CN111552700B - Intelligent auditing system for dynamically auditing electric power system project - Google Patents
Intelligent auditing system for dynamically auditing electric power system project Download PDFInfo
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Abstract
The invention discloses an intelligent audit platform for dynamically auditing the project construction process of an electric power system, which comprises a client, an integrated display system, a database server and an application server, wherein the client is connected with the integrated display system; the client comprises a website portal, a large-screen visual display module and a mobile phone APP; the application server realizes an intelligent auditing function and comprises an early warning deviation rectifying module, a process auditing module, a simulation auditing module, an auxiliary decision module and an intelligent pushing module. The invention realizes the auditing function on the aspects of progress, safety and quality of various project projects, improves the management level, prevents and controls risks, saves investment and realizes the auxiliary support of the decision of the capital construction business; meanwhile, the intelligent auditing system can save auditing resources, improve auditing quality and efficiency and improve auditing means informatization level.
Description
Technical Field
The invention relates to an intelligent auditing platform, in particular to an intelligent auditing system for dynamically auditing projects of an electric power system.
Background
The current investment audit work mainly depends on an ERP system, a PMIS system, a planning system, an ERP service audit system and the like to carry out audit work, the query efficiency is low, the comparison and analysis function is weak, only the audit of the subsequent result is realized, and the functions of intelligent risk identification, analysis, early warning and the like are not realized.
The existing project audit function points mainly rely on an ERP audit system deployed in two levels, the data update progress of the system is slow, the implementation effect of part of function points is poor, and the query efficiency of the function points is low. Under the conditions of large quantity of projects and long time, the auditing function has the problems of non-visual abstraction, low query efficiency, weak comparison and analysis and the like, and has limited effect on centralized large-scale project management in a short working period. In addition, the human-computer interface of the system is not friendly, audiences are too narrow, only the audit of the results after the fact is realized, the functions of risk intelligent identification, analysis, early warning, pushing and the like cannot be realized, the field visualization requirement cannot be met, and the project construction requirement cannot be matched.
Disclosure of Invention
In order to solve the technical problems, the invention provides the intelligent auditing system for dynamically auditing the electric power system project, which realizes the auditing function on the aspects of progress, safety and quality of various projects, improves the management level, prevents and controls risks and saves investment.
The invention adopts the following technical scheme:
an intelligent auditing system for dynamically auditing projects of an electric power system comprises a client, a comprehensive display system, a database server and an application server;
the client comprises a website portal, a large-screen visual display module and a mobile phone APP;
the application server realizes an intelligent audit function and comprises an early warning deviation rectifying module, a process audit module, a simulation audit module, an auxiliary decision module and an intelligent pushing module;
the early warning and deviation rectifying module comprises a design audit early warning and deviation rectifying module, a supervision audit early warning and deviation rectifying module, a construction audit early warning and deviation rectifying module and a supplier audit early warning and deviation rectifying module, the early warning and deviation rectifying module carries out early warning and deviation rectifying on the early stage of a power grid construction project, material tendering and bidding, project construction and settlement calculation, management problems are identified through automatic evaluation and manual analysis of the system, follow-up audit risks are revealed, and the follow-up audit risks are pushed to a related system and a related mobile phone app in a risk prompt form; the related responsible persons judge whether the risk event forms an audit problem one by one, provide correction measures and push the correction measures to the intelligent audit system, and audit staff track the execution conditions of the correction measures;
the process auditing module comprises an item establishing management auditing module, a design management auditing module, a supervision management auditing module, a construction management auditing module, a participating unit management auditing module, a settlement management auditing module and a settlement management auditing module, and manages auditing results by taking unit projects of projects as objects;
the process auditing module performs tracking auditing on the early stage of a power grid construction project, material tendering and bidding, project construction, settlement calculation and the like, forms an auditing problem through automatic identification and manual analysis of the system, and pushes the auditing problem to a relevant system and apps of the relevant system in an adjustment and modification supervising form; the related responsible person immediately checks and immediately modifies according to the modification procedure, and pushes the modification data to the intelligent auditing system, and the auditor finishes modification and cancellation after auditing; compiling an audit report according to the audit problem and the result of the audit in the project process after the project is finished;
the simulation audit module utilizes a risk library and suggestions for auditing common problems all the year round to classify historical data according to project types, voltage levels, project characteristics, investment amounts, fund sources, project regions, construction time and the like, sets a threshold value according to problem and risk occurrence frequencies, and automatically pushes a simulation audit report formed by auditing problems, risks and suggestions to a related management layer by the system;
the auxiliary decision module comprises an audit project comprehensive analysis module and an audit robot module;
the audit project comprehensive analysis module comprises an audit condition analysis module, a risk level analysis module, a deviation correction condition analysis module and a rectification condition analysis module;
the auditing robot module searches keywords and automatically displays auditing risks related to the keywords;
the intelligent pushing module pushes the problems with high risk level and frequent risk to key post management personnel by utilizing big data analysis, confirms partial risk frequent post and actively pushes related management suggestions; classifying the identified risks according to risk levels through a mobile phone APP client, and pushing the risks to related personnel; uploading the on-site investigation photo to an auditing system for backup and retention by an on-site auditor through a mobile phone APP;
the database server is provided with an audit knowledge base, and the audit knowledge base consists of a basic database, an engineering archive, a legal and legal regulation base and an audit case base;
the comprehensive display system is combined with audit aid decision, early warning deviation correction, simulation audit, audit operation, rectification effect and audit knowledge base content to perform panoramic display.
Further, the service operation flow of the early warning deviation rectifying module comprises the following steps:
step 1.1, after a project of a power grid digital engineering management platform (EIM platform) is established, pushing project characteristic information and progress information to the early warning deviation rectifying module; the project characteristic information comprises project names, codes, types and voltage levels;
step 1.2, the early warning correction module creates a project according to the project characteristic information, and displays project progress, management problems and audit risks;
step 1.3, realizing management problem collection by a manual problem identification real-time input mode or a problem real-time pushing mode in an EIM platform evaluation module;
step 1.4, revealing subsequent risks, analyzing quantitative results and forming a risk management ledger;
step 1.5, pushing the risk information to an EIM platform or a mobile phone APP platform in real time in a risk prompt form;
step 1.6, service management personnel judge whether a problem is formed; if a problem is formed, providing a deviation rectifying measure; if no problem is formed, the reason is explained; the data are fed back to the early warning deviation rectifying module in a risk feedback list mode;
step 1.7, measures or reasons in the risk feedback list are obtained;
step 1.8, performing spot check on the judgment result in the risk feedback list, returning to step 1.5 if the judgment result is unreasonable, and performing the next step if the judgment result is reasonable;
step 1.9, tracking the execution condition of the deviation correction measures in a manual mode;
and step 1.10, recording the risk management standing book in real time, and updating the risk management standing book to a basic database in real time.
Further, the service operation flow steps of the process auditing module are as follows:
step 2.1, after a project of a power grid digital engineering management platform (EIM platform) is established, pushing project characteristic information and progress information to the process auditing module; the project characteristic information comprises project names, codes, types and voltage levels;
2.2 the process auditing module creates a project according to the project characteristic information and displays the project progress, the auditing problem and the rectification condition;
step 2.3, comparing the data by using the data pushed by the EIM platform in real time according to a data rule;
step 2.4, forming an audit problem by manually identifying a problem real-time input mode, and recording the audit problem until the problem is corrected into a ledger;
step 2.5, the problem correction ledger information is pushed to an EIM platform or a mobile phone APP platform in real time in the form of a correction supervision list;
step 2.6, the EIM platform or the mobile phone APP platform feeds back the rectification data to the process auditing module in a rectification feedback form;
2.7, the process auditing module audits whether the rectification feedback list is reasonable, if not, the step 2.5 is returned, and if so, the next step is carried out;
step 2.8, rectifying the sales number, and recording the sales number in real time to a problem rectifying machine account;
and 2.9 issuing an audit report and a management proposal after the project is completed, and updating a problem correction ledger and a management proposal to the basic database.
Further, the basic database comprises problem classification, audit problem qualification, audit problem description, risk level, problem coding, problem judgment, audit problem data source, audit problem data acquisition path, management problem, loss and consequence quantitative analysis, reason analysis, management suggestion, deviation correction measure, engineering related, project coding, system basis, audit case and risk frequency.
Further, the project archive library comprises project names, project codes, project types, voltage levels, audit problem qualifications, audit problem descriptions, start-up time, completion time, audit amount, audit rate, construction and management units, design units, supervision units and construction units.
Further, the law and regulation library comprises national laws and regulations and company regulations.
Furthermore, the audit case base comprises audit event description, audit methods, system bases, reason analysis and management suggestions of audit cases summarized in all years.
Furthermore, the system architecture of the intelligent auditing system comprises a data layer, a public service layer, an application layer and a presentation layer;
the data layer is an integrated state network full-service unified data center, a basic data layer and a data marketing layer in the data layer open all data inquiry and access authorities to a smart auditing system, an independent auditing service library is constructed in the data layer and used for storing externally imported service data and data generated by auditing work, and an auditing service scene is constructed by utilizing a data analysis mining tool of the system based on the storage and calculation capacity of a big data platform;
the public service layer is a core function component layer of the intelligent auditing system, and comprises a data analysis mining tool, a report service (BI), an Instant Message (IM) and a total station retrieval (ES), wherein the data analysis mining tool is used for supporting an autonomous analysis tool and an auditing knowledge base of the intelligent auditing system and providing the capability of autonomously analyzing, exploring and auditing rules for a user;
the application layer comprises two major functional domains of audit management and audit operation;
the display layer is realized by adopting an html5 technology;
the integration layer and the full-service unified data center are integrated to form a data set.
The invention has the beneficial effects that:
the invention changes the traditional audit mode, establishes the whole-process tracking intelligent audit system, realizes the audit function on the aspects of progress, safety and quality of various project projects, improves the management level, prevents and controls risks, saves investment and realizes the auxiliary support of the decision of the capital construction business; meanwhile, the intelligent auditing system can save auditing resources, improve auditing quality and efficiency and improve auditing means informatization level.
Drawings
FIG. 1 is a block diagram of the intelligent audit system of the present invention;
FIG. 2 is a flow chart of the operation of the early warning deviation correction module;
FIG. 3 is a process audit module operational flow diagram;
FIG. 4 is a diagram of the intelligent audit system architecture of the present invention.
Detailed Description
The invention is further illustrated by the following figures and examples.
Fig. 1 is a block diagram of the intelligent auditing system of the present invention.
An intelligent auditing system for dynamically auditing projects of an electric power system comprises a client, a comprehensive display system, a database server (not shown) and an application server (not shown);
the client comprises a website portal, a large-screen visual display module and a mobile phone APP;
the application server realizes an intelligent audit function and comprises an early warning deviation rectifying module, a process audit module, a simulation audit module, an auxiliary decision module and an intelligent pushing module;
the early warning and deviation rectifying module comprises a design audit early warning and deviation rectifying module, a supervision audit early warning and deviation rectifying module, a construction audit early warning and deviation rectifying module and a supplier audit early warning and deviation rectifying module, the early warning and deviation rectifying module carries out early warning and deviation rectifying on the early stage of a power grid construction project, material tendering and bidding, project construction and settlement calculation, management problems are identified through automatic evaluation and manual analysis of the system, follow-up audit risks are revealed, and the follow-up audit risks are pushed to a related system and a related mobile phone app in a risk prompt form; and the related responsible persons judge whether the risk event forms an audit problem one by one, provide the correction measures and push the correction measures to the intelligent audit system, and audit staff track the execution conditions of the correction measures.
And the evaluation management auditing module is used for auditing and reevaluating the EIM platform evaluation result (score). The method comprises the steps of setting a certain threshold value, determining whether the audit problem is caused according to the evaluation value, and reminding related responsible persons about audit risks possibly existing in the subsequent construction stage. And after early warning, the effectiveness of measures taken for the project audit risk and the rectification and modification of the formed problems form closed-loop management.
And (4) auditing and re-evaluating the EIM platform evaluation result (score) by the evaluation management, setting a certain threshold value, determining whether the EIM platform evaluation result is an audit problem according to the evaluation score, and displaying the evaluation result.
The process auditing module comprises an item establishing management auditing module, a design management auditing module, a supervision management auditing module, a construction management auditing module, a participating unit management auditing module, a settlement management auditing module and a settlement management auditing module, and manages the auditing result by taking the unit project of the project as an object.
The process auditing module performs tracking auditing on the early stage of a power grid construction project, material tendering and bidding, project construction, settlement calculation and the like, forms an auditing problem through automatic identification and manual analysis of the system, and pushes the auditing problem to a relevant system and apps of the relevant system in an adjustment and modification supervising form; the related responsible person immediately checks and immediately modifies according to the modification procedure, and pushes the modification data to the intelligent auditing system, and the auditor finishes modification and cancellation after auditing; and (5) compiling an audit report according to the audit problems and the final audit results in the project process after the project is finished.
The simulation audit module utilizes a risk library and suggestions for auditing common problems all the year round to classify historical data according to project types, voltage levels, project characteristics, investment amounts, fund sources, project regions, construction time and the like, sets a threshold value according to problem and risk occurrence frequencies, and automatically pushes a simulation audit report formed by auditing problems, risks and suggestions to a related management layer by the system; and extracting relevant data from the basic database according to the selection condition to form a simulated audit report.
The auxiliary decision-making module comprises an audit project comprehensive analysis module and an audit robot module.
The audit project comprehensive analysis module realizes the following functions:
the first is audit situation analysis. Presenting the overall situation by time and item type: the method comprises the steps of project number, audit report number, risk prompt number, problem discovery number, historical audit deduction amount and audit deduction rate.
Second is risk level analysis. And (4) carrying out statistical analysis on the problems and risks discovered by audit in the past year. Presenting risk frequency and trend distribution according to conditions such as time, project type, voltage level, participating units and the like; and displaying the risk content, the number and the details according to the risk level.
Thirdly, deviation rectifying condition analysis. And (4) presenting deviation rectifying effect and detail according to time and project types, wherein the deviation rectifying effect and detail comprise the number of revealing risks, the number of deviation rectifying results (the number of audit problems judged by a service department), the number of successful deviation rectifying results (the audit reports do not comprise the problems), and the deviation rectifying rate (the number of successful deviation rectifying/the number of deviation rectifying results).
And fourthly, rectifying and modifying condition analysis. And presenting the level and the details of the rectification according to time and item types, including the number of rectified, the number of unconfined, the number of overdue, the rectification proportion and the like.
And searching the keywords by using the auditing robot module, and automatically displaying auditing risks related to the keywords. The auditing robot needs to establish a multidimensional module knowledge base and a basic database (including an auditing risk base, a legal system base and an auditing case base), establish mutual correlation relations among one-to-one, one-to-many, many-to-one and many-to-many, provide multidimensional correlation inquiry of risk points, the legal system and auditing cases, provide self-selection of audience groups and dynamically update and maintain the contents of the knowledge base.
The intelligent pushing module pushes the problems with high risk level and frequent risk to key post management personnel by utilizing big data analysis, confirms partial risk frequent post and actively pushes related management suggestions; classifying the identified risks according to risk levels through a mobile phone APP client, and pushing the risks to related personnel; and uploading the on-site investigation picture to an auditing system for backup and retention by the on-site auditor through the mobile phone APP.
The database server is provided with an audit knowledge base, and the audit knowledge base is composed of a basic database, an engineering archive, a legal and legal regulation base and an audit case base.
The comprehensive display system is combined with audit aid decision, early warning deviation correction, simulation audit, audit operation, rectification effect and audit knowledge base content to perform panoramic display.
The basic database comprises problem classification, audit problem qualification, audit problem description, risk level, problem coding, problem judgment, audit problem data source, audit problem data acquisition path, management problem, loss and consequence quantitative analysis, reason analysis, management suggestion, deviation correction measure, engineering, project coding, system basis, audit case and risk frequency. The project archive comprises project names, project codes, project types, voltage levels, audit problem qualifications, audit problem descriptions, start-up time, completion time, audit amount, audit rate, construction and management units, design units, supervision units and construction units. The law and regulation library comprises national laws and regulations and company regulations. The audit case base comprises audit event description, audit methods, system bases, reason analysis and management suggestions of audit cases summarized in all years.
One-to-one, one-to-many, many-to-one and many-to-many mutual association relations are established among various information points of the information bases, multi-dimensional association inquiry is achieved, and basic data are provided for modules of early warning correction, process audit, simulation audit, auxiliary decision making, intelligent online and the like of the intelligent audit system. Meanwhile, data formed by each module in the service operation process are iteratively updated to the audit knowledge base, so that timely, accurate and complete information in the base is ensured.
As shown in fig. 2, the service operation flow of the early warning deviation rectifying module includes the following steps:
step 1.1, after a project of a power grid digital engineering management platform (EIM platform) is established, pushing project characteristic information and progress information to the early warning deviation rectifying module; the project characteristic information comprises project names, codes, types and voltage levels;
step 1.2, the early warning correction module creates a project according to the project characteristic information, and displays project progress, management problems and audit risks;
step 1.3, realizing management problem collection by a manual problem identification real-time input mode or a problem real-time pushing mode in an EIM platform evaluation module;
step 1.4, revealing subsequent risks, analyzing quantitative results and forming a risk management ledger;
step 1.5, pushing the risk information to an EIM platform or a mobile phone APP platform in real time in a risk prompt form;
step 1.6, service management personnel judge whether a problem is formed; if a problem is formed, providing a deviation rectifying measure; if no problem is formed, the reason is explained; the data are fed back to the early warning deviation rectifying module in a risk feedback list mode;
step 1.7, measures or reasons in the risk feedback list are obtained;
step 1.8, performing spot check on the judgment result in the risk feedback list, returning to step 1.5 if the judgment result is unreasonable, and performing the next step if the judgment result is reasonable;
step 1.9, tracking the execution condition of the deviation correction measures in a manual mode;
and step 1.10, recording the risk management standing book in real time, and updating the risk management standing book to a basic database in real time.
As shown in fig. 3, the steps of the service operation flow of the process audit module are as follows:
step 2.1, after a project of a power grid digital engineering management platform (EIM platform) is established, pushing project characteristic information and progress information to the process auditing module; the project characteristic information comprises project names, codes, types and voltage levels;
2.2 the process auditing module creates a project according to the project characteristic information and displays the project progress, the auditing problem and the rectification condition;
step 2.3, comparing the data by using the data pushed by the EIM platform in real time according to a data rule;
step 2.4, forming an audit problem by manually identifying a problem real-time input mode, and recording the audit problem until the problem is corrected into a ledger;
step 2.5, the problem correction ledger information is pushed to an EIM platform or a mobile phone APP platform in real time in the form of a correction supervision list;
step 2.6, the EIM platform or the mobile phone APP platform feeds back the rectification data to the process auditing module in a rectification feedback form;
2.7, the process auditing module audits whether the rectification feedback list is reasonable, if not, the step 2.5 is returned, and if so, the next step is carried out;
step 2.8, rectifying the sales number, and recording the sales number in real time to a problem rectifying machine account;
and 2.9 issuing an audit report and a management proposal after the project is completed, and updating a problem correction ledger and a management proposal to the basic database.
As shown in fig. 4, the system architecture of the intelligent auditing system includes a data layer, a public service layer, an application layer and a presentation layer;
the data layer is an integrated state network full-service unified data center, a basic data layer and a data marketing layer in the data layer open all data inquiry and access authorities to a smart auditing system, an independent auditing service library is constructed in the data layer and used for storing externally imported service data and data generated by auditing work, and an auditing service scene is constructed by utilizing a data analysis mining tool of the system based on the storage and calculation capacity of a big data platform;
the public service layer is a core function component layer of the intelligent auditing system, and comprises a data analysis mining tool, a report service (BI), an Instant Message (IM) and a total station retrieval (ES), wherein the data analysis mining tool is used for supporting an autonomous analysis tool and an auditing knowledge base of the intelligent auditing system and providing the capability of autonomously analyzing, exploring and auditing rules for a user;
the application layer comprises two major functional domains of audit management and audit operation;
the display layer is realized by adopting an html5 technology;
the integration layer and the full-service unified data center are integrated to form a data set.
The intelligent auditing system for dynamically auditing the project construction process of the power system has good performance and high reliability. The main performance indexes are as follows:
(1) transaction class response
The fast response class: response time is less than or equal to 3 seconds
The general response class: response time is less than or equal to 10 seconds
Batch processing: response time is less than or equal to 3 minutes
(2) Query class response
Simple query class: response time is less than or equal to 3 seconds (such as simple condition query)
And (3) comprehensive query class: response time is less than or equal to 6 seconds (for example: complex condition query)
(3) Statistical class response
Simple statistics class: response time is less than or equal to 2 seconds
Complex statistical classes: response time is less than or equal to 10 seconds
(4) Automatic task class response
The flow chart generation time (the time from the flow data acquisition to the flow chart display) is less than or equal to 5 seconds
The processing time of the workflow of the workbench (the time from the sending of the workflow task to the execution of the workflow to the next node) is less than or equal to 5 seconds
(5) System class response
The response time of 90 percent of interface switching is less than or equal to 3s, and the rest is less than or equal to 5 s;
the system supports more than 10 business processing interfaces which are opened simultaneously.
The above description is only exemplary of the present invention and should not be taken as limiting, and any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An intelligent auditing system for dynamically auditing projects of an electric power system comprises a client, a comprehensive display system, a database server and an application server;
the client comprises a website portal, a large-screen visual display module and a mobile phone APP;
the application server realizes an intelligent audit function and comprises an early warning deviation rectifying module, a process audit module, a simulation audit module, an auxiliary decision module and an intelligent pushing module;
the early warning and deviation rectifying module comprises a design audit early warning and deviation rectifying module, a supervision audit early warning and deviation rectifying module, a construction audit early warning and deviation rectifying module and a supplier audit early warning and deviation rectifying module, the early warning and deviation rectifying module carries out early warning and deviation rectifying on the early stage of a power grid construction project, material tendering and bidding, project construction and settlement calculation, management problems are identified through automatic evaluation and manual analysis of the system, follow-up audit risks are revealed, and the follow-up audit risks are pushed to a related system and a related mobile phone app in a risk prompt form; the related responsible persons judge whether the risk event forms an audit problem one by one, provide correction measures and push the correction measures to the intelligent audit system, and audit staff track the execution conditions of the correction measures;
the process auditing module comprises an item establishing management auditing module, a design management auditing module, a supervision management auditing module, a construction management auditing module, a participating unit management auditing module, a settlement management auditing module and a settlement management auditing module, and manages auditing results by taking unit projects of projects as objects;
the process auditing module performs tracking auditing on the early stage of a power grid construction project, material tendering and bidding, project construction and settlement calculation, forms an auditing problem through automatic identification and manual analysis of the system, and pushes the auditing problem to a relevant system and apps of the relevant system in an adjustment and modification supervising order form; the related responsible person immediately checks and immediately modifies according to the modification procedure, and pushes the modification data to the intelligent auditing system, and the auditor finishes modification and cancellation after auditing; compiling an audit report according to the audit problem and the result of the audit in the project process after the project is finished;
the simulation audit module utilizes a risk library and suggestions for auditing common problems all the year round to classify historical data according to project types, voltage levels, project characteristics, investment amounts, fund sources, project regions and construction time, thresholds are set according to problem and risk occurrence frequencies, and a system automatically pushes simulation audit reports formed by audit problems, risks and suggestions to a related management layer;
the auxiliary decision module comprises an audit project comprehensive analysis module and an audit robot module;
the audit project comprehensive analysis module comprises an audit condition analysis module, a risk level analysis module, a deviation correction condition analysis module and a rectification condition analysis module;
the auditing robot module searches keywords and automatically displays auditing risks related to the keywords;
the intelligent pushing module pushes the problems with high risk level and frequent risk to key post management personnel by utilizing big data analysis, confirms partial risk frequent post and actively pushes related management suggestions; classifying the identified risks according to risk levels through a mobile phone APP client, and pushing the risks to related personnel; uploading the on-site investigation photo to an auditing system for backup and retention by an on-site auditor through a mobile phone APP;
the database server is provided with an audit knowledge base, and the audit knowledge base consists of a basic database, an engineering archive, a legal and legal regulation base and an audit case base;
the comprehensive display system is combined with audit aid decision, early warning deviation correction, simulation audit, audit operation, rectification effect and audit knowledge base content to perform panoramic display.
2. The intelligent auditing system for dynamically auditing project of electric power system according to claim 1, the service operation flow steps of the early warning deviation rectifying module are as follows:
step 1.1, after a project of a power grid digital engineering management platform is created, pushing project characteristic information and progress information to the early warning deviation rectifying module; the project characteristic information comprises project names, codes, types and voltage levels;
step 1.2, the early warning correction module creates a project according to the project characteristic information, and displays project progress, management problems and audit risks;
step 1.3, realizing management problem collection in a mode of manually identifying real-time problem input or a mode of pushing problems in an evaluation module of a power grid digital engineering management platform in real time;
step 1.4, revealing subsequent risks, analyzing quantitative results and forming a risk management ledger;
step 1.5, pushing the risk information to a power grid digital engineering management platform or a mobile phone APP platform in real time in a risk prompt form;
step 1.6, service management personnel judge whether a problem is formed; if a problem is formed, providing a deviation rectifying measure; if no problem is formed, the reason is explained; the data are fed back to the early warning deviation rectifying module in a risk feedback list mode;
step 1.7, measures or reasons in the risk feedback list are obtained;
step 1.8, performing spot check on the judgment result in the risk feedback list, returning to step 1.5 if the judgment result is unreasonable, and performing the next step if the judgment result is reasonable;
step 1.9, tracking the execution condition of the deviation correction measures in a manual mode;
and step 1.10, recording the risk management standing book in real time, and updating the risk management standing book to a basic database in real time.
3. The intelligent auditing system of claim 1 for dynamically auditing a power system project, the process auditing module having business process flow steps as follows:
step 2.1, after the project of the power grid digital engineering management platform is created, pushing project characteristic information and progress information to the process auditing module; the project characteristic information comprises project names, codes, types and voltage levels;
2.2 the process auditing module creates a project according to the project characteristic information and displays the project progress, the auditing problem and the rectification condition;
step 2.3, comparing the data by using the data pushed by the power grid digital engineering management platform in real time according to data rules;
step 2.4, forming an audit problem by manually identifying a problem real-time input mode, and recording the audit problem until the problem is corrected into a ledger;
step 2.5, the problem correction ledger information is pushed to a power grid digital engineering management platform or a mobile phone APP platform in real time in the form of a correction supervision order;
step 2.6, the power grid digital engineering management platform or the mobile phone APP platform feeds back the rectification data to the process audit module in a rectification feedback form;
2.7, the process auditing module audits whether the rectification feedback list is reasonable, if not, the step 2.5 is returned, and if so, the next step is carried out;
step 2.8, rectifying the sales number, and recording the sales number in real time to a problem rectifying machine account;
and 2.9 issuing an audit report and a management proposal after the project is completed, and updating a problem correction ledger and a management proposal to the basic database.
4. The intelligent audit system for dynamically auditing electric power system projects of claim 1 where in the base database includes problem classification, audit problem qualification, audit problem description, risk rating, problem coding, problem determination, audit problem data source, audit problem data acquisition path, administrative problem, loss and consequence quantitative analysis, cause analysis, administrative advice, corrective action, engineering involved, project coding, regulatory basis, audit case, and risk frequency.
5. The intelligent audit system for dynamically auditing electric power system projects according to claim 1 where in the project archive includes project name, project code, project type, voltage class, audit problem qualification, audit problem description, start time, completion time, audit de-rating, rate of de-rating, unit of construction and administration, unit of design, unit of supervision and construction.
6. A smart audit system for dynamically auditing an electrical power system project according to claim 1 including national laws and regulations and corporate regulations in the laws and regulations library.
7. The intelligent auditing system for dynamically auditing electric power system projects of claim 1 in which the audit case base includes audit event descriptions, audit methods, institutional bases, cause analysis, management recommendations for audit cases summarized over the years.
8. An intelligent auditing system for dynamically auditing a power system project according to any one of claims 1-7 whose system architecture includes a data layer, a common services layer, an application layer and a presentation layer;
the data layer is an integrated state network full-service unified data center, a basic data layer and a data marketing layer in the data layer open all data inquiry and access authorities to a smart auditing system, an independent auditing service library is constructed in the data layer and used for storing externally imported service data and data generated by auditing work, and an auditing service scene is constructed by utilizing a data analysis mining tool of the system based on the storage and calculation capacity of a big data platform;
the public service layer is a core functional component layer of the intelligent auditing system, and comprises a data analysis mining tool, a report service, instant messages and a total station retrieval, wherein the data analysis mining tool is used for supporting an intelligent auditing system autonomous analysis tool and an auditing knowledge base and providing the capability of autonomously analyzing, exploring and auditing rules for users;
the application layer comprises two major functional domains of audit management and audit operation;
the display layer is realized by adopting an html5 technology;
the integration layer and the full-service unified data center are integrated to form a data set.
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