CN110288137A - Road network grade road infrastructure structure composition Maintenance Decision making method and system - Google Patents
Road network grade road infrastructure structure composition Maintenance Decision making method and system Download PDFInfo
- Publication number
- CN110288137A CN110288137A CN201910501667.2A CN201910501667A CN110288137A CN 110288137 A CN110288137 A CN 110288137A CN 201910501667 A CN201910501667 A CN 201910501667A CN 110288137 A CN110288137 A CN 110288137A
- Authority
- CN
- China
- Prior art keywords
- maintenance
- road
- punishment
- road network
- analysis
- 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
- 238000012423 maintenance Methods 0.000 title claims abstract description 254
- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000004458 analytical method Methods 0.000 claims abstract description 117
- 239000011159 matrix material Substances 0.000 claims abstract description 47
- 238000005457 optimization Methods 0.000 claims abstract description 42
- 238000009826 distribution Methods 0.000 claims abstract description 39
- 230000000694 effects Effects 0.000 claims abstract description 17
- 230000006870 function Effects 0.000 claims description 25
- 238000011156 evaluation Methods 0.000 claims description 18
- 238000011282 treatment Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 5
- 230000008439 repair process Effects 0.000 claims description 5
- 230000001052 transient effect Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 20
- 201000010099 disease Diseases 0.000 description 13
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 13
- 230000008569 process Effects 0.000 description 10
- 238000004891 communication Methods 0.000 description 6
- 238000010276 construction Methods 0.000 description 5
- 230000007547 defect Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000003449 preventive effect Effects 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 239000013256 coordination polymer Substances 0.000 description 3
- 238000000513 principal component analysis Methods 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011418 maintenance treatment Methods 0.000 description 2
- 238000012887 quadratic function Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 241000406668 Loxodonta cyclotis Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 241000287531 Psittacidae Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000037396 body weight Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the present invention provides a kind of road network grade road infrastructure structure composition Maintenance Decision making method and system, which comprises determines analysis object, and obtains the historical data of analysis object, forms the analysis data matrix based on road network degree of collecting；Classification and section distribution statistics are carried out to the historical data of analysis object, obtain road network grade road infrastructure structure general technical status assessment target value；According to analysis data matrix, global optimization objective function, the corresponding weight coefficient of analysis object and the corresponding subitem punishment expense of analysis object, the calculating of comprehensive maintenance decision is carried out, maintenance plan and maintenance timing are obtained；The distribution of carry out fund simultaneously tests to the maintenance effect of maintenance front and back.The embodiment of the present invention is suitable for the comprehensive maintenance decision between the road network grade road infrastructure different parameters of identical road network degree of collecting, the comprehensive maintenance decision being also applied between the road network grade road infrastructure identical parameters of different road network degree of collecting.
Description
Technical field
The present invention relates to technical field of highway maintenance technology, comprehensive more particularly, to a kind of road network grade road infrastructure structure
Close Maintenance Decision making method and system.
Background technique
Highway maintenance decision system is the core of the information-based aspect of highway road infrastructure maintenance, to instructing highway foundation
Maintenance plays important directive function.Highway maintenance decision-making technique has also at home and abroad obtained corresponding development and application.
Following highway maintenance method exists in the prior art:
1) corresponding impact factor is created according to primary data classes, and sample is established by initial data over the years and maintenance process
This Chi Bingzuo normalized and set；It is serialized to having maintenance object, obtains every kind of maintenance process typical value；It establishes
Learning model based on sample data；The data for needing Maintenance Decision making are obtained, maintenance process typical value collection is calculated；To progress
Renormalization obtains optimizing decision maintenance process；
2) disease causes obtained according to causes of disease analysis module provide maintenance Treatment Scheme and period.System according to
Bridge defect characteristic information to be measured and the bridge defect origin cause of formation of Installed System Memory storage carry out analysis comparison, and automatically analyzing to filter out most has
The reason of may cause bridge defect, and provide suitable maintenance Treatment Scheme；
3) normalization for carrying out carrying out section static attribute when Decision making for pavement maintenance is called, and is determined in conjunction with actual road conditions index
The maintenance rank in section carries out classification maintenance to section to improve the accuracy of Maintenance Decision making.
4) in addition to this, Maintenance Decision making method is also: analytic hierarchy process (AHP), CTM Approach, semi-Markov process, can
By property method, decision tree, gradually weighting assessment ratio analysis (SWARA), weighted addition and product assessment (WASPAS), fuzzy axiom
Change design (FAD), additivity than assessment (ARAS) etc..
Existing highway maintenance method has the following problems: road network grade road infrastructure road maintenance programming and existing specification
In conjunction with inadequate, to the research of Maintenance Decision making mode up for further studying, it is more difficult to scientific and rational maintenance plan is obtained, it is difficult
With the Maintenance Decision making between Comprehensive Assessment road network grade road infrastructure structure.
Summary of the invention
The embodiment of the present invention provides a kind of road network grade road for overcoming the above problem or at least being partially solved the above problem
Roadbed Infrastructure structure composition Maintenance Decision making method and system.
In a first aspect, the embodiment of the present invention provides a kind of road network grade road infrastructure structure composition Maintenance Decision making method,
Include:
It determines the analysis object of road network grade road synthetic Maintenance Decision making optimization, and obtains the history number of the analysis object
According to analysis data matrix of the composition based on road network degree of collecting；
Classification and section distribution statistics are carried out to the historical data of the analysis object, obtain road network grade road infrastructure
Structure general technical status assessment target value；
Determine that global optimization objective function, the corresponding weight coefficient of the analysis object and the analysis object are corresponding
Subitem punishment expense；
According to the analysis data matrix, global optimization objective function, the corresponding weight coefficient of analysis object and analysis
The corresponding subitem punishment expense of object carries out the calculating of comprehensive maintenance decision, the result that comprehensive maintenance decision calculates is supplied to use
Family, corresponding road synthetic conserves mode for selection by the user, and it is overall that acquisition meets the road network grade road infrastructure structure
The maintenance plan and maintenance timing of condition state target value；
Determine the maintenance plan and the corresponding maintenance fund distribution assembled scheme of maintenance timing；
Maintenance Decision making effect assessment is carried out to the maintenance plan and maintenance timing；
Wherein, the analysis object includes: the road infrastructure works of similar and different road network degree of collecting, Mei Gejie
Technical parameter corresponding to punishment object and each works corresponding to structure object and its component, component or punishment object；Also
Including the environmental factors such as temperature and humidity, the volume of traffic, rainfall and history maintenance costs；
Wherein, the corresponding weight coefficient of the analysis object includes: the whole weight analyzed in object between each works
Subitem weight coefficient between technical parameter corresponding to coefficient and each works.
Second aspect, the embodiment of the present invention provide a kind of road network grade road infrastructure structure composition Maintenance Decision making system,
Include:
Data acquisition module, for determining the analysis object of road network grade road synthetic Maintenance Decision making optimization, and described in acquisition
The historical data of object is analyzed, the analysis data matrix based on road network degree of collecting is formed；
Data classification statistical module carries out classification and section distribution statistics for the historical data to the analysis object,
Obtain road network grade road infrastructure structure general technical status assessment target value；
Optimization object function, weight and punishment expense determining module, for determining global optimization objective function, the analysis
The corresponding weight coefficient of object and the corresponding subitem punishment expense of the analysis object；
Maintenance Decision making optimization module, for according to the analysis data matrix, global optimization objective function, analysis object pair
The weight coefficient and the corresponding subitem punishment expense of analysis object answered, carry out the calculating of comprehensive maintenance decision, comprehensive maintenance are determined
The result that plan calculates is supplied to user, and corresponding road synthetic conserves mode for selection by the user, and acquisition meets the road network grade
The maintenance plan and maintenance timing of road infrastructure structure general technical status assessment target value；
Maintenance fund distribution module, for determining the maintenance plan and the corresponding maintenance fund distribution combination of maintenance timing
Scheme；
Maintenance Decision making validity check module is commented for carrying out Maintenance Decision making effect to the maintenance plan and maintenance timing
Valence；
Wherein, the analysis object includes: the road infrastructure works of similar and different road network degree of collecting, Mei Gejie
Technical parameter corresponding to punishment object and each works corresponding to structure object and its component, component or punishment object；
Wherein, the corresponding weight coefficient of the analysis object includes: the whole weight analyzed in object between each works
Subitem weight coefficient between technical parameter corresponding to coefficient and each works.
The third aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, is realized when the processor executes described program as first aspect provides
Road network grade road infrastructure structure composition Maintenance Decision making method the step of.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program realizes the road network grade road infrastructure structure as provided by first aspect when the computer program is executed by processor
The step of comprehensive maintenance decision-making technique.
Road network grade road infrastructure structure composition Maintenance Decision making method and system provided in an embodiment of the present invention, are suitable for
Comprehensive maintenance decision between the road network grade road infrastructure different parameters of identical road network degree of collecting, is also applied for different road networks
Comprehensive maintenance decision between the road network grade road infrastructure identical parameters for degree of collecting, can be corresponding with existing road infrastructure
Industry standard, standard or user's definition rule be used in combination, can to road infrastructure works the operation phase both alignments
Aid decision is played the role of in the structural behaviour maintenance on road, set Maintenance Decision making mode, to improve road infrastructure Maintenance Decision making
Science, reasonability and the economy that technology is used in practical projects.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is that the process of road network grade road infrastructure structure composition Maintenance Decision making method provided in an embodiment of the present invention is shown
It is intended to；
Fig. 2 is that the structure of road network grade road infrastructure structure composition Maintenance Decision making system provided in an embodiment of the present invention is shown
It is intended to；
Fig. 3 is the entity structure schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
As shown in Figure 1, being road network grade road infrastructure structure composition Maintenance Decision making method provided in an embodiment of the present invention
Flow diagram, comprising:
Step 100, the analysis object for determining the optimization of road network grade road synthetic Maintenance Decision making, and obtain the analysis object
Historical data forms the analysis data matrix based on road network degree of collecting；
Specifically, it is determined that the analysis object of road network grade road synthetic Maintenance Decision making optimization can be based on existing system data
Or the data that user imports, for example, overall technology situation, component technology situation and structure based on road infrastructure structural bridge
Part technology status.
The analysis object includes but is not limited to: the road infrastructure works of similar and different road network degree of collecting, every
Technology ginseng corresponding to punishment object and each works corresponding to a works and its component, component or punishment object
Number.
Wherein, road network grade road infrastructure works includes: that bridge, tunnel, road surface, roadbed and equipment along road etc. are various
Structure or equipment；
Technical parameter includes: all technicals such as temperature and humidity, rainfall, vehicle flowrate, road quality classification, highway structure；
Punishment object refers to that there are the component of disease, component or structures corresponding to each works.
By taking highway bridge as an example, the punishment object of highway bridge includes: bridge superstructure, substructure, bridge deck etc.
The different type disease that component generates.
After analysis object has been determined, the historical data of the analysis object is obtained, is formed based on road network degree of collecting
Analyze data matrix.
Wherein, the analysis data matrix of the composition based on road network degree of collecting further comprises: by similar and different route
On road infrastructure structure and its component, component or punishment object be combined according to certain rules, generate analysis number
According to matrix.
It is worth noting that, analysis data matrix can going through by the analysis object with time dimension and road network degree of collecting
History data form, and in the embodiment of the present invention, analysis data matrix focuses primarily upon road network degree of collecting.
For the works that quantity determines, the analysis data matrix based on road network degree of collecting is denoted as X (Dt)={ X1111
(Dt),X1112(Dt),…,Xijkl(Dt)…,Xmnpq(Dt)}；
In formula, DtFor road network degree of the collecting combination of t moment, Xijkl(Dt) be expressed as in t moment road network degree of collecting DtIt is interior
The state of the art of first of punishment object of k-th of component corresponding to j-th of parameter of i-th of structure, 1≤i≤m, 1≤j≤
N, 1≤k≤p, 1≤l≤q, 0 < t≤t0, wherein m is the number of types of works, and n is technical parameter number of types, and p is structure
Part number of types, q are punishment object type quantity.
Step 101 carries out classification and section distribution statistics to the historical data of the analysis object, obtains road network grade road
Infrastructure architecture general technical status assessment target value；
Specifically, can according to existing " Highway bridge technique status assessment standard ", " highway technology status assessment standard ",
One of specification such as " highway bridge and culvert design general specification ", " highway tunnel maintenance technical specification " goes through the analysis object
History data are classified, and classification data matrix X is obtainedc(Dt)。
According to class interval range, analyzes the data matrix after data matrix is classified and be denoted as XC(Dt)={ XC1111(Dt),
XC1112(Dt),…,XCijkl(Dt) ..., XCmnpq(Dt), wherein 1≤i≤m, 1≤j≤n, 1≤k≤p, 1≤l≤q, 0 < t≤
t0。
After obtaining classification data matrix, section distribution probability statistics is carried out, for example, classifying for bridge technology status assessment
Section have [95,100], [80,95), [60,80), [40,60), [0,40) etc. five big sections, determine the classification data matrix
The maximum value of corresponding five big parameter distribution proportion, is determined as road network grade road for the maximum value of parameter distribution proportion
Infrastructure architecture general technical status assessment target value.
Probabilistic method in the embodiment of the present invention can be calculated using simple probability, the idealized probability distribution of sample
For normal distribution, if road network degree of collecting D when t momentt, contain r (r=i, j, k, l) a works, component, component or place
Control the data matrix X of object compositionCr(Dt), corresponding total number is NCr(Dt), wherein 1≤i≤m, 1≤j≤n, 1≤k≤p,
1≤l≤q, 0 < t≤t0；Y after data classification, in its respectively class intervalr(Dt) (y is interval number, y=1,
2 ...) a section distribution probability highest, corresponding distributed quantity are ncryr(Dt), then r-th of works, its component, component or place
Control the corresponding general technical status assessment target value X of objectrobj, it can determine as the following formula:
Xrobj=ncryr(Dt)/NCr(Dt)
When carrying out the prediction on time dimension using class interval distribution, corresponding general technical status assessment target value
Also it correspondingly adjusts.
Step 102 determines global optimization objective function, the corresponding weight coefficient of the analysis object and the analysis pair
As corresponding subitem punishment expense；
Specifically, the global optimum's objective optimization used in Maintenance Decision making optimization calculating, may be expressed as:
Wherein, OPTpFor decision optimization calculated value, t is historical data time span, XCselFor from historical data matrix XC
(Dt) in by the formula that repairs a die entirely, upper point of fast preferential punishment mode, focus preferentially punish mode or the selection of user's defining mode to
Optimize data matrix；Cost is maintenance costs relevant to punishment object subitem punishment expense and quantity, wcFor the whole of works
Body weight coefficient, wcsubFor the subitem weight coefficient of each technical parameter.
Wherein, analysis data matrix X to be optimizedCselIt obviously is matrix XCP(Dt) subset, i.e. Xcsel∈XCP(Dt)。
It is worth noting that, for convenience of calculating, XCP(Dt) each subitem matrix data time span in matrix is t0。
Wherein it is determined that the corresponding subitem punishment expense of the analysis object, punishment expense are properly termed as maintenance costs again, support
Shield expense Cost (Dt) accounted for by user's definition and system recommendation two ways.
1) user-defined Cost (Dt)
User-defined Cost (Dt) be contemplated that needed for punishment object of the technical parameter as works in respective members
The punishment expense wanted.Its mathematic sign can be denoted as Costijkl(Dt), meaning characterizes road network degree of the collecting D in t momenttInterior
The unit price of first of punishment object of k-th of component corresponding to j-th of parameter of i structure, 1≤i≤m, 1≤j≤n, 1≤k
≤ p, 1≤l≤q, 0 < t≤t0, wherein m is the number of types of works, and n is technical parameter number of types, and p is element type
Quantity, q are punishment object type quantity.
2) Cost (D of system recommendationt)
Cost (the D of system recommendationt), handle measure, which is comprehensively considered, with punishment unit price is associated with situation and maintenance costs and foundation
Existing road infrastructure performance evaluation specification, the performance parameter interval range of standard setting or user's self-defining conserve grade
Corresponding relationship between interval range.
Wherein, the handle measure is associated with situation with punishment unit price, and system is according to Damage Types, the maintenance for punishing object
The maintenance rate range and applicable road quality classification that measure is applicable in select corresponding Treatment Methods, and provide corresponding construction unit
History maintenance costs range.Wherein construction unit history maintenance costs range is by minimum subitem punishment total cost and highest subitem
The range controlled between total cost determines, wherein minimum subitem punishment total cost is made of minimum flat cost and minimum overhead cost, most
Height subitem punishment total cost is made of highest flat cost and highest overhead cost.
Wherein, the corresponding relationship between the maintenance costs and maintenance grade interval range, it is contemplated that preventive maintenance
After expense, the two is in quadratic function relation, maintenance costs calculation formula are as follows:
In formula, CostrFor a works of r (r=i, j, k, l) and its component, component or the maintenance costs for punishing object
Unit price, CsrFor maintenance grade locating for a works of r (r=i, j, k, l) and its component, component or punishment object, CpmrFor
A works of r (r=i, j, k, l) and its component, component or the preventive maintenance expense for punishing object, ar、brAnd cr(r=i,
J, k, l) it is respectively quadratic function coefficient, it can be fitted according to the actual situation and be obtained by user.
Determine the corresponding weight coefficient of the analysis object, here, weight coefficient includes the whole weight coefficient of works
With the subitem weight coefficient of each technical parameter.
Itemize weight coefficient w between parametercsub=[wcsub1,wcsub2,…,wcsubi,…,wcsubn]；
Wherein n is number of parameters, wcsubiIndicate i-th of parameters weighting coefficient.
The whole weight coefficient matrix w of worksc=[wc1,wc2,…,wci,…,wcm]；
Wherein, m is road infrastructure works quantity, wciIndicate i-th of works weight.For example, for existing
In " highway technology status assessment standard " JTG 5210 specification, containing bridge tunnel, road surface, roadbed and equipment along road, then it is denoted as matrix
Form is wc=[wcB,wcP,wcS,wcRF], correspondingly, weight coefficient takes w respectivelycB=0.15, wcP=0.70；wcS=0.08；
wcRF=0.07.
The corresponding weight coefficient of analysis object can be determined using Principal Component Analysis, can also be determined using other methods
Analyze the corresponding weight coefficient of object, the embodiment of the present invention to this with no restriction.
Step 103, according to the analysis data matrix, global optimization objective function, the corresponding weight coefficient of analysis object
And the corresponding subitem punishment expense of analysis object, carry out the calculating of comprehensive maintenance decision, the result that comprehensive maintenance decision is calculated
It is supplied to user, corresponding road synthetic conserves mode for selection by the user, and acquisition meets the road network grade road infrastructure
The maintenance plan and maintenance timing of structure general technical status assessment target value.
Specifically, the calculating factor considered in Maintenance Decision making calculating process has: the analysis data matrix, global optimization mesh
Scalar functions, the corresponding weight coefficient of analysis object and the corresponding subitem punishment expense of analysis object.
The result of Maintenance Decision making optimization are as follows: meet the road network grade road infrastructure structure general technical status assessment mesh
The maintenance plan and maintenance timing of scale value.
The maintenance plan and maintenance timing are obtained for optimization, road synthetic maintenance mode need to be determined in advance in user, wherein
Maintenance mode mainly includes that repair a die full formula, upper point of fast preferential punishment mode and a focus preferentially punishes mode.
A) Quan Xiumo formula
As long as the full formula of repairing a die thinks to produce treated object defect information, it can take handle measure.
When the disease quantity for punishing object in items selection object is greater than 0, the automatic accumulation calculating subitem punishment expense of system
With, and select to generate time point corresponding to disease as punishment opportunity, calculation formula are as follows:
XCselr(Dt)=sort { ∑ (Costr1(Dt)·Nr1(Dt)) (r=i, j, k, l) (3)
X in formulaCselr(Dt) (r=i, j, k, l) be the item limited according to calculation formula in sort and constraint condition s.t.
Works and its component of the part based on road network degree of collecting, component or punish object Damage Types and its quantity corresponding to the overall situation
Optimization object function value；Costr1(Dt) (r=i, j, k, l) be works and its component, component or the Damage Types for punishing object
The subitem of corresponding Board Lot punishes expense；Nr1(Dt) (t=i, j, k, l) be works and its component, component or punishment pair
The corresponding quantity of the Damage Types of elephant；Sort indicates that selection generates opportunity point and its corresponding subitem punishment expense corresponding to disease
With the process with quantity information.
B) point fast preferential punishment mode on
The Fundamentals that upper point of fast preferential punishment mode considers include: current technology state grade；General technical situation etc.
Grade；Subitem weight coefficient；Disease quantity；Punishment unit price.
Upper point of fast preferential punishment model selection analysis object can carry out as the following formula calculating determination:
X in formulaCselr(Dt) (r=i, j, k, l) be works and its component, component or punishment based on road network degree of collecting
Opportunity is punished in maintenance corresponding to the Damage Types and its quantity of object；Costr1(Dt) (r=i, j, k, l) be works and its
The subitem of the corresponding Board Lot of Damage Types of component, component or punishment object punishes expense；Nr1(Dt) (r=i, j, k, l)
For works and its component, component or the corresponding quantity of Damage Types for punishing object；Xr(Dt) (r=i, j, k, l) expression structure
Object and its component, component punish the corresponding historical data of Damage Types of object and the technical parameter condition of prediction data；
Xrobj(Dt) (r=i, j, k, l) indicate works and its component, component or the corresponding historical data of Damage Types for punishing object
General technical parameter status target value；wrc(Dt) (r=i, j, k, l) indicate works and its component, component or punishment object
The corresponding weight coefficient of Damage Types；When maxsort indicates to calculate corresponding to generation disease according to the interior formula of bracket " { } "
Between put and its corresponding subitem punishment expense and quantity information and by XCselr(Dt) (r=i, j, k, l) mistake for sorting from large to small
Journey.
Particularly, current techniques parameter status value X in the selection mode functionr(Dt) (r=i, j, k, l) and its overall mesh
Scale value Xrobj(Dt) (r=i, j, k, l) difference, multiplied by its corresponding parameters weighting coefficient wrc(Dt) (r=i, j, k, l) characterization
Maintenance effect is higher, and maintenance cost-benefit is better；The subitem of Board Lot different diseases type punishes expense Costr1
(Dt) (r=i, j, k, l) and unit Damage Types quantity Nr1(Dt) (r=i, j, k, l) to characterize maintenance cost lower, it supports
It is better to protect cost-benefit.
Wherein, the general technical parameter status target value can be by the works and its component, structure after probability statistics
Part or the maximum general technical situation distributed area value for punishing object disease or user-defined target value are as technology status mesh
Scale value.For example, the class interval according to specification classifies to initial data, the five major class parameter distributions that probability statistics are obtained
Shared maximum ratio is determined as the corresponding general technical status assessment value of data after data classification.
C) focus preferentially punishes mode
The basic options that focus preferentially punishes mode includes:
Bo.1: superstructure component is preferentially punished；
Bo.2: substructure component is preferentially punished；
Bo.3: bridge deck component is preferentially punished；
Bo.4: bridge deck component+superstructure component is preferentially punished；
Bo.5: bridge deck component+substructure component is preferentially punished；
Bo.6: superstructure component+substructure component is preferentially punished；
Bo.7:5 class (or poor) is preferentially punished；
Bo.8:4 class (or secondary) is preferentially punished；
Bo.9:3 class (in or) is preferentially punished；
Bo.10:2 class (or good) is preferentially punished；
Bo.11:1 class (or excellent) is preferentially punished；
Bo.12: preventive maintenance punishment；
+ 4 class (or secondary) of bo.13:5 class (or poor) is preferentially punished；
+ 3 class (in or) of+4 class (or secondary) of bo.14:5 class (or poor) is preferentially punished；
+ 2 class (or good) of+3 class (in or) of+4 class (or secondary) of bo.15:5 class (or poor) is preferentially punished；
+ 1 class (or excellent) of+2 class (or good) of bo.16:5 class (or poor)+3 class (in or) of+4 class (or secondary) is preferentially punished.
Preferentially the mode of punishing can carry out as the following formula calculating determination to focus:
X in formulaCselr(Dt) (r=i, j, k, l) be the item limited according to calculation formula in sort and constraint condition s.t.
It is right that part selects to obtain works and its component, the Damage Types of component or punishment object and its quantity institute based on road network degree of collecting
The target data matrix answered；Costr1(Dt) (r=i, j, k, l) be works and its component, component or the disease class for punishing object
The subitem of the corresponding Board Lot of type punishes expense；Nr1(Dt) (t=i, j, k, l) be works and its component, component or punishment
The corresponding quantity of the Damage Types of object；Sort indicates that selection generates opportunity point corresponding to disease and its punishment of corresponding subitem
The process of expense and quantity information；S.t.bo.1~bo.15 expression selects one of constraint condition bo.1~bo.15 as pass
The selection gist that note point is preferentially punished.
In embodiments of the present invention, user is for highway structure, technical parameter, treated object etc. from entirety to part
The requirement of expansion is refined, selection is based on formula, upper point of fast preferentially punishment mode and focus preferentially three kinds of punishment mode etc. that repair a die entirely
One of Maintenance Decision making model is used as decision-making mode.
Step 104 determines the maintenance plan and the corresponding maintenance fund distribution assembled scheme of maintenance timing.
Specifically, according in treated unit information table Treatment Methods, unit valuation, handle measure and handle measure with
It punishes and is treated unit situation grade, applicable condition state, applicable road quality classification, specification regulation in monovalent contingency table
Or the distribution combination of maintenance fund is calculated by the treated unit weight etc. that Principal Component Analysis obtains, wherein punishment side
The punishment principle of method can select Treatment Methods or same treated cell type from small to large according to same treated cell type
Treatment Methods are selected to determine from big to small.
Handle measure consider factor include: punishment number, punishment object, Treatment Methods, applicable elements, material requested,
Suitable structures type, specific maintenance measure, applicable technology status, applicable road quality classification.
The factor that punishment unit price considers: history punish the beginning and ending time, treated cell type, Treatment Methods, valuation unit,
Annual flat cost unit price, historical low flat cost unit price, historical high flat cost unit price.
Handle measure and the factor for punishing monovalent contingency table consideration include: punishment number, treated cell type, punishment side
The applicable maintenance rate range of method, construction unit history maintenance costs range, maintenance measure and applicable road quality classification.
Wherein, construction unit history maintenance costs range includes: minimum flat cost, highest flat cost, minimum overhead cost, most
High overhead cost；
The applicable maintenance rate range of maintenance measure include: preventive maintenance, 1 class (or excellent), 2 classes (or good), 3 classes (or
In), 4 classes (or secondary), 5 classes (or poor)；
Applicable road quality classification includes: highway, substandard highway, Class I highway, Class II highway, Class III highway, level Four
Highway；
Correspond to model between maintenance costs and technology status section: punishment number, treated cell type, Treatment Methods,
Construction unit history maintenance costs range, maintenance measure applicable maintenance rate range and applicable road quality classification etc.；
The factor that the distribution of maintenance fund considers includes: comprehensive maintenance decision optimization object group, comprehensive maintenance object group weight
Coefficient, each subitem punishment expense for conserving object group, global optimization objective function, maintenance fund distribution combination, project choosing
Select route allocation locating for object group, items selection object, time, overall technology situation, subitem weight coefficient, treated unit
Situation grade, treated element number, Treatment Methods, punishment unit price, punishment degree urgency, preferential distribution object, distribution side
Formula, total maintenance cost have distributed maintenance cost, remaining maintenance cost.
The object combined in maintenance fund distribution combination includes overall technology situation, subitem weight coefficient, is treated
The items such as unit situation grade, treated element number, Treatment Methods, punishment unit price, punishment degree urgency, preferential distribution object
Part supports the selection method of salary distribution under a kind of condition or a variety of conditional combinations.
Step 105 carries out Maintenance Decision making effect assessment to the maintenance plan and maintenance timing.
Specifically, the step of carrying out Maintenance Decision making effect assessment to the maintenance plan and maintenance timing further comprises:
Maintenance Decision making Effect Evaluation Index System is established, and determines the weight of each evaluation index in the assessment indicator system
Coefficient；
Maintenance object is chosen, the corresponding evaluation index data of the maintenance object are obtained, according to the evaluation index data
With the weight coefficient of each evaluation index, calculates and obtain the corresponding Maintenance Decision making effect assessment result of the maintenance object；
Wherein, the evaluation index in the Maintenance Decision making Effect Evaluation Index System include: parameter overall state, it is locating support
Shield stage, road produce appreciation rate and user satisfaction.
Wherein, it is to conserve the road Hou Jing to produce total value and conserve the ratio that the road Qian Jing produces total value that road, which produces appreciation rate,.If its value is equal to l
Indicate that road produces value preserving；Indicate that road produces increment greater than 1；
User satisfaction includes user to maintenance front and back parameter status, mass defect situation, safety and comfort degree and service
Deng satisfaction.
Parameter overall state includes conserving population parameter shape before conserving population parameter situation and Maintenance Decision making after Maintenance Decision making
Condition.
It is worth noting that the maintenance stage includes maintenance structure and its component, component or punishment object after Maintenance Decision making
The overall locating maintenance rank of structure and its component, component or punishment object was conserved before the maintenance stage and Maintenance Decision making locating for totality
Section.
Determine the weight coefficient of each evaluation index in the assessment indicator system using Principal Component Analysis.It, which is used, to the greatest extent may be used
Can few index reflect the feature of theme, but the too many information of primal variable will not be lost again, substantially to variable into
Row dimension-reduction treatment.Its key step includes:
(1) N is selectedpThe N row sample value (N of a parameter indexp≤N)；
(2) each index average μ is calculatedi(i=1,2 ... Np), standard deviation sigmai(i=1,2 ... Np), covariance matrix R=
[rij]；
(3) eigenvalue λ of covariance matrix R is calculatedi(i=1,2 ... Np) and feature vector φi=[φ1i φ2i …
φpi]T；
(4) characteristic value is arranged from big to small, effective number is found out in examination, so that the sum of the sum of characteristic value and covariance matrix
Ratio be greater than calculate contribution rate, such as 0.85, i.e.,
Road network grade road infrastructure structure composition Maintenance Decision making method provided in an embodiment of the present invention, suitable for mutually going the same way
Comprehensive maintenance decision between the road network grade road infrastructure different parameters of net degree of collecting, is also applied for different road network degree of collecting
Road network grade road infrastructure identical parameters between comprehensive maintenance decision, can industry corresponding with existing road infrastructure
Specification, standard or user's definition rule are used in combination, can to road infrastructure works the operation phase given line, set
Aid decision is played the role of in the structural behaviour maintenance of Maintenance Decision making mode, to improve road infrastructure Maintenance Decision making technology in reality
Science, reasonability and the economy used in the engineering of border.
As shown in Fig. 2, being road network grade road infrastructure structure composition Maintenance Decision making system provided in an embodiment of the present invention
Structural schematic diagram, comprising: data acquisition module 201, data classification statistical module 202, objective function, weight and punishment expense
Determining module 203, Maintenance Decision making optimization module 204 conserve fund distribution module 205 and Maintenance Decision making validity check module 206,
Wherein,
Data acquisition mould 201, for determining the analysis object of road network grade road synthetic Maintenance Decision making optimization, and described in acquisition
The historical data of object is analyzed, the analysis data matrix based on road network degree of collecting is formed；
Data classification statistical module 202 carries out classification and section distribution system for the historical data to the analysis object
Meter obtains road network grade road infrastructure structure general technical status assessment target value；
Objective function, weight and punishment expense determining module 203, for determining global optimization objective function, the analysis
The corresponding weight coefficient of object and the corresponding subitem punishment expense of the analysis object；
Maintenance Decision making optimization module 204, for according to the analysis data matrix, global optimization objective function, analysis pair
As corresponding weight coefficient and the corresponding subitem punishment expense of analysis object, the calculating of comprehensive maintenance decision is carried out, is supported comprehensive
The result that shield decision calculates is supplied to user, and corresponding road synthetic conserves mode for selection by the user, and acquisition meets the road
The maintenance plan and maintenance timing of net grade road infrastructure structure general technical status assessment target value；
Maintenance fund distribution module 205, for determining the maintenance plan and the corresponding maintenance fund distribution of maintenance timing
Assembled scheme；
Maintenance Decision making validity check module 206, for carrying out Maintenance Decision making effect to the maintenance plan and maintenance timing
Evaluation；
Wherein, the analysis object includes: the road infrastructure works of similar and different road network degree of collecting, Mei Gejie
Technical parameter corresponding to punishment object and each works corresponding to structure object and its component, component or punishment object；
Wherein, the corresponding weight coefficient of the analysis object includes: the whole weight analyzed in object between each works
Subitem weight coefficient between technical parameter corresponding to coefficient and each works.
Road network grade road infrastructure comprehensive maintenance decision system is used to execute the road network grade road in above method embodiment
Roadbed Infrastructure comprehensive maintenance decision-making technique.Therefore, the description and definition in aforementioned approaches method embodiment, can be used for this hair
The understanding of road network grade road infrastructure comprehensive maintenance decision system in bright embodiment, details are not described herein.
Road network grade road infrastructure structure composition Maintenance Decision making system provided in an embodiment of the present invention, suitable for mutually going the same way
Comprehensive maintenance decision between the road network grade road infrastructure different parameters of net degree of collecting, is also applied for different road network degree of collecting
Road network grade road infrastructure identical parameters between comprehensive maintenance decision, can industry corresponding with existing road infrastructure
Specification, standard or user's definition rule are used in combination, can to road infrastructure works the operation phase given line, set
Aid decision is played the role of in the structural behaviour maintenance of Maintenance Decision making mode, to improve road infrastructure Maintenance Decision making technology in reality
Science, reasonability and the economy used in the engineering of border.
Fig. 3 is the entity structure schematic diagram of electronic equipment provided in an embodiment of the present invention, as shown in figure 3, the electronic equipment
It may include: processor (processor) 310,320, memory communication interface (Communications Interface)
(memory) 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 pass through communication bus 340
Complete mutual communication.Processor 310 can call the meter that is stored on memory 330 and can run on processor 310
Calculation machine program, to execute road network grade road infrastructure structure composition Maintenance Decision making side provided by above-mentioned each method embodiment
Method, for example, determine the analysis object of road network grade road synthetic Maintenance Decision making optimization, and obtain the history of the analysis object
Data form the analysis data matrix based on road network degree of collecting；
Classification and section distribution statistics are carried out to the historical data of the analysis object, obtain road network grade road infrastructure
Structure general technical status assessment target value；
Determine that global optimization objective function, the corresponding weight coefficient of the analysis object and the analysis object are corresponding
Subitem punishment expense；
According to the analysis data matrix, global optimization objective function, the corresponding weight coefficient of analysis object and analysis
The corresponding subitem punishment expense of object carries out the calculating of comprehensive maintenance decision, the result that comprehensive maintenance decision calculates is supplied to use
Family, corresponding road synthetic conserves mode for selection by the user, and it is overall that acquisition meets the road network grade road infrastructure structure
The maintenance plan and maintenance timing of condition state target value；Determine the maintenance plan and the corresponding maintenance money of maintenance timing
Gold distribution assembled scheme；Maintenance Decision making effect assessment is carried out to the maintenance plan and maintenance timing；Wherein, the analysis object
It include: the road infrastructure works of similar and different road network degree of collecting, punishment object corresponding to each works, and
Technical parameter corresponding to each works and its component, component or punishment object；Wherein, the corresponding weight of the analysis object
Coefficient include: technical parameter corresponding to the whole weight coefficient and each works analyzed in object between each works it
Between subitem weight coefficient.
In addition, the logical order in above-mentioned memory 330 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
The technical solution of the inventive embodiments substantially part of the part that contributes to existing technology or the technical solution in other words
It can be expressed in the form of software products, which is stored in a storage medium, including some instructions
With so that computer equipment (can be personal computer, server or the network equipment an etc.) execution present invention is each
The all or part of the steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk
Etc. the various media that can store program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
The computer program realizes that above-mentioned each method embodiment provides road network grade road infrastructure structure when being executed by processor is comprehensive
Close Maintenance Decision making method, for example, determine the analysis object of road network grade road synthetic Maintenance Decision making optimization, and obtain described point
The historical data of object is analysed, the analysis data matrix based on road network degree of collecting is formed；To it is described analysis object historical data into
Row classification and section distribution statistics, obtain road network grade road infrastructure structure general technical status assessment target value；It determines complete
Office's optimization object function, the corresponding weight coefficient of the analysis object and the corresponding subitem punishment expense of the analysis object；
It is corresponding according to the analysis data matrix, global optimization objective function, the corresponding weight coefficient of analysis object and analysis object
Subitem punish expense, carry out the calculating of comprehensive maintenance decision, the result that comprehensive maintenance decision calculates is supplied to user, for
Family selects corresponding road synthetic to conserve mode, and acquisition meets the road network grade road infrastructure structure general technical situation and comments
The maintenance plan and maintenance timing of target value；Determine the maintenance plan and the corresponding maintenance fund distribution combination of maintenance timing
Scheme；Maintenance Decision making effect assessment is carried out to the maintenance plan and maintenance timing；Wherein, the analysis object includes: difference
Or the road infrastructure works of identical road network degree of collecting, punishment object and each structure corresponding to each works
Technical parameter corresponding to object and its component, component or punishment object；Wherein, the corresponding weight coefficient packet of the analysis object
It includes: point between technical parameter corresponding to the whole weight coefficient and each works in analysis object between each works
Item weight coefficient.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of road network grade road infrastructure structure composition Maintenance Decision making method characterized by comprising
It determines the analysis object of road network grade road synthetic Maintenance Decision making optimization, and obtains the historical data of the analysis object, group
At the analysis data matrix based on road network degree of collecting；
Classification and section distribution statistics are carried out to the historical data of the analysis object, obtain road network grade road infrastructure structure
General technical status assessment target value；
Determine global optimization objective function, the corresponding weight coefficient of the analysis object and the corresponding subitem of the analysis object
Punishment expense；
According to the analysis data matrix, global optimization objective function, the corresponding weight coefficient of analysis object and analysis object
Corresponding subitem punishment expense carries out the calculating of comprehensive maintenance decision, the result that comprehensive maintenance decision calculates is supplied to user, with
Corresponding road synthetic is selected to conserve mode for user, acquisition meets the road network grade road infrastructure structure general technical shape
The maintenance plan and maintenance timing of condition evaluating target value；
Determine the maintenance plan and the corresponding maintenance fund distribution assembled scheme of maintenance timing；
Maintenance Decision making effect assessment is carried out to the maintenance plan and maintenance timing；
Wherein, the analysis object includes: the road infrastructure works of similar and different road network degree of collecting, each works
Technical parameter corresponding to corresponding punishment object and each works and its component, component or punishment object；
Wherein, the corresponding weight coefficient of the analysis object includes: the whole weight coefficient analyzed in object between each works,
And the subitem weight coefficient between technical parameter corresponding to each works.
2. the method according to claim 1, wherein the analysis data matrix of the composition based on road network degree of collecting
Further comprise:
By the road infrastructure structure and its component, component on similar and different route or punish object according to certain rules
It is combined, generates analysis data matrix.
3. the method according to claim 1, wherein described conserve the maintenance plan and maintenance timing
The step of decision-making results is evaluated, specifically:
Maintenance Decision making Effect Evaluation Index System is established, and determines the weight system of each evaluation index in the assessment indicator system
Number；
Maintenance object is chosen, the corresponding evaluation index data of the maintenance object are obtained, according to the evaluation index data and respectively
The weight coefficient of evaluation index calculates and obtains the corresponding Maintenance Decision making effect assessment result of the maintenance object；
Wherein, the evaluation index in the Maintenance Decision making Effect Evaluation Index System includes: parameter overall state, locating maintenance rank
Section, road produce appreciation rate and user satisfaction.
4. the method according to claim 1, wherein the road synthetic maintenance mode include: entirely repair a die formula, on
Fast preferential punishment mode and focus is divided preferentially to punish mode.
5. the method according to claim 1, wherein the global optimization objective function specifically:
Wherein, OPTpFor decision optimization calculated value, t is historical data time span, XCselFor from historical data matrix XC(Dt) in
The number to be optimized of mode or the selection of user's defining mode is preferentially punished by the formula that repairs a die entirely, upper point of fast preferential punishment mode, focus
According to matrix；Cost is maintenance costs relevant to punishment object subitem punishment expense and quantity, wcFor the whole weight of works
Coefficient, wcsubFor the subitem weight coefficient of each technical parameter.
6. the method according to claim 1, wherein determining that the corresponding subitem punishment expense of analysis object includes:
Comprehensively consider and punish expense required for punishment object of the technical parameter of works in respective members, handle measure with
Punishment unit price association situation, maintenance costs are joined with according to existing road infrastructure performance evaluation specification or the performance of standard setting
It is corresponding to calculate acquisition analysis object for corresponding relationship between number interval range or user's self-defining maintenance grade interval range
Subitem punishment expense.
7. the method according to claim 1, wherein the determination maintenance plan and maintenance timing are corresponding
Maintenance fund distributes the step of assembled scheme, specifically:
According in treated unit information table Treatment Methods, unit valuation, handle measure, handle measure with punishment unit price be associated with
Unit situation grade, applicable condition state, applicable road quality classification, specification regulation and treated list are treated in table
Maintenance fund distribution assembled scheme is calculated in first weight.
8. a kind of road network grade road infrastructure structure composition Maintenance Decision making system characterized by comprising
Data acquisition module for determining the analysis object of road network grade road synthetic Maintenance Decision making optimization, and obtains the analysis
The historical data of object forms the analysis data matrix based on road network degree of collecting；
Data classification statistical module carries out classification and section distribution statistics for the historical data to the analysis object, obtains
Road network grade road infrastructure structure general technical status assessment target value；
Objective function, weight and punishment expense determining module, for determining that global optimization objective function, the analysis object are corresponding
Weight coefficient and the corresponding subitem punishment expense of the analysis object；
Maintenance Decision making optimization module, for corresponding according to the analysis data matrix, global optimization objective function, analysis object
Weight coefficient and the corresponding subitem punishment expense of analysis object, carry out the calculating of comprehensive maintenance decision, by comprehensive maintenance decision meter
The result of calculation is supplied to user, and corresponding road synthetic conserves mode for selection by the user, and acquisition meets the road network grade road
The maintenance plan and maintenance timing of infrastructure architecture general technical status assessment target value；
Maintenance fund distribution module, for determining the maintenance plan and maintenance timing corresponding maintenance fund distribution combination side
Case；
Maintenance Decision making validity check module, for carrying out Maintenance Decision making effect assessment to the maintenance plan and maintenance timing；
Wherein, the analysis object includes: the road infrastructure works of similar and different road network degree of collecting, each works
Technical parameter corresponding to corresponding punishment object and each works and its component, component or punishment object；
Wherein, the corresponding weight coefficient of the analysis object includes: the whole weight coefficient analyzed in object between each works,
And the subitem weight coefficient between technical parameter corresponding to each works.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor realizes the road network grade as described in any one of claim 1 to 7 when executing described program
The step of road infrastructure structure composition Maintenance Decision making method.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
Realize that the road infrastructure structure composition of road network grade conserves as described in any one of claim 1 to 7 when program is executed by processor
The step of decision-making technique.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910501667.2A CN110288137B (en) | 2019-06-11 | 2019-06-11 | Road network level road infrastructure structure comprehensive maintenance decision method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910501667.2A CN110288137B (en) | 2019-06-11 | 2019-06-11 | Road network level road infrastructure structure comprehensive maintenance decision method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110288137A true CN110288137A (en) | 2019-09-27 |
| CN110288137B CN110288137B (en) | 2021-12-28 |
Family
ID=68003715
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910501667.2A Active CN110288137B (en) | 2019-06-11 | 2019-06-11 | Road network level road infrastructure structure comprehensive maintenance decision method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110288137B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110826779A (en) * | 2019-10-24 | 2020-02-21 | 交通运输部路网监测与应急处置中心 | Road network level bridge tunnel maintenance method, device and storage medium |
| CN111160728A (en) * | 2019-12-09 | 2020-05-15 | 华南农业大学 | Road and bridge maintenance decision optimization method and device |
| CN112613681A (en) * | 2020-12-29 | 2021-04-06 | 上海同陆云交通科技有限公司 | Road network low-energy-consumption full-life-cycle maintenance scheme optimization method |
| CN112906919A (en) * | 2021-03-10 | 2021-06-04 | 招商局重庆交通科研设计院有限公司 | Method for determining optimal implementation time of pavement preventive maintenance |
| CN113077130A (en) * | 2021-03-19 | 2021-07-06 | 中铁大桥局集团有限公司 | Bridge maintenance decision-making method based on dynamic planning method |
| CN117094703A (en) * | 2023-10-17 | 2023-11-21 | 深圳市城市交通规划设计研究中心股份有限公司 | Road network maintenance sequence determining method for road cracks |
| CN117273477A (en) * | 2023-08-16 | 2023-12-22 | 湖北交投智能检测股份有限公司 | Asphalt highway pavement maintenance decision method, device, equipment and storage medium |
| CN117495151A (en) * | 2023-09-19 | 2024-02-02 | 中科微易(苏州)智能科技有限公司 | Automatic quality assessment method and system for highway engineering |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102262702A (en) * | 2011-08-02 | 2011-11-30 | 湖南省交通规划勘察设计院 | Decision-making method for maintaining middle and small span concrete bridges |
| US20120080930A1 (en) * | 2009-01-22 | 2012-04-05 | Keystone Engineering & Manufacturing Corporation | Cutter with diamond bit tip |
| CN109697515A (en) * | 2018-12-28 | 2019-04-30 | 深圳高速工程顾问有限公司 | Pavement of road management method, device, storage medium and computer equipment |
| CN109711722A (en) * | 2018-12-26 | 2019-05-03 | 江苏北极星交通产业集团有限公司 | A kind of net grade road maintenance management decision system |
| CN109753745A (en) * | 2019-01-14 | 2019-05-14 | 深圳市市政设计研究院有限公司 | A kind of Road Detection and appraisal procedure based on BIM and technology of Internet of things |
| CN109767086A (en) * | 2018-12-26 | 2019-05-17 | 江西秀川科技有限公司 | A kind of Trunk highway pavement of road technology status intelligent decision system |
-
2019
- 2019-06-11 CN CN201910501667.2A patent/CN110288137B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120080930A1 (en) * | 2009-01-22 | 2012-04-05 | Keystone Engineering & Manufacturing Corporation | Cutter with diamond bit tip |
| CN102262702A (en) * | 2011-08-02 | 2011-11-30 | 湖南省交通规划勘察设计院 | Decision-making method for maintaining middle and small span concrete bridges |
| CN109711722A (en) * | 2018-12-26 | 2019-05-03 | 江苏北极星交通产业集团有限公司 | A kind of net grade road maintenance management decision system |
| CN109767086A (en) * | 2018-12-26 | 2019-05-17 | 江西秀川科技有限公司 | A kind of Trunk highway pavement of road technology status intelligent decision system |
| CN109697515A (en) * | 2018-12-28 | 2019-04-30 | 深圳高速工程顾问有限公司 | Pavement of road management method, device, storage medium and computer equipment |
| CN109753745A (en) * | 2019-01-14 | 2019-05-14 | 深圳市市政设计研究院有限公司 | A kind of Road Detection and appraisal procedure based on BIM and technology of Internet of things |
Non-Patent Citations (1)
| Title |
|---|
| 侯芸，董元帅: "基于层次分析的高等级沥青路面养护决策研究", 《内蒙古公路与运输》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110826779A (en) * | 2019-10-24 | 2020-02-21 | 交通运输部路网监测与应急处置中心 | Road network level bridge tunnel maintenance method, device and storage medium |
| CN111160728A (en) * | 2019-12-09 | 2020-05-15 | 华南农业大学 | Road and bridge maintenance decision optimization method and device |
| CN111160728B (en) * | 2019-12-09 | 2023-05-23 | 华南农业大学 | Road and bridge maintenance decision optimization method and device |
| CN112613681B (en) * | 2020-12-29 | 2022-03-08 | 上海同陆云交通科技有限公司 | Road network low-energy-consumption full-life-cycle maintenance scheme optimization method |
| CN112613681A (en) * | 2020-12-29 | 2021-04-06 | 上海同陆云交通科技有限公司 | Road network low-energy-consumption full-life-cycle maintenance scheme optimization method |
| CN112906919A (en) * | 2021-03-10 | 2021-06-04 | 招商局重庆交通科研设计院有限公司 | Method for determining optimal implementation time of pavement preventive maintenance |
| CN113077130A (en) * | 2021-03-19 | 2021-07-06 | 中铁大桥局集团有限公司 | Bridge maintenance decision-making method based on dynamic planning method |
| CN113077130B (en) * | 2021-03-19 | 2024-02-27 | 中铁大桥局集团有限公司 | Bridge maintenance decision method based on dynamic planning method |
| CN117273477A (en) * | 2023-08-16 | 2023-12-22 | 湖北交投智能检测股份有限公司 | Asphalt highway pavement maintenance decision method, device, equipment and storage medium |
| CN117495151A (en) * | 2023-09-19 | 2024-02-02 | 中科微易(苏州)智能科技有限公司 | Automatic quality assessment method and system for highway engineering |
| CN117495151B (en) * | 2023-09-19 | 2024-04-26 | 中科微易(苏州)智能科技有限公司 | Automatic quality assessment method and system for highway engineering |
| CN117094703A (en) * | 2023-10-17 | 2023-11-21 | 深圳市城市交通规划设计研究中心股份有限公司 | Road network maintenance sequence determining method for road cracks |
| CN117094703B (en) * | 2023-10-17 | 2024-03-26 | 深圳市城市交通规划设计研究中心股份有限公司 | Road network maintenance sequence determining method for road cracks |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110288137B (en) | 2021-12-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110288137A (en) | Road network grade road infrastructure structure composition Maintenance Decision making method and system | |
| CN110288210A (en) | Project level road infrastructure comprehensive maintenance decision-making technique and system | |
| CN106991506A (en) | Intelligent terminal and its stock trend forecasting method based on LSTM | |
| Jablonsky | Measuring the efficiency of production units by AHP models | |
| CN109376935B (en) | Bus passenger flow time interval combined prediction method based on neural network | |
| CN113537600B (en) | Medium-long-term precipitation prediction modeling method for whole-process coupling machine learning | |
| CN107507038A (en) | A kind of electricity charge sensitive users analysis method based on stacking and bagging algorithms | |
| CN110415111A (en) | Merge the method for logistic regression credit examination & approval with expert features based on user data | |
| CN112053234B (en) | Enterprise credit rating method based on macroscopic region economic index and microscopic factor | |
| CN106651578A (en) | Stock price trend prediction method and system | |
| CN114048436A (en) | Construction method and construction device for forecasting enterprise financial data model | |
| CN110119948A (en) | Based on when variable weight dynamic combined power consumer credit assessment method and system | |
| Muxamediyeva | Model of estimation of success of geological exploration perspective | |
| CN109345050A (en) | A kind of quantization transaction prediction technique, device and equipment | |
| CN115310752A (en) | Energy big data-oriented data asset value evaluation method and system | |
| Peng et al. | Analyzing the mechanism of spatial–temporal change of green total factor productivity in Yangtze Delta Region of China | |
| Xu et al. | Operational management efficiency and club convergence of Chinese state-owned toll road companies: A three-stage SBM-DEA model | |
| CN110807543A (en) | Investment portfolio optimization method and device based on group decision intelligent search | |
| Raza et al. | Lane-based short-term urban traffic parameters forecasting using multivariate artificial neural network and locally weighted regression models: A genetic approach | |
| CN115375010A (en) | Decision-making method and electronic equipment suitable for long-term maintenance planning of airport pavement | |
| CN115375175A (en) | Urban operation sign evaluation method | |
| Hong et al. | The study on affecting factors of regional marine industrial structure upgrading | |
| CN113888047A (en) | Technical improvement project investment scale prediction method and system considering regional investment capacity | |
| Wang et al. | Research on Credit Decision Issues of the Small and Medium-Sized Enterprises Based on TOPSIS and Hierarchical Cluster Analysis | |
| Nevrly et al. | Heuristic challenges for spatially distributed waste production identification problems |
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 |