CN117669002A - Road design practical degree assessment method and device based on big data - Google Patents
Road design practical degree assessment method and device based on big data Download PDFInfo
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Abstract
The invention discloses a road design practical degree assessment method and device based on big data, which relate to the technical field of road design assessment and comprise the steps of obtaining road design scheme information, preprocessing to obtain a road design element set, analyzing to obtain practical degree measurement indication coefficients of road design, processing to obtain evaluation analysis labels of the road design to carry out intelligent display feedback.
Description
Technical Field
The invention relates to the technical field of road design evaluation, in particular to a road design practical degree evaluation method and device based on big data.
Background
Along with urban promotion and population growth, traffic demands are continuously increased, so that the increasingly-increased traffic demands can be met, traffic efficiency is effectively improved, future traffic flow, construction economic cost and other factors need to be fully considered in the early stage of road construction so as to ensure that the road actually constructed finally has enough capacity and adaptability, road design practicability evaluation is helpful for identifying and managing potential construction risk factors, and problems possibly occurring in the later construction and operation stages can be reduced by finding and solving corresponding problems in the design stage, so that the controllability and benefit of road construction projects can be improved.
The CN113051653B is a city planning road construction evaluation management system based on multidimensional data analysis, and comprises a route information importing module, a region dividing module, a road basic parameter detecting module, a soil environment parameter detecting module, an underground water body parameter detecting module, a data processing and analyzing module, a database and a display terminal, so that the accurate analysis is carried out on seven aspects of the number of buildings, the terrain characteristics, the road basic parameters, the soil environment parameters and the underground water body parameters of the road to be constructed, and the problem that the evaluation content of the construction evaluation mode of the conventional city planning road construction is limited is effectively solved, and meanwhile, the accuracy of the construction evaluation result of the road construction is greatly improved.
Based on the above-mentioned scheme, the limitations of the prior art at least include the following problems, firstly, in the early design stage, the parameter evaluation is limited to the depth of the planning area, but no deep analysis is performed to the specific road design scheme, and the related parameters of the construction area may meet the requirements, but the phenomenon of uncoordinated matching between the practical construction road and the construction area in the aspects of practicality and benefit is caused, so that a series of negative effects such as higher construction cost and longer construction period are caused, the economic benefit and implementation progress of the road are greatly inhibited, and the safety and effectiveness of the road in practical application are not guaranteed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a road design practical degree assessment method and device based on big data, which can effectively solve the problems related to the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the first aspect of the invention provides a road design practical degree assessment method based on big data, comprising the following steps: and the evaluation cloud center acquires the design scheme information of the road and performs preprocessing to obtain a road design element set.
And according to the road design element set, importing the road design element set into a comprehensive evaluation analysis model for analysis through data processing to obtain a practical degree measurement indication coefficient of the road design.
And according to the practical degree measurement indication coefficient of the road design, processing to obtain an evaluation analysis label of the road design, and transmitting the evaluation analysis label to a preset visual set display WEB terminal for intelligent display feedback.
As a further design of the present invention, the preprocessing obtains a road design element set, and the specific process includes: s1: and extracting road design digital virtual drawing and road cost index data from the road design scheme information.
S2: according to a road design digital virtual drawing, positioning a preliminary planning construction area of a road, extracting a GIS global map of the preliminary planning construction area of the road from a data warehouse, marking the preliminary planning construction area as a reference GIS global map, mapping and outlining the reference GIS global map to obtain a road design body surface pre-coverage area, counting to obtain each overlapped gathering branch trunk of the road design body surface pre-coverage area, marking the overlapped gathering branch trunk as each pre-gathering branch trunk, counting to obtain traffic data of each pre-gathering branch trunk as a first road design element, and marking a as a 1 And (5) calibrating.
S3: counting basic construction parameters of the road from the road design digital virtual drawing, marking the basic construction parameters as a second design element of the road, and taking a as 2 And (5) calibrating.
S4: according to the reference GIS global map, extracting the current construction constraint information of the road design body surface pre-covered region from the reference GIS global mapThe information is recorded as a third design element of the road and a is used as 3 And (5) calibrating.
s5: the convergence processing obtains a road design element set A, A= { a 1 ，a 2 ，a 3 }。
As a further design of the present invention, the analysis obtains a practical degree measurement indicating coefficient of the road design, and the specific process includes: extracting the expected total casting cost of the road according to the road cost index data, and marking the total casting cost asAnd the practical degree measurement index coefficient of the road design is obtained by leading the practical degree measurement index coefficient into a comprehensive evaluation analysis model, wherein the comprehensive evaluation analysis model is as follows:
wherein, psi is the practical degree measurement indicating coefficient of the road design 1 Indicating coefficient of practical degree of first design element of road, psi 2 Construction constraint index coefficient, ψ, for road second design element 3 Construction constraint index coefficient, ψ, for a third design element of a road 0 、Φ 1 Indicating compensation values and supplementary correction values for the practical degree of the predefined first design element, phi 2 And supplementing correction values for the integration of the second design element of the predefined road and the third design element of the road, wherein eta and eta' are respectively a reference deviation threshold value between the predefined practical degree indication coefficient and the construction constraint indication coefficient and a deviation threshold value loss factor of the unit value corresponding to the expected total casting cost of the road.
As a further design of the present invention, the practical degree indication coefficient of the first design element of the road is as follows: according to the traffic data of each pre-convergence branch trunk, including the average motor vehicle flow, the average non-motor vehicle flow and the average pedestrian flow, the traffic data are sequentially recorded as Z q→1 、Z q→2 、Z q→3 。
At the same time, statistics of each pre-convergence from traffic dataThe traffic accident occurrence frequency of the branch trunk, the average driving density of the peak time, the arrangement length of the single highest congestion driving and the single highest congestion time length are set and are sequentially recorded as P q 、ρ q 、X q 、T q，q For each pre-aggregate feeder trunk, q=1, 2.
Analyzing the traffic flow influence value of the pre-convergence branch trunk, wherein the constraint execution type is as follows:
wherein omega is 1 For pre-converging the traffic flow influence value delta of branch trunk 0 To set a correction coefficient for the traffic flow influence value.
Analyzing traffic jam evaluation values of the pre-convergence branch trunk, wherein constraint execution is as follows:
wherein,
in the above, ω 2 Traffic jam evaluation value for pre-converging branch trunk, e is natural constant, gamma 1 、γ 2 Traffic jam assessment factors, ρ, of sequentially set unit arrangement length and unit duration of highest congestion driving 0 Preset reference driving density of branch trunk road, gamma 3 、γ 4 And the correction coefficients of the traffic accident occurrence frequency and the traffic density in the peak period are set in sequence.
Comprehensively analyzing practical degree indication coefficients of a first design element of a road, wherein constraint execution formulas are as follows:
wherein B is 1 、B 2 And the set traffic flow influence value and the practical indication evaluation weight factor of the traffic jam evaluation value of the pre-convergence branch trunk are sequentially set.
As a further design of the invention, the construction constraint index coefficient of the second design element of the road comprises the following specific processing steps: and extracting the total extension length of the road design, the average design construction width and the number of intersections according to the basic construction parameters of the road, and sequentially recording as L, K, C.
Analyzing construction constraint indication coefficients of a second design element of the road, wherein the constraint execution formula is as follows:
wherein lambda is a construction constraint evaluation factor of a second design element of the road, L 0 、K 0 、C 0 Sequentially predefining road design reference extension length, reference design construction width and reference design intersection number, v 1 、υ 2 、υ 3 The total extension length, the average design construction width and the indication weight proportion coefficient of the number of intersections are respectively designed for the set road.
As a further design of the invention, the construction constraint evaluation factor of the second design element of the road comprises the following specific processing steps: extracting the preset gradient of the road at each slope point and the length of the slope section thereof from the basic construction parameters, and marking the gradient as theta in sequence w 、L w W is the number of each slope site, w=1, 2.
Extracting the total length and the curvature radius of the road in each curve section, and marking the total length and the curvature radius as L in sequence r 、R r R is the number of each curve segment, r=1, 2.
Extracting the total occupied length and the total design specification of various road infrastructure architectures of the road, and sequentially marking the total occupied length and the total design specification as L y 、V y Y is the number of various road infrastructure, y=1, 2, & gt, y ', y' is the road infrastructureTotal number.
And processing construction constraint evaluation factors for constructing a second design element of the road, wherein the constraint conditions are as follows:wherein:
in the above-mentioned method, the step of,the evaluation influence factors of the set ramp, curve and road infrastructure respectively, and tau 1 、θ 0 Evaluating characterization coefficients and reference design slopes, ζ, respectively, for construction constraints of predefined slope section unit lengths 1 、ζ 2 Evaluating weights for setting construction constraints of slope point gradient and slope segment length, delta L and tau 2 、R 0 Evaluation characterization coefficients for predefined reference curve segment total length, curve total length unit deviation length, respectively, and curve reference defined radius of curvature ζ 3 、ζ 4 To set the construction constraint evaluation weight of the total length of the curve and the curvature radius of the curve, L is the total extension length of the road design, N y Defining a length fraction χ for a reference of a predefined road infrastructure y y And evaluating the characterization coefficients for the construction constraints of the unit values corresponding to the total design specification of the predefined road infrastructure y.
As a further design of the invention, the construction constraint index coefficient of the third design element of the road comprises the following specific processing steps: extracting the coverage area of the susceptibility zone and the population total density of the affiliated path zone from the current construction constraint information of the pre-covered region of the road design body surface according to the current construction constraint information, and marking the population total density as S (YG) 、J。
And analyzing construction constraint indication coefficients of a third design element of the road, wherein the constraint conditions are as follows:
wherein, kappa 1 、κ 2 A construction constraint indicator corresponding to a unit value for the set susceptible area coverage unit area and the regional population aggregate density,and adding compensation coefficients for the construction constraint indication of the third design element.
As a further design of the present invention, the construction constraint instruction of the third design element adds a compensation coefficient, and the specific processing procedure is as follows: and extracting the total coverage area of various landforms according to a reference GIS global map, positioning and extracting the central axis extension line of the road design body surface pre-coverage region, marking as a design reference line, carrying out equal proportion screening point layout at set intervals, extracting the elevation value and the ground surface gradient of each screening point, and counting the average elevation difference between adjacent screening points to be delta H.
And (3) building constraint instruction of the third design element is analyzed, compensation coefficients are additionally arranged, and constraint conditions are as follows:
wherein,
in the above, S u Is the total coverage area of the landform type u, delta S u 、φ 1 Defining coverage areas and landform construction constraint indication correction coefficients, H, for references of predefined landform types u, respectively p 、Q p The elevation value and the ground surface gradient of the screening point p are respectively H ', Q' 0 、ΔH 0 Defining a deviation elevation value, a reference surface inclination, and a defined elevation difference, σ, between adjacent screening points for predefined screening points in sequence 1 、σ 2 、σ 3 Building of elevation value, earth surface gradient and average elevation difference of set screening pointsThe manufacturing constraint indicates a correction coefficient, u is the number of various types of landforms, u=1, 2, u ', u' is the total number of landform types, p is the number of each screening point, p=1, 2, p ', p' is the total number of landform types.
The second aspect of the present invention provides a road design practical degree evaluation device based on big data, comprising: a processor, and a memory and a network interface connected to the processor. The network interface is connected to a non-volatile memory in the server. The processor, when running, retrieves the computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method described above.
Compared with the prior art, the embodiment of the invention has at least the following beneficial effects:
(1) The invention provides the road design practical degree assessment method and the road design practical degree assessment device based on big data, which are used for realizing deep analysis of the design scheme information of the road in the early design stage, effectively solving the problem that the prior art is limited to carrying out deep parameter assessment only for a planning area, greatly reducing the problem that the practical benefit is low when the relevant parameters of a construction area meet the requirements by carrying out deep analysis on a specific road design scheme, ensuring the mutual coordination matching degree between the practical construction road and the construction area in the aspects of practicability and benefit, avoiding higher construction cost and longer construction period, greatly ensuring the economic benefit and implementation progress of the road, and being beneficial to providing reliable guarantee for the safety and the effectiveness of the road in practical application.
(2) According to the invention, the practical degree measurement indication coefficient of the road design is obtained through analysis, evaluation is carried out according to the data analysis results of a plurality of layers, the practical degree of the road design is subjected to numerical quantification, the influence of subjective factors of artificial judgment is avoided, the accuracy and the effectiveness of the data analysis are improved, an objective data basis is provided for practical evaluation of the road design, potential road design problems can be prevented in advance, and the low benefit or extra cost risk of road projects can be further reduced.
(3) According to the invention, the evaluation analysis label of the road design is obtained through processing and is transmitted to the preset visual integrated display WEB end for intelligent display feedback, so that a designer can be helped to better understand the economic benefit and the cost problem of the road design scheme, further, selection can be made more quickly and intelligently in the final road construction decision process, and a data support foundation is further provided for the reliability and the sustainability of road construction.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of a distribution of pre-aggregate branch trunk lines according to an embodiment of the present invention.
Reference numerals: 1. the road design body surface pre-covers the region, 2, the branch trunk of gathering in advance.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "open," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like indicate orientation or positional relationships, merely for convenience in describing the present invention and to simplify the description, and do not indicate or imply that the components or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1, a first aspect of the embodiment of the present invention provides a technical solution: a road design practical degree assessment method based on big data comprises the following steps: and the evaluation cloud center acquires the design scheme information of the road and performs preprocessing to obtain a road design element set.
The evaluation cloud center in the embodiment is a computer data analysis center, in terms of hardware, the evaluation cloud center has a high-performance computing cluster, a large-scale storage function and a high-speed network, the hardware functions can support large-scale data processing and analysis tasks, can effectively store and manage various types of data, including structured data, semi-structured data and unstructured data, the evaluation cloud center also supports application of various data analysis tools, including statistical analysis software, a machine learning framework, data visualization tools and the like, can implement various data analysis and mining tasks, and the road design practical degree evaluation process in the embodiment has good practicability and flexibility.
Specifically, the preprocessing obtains a road design element set, and the specific process comprises the following steps: s1: the digital virtual drawing of road design and the road cost index data are extracted from the design scheme information of the road, wherein the digital virtual drawing of road design refers to the virtual representation of road engineering created by computer-aided design such as CAD and other digital technologies, and the virtual drawing comprises a three-dimensional model, a plane graph, a section graph and other digital information related to the road design.
S2: according to a road design digital virtual drawing, positioning a GIS global map of the road in a preliminary planning construction area, extracting the GIS global map of the road in a data warehouse, recording the map as a reference GIS global map, wherein the GIS global map is a map generated by utilizing a GIS technology and comprises basic geographic space elements such as roads, rivers, mountains and the like, mapping and outlining the reference GIS global map to obtain a road design body surface pre-coverage area, counting to obtain each overlapped gathering branch trunk lines of the road design body surface pre-coverage area, recording the overlapped gathering branch trunk lines as each pre-gathering branch trunk lines, counting to obtain traffic data of each pre-gathering branch trunk line from a traffic data platform, recording the traffic data as a first road Design element, and is represented by a 1 And (5) calibrating.
As shown in fig. 2, each pre-converging branch trunk road (2) is a plurality of existing roads having a cross relation with the road design body surface pre-covering region (1).
The embodiment uses a data bin, which is a computer virtual warehouse for integrating, storing and managing a large amount of data, and in this embodiment is used for storing a GIS global map of each region, and according to the preliminary planning construction region of the road, the GIS global map of the preliminary planning construction region of the road can be extracted for positioning and dividing.
S3: counting basic construction parameters of the road from the road design digital virtual drawing, marking the basic construction parameters as a second design element of the road, and taking a as 2 And (5) calibrating.
S4: according to the reference GIS global map, extracting the current construction constraint information of the road design body surface pre-covered region from the reference GIS global map, marking the current construction constraint information as a third design element of the road, and taking a as a 3 And (5) calibrating.
S5: the convergence processing obtains a road design element set A, A= { a 1 ,a 2 ,a 3 }。
And according to the road design element set, importing the road design element set into a comprehensive evaluation analysis model for analysis through data processing to obtain a practical degree measurement indication coefficient of the road design.
Specifically, the analysis obtains the practical degree measurement indicating coefficient of the road design, and the specific process comprises the following steps: extracting the expected total casting cost of the road according to the road cost index data, and marking the total casting cost as And the practical degree measurement index coefficient of the road design is obtained by leading the practical degree measurement index coefficient into a comprehensive evaluation analysis model, wherein the comprehensive evaluation analysis model is as follows:
wherein, psi is the practical degree measurement indicating coefficient of the road design 1 Is the first roadPractical degree indicating coefficient of design element 2 Construction constraint index coefficient, ψ, for road second design element 3 Construction constraint index coefficient, ψ, for a third design element of a road 0 、Φ 1 Indicating compensation values and supplementary correction values for the practical degree of the predefined first design element, phi 2 And supplementing correction values for the integration of the second design element of the predefined road and the third design element of the road, wherein eta and eta' are respectively a reference deviation threshold value between the predefined practical degree indication coefficient and the construction constraint indication coefficient and a deviation threshold value loss factor of the unit value corresponding to the expected total casting cost of the road.
As a further explanation of the comprehensive evaluation analysis model, the practical degree index coefficient ψ of the road first design element 1 Is the primary design practical degree evaluation index of the road, and the construction constraint of the second design element of the road indicates the coefficient psi 2 Construction constraint index coefficient psi of road third design element 3 To a certain extent, the two are evaluation indexes for judging the complexity of construction and the cost input degree in the actual construction process, when psi 1 Occurrence of high values below ψ 2 Sum phi 3 Under the condition of (1), the practical degree of the road design is seriously low, meanwhile, the expected total casting cost of the road is taken into the road to carry out constraint analysis, the accuracy of data analysis is further improved, the reliability and the effective convincing performance of the comprehensive evaluation analysis model are also improved, if the practical degree measurement of the road design indicates that the value level of the coefficient is too low, at the moment, the road design is required to be adjusted and optimized, and a data basis is further provided for the evaluation analysis label of the road design obtained by subsequent processing.
In the embodiment of the invention, the practical degree measurement indication coefficient of the road design is obtained through analysis, the evaluation is carried out according to the data analysis results of a plurality of layers, the practical degree of the road design is subjected to numerical quantization, the influence of subjective factors of artificial judgment is avoided, the accuracy and the effectiveness of the data analysis are improved, an objective data basis is provided for the practical evaluation of the road design, the potential road design problem is prevented in advance, and the low benefit or the extra cost risk of road projects is further reduced.
Further, the practical degree indication coefficient of the first design element of the road is specifically processed as follows: according to the traffic data of each pre-convergence branch trunk, including the average motor vehicle flow, the average non-motor vehicle flow and the average pedestrian flow, the traffic data are sequentially recorded as Z q→1 、Z q→2 、Z q→3 。
According to the invention, the daily motor vehicle flow, the daily non-motor vehicle flow and the daily pedestrian flow are analyzed instead of independently analyzing the total vehicle flow of the branch trunk, so that the current traffic pressure of each pre-convergence branch trunk can be fully estimated, an estimation basis is provided for the practicability of the pre-designed construction road, the error of traffic data analysis is greatly reduced, and a front-stage support basis is provided for the subsequent data analysis.
Meanwhile, counting the occurrence frequency of traffic accidents of all the pre-convergence branch trunk lines from traffic data, setting the average driving density of peak time, the arrangement length of single highest congestion driving and the single highest congestion time length, and sequentially marking as P q 、ρ q 、X q 、T q，q For each pre-aggregate feeder trunk, q=1, 2.
In this embodiment, the peak time period is set to be a combination of two time periods from 7 am to 9 pm and from 5 pm to 7 pm.
In the embodiment, the traffic accident occurrence frequency of each pre-convergence branch trunk, the average driving density of the set peak period, the single highest congestion driving arrangement length and the single highest congestion duration are all important bases for evaluating the existing traffic pressure, and the trend of the current traffic demand can be better understood by fully analyzing the traffic condition of each pre-convergence branch trunk, so that the sustainability of the pre-construction road is evaluated, the planning of the capacity of the pre-construction road is facilitated, the future traffic demand is met, and the long-term effectiveness of the design of the pre-construction road is ensured.
Analyzing the traffic flow influence value of the pre-convergence branch trunk, wherein the constraint execution type is as follows:
wherein omega is 1 For pre-converging the traffic flow influence value delta of branch trunk 0 To set a correction coefficient for the traffic flow influence value.
Analyzing traffic jam evaluation values of the pre-convergence branch trunk, wherein constraint execution is as follows:
wherein,
in the above, ω 2 Traffic jam evaluation value for pre-converging branch trunk, e is natural constant, gamma 1 、γ 2 Traffic jam assessment factors, ρ, of sequentially set unit arrangement length and unit duration of highest congestion driving 0 Preset reference driving density of branch trunk road, gamma 3 、γ 4 And the correction coefficients of the traffic accident occurrence frequency and the traffic density in the peak period are set in sequence.
Comprehensively analyzing practical degree indication coefficients of a first design element of a road, wherein constraint execution formulas are as follows:
wherein omega is 1 To pre-gather the traffic flow influence value omega of branch trunk 2 B for traffic congestion evaluation value of pre-converging branch trunk lines 1 、B 2 And the set traffic flow influence value and the practical indication evaluation weight factor of the traffic jam evaluation value of the pre-convergence branch trunk are sequentially set.
It should be understood that, by integrating and evaluating the traffic flow influence value of the pre-converging branch trunk and the traffic jam evaluation value of the pre-converging branch trunk to obtain the practical degree indication coefficient of the first design element of the road, the traffic condition of the existing road system can be deeply known, so that a designer can more accurately predict the challenges possibly faced by the road to be designed and constructed, the risk in the implementation process of the road construction project is further reduced, and the success possibility of the road construction project is improved.
Further, the construction constraint index coefficient of the second design element of the road comprises the following specific processing procedures: and extracting the total extension length of the road design, the average design construction width and the number of intersections according to the basic construction parameters of the road, and sequentially recording as L, K, C.
Analyzing construction constraint indication coefficients of a second design element of the road, wherein the constraint execution formula is as follows:
wherein lambda is a construction constraint evaluation factor of a second design element of the road, L 0 、K 0 、C 0 Sequentially predefining road design reference extension length, reference design construction width and reference design intersection number, v 1 、υ 2 、υ 3 The total extension length, the average design construction width and the indication weight proportion coefficient of the number of intersections are respectively designed for the set road.
In the embodiment, the construction constraint indication coefficient of the second design element of the road is analyzed, the information in the road design scheme is subjected to concrete analysis, the expected construction investment degree of the road design can be reflected highly, and the practicability of the road design can be further evaluated later.
Further, the construction constraint evaluation factor of the second design element of the road comprises the following specific processing steps: extracting the preset gradient of the road at each slope point and the length of the slope section thereof from the basic construction parameters, and marking the gradient as theta in sequence w 、L w W is the number of each slope site, w=1, 2.
Extracting the total length and the curvature radius of the road in each curve section, and marking the total length and the curvature radius as L in sequence r 、R r R is the number of each curve segment, r=1, 2.
Extracting the total occupied length and the total design specification of various road infrastructure architectures of the road, and sequentially marking the total occupied length and the total design specification as L y 、V y Y is the number of each type of road infrastructure, y=1, 2.
The road infrastructure is a special road surface structure engineering, such as a bridge and a tunnel, which is built to adapt to different terrain conditions, and is described as a further example of the total design specification of various road infrastructure, if the bridge is one of the road infrastructure, the total design specification of the bridge is the total floor area, and if the tunnel is one of the road infrastructure, the total design specification of the tunnel is the total channel volume.
And processing construction constraint evaluation factors for constructing a second design element of the road, wherein the constraint conditions are as follows:wherein:
in the above-mentioned method, the step of,the evaluation influence factors of the set ramp, curve and road infrastructure respectively, and tau 1 、θ 0 Evaluating characterization coefficients and reference design slopes, ζ, respectively, for construction constraints of predefined slope section unit lengths 1 、ζ 2 Evaluating weights for setting construction constraints of slope point gradient and slope segment length, delta L and tau 2 、R 0 Evaluation characterization coefficients for predefined reference curve segment total length, curve total length unit deviation length, respectively, and curve reference defined radius of curvature ζ 3 、ζ 4 To set the construction constraint evaluation weight of the total length of the curve and the curvature radius of the curve, L is the total extension length of the road design, N y Defining a length fraction χ for a reference of a predefined road infrastructure y y And evaluating the characterization coefficients for the construction constraints of the unit values corresponding to the total design specification of the predefined road infrastructure y.
In this embodiment, the construction constraint evaluation factor for constructing the second design element of the road is processed, according to the preset gradient of the road at each slope point and the length of the slope section, the total length of the road at each curve section and the curvature radius thereof, and the total occupied length and the total design specification of various road infrastructure of the road, by aiming at analysis, the objective is that parameters such as gradient, curve and the like in the road design can directly influence the investment cost and cost of the road construction, such as steeper gradient, curve with larger radius and more road infrastructure, the slope section may need more earth projects for digging, which increases the construction cost, the curve section may need more land purchase or terrain modification, which also increases the construction cost, while the slope section needs more supporting structures and sideslip prevention measures, and more road materials and side slope support projects, the various road infrastructure needs more special construction materials, which further increase the construction cost and later maintenance cost, and by these analysis information, the road preparation design can be fully combined with the practical evaluation of the subsequent road design.
Further, the construction constraint index coefficient of the third design element of the road comprises the following specific processing steps: extracting the coverage area of the susceptibility zone and the population total density of the affiliated path zone from the current construction constraint information of the pre-covered region of the road design body surface according to the current construction constraint information, and marking the population total density as S (YG) 、J。
Illustratively, the susceptible area is specifically such as a farmland, agricultural area, water area, wetland, populated area, and the like.
And analyzing construction constraint indication coefficients of a third design element of the road, wherein the constraint conditions are as follows:
wherein, kappa 1 、κ 2 A construction constraint indicator corresponding to a unit value for the set susceptible area coverage unit area and the regional population aggregate density,and adding compensation coefficients for the construction constraint indication of the third design element.
In this embodiment, the construction constraint indication coefficient of the third design element of the road is obtained by analyzing the information such as the coverage area of the susceptible area of the pre-covered region of the surface of the road design body and the population total density of the affiliated road region, so that the complexity degree of the road in the actual construction process can be judged, the construction time and cost can be estimated in advance, the corresponding construction adjustment plan can be formulated, and in the subsequent practical comprehensive evaluation of the road design, the support is provided for judging the practical value of the road.
Furthermore, the construction constraint instruction of the third design element is additionally provided with a compensation coefficient, and the specific processing process is as follows: and extracting the total coverage area of various types of landforms including but not limited to mountains, valleys, hills, plain, canyons and the like according to the reference GIS global map, positioning and extracting the central axis extension line of the road design body surface pre-coverage region, marking the central axis extension line as a design reference line, carrying out equal proportion screening point layout at set intervals, extracting the elevation value and the ground surface gradient of each screening point, and counting the average elevation difference between adjacent screening points to be delta H.
In the embodiment, the design is set to 10m intervals with reference to the datum line for arranging the screening points in equal proportion, the elevation value and the ground surface gradient of each screening point are extracted for analysis, and the analysis is performed regularly and in a basis, rather than for a certain specific point, so that the error of data analysis is greatly reduced.
And (3) building constraint instruction of the third design element is analyzed, compensation coefficients are additionally arranged, and constraint conditions are as follows:
wherein,
in the above, S u Is the total coverage area of the landform type u, delta S u 、φ 1 Defining coverage areas and landform construction constraint indication correction coefficients, H, for references of predefined landform types u, respectively p 、Q p The elevation value and the ground surface gradient of the screening point p are respectively H ', Q' 0 、ΔH 0 Defining a deviation elevation value, a reference surface inclination, and a defined elevation difference, σ, between adjacent screening points for predefined screening points in sequence 1 、σ 2 、σ 3 The construction constraints of the set screening points, the ground inclination and the average elevation difference indicate correction coefficients, u is the number of various types of landforms, u=1, 2.
According to the practical degree measurement indication coefficient of the road design, the evaluation analysis label of the road design is processed and obtained and is transmitted to a preset visual set display WEB end for intelligent display feedback, the visual set display WEB end is an application service constructed based on a webpage technology, access can be performed through a browser in a computer Internet, a user can intuitively understand the visual content of data, in the embodiment, the evaluation analysis label of the road design is processed and obtained for display, and meanwhile, all road design information acquired in the evaluation process can be visually displayed, so that a designer can more intuitively and easily understand complex road related data.
It should be explained that the above processing obtains the evaluation analysis tag of the road design, and the specific process is as follows: comparing the practical degree measurement indication coefficient of the road design with a set practical degree measurement indication coefficient threshold value, and if the practical degree measurement indication coefficient of the road design is lower than the practical degree measurement indication coefficient threshold value, generating a evaluation analysis tag of the road design for display, wherein the specific content of the evaluation analysis tag comprises prompt texts, such as: by analyzing the traffic condition of the existing road and considering the cost of road construction, maintenance and operation, the method judges the limitation problem of low practicability of the road for the preliminary design construction, and confirms and adjusts the road design scheme to ensure that the road design meets the feasibility and practical standards.
In the embodiment of the invention, the evaluation analysis label of the road design is obtained through processing and is transmitted to the preset visual integrated display WEB end for intelligent display feedback, so that a designer can be helped to better understand the economic benefit and the cost problem of the road design scheme, further, the choice is made more quickly and intelligently in the final road construction decision process, and further, a data support basis is provided for the reliability and the sustainability of the road construction.
The second aspect of the embodiment of the invention provides a technical scheme: a road design utility evaluation device based on big data, comprising: a processor, and a memory and a network interface connected to the processor. The network interface is connected to a non-volatile memory in the server. The processor, when running, retrieves the computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method described above.
According to the road design practical degree assessment method and device based on big data, in the early design stage, the deep analysis of the design scheme information of the road is achieved, the problem that the prior art is limited to the deep parameter assessment only for a planning area is solved, the problem that the practical benefit of an actual construction road is low due to the fact that relevant parameters of the construction area possibly appear in accordance with requirements is greatly reduced by conducting the deep analysis on a specific road design scheme, the mutual coordination matching degree between the practical construction road and the construction area in the aspects of practicality and benefit can be guaranteed, higher construction cost and longer construction period are avoided, economic benefit and implementation progress of the road are greatly guaranteed, and reliable guarantee is provided for the safety and effectiveness of the road in practical application.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention and are intended to be within the scope of the invention without departing from the spirit and scope of the invention.
Claims (9)
1. The road design practicability degree assessment method based on big data is characterized by comprising the following steps of:
the method comprises the steps that a cloud center is evaluated to obtain design scheme information of a road, and preprocessing is conducted to obtain a road design element set;
according to the road design element set, the road design element set is imported into a comprehensive evaluation analysis model for analysis through data processing to obtain practical degree measurement indication coefficients of the road design;
and according to the practical degree measurement indication coefficient of the road design, processing to obtain an evaluation analysis label of the road design, and transmitting the evaluation analysis label to a preset visual set display WEB terminal for intelligent display feedback.
2. The road design practicability evaluation method based on big data according to claim 1, wherein: the preprocessing is carried out to obtain a road design element set, and the specific process comprises the following steps:
s1: extracting road design digital virtual drawing and road cost index data from the road design scheme information;
s2: according to a road design digital virtual drawing, positioning a preliminary planning construction area of a road, extracting a GIS global map of the preliminary planning construction area of the road from a data warehouse, marking the preliminary planning construction area as a reference GIS global map, mapping and outlining the reference GIS global map to obtain a road design body surface pre-coverage area, counting to obtain each overlapped gathering branch trunk of the road design body surface pre-coverage area, marking the overlapped gathering branch trunk as each pre-gathering branch trunk, counting to obtain traffic data of each pre-gathering branch trunk as a first road design element, and marking a as a 1 Calibrating;
s3: counting basic construction parameters of the road from the road design digital virtual drawing, marking the basic construction parameters as a second design element of the road, and taking a as 2 Calibrating;
s4: according to the reference GIS global map, extracting the current construction constraint information of the road design body surface pre-covered region from the reference GIS global map, marking the current construction constraint information as a third design element of the road, and taking a as a 3 Calibrating;
s5: the convergence process results in a road design element set a, a= { a1, a2, a3}.
3. The road design practicability evaluation method based on big data according to claim 2, wherein: the analysis obtains practical degree measurement indicating coefficients of the road design, and the specific process comprises the following steps:
extracting the expected total casting cost of the road according to the road cost index data, and marking the total casting cost asAnd is imported into a comprehensive evaluation analysis modelAnalyzing to obtain practical degree measurement indicating coefficients of the road design, and comprehensively evaluating and analyzing the model as follows:
wherein, ψ is a practical degree measurement indicating coefficient of road design, ψ 1 is a practical degree indicating coefficient of a first design element of a road, ψ 2 is a construction constraint indicating coefficient of a second design element of a road, ψ 3 is a construction constraint indicating coefficient of a third design element of a road, ψ 0 and Φ 1 are a practical degree indicating compensation value and an supplementary correction value of a predefined first design element respectively, Φ2 is an integrated supplementary correction value of the second design element of the predefined road and the third design element of the road, η and η "are reference deviation thresholds between the predefined practical degree indicating coefficient and the construction constraint indicating coefficient and deviation threshold loss factors of unit values corresponding to expected total casting costs of the road respectively.
4. A road design practicality degree assessment method based on big data according to claim 3, wherein: the practical degree indication coefficient of the first design element of the road comprises the following specific processing procedures:
according to the traffic data of each pre-convergence branch trunk, including the average motor vehicle flow, the average non-motor vehicle flow and the average pedestrian flow, the traffic data are sequentially recorded as Z q→1 、Z q→2 、Z q→3 ；
Meanwhile, counting the occurrence frequency of traffic accidents of all the pre-convergence branch trunk lines from traffic data, setting the average driving density of a peak period, the arrangement length of single highest congestion driving and the single highest congestion duration, and sequentially marking as Pq, ρq, xq and Tq, wherein q is the number of each pre-convergence branch trunk line, q=1, 2, and q ', q' is the total number of the pre-convergence branch trunk lines;
analyzing the traffic flow influence value of the pre-convergence branch trunk, wherein the constraint execution type is as follows:
wherein ω1 is the traffic flow influence value of the pre-convergence branch trunk, delta 0 Setting a correction coefficient of the traffic flow influence value;
analyzing traffic jam evaluation values of the pre-convergence branch trunk, wherein constraint execution is as follows:
wherein,
in the above description, ω2 is a traffic jam evaluation value of the pre-convergence branch trunk, e is a natural constant, γ1 and γ2 are traffic jam evaluation factors of a set unit arrangement length and a set unit duration of the highest congestion, ρ0 is a preset reference traffic density of the branch trunk, and γ3 and γ4 are correction factors of a set traffic accident occurrence frequency and a set traffic density of a peak period in sequence;
Comprehensively analyzing practical degree indication coefficients of a first design element of a road, wherein constraint execution formulas are as follows:
wherein B1 and B2 are the practical indication evaluation weight factors of the traffic flow influence value and the traffic jam evaluation value of the preset pre-convergence branch trunk in sequence.
5. A road design practicality degree assessment method based on big data according to claim 3, wherein: the construction constraint indication coefficient of the second design element of the road comprises the following specific processing procedures:
extracting the total extension length, the average design construction width and the number of intersections of the road design according to the basic construction parameters of the road, and sequentially recording as L, K, C;
analyzing construction constraint indication coefficients of a second design element of the road, wherein the constraint execution formula is as follows:
wherein lambda is a construction constraint evaluation factor of a second design element of the road, L 0 、K 0 、C 0 The road design reference extension length, the reference design construction width and the reference design intersection number are predefined in sequence, and upsilon 1, upsilon 2 and upsilon 3 are respectively the set road design total extension length, the average design construction width and the indication weight proportion coefficient of the intersection number.
6. The road design practicability evaluation method based on big data according to claim 5, wherein: the construction constraint evaluation factor of the second design element of the road comprises the following specific processing procedures:
Extracting the preset gradient of the road at each slope point and the length of the slope section thereof from the basic construction parameters, and marking the gradient as theta in sequence w 、L w W is the number of each slope site, w=1, 2,..w ', w' is the number of slope bits;
extracting the total length and the curvature radius of the road in each curve section, and marking the total length and the curvature radius as L in sequence r 、R r R is the number of each curve segment, r=1, 2,..r ', r' is the number of curve segments;
extracting the total occupied length and the total design specification of various road infrastructure architectures of the road, and sequentially marking the total occupied length and the total design specification as L y 、V y Y is the number of each type of road infrastructure, y=1, 2, y ', y' is the total number of road infrastructure;
and processing construction constraint evaluation factors for constructing a second design element of the road, wherein the constraint conditions are as follows:
wherein:
in the above-mentioned method, the step of,the method comprises the steps of respectively setting evaluation influence factors of a slope, a curve and a road infrastructure, wherein τ1 and θ0 are respectively a construction constraint evaluation characterization coefficient and a reference design gradient of a predefined slope section unit length, ζ1 and ζ2 are construction constraint evaluation weights of a slope point gradient and a slope section length, deltaL, τ2 and R0 are respectively an evaluation characterization coefficient and a curve reference definition curvature radius of a predefined reference curve section total length and a curve total length unit deviation length, ζ3 and ζ4 are construction constraint evaluation weights of the curve total length and the curve curvature radius, L is a road design total extension length, ny is a reference definition length ratio of the predefined road infrastructure y, and χy is a construction constraint evaluation characterization coefficient of a unit value corresponding to the total design specification of the predefined road infrastructure y.
7. A road design practicality degree assessment method based on big data according to claim 3, wherein: the construction constraint indication coefficient of the third design element of the road comprises the following specific processing procedures:
extracting the coverage area of the susceptibility area and the population total density of the affiliated path area from the pre-coverage area according to the current construction constraint information of the pre-coverage area of the road design body surface, and marking the population total density as S (YG) and J;
and analyzing construction constraint indication coefficients of a third design element of the road, wherein the constraint conditions are as follows:
in the middle ofKappa 1 and kappa 2 are construction constraint indication factors of unit values corresponding to the set coverage unit area of the susceptible region and the total population density of the region,and adding compensation coefficients for the construction constraint indication of the third design element.
8. The road design practicability evaluation method based on big data according to claim 7, wherein: the construction constraint instruction of the third design element is additionally provided with a compensation coefficient, and the specific processing process is as follows:
extracting the total coverage area of various types of landforms according to a reference GIS global map, positioning and extracting the central axis extension line of a road design body surface pre-coverage region, marking as a design reference line, carrying out equal proportion screening point layout at set intervals, extracting the elevation value and the ground surface gradient of each screening point, and counting the average elevation difference between adjacent screening points to be delta H;
And (3) building constraint instruction of the third design element is analyzed, compensation coefficients are additionally arranged, and constraint conditions are as follows:
wherein,
in the above, S u Is the total coverage area of the landform type u, delta S u 、φ 1 Defining coverage areas and landform construction constraint indication correction coefficients, H, for references of predefined landform types u, respectively p 、Q p The elevation value and the ground surface gradient of the screening point p are respectively H ', Q' 0 、ΔH 0 Defining a deviation elevation value, a reference surface inclination, and a defined elevation difference, σ, between adjacent screening points for predefined screening points in sequence1. σ2 and σ3 are respectively set elevation values, ground inclination and construction constraint indication correction coefficients of average elevation differences of the screening points, u is the number of various types of landforms, u=1, 2, and p is the number of each screening point, p=1, 2, and p ', p' is the total type number of landforms.
9. Road design practical degree evaluation device based on big data, its characterized in that: comprising the following steps: a processor, a memory and a network interface connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieves the computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of the preceding claims 1-8.
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