CN117709780A - High tension switchgear construction qualification's audit management system based on artificial intelligence - Google Patents
High tension switchgear construction qualification's audit management system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses an audit management system for construction qualification of a high-voltage switch cabinet based on artificial intelligence, belongs to the field of audit of construction qualification of the high-voltage switch cabinet, and solves the technical problems of how to audit and manage the construction qualification of the high-voltage switch cabinet, so that audit and management are more intelligent, and the risk of subjective judgment can be reduced when an applicant passing qualification audit is selected; the system realizes the automatic auditing and forecasting of the construction qualification of the high-voltage switch cabinet through the integration of the information acquisition module, the qualification judging module, the database, the qualification state auditing module and the construction forecasting and evaluating module, and compared with the traditional manual auditing, the automatic system can improve auditing efficiency, reduce human errors and rapidly respond and process a large amount of qualification information.
Description
Technical Field
The invention belongs to the field of high-voltage switch cabinet construction qualification auditing, and particularly relates to an auditing management system for high-voltage switch cabinet construction qualification based on artificial intelligence.
Background
The high-voltage switch cabinet is electric equipment, is mainly used for controlling, protecting and distributing high-voltage circuits, is generally used in a power transmission system and a power distribution system, and is used for switching on and off the circuits, protecting the electric equipment, regulating current and the like; the construction of the high-voltage switch cabinet is required to accord with a series of electrical engineering standards and specifications; the construction of the high-voltage switch cabinet generally comprises the following steps: electrical design and planning, foundation construction, equipment installation, cabling, establishing a grounding system, establishing a protection system, and the like. Before the construction project starts, the construction qualification information of the high-voltage switch cabinet submitted by the external organization or the enterprise can be checked.
The prior art (application publication number CN 110162548A) relates to a big data analysis system for electric bidding projects, which comprises a supplier base information management system and a bidding analysis system, wherein the supplier base information management system comprises a client for filling and reporting qualification information of a supplier and for managing personal information of the supplier, and a system for auditing, summarizing, analyzing and feeding back the qualification information received by the client by a manager; the bid-tendering analysis system is used for collecting and summarizing the whole bid-tendering process data in the past period, storing, counting, analyzing and displaying the data in a structured mode, and providing scientific bid-tendering suggestions and providing scientific basis for bid-tendering decisions. However, in the prior art, only the qualification performance is audited when construction qualification information audit management is performed, and the qualification performance is audited by auditors, so that the intelligence is not high, and the auditing process is complicated. In addition, potential risks after construction cannot be effectively considered when checking construction qualification information of the high-voltage switch cabinet at present.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides an auditing management system for construction qualification of a high-voltage switch cabinet based on artificial intelligence, which solves the problems of how to audit and manage the construction qualification of the high-voltage switch cabinet, so that auditing management is more intelligent, and the risk of subjective judgment can be reduced when an applicant passing qualification audit is selected.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
an audit management system of high tension switchgear construction qualification based on artificial intelligence includes: the construction prediction evaluation system comprises an information acquisition module, a qualification judging module, a database, a qualification state auditing module and a construction prediction evaluation module;
the information acquisition module is used for acquiring the construction qualification information of the high-voltage switch cabinet uploaded by the applicant, preprocessing the acquired construction qualification information of the high-voltage switch cabinet, acquiring at least one keyword of the construction qualification information of the high-voltage switch cabinet belonging to the corresponding applicant, correlating the acquired keyword with the construction qualification information of the corresponding high-voltage switch cabinet, generating a keyword correlation data set and sending the keyword correlation data set to the qualification judgment module;
the qualification judging module is used for classifying the qualification types of the acquired keyword-related data sets, comparing the classified keyword-related data sets with a preset high-voltage switch cabinet construction qualification keyword list, and judging whether the construction qualification information of the high-voltage switch cabinet corresponding to the acquired keyword-related data sets meets corresponding specifications; uploading the keyword associated data set marked with the standard-compliant label or the keyword associated data set not marked with the standard-compliant label to a database;
the database is used for storing the acquired keyword-associated data sets, integrating the keyword-associated data sets belonging to the same construction project and the applicant, and acquiring keyword-associated data set sets of corresponding application parties of corresponding construction projects; the database is also used for storing historical qualification audit data;
the qualification state auditing module is used for analyzing the integrated keyword associated data set sets of the corresponding construction project and the corresponding applicant in the database, calculating qualification state auditing factors of the corresponding applicant in the corresponding construction project, and judging whether the corresponding applicant can pass qualification auditing of the corresponding construction project according to the qualification state auditing factors;
the construction prediction evaluation module is used for analyzing the keyword associated data set of the corresponding applicant of the corresponding construction project marked as passing the examination in the database in combination with the historical qualification examination data, calculating construction evaluation coefficients of the corresponding construction project and the applicant, and grading the construction prediction of the corresponding applicant in the corresponding construction project according to the construction evaluation coefficients.
Further, the construction qualification information of the high-voltage switch cabinet comprises the following types: company basic information, project experience, technician qualification, equipment and tool lists, construction schemes, quality management systems, security management systems, and legal compliance certification.
Further, the information acquisition module carries out pretreatment on the acquired construction qualification information of the high-voltage switch cabinet, and the information acquisition module comprises:
if the acquired construction qualification information of the high-voltage switch cabinet is text information, extracting keywords from the acquired text information by using a natural language processing technology;
if the acquired construction qualification information of the high-voltage switch cabinet is image information, extracting text information in the image information by utilizing a computer vision technology, and extracting keywords from the text information extracted from the image information by utilizing a natural language processing technology;
and correlating the extracted at least one keyword with the qualification information of the corresponding high-voltage switch cabinet to generate a keyword correlation data set, and sending the acquired keyword correlation data set to a qualification judging module.
Further, the processing procedure of the qualification judging module comprises:
creating a preset high-voltage switch cabinet construction qualification keyword list; the content of the high-voltage switch cabinet construction qualification keyword list comprises the type of high-voltage switch cabinet construction qualification information and the corresponding keyword group;
inputting the acquired keyword-related data set into a qualification type identification model, outputting the construction qualification information type of the high-voltage switch cabinet of the keyword-related data set by the qualification type identification model, and marking the keyword-related data set with a corresponding construction qualification information type label of the high-voltage switch cabinet; the qualification type identification model is obtained by training and testing a large number of keyword sample data capable of identifying the construction qualification information type of the high-voltage switch cabinet in the early stage;
acquiring a keyword group corresponding to the construction qualification information type of the high-voltage switch cabinet from a construction qualification keyword list of the high-voltage switch cabinet according to the construction qualification information type label of the high-voltage switch cabinet of the keyword related data set;
comparing the keywords in the keyword-associated data set with the obtained keyword groups, and judging whether the construction information of the high-voltage switch cabinet contained in the corresponding keyword-associated data set meets the specification or not; if the keywords in the keyword-associated data set are completely matched with the acquired keyword groups, marking the keyword-associated data set with labels meeting specifications; if the keywords in the keyword-associated data set are not completely matched with the acquired keyword groups, marking the keyword-associated data set with labels which do not accord with the specifications;
and uploading the keyword association data set marked with the specification-compliant label or the keyword association data set not marked with the specification-compliant label to a database.
Further, the keyword groups corresponding to the construction qualification information types of the different high-voltage switch cabinets comprise at least one keyword; and the keywords contained in the keyword groups refer to qualification standards which must be contained in the construction project of the corresponding high-voltage switch cabinet qualification information types.
Further, the processing procedure of the qualification status auditing module comprises:
counting the number N of keyword associated data sets, which are in accordance with specifications, of corresponding application parties of corresponding construction projects from a database, and the qualification expiration time Ti of time-limited high-voltage switch cabinet construction qualification information in the keyword associated data sets, which are in accordance with specifications, of the corresponding application parties of the corresponding construction projects, wherein i represents the number of the time-limited high-voltage switch cabinet construction qualification information types, and i=1, 2 … … m; m represents the total number of construction qualification information types of the high-voltage switch cabinet with time limit in the current construction project;
and calculating a qualification state auditing factor CS of the corresponding applicant in the corresponding construction project, wherein the formula is as follows:
in the formula, NZ represents the total number of construction qualification information types of the high-voltage switch cabinet, which are required to meet the specification, of corresponding construction projects; t represents the planned finishing time of the corresponding construction project;
judging whether the corresponding applicant can pass qualification auditing of the corresponding construction project according to the qualification status auditing factor CS of the corresponding applicant in the corresponding construction project obtained through calculation;
if cs=0, indicating that all construction qualification information of the high-voltage switch cabinets submitted by the corresponding application parties cannot pass qualification audit, generating information that the audit fails, marking a timestamp, and sending the information to a database, wherein the database marks a keyword associated data set of the corresponding application party of the corresponding construction project as that the audit fails;
if CS is more than 0, the construction qualification information of all the high-voltage switch cabinets submitted by the corresponding application parties passes qualification auditing, the auditing passing information is generated, and the auditing passing information is sent to a database by marking a keyword associated data set of the corresponding application party of the corresponding construction project as auditing passing.
Further, the processing procedure of the construction prediction evaluation module comprises:
obtaining the organization or enterprise name, the organization or enterprise registration time TZ of the corresponding applicant of the corresponding construction project and the number NG of technicians meeting qualification specifications from a database; acquiring historical application times CW, historical bid times CZ and historical performance evaluation average score PL of an organization or enterprise from historical qualification audit data stored in a database according to the name of the organization or enterprise; wherein the historical performance assessment average score PL represents an average of performance assessment scores made on the project completion results of the enterprise in past projects that have been affiliated with the organization or enterprise;
calculating a construction evaluation coefficient PS of a corresponding applicant for a corresponding construction project in the current auditing time; the formula is as follows:
wherein a1, a2, a3 and a4 are preset proportionality coefficients of the registration duration of an organization or an enterprise, the number of technicians conforming to qualification specifications, the historical bid-winning rate and the historical performance evaluation average score respectively; and a4 > a3 > a1 > a2 > 0; a1+a2+a3+a4=1;
comparing the construction evaluation coefficient PS obtained by calculation with a preset first construction evaluation coefficient threshold PS1 and a preset second construction evaluation coefficient threshold PS2 respectively, and judging the construction prediction rating of the corresponding applicant in the corresponding construction project;
if PS is less than PS1, the construction prediction rating of the corresponding applicant in the corresponding construction project is not qualified;
if PS1 is less than or equal to PS and less than PS, the construction prediction rating of the corresponding applicant in the corresponding construction project is good;
if PS is more than or equal to PS2, the construction prediction rating of the corresponding applicant in the corresponding construction project is excellent;
and sending the construction prediction ratings of the corresponding applicant in the corresponding construction project to the database to be associated with the corresponding keyword association data set.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the construction qualification information of the high-voltage switch cabinet uploaded by the applicant party is acquired and preprocessed through the information acquisition module, the construction qualification information of the high-voltage switch cabinet corresponding to the key words acquired through preprocessing is associated, and the key word association data set is generated, so that the verification of whether the construction qualification information of the corresponding high-voltage switch cabinet accords with the specification is more convenient when the follow-up process is performed, and a data basis is provided for the follow-up process of various data; classifying the acquired keyword-related data sets through a qualification judging module, and judging whether construction qualification information of the corresponding high-voltage switch cabinet accords with corresponding qualification specifications according to keywords contained in the keyword-related data sets; the data sets related to all the keywords of the corresponding application parties of the corresponding construction projects are integrated through the database, so that the follow-up comprehensive analysis on whether the corresponding application parties of the corresponding construction projects can pass qualification audit is facilitated;
2. in the method, a keyword associated data set of a corresponding applicant of a corresponding construction project stored in a database is analyzed through a qualification state auditing module, qualification state auditing factors of the corresponding applicant in the corresponding construction project are calculated, whether the corresponding applicant can pass qualification auditing of the corresponding construction project or not is judged according to the qualification state auditing factors, and whether the corresponding applicant can pass qualification auditing can be judged rapidly; the construction prediction evaluation module is used for calculating construction evaluation coefficients of the corresponding construction project and the applicant based on the combination analysis of the keyword associated data set of the corresponding applicant of the corresponding construction project marked as passing the verification and the historical qualification verification data, and the construction prediction rating of the corresponding applicant in the corresponding construction project is carried out according to the construction evaluation coefficients; the method is beneficial to helping project management team scientifically make cooperative decisions and reduces the risk of subjective judgment; the qualification state auditing module and the construction prediction evaluation module can evaluate the construction performance of the applicant before the project starts, thereby being beneficial to identifying potential risks in advance, optimizing resource allocation and improving the overall success probability of the project.
3. According to the invention, through integration of the information acquisition module, the qualification judging module, the database, the qualification state auditing module and the construction prediction evaluation module, automatic auditing and prediction of construction qualification of the high-voltage switch cabinet are realized, and compared with the traditional manual auditing, the automatic system can improve auditing efficiency, reduce human errors and rapidly respond to and process a large amount of qualification information.
Drawings
FIG. 1 is a block diagram of an audit management system for construction qualification of a high-voltage switch cabinet based on artificial intelligence.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, an audit management system for construction qualification of a high-voltage switch cabinet based on artificial intelligence includes: the construction prediction evaluation system comprises an information acquisition module, a qualification judging module, a database, a qualification state auditing module and a construction prediction evaluation module;
the information acquisition module is used for acquiring the construction qualification information of the high-voltage switch cabinet uploaded by the applicant, preprocessing the acquired construction qualification information of the high-voltage switch cabinet, acquiring at least one keyword of the construction qualification information of the high-voltage switch cabinet belonging to the corresponding applicant, correlating the acquired keyword with the construction qualification information of the corresponding high-voltage switch cabinet, generating a keyword correlation data set and sending the keyword correlation data set to the qualification judgment module;
it is understood that a high-voltage switchgear is an electrical device, mainly used for controlling, protecting and distributing high-voltage power, and is generally used in a power transmission system and a power distribution system, for switching on and off a circuit, protecting electrical devices, regulating current, etc.; the construction of the high-voltage switch cabinet is required to accord with a series of electrical engineering standards and specifications; the construction of the high-voltage switch cabinet generally comprises the following steps: electrical design and planning, foundation construction, equipment installation, cable laying, grounding system establishment, protection system establishment and the like; the construction qualification information of the high-voltage switch cabinet generally comprises various types, such as basic company information, project experience, technician qualification, equipment and tool lists, construction schemes, quality management systems, safety management systems, legal compliance certificates and the like; the applicant refers to an organization or enterprise submitting construction qualification information of the high-voltage switch cabinet to obtain qualification of participating in the construction project of the high-voltage switch cabinet;
the construction qualification information of the high-voltage switch cabinet may comprise various formats, such as text format, image format and the like;
the information acquisition module carries out pretreatment on the acquired construction qualification information of the high-voltage switch cabinet, and the information acquisition module comprises the following components:
if the acquired construction qualification information of the high-voltage switch cabinet is text information, extracting keywords from the acquired text information by using a natural language processing technology;
if the acquired construction qualification information of the high-voltage switch cabinet is image information, extracting text information in the image information by utilizing a computer vision technology, and extracting keywords from the text information extracted from the image information by utilizing a natural language processing technology;
correlating the extracted at least one keyword with corresponding qualification information of the high-voltage switch cabinet, generating a keyword correlation data set, and sending the acquired keyword correlation data set to a qualification judging module;
the qualification judging module is used for classifying the qualification types of the acquired keyword-related data sets, comparing the classified keyword-related data sets with a preset high-voltage switch cabinet construction qualification keyword list, and judging whether the construction qualification information of the high-voltage switch cabinet corresponding to the acquired keyword-related data sets meets corresponding specifications; uploading the keyword associated data set marked with the standard-compliant label or the keyword associated data set not marked with the standard-compliant label to a database; comprising the following steps:
creating a preset high-voltage switch cabinet construction qualification keyword list, wherein a specific creation mode is created by a professional according to the industry standard, specification and terminology; the content of the high-voltage switch cabinet construction qualification keyword list comprises the type of high-voltage switch cabinet construction qualification information and the corresponding keyword group; it can be understood that the key word groups corresponding to the construction qualification information types of different high-voltage switch cabinets comprise at least one key word; and the keywords contained in the keyword group refer to qualification standards which must be contained in the construction project of the corresponding high-voltage switch cabinet qualification information type, for example, when the high-voltage switch cabinet qualification information type is a device and tool list, the keyword group must contain the names of the devices/tools, the types of the devices/tools and the like which need to be used;
inputting the acquired keyword-related data set into a qualification type identification model, outputting the construction qualification information type of the high-voltage switch cabinet of the keyword-related data set by the qualification type identification model, and marking the keyword-related data set with a corresponding construction qualification information type label of the high-voltage switch cabinet; the qualification type identification model is obtained by training and testing a large number of keyword sample data capable of identifying the construction qualification information type of the high-voltage switch cabinet in the early stage;
acquiring a keyword group corresponding to the construction qualification information type of the high-voltage switch cabinet from a construction qualification keyword list of the high-voltage switch cabinet according to the construction qualification information type label of the high-voltage switch cabinet of the keyword related data set;
comparing the keywords in the keyword-associated data set with the obtained keyword groups, and judging whether the construction information of the high-voltage switch cabinet contained in the corresponding keyword-associated data set meets the specification or not; if the keywords in the keyword-associated data set are completely matched with the acquired keyword groups, marking the keyword-associated data set with labels meeting specifications; if the keywords in the keyword-associated data set are not completely matched with the acquired keyword groups, marking the keyword-associated data set with labels which do not accord with the specifications;
uploading the keyword associated data set marked with the standard-compliant label or the keyword associated data set not marked with the standard-compliant label to a database;
the database is used for storing the acquired keyword-associated data sets, integrating the keyword-associated data sets belonging to the same construction project and the applicant, and acquiring the keyword-associated data set of the corresponding applicant of the corresponding construction project, so that effective management of the keyword-associated data sets of each construction project and each applicant in the database is realized; the specific integration method is the prior art, and is not repeated herein; it should be noted that, the related data set of the keywords of the same applicant for a construction project is not repeated in the database;
the qualification state auditing module is used for analyzing the integrated keyword associated data set sets of the corresponding construction project and the corresponding applicant in the database, calculating qualification state auditing factors of the corresponding applicant in the corresponding construction project, and judging whether the corresponding applicant can pass qualification auditing of the corresponding construction project according to the qualification state auditing factors; comprising the following steps:
counting the number N of keyword associated data sets, which are in accordance with specifications, of corresponding application parties of corresponding construction projects from a database, and the qualification expiration time Ti of time-limited high-voltage switch cabinet construction qualification information in the keyword associated data sets, which are in accordance with specifications, of the corresponding application parties of the corresponding construction projects, wherein i represents the number of the time-limited high-voltage switch cabinet construction qualification information types, and i=1, 2 … … m; m represents the total number of construction qualification information types of the high-voltage switch cabinet with time limit in the current construction project;
and calculating a qualification state auditing factor CS of the corresponding applicant in the corresponding construction project, wherein the formula is as follows:
in the formula, NZ represents the total number of construction qualification information types of the high-voltage switch cabinet, which are required to meet the specification, of corresponding construction projects; t represents the planned finishing time of the corresponding construction project;
judging whether the corresponding applicant can pass qualification auditing of the corresponding construction project according to the qualification status auditing factor CS of the corresponding applicant in the corresponding construction project obtained through calculation;
if cs=0, indicating that all construction qualification information of the high-voltage switch cabinets submitted by the corresponding application parties cannot pass qualification audit, generating information that the audit fails, marking a timestamp, and sending the information to a database, wherein the database marks a keyword associated data set of the corresponding application party of the corresponding construction project as that the audit fails;
if CS is more than 0, all construction qualification information of the high-voltage switch cabinets submitted by the corresponding application parties passes qualification auditing, auditing passing information is generated, a time stamp is made and sent to a database, and the database marks a keyword associated data set of the corresponding application party of the corresponding construction project as auditing passing;
the construction prediction evaluation module is used for combining and analyzing a keyword associated data set of a corresponding applicant of a corresponding construction project marked as passing the verification in the database with the historical qualification verification data, calculating construction evaluation coefficients of the corresponding construction project and the applicant, and grading construction prediction of the corresponding applicant in the corresponding construction project according to the construction evaluation coefficients; comprising the following steps:
obtaining the organization or enterprise name, the organization or enterprise registration time TZ of the corresponding applicant of the corresponding construction project and the number NG of technicians meeting qualification specifications from a database; acquiring historical application times CW, historical bid times CZ and historical performance evaluation average score PL of an organization or enterprise from historical qualification audit data stored in a database according to the name of the organization or enterprise; wherein the historical performance assessment average score PL represents an average of performance assessment scores made on the project completion results of the enterprise in past projects that have been affiliated with the organization or enterprise; the specific performance evaluation mode is evaluated by specific executors according to factors such as industry characteristics and project properties, and the like, and is not repeated herein;
calculating a construction evaluation coefficient PS of a corresponding applicant for a corresponding construction project in the current auditing time; the formula is as follows:
wherein a1, a2, a3 and a4 are preset proportionality coefficients of the registration duration of an organization or an enterprise, the number of technicians conforming to qualification specifications, the historical bid-winning rate and the historical performance evaluation average score respectively; and a4 > a3 > a1 > a2 > 0; a1+a2+a3+a4=1; wherein, the values of a1, a2, a3 and a4 are obtained by a large amount of data analysis in the early stage;
comparing the construction evaluation coefficient PS obtained by calculation with a preset first construction evaluation coefficient threshold PS1 and a preset second construction evaluation coefficient threshold PS2 respectively, and judging the construction prediction rating of the corresponding applicant in the corresponding construction project; the method comprises the steps that a first construction evaluation coefficient threshold value PS1 and a second construction evaluation coefficient threshold value PS2 are preset, and a large number of construction evaluation coefficients obtained through calculation and actual performances of the corresponding construction projects are obtained through analysis in the early stage;
if PS is less than PS1, the construction prediction rating of the corresponding applicant in the corresponding construction project is not qualified;
if PS1 is less than or equal to PS and less than PS, the construction prediction rating of the corresponding applicant in the corresponding construction project is good;
if PS is more than or equal to PS2, the construction prediction rating of the corresponding applicant in the corresponding construction project is excellent;
sending the construction prediction ratings of the corresponding applicant in the corresponding construction projects to a database to be associated with the corresponding keyword association data set;
according to the construction prediction rating, the construction performance of the corresponding application party in the corresponding construction project can be predicted; the method is beneficial to managing and controlling the potential risk of future construction project implementation and reducing the potential construction risk.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented; the modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of this embodiment.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (7)
1. An audit management system of high tension switchgear construction qualification based on artificial intelligence, its characterized in that: comprising the following steps: the construction prediction evaluation system comprises an information acquisition module, a qualification judging module, a database, a qualification state auditing module and a construction prediction evaluation module;
the information acquisition module is used for acquiring the construction qualification information of the high-voltage switch cabinet uploaded by the applicant, preprocessing the acquired construction qualification information of the high-voltage switch cabinet, acquiring at least one keyword of the construction qualification information of the high-voltage switch cabinet belonging to the corresponding applicant, correlating the acquired keyword with the construction qualification information of the corresponding high-voltage switch cabinet, generating a keyword correlation data set and sending the keyword correlation data set to the qualification judgment module;
the qualification judging module is used for classifying the qualification types of the acquired keyword-related data sets, comparing the classified keyword-related data sets with a preset high-voltage switch cabinet construction qualification keyword list, and judging whether the construction qualification information of the high-voltage switch cabinet corresponding to the acquired keyword-related data sets meets corresponding specifications; uploading the keyword associated data set marked with the standard-compliant label or the keyword associated data set not marked with the standard-compliant label to a database;
the database is used for storing the acquired keyword-associated data sets, integrating the keyword-associated data sets belonging to the same construction project and the applicant, and acquiring keyword-associated data set sets of corresponding application parties of corresponding construction projects; the database is also used for storing historical qualification audit data;
the qualification state auditing module is used for analyzing the integrated keyword associated data set sets of the corresponding construction project and the corresponding applicant in the database, calculating qualification state auditing factors of the corresponding applicant in the corresponding construction project, and judging whether the corresponding applicant can pass qualification auditing of the corresponding construction project according to the qualification state auditing factors;
the construction prediction evaluation module is used for analyzing the keyword associated data set of the corresponding applicant of the corresponding construction project marked as passing the examination in the database in combination with the historical qualification examination data, calculating construction evaluation coefficients of the corresponding construction project and the applicant, and grading the construction prediction of the corresponding applicant in the corresponding construction project according to the construction evaluation coefficients.
2. The auditing and management system for construction qualification of high-voltage switch cabinets based on artificial intelligence according to claim 1 is characterized in that: the construction qualification information of the high-voltage switch cabinet comprises the following types: company basic information, project experience, technician qualification, equipment and tool lists, construction schemes, quality management systems, security management systems, and legal compliance certification.
3. The auditing and management system for construction qualification of high-voltage switch cabinets based on artificial intelligence according to claim 1 is characterized in that: the information acquisition module is used for preprocessing the acquired construction qualification information of the high-voltage switch cabinet, and comprises the following steps:
if the acquired construction qualification information of the high-voltage switch cabinet is text information, extracting keywords from the acquired text information by using a natural language processing technology;
if the acquired construction qualification information of the high-voltage switch cabinet is image information, extracting text information in the image information by utilizing a computer vision technology, and extracting keywords from the text information extracted from the image information by utilizing a natural language processing technology;
and correlating the extracted at least one keyword with the qualification information of the corresponding high-voltage switch cabinet to generate a keyword correlation data set, and sending the acquired keyword correlation data set to a qualification judging module.
4. The auditing management system for construction qualification of high-voltage switch cabinets based on artificial intelligence according to claim 1, wherein: the processing procedure of the qualification judging module comprises the following steps:
creating a preset high-voltage switch cabinet construction qualification keyword list; the content of the high-voltage switch cabinet construction qualification keyword list comprises the type of high-voltage switch cabinet construction qualification information and the corresponding keyword group;
inputting the acquired keyword-related data set into a qualification type identification model, outputting the construction qualification information type of the high-voltage switch cabinet of the keyword-related data set by the qualification type identification model, and marking the keyword-related data set with a corresponding construction qualification information type label of the high-voltage switch cabinet; the qualification type identification model is obtained by training and testing a large number of keyword sample data capable of identifying the construction qualification information type of the high-voltage switch cabinet in the early stage;
acquiring a keyword group corresponding to the construction qualification information type of the high-voltage switch cabinet from a construction qualification keyword list of the high-voltage switch cabinet according to the construction qualification information type label of the high-voltage switch cabinet of the keyword related data set;
comparing the keywords in the keyword-associated data set with the obtained keyword groups, and judging whether the construction information of the high-voltage switch cabinet contained in the corresponding keyword-associated data set meets the specification or not; if the keywords in the keyword-associated data set are completely matched with the acquired keyword groups, marking the keyword-associated data set with labels meeting specifications; if the keywords in the keyword-associated data set are not completely matched with the acquired keyword groups, marking the keyword-associated data set with labels which do not accord with the specifications;
and uploading the keyword association data set marked with the specification-compliant label or the keyword association data set not marked with the specification-compliant label to a database.
5. The auditing and management system for construction qualification of high-voltage switch cabinets based on artificial intelligence of claim 4 is characterized in that: the key word groups corresponding to the construction qualification information types of the different high-voltage switch cabinets comprise at least one key word; and the keywords contained in the keyword groups refer to qualification standards which must be contained in the construction project of the corresponding high-voltage switch cabinet qualification information types.
6. The auditing management system for construction qualification of high-voltage switch cabinets based on artificial intelligence according to claim 1, wherein: the processing procedure of the qualification state auditing module comprises the following steps:
counting the number N of keyword associated data sets, which are in accordance with specifications, of corresponding application parties of corresponding construction projects from a database, and the qualification expiration time Ti of time-limited high-voltage switch cabinet construction qualification information in the keyword associated data sets, which are in accordance with specifications, of the corresponding application parties of the corresponding construction projects, wherein i represents the number of the time-limited high-voltage switch cabinet construction qualification information types, and i=1, 2 … … m; m represents the total number of construction qualification information types of the high-voltage switch cabinet with time limit in the current construction project;
and calculating a qualification state auditing factor CS of the corresponding applicant in the corresponding construction project, wherein the formula is as follows:
in the formula, NZ represents the total number of construction qualification information types of the high-voltage switch cabinet, which are required to meet the specification, of corresponding construction projects; t represents the planned finishing time of the corresponding construction project;
judging whether the corresponding applicant can pass qualification auditing of the corresponding construction project according to the qualification status auditing factor CS of the corresponding applicant in the corresponding construction project obtained through calculation;
if cs=0, indicating that all construction qualification information of the high-voltage switch cabinets submitted by the corresponding application parties cannot pass qualification audit, generating information that the audit fails, marking a timestamp, and sending the information to a database, wherein the database marks a keyword associated data set of the corresponding application party of the corresponding construction project as that the audit fails;
if CS is more than 0, the construction qualification information of all the high-voltage switch cabinets submitted by the corresponding application parties passes qualification auditing, the auditing passing information is generated, and the auditing passing information is sent to a database by marking a keyword associated data set of the corresponding application party of the corresponding construction project as auditing passing.
7. The auditing management system for construction qualification of high-voltage switch cabinets based on artificial intelligence according to claim 1, wherein: the construction prediction evaluation module comprises the following processing procedures:
obtaining the organization or enterprise name, the organization or enterprise registration time TZ of the corresponding applicant of the corresponding construction project and the number NG of technicians meeting qualification specifications from a database; acquiring historical application times CW, historical bid times CZ and historical performance evaluation average score PL of an organization or enterprise from historical qualification audit data stored in a database according to the name of the organization or enterprise; wherein the historical performance assessment average score PL represents an average of performance assessment scores made on the project completion results of the enterprise in past projects that have been affiliated with the organization or enterprise;
calculating a construction evaluation coefficient PS of a corresponding applicant for a corresponding construction project in the current auditing time; the formula is as follows:
wherein a1, a2, a3 and a4 are preset proportionality coefficients of the registration duration of an organization or an enterprise, the number of technicians conforming to qualification specifications, the historical bid-winning rate and the historical performance evaluation average score respectively; and a4 > a3 > a1 > a2 > 0; a1+a2+a3+a4=1;
comparing the construction evaluation coefficient PS obtained by calculation with a preset first construction evaluation coefficient threshold PS1 and a preset second construction evaluation coefficient threshold PS2 respectively, and judging the construction prediction rating of the corresponding applicant in the corresponding construction project;
if PS is less than PS1, the construction prediction rating of the corresponding applicant in the corresponding construction project is not qualified;
if PS1 is less than or equal to PS and less than PS, the construction prediction rating of the corresponding applicant in the corresponding construction project is good;
if PS is more than or equal to PS2, the construction prediction rating of the corresponding applicant in the corresponding construction project is excellent;
and sending the construction prediction ratings of the corresponding applicant in the corresponding construction project to the database to be associated with the corresponding keyword association data set.
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