CN113313375A - Building engineering construction quality evaluation method based on big data analysis and cloud computing - Google Patents
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Abstract
The invention discloses a building engineering construction quality evaluation method based on big data analysis and cloud computing. The building engineering construction quality evaluation method based on big data analysis and cloud computing comprises the following steps: dividing the elevator shaft into regions; detecting basic parameters corresponding to the elevator shafts of all the sub-areas; detecting the verticality of the wall of the surrounding well of the elevator shaft of each subarea; detecting the thickness corresponding to the wall of the shaft around each sub-area elevator shaft; detecting environmental parameters inside the elevator shaft of each subarea; analyzing basic parameters, perpendicularity, thickness and environment parameters corresponding to the elevator shaft of each subarea; carrying out quality evaluation on the elevator shaft construction project; according to the invention, through careful detection, analysis and evaluation of the elevator shaft construction project, the problem that the evaluation content of the conventional elevator shaft construction project construction quality evaluation method is limited is effectively solved, and the accuracy of the evaluation result is greatly ensured.
Description
Technical Field
The invention belongs to the technical field of engineering construction quality, and relates to a construction quality evaluation method of a building engineering based on big data analysis and cloud computing.
Background
With the continuous development of the power industry and the steady promotion of economy, the residential building is changed from the traditional single-stair mode to the existing elevator and stair double-stair mode, and the evaluation of the construction quality of the elevator shaft construction project is an important link for elevator construction and elevator operation safety.
The existing elevator shaft construction project construction quality evaluation mainly focuses on quality evaluation of internal factors such as elevator shaft materials and the like, and quality detection and evaluation of external factors such as shaft wall thickness in elevator shaft construction are not performed, so that the existing elevator shaft construction project construction quality evaluation method has certain defects.
Disclosure of Invention
In view of the above, in order to solve the problems in the background art, a building engineering construction quality evaluation method based on big data analysis and cloud computing for elevator shaft construction quality evaluation is provided, so that the elevator shaft construction engineering construction quality can be accurately evaluated;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a building engineering construction quality evaluation method based on big data analysis and cloud computing, which comprises the following steps:
s1, area division: the area division is used for carrying out area division on the elevator shaft according to the positions of all floors of the building so as to obtain divided sub-areas, and the divided sub-areas are numbered according to a preset sequence and are marked as 1,2,. i,. n in sequence;
s2, detecting basic parameters of the elevator shaft: the elevator shaft basic parameter detection is used for detecting basic parameters corresponding to elevator shafts of all sub-areas so as to obtain the basic parameters corresponding to the elevator shafts of all sub-areas;
s3, detecting the verticality of the elevator shaft: the elevator shaft verticality detection is used for detecting the verticality of the surrounding well walls of the elevator shaft of each sub-area so as to obtain the verticality corresponding to the well wall on each side of each sub-area;
s4, detecting the thickness of the elevator shaft: the elevator shaft thickness detection is used for detecting the thickness corresponding to the wall of the elevator shaft around each sub-region, so as to obtain the thickness corresponding to the wall of the elevator shaft on each side of each sub-region;
s5, detecting the environmental parameters of the elevator shaft: the elevator shaft environment parameter detection is used for detecting environment parameters inside elevator shafts of all sub-areas so as to obtain numerical values corresponding to the environment parameters inside the elevator shafts of all sub-areas;
s6, analysis of detection data: and the detection data analysis is used for analyzing the basic parameters, perpendicularity, thickness and environmental parameters corresponding to the elevator shaft of each sub-area.
Further, the elevator shaft basic parameter detection comprises a plurality of elevator shaft basic parameter detection units which are respectively used for detecting basic parameters corresponding to each sub-area elevator shaft, wherein the basic parameters of the elevator shaft comprise the length of the elevator shaft, the width of the elevator shaft and the height of the elevator shaft, then the laser range finder in the elevator shaft basic parameter detection units is used for respectively detecting the length, the width and the height corresponding to each sub-area elevator shaft, further the length, the width and the height corresponding to each sub-area elevator shaft are obtained, and a basic parameter set J of each sub-area elevator shaft is constructedw(Jw1,Jw2,...Jwi,...Jwn)，Jwi represents w-th basic information corresponding to the ith sub-zone elevator hoistway, w represents basic elevator hoistway parameters, and w represents a1, a2, a3, a1, a2 and a3 respectively represent the length of the elevator hoistway, the width of the elevator hoistway and the height of the elevator hoistway.
Further, the elevator shaft verticality detection comprises a plurality of verticality detection instruments which are respectively used for detecting the verticality corresponding to the peripheral well walls of the elevator shaft of each sub-region, the peripheral well walls corresponding to the elevator shaft are sequentially numbered according to the clockwise direction and are sequentially marked as b1, b2, b3 and b4, the verticality corresponding to each side well wall of each sub-region is further obtained, and a verticality set G of each side well wall of each sub-region is constructede(Ge1,Ge2,...Gei,...Gen)，Gei represents the corresponding verticality of the shaft wall of the shaft on the e side of the shaft in all i sub-regions, e represents the shaft wall number on the periphery of the shaft, and e is b1, b2, b3 and b 4.
Further, the elevator shaft thickness detection comprises ifThe dry elevator well thickness detection unit is respectively used for detecting the thickness corresponding to each side well wall of each sub-area, further dividing each side well wall of each sub-area into each detection area according to a plane grid type dividing method, taking a central point corresponding to each detection area as a detection point, further numbering the detection points corresponding to each side well wall of each sub-area according to a preset sequence, sequentially marking the detection points as 1,2, ae d(He d1,He d2,...He dj,...He dm)，He dm represents the thickness corresponding to the mth detection point well wall on the mth side surface of the mth sub-region, d represents the number of the sub-region, and d is 1, 2.
Furthermore, the elevator shaft environment parameter detection comprises a plurality of environment parameter detection units which are respectively installed inside each sub-area and are respectively used for detecting environment parameters corresponding to the inside of each sub-area, wherein the environment parameters inside each sub-area elevator shaft comprise temperature, humidity, oxygen concentration, methane concentration and gas mobility, so that numerical values corresponding to the inside temperature, humidity, oxygen concentration, methane concentration and air mobility of each sub-area elevator shaft are obtained, and an environment parameter set M inside each sub-area elevator shaft is constructedz(Mz1,Mz2,...Mzi,..Mzn)，Mzi represents the z-th internal environment parameter corresponding to the ith sub-zone elevator shaft, z represents the internal environment parameter, and z is c1, c2, c3, c4, c5, c1, c2, c3, c4 and c5 respectively represent temperature, humidity, oxygen concentration, methane concentration and air fluidity.
Further, the environment parameter detection unit comprises a temperature sensor, a humidity sensor, a gas sensor and a gas flow sensor, wherein the temperature sensor is used for detecting the temperature inside each subregion, the humidity sensor is used for detecting the humidity inside each subregion, the gas sensor is used for detecting the oxygen concentration and the methane concentration inside each subregion, and the gas flow sensor is used for detecting the air fluidity inside each subregion.
Further, the specific analysis process of the detection data comprises the following steps:
a1, acquiring the length, width and height corresponding to each sub-region elevator shaft according to the basic parameter set of each sub-region elevator shaft, comparing the length, width and height corresponding to each sub-region elevator shaft with the standard length, standard width and standard height corresponding to each sub-region elevator shaft respectively, and further counting the quality conformity influence coefficient of each basic parameter of each sub-region elevator shaft, wherein the calculation formula is that the quality of each basic parameter of each sub-region elevator shaft conforms to the influence coefficient
αw dRepresenting the quality coincidence influence coefficient corresponding to the w basic parameter of the elevator shaft of the d sub-area, a1d,a2d,a3dRespectively, the length, width and height of the elevator shaft of the sub-zone d, a1Standard of merit d，a2Standard of merit d，a3Standard of merit dRespectively representing the standard length, the standard width and the standard height corresponding to the nth sub-area elevator shaft;
a2, according to the quality coincidence influence coefficient of each basic parameter of each sub-region elevator shaft, further counting the comprehensive quality coincidence influence coefficient of each sub-region basic parameter, wherein the calculation formula is
α′dRepresenting the d sub-zone elevator shaft basic parameter comprehensive quality coincidence influence coefficient, alphaa1 d,αa2 d,αa3 dRespectively representing the length quality coincidence influence coefficient, the width quality coincidence influence coefficient and the height coincidence quality influence coefficient corresponding to the nth sub-area elevator shaft;
a3, according to the set of the verticality of each side wall of each sub-area, obtaining the corresponding verticality of each side wall of each sub-area, and enabling the corresponding verticality of each side wall of each sub-area to be respectively corresponding to the vertical wall of the shaft well of the elevator shaftComparing the corresponding standard verticality, and further counting the verticality quality of the well wall on each side surface of each subarea to meet the influence coefficient, wherein the calculation formula is
βe dRepresenting the corresponding verticality quality of the e side wall of the elevator shaft of the d sub-area and the corresponding influence coefficient Gb1 d,Gb2 d,Gb3 d,Gb4 dRespectively representing the corresponding verticality of a b1 side wall, a b2 side wall, a b3 side wall and a b4 side wall of the nth sub-region elevator shaft;
a4, according to the statistical coincidence of the wall verticality quality of each side face of each subarea with the influence coefficient, further, the statistical coincidence of the wall verticality comprehensive quality of the elevator shaft of each subarea with the influence coefficient is calculated, wherein the calculation formula is
β′dRepresenting that the comprehensive quality of the verticality of the shaft wall of the elevator shaft in the nth sub-area accords with the influence coefficient;
a5, according to the thickness set of each detection point well wall on each side surface of each subregion, further obtaining the thickness corresponding to each detection point well wall on each side surface of each subregion, comparing the thickness corresponding to each detection point well wall on each side surface of each subregion with the standard thickness corresponding to the well wall of the elevator shaft, further counting the thickness quality of each side wall of each subregion according with the influence coefficient, wherein the calculation formula is that
δe dRepresenting the quality coincidence influence coefficient corresponding to the e side wall of the elevator shaft of the d sub-areae dr represents the thickness corresponding to the wall of the r-th detection point on the e-th side of the elevator shaft of the d-th sub-area, HStandard of meritThe standard thickness that represents the elevartor shaft wall of a well corresponds, r represents the check point number, and r is 1,2, 1.j, 1.m, and then accords with influence coefficient according to each subregion side wall of a well thickness quality of statistics, and then statisticsThe comprehensive quality of the wall thickness of the elevator shaft in each subarea accords with the influence coefficient, and the calculation formula is
δ′dRepresenting that the comprehensive quality corresponding to the thickness of the shaft wall of the elevator shaft of the kth sub-area accords with the influence coefficient;
a6, according to the internal environment parameter set of each subregion elevartor shaft, and then obtain the inside temperature, humidity, oxygen concentration, methane concentration and the gas mobility that corresponds of each subregion elevartor shaft, the inside temperature, humidity, oxygen concentration, methane concentration and the gas mobility that correspond respectively with the interior standard temperature, standard humidity, standard oxygen concentration, standard methane concentration and the standard gas mobility that correspond of each subregion elevartor shaft contrast respectively, and then each internal environment parameter quality of statistics each subregion elevartor shaft accords with the influence coefficient, its computational formula is
φz dRepresenting the quality coincidence influence coefficient corresponding to the z internal environment parameter of the elevator shaft of the d sub-areaz dRepresenting the value corresponding to the z-th internal environment parameter, M, of the elevator shaft of the d-th sub-areaz standardRepresenting a standard value corresponding to a z-th internal environment parameter of the elevator shaft;
a7, according to the statistical quality conformity influence coefficient of each internal environment parameter of each subarea elevator shaft, further, the statistical quality conformity influence coefficient of the internal environment parameter of each subarea elevator shaft is calculated, and the calculation formula is
φd' means that the comprehensive quality corresponding to the environment parameter in the elevator shaft of the sub-area of the d corresponds to the influence coefficient.
Furthermore, the detection data analysis also comprises comprehensive analysis of the detected data, and the quality of each basic parameter of the elevator shaft of each subarea according with the influence coefficient, the comprehensive quality of the wall verticality of the elevator shaft of each subarea according with the influence coefficient and each subarea according with the influence coefficientThe comprehensive quality of the wall thickness of the elevator shaft in the region accords with the influence coefficient and the comprehensive quality of the internal environment parameters of the elevator shaft in each subarea accords with the influence coefficient, and then the comprehensive quality of the elevator shaft in each subarea accords with the influence coefficient, and the calculation formula is
QdAnd representing that the comprehensive quality corresponding to the elevator shaft of the nth sub-area accords with the influence coefficient.
And further, the method also comprises engineering quality evaluation, wherein according to the counted comprehensive quality coincidence influence coefficients of the elevator shafts of the sub-areas, the comprehensive quality coincidence influence coefficients of the elevator shafts of the sub-areas are respectively matched and screened with the preset comprehensive quality coincidence influence coefficients of the elevator shafts corresponding to the quality grades of the construction engineering of the elevator shafts, and the quality grades corresponding to the construction engineering of the elevator shafts of the sub-areas are further obtained.
And further, the method also comprises the step of sending information, wherein the quality grade corresponding to the elevator shaft construction project of each obtained sub-area is sent to a terminal corresponding to the quality supervision personnel of the elevator shaft construction project according to the quality grade corresponding to the elevator shaft construction project of each obtained sub-area.
The invention has the beneficial effects that:
(1) according to the building engineering construction quality evaluation method based on big data analysis and cloud computing, provided by the invention, the basic parameters, perpendicularity, thickness and internal environment parameters corresponding to the elevator shaft of each sub-region are comprehensively detected and carefully analyzed, so that the problem that the evaluation content of the conventional elevator shaft construction quality evaluation method is limited is effectively solved, the authenticity and the reference of an evaluation result are greatly ensured, and meanwhile, the authenticity of the evaluation result is greatly improved.
(2) According to the invention, when the thickness of each side wall of the elevator shaft of each sub-region is detected, the accuracy of the detection result of the wall thickness of each side wall of the elevator shaft of each sub-region is greatly improved by the method for detecting the wall thickness of each side wall of the elevator shaft of each sub-region by arranging the detection points on the wall of each side wall of the elevator shaft of each sub-region, and meanwhile, the detection efficiency of the wall thickness of each side wall of the elevator shaft of each sub-region is greatly improved by measuring by using the laser thickness gauge.
(3) According to the elevator shaft construction quality evaluation method and the elevator shaft construction quality monitoring system, the elevator shaft construction quality evaluation result is sent to the elevator shaft construction quality monitoring personnel, so that the quality evaluation time of the elevator shaft construction quality monitoring personnel on the elevator shaft construction is greatly saved, and meanwhile, the efficiency of the elevator shaft construction quality monitoring personnel on the elevator shaft construction project quality evaluation is greatly improved.
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 diagram of the steps of the method of the present invention;
fig. 2 is a schematic view of the shaft wall orientation of the elevator shaft of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1 to 2, a method for evaluating construction quality of a construction project based on big data analysis and cloud computing includes the following steps:
s1, area division: the area division is used for carrying out area division on the elevator shaft according to the positions of all floors of the building so as to obtain divided sub-areas, and the divided sub-areas are numbered according to a preset sequence and are marked as 1,2,. i,. n in sequence;
s2, detecting basic parameters of the elevator shaft: the elevator shaft basic parameter detection is used for detecting basic parameters corresponding to elevator shafts of all sub-areas so as to obtain the basic parameters corresponding to the elevator shafts of all sub-areas;
specifically, the elevator shaft basic parameter detection comprises a plurality of elevator shaft basic parameter detection units which are respectively used for detecting basic parameters corresponding to each sub-area elevator shaft, wherein the basic parameters of the elevator shaft comprise the length of the elevator shaft, the width of the elevator shaft and the height of the elevator shaft, then the laser range finder in the elevator shaft basic parameter detection units is used for respectively detecting the length, the width and the height corresponding to each sub-area elevator shaft, further the length, the width and the height corresponding to each sub-area elevator shaft are obtained, and a sub-area elevator shaft basic parameter set J is constructedw(Jw1,Jw2,...Jwi,...Jwn)，Jwi represents w-th basic information corresponding to the ith sub-zone elevator hoistway, w represents basic elevator hoistway parameters, and w represents a1, a2, a3, a1, a2 and a3 respectively represent the length of the elevator hoistway, the width of the elevator hoistway and the height of the elevator hoistway.
S3, detecting the verticality of the elevator shaft: the elevator shaft verticality detection is used for detecting the verticality of the surrounding well walls of the elevator shaft of each sub-area so as to obtain the verticality corresponding to the well wall on each side of each sub-area;
specifically, the elevator shaft verticality detection comprises a plurality of verticality detection instruments which are respectively used for detecting the verticality corresponding to the peripheral well walls of the elevator shaft of each sub-region, the peripheral well walls corresponding to the elevator shaft are sequentially numbered according to the clockwise direction and are sequentially marked as b1, b2, b3 and b4, the verticality corresponding to each side well wall of each sub-region is further obtained, and a verticality set G of each side well wall of each sub-region is constructede(Ge1,Ge2,...Gei,...Gen)，Gei represents the corresponding verticality of the shaft wall of the shaft on the e side of the shaft in all i sub-regions, e represents the shaft wall number on the periphery of the shaft, and e is b1, b2, b3 and b 4.
S4, detecting the thickness of the elevator shaft: the elevator shaft thickness detection is used for detecting the thickness corresponding to the wall of the elevator shaft around each sub-region, so as to obtain the thickness corresponding to the wall of the elevator shaft on each side of each sub-region;
according to the embodiment of the invention, when the thickness of the side wall of each elevator shaft of each sub-region is detected, the accuracy of the detection result of the wall thickness of each side wall of each elevator shaft of each sub-region is greatly improved by the method for detecting the arrangement of the detection points on the side wall of each elevator shaft of each sub-region, and meanwhile, the detection efficiency of the wall thickness of each side wall of each elevator shaft of each sub-region is greatly improved by using the laser thickness gauge for measurement.
The elevator shaft thickness detection device comprises a plurality of elevator shaft thickness detection units, wherein the elevator shaft thickness detection units are respectively used for detecting the thickness corresponding to each side wall of the shaft of each sub-area, each side wall of each sub-area is divided into detection areas according to a plane grid type dividing method, a central point corresponding to each detection area is used as a detection point, the detection points corresponding to each side wall of each sub-area are numbered according to a preset sequence and are sequentially marked as 1,2, ae d(He d1,He d2,...He dj,...He dm)，He dm represents the thickness corresponding to the mth detection point well wall on the mth side surface of the mth sub-region, d represents the number of the sub-region, and d is 1, 2.
S5, detecting the environmental parameters of the elevator shaft: the elevator shaft environment parameter detection is used for detecting environment parameters inside elevator shafts of all sub-areas so as to obtain numerical values corresponding to the environment parameters inside the elevator shafts of all sub-areas;
specifically, the elevator shaft environment parameter detection comprises a plurality of environment parameter detection units which are respectively installed inside each sub-area and respectively used for detecting environment parameters corresponding to the inside of each sub-area, wherein the environment parameters inside each sub-area elevator shaft comprise temperature, humidity, oxygen concentration, methane concentration and gas mobility, so that numerical values corresponding to the inside temperature, the humidity, the oxygen concentration, the methane concentration and the air mobility of each sub-area elevator shaft are obtained, andconstructing an elevator shaft internal environment parameter set M of each subareaz(Mz1,Mz2,...Mzi,..Mzn)，Mzi represents the z-th internal environment parameter corresponding to the ith sub-zone elevator shaft, z represents the internal environment parameter, and z is c1, c2, c3, c4, c5, c1, c2, c3, c4 and c5 respectively represent temperature, humidity, oxygen concentration, methane concentration and air fluidity.
The environment parameter detection unit comprises a temperature sensor, a humidity sensor, a gas sensor and a gas flow sensor, wherein the temperature sensor is used for detecting the temperature inside each subarea, the humidity sensor is used for detecting the humidity inside each subarea, the gas sensor is used for detecting the oxygen concentration and the methane concentration inside each subarea, and the gas flow sensor is used for detecting the air fluidity inside each subarea.
S6, analysis of detection data: the detection data analysis is used for analyzing basic parameters, perpendicularity, thickness and environment parameters corresponding to the elevator shaft of each sub-area;
according to the embodiment of the invention, through carrying out comprehensive detection and careful analysis on the basic parameters, the verticality, the thickness and the internal environment parameters corresponding to the elevator shaft of each sub-area, the problem that the content of the evaluation of the existing elevator shaft construction project construction quality evaluation method is limited is effectively solved, the authenticity and the reference of the evaluation result are greatly ensured, and meanwhile, the authenticity of the evaluation result is greatly improved.
Specifically, the specific analysis process of the detection data comprises the following steps:
a1, acquiring the length, width and height corresponding to each sub-region elevator shaft according to the basic parameter set of each sub-region elevator shaft, comparing the length, width and height corresponding to each sub-region elevator shaft with the standard length, standard width and standard height corresponding to each sub-region elevator shaft respectively, and further counting the quality conformity influence coefficient of each basic parameter of each sub-region elevator shaft, wherein the calculation formula is that the quality of each basic parameter of each sub-region elevator shaft conforms to the influence coefficient
αw dRepresenting the quality coincidence influence coefficient corresponding to the w basic parameter of the elevator shaft of the d sub-area, a1d,a2d,a3dRespectively, the length, width and height of the elevator shaft of the sub-zone d, a1Standard of merit d，a2Standard of merit d，a3Standard of merit dRespectively representing the standard length, the standard width and the standard height corresponding to the nth sub-area elevator shaft;
a2, according to the quality coincidence influence coefficient of each basic parameter of each sub-region elevator shaft, further counting the comprehensive quality coincidence influence coefficient of each sub-region basic parameter, wherein the calculation formula is
α′dRepresenting the d sub-zone elevator shaft basic parameter comprehensive quality coincidence influence coefficient, alphaa1 d,αa2 d,αa3 dRespectively representing the length quality coincidence influence coefficient, the width quality coincidence influence coefficient and the height coincidence quality influence coefficient corresponding to the nth sub-area elevator shaft;
a3, according to the set of the verticality of each side wall of each sub-area, obtaining the corresponding verticality of each side wall of each sub-area, comparing the corresponding verticality of each side wall of each sub-area with the corresponding standard verticality of the wall of the elevator shaft, and counting the verticality quality of each side wall of each sub-area, wherein the calculation formula is that
βe dRepresenting the corresponding verticality quality of the e side wall of the elevator shaft of the d sub-area and the corresponding influence coefficient Gb1 d,Gb2 d,Gb3 d,Gb4 dRespectively representing the corresponding verticality of a b1 side wall, a b2 side wall, a b3 side wall and a b4 side wall of the nth sub-region elevator shaft;
a4, each according to statisticsThe verticality quality of the shaft wall of each side of each subarea accords with the influence coefficient, so that the comprehensive verticality quality of the shaft wall of the elevator shaft of each subarea accords with the influence coefficient, and the calculation formula is
β′dRepresenting that the comprehensive quality of the verticality of the shaft wall of the elevator shaft in the nth sub-area accords with the influence coefficient;
a5, according to the thickness set of each detection point well wall on each side surface of each subregion, further obtaining the thickness corresponding to each detection point well wall on each side surface of each subregion, comparing the thickness corresponding to each detection point well wall on each side surface of each subregion with the standard thickness corresponding to the well wall of the elevator shaft, further counting the thickness quality of each side wall of each subregion according with the influence coefficient, wherein the calculation formula is that
δe dRepresenting the quality coincidence influence coefficient corresponding to the e side wall of the elevator shaft of the d sub-areae dr represents the thickness corresponding to the wall of the r-th detection point on the e-th side of the elevator shaft of the d-th sub-area, HStandard of meritThe elevator shaft wall thickness comprehensive quality calculation method comprises the steps of representing the corresponding standard thickness of an elevator shaft wall, representing detection point numbers by r, wherein r is 1,2, 1, j, m, further according to the statistics, the side wall thickness quality of each sub-region accords with influence coefficients, further statistics is carried out, the comprehensive quality of the elevator shaft wall thickness of each sub-region accords with the influence coefficients, and the calculation formula is that
δ′dRepresenting that the comprehensive quality corresponding to the thickness of the shaft wall of the elevator shaft of the kth sub-area accords with the influence coefficient;
a6, according to the environment parameter set inside each sub-region elevator shaft, further obtaining the temperature, humidity, oxygen concentration, methane concentration and gas mobility corresponding to the inside of each sub-region elevator shaft, and respectively enabling the temperature, humidity, oxygen concentration, methane concentration and gas mobility corresponding to the inside of each sub-region elevator shaft to be respectively corresponding to the standard temperature, standard humidity, standard oxygen concentration, standard methane concentration and gas mobility inside the elevator shaftThe standard gas fluidity is respectively compared, and then the quality of each internal environment parameter of each subarea elevator shaft is counted to accord with the influence coefficient, and the calculation formula is
φz dRepresenting the quality coincidence influence coefficient corresponding to the z internal environment parameter of the elevator shaft of the d sub-areaz dRepresenting the value corresponding to the z-th internal environment parameter, M, of the elevator shaft of the d-th sub-areaz standardRepresenting a standard value corresponding to a z-th internal environment parameter of the elevator shaft;
a7, according to the statistical quality conformity influence coefficient of each internal environment parameter of each subarea elevator shaft, further, the statistical quality conformity influence coefficient of the internal environment parameter of each subarea elevator shaft is calculated, and the calculation formula is
φ′dAnd representing that the comprehensive quality corresponding to the environment parameter in the elevator shaft of the sub-region of the d meets the influence coefficient.
The detection data analysis also comprises comprehensive analysis of the detected data, and according to the statistical quality conformity influence coefficient of each basic parameter of each sub-region elevator shaft, the statistical quality conformity influence coefficient of each sub-region elevator shaft wall verticality, the statistical quality conformity influence coefficient of each sub-region elevator shaft wall thickness and the statistical quality conformity influence coefficient of each sub-region elevator shaft internal environment parameter, the statistical quality conformity influence coefficient of each sub-region elevator shaft is calculated by the calculation formula
QdAnd representing that the comprehensive quality corresponding to the elevator shaft of the nth sub-area accords with the influence coefficient.
S7, evaluating engineering quality: according to the counted comprehensive quality coincidence influence coefficients of the elevator shafts of the sub-areas, matching and screening the comprehensive quality coincidence influence coefficients of the elevator shafts of the sub-areas and the preset comprehensive quality coincidence influence coefficients of the elevator shafts corresponding to the quality grades of the construction projects of the elevator shafts, and further acquiring the quality grades corresponding to the elevator shaft construction projects of the sub-areas;
s8, information sending: and according to the quality grade corresponding to each obtained sub-region elevator shaft construction project, sending the quality grade corresponding to each obtained sub-region elevator shaft construction project to a terminal corresponding to the elevator shaft construction project quality supervision personnel.
According to the embodiment of the invention, the elevator shaft construction quality evaluation result is sent to the elevator shaft construction quality supervision personnel, so that the quality evaluation time of the elevator shaft construction quality supervision personnel on the elevator shaft construction is greatly saved, and meanwhile, the efficiency of the elevator shaft construction quality supervision personnel on the elevator shaft construction project quality evaluation is also greatly improved.
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 (10)
1. The building engineering construction quality evaluation method based on big data analysis and cloud computing is characterized by comprising the following steps of: the method comprises the following steps:
s1, area division: the area division is used for carrying out area division on the elevator shaft according to the positions of all floors of the building so as to obtain divided sub-areas, and the divided sub-areas are numbered according to a preset sequence and are marked as 1,2,. i,. n in sequence;
s2, detecting basic parameters of the elevator shaft: the elevator shaft basic parameter detection is used for detecting basic parameters corresponding to elevator shafts of all sub-areas so as to obtain the basic parameters corresponding to the elevator shafts of all sub-areas;
s3, detecting the verticality of the elevator shaft: the elevator shaft verticality detection is used for detecting the verticality of the surrounding well walls of the elevator shaft of each sub-area so as to obtain the verticality corresponding to the well wall on each side of each sub-area;
s4, detecting the thickness of the elevator shaft: the elevator shaft thickness detection is used for detecting the thickness corresponding to the wall of the elevator shaft around each sub-region, so as to obtain the thickness corresponding to the wall of the elevator shaft on each side of each sub-region;
s5, detecting the environmental parameters of the elevator shaft: the elevator shaft environment parameter detection is used for detecting environment parameters inside elevator shafts of all sub-areas so as to obtain numerical values corresponding to the environment parameters inside the elevator shafts of all sub-areas;
s6, analysis of detection data: and the detection data analysis is used for analyzing the basic parameters, perpendicularity, thickness and environmental parameters corresponding to the elevator shaft of each sub-area.
2. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: the elevator shaft basic parameter detection comprises a plurality of elevator shaft basic parameter detection units which are respectively used for detecting basic parameters corresponding to each sub-area elevator shaft, wherein the basic parameters of the elevator shaft comprise the length of the elevator shaft, the width of the elevator shaft and the height of the elevator shaft, then the laser range finders in the elevator shaft basic parameter detection units are used for respectively detecting the length, the width and the height corresponding to each sub-area elevator shaft, further the length, the width and the height corresponding to each sub-area elevator shaft are obtained, and a basic parameter set J of each sub-area elevator shaft is constructedw(Jw1,Jw2,...Jwi,...Jwn)，Jwi represents w-th basic information corresponding to the ith sub-zone elevator hoistway, w represents basic elevator hoistway parameters, and w represents a1, a2, a3, a1, a2 and a3 respectively represent the length of the elevator hoistway, the width of the elevator hoistway and the height of the elevator hoistway.
3. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: the elevator shaft verticality detection comprises a plurality of verticality detection instruments which are respectively used for detecting verticality corresponding to the surrounding well walls of the elevator shaft of each sub-region, and the surrounding well walls corresponding to the elevator shaft are sequentially carried out in a clockwise directionNumbering and sequentially marking as b1, b2, b3 and b4, further acquiring the corresponding verticality of each side well wall of each subregion, and constructing a verticality set G of each side well wall of each subregione(Ge1,Ge2,...Gei,...Gen)，Gei represents the corresponding verticality of the shaft wall of the shaft on the e side of the shaft in all i sub-regions, e represents the shaft wall number on the periphery of the shaft, and e is b1, b2, b3 and b 4.
4. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: the elevator shaft thickness detection comprises a plurality of elevator shaft thickness detection units, wherein the elevator shaft thickness detection units are respectively used for detecting the thickness corresponding to each side wall of the shaft of each sub-area, each side wall of each sub-area is divided into detection areas according to a plane grid type dividing method, the central point corresponding to each detection area is used as a detection point, the detection points corresponding to each side wall of the shaft of each sub-area are numbered according to a preset sequence, the number is marked as 1,2, the thickness is given as j, the thickness is given as m, the thickness corresponding to each side wall of each sub-area is given as a wall of each detection point by using a laser thickness gauge in the elevator shaft thickness detection units, and a shaft wall thickness set H of each side wall of each detection point of each sub-area is constructede d(He d1,He d2,...He dj,...He dm)，He dm represents the thickness corresponding to the mth detection point well wall on the mth side surface of the mth sub-region, d represents the number of the sub-region, and d is 1, 2.
5. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: the elevator shaft environment parameter detection comprises a plurality of environment parameter detection units which are respectively installed inside each sub-region and respectively used for detecting environment parameters corresponding to the insides of the sub-regions, wherein the environment parameters inside the elevator shaft of each sub-region comprise temperature, humidity, oxygen concentration, methane concentration and gas mobility, and then the temperature and humidity inside the elevator shaft of each sub-region are obtainedCorresponding numerical values of degree, oxygen concentration, methane concentration and air fluidity, and constructing an environment parameter set M inside the elevator shaft of each subareaz(Mz1,Mz2,...Mzi,..Mzn)，Mzi represents the z-th internal environment parameter corresponding to the ith sub-zone elevator shaft, z represents the internal environment parameter, and z is c1, c2, c3, c4, c5, c1, c2, c3, c4 and c5 respectively represent temperature, humidity, oxygen concentration, methane concentration and air fluidity.
6. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: the environment parameter detection unit comprises a temperature sensor, a humidity sensor, a gas sensor and a gas flow sensor, wherein the temperature sensor is used for detecting the temperature inside each subarea, the humidity sensor is used for detecting the humidity inside each subarea, the gas sensor is used for detecting the oxygen concentration and the methane concentration inside each subarea, and the gas flow sensor is used for detecting the air fluidity inside each subarea.
7. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: the specific analysis process of the detection data comprises the following steps:
a1, acquiring the length, width and height corresponding to each sub-region elevator shaft according to the basic parameter set of each sub-region elevator shaft, comparing the length, width and height corresponding to each sub-region elevator shaft with the standard length, standard width and standard height corresponding to each sub-region elevator shaft respectively, and further counting the quality conformity influence coefficient of each basic parameter of each sub-region elevator shaft, wherein the calculation formula is that the quality of each basic parameter of each sub-region elevator shaft conforms to the influence coefficient
αw dRepresenting the quality coincidence influence coefficient corresponding to the w basic parameter of the elevator shaft of the d sub-area, a1d,a2d,a3dRespectively represent the d sub-regionCorresponding length, width and height of elevator shaft, a1Standard of merit d，a2Standard of merit d，a3Standard of merit dRespectively representing the standard length, the standard width and the standard height corresponding to the nth sub-area elevator shaft;
a2, according to the quality coincidence influence coefficient of each basic parameter of each sub-region elevator shaft, further counting the comprehensive quality coincidence influence coefficient of each sub-region basic parameter, wherein the calculation formula is
α′dRepresenting the d sub-zone elevator shaft basic parameter comprehensive quality coincidence influence coefficient, alphaa1 d,αa2 d,αa3 dRespectively representing the length quality coincidence influence coefficient, the width quality coincidence influence coefficient and the height coincidence quality influence coefficient corresponding to the nth sub-area elevator shaft;
a3, according to the set of the verticality of each side wall of each sub-area, obtaining the corresponding verticality of each side wall of each sub-area, comparing the corresponding verticality of each side wall of each sub-area with the corresponding standard verticality of the wall of the elevator shaft, and counting the verticality quality of each side wall of each sub-area, wherein the calculation formula is that
βe dRepresenting the corresponding verticality quality of the e side wall of the elevator shaft of the d sub-area and the corresponding influence coefficient Gb1 d,Gb2 d,Gb3 d,Gb4 dRespectively representing the corresponding verticality of a b1 side wall, a b2 side wall, a b3 side wall and a b4 side wall of the nth sub-region elevator shaft;
a4, according to the statistical coincidence of the wall verticality quality of each side face of each subarea with the influence coefficient, further, the statistical coincidence of the wall verticality comprehensive quality of the elevator shaft of each subarea with the influence coefficient is calculated, wherein the calculation formula is
β′dRepresenting that the comprehensive quality of the verticality of the shaft wall of the elevator shaft in the nth sub-area accords with the influence coefficient;
a5, according to the thickness set of each detection point well wall on each side surface of each subregion, further obtaining the thickness corresponding to each detection point well wall on each side surface of each subregion, comparing the thickness corresponding to each detection point well wall on each side surface of each subregion with the standard thickness corresponding to the well wall of the elevator shaft, further counting the thickness quality of each side wall of each subregion according with the influence coefficient, wherein the calculation formula is that
δe dRepresenting the quality coincidence influence coefficient corresponding to the e side wall of the elevator shaft of the d sub-areae dr represents the thickness corresponding to the wall of the r-th detection point on the e-th side of the elevator shaft of the d-th sub-area, HStandard of meritThe elevator shaft wall thickness comprehensive quality calculation method comprises the steps of representing the corresponding standard thickness of an elevator shaft wall, representing detection point numbers by r, wherein r is 1,2, 1, j, m, further according to the statistics, the side wall thickness quality of each sub-region accords with influence coefficients, further statistics is carried out, the comprehensive quality of the elevator shaft wall thickness of each sub-region accords with the influence coefficients, and the calculation formula is that
δd' indicating that the comprehensive quality corresponding to the wall thickness of the elevator shaft in the nth sub-area meets the influence coefficient;
a6, according to the internal environment parameter set of each subregion elevartor shaft, and then obtain the inside temperature, humidity, oxygen concentration, methane concentration and the gas mobility that corresponds of each subregion elevartor shaft, the inside temperature, humidity, oxygen concentration, methane concentration and the gas mobility that corresponds of each subregion elevartor shaft respectively with the corresponding standard temperature in the elevartor shaft, standard humidity, standard oxygen concentration, standard methane concentration and standard gas mobility contrast respectively, and then each internal environment parameter quality of statistics each subregion elevartor shaft accords with the influence coefficient, its computational formulaIs composed of
φz dRepresenting the quality coincidence influence coefficient corresponding to the z internal environment parameter of the elevator shaft of the d sub-areaz dRepresenting the value corresponding to the z-th internal environment parameter, M, of the elevator shaft of the d-th sub-areaz standardRepresenting a standard value corresponding to a z-th internal environment parameter of the elevator shaft;
a7, according to the statistical quality conformity influence coefficient of each internal environment parameter of each subarea elevator shaft, further, the statistical quality conformity influence coefficient of the internal environment parameter of each subarea elevator shaft is calculated, and the calculation formula is
φ′dAnd representing that the comprehensive quality corresponding to the environment parameter in the elevator shaft of the sub-region of the d meets the influence coefficient.
8. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: the detection data analysis also comprises comprehensive analysis of the detected data, and according to the statistical quality conformity influence coefficient of each basic parameter of each sub-region elevator shaft, the statistical quality conformity influence coefficient of each sub-region elevator shaft wall verticality, the statistical quality conformity influence coefficient of each sub-region elevator shaft wall thickness and the statistical quality conformity influence coefficient of each sub-region elevator shaft internal environment parameter, the statistical quality conformity influence coefficient of each sub-region elevator shaft is calculated by the calculation formula
QdAnd representing that the comprehensive quality corresponding to the elevator shaft of the nth sub-area accords with the influence coefficient.
9. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: the method further comprises the step of evaluating the engineering quality, wherein the comprehensive quality coincidence influence coefficients of the elevator shafts of the sub-areas are matched and screened with the preset comprehensive quality coincidence influence coefficients of the elevator shafts corresponding to the quality grades of the elevator shaft construction projects according to the counted comprehensive quality coincidence influence coefficients of the elevator shafts of the sub-areas, and the quality grades corresponding to the elevator shaft construction projects of the sub-areas are obtained.
10. The building engineering construction quality evaluation method based on big data analysis and cloud computing according to claim 1, characterized in that: and sending information, namely sending the quality grade corresponding to the elevator shaft construction project of each obtained sub-region to a terminal corresponding to a quality supervision person of the elevator shaft construction project according to the quality grade corresponding to the elevator shaft construction project of each obtained sub-region.
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