Automatic revision system for revision of technical specifications

Abstract

The invention provides an automatic revision system for revision of technical specifications. The automatic revision system comprises a technical parameter unified association configuration module, a scene application module, a technical parameter revision module and a rapid approval module. According to the system, the revision efficiency and accuracy of the technical specification book are remarkably improved through centralized configuration of integrated technical parameters, an intelligent optimization algorithm, generation of a template technical specification book and an automatic approval process. The system can automatically generate an optimal revision scheme through multi-dimensional data analysis and market trend prediction, and in combination with an integration and acceleration mechanism of an approval process, it is ensured that a revised technical specification book is quickly published, manual operation errors are reduced, and the transparency and working efficiency of enterprise management are improved.

Description

Technical Field

[0001] The present invention relates to the field of revision of technical specification books, and in particular to an automated revision system for revising technical specification books. Background Art

[0002] Technical specifications are crucial documents for enterprises or organizations in business processes such as material procurement, engineering construction, and bidding. They describe in detail the technical requirements, standards, and related parameters of the required products or services, and play an important role in ensuring the quality of products or services, standardizing business processes, and evaluating supplier response plans. However, with the expansion of enterprise scale and increasing complexity of business, the preparation and revision of technical specifications has become increasingly arduous, and the traditional manual revision method faces multiple challenges in the current environment.

[0003] In the traditional technical specification revision process, business personnel need to face a large number of complex technical parameters, which may cover different product specifications, industry standards and specific business needs. Every time the technical specification is revised, the technicians need to modify the technical parameters one by one. Since the revision content is often repeated and the information sharing between various business departments is not smooth, the revision work will become very cumbersome, resulting in a lot of repetitive work. This repetitive work greatly reduces work efficiency, especially when faced with a large number of technical specifications, the revision process may become extremely inefficient.

[0004] In addition, the accuracy of the revision of the technical specification is difficult to guarantee. The technical parameters involved in the technical specification are numerous and complex. During the revision process, business personnel are prone to human errors, such as omitting certain technical parameters, inputting errors, or not updating parameters in time. These problems will directly affect the quality of the technical specification, especially in large-scale material procurement or major engineering projects. Any error in the technical specification may bring huge risks, leading to procurement errors, project delays, and even legal disputes, causing considerable economic losses to the company.

[0005] In addition, the traditional revision process of technical specifications usually requires approval from multiple process links, including the participation of multiple departments such as technology, procurement, and finance. These departments have different focuses, and the approval process often takes a lot of time and effort. Especially in urgent projects, the traditional approval process is difficult to keep up with the rapidly changing market needs, resulting in a long revision process. The complexity of the approval process further increases the difficulty of revising technical specifications, making it impossible for companies to quickly respond to market changes and business needs.

[0006] More importantly, the current revision of technical specifications generally lacks automated and intelligent support. Most companies still rely on manual operations to complete the preparation and revision of technical specifications, lacking efficient automated tools or systems to simplify the process. Although the existing business management system is helpful in some data management and recording, it still has deficiencies in technical parameter adjustment, version management, revision record tracking, and approval process optimization. In addition, the existing systems usually lack intelligent analysis capabilities and cannot automatically identify and correct problems in technical parameters, and the revision staff cannot get effective help and optimization suggestions.

[0007] In actual applications, the revision process of technical specifications involves multiple complex business processes and technical links. First of all, the complexity of technical parameter management is one of the main challenges in the revision process. Technical parameters must not only comply with industry standards, but also meet the personalized needs of specific projects or products, which makes the management of these parameters extremely complicated. Each project or procurement requirement may have different technical parameter requirements, and changes in any parameter may require chain modifications to other related parameters. Therefore, how to ensure the consistency and unified adjustment of technical parameters has become an important issue in the revision of technical specifications.

[0008] Secondly, the application scenarios of technical specifications are diverse, which increases the complexity of revision work. Technical specifications can be used in a variety of business scenarios from small-scale material procurement to large-scale engineering projects, so the requirements for technical parameters may vary. Some scenarios may require standardized procurement templates, while other scenarios may require customized adjustments based on specific engineering needs. This diversity of scenarios further increases the difficulty of revision work.

[0009] The revision of technical specifications often requires cross-departmental collaboration, including the participation of multiple departments such as technology, procurement, finance, and engineering. Different departments have different responsibilities and focuses, which often leads to problems such as poor communication, information lag, or duplication of work. This difficulty in collaboration not only prolongs the revision time, but may also lead to inconsistent or missing technical parameters, thus affecting the quality of the technical specifications.

[0010] In a rapidly changing market environment, companies need to be able to respond quickly to market demands. However, the traditional technical specification revision process is often difficult to keep up with market changes due to its complex process and slow approval. When facing market opportunities, companies may miss business opportunities or even face supply chain problems if they are unable to complete the revision of technical specifications in a timely manner. Summary of the invention

[0011] In order to solve the above problems in the prior art, the present invention proposes an automated revision system for revising a technical specification, comprising:

[0012] The technical parameter unified association configuration module is used to configure the technical parameters in a unified and centralized manner;

[0013] Scenario application module, used to generate technical specifications by citing technical specification templates or procurement standard templates;

[0014] A technical parameter revision module is used to adjust technical parameters according to material procurement standards and actual needs to achieve automatic revision of technical parameters. The technical parameter revision module integrates an intelligent optimization algorithm based on big data, and automatically analyzes historical revision data and standardized data to generate optimal parameter revision suggestions to improve revision efficiency and ensure revision accuracy;

[0015] The fast approval module is used to simplify the approval process and ensure that the technical parameters are quickly approved after revision.

[0016] The technical parameter unified association configuration module is used to centrally manage technical parameters from different business departments, material procurement standards or industry standards, and further includes:

[0017] A technical parameter input module is used to obtain technical parameters by manual input, data import or automatic collection;

[0018] Technical parameter standardization processing module, used to format, classify and grade, remove duplicates and merge input technical parameters;

[0019] The technical parameter association and synchronization module is used to associate and synchronize technical parameters through unique identifiers. When a technical parameter is updated, the updated parameter is automatically pushed to all business processes that reference the parameter.

[0020] The version management and change record module is used to perform version control and change record on technical parameters, and record detailed information of each modification, including modification time, content, modifier and modification reason;

[0021] The automatic verification module is used to verify the units, logical relationships and numerical ranges of technical parameters to ensure that the input and modified technical parameters comply with preset rules.

[0022] The scenario application module further includes:

[0023] Template library, which pre-designs and stores technical specification templates and procurement standard templates for various business scenarios. The template library is constructed based on industry standards, internal enterprise standards, and historical business data. The template includes a fixed part and a variable part. The fixed part is used to store general technical specification content, and the variable part is adjusted according to specific business needs.

[0024] The scenario selection module is used to recommend suitable business scenarios based on the business requirements input by the user and call the corresponding template from the template library;

[0025] The template calling module is used to automatically call the template corresponding to the business scenario selected by the scenario selection module and provide a template preview function;

[0026] Template customization module, which allows users to edit the variable parts of the template, including technical parameters, material specifications and project descriptions;

[0027] The automated prompt module provides intelligent prompts and suggestions based on historical data and industry standards when users modify technical parameters;

[0028] Parameter linkage module, which is used to automatically adjust other related parameters when the user modifies a key parameter;

[0029] The technical specification book generation module is used to integrate the fixed part of the template and the variable part modified by the user to generate a technical specification book that meets business needs;

[0030] Output module, used to output technical specifications in multiple formats, including PDF and Word;

[0031] The version management module is used to record the version of each generated technical specification and the modification history.

[0032] The technical parameter revision module further includes:

[0033] The data collection module is used to collect data related to technical parameters, market price fluctuations, and changes in industry standards from the historical record library, and update the data in real time;

[0034] The data analysis and mining module uses big data analysis technology to analyze historical data and current industry trends and generate technical parameter revision support data;

[0035] Intelligent optimization algorithm module, which performs multivariate analysis of technical parameters through multi-dimensional data input, captures the interaction between multiple variables based on nonlinear regression model, and generates the optimal technical parameter revision plan;

[0036] The historical revision record optimization module assigns weights to different historical revision records through an exponential weighting algorithm, making the latest revision record have a higher reference value;

[0037] The market data matching and trend prediction module predicts market dynamics and trends through long-term and short-term memory models, generating accurate technical parameter revision forecasts;

[0038] Automatic revision generation module, used to generate technical parameter revision schemes based on the analysis results of intelligent optimization algorithms, and includes analysis of relevant influencing factors;

[0039] Automatic verification module to check the legality of revised technical parameters to ensure that they comply with material procurement standards and industry standards;

[0040] A revision feedback module that allows users to provide feedback on automatically generated revision schemes and optimizes future revision algorithms based on user feedback;

[0041] The revision log and version management module records all detailed information during the technical parameter revision process, including parameter values ​​before and after revision, reasons for revision and influencing factors, and generates a new version for each revision for traceability.

[0042] The multivariate analysis formula of the intelligent optimization algorithm module is as follows:

[0043]

[0044] Among them, P(t) is the technical parameter value at time point t, X i (t), X j (t) are the i-th and j-th influencing factors, n is the total number of influencing factors, β i is the linear regression coefficient, γ ij is the interaction term coefficient, δ1 is the quadratic effect coefficient, and β0 is the constant term.

[0045] The exponential weighting formula of the historical revision record optimization module is:

[0046] W n =α(1-α) n-1

[0047] Among them, W n is the weight of the nth historical revision record, α is the smoothing coefficient, and n is the time interval.

[0048] The prediction formula of the market data matching and trend prediction module is:

[0049] Y t =f(Y t-1 ,Y t-2 ,...,Y t-n ;θ)+∈ t

[0050] Among them, Y t is the predicted value of the technical parameters at time point t, f is the long short-term memory model function, θ is the model parameter, ∈ t is the error term.

[0051] The fast approval module further includes:

[0052] The approval process automation integration module is used to revise the content according to technical parameters, merge multiple approval nodes, and form an integrated approval process;

[0053] The conditional trigger module is used to automatically trigger the corresponding approval process when the technical parameters are revised and the preset conditions are met;

[0054] Dynamic approval path optimization module, which is used to automatically select the most appropriate approver based on the complexity and impact of the revision, and track the progress of the approval process in real time;

[0055] Automatic reminder module, which sends reminders to approvers when the approval process is interrupted or exceeds the preset time limit;

[0056] An approval acceleration module is used to prioritize important or urgent technical parameter revisions in emergency situations;

[0057] The approval rule customization module allows users to customize approval rules according to business needs;

[0058] The approval log and audit module is used to record every step of the approval process and provide audit functions.

[0059] Beneficial effects:

[0060] The automated system for revising technical specifications provided by the present invention realizes the high efficiency, accuracy and automation of the revision process of technical specifications by integrating unified configuration of technical parameters, scenario application, intelligent optimization algorithm and rapid approval module. First, the unified association configuration module of technical parameters ensures the centralized management and standardized processing of technical parameters, avoiding data redundancy and errors; the scenario application module improves the flexibility and efficiency of technical specification generation through template library and automatic prompts. Secondly, the intelligent optimization algorithm module automatically generates the optimal technical parameter revision plan through multi-dimensional data analysis and market trend prediction, which improves the accuracy and timeliness of the revision. Finally, the rapid approval module shortens the approval time through the integration of approval process, automatic reminder and approval acceleration mechanism, ensuring that the revised technical specifications can be quickly applied to actual business. This system greatly improves the work efficiency of enterprises, reduces the risk of human errors, and enhances the traceability and transparency of technical specification management. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present application, but do not constitute an improper limitation of the present invention. In the drawings:

[0062] Figure 1 A schematic diagram of the structure of an automated revision system for revising technical specifications is shown. DETAILED DESCRIPTION

[0063] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, wherein the illustrative embodiments and descriptions are only used to explain the present invention but are not intended to limit the present invention.

[0064] Example 1 Technical Specification Revision System

[0065] like Figure 1 As shown, this embodiment provides an automated revision system for revising technical specifications. The system is composed of multiple modules, including a technical parameter unified association configuration module 101, a scenario application module 102, a technical parameter revision module 103 and a fast approval module 104.

[0066] Technical parameter unified association configuration module 101: used to configure technical parameters in a unified and centralized manner. This module can centralize technical parameters from different business departments, material procurement standards or industry standards into a single data platform for management. The technical parameter unified association configuration module realizes centralized storage and management of technical parameters by establishing a standardized technical parameter database. This centralized parameter configuration avoids duplication of work and errors caused by information dispersion, and ensures the consistency and accuracy of technical parameters in various business scenarios.

[0067] Scenario application module 102: used to generate corresponding technical specifications based on different business requirements by referencing pre-defined technical specification templates or procurement standard templates. The scenario application module can flexibly select technical specification templates based on specific application scenarios (such as material procurement, engineering project construction, etc.). With the guidance of the scenario application module, users can quickly generate technical specifications that meet current business requirements, reducing the lengthy steps in the manual compilation process.

[0068] Technical parameter revision module 103: used to adjust technical parameters according to material procurement standards or actual business needs, and realize automatic revision of technical parameters. The technical parameter revision module integrates an intelligent optimization algorithm based on big data, and generates optimal parameter revision suggestions by analyzing historical revision data and standardized data. Specifically, the technical parameter revision module can automatically analyze the historical adjustment records of technical parameters, market dynamics, and data change trends of relevant industry standards, and generate optimized technical parameter revision plans based on this. This automated revision method not only improves the revision efficiency, but also ensures the accuracy of technical parameter revisions and avoids errors in human operations.

[0069] Rapid approval module 104: used to simplify the approval process after the technical parameters are revised. The rapid approval module optimizes the approval process of material procurement standards, technical parameter master data, technical specification templates, etc. by merging multiple approval processes, so that the revised technical specifications can be quickly approved by relevant departments. The rapid approval module can track the revision of technical parameters in real time and automatically trigger the corresponding approval steps according to preset conditions, which significantly shortens the approval time and ensures the rapid release and application of technical specifications.

[0070] Example 2 Technical parameter unified association configuration module 101

[0071] The technical parameter unified association configuration module 101 is one of the key components of the present invention, and is mainly used to centrally manage the technical parameters from different business departments, material procurement standards or industry standards. Through this module, all technical parameters will be collected on a centralized data platform for standardized processing to ensure the consistency and accuracy of technical parameters in various business scenarios.

[0072] In this embodiment, the technical parameter unified association configuration module 101 first establishes a technical parameter database, which covers various technical parameters required for different business processes and scenarios, including but not limited to material specification parameters, procurement standard parameters, industry technical standards and other associated parameters. In the process of building the technical parameter database, the module formats and classifies the parameters through a standardized algorithm to ensure data consistency and operability.

[0073] Specifically, the technical implementation details of this module include the following steps:

[0074] 1. Input and acquisition of technical parameters

[0075] The input of technical parameters can be achieved in many ways, mainly including:

[0076] Manual input: Users directly input relevant technical parameters through the system interface. This method is suitable for personalized parameter entry based on business needs.

[0077] Data import: The system supports importing large quantities of technical parameters from external systems, such as importing standard parameters from existing procurement systems, material management systems or industry databases. The system automatically recognizes and reads these data and incorporates them into the technical parameter database according to the preset format.

[0078] Automatic collection: In some scenarios, the system can connect to external standard libraries or real-time data sources through API interfaces to automatically collect the latest industry technical standards or material procurement standards.

[0079] 2. Standardization of technical parameters

[0080] In order to ensure that all technical parameters can be centrally managed on a unified platform, the system will standardize the parameters after the technical parameters are entered or imported. The standardization process mainly includes:

[0081] Formatting: The system will convert technical parameters from different sources into a unified format. For example, material parameters in different units will be converted uniformly (such as conversion between meters and millimeters, kilograms and grams), ensuring that all parameters have consistent measurement standards.

[0082] Classification and grading: Technical parameters are classified and graded according to their categories and importance. For example, parameters can be divided into material specification parameters, functional parameters, quality standard parameters, etc., and their importance is marked according to business needs to ensure that key parameters can be given priority in subsequent revisions and approvals.

[0083] Deduplication and merging: For the same technical parameters entered by different departments, the system will automatically identify duplicate data and merge them to avoid information redundancy caused by entering the same data multiple times. This function uses a content-based hash algorithm to identify duplicates, thereby quickly locating duplicate entries in massive data.

[0084] 3. Correlation and synchronization of technical parameters

[0085] In the process of centralized configuration of technical parameters, the unified association configuration module 101 of technical parameters also supports the association and synchronization of technical parameters with different business scenarios or department requirements. Specifically, the system will associate the requirements of each business department with the material procurement standards and industry standards through the unique identifier of the parameter, ensuring that all relevant departments can share the latest data version when using these technical parameters.

[0086] Association mechanism: Each technical parameter is assigned a unique identifier (ID) in the database, which is used not only to record the source of the parameter, but also to track its reference in different business scenarios. For example, the specification parameters of a material can be used in the preparation of technical specifications for multiple projects at the same time. Through this identifier, the system can ensure the consistency of the same technical parameter in different scenarios.

[0087] Real-time synchronization: The update or revision of technical parameters can be synchronized to all relevant business scenarios in real time. When a technical parameter changes in the material procurement standard, the system will automatically push the latest version of the parameter to all business processes that reference the parameter through the parameter association mechanism to ensure data synchronization.

[0088] 4. Version management and change records

[0089] In order to ensure the traceability and transparency of technical parameters, the technical parameter unified association configuration module 101 also has version management and change record functions. Every time a technical parameter is modified or updated, the system will automatically generate a new version and store the modification record in the historical data of the technical parameter.

[0090] Version control: Each parameter in the technical parameter database has a version control function. Each modification or update will generate a new version number, and the old version data will still be retained for reference in the subsequent audit or traceability process. The system supports users to compare different versions of technical parameters in order to understand the specific content of each change.

[0091] Change log: The system automatically records detailed information about each technical parameter change, including modification time, modification content, modifier, and modification reason. Through this log mechanism, system administrators or auditors can view the change history of technical parameters at any time to ensure the transparency of the technical parameter management process.

[0092] 5. Automatic verification and review

[0093] In order to avoid errors during the input or modification of technical parameters, the system also provides an automatic verification function. Each time a parameter is input or updated, the system will verify the parameter according to the preset rules, including unit consistency check, parameter logic relationship check and value range check.

[0094] Unit verification: The system will automatically check whether the units of technical parameters meet business requirements. For example, for weight parameters, the system will check whether a unified kilogram or ton unit is used. If inconsistent unit input is found, the system will prompt the user to make corrections.

[0095] Logical relationship verification: There are interdependencies between certain technical parameters. For example, parameter A cannot be greater than parameter B. The system will automatically check whether these relationships meet the set standards through logical rules and prompt the user if the parameter input is illegal.

[0096] Numerical range verification: The system also supports automatic verification of preset numerical ranges. For example, the length range of a certain material is 1-10 meters. When a value outside this range is entered, the system will automatically remind the user to correct it.

[0097] Through the above technical means, the technical parameter unified association configuration module 101 realizes the centralized and standardized management of technical parameters, ensures the consistency and accuracy of technical parameters in various business scenarios, and greatly improves the efficiency of technical parameter management.

[0098] Embodiment 3 Scenario application module 102

[0099] The scenario application module 102 is used to quickly generate corresponding technical specifications by quoting predefined technical specification templates or procurement standard templates according to different business requirements. This embodiment describes in detail the working principle, functional flow and specific technical implementation method of the scenario application module 102.

[0100] In this embodiment, the scenario application module 102 ensures that users can flexibly select appropriate technical specification templates or procurement standard templates according to current business needs (such as material procurement, engineering project construction, etc.) by designing a variety of template libraries for different business scenarios. This template design not only reduces the lengthy steps of manually compiling technical specifications, but also improves the efficiency and accuracy of the specification generation process.

[0101] 1. Construction and management of template library

[0102] The scenario application module 102 pre-designs and stores technical specification templates and procurement standard templates for various business scenarios. The template library is customized according to industry standards, internal enterprise standards, and historical business data. Each template consists of several fixed and variable parts to adapt to changes in different business needs. The template library supports users to quickly select and call corresponding templates according to different business scenarios.

[0103] Fixed part: refers to the general technical specifications contained in the template, which are applicable to all business scenarios of the same type, such as technical standards for a specific industry, general material specifications, etc. These contents will not change due to specific business needs, ensuring the standardization of the template.

[0104] Variable part: refers to the part of the template that can be adjusted according to specific business needs. Users can modify or customize this part according to project characteristics, material requirements or the actual situation of engineering construction. Variable parts usually include technical parameters, time arrangements, special requirements, etc.

[0105] In terms of technical implementation, the scenario application module 102 stores and manages these templates through a template database. The template database supports fast retrieval and classification, and users can quickly search for templates by keywords, project types, material categories, and other conditions.

[0106] 2. Scene selection and template calling

[0107] When the user starts the process of compiling a technical specification, the scenario application module 102 first provides a plurality of recommended business scenario options according to the business requirements input by the user. Each business scenario corresponds to a plurality of templates, which are pre-defined standardized templates based on past business processes and industry experience.

[0108] Scenario selection mechanism: The scenario application module supports automated scenario matching. When a user enters a specific business requirement (e.g., material procurement, engineering project construction), the system will automatically match the most suitable business scenario based on the requirement and recommend a suitable technical specification template. For example, if the user selects the "material procurement" scenario, the system will recommend the relevant material procurement standard template; if the user selects "engineering project construction", the system will recommend the technical specification template related to the engineering project.

[0109] Template calling mechanism: Once the user confirms the business scenario, the system will automatically call the template corresponding to the scenario from the template library. The system provides a template preview function, and users can view the content of the template before formally generating the technical specification to ensure that it meets the current business needs.

[0110] 3. Customization and adjustment of templates

[0111] After calling the template to generate a preliminary technical specification, the scenario application module 102 allows the user to adjust the template according to specific business needs. The user can personalize the variable part, such as adding or modifying technical parameters, adjusting material specifications, adding specific project descriptions, etc.

[0112] Automated prompts and suggestions: To improve the efficiency of the adjustment process, the scenario application module 102 has a built-in intelligent prompt function. The system can provide suggestions for user input based on historical data and industry standards. For example, when a user modifies a technical parameter, the system will automatically prompt other variables related to this parameter or factors that may affect it, ensuring that the user can comprehensively consider business needs and avoid missing key details.

[0113] Parameter linkage mechanism: The scenario application module supports parameter linkage. When the user modifies a key parameter in the template, the system will automatically adjust other related parameters. For example, after modifying the material specifications, the system will automatically adjust the matching technical requirements or procurement standards to ensure consistency.

[0114] 4. Technical specification generation and output

[0115] After the adjustment is completed, the scenario application module 102 will generate the final technical specification based on the template content selected by the user and the modified parameters. This process is fully automated, and the system will integrate the fixed part of the template and the variable part modified by the user to generate a technical specification document that meets business needs.

[0116] Output format: Technical specifications can be output in a variety of formats, including PDF, Word and other common document formats. Users can choose the appropriate output format according to specific needs for subsequent review, signing or release.

[0117] Version management and history records: The scenario application module also supports the version management function of the technical specification. Each time a technical specification is generated, the system automatically records the generation time, template version, and user modification history. This makes it easier for users to track versions and audit content, ensuring the transparency and traceability of the specification content.

[0118] 5. Template update and maintenance

[0119] In order to ensure the accuracy and applicability of the technical specification, the scenario application module 102 provides a template update and maintenance function. The system administrator or designated user can regularly update the technical specification templates in the template library according to the latest industry standards, regulations or business requirements.

[0120] Automatic update mechanism: The system supports automatic template update function. When industry standards or internal enterprise standards change, the scenario application module will automatically detect the difference between the template in the template library and the latest standard and prompt the user to update. Users can choose to automatically synchronize these updates to ensure that the generated technical specifications always meet the latest standard requirements.

[0121] Manual update mechanism: In addition to automatic updates, the system also allows users to manually update template content. Users can create new templates or revise existing templates in the system according to actual needs, and save them to the template library for subsequent use.

[0122] Through the above specific implementation, the scenario application module 102 realizes the function of automatically referencing predefined technical specification templates or procurement standard templates according to different business requirements. Users can quickly generate technical specifications through this module, reduce the steps of manual compilation, improve work efficiency, and ensure that the generated technical specifications meet current business requirements and industry standards.

[0123] Example 4 Technical Parameters Revision Module 103

[0124] The technical parameter revision module 103 is a core component for adjusting technical parameters according to material procurement standards or actual business needs and realizing automatic revision of technical parameters. This embodiment expands the technical parameter revision module 103 in detail, describing the specific details of its working principle, algorithm application and technical implementation.

[0125] Automated Revision Process:

[0126] The technical parameter revision module 103 relies on the big data intelligent optimization algorithm to generate the optimal technical parameter revision suggestions through real-time analysis of historical revision data, market dynamics and industry standards. The automated revision process of this module is mainly divided into the following steps:

[0127] Data collection: The technical parameter revision module first collects relevant data such as the revised technical parameters, market price fluctuations, and changes in industry standards from the historical record library. These data come from the system logs, external market data interfaces, and standard databases, and the module will update these data in real time.

[0128] Data analysis and mining: Through big data analysis technology, the module can conduct in-depth analysis of historical data and current industry trends. The module's integrated data mining algorithm predicts possible future demand changes by detecting historical change trends of parameters, current market dynamics, and industry standards, and provides data support for revisions.

[0129] Application of intelligent optimization algorithm:

[0130] In the technical parameter revision module 103, the intelligent optimization algorithm is the core of realizing the automatic revision of technical parameters. The algorithm performs multi-dimensional optimization of parameters based on multi-dimensional data input. The following are the detailed application steps of the intelligent optimization algorithm:

[0131] In the technical parameter revision module 103, the intelligent optimization algorithm is the core of realizing the automatic revision of technical parameters. This embodiment describes the detailed application steps of the intelligent optimization algorithm, and ensures the accurate revision of technical parameters by introducing multivariate analysis, historical revision record weight optimization, and market data matching and trend prediction.

[0132] During the revision of technical parameters, the factors that affect parameter changes are usually multi-dimensional. In order to accurately predict the changes in technical parameters, the technical parameter revision module uses nonlinear regression models to capture the complex relationship between multiple variables. By introducing interaction terms and quadratic terms, the system can better understand the interaction between influencing factors and generate optimal revision suggestions.

[0133] In actual application, the system first collects data on multiple influencing factors related to technical parameters, such as market prices, supply and demand conditions, changes in procurement standards, etc. Then, the intelligent optimization algorithm performs multivariate analysis through the following formula:

[0134]

[0135] Where P(t) is the technical parameter value X at time point t i (t) is the ith influencing factor (out of n), X i (t) is the jth (out of n) influencing factor, n is the total number of influencing factors, β i is the linear regression coefficient, γ ijis the coefficient of interaction, and δ1 is the coefficient of quadratic effect. This formula can capture the complex interactions between multiple variables, and is particularly suitable for scenarios where technical parameters are affected by multiple interrelated factors. By performing multivariate analysis on these influencing factors, the system can effectively improve the prediction accuracy of technical parameter changes.

[0136] In nonlinear regression models, β0 represents the constant term (Intercept), also known as bias or intercept. In the formula, its role is to provide a benchmark value, that is, when the values ​​of all other influencing factors (i.e. X i When β0 is zero, it represents the basic value or starting value of the technical parameter P(t).

[0137] Optimized weight distribution of historical revision records:

[0138] The revision of technical parameters often depends on historical data, but different historical revision records have different reference values ​​for the current revision. In order to more reasonably distribute the weights of historical revision records, the system optimizes them through an exponential weighting formula, so that the latest revision record has a higher reference value for the current revision, while the weight of earlier records gradually decreases.

[0139] The formula for optimizing weight distribution is:

[0140] W n =α(1-α) n-1

[0141] Among them, W n is the weight of the nth historical revision record, α is the smoothing coefficient, which is usually set between 0<α<1 to control the weight of the latest data, and n is the time interval. Through this exponential weighting method, the system can quickly adjust the reference weight of historical revision records, so that the latest revision data occupies a larger proportion in the revision process, while the earlier historical data gradually decays. This method effectively enhances the system's sensitivity to the latest market changes, while still retaining the reference role of historical data to ensure the accuracy of the revision results.

[0142] Market data matching and trend forecasting:

[0143] In addition to historical data, technical parameter revisions also need to refer to real-time market dynamics and future market trends. To this end, the technical parameter revision module introduces the long short-term memory model (LSTM) to perform time series analysis on market data and predict future market fluctuations, thereby adjusting technical parameters more accurately.

[0144] This model combines the long-term and short-term dependencies of time series and can capture the long-term fluctuation trend and short-term changes of technical parameters. Its formula is:

[0145] Y t=f(Y t-1 ,Y t-2 ,...,Y t-n ;s)+∈ t

[0146] Among them, Y t is the predicted value of the technical parameter at time point t, f is the LSTM model function, which is used to capture long-term and short-term dependencies, θ is the model parameter, ∈ t is the error term. Through the application of the LSTM model, the system can combine the long-term data of the time series with the latest market dynamics for analysis to generate a more accurate forecast of technical parameter revisions. The system adjusts the technical parameters in advance based on the forecast to ensure that the revision plan matches future market changes.

[0147] In summary, the intelligent optimization algorithm significantly improves the accuracy and efficiency of technical parameter revision through multivariate analysis, historical data weight optimization and market trend forecasting. The algorithm can comprehensively consider current business needs, historical revision records and future market trends to generate the optimal parameter revision plan, ensuring the accuracy and real-time nature of the revision.

[0148] Automated revision scheme generation:

[0149] Based on the analysis results of the intelligent optimization algorithm, the technical parameter revision module will automatically generate a technical parameter revision plan. The plan includes the revised parameter recommended values ​​and the analysis results of the influencing factors. Users can choose to automatically apply the revision plan recommended by the system, or manually adjust the parameters according to the specific situation.

[0150] Automatic suggestion generation: The system will generate parameter adjustment suggestions based on the optimal parameter revision values ​​calculated by the optimization algorithm. The suggestions include the values ​​of the new parameters, the basis for the recommendation, and the analysis of related influencing factors.

[0151] For example, if the purchase price of a certain material fluctuates greatly, the system may suggest adjusting the relevant procurement parameters and list the influencing factors (such as supply and demand relationships, historical price fluctuations, etc.) to help users understand the logic behind the revision suggestions.

[0152] Automatic verification and feedback of revisions:

[0153] To ensure that the revised technical parameters meet business requirements, the technical parameter revision module integrates an automatic verification function. The verification function will perform a legality check on each revised parameter to ensure that the parameter meets the material procurement standards and industry standards.

[0154] Legality check: After the technical parameters are adjusted, the system will perform a series of legality checks on them. For example, check whether the parameters are within the specified range and whether they meet the preset standards and business rules. If the revised parameters are illegal, the system will automatically prompt the user to correct them.

[0155] User feedback mechanism: After the revision is completed, the technical parameter revision module also allows users to provide feedback on the revision plan generated by the system. Users can evaluate the rationality and accuracy of the revision plan based on actual application conditions, and the system will continuously optimize future revision algorithms based on these feedbacks.

[0156] Traceability and version management of the revision process:

[0157] After each technical parameter revision is completed, the system will record the detailed process of the revision, including the parameter value before revision, the recommended value after revision, the reason for revision, and the analysis of related influencing factors. This information will be stored in the revision log of the system for subsequent audit or traceability.

[0158] Version control: The technical parameter revision module performs version control on each revised parameter. Whenever a technical parameter changes, the system will generate a new version, and users can view the revision history of the parameter to understand the differences between different versions.

[0159] Revision log: The revision log records the process of each revision in detail. Users can retrieve revision records based on various conditions such as time, revision person, revision reason, etc. This log mechanism ensures the transparency and traceability of the technical parameter revision process.

[0160] Through the above detailed technical means, the technical parameter revision module 103 realizes the automatic revision of technical parameters, greatly improving the revision efficiency and ensuring the accuracy of the revision. The module uses an intelligent optimization algorithm to conduct an in-depth analysis of historical data, market dynamics and industry standards, automatically generates the optimal revision plan, and ensures that the revised parameters meet business requirements through a strict verification mechanism. This automated revision method not only reduces human errors, but also can dynamically adjust technical parameters according to changes in the external environment, providing strong support for enterprises to maintain their competitiveness in a complex market environment.

[0161] Example 5 Rapid Approval Module 104

[0162] The rapid approval module 104 is intended to simplify the approval process after the technical parameters are revised, ensuring that the technical specifications can be quickly approved and released by relevant departments. This implementation plan describes in detail the functional structure, workflow and technical implementation of the rapid approval module, focusing on how to optimize the approval process and shorten the approval time through automation.

[0163] 1. Automated integration of approval processes

[0164] The traditional technical parameter approval process usually needs to be reviewed by multiple departments, involving multiple approval links such as material procurement standards, technical parameter master data, technical specification templates, etc. The whole process may take a lot of time. In order to simplify the process, the fast approval module 104 forms an integrated approval process by merging and optimizing these links.

[0165] Process integration: The quick approval module will automatically integrate multiple approval nodes according to the revised content of technical parameters. For example, the update of material procurement standards, the revision of technical parameters, and the adjustment of technical specification templates originally required separate approvals. The module will merge these operations into an overall approval process to avoid repeated approvals and unnecessary intermediate links.

[0166] Conditional triggering: When the technical parameter revision is completed and meets the preset conditions (such as the revision parameter range or the complexity of the revision), the module will automatically trigger the corresponding approval process. The preset conditions can be configured according to the management requirements of the enterprise. For example, the revision of certain key technical parameters may require a high-priority approval process, while simpler revisions can be processed through a simplified approval channel.

[0167] 2. Approval path optimization and real-time tracking

[0168] To further shorten the approval time, the fast approval module has designed a dynamically optimized approval path, which automatically selects the most appropriate approver based on the complexity and impact of the revision, and tracks the progress of each approval link in real time.

[0169] Dynamic path selection: The system will intelligently select the approval path based on the revised technical parameters and the scope of departments affected. For example, if the revision only involves a small number of technical parameters, the system will give priority to the department head with relevant approval authority for direct approval to avoid the approval process flowing between multiple unrelated departments. For revisions of a larger scope, the system will enable a multi-department collaborative approval mechanism.

[0170] Real-time tracking function: After the approval process is started, the quick approval module can track each approval step in real time and display the progress of the approval. The module can automatically record the processing time of each approval node, the approver's opinion and the approval status. The system will provide users with feedback on the status of the current approval process through a visual progress bar or status list, ensuring that users can grasp the progress of the approval in real time.

[0171] 3. Automatic reminder and approval acceleration mechanism

[0172] In order to avoid delays in the approval process, the quick approval module is designed with automatic reminders and approval acceleration mechanisms. When the approval process is interrupted or stagnant, the system can automatically send reminders to relevant approvers to ensure that the approval process is completed on time.

[0173] Automatic reminder function: When a certain approval node exceeds the preset processing time limit, the system will automatically send a reminder notification to the relevant approver. The notification can be in the form of email, SMS or system message, reminding the approver to handle the revision task in time. If the approver fails to handle it within the specified time, the system will send a reminder again, or escalate the notification to the upper management according to the urgency.

[0174] Approval acceleration mechanism: In emergency situations, the system supports the approval acceleration function. This function can give priority to certain important or urgent technical parameter revisions according to user needs. The system allows users to set the emergency approval level, and the system will automatically speed up the approval process, assign the revision task directly to the senior approver, and shorten the approval time to a minimum. For example, in the revision of the technical specification of a major engineering project, users can directly trigger the high-priority approval path through the acceleration mechanism to ensure that the technical specification can be released in the shortest time.

[0175] 4. Customization and optimization of approval rules

[0176] The quick approval module allows users to customize approval rules to ensure that the system can adapt to different business needs and approval processes. Users can flexibly set approval rules based on the complexity of the revision, the importance of technical parameters, and the scope of impact.

[0177] Custom rule settings: Users can set different approval rules according to the internal management requirements of the enterprise. For example, the revision of key technical parameters requires multi-level approval, while the revision of general parameters can be completed through a simplified single-level approval process. The system supports setting different approval rules for different types of technical parameters and allows adjustments based on business needs.

[0178] Approval process optimization: The quick approval module has a built-in optimization algorithm for the approval process. The system can continuously optimize the approval process based on historical approval data and user feedback. For example, the system will automatically analyze the distribution of approval time, identify bottlenecks in the approval process, and provide optimization suggestions to users. In this way, the system can continuously improve the approval process and reduce unnecessary time consumption.

[0179] 5. Approval log and audit function

[0180] In order to ensure the transparency and traceability of the approval process, the quick approval module provides an approval log recording function. The operation of each approval node will be recorded in detail, and users can view the specific content of each approval link at any time.

[0181] Log Recording: Whenever the approval process is started or completed, the system will automatically generate an approval log. The log content includes the approver, approval time, approval opinion, and specific approval content. In this way, users can trace the approval process of technical parameter revisions to ensure that all operations are transparent and traceable.

[0182] Audit function: The system supports comprehensive auditing of the approval process. Users can filter approval records based on time, technical parameter type, approver and other conditions, making it easier for managers to review the approval process. The system also provides audit reports to help users analyze the efficiency and compliance of the approval process.

[0183] Through the above technical means, the fast approval module 104 simplifies and optimizes the approval process after the technical parameters are revised. The system greatly shortens the approval time of the technical specification through automated approval path selection, real-time tracking, automatic reminders, and approval acceleration mechanisms, ensuring that the revised technical parameters can be quickly applied to actual business. At the same time, the module supports custom approval rules and log audit functions, which enhances the flexibility and manageability of the system and ensures the efficiency and transparency of the approval process.

[0184] Example 6 Workflow of the Technical Specification Revision System

[0185] The Technical Specification Revision System consists of multiple modules, each of which plays a specific role in the workflow to ensure efficient revision and release of technical specifications. The system's workflow can be divided into the following key steps:

[0186] 1. Unified association configuration of technical parameters

[0187] Input and configuration: Users import or manually input relevant technical parameters through the technical parameter unified association configuration module 101. This module is responsible for centralized management of technical parameters from different business departments, material procurement standards or industry standards to ensure data consistency.

[0188] Data standardization: The system standardizes all input technical parameters, including format conversion, deduplication and classification, and stores these data in a standardized database.

[0189] Association and synchronization: The module will associate these technical parameters with different business scenarios and templates to ensure the synchronization and consistency of data in different scenarios.

[0190] 2.Scene application and template calling

[0191] Business scenario selection: The user selects a suitable business scenario in the scenario application module 102 according to current business needs (such as material procurement, engineering project construction).

[0192] Template call and generation: The system automatically calls the technical specification template or procurement standard template that matches the current business scenario from the template library and generates a preliminary technical specification. Users can preview and adjust the variable parts in the template according to business needs.

[0193] Template customization and adjustment: Based on specific needs, users can make personalized adjustments to the technical parameters in the template, and the system will automatically update the relevant parameters through a linkage mechanism.

[0194] 3. Revision of technical parameters of intelligent optimization algorithm

[0195] Data collection and analysis: The technical parameter revision module 103 automatically collects data such as historical revision records, market trends, and industry standards, and analyzes these data through multivariate analysis and optimization algorithms.

[0196] Generation of revision suggestions: The system generates the optimal technical parameter revision plan through multivariate regression analysis formula and weight allocation formula, combined with real-time market forecast data.

[0197] Automatic verification and revision: The system automatically adjusts technical parameters based on the generated revision suggestions and checks the legitimacy of the parameters through a built-in verification mechanism to ensure that the revised technical parameters meet business needs and standard requirements.

[0198] 4. Fast approval process

[0199] Automatic triggering of approval process: When the technical parameters are revised, the quick approval module 104 automatically triggers the approval process according to the preset conditions, integrates and optimizes multiple approval links, and forms an integrated approval path.

[0200] Dynamic path selection and real-time tracking: The system dynamically selects the optimal approval path based on the revised technical parameter range and complexity. Each node in the approval process will be tracked in real time, and users can view the approval progress.

[0201] Automatic reminder and acceleration mechanism: If the approval process is interrupted or delayed, the system automatically sends a reminder notification to the approver to ensure that the approval is completed on time. In an emergency, the user can trigger the approval acceleration mechanism to give priority to the revision of key technical parameters.

[0202] Approval completion and release: After the approval process is completed, the system will quickly release the revised technical specifications and synchronize them to relevant departments.

[0203] 5. Version management and logging

[0204] Version control: The system performs version control on each revised technical parameter and generates different versions of technical specifications. Users can trace and view the revision history.

[0205] Approval and revision log records: The system records the process of each approval and revision in detail, including the approver, revision time and revision reason, ensuring that each step is transparent and traceable.

[0206] Log audit and optimization: Managers can use the audit function to analyze the efficiency of the approval process and optimize future approval and revision processes based on log records.

[0207] 6. Final output and release

[0208] Technical specification output: The system generates standardized documents (such as PDF or Word format) from the revised and approved technical specifications for internal use and external publication.

[0209] Continuous optimization: The system continuously optimizes templates and approval processes based on user feedback and actual application results to ensure more efficient revision and release of future technical specifications.

[0210] The technical specification revision system optimizes the entire process from technical parameter input, revision to final approval and release through unified management of technical parameters, scenario-based applications, intelligent revision algorithms, and automated approval processes. The system reduces lengthy steps in manual operations, ensures the efficiency and accuracy of technical specification revisions, and adapts to technical requirements in complex business scenarios.

[0211] The above description is only a preferred embodiment of the present invention, so all equivalent changes or modifications made according to the structure, characteristics and principles described in the scope of the patent application of the present invention are included in the scope of the patent application of the present invention.

Claims

1. An automated revision system for revising technical specifications, characterized by: The automated revision system comprises: The technical parameter unified association configuration module is used to configure the technical parameters in a unified and centralized manner; Scenario application module, used to generate technical specifications by citing technical specification templates or procurement standard templates; A technical parameter revision module is used to adjust technical parameters according to material procurement standards and actual needs to achieve automatic revision of technical parameters. The technical parameter revision module integrates an intelligent optimization algorithm based on big data and generates optimal parameter revision suggestions by automatically analyzing historical revision data and standardized data; The fast approval module is used to simplify the approval process and ensure that the technical parameters are quickly approved after revision.

2. An automated revision system for revising a technical specification as claimed in claim 1, characterized in that: The technical parameter unified association configuration module is used to centrally manage technical parameters from different business departments, material procurement standards or industry standards, and further includes: A technical parameter input module is used to obtain technical parameters by manual input, data import or automatic collection; Technical parameter standardization processing module, used to format, classify and grade, remove duplicates and merge input technical parameters; The technical parameter association and synchronization module is used to associate and synchronize technical parameters through unique identifiers. When a technical parameter is updated, the updated parameter is automatically pushed to all business processes that reference the parameter. The version management and change record module is used to perform version control and change record on technical parameters, and record detailed information of each modification, including modification time, content, modifier and modification reason; The automatic verification module is used to verify the units, logical relationships and numerical ranges of technical parameters to ensure that the input and modified technical parameters comply with preset rules.

3. The automated revision system for revising a technical specification as claimed in claim 1, characterized in that: The scenario application module further includes: Template library, which pre-designs and stores technical specification templates and procurement standard templates for various business scenarios. The template library is constructed based on industry standards, internal enterprise standards, and historical business data. The template includes a fixed part and a variable part. The fixed part is used to store general technical specification content, and the variable part is adjusted according to specific business needs. The scenario selection module is used to recommend suitable business scenarios based on the business requirements input by the user and call the corresponding template from the template library; The template calling module is used to automatically call the template corresponding to the business scenario selected by the scenario selection module and provide a template preview function; Template customization module, which allows users to edit the variable parts of the template, including technical parameters, material specifications and project descriptions; The automated prompt module provides intelligent prompts and suggestions based on historical data and industry standards when users modify technical parameters; Parameter linkage module, which is used to automatically adjust other related parameters when the user modifies a key parameter; The technical specification book generation module is used to integrate the fixed part of the template and the variable part modified by the user to generate a technical specification book that meets business needs; Output module, used to output technical specifications in multiple formats, including PDF and Word; The version management module is used to record the version of each generated technical specification and the modification history.

4. The automated revision system for revising a technical specification as claimed in claim 1, characterized in that: The technical parameter revision module further includes: The data collection module is used to collect data related to technical parameters, market price fluctuations, and changes in industry standards from the historical record library, and update the data in real time; The data analysis and mining module uses big data analysis technology to analyze historical data and current industry trends and generate technical parameter revision support data; Intelligent optimization algorithm module, which performs multivariate analysis of technical parameters through multi-dimensional data input, captures the interaction between multiple variables based on nonlinear regression model, and generates the optimal technical parameter revision plan; The historical revision record optimization module assigns weights to different historical revision records through an exponential weighting algorithm, making the latest revision record have a higher reference value; The market data matching and trend prediction module predicts market dynamics and trends through long-term and short-term memory models, generating accurate technical parameter revision forecasts; Automatic revision generation module, used to generate technical parameter revision schemes based on the analysis results of intelligent optimization algorithms, and includes analysis of relevant influencing factors; Automatic verification module to check the legality of revised technical parameters to ensure that they comply with material procurement standards and industry standards; A revision feedback module that allows users to provide feedback on automatically generated revision schemes and optimizes future revision algorithms based on user feedback; The revision log and version management module records all detailed information during the technical parameter revision process, including parameter values ​​before and after revision, reasons for revision and influencing factors, and generates a new version for each revision for traceability.

5. An automated revision system for revising a technical specification as claimed in claim 4, characterized in that: The multivariate analysis formula of the intelligent optimization algorithm module is as follows: Among them, P(t) is the technical parameter value at time point t, X i (t), X j (t) are the i-th and j-th influencing factors, n is the total number of influencing factors, β i is the linear regression coefficient, γ ij is the interaction term coefficient, δ1 is the quadratic effect coefficient, and β0 is the constant term.

6. An automated revision system for revising a technical specification as claimed in claim 5, characterized in that: The exponential weighting formula of the historical revision record optimization module is: W n ＝α(1-α) n-1 Among them, W n is the weight of the nth historical revision record, α is the smoothing coefficient, and n is the time interval.

7. The automated revision system for revising a technical specification as claimed in claim 5, characterized in that: The prediction formula of the market data matching and trend prediction module is: AND t =f(Y t-1 ,AND t-2 ,...,AND t-n (θ)+∈ t Among them, Y t , Y t-1 , Y t-2 , Y t-n are the predicted values ​​of technical parameters at time points t, t-1, t-2, and tn, respectively, n is the time interval, f is the long short-term memory model function, θ is the model parameter, ∈ t is the error term.

8. The automated revision system for revising a technical specification as claimed in claim 1, characterized in that: The fast approval module (104) further comprises: The approval process automation integration module is used to revise the content according to technical parameters, merge multiple approval nodes, and form an integrated approval process; The conditional trigger module is used to automatically trigger the corresponding approval process when the technical parameters are revised and the preset conditions are met; Dynamic approval path optimization module, which is used to automatically select the most appropriate approver based on the complexity and impact of the revision, and track the progress of the approval process in real time; Automatic reminder module, which sends reminders to approvers when the approval process is interrupted or exceeds the preset time limit; An approval acceleration module is used to prioritize important or urgent technical parameter revisions in emergency situations; The approval rule customization module allows users to customize approval rules according to business needs; The approval log and audit module is used to record every step of the approval process and provide audit functions.

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