CN115983808A - Project data intelligent management system and method based on digital construction - Google Patents
Project data intelligent management system and method based on digital construction Download PDFInfo
- Publication number
- CN115983808A CN115983808A CN202310275294.8A CN202310275294A CN115983808A CN 115983808 A CN115983808 A CN 115983808A CN 202310275294 A CN202310275294 A CN 202310275294A CN 115983808 A CN115983808 A CN 115983808A
- Authority
- CN
- China
- Prior art keywords
- approval
- examination
- data
- event
- events
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to the technical field of big data management, in particular to a project data intelligent management system and a project data intelligent management method based on digital construction, which comprises the steps of capturing all examination and approval records generated in a digital project data management platform, extracting characteristic information of each examination and approval record, and combing all examination and approval events; sorting the essential element information of the main approval conditions required to be met by each category of approval events; judging and identifying the approval event with approval correlation; monitoring and capturing the entry condition of project data of project personnel in a digital project data management platform in real time, feeding back a corresponding priority sequence set by the digital project data management platform in an approval event with an approval incidence relation, controlling the digital project data management platform to generate a corresponding event to be approved based on the priority sequence, and feeding back a user with a related authority to perform event approval.
Description
Technical Field
The invention relates to the technical field of big data management, in particular to a project data intelligent management system and method based on digital construction.
Background
Project personnel are main users in a digital project data management platform and mainly perform the operations of inputting, approving and rechecking basic data; the data service ranges of the butt joint of different project personnel are different, when a plurality of project personnel enter project data in a digital project data management platform at the same time, and the composition of the to-be-approved data in a plurality of approval events is formed in all the entered project data at the same time, namely that a plurality of project personnel complete the entry of the project data, a plurality of to-be-approved works can be generated in the digital project data management platform at the same time, the same to-be-approved data can be approved in the plurality of to-be-approved works, in this case, if the to-be-approved data shows disqualification in one to-be-approved work, the disqualification can also be shown in other to-be-approved works, the related project personnel need to modify and upload the to-be-approved data for a plurality of times, and the project personnel involved in the plurality of to-be subjected to the same to-be approved works, which wastes material resources and manpower.
Disclosure of Invention
The invention aims to provide a project data intelligent management system and method based on digital construction, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a project data intelligent management method based on digital construction comprises the following steps:
step S100: extracting a historical operation log of the digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, extracting characteristic information of each examination and approval record, and combing all examination and approval events existing in the digital project data management platform based on the characteristic information corresponding to each examination and approval record;
step S200: respectively classifying and collecting all the approval records which pass or do not pass based on the approval conclusion in the approval record set corresponding to each type of approval event; sorting the essential information of the main approval condition required to be met by each type of approval event based on the deviation distribution condition on the to-be-approved data according to approval records passing and failing to pass;
step S300: judging and identifying the approval events with approval correlation based on corresponding to-be-approved data in each approval event and the key element information of the main approval condition;
step S400: monitoring and capturing the entry condition of project data of project personnel in a digital project data management platform in real time, wherein each time the entered project data simultaneously meets the composition of to-be-approved data in two or more approval events, before triggering the digital project data management platform to generate to-be-approved work corresponding to the two or more approval events, extracting the approval events with approval incidence relation between the two or more approval events;
step S500: and the feedback digital project data management platform sets corresponding priority sequencing in the approval events with approval incidence relation, controls the digital project data management platform to generate corresponding events to be approved based on the priority sequencing, and simultaneously feeds back users with related rights to perform event approval.
Further, step S100 includes:
step S101: capturing pending data corresponding to each approval record and authority accounts with approval authorities of the pending data; taking the data to be reviewed and the authority account number as first characteristic information corresponding to each examination and approval record; in each examination and approval record, capturing the authority account to examine and approve the data to be examined and approved, obtaining examination and approval material information which is referred to when the examination and approval conclusion is corresponded, and taking the examination and approval material information as second characteristic information which corresponds to each examination and approval record;
step S102: collecting the examination and approval records with the same first characteristic information and second characteristic information respectively to obtain a plurality of examination and approval record sets; one examination and approval record set corresponds to one type of examination and approval event, and all examination and approval records existing in each examination and approval record set are used as all examination and approval records existing when the corresponding type of examination and approval event occurs;
the characteristic information arrangement of all the approval records is mainly to find the approval records belonging to the same type of approval event in all the approval records, and the approval records can be understood as belonging to the same approval node, and the data needing to be approved in the approval node and the approval requirements to be followed when the data are approved are consistent.
Further, step S200 includes:
step S201: respectively taking each approval record with an approval conclusion of failing as a target approval record in the approval record set corresponding to each type of approval event in sequence, collecting the target approval records, and extracting an opinion modification item aiming at to-be-approved data in the target approval record from approval modification opinions fed back by corresponding authority users based on the approval conclusion; carrying out deviation comparison between the target approval records and each approval record passing the approval conclusion based on the to-be-approved data to obtain a plurality of to-be-approved data items with data deviation, and reserving the plurality of to-be-approved data items with deviation times larger than a time threshold;
step S202: setting a plurality of to-be-approved data items as approval key items in each type of approval events; establishing modification mapping relations between each examination and approval key item reserved in the target examination and approval record and each opinion modification item extracted from the target examination and approval record respectively to obtain a corresponding mapping formula: approval key item → opinion modification item; collecting all mapping formulas existing in each type of approval event respectively, and taking the mapping formula of which the extraction times are greater than a time threshold value as main approval condition element information which needs to be met based on the to-be-approved data in each type of approval event;
according to the historical operation log based on the digital project data management platform, for all examination and approval records belonging to a category of examination and approval events, based on different examination and approval conclusions and examination and approval modification opinions fed back by authorized users, a reason structure which is common in the category of examination and approval events and causes the examination and approval to fail is captured intelligently, and the reason structure is embodied into a mapping form between an examination and approval key item and an opinion modification item, namely, the reason structure is disassembled into a certain item of to-be-approved data and a required item of the corresponding item of to-be-approved data.
Further, step S300 includes:
step S301: extracting the to-be-inspected data in any two approval events, setting the to-be-inspected data corresponding to the approval event a as A, and setting the to-be-inspected data corresponding to the approval event B as B; if A ≠ B = C ≠ 0, capturing to-be-approved data items to which each data in the set C belongs, and preliminarily judging that the approval event a is related to the approval event B when at least one to-be-approved data item is an approval key item corresponding to the approval event A and the approval event B in the to-be-approved data items to which all the data in the set C belong;
step S302: extracting a plurality of to-be-inspected data items which are the inspecting and approving key items of the corresponding inspecting and approving event a and the inspecting and approving event b simultaneously, and setting the plurality of to-be-inspected data items as target to-be-inspected data items respectively; respectively acquiring all mapping formulas Ya which need to be met by each target data item to be approved in the approval event a and the mapping formulas Yb which need to be met in the approval event b, and judging that the approval event a and the approval event a form an approval incidence relation on the target data item to be approved when Ya = Yb;
the method comprises the steps of extracting approval events with approval incidence relations and determining corresponding related to-be-approved data items, wherein the purpose is to search for data items which are in more than two approval events and need to be approved repeatedly, and the approval standards of the approval data items in the approval events with approval incidence relations are consistent, so that necessary technical support is provided for the priority of subsequent reasonable and safe approval work.
Further, step S500 includes:
step S501: if the project data input by the project personnel in the digital project data management platform simultaneously meet the composition of the data to be examined in the M examination and approval events, wherein the examination and approval incidence relation is met among the N examination and approval events; respectively accumulating the number of the approval events of each approval event, taking all the approval data in each approval event as part of the approval data, and sequencing the N approval events from small to large according to corresponding numerical values to obtain a priority arrangement sequence formed by the N approval events;
because the priority is set in the approval event which needs to approve the same to-be-approved data, the failure of passing of multiple approval works due to the same reason can be avoided, and the normal passing rate in the subsequent approval works is improved.
Step S402: and controlling the digital project data management platform to generate corresponding events to be approved based on priority sequencing, and simultaneously feeding back related authority users to perform event approval.
The system comprises an approval event identification management module, an approval condition element information sorting module, an approval association judgment and identification module, an approval event monitoring module and an approval priority setting module;
the examination and approval event identification management module is used for extracting historical running logs of the digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, extracting characteristic information of each examination and approval record, and combing all examination and approval events existing in the digital project data management platform based on the characteristic information corresponding to each examination and approval record;
the examination and approval condition element information sorting module is used for sorting and collecting all examination and approval records as pass or fail based on examination and approval conclusion in the examination and approval record set corresponding to each type of examination and approval event; according to the examination and approval records of examination and approval passing and examination and approval failing, based on the deviation distribution condition on the data to be examined, the key element information of the main examination and approval condition required to be met by each type of examination and approval event is sorted;
the examination and approval association judgment and identification module is used for judging and identifying the examination and approval events with examination and approval association according to the corresponding to-be-examined and approval data in each examination and approval event and the key information of the main examination and approval conditions;
the system comprises an approval event monitoring module, a digital project data management platform and a digital project data processing module, wherein the approval event monitoring module is used for monitoring and capturing the entry condition of project data of project personnel in the digital project data management platform in real time, whenever the entered project data simultaneously meets the composition of data to be approved in two or more approval events, and before triggering the digital project data management platform to generate the work to be approved corresponding to the two or more approval events, extracting the approval events with approval incidence relation between the two or more approval events;
and the approval priority setting module is used for feeding back that the digital project data management platform sets corresponding priority sequencing in the approval events with approval incidence relations, controlling the digital project data management platform to generate corresponding events to be approved based on the priority sequencing, and feeding back related authority users to perform event approval.
Furthermore, the examination and approval event identification management module comprises a characteristic information extraction management unit and an examination and approval event combing unit;
the characteristic information extraction management unit is used for extracting the historical operating logs of the digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, and extracting the characteristic information of each examination and approval record;
and the examination and approval event combing unit is used for combing all examination and approval events existing in the digital project data management platform according to the characteristic information corresponding to each examination and approval record.
Furthermore, the examination and approval condition element information sorting module comprises a data deviation identification unit and an examination and approval condition element information sorting unit;
the data deviation identification unit is used for classifying and collecting all the approval records as pass or fail based on the approval conclusion in the approval record set corresponding to each type of approval event respectively, and taking each approval record with the approval conclusion as a target approval record in sequence; carrying out deviation comparison between the target approval records and each approval record passing the approval conclusion based on the to-be-approved data to obtain a plurality of to-be-approved data items with data deviation, and reserving the plurality of to-be-approved data items with deviation times larger than a time threshold;
and the examination and approval condition element information sorting unit is used for sorting the main examination and approval condition element information required to be met by each type of examination and approval event based on the deviation distribution condition on the to-be-approved data according to the examination and approval records passing and failing to pass.
Compared with the prior art, the invention has the following beneficial effects: the invention aims at the condition that when a plurality of project personnel enter project data in a digital project data management platform at the same time, and because the composition of the to-be-examined and approved data in a plurality of examination and approval events is formed in all the entered project data at the same time, a plurality of to-be-examined and approved works are generated at the same time, and the same to-be-examined and approved data can be checked in the plurality of to-be-examined and approved works, corresponding priority sequencing is set in the examination and approval events with examination and approval incidence relation, the phenomenon that the plurality of examination and approval works pass through and fail due to the same reason is reduced, the normal passing rate in the subsequent examination and approval works is improved, and the work operation speed in the digital project data management platform is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart of a project data intelligent management method based on digital construction;
fig. 2 is a schematic structural diagram of a project data intelligent management system based on digital construction.
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.
Referring to fig. 1-2, the present invention provides a technical solution:
a project data intelligent management method based on digital construction comprises the following steps:
step S100: extracting a historical operation log of the digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, extracting characteristic information of each examination and approval record, and combing all examination and approval events existing in the digital project data management platform based on the characteristic information corresponding to each examination and approval record;
wherein, step S100 includes:
step S101: capturing pending data corresponding to each approval record and authority accounts with approval authorities of the pending data; taking the data to be reviewed and the authority account number as first characteristic information corresponding to each examination and approval record; in each examination and approval record, capturing the authority account number to examine and approve the data to be examined and approved, obtaining examination and approval material information which is referred to when the corresponding examination and approval conclusion is obtained, and taking the examination and approval material information as second characteristic information corresponding to each examination and approval record;
step S102: collecting the examination and approval records with the same first characteristic information and second characteristic information respectively to obtain a plurality of examination and approval record sets; one examination and approval record set corresponds to one type of examination and approval event, and all examination and approval records existing in each examination and approval record set are used as all examination and approval records existing when the corresponding type of examination and approval event occurs;
step S200: respectively classifying and collecting all the approval records as pass or fail based on approval conclusion in an approval record set corresponding to each type of approval event; sorting the essential information of the main approval condition required to be met by each type of approval event based on the deviation distribution condition on the to-be-approved data according to approval records passing and failing to pass;
wherein, step S200 includes:
step S201: in the approval record sets corresponding to each type of approval events, taking each approval record with an approval conclusion of failure as a target approval record in sequence, collecting the target approval records, and extracting opinion modification items aiming at the data to be approved in the target approval records from the approval modification opinions fed back by corresponding authority users based on the approval conclusion; carrying out deviation comparison between the target approval records and each approval record passing the approval conclusion based on the to-be-approved data to obtain a plurality of to-be-approved data items with data deviation, and reserving the plurality of to-be-approved data items with deviation times larger than a time threshold;
step S202: setting a plurality of to-be-approved data items as approval key items in each type of approval events; establishing modification mapping relations between each examination and approval key item reserved in the target examination and approval record and each opinion modification item extracted from the target examination and approval record respectively to obtain a corresponding mapping formula: approval key item → opinion modification item; collecting all mapping formulas existing in each type of approval event respectively, and taking the mapping formula with the extraction times larger than a time threshold value as main approval condition element information required to be met based on the data to be approved in each type of approval event;
step S300: judging and identifying the approval events with approval correlation based on corresponding to-be-approved data in each approval event and the key element information of the main approval condition;
wherein, step S300 includes:
step S301: extracting the data to be reviewed in any two approval events, setting the data to be reviewed corresponding to the approval event a as A, and setting the data to be reviewed corresponding to the approval event B as B; if A ≠ B = C ≠ 0, capturing to-be-approved data items to which each data in the set C belongs, and preliminarily judging that the approval event a is related to the approval event B when at least one to-be-approved data item is an approval key item corresponding to the approval event A and the approval event B in the to-be-approved data items to which all the data in the set C belong;
step S302: extracting a plurality of to-be-inspected data items which are the inspecting and approving key items of the corresponding inspecting and approving event a and the inspecting and approving event b simultaneously, and setting the plurality of to-be-inspected data items as target to-be-inspected data items respectively; respectively acquiring all mapping formulas Ya which need to be met by each target data item to be approved in the approval event a and the mapping formulas Yb which need to be met in the approval event b, and judging that the approval event a and the approval event a form an approval incidence relation on the target data item to be approved when Ya = Yb;
step S400: monitoring and capturing the entry condition of project data of project personnel in a digital project data management platform in real time, wherein each time the entered project data simultaneously meets the composition of the data to be approved in two or more approval events, before the digital project data management platform is triggered to generate the work to be approved corresponding to the two or more approval events, the approval events with approval incidence relation between the two or more approval events are extracted;
step S500: the feedback digital project data management platform sets corresponding priority sequencing in the approval events with approval incidence relation, controls the digital project data management platform to generate corresponding events to be approved based on the priority sequencing, and simultaneously feeds back related authority users to perform event approval;
wherein, step S500 includes:
step S501: if the project data input by the project personnel in the digital project data management platform simultaneously meet the composition of the data to be examined in the M examination and approval events, wherein the examination and approval incidence relation is met among the N examination and approval events; respectively accumulating the number of the approval events taking all the to-be-approved data in the approval events as one part of the to-be-approved data, and sequencing the N approval events from small to large according to corresponding numerical values to obtain a priority arrangement sequence formed by the N approval events;
for example, there is one approval event Q1, and all the pending data in the approval event includes H, the configuration of the pending data in the approval event Q2 is now captured as H + G, where G represents other pending data than H, the configuration of the pending data in the approval event Q3 is captured as H + F, where F represents other pending data than H, and the configuration of the pending data in the approval event Q4 is captured as U, where U represents other pending data than H;
in summary, the approval events Q2 and Q3 are approval events satisfying that all the to-be-approved data in the approval event Q1 is used as a part of the to-be-approved data;
therefore, the number of the approval events in each approval event Q1, which take all the to-be-approved data in the approval event Q1 as one part of the to-be-approved data, is 2;
step S502: and controlling the digital project data management platform to generate corresponding events to be approved based on priority sequencing, and simultaneously feeding back related authority users to perform event approval.
The system comprises an approval event identification management module, an approval condition element information sorting module, an approval association judgment and identification module, an approval event monitoring module and an approval priority setting module;
the examination and approval event identification management module is used for extracting a historical operating log of the digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, extracting characteristic information of each examination and approval record, and combing all examination and approval events existing in the digital project data management platform based on the characteristic information corresponding to each examination and approval record;
the approval event identification management module comprises a characteristic information extraction management unit and an approval event combing unit;
the characteristic information extraction management unit is used for extracting the historical operating logs of the digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, and extracting the characteristic information of each examination and approval record;
the examination and approval event combing unit is used for combing all examination and approval events existing in the digital project data management platform according to the characteristic information corresponding to each examination and approval record;
the examination and approval condition element information sorting module is used for sorting and collecting all examination and approval records which pass or do not pass based on the examination and approval conclusion in the examination and approval record set corresponding to each type of examination and approval event; sorting the essential information of the main approval condition required to be met by each type of approval event based on the deviation distribution condition on the to-be-approved data according to approval records passing and failing to pass;
the examination and approval condition element information sorting module comprises a data deviation identification unit and an examination and approval condition element information sorting unit;
the data deviation identification unit is used for classifying and collecting all the approval records as pass or fail based on the approval conclusion in the approval record set corresponding to each type of approval event respectively, and taking each approval record with the approval conclusion as a target approval record in sequence; carrying out deviation comparison between the target approval records and each approval record passing the approval conclusion based on the to-be-approved data to obtain a plurality of to-be-approved data items with data deviation, and reserving the plurality of to-be-approved data items with deviation times larger than a time threshold;
the examination and approval condition element information sorting unit is used for sorting the main examination and approval condition element information required to be met by each type of examination and approval event based on the deviation distribution condition on the to-be-examined and approved data according to the examination and approval record passing and failing to pass;
the examination and approval association judgment and identification module is used for judging and identifying the examination and approval events with examination and approval association according to the corresponding to-be-examined and approval data in each examination and approval event and the key information of the main examination and approval conditions;
the system comprises an approval event monitoring module, a digital project data management platform and a digital project data processing module, wherein the approval event monitoring module is used for monitoring and capturing the entry condition of project data of project personnel in the digital project data management platform in real time, whenever the entered project data simultaneously meets the composition of data to be approved in two or more approval events, and before triggering the digital project data management platform to generate the work to be approved corresponding to the two or more approval events, extracting the approval events with approval incidence relation between the two or more approval events;
and the approval priority setting module is used for feeding back that the digital project data management platform sets corresponding priority sequencing in the approval events with approval incidence relations, controlling the digital project data management platform to generate corresponding events to be approved based on the priority sequencing, and feeding back related authority users to perform event approval.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. 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. A project data intelligent management method based on digital construction is characterized by comprising the following steps:
step S100: extracting a historical running log of a digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, extracting characteristic information of each examination and approval record, and combing all examination and approval events existing in the digital project data management platform based on the characteristic information corresponding to each examination and approval record;
step S200: respectively classifying and collecting all the approval records as pass or fail based on approval conclusion in an approval record set corresponding to each type of approval event; sorting the essential information of the main approval condition required to be met by each type of approval event based on the deviation distribution condition on the to-be-approved data according to approval records passing and failing to pass;
step S300: judging and identifying the approval events with approval correlation based on corresponding to-be-approved data in each approval event and the key element information of the main approval condition;
step S400: monitoring and capturing the entry condition of project data of project personnel in a digital project data management platform in real time, wherein each time the entered project data simultaneously meets the composition of to-be-approved data in two or more approval events, before triggering the digital project data management platform to generate to-be-approved work corresponding to the two or more approval events, extracting the approval events with approval incidence relation between the two or more approval events;
step S500: and the feedback digital project data management platform sets corresponding priority sequencing in the approval events with approval incidence relation, controls the digital project data management platform to generate corresponding events to be approved based on the priority sequencing, and simultaneously feeds back users with related rights to perform event approval.
2. The method for intelligently managing project data based on digital construction according to claim 1, wherein the step S100 comprises:
step S101: capturing to-be-examined data corresponding to each examination and approval record and authority accounts with examination and approval authorities of the to-be-examined data; taking the data to be reviewed and the authority account number as first characteristic information corresponding to each examination and approval record; capturing the authority account number in each examination and approval record to examine and approve the to-be-examined data, obtaining examination and approval material information which is referred to when a corresponding examination and approval conclusion is obtained, and taking the examination and approval material information as second characteristic information corresponding to each examination and approval record;
step S102: collecting the examination and approval records with the same first characteristic information and second characteristic information respectively to obtain a plurality of examination and approval record sets; and one approval record set corresponds to one type of approval event, and all approval records existing in each approval record set are used as all approval records existing when the corresponding type of approval event occurs.
3. The method for intelligently managing project data based on digital construction according to claim 2, wherein the step S200 comprises:
step S201: in the approval record sets corresponding to each type of approval events, taking each approval record with an approval conclusion of failure as a target approval record in sequence, collecting the approval record in the target approval record, and extracting opinion modification items aiming at the data to be approved in the target approval record from the approval modification opinions fed back by corresponding authority users based on the approval conclusion; comparing the deviation between the target approval records and each approval record with the approval conclusion that the target approval record passes through based on the data to be approved to obtain a plurality of data items to be approved with data deviation, and reserving the data items to be approved with the deviation times larger than the time threshold;
step S202: setting the plurality of to-be-approved data items as approval key items in each type of approval events; establishing modification mapping relations between each examination and approval key item reserved in the target examination and approval record and each opinion modification item extracted from the target examination and approval record respectively to obtain a corresponding mapping formula: approval key item → opinion modification item; and respectively collecting all mapping formulas existing in each type of approval event, and taking the mapping formula of which the extraction times are greater than a time threshold value as main approval condition element information which needs to be met based on the to-be-approved data in each type of approval event.
4. The method for intelligently managing project data based on digital construction according to claim 1, wherein the step S300 comprises:
step S301: extracting the data to be reviewed in any two approval events, setting the data to be reviewed corresponding to the approval event a as A, and setting the data to be reviewed corresponding to the approval event B as B; if A ≠ B = C ≠ 0, capturing to-be-approved data items to which each data in the set C belongs, and preliminarily judging that the approval event a is related to the approval event B when at least one to-be-approved data item exists in the to-be-approved data items to which all the data in the set C belong and is an approval key item corresponding to the approval event A and the approval event B;
step S302: extracting a plurality of to-be-reviewed data items which are the approval key items corresponding to the approval event a and the approval event b at the same time, and respectively setting the plurality of to-be-reviewed data items as target to-be-reviewed data items; and respectively acquiring all mapping formulas Ya which need to be met by each target data item to be approved in the approval event a and the mapping formulas Yb which need to be met in the approval event b, and judging that the approval event a and the approval event a form an approval incidence relation on the target data item to be approved when Ya = Yb.
5. The method for intelligently managing project data based on digital construction according to claim 4, wherein the step S500 comprises:
step S501: if the project data input by the project personnel in the digital project data management platform simultaneously meet the composition of the data to be examined in the M examination and approval events, wherein the examination and approval incidence relation is met among the N examination and approval events; respectively accumulating the number of the approval events taking all the to-be-approved data in the approval events as one part of the to-be-approved data, and sequencing the N approval events from small to large according to corresponding numerical values to obtain a priority arrangement sequence formed among the N approval events;
step S502: and controlling the digital project data management platform to generate corresponding events to be approved based on the priority sequence, and simultaneously feeding back related authority users to perform event approval.
6. An item data intelligent management system applying the project data intelligent management method based on digital construction as claimed in any one of claims 1-5, characterized in that the system comprises an examination and approval event identification management module, an examination and approval condition element information sorting module, an examination and approval correlation judgment identification module, an examination and approval event monitoring module and an examination and approval priority setting module;
the examination and approval event identification management module is used for extracting a historical operating log of a digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, extracting characteristic information of each examination and approval record, and combing all examination and approval events existing in the digital project data management platform based on the characteristic information corresponding to each examination and approval record;
the examination and approval condition element information sorting module is used for sorting and collecting all examination and approval records as pass or fail based on examination and approval conclusion in the examination and approval record set corresponding to each type of examination and approval event; sorting the essential information of the main approval condition required to be met by each type of approval event based on the deviation distribution condition on the to-be-approved data according to approval records passing and failing to pass;
the examination and approval association judgment and identification module is used for judging and identifying the examination and approval events with examination and approval association according to the corresponding to-be-examined and approval data in each examination and approval event and the key information of the main examination and approval conditions;
the examination and approval event monitoring module is used for monitoring and capturing the entry condition of project data of project personnel in a digital project data management platform in real time, and extracting examination and approval events with examination and approval incidence relation between two or more examination and approval events before triggering the digital project data management platform to generate examination and approval work corresponding to the two or more examination and approval events when the entered project data simultaneously meets the composition of the examination and approval data in the two or more examination and approval events;
the examination and approval priority setting module is used for feeding back that the digital project data management platform sets corresponding priority sequencing in examination and approval events with examination and approval incidence relations, controlling the digital project data management platform to generate corresponding events to be examined and approved based on the priority sequencing, and feeding back related authority users to carry out event examination and approval.
7. The project data intelligent management system according to claim 6, wherein the approval event recognition management module comprises a characteristic information extraction management unit and an approval event combing unit;
the characteristic information extraction management unit is used for extracting a historical running log of the digital project data management platform, capturing all examination and approval records generated in the digital project data management platform, and extracting characteristic information of each examination and approval record;
and the examination and approval event combing unit is used for combing all examination and approval events existing in the digital project data management platform according to the characteristic information corresponding to each examination and approval record.
8. The project data intelligent management system according to claim 6, wherein the examination and approval condition element information sorting module comprises a data deviation identification unit and an examination and approval condition element information sorting unit;
the data deviation identification unit is used for classifying and collecting all the approval records as pass or fail based on the approval conclusion in the approval record sets corresponding to each type of approval events respectively, and taking each approval record of which the approval conclusion is fail as a target approval record in sequence; carrying out deviation comparison between the target approval records and each approval record passing the approval conclusion based on the to-be-approved data to obtain a plurality of to-be-approved data items with data deviation, and reserving the plurality of to-be-approved data items with deviation times larger than a time threshold;
and the examination and approval condition element information sorting unit is used for sorting the main examination and approval condition element information required to be met by each type of examination and approval event based on the deviation distribution condition on the data to be approved according to the examination and approval records of which the examination and approval are passed and not passed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310275294.8A CN115983808B (en) | 2023-03-21 | 2023-03-21 | Project data intelligent management system and method based on digital construction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310275294.8A CN115983808B (en) | 2023-03-21 | 2023-03-21 | Project data intelligent management system and method based on digital construction |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115983808A true CN115983808A (en) | 2023-04-18 |
| CN115983808B CN115983808B (en) | 2023-06-13 |
Family
ID=85965204
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310275294.8A Active CN115983808B (en) | 2023-03-21 | 2023-03-21 | Project data intelligent management system and method based on digital construction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115983808B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116384781A (en) * | 2023-06-07 | 2023-07-04 | 中建安装集团有限公司 | Intelligent engineering construction data analysis system and method based on BIM technology |
| CN117349780A (en) * | 2023-12-05 | 2024-01-05 | 凌雄技术(深圳)有限公司 | Warehouse data intelligent identification management and control system and method based on data analysis |
| CN117649210A (en) * | 2024-01-29 | 2024-03-05 | 国网浙江省电力有限公司宁海县供电公司 | Project data management method and management system |
| CN117726307A (en) * | 2024-02-18 | 2024-03-19 | 成都汇智捷成科技有限公司 | Data management method based on business center |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103366249A (en) * | 2013-07-11 | 2013-10-23 | 北京金和软件股份有限公司 | Procedure batch examining and approving tool based on workflow |
| CN110443559A (en) * | 2019-06-04 | 2019-11-12 | 陕西淘丁实业集团有限公司 | A kind of project workflow management method and system |
| CN112883047A (en) * | 2020-10-01 | 2021-06-01 | 曹春华 | Business processing method based on collaborative association authentication and electronic commerce collaboration platform |
| CN115170057A (en) * | 2022-06-06 | 2022-10-11 | 无锡喔趣信息科技有限公司 | OA examination and approval control system and method based on machine learning |
-
2023
- 2023-03-21 CN CN202310275294.8A patent/CN115983808B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103366249A (en) * | 2013-07-11 | 2013-10-23 | 北京金和软件股份有限公司 | Procedure batch examining and approving tool based on workflow |
| CN110443559A (en) * | 2019-06-04 | 2019-11-12 | 陕西淘丁实业集团有限公司 | A kind of project workflow management method and system |
| CN112883047A (en) * | 2020-10-01 | 2021-06-01 | 曹春华 | Business processing method based on collaborative association authentication and electronic commerce collaboration platform |
| CN115170057A (en) * | 2022-06-06 | 2022-10-11 | 无锡喔趣信息科技有限公司 | OA examination and approval control system and method based on machine learning |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116384781A (en) * | 2023-06-07 | 2023-07-04 | 中建安装集团有限公司 | Intelligent engineering construction data analysis system and method based on BIM technology |
| CN116384781B (en) * | 2023-06-07 | 2023-10-24 | 中建安装集团有限公司 | Intelligent engineering construction data analysis system and method based on BIM technology |
| CN117349780A (en) * | 2023-12-05 | 2024-01-05 | 凌雄技术(深圳)有限公司 | Warehouse data intelligent identification management and control system and method based on data analysis |
| CN117349780B (en) * | 2023-12-05 | 2024-02-23 | 凌雄技术(深圳)有限公司 | Warehouse data intelligent identification management and control system and method based on data analysis |
| CN117649210A (en) * | 2024-01-29 | 2024-03-05 | 国网浙江省电力有限公司宁海县供电公司 | Project data management method and management system |
| CN117649210B (en) * | 2024-01-29 | 2024-04-19 | 国网浙江省电力有限公司宁海县供电公司 | Project data management method and management system |
| CN117726307A (en) * | 2024-02-18 | 2024-03-19 | 成都汇智捷成科技有限公司 | Data management method based on business center |
| CN117726307B (en) * | 2024-02-18 | 2024-04-30 | 成都汇智捷成科技有限公司 | Data management method based on business center |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115983808B (en) | 2023-06-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115983808A (en) | Project data intelligent management system and method based on digital construction | |
| CN111737101B (en) | User behavior monitoring method, device, equipment and medium based on big data | |
| CN115545622B (en) | Engineering material storage management system and method based on digital construction | |
| CN112445844B (en) | Financial data management control system of big data platform | |
| CN109409780B (en) | Change processing method, device, computer equipment and storage medium | |
| CN116384781B (en) | Intelligent engineering construction data analysis system and method based on BIM technology | |
| CN117235731B (en) | Big data monitoring and early warning system for secret equipment | |
| CN108595405A (en) | A kind of equipment Monitoring detailed rules and regulations or outline management method | |
| CN115829192B (en) | Digital management system and method for realizing engineering information security supervision | |
| CN114048439B (en) | AI-based safety behavior analysis system and method | |
| CN115760072A (en) | Method and system for item-by-item planned maintenance analysis of aircraft SSI (structural configuration description) full component and storage medium thereof | |
| CN113438248B (en) | Network IP address self-checking management system convenient for master station | |
| CN112463853B (en) | Financial data behavior screening working method through cloud platform | |
| JP7108566B2 (en) | Digital evidence management method and digital evidence management system | |
| CN1588405A (en) | Data processing device and method for risk control system | |
| CN116991863B (en) | Data auxiliary analysis management system and method based on big data | |
| CN114139840A (en) | Data center access compliance verification method and system | |
| CN117829435B (en) | Urban data quality management method and system based on big data | |
| KR102631562B1 (en) | Quality settlement management system | |
| CN116308134B (en) | Audit data online auditing method and system based on data processing | |
| CN117649166B (en) | Logistics information management method and system based on big data | |
| CN110941255B (en) | Fault information management system | |
| CN115600856A (en) | Method, device, equipment and medium for automatically auditing and distributing events | |
| CN117829435A (en) | Urban data quality management method and system based on big data | |
| CN113947366A (en) | Supervision emergency management system based on mobile internet technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |