CN112116257B - Engineering cost evaluation intelligent management system based on big data - Google Patents
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Abstract
The invention discloses a project cost evaluation intelligent management system based on big data, which comprises a road soil type detection and analysis module, a soil parameter database, a road section total length statistic module, a road section pouring volume statistic module, a road section pouring cost evaluation module and a comprehensive road pouring cost evaluation module, wherein the invention counts the road section pouring volume corresponding to each soil type by detecting and analyzing the soil type of the whole road and the road section total length corresponding to the corresponding soil type according to the width of the road to be poured and the road pouring thickness corresponding to each soil type, further obtains the pouring cost of the road section pouring volume corresponding to each soil type, finally obtains the comprehensive road pouring evaluation cost, realizes the intelligent and accurate evaluation of the road pouring cost, and remedies the problem of low accuracy of the existing road pouring cost evaluation, the requirement of accurate evaluation of modern road pouring cost is met.
Description
Technical Field
The invention belongs to the technical field of engineering cost management, and particularly relates to an engineering cost evaluation intelligent management system based on big data.
Background
The project cost evaluation refers to the budget of all costs spent on certain project construction, in the middle of the building project, the management of the city building project cost is a very key link in the building project, and the accurate and reasonable building project cost control has important reference significance for projects such as project capital raising and the like.
In the same way, for the road pouring project, the cost of the road to be poured needs to be accurately evaluated before the road pouring is carried out, so as to ensure the normal operation of the road pouring money, the step of evaluating the road pouring cost is to count the pouring volume of the road to be poured according to the length, the width and the thickness of the road to be poured, secondly, counting various expenses required by the pouring volume of a unit road, finally obtaining the pouring cost of the whole road, counting the pouring thickness of the road to be poured in the traditional road pouring evaluation operation, the statistical pouring thicknesses of roads are the same, the problem that whether the soil types of the whole road are the same or not is not considered, the soil types of all the sections on the road are different, the casting thicknesses of the engineering construction cost evaluation system are different, and the problem of low evaluation accuracy can be caused by adopting the same casting thickness for casting cost evaluation.
Disclosure of Invention
The invention aims to provide an intelligent engineering cost evaluation management system which is high in evaluation accuracy and aims at road pouring evaluation and is based on big data, aiming at the problems provided by the background technology.
The purpose of the invention can be realized by the following technical scheme:
a project cost evaluation intelligent management system based on big data comprises a road soil type detection analysis module, a soil parameter database, a road section total length statistic module, a road section pouring volume statistic module, a road section pouring cost evaluation module and a comprehensive road pouring cost evaluation module;
the road soil type detection and analysis module comprises a road starting point acquisition module, a soil detection module and a soil type analysis module, and is used for detecting soil of a road from a road starting point to a road end point according to the length of the road to be poured and analyzing each soil type corresponding to the whole road;
the road starting point acquisition module is used for acquiring a starting point and an end point of a road according to the length of the road to be poured;
the soil detection module is used for sampling soil of a road to be poured from a road starting point through a soil detector to obtain sampling soil of each point, and processing the sampling soil to obtain type parameters of the sampling soil;
the soil type analysis module is used for comparing the acquired type parameters of the sampled soil with type parameters corresponding to various soil types stored in the soil parameter database, screening the soil types of each point of the road, analyzing the soil types of two adjacent points of the road according to the sequence from the starting point to the end point of the road, if the soil types of the two adjacent points of the starting point of the road are the same, taking the latter of the two adjacent points and the next point as the next adjacent point, comparing the soil types, if the soil types of the adjacent points at the moment are different, counting the length from the former of the adjacent points at the moment to the starting point of the road, taking the length as the road section length corresponding to the soil type to which the former of the adjacent points at the moment belongs, and simultaneously taking the latter of the adjacent points at the moment as the former of the next adjacent point, comparing the soil types, the road segment length corresponding to the soil type of the road at the point is counted until the soil types at the road end point are compared, so that the road segment length corresponding to two adjacent soil types of the whole road is obtained, and the road segment length is sent to a road segment total length counting module;
the soil parameter database stores type parameters corresponding to various soil types, road pouring thicknesses corresponding to various soil types and influence coefficients of pouring materials, labor, machines and maintenance cost of a unit pouring volume of a road.
The road segment total length counting module is connected with the road soil type detection and analysis module, receives road segment lengths corresponding to two adjacent soil types sent by the road soil type detection and analysis module, compares the adjacent soil types of the whole road, counts the number of the soil types with the same soil type and the number of each road segment under each same soil type if the same soil type exists, accumulates the counted road segment lengths corresponding to each same soil type to obtain the road segment total length corresponding to each same soil type, thereby obtaining each soil type of the whole road and the road segment total length corresponding to the corresponding soil type to form a soil type road segment length set Lp(lp1,lp2,...,lpj....,lpk)，lpjExpressed as the total length of the road section corresponding to the pj-th soil type and the total length of the road sectionThe statistical module sends the soil type road segment length set to a road segment pouring volume statistical module;
the road section pouring volume counting module is connected with the road section total length counting module, receives all soil types of the whole road and the road section total length of the corresponding soil types sent by the road section total length counting module, compares the received all soil types of the whole road with the road pouring thicknesses corresponding to all the soil types stored in the soil parameter database, screens the road pouring thicknesses corresponding to all the soil types of the whole road, and simultaneously obtains the width of the road to be poured;
the road section pouring cost evaluation module is connected with the road section pouring volume counting module, receives the road section pouring volumes corresponding to all soil types of the road to be poured and sent by the road section pouring volume counting module, counts the pouring material cost, labor cost, machine cost and maintenance cost corresponding to the unit road section pouring volume corresponding to all soil types according to the received road section pouring volumes corresponding to all soil types, further evaluates the pouring cost of the road section pouring volume corresponding to all soil types, and sends the pouring cost to the comprehensive road section pouring cost evaluation module;
the comprehensive road pouring cost evaluation module is connected with the road section pouring cost evaluation module, receives pouring cost of the road section pouring volume corresponding to each soil type sent by the road section pouring cost evaluation module, and superposes the received pouring cost of the road section pouring volume corresponding to each soil type to obtain the comprehensive road pouring cost.
According to an implementation mode of the invention, the concrete process of the soil detection module for sampling road soil to be poured and acquiring soil type parameters comprises the following steps:
step S1: the method comprises the following steps of sampling soil at a road starting point by a soil detector from the road starting point:
step S11: acquiring the depth of the soil at the starting point of the road, and recording the depth as H;
step S12: dividing the obtained soil depth of the road starting point by n equal parts, wherein the soil depth of each equal part is taken as a sampling depth;
step S13: sampling soil under the sampling depth at each sampling depth, numbering the obtained sampling soil according to the sequence of the sampling depth from shallow to deep, and marking the obtained sampling soil as 1,2.. i.. m in sequence, wherein the weights of the sampling soil under the sampling depths are the same;
step S2: respectively uniformly mixing and flattening the sampled soil at each sampling depth, carrying out image acquisition on the flattened sampled soil to obtain an image of each sampled soil, and simultaneously carrying out image enhancement and noise removal digital processing on the obtained image of each sampled soil to obtain processed image of each sampled soil;
step S3: obtaining type parameters of each sampling soil according to the processed sampling soil images to form a sampling soil type parameter set Dw(dw1,dw2,...,dwi,...,dwm)，dwi is a type parameter of the ith sampling soil, w is a type parameter, and w is wc or wp; wc and wp are respectively expressed as color chroma and particle surface area, the color chroma value of each sampling soil is extracted from the sampling soil type parameter set, the average value of the color chroma is calculated to obtain the soil color average chroma of the road starting point, meanwhile, the particle surface area of each sampling soil is extracted from the sampling soil type parameter set, and the average value of the particle surface area is calculated to obtain the soil particle average surface area under the road starting point;
step S4: and continuing to sample soil at the next point and acquire soil type parameters along the road terminal direction by using the soil detecting instrument according to the sequence of the steps S1-S3.
According to one possible mode of the invention, the soil depth is the depth from the soil base to the plough layer soil.
According to an implementation manner of the invention, the calculation formula of the soil color average chroma of the road starting point is
dwci represents the color chromaticity of the ith sampling soil at the starting point of the road, m represents the total sampling soil at the starting point of the road,
the calculation formula of the average surface area of the soil particles at the starting point of the road is
dwpi represents the particle surface area of the ith soil sample from the start of the road.
According to an implementation manner of the invention, the soil type analysis module analyzes the soil type by extracting the soil color chromaticity range and the particle surface area range corresponding to each soil type in the soil parameter database, comparing the obtained soil color average chromaticity and the obtained soil particle average surface area of each point of the road with the soil color chromaticity range and the particle surface area range corresponding to each soil type, and screening the soil types corresponding to the soil color average chromaticity and the soil particle average surface area of each point of the road.
According to a mode that can be realized by the invention, if the same soil type does not exist in the process of comparing the adjacent soil types of the whole road, the total length statistic module of the road section determines the number of the adjacent soil types as the number of the soil types of the whole road, and the road section length corresponding to each soil type is the total length of the road section corresponding to each soil type of the whole road.
According to an implementation manner of the invention, the calculation formula of the pouring volume of the road section corresponding to each soil type of the road to be poured is Vpj＝lpj*w*tpj，VpjExpressed as the pouring volume of the road section corresponding to the pj-th soil type, w is expressed as the width of the road to be poured, and lpjExpressed as total length of road section, t, corresponding to the pj-th soil typepjExpressed as the pj-th soil type correspondenceThe thickness of the road is poured.
According to an implementation manner of the invention, the casting cost evaluation calculation formula of the casting volume of the road section corresponding to each soil type is Qpj＝(α*qm pj+β*qt pj+γ*qr pj+ε*qs pj)*Vpj，qm pjExpressed as casting material cost per casting volume, q, corresponding to the pj-th soil typet pjExpressed as the casting labor cost per casting volume corresponding to the pj-th soil type, qr pjCasting machine cost, q, expressed as unit casting volume corresponding to the pj-th soil types pjThe casting maintenance cost of the unit casting volume corresponding to the pj-th soil type is expressed, and alpha, beta, gamma and epsilon are respectively expressed as influence coefficients of casting materials, labor, machines and maintenance cost of the unit casting volume of the road.
The invention has the beneficial effects that:
1. the invention detects the road soil from the road starting point of the road to be poured and analyzes the soil type, and count the soil type of the whole road and the total length of the road section corresponding to the corresponding soil type, meanwhile, according to the width of the road to be poured and the pouring thickness of the road corresponding to each soil type, the pouring volume of the road section corresponding to each soil type is counted, and the pouring cost of the pouring volume of the road section corresponding to each soil type is obtained by combining various pouring expenses corresponding to the pouring volume of the unit road section corresponding to each soil type, and then obtain comprehensive road and pour aassessment cost, realized the accurate aassessment of road pouring cost, remedied the not high problem of the degree of accuracy of current road pouring cost aassessment, had easy operation and characteristics that the practicality is strong, satisfied the requirement that modern road poured the accurate aassessment of cost.
2. The method for detecting and acquiring the type parameters of the soil of the road obtains the depth of the soil of a certain point of the road, equally divides the depth of the soil of the point, samples the soil at each equally divided depth of the soil, and acquires the type parameters of each sampled soil of the obtained sampled soil of each equally divided depth by adopting a digital image processing mode, thereby obtaining the average value corresponding to each type parameter of the soil of the point of the road, avoiding the detection error of the soil type parameters caused by single sampled soil, enabling the obtained soil type parameters of the point of the road to be closer to the real numerical value, and providing reliable parameter data for the soil type analysis of the point of the road in the future.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a system module of the present invention;
FIG. 2 is a block diagram of a road soil type detection and analysis module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an intelligent management system for engineering cost evaluation based on big data includes a road soil type detection and analysis module, a soil parameter database, a road segment total length statistic module, a road segment casting volume statistic module, a road segment casting cost evaluation module, and a comprehensive road casting cost evaluation module.
The road soil type detection and analysis module comprises a road starting point acquisition module, a soil detection module and a soil type analysis module, and the road soil type detection and analysis module is used for detecting soil of a road from a road starting point to a road end point according to the length of the road to be poured and analyzing each soil type corresponding to the whole road.
The road starting point acquisition module is used for acquiring a starting point and an end point of a road according to the length of the road to be poured;
the soil detection module is used for sampling soil of a road to be poured from a road starting point through a soil detector to obtain sampling soil of each point, processing the sampling soil to obtain type parameters of the sampling soil, and the concrete process comprises the following steps:
step S1: the method comprises the following steps of sampling soil at a road starting point by a soil detector from the road starting point:
step S11: acquiring the depth of the soil at the starting point of the road, recording the depth as H, wherein the depth of the soil is the depth from a soil base to a plough layer;
step S12: dividing the obtained soil depth of the road starting point by n equal parts, wherein the soil depth of each equal part is taken as a sampling depth;
step S13: sampling soil under the sampling depth at each sampling depth, numbering the obtained sampling soil according to the sequence of the sampling depth from shallow to deep, and marking the obtained sampling soil as 1,2.. i.. m in sequence, wherein the weights of the sampling soil under the sampling depths are the same;
step S2: respectively uniformly mixing and flattening the sampled soil at each sampling depth, carrying out image acquisition on the flattened sampled soil to obtain an image of each sampled soil, and simultaneously carrying out image enhancement and noise removal digital processing on the obtained image of each sampled soil to obtain processed image of each sampled soil;
step S3: obtaining type parameters of each sampling soil according to the processed sampling soil images to form a sampling soil type parameter set Dw(dw1,dw2,...,dwi,...,dwm)，dwi is a type parameter of the ith sampling soil, w is a type parameter, and w is wc or wp; wc and wp are respectively expressed as color chroma and particle surface area, the color chroma value of each sampling soil is extracted from the sampling soil type parameter set, and the average value of the color chroma is calculated to obtain a roadAverage soil color shade at starting point
dwci represents the color chroma of ith sampling soil at the starting point of the road, m represents the total number of sampling soil at the starting point of the road, and meanwhile, the particle surface area of each sampling soil is extracted from the sampling soil type parameter set to carry out the average calculation of the particle surface area to obtain the average surface area of the soil particles at the starting point of the road
dwpi represents the particle surface area of the ith sampling soil of the starting point of the road;
step S4: and continuing to sample soil at the next point and acquire soil type parameters along the road terminal direction by using the soil detecting instrument according to the sequence of the steps S1-S3.
In the embodiment, the detection and type parameter acquisition of the road soil are realized by acquiring the depth of the soil at a certain point of the road, equally dividing the depth of the soil at the certain point, sampling the soil at each equally divided depth of the soil, acquiring the type parameter of each sampled soil from the sampled soil at each equally divided depth of the soil in a digital image processing mode, and further acquiring the average value corresponding to each type parameter of the soil at the point of the road, thereby avoiding the detection error of the soil type parameter caused by a single sampled soil, enabling the obtained soil type parameter at the point of the road to be closer to a real numerical value, and providing reliable parameter data for the subsequent analysis of the soil type at the point of the road.
The soil type analysis module is used for extracting a soil color chromaticity range and a particle surface area range corresponding to each soil type in the soil parameter database, comparing the obtained soil color average chromaticity and the obtained soil particle average surface area of each road point with the soil color chromaticity range and the particle surface area range corresponding to each soil type, and screening the soil types corresponding to the soil color average chromaticity and the soil particle average surface area of each road point. And analyzing the soil types of two adjacent points of the road according to the sequence from the starting point to the end point of the road, if the soil types of the two adjacent points of the starting point of the road are the same, then the latter two adjacent points and the next road point are taken as the next adjacent road point to compare the soil types, if the soil types of the adjacent road points at the moment are different, then the length from the former of the adjacent road points to the road starting point at the moment is counted as the road section length corresponding to the soil type to which the former of the adjacent road points at the moment belongs, meanwhile, the latter of the adjacent road points at the moment is used as the former of the next adjacent road point to carry out soil type comparison, the road segment length corresponding to the soil type of the road at the point is counted until the soil type comparison of the road end point is finished, and obtaining the road section length corresponding to two adjacent soil types of the whole road, and sending the road section length to a road section total length statistical module.
The soil parameter database stores type parameters corresponding to various soil types, road pouring thicknesses corresponding to various soil types and influence coefficients of pouring materials, labor, machines and maintenance cost of a unit pouring volume of a road, wherein the soil types comprise sandy soil, clay soil, loam and the like.
The road segment total length counting module is connected with the road soil type detection and analysis module, receives the road segment lengths corresponding to two adjacent soil types sent by the road soil type detection and analysis module, compares the adjacent soil types of the whole road, if the same soil types do not exist, the number of the adjacent soil types is the number of the soil types of the whole road, the road segment length corresponding to each soil type is the road segment total length corresponding to each soil type of the whole road, if the same soil types exist, the number of the soil types with the same soil types and the number of the road segments under each same soil type are counted, the road segment lengths corresponding to each soil type are accumulated to obtain the road segment total length corresponding to each soil type, and the road segment total length corresponding to each soil type of the whole road is obtained, form a soil type road segment length set Lp(lp1,lp2,...,lpj....,lpk)，lpjExpressed as the total length of the road section corresponding to the pj-th soil typeAnd the total segment length statistical module sends the soil type road segment length set to the road segment pouring volume statistical module.
In this embodiment, adjacent soil types on the whole road are compared, and the lengths of the road sections corresponding to the same soil type are accumulated to obtain the total lengths of the soil types of the whole road and the road sections corresponding to the corresponding soil types, so as to provide a data basis for the road section casting volume corresponding to each soil type of the road to be cast later.
The road section pouring volume counting module is connected with the road section total length counting module, receives all soil types of the whole road sent by the road section total length counting module and road section total lengths of corresponding soil types, compares the received all soil types of the whole road with road pouring thicknesses corresponding to all soil types stored in a soil parameter database, screens the road pouring thicknesses corresponding to all soil types of the whole road, and simultaneously obtains the width of the road to be poured, the road section pouring volume counting module counts the road section pouring volume V corresponding to all soil types of the whole road to be poured according to the road section total lengths corresponding to all soil types of the whole road to be poured, the road pouring thicknesses and the width of the road to be pouredpj＝lpj*w*tpj，VpjExpressed as the pouring volume of the road section corresponding to the pj-th soil type, w is expressed as the width of the road to be poured, and lpjExpressed as total length of road section, t, corresponding to the pj-th soil typepjAnd the pouring volume of the road section corresponding to each soil type is counted by the road section pouring volume counting module and is sent to the road section pouring cost evaluation module.
The road section pouring cost evaluation module is connected with the road section pouring volume counting module, receives the road section pouring volumes corresponding to all the soil types of the road to be poured and sent by the road section pouring volume counting module, counts the pouring material cost, the labor cost, the machine cost and the maintenance cost corresponding to the unit road section pouring volume corresponding to all the soil types according to the received road section pouring volumes corresponding to all the soil types,further evaluating pouring construction cost Q of pouring volume of road section corresponding to each soil typepj＝(α*qm pj+β*qt pj+γ*qr pj+ε*qs pj)*Vpj，QpjThe casting cost of the road section casting volume corresponding to the pj-th soil type qm pjExpressed as casting material cost per casting volume, q, corresponding to the pj-th soil typet pjExpressed as the casting labor cost per casting volume corresponding to the pj-th soil type, qr pjCasting machine cost, q, expressed as unit casting volume corresponding to the pj-th soil types pjAnd the casting cost evaluation module of the road section sends the counted casting cost of the road section casting volume corresponding to each soil type to the comprehensive road casting cost evaluation module.
The comprehensive road pouring cost evaluation module is connected with the road section pouring cost evaluation module, receives pouring cost of the road section pouring volume corresponding to each soil type sent by the road section pouring cost evaluation module, and superposes the received pouring cost of the road section pouring volume corresponding to each soil type to obtain the comprehensive road pouring cost.
According to the method, the road soil is detected and analyzed from the road starting point through the road to be poured, the soil type of the whole road and the total length of the road section corresponding to the corresponding soil type are counted, meanwhile, the pouring volume of the road section corresponding to each soil type is counted according to the width of the road to be poured and the pouring thickness of the road corresponding to each soil type, the pouring cost of the pouring volume of the road section corresponding to each soil type is obtained by combining various pouring costs corresponding to the pouring volume of the unit road section corresponding to each soil type, further, the comprehensive road pouring evaluation cost is obtained, the intelligent and accurate evaluation of the road pouring cost is realized, the problem that the accuracy of the existing road pouring cost evaluation is not high is solved, the method has the characteristics of being simple to operate and high in practicability, and the requirement of the accurate evaluation of the modern road pouring cost is met.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (8)
1. The utility model provides a construction cost aassessment intelligent management system based on big data which characterized in that: the system comprises a road soil type detection and analysis module, a soil parameter database, a road section total length statistic module, a road section pouring volume statistic module, a road section pouring cost evaluation module and a comprehensive road pouring cost evaluation module;
the road soil type detection and analysis module comprises a road starting point acquisition module, a soil detection module and a soil type analysis module, and is used for detecting soil of a road from a road starting point to a road end point according to the length of the road to be poured and analyzing each soil type corresponding to the whole road;
the road starting point acquisition module is used for acquiring a starting point and an end point of a road according to the length of the road to be poured;
the soil detection module is used for sampling soil of a road to be poured from a road starting point through a soil detector to obtain sampling soil of each point, and processing the sampling soil to obtain type parameters of the sampling soil;
the soil type analysis module is used for comparing the acquired type parameters of the sampled soil with type parameters corresponding to various soil types stored in the soil parameter database, screening the soil types of each point of the road, analyzing the soil types of two adjacent points of the road according to the sequence from the starting point to the end point of the road, if the soil types of the two adjacent points of the starting point of the road are the same, taking the latter of the two adjacent points and the next point as the next adjacent point, comparing the soil types, if the soil types of the adjacent points at the moment are different, counting the length from the former of the adjacent points at the moment to the starting point of the road, taking the length as the road section length corresponding to the soil type to which the former of the adjacent points at the moment belongs, and simultaneously taking the latter of the adjacent points at the moment as the former of the next adjacent point, comparing the soil types, the road segment length corresponding to the soil type of the road at the point is counted until the soil types at the road end point are compared, so that the road segment length corresponding to two adjacent soil types of the whole road is obtained, and the road segment length is sent to a road segment total length counting module;
the soil parameter database stores type parameters corresponding to various soil types, road pouring thicknesses corresponding to various soil types and influence coefficients of pouring materials, labor, machines and maintenance cost of a unit pouring volume of a road;
the road segment total length counting module is connected with the road soil type detection and analysis module, receives road segment lengths corresponding to two adjacent soil types sent by the road soil type detection and analysis module, compares the adjacent soil types of the whole road, counts the number of the soil types with the same soil type and the number of each road segment under each same soil type if the same soil type exists, accumulates the counted road segment lengths corresponding to each same soil type to obtain the road segment total length corresponding to each same soil type, thereby obtaining each soil type of the whole road and the road segment total length corresponding to the corresponding soil type to form a soil type road segment length set Lp(lp1,lp2,...,lpj....,lpk)，lpjThe total length of the road section corresponding to the pj-th soil type is represented, and the total length of the road section statistical module sends the soil type road section length set to a road section pouring volume statistical module;
the road section pouring volume counting module is connected with the road section total length counting module, receives all soil types of the whole road and the road section total length of the corresponding soil types sent by the road section total length counting module, compares the received all soil types of the whole road with the road pouring thicknesses corresponding to all the soil types stored in the soil parameter database, screens the road pouring thicknesses corresponding to all the soil types of the whole road, and simultaneously obtains the width of the road to be poured;
the road section pouring cost evaluation module is connected with the road section pouring volume counting module, receives the road section pouring volumes corresponding to all soil types of the road to be poured and sent by the road section pouring volume counting module, counts the pouring material cost, labor cost, machine cost and maintenance cost corresponding to the unit road section pouring volume corresponding to all soil types according to the received road section pouring volumes corresponding to all soil types, further evaluates the pouring cost of the road section pouring volume corresponding to all soil types, and sends the pouring cost to the comprehensive road section pouring cost evaluation module;
the comprehensive road pouring cost evaluation module is connected with the road section pouring cost evaluation module, receives pouring cost of the road section pouring volume corresponding to each soil type sent by the road section pouring cost evaluation module, and superposes the received pouring cost of the road section pouring volume corresponding to each soil type to obtain the comprehensive road pouring cost.
2. The intelligent management system for engineering cost assessment based on big data according to claim 1, characterized in that: the concrete process of the soil detection module for sampling road soil to be poured and acquiring soil type parameters comprises the following steps:
step S1: the method comprises the following steps of sampling soil at a road starting point by a soil detector from the road starting point:
step S11: acquiring the depth of the soil at the starting point of the road, and recording the depth as H;
step S12: dividing the obtained soil depth of the road starting point by n equal parts, wherein the soil depth of each equal part is taken as a sampling depth;
step S13: sampling soil under the sampling depth at each sampling depth, numbering the obtained sampling soil according to the sequence of the sampling depth from shallow to deep, and marking the obtained sampling soil as 1,2.. i.. m in sequence, wherein the weights of the sampling soil under the sampling depths are the same;
step S2: respectively uniformly mixing and flattening the sampled soil at each sampling depth, carrying out image acquisition on the flattened sampled soil to obtain an image of each sampled soil, and simultaneously carrying out image enhancement and noise removal digital processing on the obtained image of each sampled soil to obtain processed image of each sampled soil;
step S3: obtaining type parameters of each sampling soil according to the processed sampling soil images to form a sampling soil type parameter set Dw(dw1,dw2,...,dwi,...,dwm)，dwi is a type parameter of the ith sampling soil, w is a type parameter, and w is wc or wp; wc and wp are respectively expressed as color chroma and particle surface area, the color chroma value of each sampling soil is extracted from the sampling soil type parameter set, the average value of the color chroma is calculated to obtain the soil color average chroma of the road starting point, meanwhile, the particle surface area of each sampling soil is extracted from the sampling soil type parameter set, and the average value of the particle surface area is calculated to obtain the soil particle average surface area under the road starting point;
step S4: and continuing to sample soil at the next point and acquire soil type parameters along the road terminal direction by using the soil detecting instrument according to the sequence of the steps S1-S3.
3. The intelligent management system for engineering cost assessment based on big data according to claim 2, characterized in that: the soil depth is the depth from the soil base to the plough layer soil.
4. The intelligent management system for engineering cost evaluation based on big data as claimed in claim 2The method is characterized in that: the calculation formula of the soil color average chroma of the road starting point is
dwci represents the color chromaticity of the ith sampling soil at the starting point of the road, m represents the total sampling soil at the starting point of the road,
the calculation formula of the average surface area of the soil particles at the starting point of the road is
dwpi represents the particle surface area of the ith soil sample from the start of the road.
5. The intelligent management system for engineering cost assessment based on big data according to claim 1, characterized in that: the soil type analysis method of the soil type analysis module comprises the steps of extracting a soil color chromaticity range and a particle surface area range corresponding to each soil type in a soil parameter database, comparing the obtained soil color average chromaticity and the obtained soil particle average surface area of each point of the road with the soil color chromaticity range and the particle surface area range corresponding to each soil type, and screening the soil color average chromaticity and the soil type corresponding to the soil particle average surface area of each point of the road.
6. The intelligent management system for engineering cost assessment based on big data according to claim 1, characterized in that: and if the same soil types do not exist in the process of comparing the adjacent soil types of the whole road, the total road segment length statistic module determines the number of the adjacent soil types as the number of the soil types of the whole road, and determines the road segment length corresponding to each soil type as the total road segment length corresponding to each soil type of the whole road.
7. The intelligent management system for engineering cost assessment based on big data according to claim 1, characterized in that: each soil type of the road to be pouredThe calculation formula of the corresponding road section pouring volume is Vpj＝lpj*w*tpj，VpjExpressed as the pouring volume of the road section corresponding to the pj-th soil type, w is expressed as the width of the road to be poured, and lpjExpressed as total length of road section, t, corresponding to the pj-th soil typepjExpressed as the road casting thickness corresponding to the pj-th soil type.
8. The intelligent management system for engineering cost assessment based on big data according to claim 1, characterized in that: the pouring cost evaluation calculation formula of the pouring volume of the road section corresponding to each soil type is Qpj＝(α*qm pj+β*qt pj+γ*qr pj+ε*qs pj)*Vpj，QpjThe casting cost of the road section casting volume corresponding to the pj-th soil type qm pjExpressed as casting material cost per casting volume, q, corresponding to the pj-th soil typet pjExpressed as the casting labor cost per casting volume corresponding to the pj-th soil type, qr pjCasting machine cost, q, expressed as unit casting volume corresponding to the pj-th soil types pjThe casting maintenance cost of the unit casting volume corresponding to the pj-th soil type is expressed, and alpha, beta, gamma and epsilon are respectively expressed as influence coefficients of casting materials, labor, machines and maintenance cost of the unit casting volume of the road.
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