CN112232685B - Engineering quality supervision acceptance real-time detection analysis management system based on big data - Google Patents
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Abstract
The invention discloses a big data-based real-time detection, analysis and management system for supervision, acceptance and check of engineering quality, which comprises a region division module, a detection point arrangement module, a gravity application module, a deformation displacement detection module, a deformation displacement analysis module, a quality parameter detection module, a quality parameter analysis module, an analysis server, an early warning and reminding module, a display module and a storage database; according to the invention, the detection points are distributed in each sub-area, the deformation displacement of each detection point in each sub-area after pressure is applied is detected, the average deformation displacement of the viaduct engineering area is calculated, whether the bearing of the viaduct engineering meets the index or not is analyzed, the quality parameter values in the viaduct engineering with the bearing meeting the index are detected, the comprehensive safety influence coefficient of the viaduct engineering quality is calculated, whether the viaduct engineering quality is qualified or not is judged by comparison, and the viaduct with the unqualified engineering quality is processed, so that the safety hidden danger of people going out is reduced, and the life and property safety of people is guaranteed.
Description
Technical Field
The invention relates to the field of project quality supervision and acceptance, in particular to a project quality supervision and acceptance real-time detection analysis management system based on big data.
Background
In order to keep urban traffic smooth and promote the rapid development of urban economy, urban viaduct road engineering is established as a very critical link in urban development, and viaduct roads are necessary for people to go out, so the engineering quality of viaduct roads is more and more concerned, and the viaduct road has direct influence on the life and property safety of people.
At present, the existing viaduct engineering quality acceptance detection is mainly through manual detection, the detection level of the detection method through manual visual inspection is low, the reliability is not high, and the deformation displacement of the viaduct deck after being pressed cannot be accurately detected through manual naked eyes, so that the accuracy and reliability of the detected engineering quality data are reduced, and the life and property safety of people are affected; meanwhile, the quality safety of the viaduct engineering cannot be comprehensively analyzed through manual experience, and the problems of quality safety in the later stage of the viaduct exist, so that a serious traffic accident is caused, the potential safety hazard of people in going out is increased, and great physical and psychological damage is brought to people.
Disclosure of Invention
The invention aims to provide a big data-based real-time detection, analysis and management system for supervision, acceptance and acceptance of engineering quality, which lays detection points on each divided sub-area through a detection point laying module, sequentially applies the same gravity to the detection points in each sub-area through a gravity applying module, detects the deformation displacement of each detection point in each sub-area, calculates the average deformation displacement of a viaduct engineering area, analyzes whether the bearing of the viaduct engineering meets an index, detects and analyzes the comparison difference value of each quality parameter value in the viaduct engineering with the bearing meeting the index, calculates the comprehensive safety influence coefficient of the viaduct engineering quality, compares and judges whether the viaduct engineering quality is qualified, processes the viaduct with unqualified engineering quality, and solves the problems in the background technology.
The purpose of the invention can be realized by the following technical scheme:
a big data-based real-time detection, analysis and management system for supervision, acceptance and check of engineering quality comprises a region division module, a detection point arrangement module, a gravity application module, a deformation displacement detection module, a deformation displacement analysis module, a quality parameter detection module, a quality parameter analysis module, an analysis server, an early warning reminding module, a display module and a storage database;
the analysis server is respectively connected with the deformation displacement analysis module, the quality parameter detection module, the quality parameter analysis module, the early warning reminding module, the display module and the storage database, the storage database is respectively connected with the region division module, the gravity application module and the quality parameter analysis module, the detection point arrangement module is connected with the gravity application module, the deformation displacement detection module is respectively connected with the gravity application module and the deformation displacement analysis module, and the quality parameter detection module is connected with the quality parameter analysis module;
the area dividing module is used for dividing the viaduct engineering area to be checked and accepted, dividing the viaduct engineering area into a plurality of sub-areas according to the distance between the central points of the supporting piers, numbering the sub-areas in sequence according to a set sequence, wherein the number of each sub-area is 1,2,.
The detection point arrangement module is used for arranging the detection points in each subregion, distributing the detection points on the central line of each subregion in a uniform distribution mode, numbering the positions of the detection points in sequence according to the arrangement sequence, counting the numbers of the detection point positions in each subregion, and forming a number set A of the detection point positions in each subregioni m(ai 1,ai 2,...,ai j,...,ai m)，ai jThe number of the jth detection point position in the ith sub-area is represented, and the number set of the detection point positions in all the sub-areas is sent to the gravity applying module;
the gravity applying module is used for receiving the number set of each detection point position in each sub-area sent by the detection point laying module, extracting the safety bearing capacity in the standard viaduct engineering index stored in the storage database, sequentially applying the same gravity to each detection point position in each received sub-area, wherein the applied gravity is the safety bearing capacity in the standard viaduct engineering index, and sending each detection point position in each sub-area after the gravity is applied to the deformation displacement detection module;
the deformation displacement detection module is used for receiving the positions of the detection points in the sub-areas after the gravity is applied and sent by the gravity application module, detecting the deformation displacement of the positions of the detection points in the sub-areas after the received gravity is applied and sending the detected deformation displacement of the positions of the detection points in the sub-areas to the deformation displacement analysis module;
the deformation displacement analysis module is used for receiving the deformation displacementThe deformation displacement of each detection point position in each subarea sent by the movement detection module is counted, the deformation displacement of each detection point position in each subarea is compared, the deformation displacement of the maximum detection point position in each subarea is screened, the deformation displacement of the maximum detection point position in each subarea is counted, and a deformation displacement set X of the maximum detection point position in each subarea is formedmax(x1 max,x2 max,...,xi max,...,xn max)，xi maxThe deformation displacement is expressed as the maximum detection point position in the ith sub-area, and the deformation displacement set of the maximum detection point position in each sub-area is sent to an analysis server;
the analysis server is used for receiving the deformation displacement set of the maximum detection point position in each sub-area sent by the deformation displacement analysis module, calculating the average deformation displacement of the viaduct engineering area to be checked and accepted, extracting the deformation displacement range in the standard viaduct engineering index stored in the storage database, comparing the average deformation displacement of the viaduct engineering area to be checked and accepted with the deformation displacement range in the standard viaduct engineering index, if the average deformation displacement of the viaduct engineering area to be checked and accepted is out of the deformation displacement range in the standard viaduct engineering index, indicating that the bearing of the viaduct engineering to be checked and accepted is not in accordance with the index, and sending the instruction that the bearing of the viaduct engineering to be checked and accepted is not in accordance with the index to the early warning module; if the average deformation displacement of the viaduct engineering area to be checked and accepted is within the deformation displacement range in the standard viaduct engineering index, the bearing conformity index of the viaduct engineering to be checked and accepted is shown, and the instruction of the bearing conformity index of the viaduct engineering to be checked and accepted is sent to the quality parameter detection module;
the quality parameter detection module is used for receiving the instruction which is sent by the analysis server and used for checking the bearing of the viaduct project to be checked and accepted, detecting each quality parameter in the viaduct project to be checked and accepted, and detecting the height of the bridge floor, the thickness of the bridge floor, the bearing area of the bridge piers and the distance between the center points of the bridge piers in the quality parameters of the viaduct project of each sub-areaCounting the quality parameter values in the viaduct engineering of each sub-area to form a quality parameter value set W in the viaduct engineering of each sub-areanR(w1R,w2R,...,wiR,...,wnR)，wiR represents the R-th quality parameter value in the viaduct engineering of the ith sub-area, and R is R ═ R1,R2,R3,R4，R1Expressed as the bridge deck height, R, in the quality parameter of the viaduct project2Expressed as the bridge deck thickness, R, in the quality parameter of the viaduct construction3Expressed as pier receiving area in the quality parameter of the viaduct construction, R4Representing the distance between the center points of the piers in the quality parameters of the viaduct engineering, and sending the numerical value set of each quality parameter in the viaduct engineering of each sub-area to a quality parameter analysis module;
the quality parameter analysis module is used for receiving each quality parameter value set in the viaduct engineering of each sub-area sent by the quality parameter detection module, extracting a bridge surface standard height range, a bridge surface standard thickness range, a bridge pier bearing standard area range and a standard distance range of a bridge pier central point in the viaduct engineering quality parameters stored in the storage database, comparing each received quality parameter value in the viaduct engineering of each sub-area with the corresponding quality parameter standard value range in the viaduct engineering, and obtaining each quality parameter value contrast difference value set delta W in the viaduct engineering of each sub-areanR(Δw1R,Δw2R,...,ΔwiR,...,ΔwnR)，ΔwiR is the comparison difference value of the R-th quality parameter value in the viaduct engineering of the ith sub-area and the corresponding quality parameter standard value range in the viaduct engineering, and R is R1,R2,R3,R4Sending the comparison difference value set of each quality parameter value in the viaduct engineering of each sub-area to an analysis server;
the analysis server is used for receiving the value-to-contrast difference value set of each quality parameter value in the viaduct engineering of each sub-area sent by the quality parameter analysis module, extracting the correction coefficient of each quality parameter in the viaduct engineering stored in the storage database, calculating the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted, extracting the standard comprehensive safety influence coefficient of the quality of the viaduct engineering stored in the storage database, comparing the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted with the standard comprehensive safety influence coefficient, and if the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted is greater than or equal to the standard comprehensive safety influence coefficient, indicating that the quality of the viaduct engineering is qualified, sending the comprehensive safety influence coefficient of the quality of the viaduct engineering to the display module; if the comprehensive safety influence coefficient of the viaduct engineering quality to be accepted is smaller than the standard comprehensive safety influence coefficient, the viaduct engineering quality is indicated to be unqualified, and an instruction of the viaduct engineering quality unqualified is sent to an early warning reminding module;
the early warning reminding module is used for receiving the instruction which is sent by the analysis server and used for indicating that the bearing of the viaduct project to be checked and accepted does not meet the index and the instruction which is sent by the analysis server and used for indicating that the quality of the viaduct project is unqualified, and informing related personnel of carrying out corresponding processing measures;
the display module is used for receiving and displaying the comprehensive safety influence coefficient of the engineering quality of the viaduct sent by the analysis server;
the storage database is used for receiving the serial numbers of the plurality of sub-areas sent by the area dividing module, simultaneously storing the safety bearing capacity and the deformation displacement range in the standard viaduct engineering index, storing the standard height range of a bridge surface, the standard thickness range of the bridge surface, the standard area range of bearing of the bridge piers and the standard interval range of the center points of the bridge piers in the quality parameters of the viaduct engineering, and storing the correction coefficients of all the quality parameters in the viaduct engineering, wherein the correction coefficients of all the quality parameters are respectively
Sequentially and respectively representing the correction coefficients of the bridge floor height, the bridge floor thickness, the bearing area of the pier and the distance between the center points of the pier in the construction quality of the viaduct, and storing the standard comprehensive safety influence coefficient of the construction quality of the viaduct;
further, the gravity applying module further comprises a gravity generating module, and the gravity generating module is used for generating different gravity;
further, the deformation displacement detection module comprises an electronic level, and the detection method of the electronic level comprises the following steps:
s1, after the electronic level is automatically focused and leveled, mapping the stripe code of the leveling rod to the spectroscope;
s2, dividing the image into two parts by a spectroscope, wherein one part is visible light and is used for collimation through a cross wire and an eyepiece;
s3, the other part of infrared light is emitted to the detector, and the light image information received by the telescope is converted into an electric image signal and transmitted to the information processor;
s4, performing correlation processing on the original stripe codebook source information of the leveling rod in the leveling rod through the information processor to obtain the deformation displacement of the horizontal sight line on the leveling rod;
further, the calculation formula of the average deformation displacement of the viaduct engineering area to be checked and accepted is as
Expressed as the average deformation displacement, x, of the viaduct engineering area to be acceptedi maxThe distortion displacement is expressed as the maximum detection point position in the ith sub-area, and n is expressed as the number of sub-areas divided by the viaduct area;
furthermore, the quality parameter detection module comprises a height detection unit, a thickness detection unit, a bearing area detection unit and a distance detection unit, wherein the height detection unit is a laser range finder and is used for detecting the bridge floor height in the quality of the viaduct engineering in each sub-area; the thickness detection unit is a thickness tester and is used for detecting the bridge deck thickness in the quality of the viaduct engineering in each sub-area; the bearing area detection unit is a 3D area measuring instrument and is used for detecting the bearing area of the bridge piers in the engineering quality of the viaduct in each sub-area; the distance detection unit is a laser range finder and is used for detecting the distance between the center points of the piers in the quality of the viaduct engineering in each sub-area;
further, the comprehensive safety influence coefficient calculation formula of the engineering quality of the viaduct to be checked and accepted is as
Xi is the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted,
respectively expressed as the correction coefficients of the height of the bridge floor, the thickness of the bridge floor, the bearing area of the pier and the distance between the center points of the pier in the quality of the bridge construction in sequence, delta wiR is the comparison difference value of the R-th quality parameter value in the viaduct engineering of the ith sub-area and the corresponding quality parameter standard value range in the viaduct engineering, and R is R1,R2,R3,R4，w′maxR and w'minR is respectively expressed as the maximum value and the minimum value in the standard range of the R-th quality parameter value in the viaduct engineering, e is expressed as a natural number and is equal to 2.718,
expressed as the average deformation displacement, x 'of the viaduct engineering area to be inspected'maxAnd x'minRespectively expressed as the maximum value and the minimum value, w, in the deformation displacement range in the standard viaduct engineering indexiAnd R is expressed as the R-th quality parameter value in the viaduct engineering of the ith sub-area.
Has the advantages that:
(1) the engineering quality supervision acceptance real-time detection analysis management system based on big data provided by the invention lays the detection points on each divided sub-area through the detection point laying module, sequentially applies the same gravity to the detection points in each sub-area, detects the deformation displacement of each detection point in each sub-area through the deformation displacement detection module, thereby reducing the labor cost, improving the accuracy and reliability of the quality data of the detection engineering, ensuring the life and property safety of people, providing reliable reference data for later-stage calculation of the average deformation displacement of the viaduct engineering area, simultaneously calculating the average deformation displacement of the viaduct engineering area through the analysis server, analyzing whether the bearing of the viaduct engineering meets the index or not, and detecting and analyzing each quality parameter value in the viaduct engineering with the bearing meeting the index, and reliable reference data are provided for later-stage calculation of comprehensive safety influence coefficients of the engineering quality of the viaduct.
(2) The comprehensive safety influence coefficient of the viaduct engineering quality is calculated through the analysis server, whether the viaduct engineering quality is qualified or not is judged through comparison, early warning reminding is carried out on the viaduct with unqualified engineering quality, related personnel are informed to process the viaduct, accordingly, quality safety problems in the later stage of the viaduct are avoided, the incidence rate of major traffic accidents is reduced, potential safety hazards of people in traveling are reduced, physical and mental health of people is guaranteed, meanwhile, the comprehensive safety influence coefficient of the viaduct engineering quality is displayed through the display module, the safety coefficient of the viaduct engineering quality can be visually displayed, guiding reference opinions are provided for later-stage constructors to construct the viaduct, and the viaduct engineering quality is convenient to improve.
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 schematic view of the present invention;
FIG. 2 is a schematic diagram of the area division module of the present invention in the viaduct engineering area division;
reference numerals: i represents the ith sub-area divided for the viaduct engineering area to be checked and accepted; j is indicated as the jth detection point position in each sub-region.
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, a big data-based real-time detection, analysis and management system for supervision, acceptance and acceptance of engineering quality comprises a region division module, a detection point arrangement module, a gravity application module, a deformation displacement detection module, a deformation displacement analysis module, a quality parameter detection module, a quality parameter analysis module, an analysis server, an early warning and reminding module, a display module and a storage database;
the analysis server is respectively connected with the deformation displacement analysis module, the quality parameter detection module, the quality parameter analysis module, the early warning reminding module, the display module and the storage database, the storage database is respectively connected with the area division module, the gravity applying module and the quality parameter analysis module, the detection point arrangement module is connected with the gravity applying module, the deformation displacement detection module is respectively connected with the gravity applying module and the deformation displacement analysis module, and the quality parameter detection module is connected with the quality parameter analysis module.
The area division module is used for dividing the viaduct engineering area to be checked and accepted, dividing the viaduct engineering area into a plurality of sub-areas according to the distance between the central points of the supporting piers, numbering the sub-areas in sequence according to a set sequence, wherein the numbers of the sub-areas are respectively 1,2,.
The detection point arrangement module is used for arranging the detection points in each subregion, distributing the detection points on the central line of each subregion in a uniform distribution mode, numbering the positions of the detection points in sequence according to the arrangement sequence, counting the numbers of the detection point positions in each subregion, and forming a number set A of the detection point positions in each subregioni m(ai 1,ai 2,...,ai j,...,ai m)，ai jThe number of the jth detection point position in the ith sub-area is represented, and the number set of the detection point positions in all the sub-areas is sent to the gravity applying module;
the gravity applying module is used for receiving the number set of the detection point positions in each sub-area sent by the detection point arranging module, the gravity applying module further comprises a gravity generating module which is used for generating different gravities, extracting the safety bearing capacity in the standard viaduct engineering index stored in the storage database, sequentially applying the same gravity to the received detection point positions in each sub-area, wherein the applied gravity is the safety bearing capacity in the standard viaduct engineering index, and sending the detection point positions in each sub-area after the gravity is applied to the deformation displacement detecting module.
The deformation displacement detection module comprises an electronic level for receiving the position of each detection point in each sub-area after the gravity is applied and sent by the gravity application module, and detecting the deformation displacement of each detection point in each sub-area after the received gravity is applied, so that the labor cost is reduced, the accuracy and reliability of the quality data of the detection project are improved, the life and property safety of people is guaranteed, and the detected deformation displacement of each detection point in each sub-area is sent to the deformation displacement analysis module;
the electronic level detection method comprises the following steps:
s1, after the electronic level is automatically focused and leveled, mapping the stripe code of the leveling rod to the spectroscope;
s2, dividing the image into two parts by a spectroscope, wherein one part is visible light and is used for collimation through a cross wire and an eyepiece;
s3, the other part of infrared light is emitted to the detector, and the light image information received by the telescope is converted into an electric image signal and transmitted to the information processor;
and S4, performing correlation processing on the original stripe codebook source information of the leveling rod in the leveling rod through the information processor to obtain the deformation displacement of the horizontal sight line on the leveling rod.
The deformation displacement analysis moduleThe block is used for receiving the deformation displacement of each detection point position in each subarea sent by the deformation displacement detection module, counting the deformation displacement of each detection point position in each subarea, comparing the deformation displacement of each detection point position in each subarea, screening the deformation displacement of the maximum detection point position in each subarea, counting the deformation displacement of the maximum detection point position in each subarea, and forming a deformation displacement set X of the maximum detection point position in each subareamax(x1 max,x2 max,...,xi max,...,xn max)，xi maxAnd the deformation displacement is expressed as the maximum detection point position in the ith sub-area, reliable reference data is provided for calculating the average deformation displacement of the viaduct engineering area in the later period, and the deformation displacement set of the maximum detection point position in each sub-area is sent to the analysis server.
The analysis server is used for receiving the deformation displacement set of the maximum detection point position in each sub-area sent by the deformation displacement analysis module, calculating the average deformation displacement of the viaduct engineering area to be checked and accepted, and the calculation formula of the average deformation displacement of the viaduct engineering area to be checked and accepted is as follows
Expressed as the average deformation displacement, x, of the viaduct engineering area to be acceptedi maxThe method comprises the steps of representing the deformation displacement of the largest detection point position in the ith sub-area, representing n as the number of sub-areas divided by the viaduct area, extracting the deformation displacement range in standard viaduct engineering indexes stored in a storage database, comparing the average deformation displacement of the viaduct engineering area to be checked and accepted with the deformation displacement range in the standard viaduct engineering indexes, if the average deformation displacement of the viaduct engineering area to be checked and accepted is out of the deformation displacement range in the standard viaduct engineering indexes, indicating that the bearing of the viaduct engineering to be checked and accepted is not qualified, and indicating that the bearing of the viaduct engineering to be checked and accepted is not qualifiedThe target instruction is sent to the early warning reminding module; and if the average deformation displacement of the viaduct engineering area to be checked and accepted is within the deformation displacement range in the standard viaduct engineering index, the bearing conformity index of the viaduct engineering to be checked and accepted is shown, and the instruction of the bearing conformity index of the viaduct engineering to be checked and accepted is sent to the quality parameter detection module.
The quality parameter detection module comprises a height detection unit, a thickness detection unit, a bearing area detection unit and a distance detection unit and is used for receiving a command which is sent by the analysis server and used for bearing the viaduct project to be checked and accepted and meets the index, wherein the height detection unit is a laser range finder and is used for detecting the height of the bridge floor in the quality of the viaduct project in each sub-area; the thickness detection unit is a thickness tester and is used for detecting the bridge deck thickness in the quality of the viaduct engineering in each sub-area; the bearing area detection unit is a 3D area measuring instrument and is used for detecting the bearing area of the bridge piers in the engineering quality of the viaduct in each sub-area; the distance detection unit is a laser range finder and is used for detecting the distance between the center points of the piers in the quality of the viaduct engineering in each sub-area, counting the value of each quality parameter in the viaduct engineering in each sub-area and forming a set W of the value of each quality parameter in the viaduct engineering in each sub-areanR(w1R,w2R,...,wiR,...,wnR)，wiR represents the R-th quality parameter value in the viaduct engineering of the ith sub-area, and R is R ═ R1,R2,R3,R4，R1Expressed as the bridge deck height, R, in the quality parameter of the viaduct project2Expressed as the bridge deck thickness, R, in the quality parameter of the viaduct construction3Expressed as pier receiving area in the quality parameter of the viaduct construction, R4Representing the distance between the center points of the piers in the quality parameters of the viaduct engineering, and sending the numerical value set of each quality parameter in the viaduct engineering of each sub-area to a quality parameter analysis module;
the quality parameter analysis module is used for receiving the quality parameter value sets in the viaduct engineering of each sub-area sent by the quality parameter detection module, and extracting the bridge surface standard height range and the bridge surface standard in the viaduct engineering quality parameters stored in the storage databaseThe standard thickness range, the standard area range of the bearing of the bridge pier and the standard distance range of the center point of the bridge pier are determined, the received quality parameter values in the viaduct engineering of each sub-area are compared with the corresponding quality parameter standard value range in the viaduct engineering, and the contrast difference value set delta W of the quality parameter values in the viaduct engineering of each sub-area is obtainednR(Δw1R,Δw2R,...,ΔwiR,...,ΔwnR)，ΔwiR is the comparison difference value of the R-th quality parameter value in the viaduct engineering of the ith sub-area and the corresponding quality parameter standard value range in the viaduct engineering, and R is R1,R2,R3,R4And providing reliable reference data for later-stage calculation of comprehensive safety influence coefficients of the quality of the viaduct engineering, and sending the numerical value contrast difference value sets of all quality parameters in the viaduct engineering of all sub-areas to the analysis server.
The analysis server is used for receiving the numerical value contrast difference value set of each quality parameter in the viaduct engineering of each subregion sent by the quality parameter analysis module, extracting the correction coefficient of each quality parameter in the viaduct engineering stored in the storage database, calculating the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted, and the calculation formula of the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted is as follows
Xi is the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted,
respectively expressed as the correction coefficients of the height of the bridge floor, the thickness of the bridge floor, the bearing area of the pier and the distance between the center points of the pier in the quality of the bridge construction in sequence, delta wiR is the comparison difference value of the R-th quality parameter value in the viaduct engineering of the ith sub-area and the corresponding quality parameter standard value range in the viaduct engineering, and R is R1,R2,R3,R4，w′maxR and w'minR is respectively expressed as the maximum value in the standard range of the R-th quality parameter value in the viaduct engineeringLarge and minimum values, e being expressed as natural numbers, equal to 2.718,
expressed as the average deformation displacement, x 'of the viaduct engineering area to be inspected'maxAnd x'minRespectively expressed as the maximum value and the minimum value, w, in the deformation displacement range in the standard viaduct engineering indexiR represents the R-th quality parameter value in the viaduct engineering of the ith sub-area, extracts the standard comprehensive safety influence coefficient of the viaduct engineering quality stored in the storage database, compares the comprehensive safety influence coefficient of the viaduct engineering quality to be checked and accepted with the standard comprehensive safety influence coefficient, if the comprehensive safety influence coefficient of the viaduct engineering quality to be checked and accepted is greater than or equal to the standard comprehensive safety influence coefficient, the viaduct engineering quality is qualified, and sends the comprehensive safety influence coefficient of the viaduct engineering quality to the display module; and if the comprehensive safety influence coefficient of the viaduct engineering quality to be accepted is smaller than the standard comprehensive safety influence coefficient, the viaduct engineering quality is indicated to be unqualified, and the instruction of the viaduct engineering quality unqualified is sent to the early warning reminding module.
The early warning reminding module is used for receiving the instruction that the bearing of the viaduct project to be checked and accepted sent by the analysis server does not conform to the index and the instruction that the quality of the viaduct project is unqualified, carrying out early warning reminding, and informing related personnel to carry out corresponding processing measures, so that quality safety problems in the later stage of the viaduct are avoided, the occurrence rate of major traffic accidents is reduced, potential safety hazards in the occurrence of people are reduced, and physical and mental health of people is guaranteed.
The display module is used for receiving the comprehensive safety influence coefficient of the viaduct engineering quality sent by the analysis server, displaying the comprehensive safety influence coefficient, visually displaying the safety coefficient of the viaduct engineering quality, providing instructive reference opinions for later-stage construction personnel to construct the viaduct, and facilitating improvement of the viaduct engineering quality.
The storage database is used for receiving the serial numbers of the sub-areas sent by the area dividing module and simultaneously storing the safety in the standard viaduct engineering indexesBearing capacity and deformation displacement range, storing standard bridge height range, standard bridge thickness range, standard pier bearing area range and standard pier center point distance range in the quality parameters of the viaduct bridge engineering, and storing correction coefficients of the quality parameters in the viaduct bridge engineering, wherein the correction coefficients of the quality parameters are respectively
And sequentially and respectively representing the correction coefficients of the height of the bridge deck, the thickness of the bridge deck, the bearing area of the pier and the distance between the center points of the pier in the quality of the viaduct engineering, and storing the standard comprehensive safety influence coefficient of the quality of the viaduct engineering.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (6)
1. The utility model provides an engineering quality supervision acceptance real-time detection analysis management system based on big data which characterized in that: the system comprises a region division module, a detection point arrangement module, a gravity application module, a deformation displacement detection module, a deformation displacement analysis module, a quality parameter detection module, a quality parameter analysis module, an analysis server, an early warning reminding module, a display module and a storage database;
the analysis server is respectively connected with the deformation displacement analysis module, the quality parameter detection module, the quality parameter analysis module, the early warning reminding module, the display module and the storage database, the storage database is respectively connected with the region division module, the gravity application module and the quality parameter analysis module, the detection point arrangement module is connected with the gravity application module, the deformation displacement detection module is respectively connected with the gravity application module and the deformation displacement analysis module, and the quality parameter detection module is connected with the quality parameter analysis module;
the area dividing module is used for dividing the viaduct engineering area to be checked and accepted, dividing the viaduct engineering area into a plurality of sub-areas according to the distance between the central points of the supporting piers, numbering the sub-areas in sequence according to a set sequence, wherein the number of each sub-area is 1,2,.
The detection point arrangement module is used for arranging the detection points in each subregion, distributing the detection points on the central line of each subregion in a uniform distribution mode, numbering the positions of the detection points in sequence according to the arrangement sequence, counting the numbers of the detection point positions in each subregion, and forming a number set A of the detection point positions in each subregioni m(ai 1,ai 2,...,ai j,...,ai m)，ai jThe number of the jth detection point position in the ith sub-area is represented, and the number set of the detection point positions in all the sub-areas is sent to the gravity applying module;
the gravity applying module is used for receiving the number set of each detection point position in each sub-area sent by the detection point laying module, extracting the safety bearing capacity in the standard viaduct engineering index stored in the storage database, sequentially applying the same gravity to each detection point position in each received sub-area, wherein the applied gravity is the safety bearing capacity in the standard viaduct engineering index, and sending each detection point position in each sub-area after the gravity is applied to the deformation displacement detection module;
the deformation displacement detection module is used for receiving the positions of the detection points in the sub-areas after the gravity is applied and sent by the gravity application module, detecting the deformation displacement of the positions of the detection points in the sub-areas after the received gravity is applied and sending the detected deformation displacement of the positions of the detection points in the sub-areas to the deformation displacement analysis module;
the deformation displacement analysis module is used for receiving the deformation displacement of each detection point position in each sub-area sent by the deformation displacement detection module, counting the deformation displacement of each detection point position in each sub-area, and comparing the deformation displacement of each detection point position in each sub-areaScreening the deformation displacement of the maximum detection point position in each subarea, counting the deformation displacement of the maximum detection point position in each subarea, and forming a deformation displacement set X of the maximum detection point position in each subareamax(x1 max,x2 max,...,xi max,...,xn max)，xi maxThe deformation displacement is expressed as the maximum detection point position in the ith sub-area, and the deformation displacement set of the maximum detection point position in each sub-area is sent to an analysis server;
the analysis server is used for receiving the deformation displacement set of the maximum detection point position in each sub-area sent by the deformation displacement analysis module, calculating the average deformation displacement of the viaduct engineering area to be checked and accepted, extracting the deformation displacement range in the standard viaduct engineering index stored in the storage database, comparing the average deformation displacement of the viaduct engineering area to be checked and accepted with the deformation displacement range in the standard viaduct engineering index, if the average deformation displacement of the viaduct engineering area to be checked and accepted is out of the deformation displacement range in the standard viaduct engineering index, indicating that the bearing of the viaduct engineering to be checked and accepted is not in accordance with the index, and sending the instruction that the bearing of the viaduct engineering to be checked and accepted is not in accordance with the index to the early warning module; if the average deformation displacement of the viaduct engineering area to be checked and accepted is within the deformation displacement range in the standard viaduct engineering index, the bearing conformity index of the viaduct engineering to be checked and accepted is shown, and the instruction of the bearing conformity index of the viaduct engineering to be checked and accepted is sent to the quality parameter detection module;
the quality parameter detection module is used for receiving the instruction which is sent by the analysis server and accords with the bearing index of the viaduct project to be checked, detecting each quality parameter in the viaduct project to be checked, detecting the bridge floor height, the bridge floor thickness, the bridge pier receiving area and the distance between the center points of the bridge piers in the quality parameters of the viaduct project of each sub-area, counting each quality parameter value in the viaduct project of each sub-area, and forming each quality parameter value set W in the viaduct project of each sub-areanR(w1R,w2R,...,wiR,...,wnR)，wiR represents the R-th quality parameter value in the viaduct engineering of the ith sub-area, and R is R ═ R1,R2,R3,R4，R1Expressed as the bridge deck height, R, in the quality parameter of the viaduct project2Expressed as the bridge deck thickness, R, in the quality parameter of the viaduct construction3Expressed as pier receiving area in the quality parameter of the viaduct construction, R4Representing the distance between the center points of the piers in the quality parameters of the viaduct engineering, and sending the numerical value set of each quality parameter in the viaduct engineering of each sub-area to a quality parameter analysis module;
the quality parameter analysis module is used for receiving each quality parameter value set in the viaduct engineering of each sub-area sent by the quality parameter detection module, extracting a bridge surface standard height range, a bridge surface standard thickness range, a bridge pier bearing standard area range and a standard distance range of a bridge pier central point in the viaduct engineering quality parameters stored in the storage database, comparing each received quality parameter value in the viaduct engineering of each sub-area with the corresponding quality parameter standard value range in the viaduct engineering, and obtaining each quality parameter value contrast difference value set delta W in the viaduct engineering of each sub-areanR(Δw1R,Δw2R,...,ΔwiR,...,ΔwnR)，ΔwiR is the comparison difference value of the R-th quality parameter value in the viaduct engineering of the ith sub-area and the corresponding quality parameter standard value range in the viaduct engineering, and R is R1,R2,R3,R4Sending the comparison difference value set of each quality parameter value in the viaduct engineering of each sub-area to an analysis server;
the analysis server is used for receiving the value-to-contrast difference value set of each quality parameter value in the viaduct engineering of each sub-area sent by the quality parameter analysis module, extracting the correction coefficient of each quality parameter in the viaduct engineering stored in the storage database, calculating the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted, extracting the standard comprehensive safety influence coefficient of the quality of the viaduct engineering stored in the storage database, comparing the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted with the standard comprehensive safety influence coefficient, and if the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted is greater than or equal to the standard comprehensive safety influence coefficient, indicating that the quality of the viaduct engineering is qualified, sending the comprehensive safety influence coefficient of the quality of the viaduct engineering to the display module; if the comprehensive safety influence coefficient of the viaduct engineering quality to be accepted is smaller than the standard comprehensive safety influence coefficient, the viaduct engineering quality is indicated to be unqualified, and an instruction of the viaduct engineering quality unqualified is sent to an early warning reminding module;
the early warning reminding module is used for receiving the instruction which is sent by the analysis server and used for indicating that the bearing of the viaduct project to be checked and accepted does not meet the index and the instruction which is sent by the analysis server and used for indicating that the quality of the viaduct project is unqualified, and informing related personnel of carrying out corresponding processing measures;
the display module is used for receiving and displaying the comprehensive safety influence coefficient of the engineering quality of the viaduct sent by the analysis server;
the storage database is used for receiving the serial numbers of the plurality of sub-areas sent by the area dividing module, simultaneously storing the safety bearing capacity and the deformation displacement range in the standard viaduct engineering index, storing the standard height range of a bridge surface, the standard thickness range of the bridge surface, the standard area range of bearing of the bridge piers and the standard interval range of the center points of the bridge piers in the quality parameters of the viaduct engineering, and storing the correction coefficients of all the quality parameters in the viaduct engineering, wherein the correction coefficients of all the quality parameters are respectively
And sequentially and respectively representing the correction coefficients of the height of the bridge deck, the thickness of the bridge deck, the bearing area of the pier and the distance between the center points of the pier in the quality of the viaduct engineering, and storing the standard comprehensive safety influence coefficient of the quality of the viaduct engineering.
2. The big data-based project quality supervision acceptance real-time detection analysis management system according to claim 1, characterized in that: the gravity applying module further comprises a gravity generating module which is used for generating different gravity.
3. The big data-based project quality supervision acceptance real-time detection analysis management system according to claim 1, characterized in that: the deformation displacement detection module comprises an electronic level, and the detection method of the electronic level comprises the following steps:
s1, after the electronic level is automatically focused and leveled, mapping the stripe code of the leveling rod to the spectroscope;
s2, dividing the image into two parts by a spectroscope, wherein one part is visible light and is used for collimation through a cross wire and an eyepiece;
s3, the other part of infrared light is emitted to the detector, and the light image information received by the telescope is converted into an electric image signal and transmitted to the information processor;
and S4, performing correlation processing on the original stripe codebook source information of the leveling rod in the leveling rod through the information processor to obtain the deformation displacement of the horizontal sight line on the leveling rod.
4. The big data-based project quality supervision acceptance real-time detection analysis management system according to claim 1, characterized in that: the calculation formula of the average deformation displacement of the viaduct engineering area to be checked and accepted is
Expressed as the average deformation displacement, x, of the viaduct engineering area to be acceptedi maxAnd n is the number of sub-areas divided by the viaduct area.
5. The big data-based project quality supervision acceptance real-time detection analysis management system according to claim 1, characterized in that: the quality parameter detection module comprises a height detection unit, a thickness detection unit, a bearing area detection unit and a distance detection unit, wherein the height detection unit is a laser range finder and is used for detecting the bridge floor height in the quality of the viaduct engineering in each sub-area; the thickness detection unit is a thickness tester and is used for detecting the bridge deck thickness in the quality of the viaduct engineering in each sub-area; the bearing area detection unit is a 3D area measuring instrument and is used for detecting the bearing area of the bridge piers in the engineering quality of the viaduct in each sub-area; the distance detection unit is a laser range finder and is used for detecting the distance between the center points of the piers in the quality of the viaduct engineering in each sub-area.
6. The big data-based project quality supervision acceptance real-time detection analysis management system according to claim 1, characterized in that: the comprehensive safety influence coefficient calculation formula of the quality of the viaduct engineering to be checked and accepted is
Xi is the comprehensive safety influence coefficient of the quality of the viaduct engineering to be checked and accepted,
respectively expressed as the correction coefficients of the height of the bridge floor, the thickness of the bridge floor, the bearing area of the pier and the distance between the center points of the pier in the quality of the bridge construction in sequence, delta wiR is the comparison difference value of the R-th quality parameter value in the viaduct engineering of the ith sub-area and the corresponding quality parameter standard value range in the viaduct engineering, and R is R1,R2,R3,R4，w′maxR and w'minR is respectively expressed as the maximum value and the minimum value in the standard range of the R-th quality parameter value in the viaduct engineering, e is expressed as a natural number and is equal to 2.718,
expressed as the average deformation displacement, x 'of the viaduct engineering area to be inspected'maxAnd x'minRespectively expressed as the maximum value and the minimum value, w, in the deformation displacement range in the standard viaduct engineering indexiAnd R is expressed as the R-th quality parameter value in the viaduct engineering of the ith sub-area.
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| CN113205269B (en) * | 2021-05-12 | 2022-04-05 | 广东重工建设监理有限公司 | Engineering supervision method based on artificial intelligence, intelligent terminal and storage medium |
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| CN115660262B (en) * | 2022-12-29 | 2023-05-12 | 网思科技股份有限公司 | Engineering intelligent quality inspection method, system and medium based on database application |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104267035A (en) * | 2014-10-11 | 2015-01-07 | 江苏交科工程检测技术有限公司 | Concrete quality detecting system and method |
| CN108960621A (en) * | 2018-06-27 | 2018-12-07 | 中南大学 | The bridge monitoring and evaluation method of high-speed rail bridge are worn under a kind of shield tunnel construction |
| CN111486902A (en) * | 2020-06-04 | 2020-08-04 | 许辉 | Large-span bridge safety performance real-time monitoring system based on big data |
| CN111709664A (en) * | 2020-06-28 | 2020-09-25 | 张玉红 | Bridge structure safety monitoring management system based on big data |
| CN111721209A (en) * | 2020-06-19 | 2020-09-29 | 张玉红 | Road tunnel engineering safety real-time monitoring management system based on big data |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106228876A (en) * | 2016-10-21 | 2016-12-14 | 无锡职业技术学院 | A kind of high-precision pressure sensor experimental model and experimental technique thereof |
| CN106599497A (en) * | 2016-12-21 | 2017-04-26 | 中铁二院工程集团有限责任公司 | Deformation control method of high-pier and long-span bridge track of railway |
| CN111395173B (en) * | 2020-03-23 | 2021-06-29 | 东南大学 | BIM-based steel truss arch bridge bolt connection construction precision control method |
-
2020
- 2020-10-20 CN CN202011127454.7A patent/CN112232685B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104267035A (en) * | 2014-10-11 | 2015-01-07 | 江苏交科工程检测技术有限公司 | Concrete quality detecting system and method |
| CN108960621A (en) * | 2018-06-27 | 2018-12-07 | 中南大学 | The bridge monitoring and evaluation method of high-speed rail bridge are worn under a kind of shield tunnel construction |
| CN111486902A (en) * | 2020-06-04 | 2020-08-04 | 许辉 | Large-span bridge safety performance real-time monitoring system based on big data |
| CN111721209A (en) * | 2020-06-19 | 2020-09-29 | 张玉红 | Road tunnel engineering safety real-time monitoring management system based on big data |
| CN111709664A (en) * | 2020-06-28 | 2020-09-25 | 张玉红 | Bridge structure safety monitoring management system based on big data |
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