CN109740921A - A kind of method of asphalt pavement conserving property determination - Google Patents
A kind of method of asphalt pavement conserving property determination Download PDFInfo
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Abstract
A kind of method that the present invention discloses asphalt pavement conserving property determination, comprising: from multiple indexs that PQI itemizes, the weight of selected section index RQI, RDI, SRI, the weight after being adjusted, as evaluation PFI index;Using tri- indexs of PCI, PFI, PSSI as the dimension of three-dimensional system of coordinate;Wherein, RQI- Road surface quality index;RDI- pavement rutting depth index;SRI- pavement skid resistance condition index;PFI is functional attributes;PQI is Pavement Condition evaluation;According to the different value of PCI, PFI, PSSI, the space of coordinate system is divided into multiple and different spaces;The corresponding maintenance property in each space;PCI is that index is damaged on road surface;PSSI is pavement structural strength index;PCI, PFI, PSSI in the pavement image information of acquisition are analyzed, according to position of the value after analysis in the coordinate system space, determines corresponding maintenance property.By several indexs, the maintenance policy on road surface can be quickly defined.
Description
Technical field
The present invention relates to road maintenance technical field more particularly to a kind of methods of asphalt pavement conserving property determination.
Background technique
Asphalt pavement conserving property be broadly divided into overhaul, in repair, routine maintenance three categories.Currently, in net grade road surface transform
It is main that qualitative division is carried out to the maintenance property in section by structural strength and pavement distress index in system, predominantly
It distributes road network maintenance fund and formulates maintenance work plan and data supporting is provided.For project level Maintenance Design engineering, need more
The road conditions feature of each design object is comprehensively analyzed, and combines specific pavement disease type and severity, determines that it is supported
Property type is protected, and determines that result should be able to be established with maintenance plan and is associated with, plays the role of that maintenance plan is instructed to design.
At present in project level Maintenance Design process, net grade pavement management system is still continued to use in the judgement of asphalt pavement conserving property
In method, or by the subjective experience of engineer, abundant consideration is lacked for the maintenance conditions of demand of each design object, it is feeding
Shield property determination process also lacks the method for quantification.
Therefore pavement behavior can be analyzed comprehensively there is an urgent need to a kind of in practice, and section maintenance conditions of demand of combining closely, point
There is analysis process certain scientific and normative maintenance property to determine method, to instruct China's Maintenance Design engineering practice.
The analysis of existing maintenance property is analyzed by the way of decision tree, and low efficiency, analytical cycle is long, operation
Data volume is more.
Summary of the invention
The embodiment of the present invention provides a kind of method of asphalt pavement conserving property determination, to solve the analysis of the prior art
The problem of journey low efficiency, time length.
The present invention provides a kind of method of asphalt pavement conserving property determination, comprising:
From multiple indexs that PQI itemizes, the weight of selected section index RQI, RDI, SRI, after being adjusted, as commenting
The weight of valence PFI index;Using tri- indexs of PCI, PFI, PSSI as the dimension of three-dimensional system of coordinate;Wherein, RQI- road traveling
Performance figure;RDI- pavement rutting depth index;SRI- pavement skid resistance condition index;PFI is functional attributes;PQI is road surface
Use limits;
According to the different value of PCI, PFI, PSSI, the space of coordinate system is divided into multiple and different spaces;Each space pair
Answer a maintenance property;PCI is that index is damaged on road surface;PSSI is pavement structural strength index;
PCI, PFI, PSSI in the pavement image information of acquisition are analyzed, according to the value after analysis in the coordinate system space
In position, determine corresponding maintenance property.
The embodiment of the present invention can quickly define the maintenance policy on road surface, compared to existing skill by several indexs
Art is improved determining efficiency, is reduced analysis time by the way of decision tree, especially for point in a large amount of section
Analysis, than the prior art, shortens the period, and reach same effect.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the flow chart of the embodiment of the present invention;
Fig. 2 is the tomograph of the evaluating pavement condition of the embodiment of the present invention;
Fig. 3 is the tomograph of the maintenance property determination of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, those of ordinary skill in the art's acquired every other implementation without creative efforts
Example, shall fall within the protection scope of the present invention.
Referring to Fig. 1, flow chart of the invention, comprising:
S11: from multiple indexs that PQI itemizes, the weight of selected section index RQI, RDI, SRI after being adjusted, are made
For the weight for evaluating PFI index;Using tri- indexs of PCI, PFI, PSSI as the dimension of three-dimensional system of coordinate;
Wherein, RQI- Road surface quality index;RDI- pavement rutting depth index;SRI- pavement skid resistance condition index;
PFI is functional attributes;PQI is Pavement Condition evaluation;
S12: according to the different value of PCI, PFI, PSSI, the space of coordinate system is divided into multiple and different spaces;Each sky
Between a corresponding maintenance property;PCI is that index is damaged on road surface;PSSI is pavement structural strength index;
S13: analyzing PCI, PFI, PSSI in the pavement image information of acquisition, according to the value after analysis in the coordinate system
Position in space determines corresponding maintenance property.
Through the above steps, by several indexs, the maintenance policy on road surface can be quickly defined, compared to existing
Technology is improved determining efficiency, is reduced analysis time by the way of decision tree, especially for point in a large amount of section
Analysis, than the prior art, shortens the period, and reach same effect.
Below by table 1 be road conditions indicator combination with conserve property be associated with, to the parameter and association process wherein used into
Row is as described below:
1 road conditions indicator combination of table and maintenance property contingency table
(1) pavement distress is indicated using damaged condition index (PCI), reflects the severity of road surfaces destruction;
Surface feature performance mainly includes track situation, antiskid performance and surface evenness situation etc., and this method uses functional attributes
(PFI) it indicates, pavement behavior is mainly evaluated in terms of ride quality and functional performance;Pavement structural strength is referred to using structural strength
Number (PSSI) indicates, evaluates the bearing capacity of existing structure.
The present invention according to the influence degrees of three index road pavement functional performances such as pavement track, antiskid performance, flatness,
Each index weight shared in functional attributes (PFI) is set, PFI value is calculated, as shown in following formula 1:
PFI=a1*RQI+a2*RDI+a3* SRI (formula 1)
In formula:
RQI- Road surface quality index, can be calculated by international roughness index;
RDI- pavement rutting depth index can be calculated by average rutting depth RDI;
SRI- pavement skid resistance condition index can be calculated by cornering ratio SFC;
A1 --- model parameter takes 0.62;
A2 --- model parameter takes 0.23;
A3 --- model parameter takes 0.15;
The calculation method of model parameter:
According to road surface use limits PQI index meter in " highway technology status assessment standard) " (JTG H20-2007)
Formula is calculated, the weight in PQI of indices is as follows:
PQI sub-indicator weight
Since the PFI index proposed in this patent is the index of comprehensive characterization surface feature performance, using RQI, RDI,
The influence degree of SRI index road pavement performance calculates its weight in PFI index, calculates as follows:
A1+a2+a3=1 (formula 1)
To obtain: a1=0.62;A2=0.23;A3=0.15.
(2) in this method, by PCI and PFI divide for it is good, in, it is 3 grades poor, PSSI index is divided into enough and less than 2 grades, and root
The experience that accumulates according to actual road conditions feature and long-term Maintenance Design engineering is, it is specified that the indication range and various index groups of each class
Property type is conserved under conjunction state accordingly.To in practical application, the evaluation that user can according to the actual situation to each index
Stage division and indicator combination and the corresponding relationship of maintenance property are adjusted.
Fig. 2 is evaluating pavement condition three-dimensional model diagram.The establishment process of the figure is carried out as described below:
(1) 3 road conditions comprehensive evaluation indexs are utilized, planting grass on terrene road 3-D graphic is established.Wherein, x-axis represents breakage
Situation (PCI), y-axis represent functional performance (PFI), and the codomain range of z-axis representative structure intensity (PSSI), each reference axis is
(0,100).
(2) the road conditions index established according to table 1 is associated with situation with property is conserved, and the three-dimensional space of Fig. 2 is divided into greatly
Small 18 not equal codomain units, the indicator combination situation in each unit all represent a kind of maintenance of surface property accordingly.
(3) the codomain unit of identical maintenance property is merged, composition maintenance property divides Value space, such as Fig. 2, figure
3 Value spaces that lines surround in 3.Wherein, it is overhaul that the space representation surrounded the section, which conserves property,;The spatial table surrounded
Show that maintenance property is repaired in being;And the space representation maintenance property surrounded is routine maintenance.
(4) so far, the three-dimensional space model of evaluating pavement condition is just constructed, and the codomain of Preliminary division maintenance property is empty
Between.
Fig. 3 is the 3-D view for conserving the determination method of property, and principle and service condition to this method are said as follows
It is bright:
(1) control point representative in each codomain section in Fig. 2 is selected, these points are connected into plane, utilize this
3-dimensional spatial cube is cut to conform to 3 desired parts by a little planes.Maintenance property Value space is optimized, is obtained
The spatial dimension of three different colors shown in Fig. 2.
(2) scope of overhaul, by plane (B1B2B6): z=80 and plane (B2B3B4B5B6): 8x+8y+13z=
1600 cut square.Wherein, B1 (0,0,80), B2 (70,0,80), B3 (100,0,13.5), B4 (100,100,
0), B5 (0,100,61.5), B6 (0,70,80) belong to the characteristic point of the Value space for the overhaul that Fig. 2 is marked off;
(3) scope of light maintenance is obtained square cutting by plane (A1A2A3): 2x+2y+11z=1420.Its
In, A1 (60,100,100), A2 (100,60,100), A3 (100,100,80) belong to the light maintenance Value space that Fig. 1 is marked off
Characteristic point;
(4) after removing overhaul space and light maintenance space, remaining space belong in the scope repaired.
Specific implementation process of the invention is as follows:
(1) project section is detected in detail, calculates the road conditions index of each design object, including PCI, PFI and
PSSI。
(2) three-dimensional space model provided using Fig. 2 marks corresponding institute of road conditions indicator combination of each design object
Position, to can determine that the maintenance property type of the point.
(3) in addition, user voluntarily can construct evaluating pavement condition threedimensional model using this method, then judge according to the actual situation
The maintenance property type of design object.
Illustrate to obtain between the operand of method of the invention and the decision tree of conventional method below by specific example
Difference in the efficiency of identical result.
Analyzing of applying effects:
(1) number of calculations simplifies
1) traditional decision tree pointer type and analysis method:
The form of decision tree constructed accordingly is as follows:
Thus numbers of branches=3 ∧ 4*2=162 of time decision tree can be calculated.Calculating each section of analysis
When unit conserves type, computer is both needed to carry out 162 operations.
2) decision index system type and analysis method that this patent method uses:
The decision model form constructed accordingly is as follows:
Thus numbers of branches=3 ∧ 2*2=18 of time decision tree can be calculated.Calculating each section of analysis list
When member maintenance type, computer is only both needed to carry out 18 operations.
Operation is matched according to weight in the formula 1 of the application, operation times can be substantially reduced, working efficiency improves 9 times.
(2) accuracy of determination is analyzed
It is as follows to select one, China Class II highway road conditions detection data, is utilized respectively conventional method and this patent method carries out
Type judgement is conserved, as a result as follows:
It can be seen that, be up to 93% using conventional method and the identical rate of this patent method calculated result, do not bringing substantially
In the case that late maintaining cost changes, the calculated result of this patent method may replace conventional method completely.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (3)
1. a kind of method of asphalt pavement conserving property determination characterized by comprising
From multiple indexs that PQI itemizes, the weight of selected section index RQI, RDI, SRI, after being adjusted, as evaluation
The weight of PFI index;Using tri- indexs of PCI, PFI, PSSI as the dimension of three-dimensional system of coordinate;Wherein, RQI-road traveling matter
Volume index;RDI-pavement rutting depth index;SRI-pavement skid resistance condition index;PFI is functional attributes;PQI is road surface
Use limits;
According to the different value of PCI, PFI, PSSI, the space of coordinate system is divided into multiple and different spaces;Each space corresponding one
A maintenance property;PCI is that index is damaged on road surface;PSSI is pavement structural strength index;
PCI, PFI, PSSI in the pavement image information of acquisition are analyzed, according to the value after analysis in the coordinate system space
Position determines corresponding maintenance property.
2. the method according to claim 1, wherein the process of the adjustment includes:
WPQI=0.35wPCI+0.4wRQI+0.15wRDI+0.1wRDI
The PFI=a1*RQI+a2*RDI+a3*SRI
Wherein, a1+a2+a3=1
A1=0.62;A2=0.23;A3=0.15;
Wherein, RQI-Road surface quality index;RDI-pavement rutting depth index;SRI-pavement skid resistance condition index, w
For weight.
3. the method according to claim 1, wherein by PCI and PFI divide for it is good, in, poor 3 sections, PSSI refers to
Mark be divided into enough, less than two sections, maintenance property include light maintenance, in repair and overhaul.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110458974A (en) * | 2019-08-23 | 2019-11-15 | 北京源清慧虹信息科技有限公司 | The method of inspection, device, computer equipment and the storage medium of live inspection |
CN112330227A (en) * | 2020-12-04 | 2021-02-05 | 城云科技(中国)有限公司 | Urban management capability evaluation method and system based on digital urban management service construction |
CN112686396A (en) * | 2020-12-15 | 2021-04-20 | 中公高科养护科技股份有限公司 | Method, medium and system for selecting pavement maintenance property based on disease number |
CN113298409A (en) * | 2021-06-10 | 2021-08-24 | 西湾智慧(广东)信息科技有限公司 | Maintenance method based on early warning mechanism of road management and maintenance |
CN117557255A (en) * | 2024-01-12 | 2024-02-13 | 吉林大学 | Dangerous scene driving risk assessment system and method for automatic driving automobile |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103973496A (en) * | 2014-05-21 | 2014-08-06 | 华为技术有限公司 | Fault diagnosis method and device |
CN107153928A (en) * | 2017-06-28 | 2017-09-12 | 江苏智通交通科技有限公司 | Visual highway maintenance decision system |
CN109039951A (en) * | 2018-07-10 | 2018-12-18 | 中国地质大学(武汉) | A kind of realization method and system of heterogeneous network QoS strategy |
-
2018
- 2018-12-29 CN CN201811637746.8A patent/CN109740921A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103973496A (en) * | 2014-05-21 | 2014-08-06 | 华为技术有限公司 | Fault diagnosis method and device |
CN107153928A (en) * | 2017-06-28 | 2017-09-12 | 江苏智通交通科技有限公司 | Visual highway maintenance decision system |
CN109039951A (en) * | 2018-07-10 | 2018-12-18 | 中国地质大学(武汉) | A kind of realization method and system of heterogeneous network QoS strategy |
Non-Patent Citations (2)
Title |
---|
向磊: ""钢桥面铺装层养护管理系统研究"", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 * |
温胜强: ""基于组合预测与模糊优化的高速公路路面养护决策研究"", 《中国博士学位论文全文数据库 工程科技II辑》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110458974A (en) * | 2019-08-23 | 2019-11-15 | 北京源清慧虹信息科技有限公司 | The method of inspection, device, computer equipment and the storage medium of live inspection |
CN112330227A (en) * | 2020-12-04 | 2021-02-05 | 城云科技(中国)有限公司 | Urban management capability evaluation method and system based on digital urban management service construction |
CN112686396A (en) * | 2020-12-15 | 2021-04-20 | 中公高科养护科技股份有限公司 | Method, medium and system for selecting pavement maintenance property based on disease number |
CN112686396B (en) * | 2020-12-15 | 2024-02-23 | 中公高科养护科技股份有限公司 | Pavement maintenance property selection method, medium and system based on disease quantity |
CN113298409A (en) * | 2021-06-10 | 2021-08-24 | 西湾智慧(广东)信息科技有限公司 | Maintenance method based on early warning mechanism of road management and maintenance |
CN117557255A (en) * | 2024-01-12 | 2024-02-13 | 吉林大学 | Dangerous scene driving risk assessment system and method for automatic driving automobile |
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