure the matching table name, matching field name, rule category, and matching method field.
[0062] The rule category field values include "single value comparison" and "formula comparison"; the matching method field values include "assignment", "equal", "not equal", "greater than", "greater than or equal to", "less than", "less than or equal to", "contained in" and "contained in"; the matching table name value is extracted from the parameter source table name field with id fileID2 in Table 1, and its value is "process file"; the matching field name value is extracted from the parameter field name value with foreign key id fileID2 in Table 2.
[0063] The specific matching parameters for process file reasoning include the following two:
[0064] 1. The value of the matching table name is "process file", the value of the matching field name is "machine model", the value of the rule category is "single value comparison", and the value of the matching method is "equal";
[0065] 2. The match table name value is "process file", the match field name value is "file name", the rule category value is "single value comparison", and the match method value is "equal".
[0066] Table 3 Process file reasoning flexible rule condition matching method table
[0067]
[0068] Step 2-2: Create a process file reasoning flexible rule condition parameter matching source table, as shown in Table 4 below, select a data in Table 3 and associate it with Table 4 to add a condition parameter, configure the parameter source table name, parameter name and parameter default value.
[0069] The parameter source table names include "process file selection knowledge" with id fileID and "part information" with id partID in Table 1; the matching field name values are extracted from the matching field values with foreign key id fileID and foreign key id partID in Table 2 respectively; the parameter default value is added by the creator according to actual conditions, and the default value data is used when the conditional parameter value is empty.
[0070] The conditional parameters corresponding to the two pieces of data in Table 3 are as follows:
[0071] 1. The parameter source table name is "Part Information", the parameter name value is "Model", and the parameter default value can be set, such as "L6A";
[0072] 2. The name of the parameter source table is "Process file selection knowledge", the parameter name value is "File name", and the parameter default value can be set such as "Marking method".
[0073] Table 4 Process file reasoning flexible rule condition parameter matching source table
[0074]
[0075] By configuring the process file reasoning flexible rule condition matching method table and the corresponding process file reasoning flexible rule condition parameter matching source table, a knowledge expression model based on production rules can be established to realize the process file reasoning flexible rule configuration of process design.
[0076] Step 3: Configure the operation instruction code and its corresponding conclusion parameters.
[0077] According to the rule matching method and condition parameters in Table 3 and Table 4, the process file parameter information that meets the matching is obtained. The specific steps are as follows:
[0078] Step 3-1: Create a basic operation instruction configuration table for the process, as shown in Table 5 below. The data fields include the process category name, process subcategory name, basic operations, and operation instructions.
[0079] Different process types correspond to different operating instructions. The file name, process file number, etc. in the process file information required for each operating instruction are written in coded form as conclusion parameters. One of the process data is as follows:
[0080] Table 5 Basic operation instructions of the process configuration table
[0081]
[0082] Step 3-2: Create a process document flexible reasoning rule conclusion parameter source table, as shown in Table 6 below, select a data in Table 5 to associate with Table 6, and configure the conclusion parameters according to the parameter information in the operation instruction field content added in Table 5, that is, the data source that needs to be replaced with the parameters in the operation instruction content, and add corresponding data for the serial number, keyword, and parameter source table name in the table.
[0083] The serial number field is automatically incremented, the keyword is used as the screening condition, and the parameter source table name comes from the parameter source table name field in Table 1. One specific data is as follows:
[0084] Table 6 Process document flexible reasoning rule conclusion parameter source table
[0085]
[0086] Step 3-3: Create a process file flexible reasoning rule conclusion parameter source field table, as shown in Table 7 below, select a data created in Table 6 to associate with Table 7, and add corresponding data for the parameter field name, parameter default value and parameter code in the table.
[0087] The parameter field name is extracted from the matching field value of fileID2 in the foreign key id of table 2. The parameter code value is automatically obtained after selecting the parameter name. The parameter default value is used when the corresponding extracted field data is empty after obtaining the process file parameter information. One of the corresponding data is as follows:
[0088] Table 7 Process document flexible reasoning rule conclusion parameter source field table
[0089]
[0090] In order to better understand the content of the present invention, the content of the present invention is further described in detail below in conjunction with embodiments: Specific implementation method one:
[0092] Combination Figure 1 This embodiment is described by selecting a process of a certain part to configure the required process file, and then obtaining relevant matching process file data through rule-based reasoning, thereby improving the work efficiency of obtaining data.
[0093] Step 1: The selected part information data is: machine model "L6A", part name "4 frame middle section", part drawing number "5411405001-001", raw material length "1980", raw material width "980", raw material height "4";
[0094] Step 2: The selected process information data is: process category name "profile processing (sheet metal)", process subcategory name "making identification", basic operation "making turnover identification (sheet metal)", typical operation name "making aluminum turnover label", operation instructions "making aluminum turnover identification according to (GYWJBH1), (GYWJBH2) Label content: part number, manufacturing plan number";
[0095] Step 3: Find the corresponding data in Table 6 according to the basic operation of this process information, and add the data in Table 7 through the ID value. Specific implementation method 2:
[0097] Combination Figure 1 To illustrate this implementation mode, the process file is inferred based on the basic operation fields of the selected process and the configuration needs, and the file information corresponding to the basic operation fields is searched in the process file selection knowledge table, wherein the fields in the process file selection knowledge table include: process category name, process subcategory name, basic operation, and file name.
[0098] Step 1: According to a process selected in the specific implementation mode 1, basic operation field data of the process is obtained;
[0099] Step 2: Search the process file selection knowledge table for data whose basic operation fields are identical to the basic operation data in the process step, obtain the same basic operation data and the file name field data at the same time. The file name data is not unique and there may be multiple different file names. In this article, the file names obtained by screening in the process file selection knowledge table through the basic operation "Making turnover identification (sheet metal)" include "marking method" and "product identification and traceability". Specific implementation method three:
[0101] Combination Figure 1 To illustrate this implementation method, after obtaining the file name data, the corresponding file name data is found in the process file information table, and then the other fields are queried according to the matching method of the rule to see if they meet the match. If they meet the match, the process file data is saved in the corresponding process, wherein the fields in the process file information table include: machine model, file name, chapter number, chapter name, file English name, process file number, and file type;
[0102] Step 1: According to the selected process ID value, find the matching method in the configuration rule in Table 3, where the matching field name value is "machine model", the rule category value is "single value comparison", the matching method value is "equal", and the matching field name value is "file name", the rule category value is "single value comparison", and the comparison method value is "equal";
[0103] Step 2: According to the configured rules and Table 4, it can be obtained that the parameter source table name in the conditional parameter corresponding to the matching field name "machine model" in step 1 is "part information", and the parameter source table name in the conditional parameter corresponding to the matching field name "file name" is "process file selection knowledge"; according to the selected part information and the file name obtained in step 2 of the specific implementation method 2, it can be obtained that the default value of the parameter corresponding to the matching field name value "machine model" in step 1 is "L6A", and the default values of the parameters corresponding to the matching field name value "file name" are "marking method" and "product identification and traceability" respectively.
[0104] Step 3: According to the matching field name value in step 1, the fields that need to be matched in the process file information table are "machine model" and "file name". Therefore, according to the corresponding condition parameters and comparison method, the query process is to query the file information data in the information table whose machine model field value is "Y20" and whose file name is "marking method" or "product identification and traceability". The file type, file name, process file number, file English name, chapter name, and chapter number in the process file information that meets the conditions are returned to the process as output data.
[0105] The data obtained through rule matching includes:
[0106] 1. Document type: "Technical Document", document name: "Marking Method", process document number: "XPS60001", document English name: "", chapter name: "", chapter number: "7.1.2";
[0107] 2. Document type: “Technical Document”, file name: “Product Identification and Traceability”, process document number: “XQS7531”, file English name: “”, chapter name: “”, chapter number: “5.2.2.2d”. Specific implementation method four:
[0109] Combination Figure 1 To illustrate this embodiment, according to the configuration of parameters in the operating instructions and the obtained process file information data, the data of the designated fields in the process file information are replaced with the parameters in the operating instructions content.
[0110] Step 1: Configure according to the id value of the selected process and the content parameters in the operation instructions. There are two parameters in the operation instructions, namely "GYWJBH1" and "GYWJBH2", which need to be configured as follows in Table 6:
[0111] 1. Serial number "1", parameter source table name "process file", keyword "marking method";
[0112] 2. Serial number “2”, parameter source table name “Process documentation”, keyword “Product identification and traceability”.
[0113] Step 2: Set the parameter field names for the parameters in step 1 respectively, and add them in Table 7. According to the data with serial number "1" in step 1, add as follows: parameter field name "process file number", parameter code "GYWJBH", parameter default value "XXX"; according to the data with serial number "2" in step 1, add as follows: parameter field name "process file number", parameter code "GYWJBH", parameter default value "XXX".
[0114] Step 3: After the dynamic parameter change configuration is completed, the specific process is as follows: first, concatenate the serial number and the parameter code field to obtain "GYWJBH1" and "GYWJBH2", and then search the file information data obtained in the specific implementation method three for the data with the same process file name and keyword field value, that is, the file name is "Marking Method" or "Product Identification and Traceability", and after finding the same data, obtain the data with the parameter field name of "Process File Number", and replace this data with the parameters in the operating instructions. If the process file number data is empty, replace it with the parameter default value. If the data in the keyword is empty, the process file number field value in the first data of the process file data obtained in the specific implementation method three is selected by default to replace the parameters in the operating instructions. After the replacement, the result of the operating instructions is "Aluminum turnover identification made according to XPS60001 and XQS7531: part number, manufacturing plan number".
Claims
1. A flexible rule configuration method for process document parameter reasoning, characterized in that: The following steps are involved: Step 1: Configure the conditional conclusion parameter source field of the flexible rule; Create a reasoning flexible rule parameter source table and a reasoning flexible rule parameter source field table respectively to store all condition parameters and conclusion parameters that can be used by the process file information reasoning flexible rule; Step 2: Configure the condition parameters and matching information of the rule; By extracting the parameter data added in the inference flexible rule parameter source field table, a process file inference flexible rule condition matching method table and a process file inference flexible rule condition parameter matching source table are created to determine the conditions for inference of process file parameter information, the matching source of the parameters and the matching method; Step 3: Configure the operation instruction code and its corresponding conclusion parameters; The process file parameter information satisfying the match is obtained according to the rule matching method and condition parameters in the process file reasoning flexible rule condition matching method table and the process file reasoning flexible rule condition parameter matching source table.
2. A flexible rule configuration method for process document parameter reasoning according to claim 1, characterized in that: The step 1 also includes: Step 1-1: Create a parameter source table for inference flexible rules, and configure the parameter type, parameter source table name, and inference purpose field for it; Step 1-2: Create an inference flexible rule parameter source field table, select a piece of data in the inference flexible rule parameter source field table, associate it with the inference flexible rule parameter source field table, add matching field information, and create data for the parameter field name, inference purpose, and parameter coding field.
3. A flexible rule configuration method for process document parameter reasoning according to claim 2, characterized in that: The parameter types include process resources and part information; The parameter source table name includes process file selection knowledge, process file and part information; The said inference usage includes conditional parameters and conclusion parameters; The parameter field name may be one or more of chapter number, chapter name, file category, file English name, file name, process file number, file version, machine model, part drawing number, rough material size height, rough material size length and rough material size width; The parameter encoding may be selected from one or more of ZJBH, ZJMC, WJLB, WJYWMC, WJMC, GYWJBH, WJBC, JX, LJTH, MLCCG, MLCCC and MLCCK.
4. A flexible rule configuration method for process document parameter reasoning as claimed in claim 3, characterized in that: When the parameter type is process resource, the parameter source table name is process file selection knowledge, and the reasoning purpose is conditional parameter, the parameter field name is chapter number, chapter name, file category, file English name, file name, process file number, file version, and the parameter code is ZJBH, ZJMC, WJLB, WJYWMC, WJMC, GYWJBH, WJBC; When the parameter type is process resource, the parameter source table name is process file, and the reasoning purpose is conclusion parameter, the parameter field name is chapter number, chapter name, file category, file English name, file name, process file number, file version, and machine model, and the parameter code is ZJBH, ZJMC, WJLB, WJYWMC, WJMC, GYWJBH, WJBC, and JX; When the parameter type is part information, the parameter source table name is part information, and the inference purpose is conditional parameter, the parameter field names are machine model, part drawing number, raw material size height, raw material size length, and raw material size width, and the parameter coding field values are JX, LJTH, MLCCG, MLCCC, and MLCCK.
5. A flexible rule configuration method for process document parameter reasoning according to claim 1, characterized in that: The step 2 also includes: Step 2-1: Create a process file reasoning flexible rule condition matching method table, configure the matching table name, matching field name, rule category and matching method field; Step 2-2: Create a process file reasoning flexible rule condition parameter matching source table, select a data in the process file reasoning flexible rule condition matching method table, associate it with the process file reasoning flexible rule condition parameter matching source table, add condition parameters, and configure the parameter source table name, parameter name and parameter default value.
6. A flexible rule configuration method for process document parameter reasoning according to claim 5, characterized in that: The rule categories include single value comparison and formula comparison; The matching modes include assignment, equality, inequality, greater than, greater than or equal to, less than, less than or equal to, contained in and contained in; The matching table name is extracted from the parameter source table name of the inference flexible rule parameter source table; The matching field name is extracted from the parameter field name of the inference flexible rule parameter source field table.
7. A flexible rule configuration method for process document parameter reasoning according to claim 1, characterized in that: The step 3 also includes: Step 3-1: Create a basic operation instructions configuration table for the process. The data fields include the process category name, process subcategory name, basic operation and operation instructions; Step 3-2: Create a process document flexible reasoning rule conclusion parameter source table, select a piece of data in the process basic operation instruction configuration table to associate with the process document flexible reasoning rule conclusion parameter source table, configure the conclusion parameter according to the parameter information in the operation instruction field content added in the process basic operation instruction configuration table, that is, the data source that needs to be replaced with the parameter in the operation instruction content, add corresponding data to the sequence number, keyword, and parameter source table name in the table; Step 3-3: Create a process document flexible reasoning rule conclusion parameter source field table, select a piece of data created in the process document flexible reasoning rule conclusion parameter source field table and associate it with the process document flexible reasoning rule conclusion parameter source field table, and add corresponding data for the parameter field name, parameter default value and parameter code in the table.
8. A flexible rule configuration method for process document parameter reasoning according to claim 5 or 7, characterized in that: The parameter default value is added by the creator according to the actual situation after obtaining the process file parameter information, and is used when the conditional parameter value is empty.