CN112200503A - Evaluation method for evaluating railway roadbed compaction quality - Google Patents
Evaluation method for evaluating railway roadbed compaction quality Download PDFInfo
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- CN112200503A CN112200503A CN202011344911.8A CN202011344911A CN112200503A CN 112200503 A CN112200503 A CN 112200503A CN 202011344911 A CN202011344911 A CN 202011344911A CN 112200503 A CN112200503 A CN 112200503A
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Abstract
The invention discloses an evaluation method for evaluating the compaction quality of a railway roadbed, which comprises the following steps: dividing a road surface rolled on a railway subgrade into a plurality of detection areas, collecting vibration compaction process parameters of a vibration road roller, respectively loading the vibration compaction process parameters collected in each detection area into different folders, detecting the compaction degree of the detection points, inputting the parameters into a server, judging whether the compaction quality of all the detection areas meets requirements, marking the detection areas meeting the requirements as green on a GIS map, and marking the detection areas not meeting the requirements as red. This scheme can be quick, large tracts of land detects railway roadbed compaction quality, control roadbed compaction quality that can be more comprehensive, improves detection efficiency simultaneously greatly, reduces to detect shared construction period.
Description
Technical Field
The invention relates to the technical field of railway engineering, in particular to an evaluation method for evaluating the compaction quality of a railway roadbed.
Background
The roadbed is the foundation of the railway and is related to the safe and efficient operation of the railway. The roadbed is the foundation of a track structure, and as the running speed of trains is increased, particularly the application of high-speed railways, the roadbed structure is required to provide smoother and more stable support for an upper structure. The compaction quality of roadbed filling engineering is the basis for determining the structural performance of the roadbed filling engineering, the roadbed compaction quality comprises three contents of compaction degree, compaction uniformity, compaction stability and the like, and the compaction degree is the rolling degree of the roadbed. At present, for detecting and controlling the compaction quality of roadbed filling engineering, a conventional point type sampling detection method is adopted, namely random point selection sampling detection is carried out after each layer is rolled. By adopting a conventional point type sampling detection method, the field compaction condition cannot be recorded and checked in real time, the working efficiency is low, and workers cannot acquire the information of the compaction quality in time to plan a later-stage finishing scheme.
Disclosure of Invention
In view of the above defects in the prior art, the invention provides an efficient evaluation method for evaluating the compaction quality of a railway roadbed.
In order to achieve the purpose of the invention, the technical scheme adopted by the invention is as follows:
the method for evaluating the compaction quality of the railway roadbed comprises the following steps:
s1: the road surface rolled on the railway roadbed is divided into a plurality of detection areas, and the length of each detection area ishWidth ofl，hMaximum width to be rolled by vibratory roller，lThe circumference is twice of that of a steel wheel of the vibratory roller;
s2: installing a Beidou navigation system on a vibratory roller, selecting a detection area on a GIS map, and establishing a plurality of folders by a background server, wherein each folder corresponds to one detection area;
s3: the vibratory roller is positioned by using a Beidou navigation system, drives into a detection area and starts to adoptThe method integrates the vibration compaction technological parameters of the vibratory roller, wherein the vibration compaction technological parameters comprise the maximum shear modulus of the soil bodyGPoisson's ratio of earthγWater content of soil bodyφAnd density of soil body
；
S4: the vibratory roller sends the collected vibration compaction technological parameters to a background server by using a wireless transmission module, and the vibration compaction technological parameters collected in each detection area are respectively loaded into corresponding folders;
s5: selecting a plurality of detection points in a detection area, detecting the compactness of each detection point, generating a compactness data file, and inputting the data file into a server, wherein the compactness detection method comprises the following steps:
s51: establishing rigidity model of soil bodyk s And damping modelc s :
Wherein the content of the first and second substances,ais half the width of the vibration wheel of the vibration road roller,bhalf the footprint width;
s52: collecting the maximum shear modulus of the soil body on each detection pointGPoisson's ratio of earthγWater content of soil bodyRatio phiAnd density of soil body
Inputting stiffness modelk s And damping modelc s Calculating the rigidity and the damping of the soil body at the detection point;
s53: using the rigidity and the damping as compaction data to generate a compaction data file, and inputting the compaction data file into a server;
s6: comparing the rigidity value and the damping value with a rigidity standard value and a damping standard value respectively, if the rigidity value does not meet the requirement of the rigidity standard value or the damping value does not meet the requirement of the damping standard value, the compaction quality of the detection point does not meet the requirement, otherwise, the compaction quality of the detection point meets the requirement;
if a detection point exists in a detection area, the compaction quality of the detection point does not meet the requirement，Judging that the compaction quality of the detection area does not meet the requirement; otherwise, the compaction quality of the detection area meets the requirement;
s7: repeating the steps S5-S6, and detecting whether the compaction quality of all detection areas meets the requirements;
s8: and marking the detection area meeting the requirements as green and marking the detection area not meeting the requirements as red on the GIS map.
The invention has the beneficial effects that: this scheme utilizes GIS to fix a position, and the road bed is paved and is detected the road surface and react out on the GIS map to give the server with on-the-spot detection's compaction process parameter feedback, backstage server carries out the judgement of compaction quality, will not accord with the regional direct display of compaction quality on the GIS map, and the staff can audio-visually see the region that is not conform to the requirement, carries out timely dispatch and later stage and maintains the processing, realizes digital management. This scheme can be quick, large tracts of land detects railway roadbed compaction quality, control roadbed compaction quality that can be more comprehensive, improves detection efficiency simultaneously greatly, reduces to detect shared construction period.
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Fig. 1 is a flow chart of an evaluation method for evaluating compaction quality of a railroad bed.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, the method for evaluating the compaction quality of the railway roadbed provided by the scheme comprises the following steps:
s1: the road surface rolled on the railway roadbed is divided into a plurality of detection areas, and the length of each detection area ishWidth ofl，hMaximum width to be rolled by vibratory roller，lThe circumference is twice of that of a steel wheel of the vibratory roller;
s2: installing a Beidou navigation system on a vibratory roller, selecting a detection area on a GIS map, and establishing a plurality of folders by a background server, wherein each folder corresponds to one detection area;
s3: the vibratory roller is positioned by using a Beidou navigation system, drives into a detection area, and starts to acquire vibratory compaction technological parameters of the vibratory roller, wherein the vibratory compaction technological parameters comprise the maximum shear modulus of a soil bodyGPoisson's ratio of earthγWater content of soil bodyφAnd density of soil body
；
S4: the vibratory roller sends the collected vibration compaction technological parameters to a background server by using a wireless transmission module, and the vibration compaction technological parameters collected in each detection area are respectively loaded into corresponding folders; the method comprises the following steps:
s41: the vibratory roller is arranged at intervals of set timetSending the vibration compaction process parameters to a background server, storing the compaction process parameters in the corresponding detection area in a corresponding folder, and marking the compaction process parameters sent to the background server each time with a time tag during collection; the timet=L/VWhereinLThe circumference of the steel wheel of a vibratory roller,Vthe running speed of the vibratory roller;
s42: and establishing a data table in each folder, wherein the data table takes the vibration compaction process parameters as an abscissa and the time as an ordinate, and the compaction process parameters and the corresponding acquisition time are filled into the data table.
S5: selecting a plurality of detection points in a detection area, detecting the compactness of each detection point, generating a compactness data file, and inputting the data file into a server, wherein the compactness data file comprises the following steps:
a51: after a road base is compacted by the vibratory roller, uniformly selecting a plurality of detection points in a detection area, and marking the coordinates of all the detection points on a GIS map;
a52: and (4) positioning the coordinates of the detection points on the GIS map by workers, printing a coordinate label corresponding to the position of the detection point on each compactness data to form a compactness data file, and sending the compactness data file to the background server.
The method for stamping the coordinate label on the compactness data in the step A52 comprises the following steps:
a521: after generating the compactness data, sending an instruction to a background server, and downloading a coordinate file of the current detection point on a GIS map;
a522: after the coordinate file is downloaded, searching coordinate data in the coordinate file by using a findAll function, and extracting the coordinate data;
a523: and combining the extracted coordinate data with the generated compaction data to form a compaction data file containing the coordinate data.
The compaction degree detection method comprises the following steps:
s51: establishing rigidity model of soil bodyk s And damping modelc s :
Wherein the content of the first and second substances,ais half the width of the vibration wheel of the vibration road roller,bhalf the footprint width;
s52: collecting the maximum shear modulus of the soil body on each detection pointGPoisson's ratio of earthγWater content of soil bodyRatio phiAnd density of soil body
Inputting stiffness modelk s And damping modelc s Calculating the rigidity and the damping of the soil body at the detection point;
s53: and taking the rigidity and the damping as compactness data, generating a compactness data file, and inputting the compactness data file into the server.
S6: comparing the rigidity value and the damping value with a rigidity standard value and a damping standard value respectively, if the rigidity value does not meet the requirement of the rigidity standard value or the damping value does not meet the requirement of the damping standard value, the compaction quality of the detection point does not meet the requirement, otherwise, the compaction quality of the detection point meets the requirement;
if a detection point exists in a detection area, the compaction quality of the detection point does not meet the requirement，Judging that the compaction quality of the detection area does not meet the requirement; otherwise, the compaction quality of the detection area meets the requirement; the method comprises the following steps:
s61: the background server extracts a rigidity value and a damping value in the compaction data file, and compares the rigidity value and the damping value with a rigidity standard value and a damping standard value;
s62: if the rigidity value does not meet the requirement of the rigidity standard value or the damping value does not meet the requirement of the damping standard value, the compaction quality of the detection point does not meet the requirement, the compaction data file of the detection point is saved, and a data table is filled;
s63: otherwise, the compaction quality of the detection point meets the requirement, and the background server deletes the compaction data file of the detection point and waits for the input of the next compaction data file.
S7: repeating the steps S5-S6, and detecting whether the compaction quality of all detection areas meets the requirements;
s8: marking the detection area meeting the requirements as green on a GIS map, and marking the detection area not meeting the requirements as red; the method comprises the following steps:
s81: traversing all the folders after all the detection points are detected; if the folder contains data of compactness, marking a detection area corresponding to the folder into red on a GIS map;
s83: extracting a compactness data file in the folder, and marking detection points which are not detected to be qualified on a GIS map through coordinate labels contained in the compactness data file;
s84: and if the folder does not contain the compactness data, marking the detection area corresponding to the folder as green on the GIS map.
This scheme utilizes GIS to fix a position, and the road bed is paved and is detected the road surface and react out on the GIS map to give the server with on-the-spot detection's compaction process parameter feedback, backstage server carries out the judgement of compaction quality, will not accord with the regional direct display of compaction quality on the GIS map, and the staff can audio-visually see the region that is not conform to the requirement, carries out timely dispatch and later stage and maintains the processing, realizes digital management. This scheme can be quick, large tracts of land detects railway roadbed compaction quality, control roadbed compaction quality that can be more comprehensive, improves detection efficiency simultaneously greatly, reduces to detect shared construction period.
Claims (6)
1. An assessment method for assessing the compaction quality of a railway roadbed is characterized by comprising the following steps:
s1: the road surface rolled on the railway roadbed is divided into a plurality of detection areas, and the length of each detection area ishWidth ofl，hMaximum width to be rolled by vibratory roller，lThe circumference is twice of that of a steel wheel of the vibratory roller;
s2: installing a Beidou navigation system on a vibratory roller, selecting a detection area on a GIS map, and establishing a plurality of folders by a background server, wherein each folder corresponds to one detection area;
s3: the vibratory roller is positioned by using a Beidou navigation system, drives into a detection area, and starts to acquire vibratory compaction technological parameters of the vibratory roller, wherein the vibratory compaction technological parameters comprise the maximum shear modulus of a soil bodyGPoisson's ratio of earthγWater content of soil bodyφAnd density of soil body
；
S4: the vibratory roller sends the collected vibration compaction technological parameters to a background server by using a wireless transmission module, and the vibration compaction technological parameters collected in each detection area are respectively loaded into corresponding folders;
s5: selecting a plurality of detection points in a detection area, detecting the compactness of each detection point, generating a compactness data file, and inputting the data file into a server, wherein the compactness detection method comprises the following steps:
s51: establishing rigidity model of soil bodyk s And damping modelc s :
Wherein the content of the first and second substances,ais half the width of the vibration wheel of the vibration road roller,bhalf the footprint width;
s52: collecting the maximum shear modulus of the soil body on each detection pointGPoisson's ratio of earthγWater content of soil bodyRatio phiAnd density of soil body
Inputting stiffness modelk s And damping modelc s Calculating the rigidity and the damping of the soil body at the detection point;
s53: using the rigidity and the damping as compaction data to generate a compaction data file, and inputting the compaction data file into a server;
s6: comparing the rigidity value and the damping value with a rigidity standard value and a damping standard value respectively, if the rigidity value does not meet the requirement of the rigidity standard value or the damping value does not meet the requirement of the damping standard value, the compaction quality of the detection point does not meet the requirement, otherwise, the compaction quality of the detection point meets the requirement;
if a detection point exists in a detection area, the compaction quality of the detection point does not meet the requirement，Judging that the compaction quality of the detection area does not meet the requirement; otherwise, the compaction quality of the detection area meets the requirement;
s7: repeating the steps S5-S6, and detecting whether the compaction quality of all detection areas meets the requirements;
s8: and marking the detection area meeting the requirements as green and marking the detection area not meeting the requirements as red on the GIS map.
2. The evaluation method for railroad bed compaction quality according to claim 1, wherein the step S4 comprises:
s41: the vibratory roller is arranged at intervals of set timetSending the vibration compaction process parameters to a background server, storing the compaction process parameters in the corresponding detection area in a corresponding folder, and marking the compaction process parameters sent to the background server each time with a time tag during collection; the timet=L/VWhereinLThe circumference of the steel wheel of a vibratory roller,Vthe running speed of the vibratory roller;
s42: and establishing a data table in each folder, wherein the data table takes the vibration compaction process parameters as an abscissa and the time as an ordinate, and the compaction process parameters and the corresponding acquisition time are filled into the data table.
3. The evaluation method for railroad bed compaction quality according to claim 1, wherein the step S5 comprises:
a51: after a road base is compacted by the vibratory roller, uniformly selecting a plurality of detection points in a detection area, and marking the coordinates of all the detection points on a GIS map;
a52: and (4) positioning the coordinates of the detection points on the GIS map by workers, printing a coordinate label corresponding to the position of the detection point on each compactness data to form a compactness data file, and sending the compactness data file to the background server.
4. The evaluation method for the compaction quality of a railroad bed according to claim 3, wherein the method of applying the coordinate tags to the compaction data in the step A52 is:
a521: after generating the compactness data, sending an instruction to a background server, and downloading a coordinate file of the current detection point on a GIS map;
a522: after the coordinate file is downloaded, searching coordinate data in the coordinate file by using a findAll function, and extracting the coordinate data;
a523: and combining the extracted coordinate data with the generated compaction data to form a compaction data file containing the coordinate data.
5. The evaluation method for railroad bed compaction quality according to claim 1, wherein the step S6 comprises:
s61: the background server extracts a rigidity value and a damping value in the compaction data file, and compares the rigidity value and the damping value with a rigidity standard value and a damping standard value;
s62: if the rigidity value does not meet the requirement of the rigidity standard value or the damping value does not meet the requirement of the damping standard value, the compaction quality of the detection point does not meet the requirement, the compaction data file of the detection point is saved, and a data table is filled;
s63: otherwise, the compaction quality of the detection point meets the requirement, and the background server deletes the compaction data file of the detection point and waits for the input of the next compaction data file.
6. The evaluation method for railroad bed compaction quality according to claim 1, wherein the step S8 comprises:
s81: traversing all the folders after all the detection points are detected; if the folder contains data of compactness, marking a detection area corresponding to the folder into red on a GIS map;
s83: extracting a compactness data file in the folder, and marking detection points which are not detected to be qualified on a GIS map through coordinate labels contained in the compactness data file;
s84: and if the folder does not contain the compactness data, marking the detection area corresponding to the folder as green on the GIS map.
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