CN116485336B - Management method, management system and electronic equipment for one-page display work whole process - Google Patents
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Abstract
The invention discloses a management method, a management system and electronic equipment for a whole page display work flow, wherein the method comprises the following steps: acquiring file data of each engineering project flow module; identifying file attributes of each file data based on a semantic identification algorithm, and extracting corresponding attribute keywords; verifying attribute keywords of each file data one by one according to a preset file data list; if part of verification passes, selecting and highlighting file data of which the attribute keywords cannot be matched with a preset file data list, and generating a first abnormal prompt list; if all the verification passes, scanning the document content of each document data by a cloud-based document scanning algorithm to judge whether the document data is a revised manuscript; selecting and highlighting file data of the revised manuscript to generate a second abnormal prompting list; feeding back the first or second abnormality prompt list to the terminal; and displaying the first or second abnormal prompt list, and displaying the current flow progress of each engineering project flow module.
Description
Technical Field
The invention relates to the technical field of digital information, in particular to a management method, a management system and electronic equipment for a whole flow of a page display work.
Background
The existing project management process is to determine a corresponding project management plan for a project party on project management software, and after approval, compile file data (mainly including file data of an administrative planning process module, a purchasing planning process module, a business planning process module, a human resource planning process module, a project planning process module, a financial process module and the like) of a corresponding project process module, and then issue the file data on the project management software for corresponding end users to review and approval.
In the process, a large amount of file data is required to be checked on engineering project management software, and an inspector needs to spend a large amount of time to confirm whether the engineering file data of each engineering project flow module is complete. Therefore, in the engineering process, various file data confirmation processes are complicated, and the work efficiency is low.
Disclosure of Invention
The embodiment of the invention aims to provide a management method, an identification device and a computer readable storage medium for a one-page display work whole process, so as to solve the problems of complicated process of confirming various file data and low work efficiency in the engineering process.
In order to solve the above technical problems, an embodiment of the present invention provides a method for managing a whole process of a page display operation, including:
acquiring file data of each engineering project flow module;
identifying the file attribute of each file data based on a semantic identification algorithm, and extracting attribute keywords of each file data;
verifying attribute keywords of each file data one by one according to a preset file data list;
when the verification result is that part of verification passes, selecting and highlighting file data of which the attribute keywords cannot be matched with the preset file data list, and then generating a first abnormal prompt list;
when the verification result is that all the verification passes, scanning the document content of each file data based on the semantic recognition algorithm to judge whether the file data is a revised manuscript;
selecting and highlighting file data of the revised manuscript, and then generating a second abnormal prompting list;
and displaying the first abnormal prompt list or the second abnormal prompt list, and displaying the current flow progress of each engineering project flow module.
In a certain embodiment, the engineering project flow module comprises engineering data of an engineering business flow module, a financial flow module and a user flow module; the system comprises an engineering business process module, a financial process module and a user process module, wherein the engineering business process module is used for storing and managing corresponding engineering business data according to a preset business main line, the financial process module is used for storing and managing engineering financial data corresponding to the business main line, and the user process module is used for storing and managing engineering user data corresponding to the business main line;
the engineering business process module comprises a human resource process module, an administrative management process module, an operation management process module, a bid-bidding management process module, a cost management process module, a purchase management process module and an engineering management process module;
the human resource flow module comprises: personnel configuration planning flow module, recruitment management flow module, attendance management flow module, training planning flow module and training management flow module; the operation management flow module comprises: the system comprises an operation management flow module, an item master planning flow module, a certificate lock release management flow module, a customer return visit management flow module and the like; the engineering management flow module comprises: the system comprises an engineering planning flow module, a security management flow module, a quality management flow module, a progress management flow module, a technical management flow module and a data management flow module;
the financial flow module comprises: the system comprises a collection management flow module, a purchase payment management flow module, a team payment management flow module, a fee reimbursement management flow module and a borrowing management flow module;
the collection management flow module comprises a pre-check settlement billing management flow module, a quality insurance billing management flow module, a first party collection management flow module and a collection statistics flow module; the purchasing payment management flow module comprises: the system comprises a purchase payment application flow module, a purchase payment management flow module and a purchase payment statistics flow module.
In one embodiment, the identifying the file attribute of each file data based on the semantic identification algorithm and extracting the attribute key word of each file data includes:
extracting file names of each file data;
the semantic recognition algorithm is based on the identification of file names of each file data so as to identify file attributes of each file data;
and extracting attribute keywords of each file data.
In one embodiment, the scanning the document content of each of the file data based on the semantic recognition algorithm to determine whether the document of the file data is a revised manuscript includes:
scanning the document content of each file data one by one based on the semantic recognition algorithm;
judging whether the document of the file data has revising marks and/or color marks or not; wherein the revision trace includes one or more of a deletion trace, an addition trace, and a modification trace;
if yes, judging the file data as revised manuscripts.
In one embodiment, the file data that the highlight attribute keyword cannot be matched with the preset file data list includes:
file data which cannot be matched with the preset file data list based on the highlight attribute keywords in the first highlight form;
the file data of the highlight revision manuscript comprises:
highlighting file data of the revised manuscript based on the second highlighting form; wherein the first highlighting form is different from the second highlighting form.
Another embodiment of the present invention provides a dynamic early warning management system for engineering project flow, including:
the file data acquisition module is used for acquiring file data of each engineering project flow module;
the attribute keyword extraction flow module is used for extracting the attribute keywords of each file data based on the file attribute of each file data of the semantic recognition algorithm;
the verification flow module is used for verifying attribute keywords of each file data one by one according to a preset file data list;
the first abnormal prompting list generation flow module is used for selecting and highlighting file data of which the attribute keywords cannot be matched with the preset file data list when the verification result is that part of verification passes, and then generating a first abnormal prompting list;
the judging flow module is used for scanning the document content of each file data based on the semantic recognition algorithm when the verification result is that all verification passes so as to judge whether the file data is a revised manuscript or not;
the second abnormal prompting list generation flow module is used for selecting and highlighting the file data of the revised manuscript and then generating a second abnormal prompting list;
and the feedback display module is used for displaying the first abnormal prompt list or the second abnormal prompt list and displaying the current flow progress of each engineering project flow module.
In one embodiment, the attribute keyword extraction flow module is specifically configured to:
extracting file names of each file data;
the semantic recognition algorithm is based on the identification of file names of each file data so as to identify file attributes of each file data;
and extracting attribute keywords of each file data.
In one embodiment, the judging flow module is specifically configured to:
scanning the document content of each file data one by one based on the semantic recognition algorithm;
judging whether the document of the file data has revising marks and/or color marks or not; wherein the revision trace includes one or more of a deletion trace, an addition trace, and a modification trace;
if yes, judging the file data as revised manuscripts.
Still another embodiment of the present invention provides an electronic device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor implements a dynamic early warning management method for engineering project flows as described above.
Still another embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, and when the computer program runs, controls a device in which the computer readable storage medium is located to execute the dynamic early warning management method of the engineering project flow.
Compared with the prior art, the embodiment of the invention has the beneficial effects that at least one of the following points is adopted:
according to the management method of the whole process of one page of display work, firstly, file data of each project process module are obtained, then file attributes of each file data are extracted based on a semantic recognition algorithm, attribute keywords of each file data are extracted, and then the attribute keywords of each file data are verified one by one according to a preset file data list; meanwhile, the current flow progress of each engineering project flow module can be displayed in real time, so that a user can know the current flow progress in real time.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for managing a page display workflow in an embodiment of the invention;
FIG. 2 is a schematic diagram of a management system for displaying a workflow in a page according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device in an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.
In the description of the present invention, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", "a third", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In the description of the present invention, it should be noted that all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. The terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention, as the particular meaning of the terms described above in the present invention will be understood to those of ordinary skill in the art in the detailed description of the invention.
Referring to fig. 1, fig. 1 is a flow diagram of a method for managing a one-page display workflow in an embodiment of the present invention, in which the method for dynamically pre-warning and managing engineering project flows may include steps S110 to S170, and the steps are as follows:
s110: and acquiring file data of each engineering project flow module.
Specifically, the engineering project flow module comprises engineering data of an engineering business flow module, a financial flow module and a user flow module; the system comprises an engineering business process module, a financial process module and a user process module, wherein the engineering business process module is used for storing and managing corresponding engineering business data according to a preset business main line, the financial process module is used for storing and managing engineering financial data corresponding to the business main line, and the user process module is used for storing and managing engineering user data corresponding to the business main line;
the engineering business process module comprises a human resource process module, an administrative management process module, an operation management process module, a bid-bidding management process module, a cost management process module, a purchase management process module and an engineering management process module;
the human resource flow module comprises: personnel configuration planning flow module, recruitment management flow module, attendance management flow module, training planning flow module and training management flow module; the operation management flow module comprises: the system comprises an operation management flow module, an item master planning flow module, a certificate lock release management flow module, a customer return visit management flow module and the like; the engineering management flow module comprises: the system comprises an engineering planning flow module, a security management flow module, a quality management flow module, a progress management flow module, a technical management flow module and a data management flow module;
the financial flow module comprises: the system comprises a collection management flow module, a purchase payment management flow module, a team payment management flow module, a fee reimbursement management flow module and a borrowing management flow module;
the collection management flow module comprises a pre-check settlement billing management flow module, a quality insurance billing management flow module, a first party collection management flow module and a collection statistics flow module; the purchasing payment management flow module comprises: the system comprises a purchase payment application flow module, a purchase payment management flow module and a purchase payment statistics flow module.
S120: and extracting attribute keywords of each file data based on the file attribute of each file data of a semantic recognition algorithm.
In a certain embodiment, step S120 comprises the sub-steps of:
s121: extracting file names of each file data;
s122: the semantic recognition algorithm is based on the identification of file names of each file data so as to identify file attributes of each file data;
s123: and extracting attribute keywords of each file data.
In this embodiment, the semantic recognition algorithm includes a natural language processing algorithm. And identifying the file name of each file data through a natural language processing algorithm, and then extracting information from the file name to obtain the attribute key words of each file data. Exemplary, file names of file data in the cloud are: extracting the file names of each file data as XXXX project file data, XX project drawing and project amount list, XX project quotation list and project budget book of XXXX finite company, and then identifying the file name of each file data based on a semantic identification algorithm to identify the file attribute of each file data, thereby extracting attribute keywords of each file data: "File data", "drawing and engineering quantity list", "quotation table and budget book".
S130: and verifying the attribute keywords of each file data one by one according to a preset file data list.
In order to automatically check the integrity of all file data, all the file data needed by each project item are listed in a preset file data list, and attribute keywords of each file data are verified with file data information in the preset file data list one by one: if the attribute keywords of each file data are matched with the file data information in the preset file data list one by one and the required file data are not lacked, outputting all verification passing results; and if the attribute keywords of each file data are not matched with the file data information in the preset file data list or the part of required file data is absent, outputting a result of passing the verification of the part.
S140: and when the verification result is that part of verification passes, selecting and highlighting file data of which the attribute keywords cannot be matched with the preset file data list, and then generating a first abnormal prompt list.
In one embodiment, the file data that the highlight attribute keyword cannot be matched with the preset file data list includes:
and highlighting file data which cannot be matched with the preset file data list based on the first highlighting form highlight attribute keywords.
In this embodiment, when the verification result is that the partial verification is passed, the inspector is required to quickly review the missing or unmatched file data, and after determining that the attribute keywords cannot be matched with the file data in the preset file data list, the file data is highlighted in a first highlighting form, and then a first abnormality prompting list is generated. Wherein the first highlighting form includes bolding, marking colors, adding logos, and the like.
S150: and when the verification result is that all the verification passes, scanning the document content of each file data based on the semantic recognition algorithm to judge whether the file data is a revised manuscript.
In a certain embodiment, step S150 comprises the sub-steps of:
s151: scanning the document content of each file data one by one based on the semantic recognition algorithm;
s152: judging whether the document of the file data has revising marks and/or color marks or not; wherein the revision trace includes one or more of a deletion trace, an addition trace, and a modification trace;
s153: if yes, judging the file data as revised manuscripts.
Typically, for the final manuscript, there is no revision trace and color mark in the document, and if there is a revision trace, a color mark, or both, it indicates that the document is not finalized, i.e. is a revision file.
In this embodiment, when the verification result is that all the verification passes, the semantic recognition algorithm can also recognize the document content of each file data, so as to determine whether the document of the file data has a revision mark and/or a color mark: if the revising trace and/or the color mark are identified, judging that the file data is a revising manuscript; if no revision trace is identified and no color mark is identified, judging the file data as a final manuscript. Therefore, by automatically checking whether the file data is the final manuscript, a large number of manual confirmation processes are reduced, and the working efficiency is greatly improved.
When the verification result is that all the files pass, the semantic recognition algorithm scans the document content of each file data one by one, firstly, whether the document is in a revised state is judged, if the document is judged to be in the revised state, whether a deletion trace or a change trace appears in a review column of the document or whether an increase trace (text has underlines) appears in the document is further recognized, if the document is judged to be a revised manuscript, if the document is not judged to be a color mark, whether the document is further recognized to be a revised manuscript is judged, and if the document is not judged to be a final manuscript, the document is judged to be a final manuscript. If the document is judged not to be in the revised state, whether the document has a color mark is identified, the document data is judged to be the revised manuscript, and if not, the document data is judged to be the final manuscript.
S160: file data of the revised contribution is selected and highlighted, and then a second list of abnormal hints is generated.
In one embodiment, the highlighting revises the document data of the manuscript, including:
highlighting file data of the revised manuscript based on the second highlighting form; wherein the first highlighting form is different from the second highlighting form.
In this embodiment, in order for an inspector to quickly review the file data of the version abnormality, after determining the file data of the revised contribution, these file data are highlighted in a second highlighting form, and then a second abnormality suggestion list is generated. Wherein the second highlighting form includes bolding, marking color, adding a logo, etc. and is different from the first highlighting form in order to distinguish file data of abnormal version from file data of missing or non-matching.
S170: and displaying the first abnormal prompt list or the second abnormal prompt list, and displaying the current flow progress of each engineering project flow module.
And the inspector views the first abnormal prompt list or the second abnormal prompt list through the terminal so as to quickly determine the reason of abnormality of the file data, such as version abnormality, deletion or mismatch. Meanwhile, by means of file data which cannot be matched with the preset file data list through the attribute keywords in the first highlighting mode, file data of manuscripts are highlighted and revised through the attribute keywords in the second highlighting mode, an inspector can rapidly distinguish abnormal file data in the cloud end and then process abnormal files, so that a large number of manual confirmation processes are reduced, and working efficiency is greatly improved.
In summary, the dynamic early warning management method of the engineering project flow comprises the steps of firstly obtaining file data of each engineering project flow module, then based on a semantic recognition algorithm, extracting attribute keywords of each file data, verifying the attribute keywords of each file data one by one according to a preset file data list, when the verification result is that part of the verification is passed, selecting and highlighting the file data of which the attribute keywords cannot be matched with the preset file data list, then generating a first abnormal prompt list, when the verification result is that all the verification is passed, scanning the document content of each file data based on the semantic recognition algorithm to judge whether the file data is a revised manuscript, selecting and highlighting the file data of the revised manuscript, then generating a second abnormal prompt list, and finally displaying the first abnormal prompt list or the second abnormal prompt list, and displaying the current flow progress of each engineering project flow module; meanwhile, the current flow progress of each engineering project flow module can be displayed in real time, so that a user can know the current flow progress in real time.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a management system 200 for displaying a workflow in one page, and in this embodiment, the dynamic early warning management system 200 for engineering project flow may include:
a file data obtaining module 201, configured to obtain file data of each engineering project flow module;
an attribute keyword extraction flow module 202, configured to extract a file attribute of each file data based on a semantic recognition algorithm, and extract an attribute keyword of each file data;
the verification flow module 203 is configured to verify attribute keywords of each file data one by one according to a preset file data list;
a first abnormal prompting list generating flow module 204, configured to select and highlight file data whose attribute keywords cannot be matched with the preset file data list when the verification result is that the verification result passes, and then generate a first abnormal prompting list;
a judging flow module 205, configured to scan, based on the semantic recognition algorithm, document content of each of the document data to judge whether the document data is a revised manuscript when the verification result is that all verification passes;
a second abnormal prompting list generating flow module 206, configured to select and highlight the file data of the revised contribution, and then generate a second abnormal prompting list;
the feedback display module 207 is configured to display the first abnormality prompt list or the second abnormality prompt list, and display a current flow progress of each engineering project flow module.
In one embodiment, the attribute keyword extraction flow module 202 is specifically configured to:
extracting file names of each file data;
the semantic recognition algorithm is based on the identification of file names of each file data so as to identify file attributes of each file data;
and extracting attribute keywords of each file data.
In one embodiment, the determining flow module 205 is specifically configured to:
scanning the document content of each file data one by one based on the semantic recognition algorithm;
judging whether the document of the file data has revising marks and/or color marks or not; wherein the revision trace includes one or more of a deletion trace, an addition trace, and a modification trace;
if yes, judging the file data as revised manuscripts.
The specific limitation of the dynamic early warning management system 200 related to the engineering project flow may be referred to as the limitation of the dynamic early warning management method related to the engineering project flow, which is not described herein. The various flow modules of the dynamic early warning management system 200 for engineering project flows described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above flow modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above flow modules.
Referring to fig. 3, fig. 3 is a block diagram of an electronic device 20 according to an embodiment of the present invention, where the electronic device 20 provided by the embodiment of the present invention includes a processor 21, a memory 22, and a computer program stored in the memory 22 and configured to be executed by the processor 21, and steps in an embodiment of a dynamic early warning management method of the engineering project flow are implemented when the processor 21 executes the computer program, for example, steps S110 to S170 in fig. 1; alternatively, the processor 21 implements the functions of each flow module in the above embodiments of the apparatus when executing the computer program, for example, the file data generating flow module 201 is configured to obtain engineering information, generate corresponding file data, and store the corresponding file data in the cloud.
By way of example, a computer program may be partitioned into one or more flow modules that are stored in memory 22 and executed by processor 21 to perform the present invention. One or more of the flow modules may be a series of computer program instruction segments capable of performing particular functions in describing the execution of the computer program in the electronic device 20.
The electronic device 20 may be a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud server, and the electronic device 20 includes a desktop computer, a notebook computer, or a palm computer, where the processor 21 executes a computer program to implement step S110 in fig. 1, and the electronic device 20 further includes a cloud server, where the processor 21 executes a computer program to implement steps S120 to S170 in fig. 1. The electronic device 20 may include, but is not limited to, a processor 21, a memory 22. It will be appreciated by those skilled in the art that the schematic diagram is merely an example of the electronic device 20 and is not limiting of the electronic device 20, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the electronic device 20 may also include input-output devices, network access devices, buses, etc.
The processor 21 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 21 is a control center of the electronic device 20, connecting various parts of the entire electronic device 20 using various interfaces and lines.
The memory 22 may be used to store computer programs and/or flow modules, and the processor 21 implements the various functions of the electronic device 20 by running or executing the computer programs and/or flow modules stored in the memory 22 and invoking data stored in the memory 22. The memory 22 may mainly include a storage program area that may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and a storage data area; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory 22 may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Where the flow modules integrated by the electronic device 20 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, and the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
Those skilled in the art will appreciate that the processes implementing all or part of the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the processes of the embodiments of the methods as above when executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random-access Memory (Random Access Memory, RAM), or the like.
Accordingly, an embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, and when the computer program runs, the device where the computer readable storage medium is located is controlled to execute steps in the dynamic early warning management method of the engineering project flow in the foregoing embodiment, for example, steps S110 to S170 in fig. 1.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (8)
1. A method for managing a presentation workflow, comprising:
acquiring file data of each engineering project flow module;
identifying the file attribute of each file data based on a semantic identification algorithm, and extracting attribute keywords of each file data;
verifying attribute keywords of each file data one by one according to a preset file data list;
when the verification result is that part of verification passes, selecting and highlighting file data of which the attribute keywords cannot be matched with the preset file data list, and then generating a first abnormal prompt list;
when the verification result is that all the verification passes, scanning the document content of each file data based on the semantic recognition algorithm to judge whether the file data is a revised manuscript;
selecting and highlighting file data of the revised manuscript, and then generating a second abnormal prompting list;
displaying the first abnormal prompt list or the second abnormal prompt list, and displaying the current flow progress of each engineering project flow module;
the file data which cannot be matched with the preset file data list by the highlight attribute keywords comprises:
file data which cannot be matched with the preset file data list based on the highlight attribute keywords in the first highlight form;
the file data of the highlight revision manuscript comprises:
highlighting file data of the revised manuscript based on the second highlighting form; wherein the first highlighting form is different from the second highlighting form.
2. The method of claim 1, wherein the engineering project flow module comprises engineering data of an engineering business flow module, a financial flow module and a user flow module; the system comprises an engineering business process module, a financial process module and a user process module, wherein the engineering business process module is used for storing and managing corresponding engineering business data according to a preset business main line, the financial process module is used for storing and managing engineering financial data corresponding to the business main line, and the user process module is used for storing and managing engineering user data corresponding to the business main line;
the engineering business process module comprises a human resource process module, an administrative management process module, an operation management process module, a bid-bidding management process module, a cost management process module, a purchase management process module and an engineering management process module;
the human resource flow module comprises: personnel configuration planning flow module, recruitment management flow module, attendance management flow module, training planning flow module and training management flow module; the operation management flow module comprises: the system comprises an operation management flow module, an item master planning flow module, a certificate lock release management flow module, a customer return visit management flow module and the like; the engineering management flow module comprises: the system comprises an engineering planning flow module, a security management flow module, a quality management flow module, a progress management flow module, a technical management flow module and a data management flow module;
the financial flow module comprises: the system comprises a collection management flow module, a purchase payment management flow module, a team payment management flow module, a fee reimbursement management flow module and a borrowing management flow module;
the collection management flow module comprises a nuclear settlement billing management flow module, a quality insurance billing management flow module, a first party collection management flow module and a collection statistics flow module; the purchasing payment management flow module comprises: the system comprises a purchase payment application flow module, a purchase payment management flow module and a purchase payment statistics flow module.
3. The method of claim 1, wherein the semantic recognition algorithm identifies file attributes of each of the file data and extracts attribute keywords of each of the file data, comprising:
extracting file names of each file data;
the semantic recognition algorithm is based on the identification of file names of each file data so as to identify file attributes of each file data;
and extracting attribute keywords of each file data.
4. The method of claim 1, wherein scanning the document content of each of the document data based on the semantic recognition algorithm to determine whether a document of the document data is a revised contribution, comprises:
scanning the document content of each file data one by one based on the semantic recognition algorithm;
judging whether the document of the file data has revising marks and/or color marks or not; wherein the revision trace includes one or more of a deletion trace, an addition trace, and a modification trace;
if yes, judging the file data as revised manuscripts.
5. The utility model provides a dynamic early warning management system of engineering project flow which characterized in that includes:
the file data acquisition module is used for acquiring file data of each engineering project flow module;
the attribute keyword extraction flow module is used for extracting the attribute keywords of each file data based on the file attribute of each file data of the semantic recognition algorithm;
the verification flow module is used for verifying attribute keywords of each file data one by one according to a preset file data list;
the first abnormal prompting list generating flow module is used for selecting and highlighting file data of which the attribute keywords cannot be matched with the preset file data list when the verification result is that part of verification passes, and then generating a first abnormal prompting list, wherein the file data of which the attribute keywords cannot be matched with the preset file data list comprises the following components: file data which cannot be matched with the preset file data list based on the highlight attribute keywords in the first highlight form;
the judging flow module is used for scanning the document content of each file data based on the semantic recognition algorithm when the verification result is that all verification passes so as to judge whether the file data is a revised manuscript or not;
a second abnormality alert list generation flow module for selecting and highlighting document data of the revised contribution, and then generating a second abnormality alert list, the highlighting document data of the revised contribution comprising:
highlighting file data of the revised manuscript based on the second highlighting form; wherein the first highlighting form is different from the second highlighting form;
and the feedback display module is used for displaying the first abnormal prompt list or the second abnormal prompt list and displaying the current flow progress of each engineering project flow module.
6. The dynamic early warning management system of engineering project flow according to claim 5, wherein the attribute keyword extraction flow module is specifically configured to:
extracting file names of each file data;
the semantic recognition algorithm is based on the identification of file names of each file data so as to identify file attributes of each file data;
and extracting attribute keywords of each file data.
7. The dynamic early warning management system of engineering project flow according to claim 5, wherein the judging flow module is specifically configured to:
scanning the document content of each file data one by one based on the semantic recognition algorithm;
judging whether the document of the file data has revising marks and/or color marks or not; wherein the revision trace includes one or more of a deletion trace, an addition trace, and a modification trace;
if yes, judging the file data as revised manuscripts.
8. An electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method of managing a page presentation workflow according to any one of claims 1 to 4 when the computer program is executed.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004126999A (en) * | 2002-10-03 | 2004-04-22 | Ntt Comware Corp | System and program for supporting book publication work |
| JP2004206658A (en) * | 2002-10-29 | 2004-07-22 | Fuji Xerox Co Ltd | Display control method, information display processing system, client terminal, management server, and program |
| JP2008304997A (en) * | 2007-06-05 | 2008-12-18 | Mitsubishi Electric Corp | Maintenance operation support system |
| JP2010182287A (en) * | 2008-07-17 | 2010-08-19 | Steven C Kays | Intelligent adaptive design |
| US8185471B1 (en) * | 2008-09-23 | 2012-05-22 | Bank Of America Corporation | Integrated payment receiving and processing system |
| WO2017213278A1 (en) * | 2016-06-09 | 2017-12-14 | 주식회사 비엔알아이 | Attribute analysis system and method for analysis target, and recording medium having, stored thereon, computer program for method |
| JP2020024507A (en) * | 2018-08-06 | 2020-02-13 | 株式会社日立製作所 | Document file transfer device |
| CN112328805A (en) * | 2020-10-29 | 2021-02-05 | 北京华云安信息技术有限公司 | Entity mapping method of vulnerability description information and database table based on NLP |
| CN112632249A (en) * | 2020-12-22 | 2021-04-09 | 平安普惠企业管理有限公司 | Method and device for displaying different versions of information of product, computer equipment and medium |
| CN113344527A (en) * | 2021-06-04 | 2021-09-03 | 内蒙古自治区锡林郭勒盟中级人民法院 | Method and platform for integrally managing and storing judicial advice information |
| CN114021042A (en) * | 2021-10-28 | 2022-02-08 | 平安国际智慧城市科技股份有限公司 | Webpage content extraction method and device, computer equipment and storage medium |
| CN114202239A (en) * | 2021-12-23 | 2022-03-18 | 中国石油天然气股份有限公司 | Engineering cost risk early warning system |
| KR102417824B1 (en) * | 2021-01-20 | 2022-07-06 | 주식회사 한글과컴퓨터 | Document management server that interlocks with a plurality of document repositories to load a document file similar to a scanned image of a paper document received from a client terminal and operating method thereof |
| CN115112974A (en) * | 2022-06-22 | 2022-09-27 | 大航有能电气有限公司 | Power system parameter on-line monitoring system based on optical fiber sensing |
-
2023
- 2023-04-21 CN CN202310441428.9A patent/CN116485336B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004126999A (en) * | 2002-10-03 | 2004-04-22 | Ntt Comware Corp | System and program for supporting book publication work |
| JP2004206658A (en) * | 2002-10-29 | 2004-07-22 | Fuji Xerox Co Ltd | Display control method, information display processing system, client terminal, management server, and program |
| JP2008304997A (en) * | 2007-06-05 | 2008-12-18 | Mitsubishi Electric Corp | Maintenance operation support system |
| JP2010182287A (en) * | 2008-07-17 | 2010-08-19 | Steven C Kays | Intelligent adaptive design |
| US8185471B1 (en) * | 2008-09-23 | 2012-05-22 | Bank Of America Corporation | Integrated payment receiving and processing system |
| WO2017213278A1 (en) * | 2016-06-09 | 2017-12-14 | 주식회사 비엔알아이 | Attribute analysis system and method for analysis target, and recording medium having, stored thereon, computer program for method |
| JP2020024507A (en) * | 2018-08-06 | 2020-02-13 | 株式会社日立製作所 | Document file transfer device |
| CN112328805A (en) * | 2020-10-29 | 2021-02-05 | 北京华云安信息技术有限公司 | Entity mapping method of vulnerability description information and database table based on NLP |
| CN112632249A (en) * | 2020-12-22 | 2021-04-09 | 平安普惠企业管理有限公司 | Method and device for displaying different versions of information of product, computer equipment and medium |
| KR102417824B1 (en) * | 2021-01-20 | 2022-07-06 | 주식회사 한글과컴퓨터 | Document management server that interlocks with a plurality of document repositories to load a document file similar to a scanned image of a paper document received from a client terminal and operating method thereof |
| CN113344527A (en) * | 2021-06-04 | 2021-09-03 | 内蒙古自治区锡林郭勒盟中级人民法院 | Method and platform for integrally managing and storing judicial advice information |
| CN114021042A (en) * | 2021-10-28 | 2022-02-08 | 平安国际智慧城市科技股份有限公司 | Webpage content extraction method and device, computer equipment and storage medium |
| CN114202239A (en) * | 2021-12-23 | 2022-03-18 | 中国石油天然气股份有限公司 | Engineering cost risk early warning system |
| CN115112974A (en) * | 2022-06-22 | 2022-09-27 | 大航有能电气有限公司 | Power system parameter on-line monitoring system based on optical fiber sensing |
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| Publication number | Publication date |
|---|---|
| CN116485336A (en) | 2023-07-25 |
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