CN106056357A - Steel structure work installation progress real-time monitoring method and system - Google Patents
Steel structure work installation progress real-time monitoring method and system Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 23
- 239000010959 steel Substances 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012544 monitoring process Methods 0.000 title claims abstract description 8
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Abstract
The present invention relates to a steel structure work installation progress real-time monitoring method and system. The method comprises the following steps: the first step: decomposing a plan into a plurality of project task plans and the types of members such as included A, B and C, etc; the second step: matching the data association onto the model member, and pasting the two-dimensional bar codes on the finished product steel member; the third step: scanning the two-dimensional bar codes and uploading the installation progress data; the fourth step: obtaining the progress data in real time by a server, and storing and excavating the data; the fifth step: determining each sub-project installation task plan by the system; and the sixth step: outputting the project predication progress result, and making specific measure for the on-site construction status. The steel structure work installation progress real-time monitoring method and system can solve the problems that the steel structure work progress is simple and rough in control and bad in effectiveness at this stage so as to realize the progress management and control of the whole work.
Description
Technical field
Patent of the present invention belongs to architectural engineering progress control research and development and application, is specifically related to a kind of structural steelwork peace
Threading degree method of real-time and system, it is intended to solve the most rough, the effective difference of present stage structural steelwork progress control etc.
Problem, thus realize the scientific real-time progress control to project.
Technical background
In recent years, along with structural steelwork application in building structure is more and more extensive, particularly in high-rise, physical culture
In the heavy construction structures such as shop, railway station, terminal, these are in large scale, and the building of version complexity is to project progress pipe
Reason proposes new challenge.But, existing Management of engineering schedule level can not meet the demand of maximization engineering, its prediction
Accuracy is the highest, effective poor, and the latent defects such as technical threshold is high cause scene cannot reasonably formulate construction plan, grasp
Construction speed, Optimizing construction resource and to the construction project time management of whole engineering and control.Therefore, it is achieved to structural steelwork
What installation progress was real-time become more meticulous, information-based prediction seems that lattice are important.
Management of engineering schedule is related to Project Economy Benefit.Due to the complexity of work progress, dynamic, uncertainty etc.
Factor so that in project implementing process, the prediction of progress is very big with control difficulty, and at present for the research shortage of schedule forecasting
Clear and definite definition and effective solution.Therefore the present invention combines fuzzy algorithmic approach and realizes the Forecast reasoning to progress.Fuzzy
Algorithm is a kind of New Algorithm grown up after key concept-membership function that first U.S. doctor L.A.Zadeh proposes.
It does not focus on such as Formal Deduction based on axiom as classical logic or semantic computing based on assignment, but by obscuring
The ordered set of instruction composition, according to the result of execution instruction, produces a kind of algorithm of given problem approximate solution.
The present invention is namely based on above-mentioned background, all develops a kind of structural steelwork installation progress side of monitoring in real time in design
Method and system, structural steelwork installation progress real time informationization is managed and controls by real realization.
Summary of the invention
The problem that the invention aims to solve the existence of following present stage forecast of construction progress:
(1) schedule is abstract, and workload is big.Owing to gunter drawing, network planning figure calculate complexity, understand difficult, its every
Business plan is numerous and complicated in a jumble, to obtain accurate forecast of construction progress, traditional manual mode can only be relied on to carry out progress
The calculation amount of plan, but technical staff can increase the most loaded down with trivial details evaluation work, causes work efficiency to reduce, and loses more than gain.
(2) the most rough, effective poor.It is conventional that the method for tradition schedule forecasting is largely dependent upon project administrator
Field experience, the method for this empirical is the most rough, is easily subject to the impact of subjective factors, lacks scientific theory foundation,
And not from the real-time of progress monitoring, the accuracy causing schedule forecasting is the highest.
For realizing the purpose of the present invention, the present invention specifically provide a kind of structural steelwork installation progress method of real-time and
System.
A kind of based on fuzzy algorithmic approach the structural steelwork installation progress method of real-time of the present invention, it includes walking as follows
Rapid:
The first step: obtain structural steelwork schedule, be broken down into many sub-projects task scheduling and the A, the B that include,
C ... wait element type；
Second step: erection schedule data association is matched on steel construction BIM model component, and on finished steel component, paste two
Dimension bar code；
3rd step: when scene carries out Steel Structure Installation, is entered the two-dimensional bar code in different component type by data acquisition equipment
Row scanning also uploads installation progress data；
4th step: server obtains progress data in real time, and stores data and excavate；
5th step: current each sub-project is installed task scheduling and judged by system, if plan is installed, then this installation current is appointed
Business progression time is the maximum of T installing the beginning and ending timemax；If this plan is not installed, then system carries out K-to acquisition data in real time
S inspection and data distributional analysis, extract feature Fuzzy rule, and when predicting non-installation component target advance by fuzzy algorithmic approach
Between；
6th step: each sub-project erection schedule is obscured progression time and carries out collecting addition, output project forecast progress knot by system
Really, site operation situation is formulated measure targetedly according to schedule forecasting result by project leader.
Described construction program is based on construction project to be built contract provision plan time, determines each sub-project plan
Go into operation and the progression time that completes.
Described two-dimensional bar code is unique mark of information characteristics on arbitrary steel beam column, and it passes through technology of Internet of things, it is achieved right
The management of the real-time progress of component.
Described K-S verifies as a kind of test of goodness of fit, and it, by acquisition progress data is carried out distributional difference analysis, comes
Judge whether progress data result meets the distribution of formulation, thus extract the fuzzy rule of features of construction schedule, realize progress
Prediction.
A kind of structural steelwork installation progress real-time monitoring system based on fuzzy algorithmic approach, described system includes:
Data acquisition module, in order to obtain arbitrary steel beam column installation progress data that data acquisition equipment is uploaded；
In order to the current each sub-project of real-time judge, data judge module, installs whether task scheduling is carried out；
Characteristic extracting module, in order to according to the progress data obtained, is extracted by fuzzy algorithmic approach and potential effective of mining data
Feature and fuzzy rule, and then realize the schedule forecasting of antithetical phrase installation of project task scheduling；
Data outputting module, collects addition in order to each sub-project installation task is obscured progression time, exports project forecast progress
Result.
Described fuzzy algorithmic approach, for data rule being converted into certain distribution by logical reasoning, will fuzzy set data be reflected
Penetrate and determine value for prediction.
The beneficial effects of the present invention is:
1, real-time, the dynamic management of science of structural steelwork progress are realized.The present invention combines 2D bar code technology, passes through Internet of Things
Net makes the progress msg of steel beam column transmit the most accurately, obtains the installation progress of structural steelwork the most in real time.
2, the schedule forecasting pattern that steel construction industry is traditional is changed.Maintenance data Mining Thought of the present invention, real by system
Shi Zidong carries out fuzzy logic analysis to data, provides effective solution for schedule forecasting.
3, become more meticulous analysis and the prediction of progress are conducive to.Compensate for existing schedule forecasting the most rough, effective poor, skill
The defects such as art threshold is high, the intelligentized accuracy that improve forecast of construction progress and science, enrich and expanded progress pipe
The research of reason.
4, industry, the big market demand of enterprise are supported.Along with fast development and the popularization and application of big data, the present invention can be
Enterprise, industry are internally formed complete engineering progress data and analyze system, and its big data mining analysis can promote enterprise, industry letter
Breathization and scientific progress control, thus enterprise, the economic benefit of industry and social benefit further.
Accompanying drawing explanation
Fig. 1 is the system flow chart of the present invention.
Detailed description of the invention
The present invention is further described with case study on implementation below in conjunction with the accompanying drawings:
Case study on implementation flow process: see Fig. 1
A kind of structural steelwork installation progress method of real-time of the present invention and system have put into operation, high-rise with Hangzhou
As a example by project, sketch a kind of structural steelwork installation progress real-time predicting method based on fuzzy algorithmic approach, specifically comprise the following steps that
The first step: system obtains Hangzhou high-rise steel structure construction program, is broken down into many sub-projects task scheduling
Go into operation and complete progression time and the A that includes thereof, B, C ... wait element type
Second step: each sub-project erection schedule data association is matched on steel construction BIM model component by system, plant executive
Finished steel component is pasted the two-dimensional bar code of unique information signature identification；
3rd step: when high-rise project construction scene, Hangzhou carries out Steel Structure Installation, on-the-spot director passes through data acquisition equipment
Two-dimensional bar code in different component type is scanned and uploads installation progress data；
4th step: server obtains progress data in real time, and stores data and excavate；
5th step: current each sub-project is installed task scheduling and judged by system, if plan is installed, then this installation current is appointed
Business progression time is the maximum of T installing the beginning and ending timemax；If this plan is not installed, then system carries out K-to acquisition data in real time
S test of goodness of fit and data distributional analysis, and extract feature Fuzzy rule, predict non-installation component plan by fuzzy algorithmic approach
Progression time；
6th step: each sub-project erection schedule is obscured progression time and carries out collecting addition, output project forecast progress knot by system
Really, site operation situation is formulated measure targetedly according to schedule forecasting result by the high-rise project leader in Hangzhou.
The invention also discloses a kind of structural steelwork installation progress real-time monitoring system based on fuzzy algorithmic approach, described system
System includes:
Data acquisition module, in order to obtain arbitrary steel beam column installation progress data that data acquisition equipment is uploaded；
In order to the current each sub-project of real-time judge, data judge module, installs whether task scheduling is carried out；
Characteristic extracting module, in order to according to the progress data obtained, data rule be converted into certain by logical reasoning and to be distributed,
Extract the validity feature and fuzzy rule existed with mining data, and then the progress realizing antithetical phrase installation of project task scheduling is pre-
Survey；
Data outputting module, collects addition in order to each sub-project installation task is obscured progression time, exports project forecast progress
Result.
The technical threshold that instant invention overcomes the prediction of conventional steel Structural Engineering installation progress is high, and accuracy is low, effective poor
Etc. defect, and a kind of based on fuzzy algorithmic approach the structural steelwork installation progress real-time predicting method of our company's research and development and system,
Precisely in order to solve the problems referred to above and adapt to social reality needs and research and develop, present invention Successful utilization is in company's Project
In, and achieve good Expected Results.
One of case that our company applies the method and system that what the case study on implementation of the present invention was announced is, but be not limited to
This, the R&D personnel of this area, easily according to above-mentioned case study on implementation, understand the Technology Ways of the present invention, and make difference
Amplification and change, but as long as without departing from the implementation path of the present invention and spirit, the most within the scope of the present invention.
Claims (5)
1. a structural steelwork installation progress method of real-time, it is characterised in that it comprises the steps:
The first step: obtain structural steelwork schedule, be broken down into many sub-projects task scheduling and include each
Element type；
Second step: erection schedule data association is matched on steel construction BIM model component, and on finished steel component, paste two
Dimension bar code；
3rd step: when scene carries out Steel Structure Installation, is entered the two-dimensional bar code in different component type by data acquisition equipment
Row scanning also uploads installation progress data；
4th step: server obtains progress data in real time, and stores data and excavate；
5th step: current each sub-project is installed task scheduling and judged by system, if plan is installed, then this installation current is appointed
Business progression time is the maximum of T installing the beginning and ending timemax；If this plan is not installed, then system carries out K-to acquisition data in real time
S inspection and data distributional analysis, extract feature Fuzzy rule, and when predicting non-installation component target advance by fuzzy algorithmic approach
Between；
6th step: each sub-project erection schedule is obscured progression time and carries out collecting addition, output project forecast progress knot by system
Really, site operation situation is formulated measure targetedly according to schedule forecasting result by project leader.
A kind of structural steelwork installation progress method of real-time the most according to claim 1, it is characterised in that described two
Dimension bar code is unique mark of information characteristics on arbitrary steel beam column, and it passes through technology of Internet of things, it is achieved progress real-time to component
Management.
A kind of structural steelwork installation progress real-time predicting method the most according to claim 1, it is characterised in that described K-
S verifies as a kind of test of goodness of fit, and it, by acquisition progress data is carried out distributional difference analysis, judges that progress data is tied
Whether fruit meets the distribution of formulation, thus extracts the fuzzy rule of features of construction schedule, realizes the prediction to progress.
4. a structural steelwork installation progress real-time monitoring system, it is characterised in that described system includes:
Data acquisition module, in order to obtain arbitrary steel beam column installation progress data that data acquisition equipment is uploaded；
In order to the current each sub-project of real-time judge, data judge module, installs whether task scheduling is carried out；
Characteristic extracting module, in order to according to the installation progress data obtained, to extract by fuzzy algorithmic approach and mining data be potential
Validity feature and fuzzy rule, and then realize the schedule forecasting of antithetical phrase installation of project task scheduling；
Data outputting module, collects addition in order to each sub-project installation task is obscured progression time, exports project forecast progress
Result.
A kind of structural steelwork installation progress real-time estimate system the most according to claim 4, it is characterised in that described mould
Stick with paste algorithm for data rule being converted into certain distribution by logical reasoning, fuzzy set data will be mapped as prediction and determine
Value.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107092967A (en) * | 2017-05-27 | 2017-08-25 | 武汉理工大学 | A kind of ship part, EIC equipment identification code tracking system and method |
| CN107688908A (en) * | 2017-09-06 | 2018-02-13 | 北京城乡建设集团有限责任公司 | Study and judge the method and device of construction safety risk |
| CN108320107A (en) * | 2018-02-09 | 2018-07-24 | 北京天元创新科技有限公司 | A kind of web-based task scheduling establishment and execute system and method |
| CN109389358A (en) * | 2018-08-23 | 2019-02-26 | 上海水顿智能科技有限公司 | Project management system and method based on GIS |
| CN110378670A (en) * | 2019-07-17 | 2019-10-25 | 重庆大学 | A kind of spatial network technology model and its construction method and application |
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| CN103337005A (en) * | 2013-05-31 | 2013-10-02 | 中建钢构有限公司 | Management method for engineering progress and cost management system |
| CN104573999A (en) * | 2015-01-30 | 2015-04-29 | 浙江精工钢结构集团有限公司 | Application method of steel structure BIM (building information modeling) information platform |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107092967A (en) * | 2017-05-27 | 2017-08-25 | 武汉理工大学 | A kind of ship part, EIC equipment identification code tracking system and method |
| CN107688908A (en) * | 2017-09-06 | 2018-02-13 | 北京城乡建设集团有限责任公司 | Study and judge the method and device of construction safety risk |
| CN108320107A (en) * | 2018-02-09 | 2018-07-24 | 北京天元创新科技有限公司 | A kind of web-based task scheduling establishment and execute system and method |
| CN109389358A (en) * | 2018-08-23 | 2019-02-26 | 上海水顿智能科技有限公司 | Project management system and method based on GIS |
| CN110378670A (en) * | 2019-07-17 | 2019-10-25 | 重庆大学 | A kind of spatial network technology model and its construction method and application |
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Application publication date: 20161026 |