Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a post-overhaul project evaluation and self-check auditing method, which comprises the steps of automatically extracting evaluation dimensional data from each business system according to a knowledge map, extracting project plan data and project actual data through the evaluation dimensional data, comparing the project plan data and the project actual data, solving the problems of low data analysis speed, untimely problem discovery, large interference of human factors and the like caused by the prior art, and improving the accuracy and timeliness of auditing and self-checking.
The technical scheme of the invention is as follows:
on one hand, the invention provides a post-evaluation and self-checking auditing method for a technical modification major repair project, which comprises the following steps:
establishing a knowledge graph of the technical overhaul project based on the relation between the technical overhaul project and each data of the power grid internal service system;
acquiring corresponding service data from each service system based on the knowledge graph of the technical improvement and major repair project;
extracting evaluation dimensional data from corresponding service data, wherein the evaluation dimensional data comprises project time dimensional data, project amount dimensional data, project material dimensional data and project change dimensional data;
and comparing project plan data with project actual data according to the evaluation dimension data, performing deviation analysis, and performing post-project evaluation and self-checking audit according to an analysis result.
In the step of extracting the review dimension data from the corresponding service data, the unstructured text service data is identified by an OCR character recognition technology and converted into a standard and structured text data format;
establishing a professional lexicon and a key field query strategy according to the characteristics of the data to be evaluated, and extracting each item of evaluation dimension data from the analyzed standard and structured text data format
As a preferred embodiment, the project time dimension data includes planned start time, planned completion time, actual start time, actual completion time, work order time, and commissioning time;
the item amount dimension data comprises item estimated amount, item approximate amount and item final amount;
the item material dimension data comprises an item material list, material consumption data and material unit price;
the project change dimension data comprises project visa data and design change sheet data.
In a preferred embodiment, the analysis results are displayed by a visual graphical technique when the deviation analysis is performed.
In another aspect, the present invention provides a post-overhaul project evaluation and self-inspection auditing apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the program to implement the post-overhaul project evaluation and self-inspection auditing method according to any embodiment of the present invention.
In yet another aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a post-overhaul assessment and self-audit method according to any of the embodiments of the present invention.
The invention has the following beneficial effects:
1. according to the method, evaluation dimensional data are automatically extracted from each business system according to a knowledge map, project plan data and project actual data are extracted through the evaluation dimensional data and compared, the problems of low data analysis speed, untimely problem finding, large interference of human factors and the like caused by the prior art are solved, and the accuracy and timeliness of audit self-check are improved.
2. The invention relates to a post-evaluation and self-checking auditing method for a technical improvement overhaul project, which automatically extracts key information in service data through an OCR (optical character recognition) technology and ensures quick and effective access to unstructured data.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
The first embodiment is as follows:
referring to fig. 1, the embodiment provides a method for evaluating and self-checking and auditing after a technical modification major repair project, which includes the following steps:
establishing a knowledge graph of the technical overhaul project based on the relation between the technical overhaul project and each data of the power grid internal service system; through a knowledge graph technology, connection is established among scattered and isolated data, reasoning is carried out based on data relevance, and the capability of finding and solving problems is improved;
acquiring corresponding service data from service systems such as a device asset operation and maintenance Proficiency Management System (PMS), an enterprise resource planning management system (ERP), an Electronic Commerce Platform (ECP) and the like based on the knowledge graph of the technical improvement and overhaul project;
extracting evaluation dimensional data from corresponding service data, wherein the evaluation dimensional data comprises project time dimensional data, project amount dimensional data, project material dimensional data and project change dimensional data;
and comparing project plan data with project actual data according to the evaluation dimension data, performing deviation analysis, and performing post-project evaluation and self-checking audit according to an analysis result.
According to the embodiment, the review dimension data are automatically extracted from all the business systems according to the knowledge map, the project plan data and the project actual data are extracted through the review dimension data and compared, the problems of low data analysis speed, untimely problem finding, large interference of human factors and the like caused by the prior art are solved, and the accuracy and timeliness of audit self-checking are improved.
As a preferred embodiment of this embodiment, in the step of extracting review dimension data from corresponding business data, specifically, unstructured business data is identified by OCR character recognition technology, descriptive information in documents in PDF, Word, Rtf, XML, HTML, and other formats, such as document title, author, main content, and the like, is extracted, and converted into a standard, structured text data format;
and establishing a professional lexicon and a key field query strategy according to the characteristics of the data to be evaluated, and extracting each item of evaluation dimensional data from the analyzed standard and structured text data format. By means of the ORC text recognition technology, key information in unstructured service data can be effectively converted into standard and structured text information through a series of modes of self-building of a professional lexicon, part of speech analysis, similarity matching and the like. The accuracy is high.
As a preferred embodiment of this embodiment, when unstructured business data is converted into text data, the text data is processed through a semantic recognition model based on Natural Language Processing (NLP), non-standardized text information in the text data is converted into standardized text information, and data such as node implementation progress, equipment material inventory, WBS, work content, and the like of a historical technological improvement overhaul project are extracted; many business data are sourced from the PMS, which is an accumulation of actual work, contains a large portion of text (such as work tickets, operation tickets, etc. filled in by field personnel), and is not uniform, ambiguous, and not detailed. Standardized information is extracted from the texts through a semantic recognition technology, so that data sources are expanded, and statistics and expansion are facilitated.
As a preferred embodiment of this embodiment, the project time dimension data includes planned start time, planned completion time, actual start time, actual completion time, work order start time, and commissioning time;
the item amount dimension data comprises item estimated amount, item approximate amount and item final amount;
the item material dimension data comprises an item material list, material consumption data and material unit price;
the project change dimension data comprises project visa data and design change sheet data.
Comparing the project plan with the project reality from the project time, the project amount, the project materials and the project change, carrying out deviation analysis, generating a potential problem list, early warning in time and correcting the potential project completion authenticity problem in time.
As a preferred embodiment of this embodiment, in the case of performing the deviation analysis, the analysis result is displayed by using a visual graphic technology, a visual graphic page is designed, and the context of the data is visually displayed by using various means such as graphics, tables, and the like, by using various means such as drilling down and scrolling up, and the precursor consequence of the difference is analyzed.
Example two:
the embodiment provides a post-overhaul project evaluation and self-inspection auditing device for an overhaul project, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and is characterized in that when the processor executes the program, the post-overhaul project evaluation and self-inspection auditing method for the overhaul project is realized.
Example three:
the present embodiment provides a computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements a post-overhaul evaluation and self-audit method according to any embodiment of the present invention.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.