CN111024922A - High-speed railway roadbed compaction quality continuous detection system and method - Google Patents
High-speed railway roadbed compaction quality continuous detection system and method Download PDFInfo
- Publication number
- CN111024922A CN111024922A CN201910911313.5A CN201910911313A CN111024922A CN 111024922 A CN111024922 A CN 111024922A CN 201910911313 A CN201910911313 A CN 201910911313A CN 111024922 A CN111024922 A CN 111024922A
- Authority
- CN
- China
- Prior art keywords
- roadbed
- compaction
- information
- filler
- vibration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
- E02D1/00—Investigation of foundation soil in situ
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
- G01N33/246—Earth materials for water content
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Immunology (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Geology (AREA)
- Environmental & Geological Engineering (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Pathology (AREA)
- Soil Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Paleontology (AREA)
- Civil Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Structural Engineering (AREA)
- Road Repair (AREA)
Abstract
The system comprises an acquisition device, a data processing device, a display device, a management device and a central control device, wherein the acquisition device comprises a vibration acquisition unit, a grading identification unit, a moisture content detection unit and a positioning unit; the method comprises the steps that an acquisition device acquires information and transmits the acquired information to a digital processing device, the digital processing device processes and analyzes the acquired information to obtain processed and analyzed data, and the compaction parameter adjustment of the road roller is controlled based on the processed and analyzed data, so that the roadbed compaction quality is improved. The invention provides a novel roadbed compaction quality vibration, grading and moisture content continuous detection system and method.
Description
Technical Field
The invention relates to the technical field of high-speed railway foundations, in particular to a system and a method for continuously detecting the compaction quality of a high-speed railway roadbed.
Background
The intelligent compaction control technology is mainly characterized in that the vibration compaction working parameters are automatically adjusted according to the change of the compaction state of the roadbed, the intelligent compaction control technology is developed on the basis of a continuous compaction detection technology, the automatic detection of the compaction quality of the roadbed is realized, the intelligent adjustment of the working parameters of the road roller is realized, and the aim is to realize energy-saving and efficient rolling construction. Since the 20 th century 80 s till now, the technology of foreign intelligent vibration energy road rollers has been greatly developed, and some road roller manufacturers in Germany, Switzerland, Sweden, America and Japan have studied and explored in the aspect of intelligent compaction control. At present, foreign vibratory roller manufacturers tend to mature on the technical research of automatically adjusting vibration parameters, can realize stepless amplitude modulation and frequency modulation, and are greatly applied to engineering projects. The intelligent compaction control system of foreign manufacturers has less feedback control research on the vibration frequency, and the feedback control research methods of the vibration amplitude are basically consistent, namely, in order to avoid the vibration wheel from jumping or swinging, the vibration sensor is used for monitoring the vibration response of the vibration wheel and analyzing the vibration response by establishing a judgment standard, so that the system is guided to carry out amplitude regulation to ensure that the vibration wheel recovers stable operation. At present, research achievements in the technical field of domestic automation control are relatively advanced, the development level of the domestic automation control technology is basically equivalent to that of the foreign automation control technology, stepless adjustment of the amplitude, the vibration frequency and the driving speed of the road roller can be achieved by adopting a hydraulic system, but research on an intelligent compaction feedback system is relatively lagged, and the optimal compaction parameters corresponding to different compaction stages cannot be accurately judged. Some colleges and enterprises have been invested in force in turn to develop intelligent compaction technology.
The existing intelligent system mainly analyzes the relation between acceleration and compaction parameters by installing an acceleration sensor on a vibration wheel, and further achieves the purpose of controlling the roadbed compaction quality, but because the filler compaction quality is greatly influenced by the filler particle composition, the water content and other factors, the natural filler has the possibility of filler particle grading and water content change, and the vibration parameters of the road roller and the roadbed compaction quality control parameters cannot be in one-to-one correspondence, so the existing intelligent continuous compaction control system has the requirement of further improvement.
Disclosure of Invention
In order to solve the problems, the invention provides a roadbed continuous pressing substantial quantity detection system and a roadbed continuous pressing substantial quantity detection method.
The invention is realized by adopting the following technical scheme:
the invention provides a continuous detection system for the compaction quality of a high-speed railway subgrade, which comprises an acquisition device, a data processing device, a display device, a management device and a central control device, wherein the acquisition device is connected with the data processing device;
the acquisition device is arranged on the road roller and used for acquiring information and sending the acquired information to the data processing device for processing and analysis;
the data processing device is arranged on the road roller and used for receiving the information acquired by the acquisition device, processing and analyzing the information acquired by the acquisition device to obtain processed and analyzed data, and judging the roadbed compaction quality based on the processed and analyzed data;
the display device is arranged on the road roller and is used for displaying the processed and analyzed data;
the management device remotely obtains the roadbed compaction quality condition in real time based on the processed and analyzed data uploaded to the management device;
the central control device is connected with and controls the acquisition device, the data processing device, the display device and the management device.
Furthermore, the collecting device comprises a positioning unit, a vibration collecting unit, a grading identification unit and a moisture content detection unit;
the positioning unit is used for acquiring position information and filling thickness information of roadbed detection;
the vibration acquisition unit is used for acquiring vibration response information of a vibration wheel of the road roller;
the grading identification unit comprises a camera and an image identifier, the camera is connected with the image identifier, and the image identifier identifies the roadbed surface image acquired by the camera to obtain grading information of roadbed filler particles;
the moisture content detection unit comprises a moisture sensor and is used for acquiring moisture content information of the roadbed filler.
Further, the data processing device is connected to the positioning unit through a data line and is used for receiving the position information and filling thickness information detected by the roadbed;
the vibration response information is a vibration compaction value, and the digital processing device is connected to the vibration acquisition unit through a data line and is used for receiving the vibration compaction value;
the digital processing device is connected with the grading identification unit through a data line and is used for receiving grading information of the roadbed filler particles, obtaining the maximum particle size, curvature coefficient and uneven coefficient of the filler based on the grading information of the roadbed filler particles, and judging the difference of grading between the roadbed filler and the correlation test filler based on the maximum particle size, curvature coefficient and uneven coefficient;
the data processing device is connected with the moisture content detection unit through a data line and used for receiving the moisture content information of the roadbed filler, comparing the moisture content information of the roadbed filler with the optimal moisture content of the roadbed filler to obtain a difference value between the moisture content information of the roadbed filler and the optimal moisture content, and judging whether the corresponding position of the roadbed filler needs to be watered based on the difference value.
Further, the data processing device is used for obtaining a correlation coefficient between the vibration compaction value of the detection position and a conventional compaction index value of a correlation test filler, when the correlation coefficient is larger than or equal to 0.7, the correlation between the vibration compaction value and the conventional compaction index value of the correlation test filler is established, the data processing device determines a vibration compaction target value through a conventional compaction index control value of the correlation test filler, compares the detected vibration compaction value with the vibration compaction target value, and judges whether the roadbed at the position is rolled up.
The second aspect of the invention provides a continuous detection method for the compaction quality of a high-speed railway roadbed, which adopts the continuous detection system for the compaction quality of the high-speed railway roadbed to detect and comprises the following steps:
the acquisition device acquires information and transmits the acquired information to the digital processing device;
the digital processing device receives the information acquired by the acquisition device, processes and analyzes the information acquired by the acquisition device to obtain processed and analyzed data, and judges the roadbed compaction quality based on the processed and analyzed data;
displaying the processed and analyzed data results on a display device;
and uploading the processed and analyzed data to a management device, and remotely mastering the roadbed compaction quality in real time.
Further, the step of collecting information by the collecting device comprises:
the positioning unit collects position information and filling thickness information detected by the roadbed;
the vibration acquisition unit acquires vibration response information;
the grading identification unit collects grading information of roadbed filling particles;
and a moisture sensor in the moisture content detection unit acquires moisture content information of the roadbed filler.
Further, the step of collecting the grading information of the filler particles by the grading identification unit includes:
the camera collects images of the roadbed surface;
and the image recognizer recognizes the image of the roadbed surface to obtain the grading information of the filler particles.
Further, the digital processing device receives the information collected by the collecting device, processes and analyzes the information collected by the collecting device to obtain processed and analyzed data, and the step of judging the roadbed compaction quality based on the processed and analyzed data comprises the following steps:
the data processing device receives position information and filling thickness information detected by the roadbed;
the data processing device receives the water content information of the roadbed filler, compares the water content information of the roadbed filler with the optimal water content of the roadbed filler to obtain a difference value between the water content of the roadbed filler and the optimal water content, judges whether the roadbed filler at the detection position needs to be sprinkled based on the difference value, sprinkles the roadbed filler at the detection position if the difference value between the water content of the roadbed filler and the optimal water content is less than-2% or the difference value between the water content of the roadbed filler and the optimal water content is greater than 2%, and does not need to sprinkle the roadbed filler at the detection position if the difference value between the water content of the roadbed filler which is less than or equal to-2% and less than or equal to 2% and the optimal water content;
the data processing device receives the grading information of the roadbed filler particles, obtains the maximum particle size, the curvature coefficient and the uneven coefficient of the roadbed filler based on the grading information of the roadbed filler particles, and judges the difference of the grading information between the roadbed filler and the correlation test filler based on the maximum particle size, the curvature coefficient and the uneven coefficient;
when a curvature coefficient of 0.8 × a correlation test filler < a curvature coefficient of a roadbed filler <1.2 × a curvature coefficient of the correlation test filler, and an unevenness coefficient of 0.8 × a correlation test filler < an unevenness coefficient of the roadbed filler <1.2 × an unevenness coefficient of the correlation test filler, the data processing device receives the vibration response information, the vibration response information is a vibration compaction value, the data processing device obtains a correlation coefficient between the vibration compaction value of the detection position and a regular compaction index value of the correlation test filler, when the correlation coefficient is equal to or greater than 0.7, a correlation between the vibration compaction value of the detection position and the regular compaction index value of the correlation test filler is established, the data processing device determines a vibration compaction target value by a regular compaction index control value of the correlation test filler, the data processing device compares the detected vibration compaction pressure value with the vibration compaction target value, and judging whether the roadbed at the detection position is qualified in rolling.
Further, the data processing device receives the vibration response information, the vibration response information is a vibration compaction value, and the step of obtaining the correlation coefficient between the vibration compaction value at the detection position and the conventional compaction index value of the correlation test filler by the data processing device comprises the following steps:
extracting detection data of a plurality of vibration compaction values and a plurality of conventional compaction index values of the detection position in three different compaction degree intervals of high, medium and low; wherein the high compaction degree is: the compaction coefficient is > 90%, and the medium compaction degree is: 80 percent, the compaction coefficient is less than or equal to 90 percent, and the low compaction degree is as follows: 70 percent < the compaction coefficient is less than or equal to 80 percent.
Further, the step of comparing the detected vibration compaction value with the vibration compaction target value by the data processing device and judging whether the roadbed at the detection position is qualified by rolling comprises the following steps:
comparing the detected vibration compaction value with the vibration compaction target value, and if the detected vibration compaction value is not less than the vibration compaction target value, the roadbed rolling at the detection position is qualified; and if the detected vibration compaction value is smaller than the vibration compaction target value, the roadbed rolling at the detection position is unqualified, and the road roller rolls again.
In summary, the present invention provides a roadbed continuous pressing substantial quantity detection system and method, the system includes an acquisition device, a data processing device, a display device, a management device and a central control device, the acquisition device includes a vibration acquisition unit, a grading identification unit, a moisture content detection unit and a positioning unit; the method comprises the steps that an acquisition device acquires information and transmits the acquired information to a digital processing device, the digital processing device processes and analyzes the acquired information to obtain processed and analyzed data, and the compaction parameter adjustment of the road roller is controlled based on the processed and analyzed data, so that the roadbed compaction quality is improved. The invention provides a novel vibration, grading and moisture content continuous detection system and method for roadbed compaction quality, which provides a more accurate roadbed continuous intelligent compaction detection system and method by mounting a filler particle grading identification unit and a moisture sensor on a road roller and a compaction wheel, so that on-site compaction parameters can be conveniently adjusted in time, and the on-site roadbed compaction quality is improved.
Compared with the prior art, the invention has the following beneficial technical effects:
(1) according to the invention, the moisture sensor is arranged on the road roller, and the moisture content control index is introduced, so that the on-site roadbed compaction quality can be better controlled;
(2) according to the invention, the image recognizer is arranged on the road roller, so that the change of the roadbed filling on site can be recognized, the on-site compaction parameters can be conveniently adjusted in time, and the on-site roadbed compaction quality can be more accurately controlled.
Drawings
FIG. 1 is a schematic view of a high speed railway subgrade compaction quality continuous detection system of the present invention;
FIG. 2 is a flow chart of the continuous detection method for the compaction quality of the high-speed railway roadbed;
FIG. 3 is a flow chart of a method of the present invention for a collection device to collect information;
FIG. 4 is a graph of vibratory compaction values versus conventional compaction index values in an exemplary embodiment of the invention;
FIG. 5 is a graph of vibratory compaction values for the same pass as the number of passes increases in an embodiment of the present invention;
fig. 6 is a plot of subgrade compaction, uniformity, and stability in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Technical term interpretation:
a roadbed: an earth structure excavated or filled to directly support a rail structure.
Coefficient of foundation K30: the ratio of the corresponding load strength to the sinking amount of a load bearing plate with the diameter of 30cm, which is measured by tests, when the load bearing plate sinks for 1.25 mm.
Vibration compression value VCV: and analyzing the established index reflecting the roadbed compaction state based on the vertical vibration response signal of the vibration wheel of the vibration road roller in the rolling process.
Correlation coefficient: in statistics, the strength of linear correlation between two variables is measured by using a correlation coefficient, when x isiNot all are 0, yiAnd when the correlation coefficient is not all 0, the calculation formula of the correlation coefficient of the two variables is as follows:
compaction level plan view: and feeding back the proportion of the qualified area to the total area of the vibration compaction value of the roadbed.
One aspect of the present invention provides a roadbed continuous compaction quality detection system, as shown in fig. 1, comprising: the road roller comprises an acquisition device 100, a data processing device 200, a display device 300, a management device 400 and a central control device, wherein the acquisition device 100, the data processing device 200 and the display device 300 are all arranged on the road roller, the acquisition device 100 is connected with the data processing device 200 through a data line, the data processing device 200 is connected with the display device 300 through a data line, and the management device 400 and the central control device can be placed at any positions as long as the management device 400 and the central control device are convenient to operate. The central control device is connected with and controls the acquisition device 100, the data processing device 200, the display device 300 and the management device 400.
As shown in fig. 1, the collecting apparatus 100 includes a positioning unit 110, a vibration sensor 120, a grading identification unit 130, and a moisture content detection unit 140.
This positioning unit 110 is used for gathering the detection position information and the thickness information of filling of road bed, and specifically, this positioning unit 110 installs on the road roller, gathers road roller position information and the thickness information of filling through big dipper positioning system to carry out the accurate positioning to the detection position of road bed.
The vibration sensor 120 is used to collect vibration response information of the road roller, which may be a vibration compaction value. Specifically, the vibration sensor 120 may include an acceleration sensor, the acceleration sensor is mounted on a road roller vibration wheel, a detection direction of the acceleration sensor is perpendicular to a wheel axle direction of the road roller vibration wheel and perpendicular to a road surface, the acceleration sensor is configured to collect vibration acceleration of the road roller vibration wheel, and a vibration compaction value is obtained by analyzing a waveform and an amplitude of the vibration acceleration. In order to ensure that the installation is firm and the vibration rolling does not loosen, the acceleration sensor is welded on the vibration wheel frame of the road roller.
The grading identification unit 130 comprises a camera 131 and an image identifier 132, the camera 131 and the image identifier 132 are installed on the road roller, the camera 131 is used for collecting the image of the roadbed surface, and the image identifier 132 is used for identifying the image of the roadbed surface collected by the camera 131 so as to obtain the grading information of the filler particles.
The moisture content detection unit 140 includes a moisture sensor mounted on a compaction wheel of the road roller for detecting the moisture content of the roadbed filler.
The data processing device 200 is fixed in the operation room of the road roller and is used for receiving the vibration acceleration information, the grading information of filler particles, the water content information of the roadbed soil sample, the water content information of the roadbed filler, the detection position information of the roadbed and the filling thickness information which are acquired by the acquisition device 100, processing and analyzing the acquired information and obtaining processed and analyzed data; the data processing device 200 is connected with the display device 300 through a data line, so that a road roller operator can directly observe the data processed and analyzed by the data processing device 200, and the roadbed compaction condition can be observed in real time.
Specifically, the data processing device 200 is configured to receive the vibration compaction value obtained by the vibration sensor 120.
Specifically, the data processing device 200 is configured to receive the grading information of the filler particles collected by the grading identification unit 130, and the digital processing device 200 is connected to the grading identification unit 130 through a data line, and is configured to receive the grading information of the roadbed filler particles, obtain the maximum particle size, the curvature coefficient, and the non-uniformity coefficient of the filler based on the grading information of the roadbed filler particles, and determine the difference in grading between the roadbed filler and the correlation test filler based on the maximum particle size, the curvature coefficient, and the non-uniformity coefficient.
Specifically, the data processing device 200 is configured to receive the moisture content information of the roadbed filler collected by the moisture sensor, compare the moisture content information of the roadbed filler with the optimal moisture content of the roadbed filler to obtain a difference value between the moisture content of the roadbed filler and the optimal moisture content, and determine whether the roadbed filler at the detection position needs to be sprinkled based on the difference value.
If the difference between the water content of the roadbed filler and the optimal water content is more than or equal to +/-2%, the roadbed filler at the detection position is sprinkled, the next rolling operation is carried out after airing, and if the difference between the water content of the roadbed filler and the optimal water content is less than +/-2%, sprinkling is not needed.
Specifically, the data processing device 200 is configured to receive the position information and the filling thickness information of the roadbed detection collected by the positioning unit 110.
Further, a correlation test is performed by the data processing device 200, a correlation between the detection result of the continuous compaction index (the vibration compaction value VCV) and the detection result of the conventional compaction index of the correlation test filler (the foundation coefficient K30) is established, and then a vibration compaction target value in the continuous compaction index is determined by the conventional compaction index control value, and the vibration compaction target value provides a comparison standard for the compaction detection of the subsequent road foundation section.
Specifically, through continuous compaction detection and conventional compaction detection, in three different roadbed compaction degree intervals of high (compaction coefficient > 90%), medium (compaction coefficient less than or equal to 90%) and low (compaction coefficient less than or equal to 80%), a plurality of vibration compaction values VCV and a plurality of foundation coefficients K30 detection data of any detection positions on the roadbed are extracted, a correlation coefficient between the vibration compaction values VCV and the foundation coefficients K30 is obtained, when the correlation coefficient is greater than or equal to 0.7, the correlation is established, and a vibration compaction target value is determined through a conventional compaction index control value to serve as a control index of subsequent detection.
Further, the data processing device 200 compares the vibration compaction value detected in real time by the continuous compaction detection with the vibration compaction target value, so as to judge whether the roadbed is qualified in rolling.
According to the data processing and analyzing results of the data processing device 200 and the position information and filling thickness information of the roadbed collected by the positioning unit 110, a roadbed compaction degree, uniformity and stability plane distribution diagram is finally obtained, and the compaction quality of the roadbed is comprehensively reflected. If the vibration compaction values of 95% points are all larger than the target value, rolling is qualified, otherwise, the roller performs pressure compensation on the under-pressure part, and rolling is not continued on the part which reaches the compaction standard, so that excessive further compaction is avoided.
The data processing and analysis results of the data processing device 200 are displayed on the display device 300 of the road roller, and an operator can reasonably adjust the field working parameters of the road roller according to the display results, and the main road roller working parameters influencing the roadbed vibration compaction effect are vibration amplitude, vibration frequency and driving speed.
The management device 400 is divided into a data uploading unit and a data query processing unit. Through data uploading and data query processing, the roadbed compaction quality condition can be remotely mastered in real time, and basic data are provided for later roadbed quality intelligent management.
The data uploading unit is used for uploading the data processed by the data processing device;
the data query processing unit is used for querying and processing the uploaded data processed by the data processing device so as to obtain roadbed compaction quality data;
and intelligently controlling the roadbed compaction quality according to the roadbed compaction quality data.
The detail description of the roadbed continuous compaction quality detection system is summarized.
The second aspect of the invention provides a roadbed continuous compaction quality detection method, which adopts the roadbed continuous compaction quality detection system for detection, and comprises the following steps, as shown in fig. 2:
and step S100, the acquisition device acquires information and transmits the acquired information to the digital processing device.
Specifically, the information collection by the collection device includes the following steps, as shown in fig. 3:
step S110, a positioning unit collects position information and filling thickness information of roadbed detection;
specifically, the positioning unit in the acquisition device acquires the running position information and the filling thickness information of the road roller through the Beidou positioning system, so that the detection position of the roadbed is accurately positioned.
Step S120, a vibration acquisition unit acquires vibration response information;
specifically, the vibration response information may be a vibration compression value.
Specifically, the vibration acquisition unit may be a vibration sensor, the vibration sensor includes an acceleration sensor, and the acceleration sensor acquires vibration acceleration of a vibration wheel of the road roller, so as to obtain a vibration compaction value.
Step S130, a grading identification unit collects grading information of roadbed filling particles;
specifically, the step of collecting the grading information of the filler particles by the grading identification unit includes:
s131, a camera collects images of the roadbed surface;
and S132, identifying the image of the roadbed surface by the image identifier to obtain the grading information of the filler particles.
And step S140, acquiring moisture content information of the roadbed filler by a moisture sensor in the moisture content detection unit.
And S200, receiving the information acquired by the acquisition device by a digital processing device, processing and analyzing the information acquired by the acquisition device to obtain processed and analyzed data, and judging the roadbed compaction quality based on the processed and analyzed data.
Specifically, the method comprises the following steps:
step S210, the data processing device receives position information and filling thickness information of roadbed detection;
step S220, a data processing device receives the moisture content information of the roadbed filler, compares the moisture content information of the roadbed filler with the optimal moisture content of the roadbed filler to obtain a difference value between the moisture content of the roadbed filler and the optimal moisture content, judges whether the roadbed filler at the detection position needs to be sprinkled based on the difference value, if the difference value between the moisture content of the roadbed filler and the optimal moisture content is less than-2% or the difference value between the moisture content of the roadbed filler and the optimal moisture content is greater than 2%, sprinkles the roadbed filler at the detection position, and if the difference value between the moisture content of the roadbed filler which is less than or equal to-2% and less than or equal to the optimal moisture content is less than or equal to 2%, sprinkles the roadbed filler at the detection position;
specifically, when the difference is less than-2% or the difference is more than 2%, the roadbed is sprinkled with water and dried, and then the next rolling operation is carried out.
Step S230, a data processing device receives the grading information of the roadbed filler particles, obtains the maximum particle size, curvature coefficient and uneven coefficient of the roadbed filler based on the grading information of the roadbed filler particles, and judges the difference of the grading information between the roadbed filler and the correlation test filler based on the maximum particle size, curvature coefficient and uneven coefficient;
step S240, when the curvature coefficient of the 0.8 × correlation test filler < the curvature coefficient of the roadbed filler <1.2 × correlation test filler, and the non-uniformity coefficient of the 0.8 × correlation test filler < the non-uniformity coefficient of the roadbed filler <1.2 × correlation test filler, the data processing device receives the vibration response information, the vibration response information is a vibration compaction value, the data processing device obtains a correlation coefficient between the vibration compaction value of the detection position and a conventional compaction index value of the correlation test filler, when the correlation coefficient is greater than or equal to 0.7, a correlation between the vibration compaction value of the detection position and the conventional compaction index value of the correlation test filler is established, the data processing device determines a vibration compaction target value by the conventional compaction index control value of the correlation test filler, the data processing device compares the detected dynamic compaction value with the vibration compaction target value, judging whether the roadbed at the detection position is qualified in rolling;
the data processing device is used for carrying out a correlation test, a correlation relation between a detection result of a continuous compaction index (a vibration compaction value VCV) and a detection result of a conventional compaction index (a foundation coefficient K30) of a correlation test filler is established, and then a vibration compaction target value in the continuous compaction index is determined through a conventional compaction index control value and provides a comparison standard for the compaction detection of a subsequent road foundation section.
Specifically, in three different compaction degree intervals of high (compaction coefficient > 90%), medium (80% < compaction coefficient less than or equal to 90%) and low (70% < compaction coefficient less than or equal to 80%), extracting detection data of a plurality of vibration compaction values VCV and a plurality of foundation coefficients K30 in the area; acquiring a correlation coefficient between the vibration compaction value VCV and the foundation coefficient K30; when the correlation coefficient is larger than or equal to 0.7, the data processing device determines a vibration compaction target value according to the control value of the foundation coefficient K30; comparing the detected vibration compaction value with the vibration compaction target value, and if the detected vibration compaction value is not less than the vibration compaction target value, the roadbed rolling at the detection position is qualified; and if the detected vibration compaction value is smaller than the vibration compaction target value, the roadbed rolling at the detection position is unqualified, and the road roller rolls again.
When a real-time compaction detection system is adopted for detecting the compaction quality, regression analysis must be carried out on the vibration compaction value and the compaction degree or the mechanical index value which is approved as compaction quality assessment, and a reasonable target value or a target value interval of the vibration compaction value is determined according to the compaction density requirement or the mechanical index requirement, so that the detection result is judged, and the compaction degree is evaluated.
And finally obtaining a roadbed compaction degree, uniformity and stability plane distribution diagram according to the data processing and analysis results of the data processing device and the roadbed position information and filling thickness information acquired by the positioning unit, and comprehensively reflecting the roadbed compaction quality. And for the undervoltage part, the road roller performs pressure compensation, and the part which reaches the compaction standard is not rolled continuously, so that excessive further compaction is avoided.
Step S300, displaying the processed and analyzed data result on a display device.
And S400, uploading the processed and analyzed data to a management device, and remotely and real-timely grasping the roadbed compaction quality.
The management device is divided into a data uploading unit and a data query processing unit.
Specifically, data are uploaded through a data uploading system in the management system, and the data are inquired and processed through a data inquiry processing system, so that the roadbed compaction quality can be remotely mastered in real time, and basic data are provided for the intelligent management of the roadbed quality in the later period.
The system and method for detecting the substantial continuous pressure of the roadbed according to the present invention will be further described with reference to a specific embodiment.
The collecting device collects position information, filling thickness information, vibration compaction values of road roller vibration wheels, grading information of roadbed filler particles and water content information of roadbed fillers, and the digital processing device processes and analyzes the collected information. As shown in fig. 5, the graph shows the variation of the vibrocompaction values with the increase of rolling passes on the same rolling track, wherein the rollers of the 1 st to 4 th pass are weak vibrated, and the rollers of the 5 th to 11 th pass are strong vibrated. As can be seen in fig. 5, the continuous compaction test curves of pass 3 and pass 4 are very close, indicating that the filling material is difficult to compact further in the weak vibration mode of the roller; and starting to use strong vibration in the 5 th pass, wherein the vibration compaction value VCV is greatly increased after each pass of compaction, but the increase amplitude of the vibration compaction value VCV is smaller as the number of passes of compaction is increased. Due to the non-uniformity of the filler, the non-uniformity of the vibration compaction value is more obvious in the later period of rolling.
Extracting detection data of a plurality of vibration compaction values VCV and a plurality of foundation coefficients K30 in three different compaction degree intervals with a compaction coefficient of 96%, a compaction coefficient of 85% and a compaction coefficient of 72%, performing regression analysis to obtain correlation coefficients of the plurality of vibration compaction values VCV and the plurality of foundation coefficients K30, wherein the correlation coefficient is 0.82 as shown in FIG. 4, namely the correlation coefficient is greater than 0.7, the correlation between the vibration compaction values VCV and the foundation coefficients K30 is established, the data processing device determines a vibration compaction target value through a control value of the foundation coefficient K30, compares the detected vibration compaction value with the vibration compaction target value, and if the detected vibration compaction value is greater than or equal to the vibration compaction target value, the roadbed is rolled to be qualified; and if the detected vibration compaction value is smaller than the vibration compaction target value, the roadbed rolling is unqualified, and the road roller rolls again. As shown in fig. 6, the final roadbed compaction degree, uniformity and stability distribution map is obtained.
In summary, the present invention provides a roadbed continuous pressing substantial quantity detection system and method, the system includes an acquisition device, a data processing device, a display device, a management device and a central control device, the acquisition device includes a vibration acquisition unit, a grading identification unit, a moisture content detection unit and a positioning unit; the method comprises the steps that an acquisition device acquires information and transmits the acquired information to a digital processing device, the digital processing device processes and analyzes the acquired information to obtain processed and analyzed data, and the compaction parameter adjustment of the road roller is controlled based on the processed and analyzed data, so that the roadbed compaction quality is improved. The invention provides a novel vibration, grading and moisture content continuous detection system and method for roadbed compaction quality, which provides a more accurate roadbed continuous intelligent compaction detection system and method by mounting a filler particle grading identification unit and a moisture sensor on a road roller and a compaction wheel, so that on-site compaction parameters can be conveniently adjusted in time, and the on-site roadbed compaction quality is improved.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (10)
1. A high-speed railway roadbed compaction quality continuous detection system is characterized by comprising: the system comprises an acquisition device, a data processing device, a display device, a management device and a central control device;
the acquisition device is arranged on the road roller and used for acquiring information and sending the acquired information to the data processing device for processing and analysis;
the data processing device is arranged on the road roller and used for receiving the information acquired by the acquisition device, processing and analyzing the information acquired by the acquisition device to obtain processed and analyzed data, and judging the roadbed compaction quality based on the processed and analyzed data;
the display device is arranged on the road roller and is used for displaying the processed and analyzed data;
the management device remotely obtains the roadbed compaction quality condition in real time based on the processed and analyzed data uploaded to the management device;
the central control device is connected with and controls the acquisition device, the data processing device, the display device and the management device.
2. The system of claim 1, wherein the collection device comprises a positioning unit, a vibration collection unit, a grading identification unit and a moisture content detection unit;
the positioning unit is used for acquiring position information and filling thickness information of roadbed detection;
the vibration acquisition unit is used for acquiring vibration response information of a vibration wheel of the road roller;
the grading identification unit comprises a camera and an image identifier, the camera is connected with the image identifier, and the image identifier identifies the roadbed surface image acquired by the camera to obtain grading information of roadbed filler particles;
the moisture content detection unit comprises a moisture sensor and is used for acquiring moisture content information of the roadbed filler.
3. The system of claim 2, wherein the data processing device is connected to the positioning unit through a data line, and is used for receiving position information and filling thickness information of the roadbed detection;
the vibration response information is a vibration compaction value, and the digital processing device is connected to the vibration acquisition unit through a data line and is used for receiving the vibration compaction value;
the digital processing device is connected with the grading identification unit through a data line and is used for receiving grading information of the roadbed filler particles, obtaining the maximum particle size, curvature coefficient and uneven coefficient of the filler based on the grading information of the roadbed filler particles, and judging the difference of grading between the roadbed filler and the correlation test filler based on the maximum particle size, curvature coefficient and uneven coefficient;
the data processing device is connected with the moisture content detection unit through a data line and used for receiving the moisture content information of the roadbed filler, comparing the moisture content information of the roadbed filler with the optimal moisture content of the roadbed filler to obtain a difference value between the moisture content information of the roadbed filler and the optimal moisture content, and judging whether the corresponding position of the roadbed filler needs to be watered based on the difference value.
4. The system according to claim 3, wherein the data processing device is configured to obtain a correlation coefficient between the vibration compaction value at the detection position and a conventional compaction index value of the correlation test filler, and when the correlation coefficient is greater than or equal to 0.7, a correlation between the vibration compaction value and the conventional compaction index value of the correlation test filler is established, and the data processing device determines a vibration compaction target value through a conventional compaction index control value of the correlation test filler, compares the detected vibration compaction value with the vibration compaction target value, and determines whether the roadbed is qualified for rolling.
5. A method for continuously detecting the compaction quality of a high-speed railway roadbed, which is characterized by adopting the system for continuously detecting the compaction quality of the high-speed railway roadbed according to any one of claims 1-4 to detect, and comprises the following steps:
the acquisition device acquires information and transmits the acquired information to the digital processing device;
the digital processing device receives the information acquired by the acquisition device, processes and analyzes the information acquired by the acquisition device to obtain processed and analyzed data, and judges the roadbed compaction quality based on the processed and analyzed data;
displaying the processed and analyzed data results on a display device;
and uploading the processed and analyzed data to a management device, and remotely mastering the roadbed compaction quality in real time.
6. The method of claim 5, wherein the step of the collecting means collecting information comprises:
the positioning unit collects position information and filling thickness information detected by the roadbed;
the vibration acquisition unit acquires vibration response information;
the grading identification unit collects grading information of roadbed filling particles;
and a moisture sensor in the moisture content detection unit acquires moisture content information of the roadbed filler.
7. The method of claim 6, wherein the step of the grading identification unit collecting grading information of filler particles comprises:
the camera collects images of the roadbed surface;
and the image recognizer recognizes the image of the roadbed surface to obtain the grading information of the filler particles.
8. The method of claim 7, wherein the digital processing device receives the information collected by the collecting device, processes and analyzes the information collected by the collecting device to obtain processed and analyzed data, and the step of determining the roadbed compaction quality based on the processed and analyzed data comprises:
the data processing device receives position information and filling thickness information detected by the roadbed;
the data processing device receives the water content information of the roadbed filler, compares the water content information of the roadbed filler with the optimal water content of the roadbed filler to obtain a difference value between the water content of the roadbed filler and the optimal water content, judges whether the roadbed filler at the detection position needs to be sprinkled based on the difference value, sprinkles the roadbed filler at the detection position if the difference value between the water content of the roadbed filler and the optimal water content is less than-2% or the difference value between the water content of the roadbed filler and the optimal water content is greater than 2%, and does not need to sprinkle the roadbed filler at the detection position if the difference value between the water content of the roadbed filler which is less than or equal to-2% and less than or equal to 2% and the optimal water content;
the data processing device receives the grading information of the roadbed filler particles, obtains the maximum particle size, the curvature coefficient and the uneven coefficient of the roadbed filler based on the grading information of the roadbed filler particles, and judges the difference of the grading information between the roadbed filler and the correlation test filler based on the maximum particle size, the curvature coefficient and the uneven coefficient;
when a curvature coefficient of 0.8 × a correlation test filler < a curvature coefficient of a roadbed filler <1.2 × a curvature coefficient of the correlation test filler, and an unevenness coefficient of 0.8 × a correlation test filler < an unevenness coefficient of the roadbed filler <1.2 × an unevenness coefficient of the correlation test filler, the data processing device receives the vibration response information, the vibration response information is a vibration compaction value, the data processing device obtains a correlation coefficient between the vibration compaction value of the detection position and a regular compaction index value of the correlation test filler, when the correlation coefficient is equal to or greater than 0.7, a correlation between the vibration compaction value of the detection position and the regular compaction index value of the correlation test filler is established, the data processing device determines a vibration compaction target value by a regular compaction index control value of the correlation test filler, the data processing device compares the detected vibration compaction pressure value with the vibration compaction target value, and judging whether the roadbed at the detection position is qualified in rolling.
9. The method of claim 8, wherein the data processing device receives the vibratory response information, the vibratory response information being vibratory compaction values, and the step of the data processing device obtaining a correlation coefficient between the vibratory compaction values at the test locations and conventional compaction index values for a correlation test charge comprises:
extracting detection data of a plurality of vibration compaction values and a plurality of conventional compaction index values of the detection position in three different compaction degree intervals of high, medium and low; wherein the high compaction degree is: the compaction coefficient is > 90%, and the medium compaction degree is: 80 percent, the compaction coefficient is less than or equal to 90 percent, and the low compaction degree is as follows: 70 percent < the compaction coefficient is less than or equal to 80 percent.
10. The method of claim 9, wherein the step of comparing the detected vibration compaction value with the vibration compaction target value by the data processing device and judging whether the roadbed at the detected position is rolled up satisfactorily comprises the steps of:
comparing the detected vibration compaction value with the vibration compaction target value, and if the detected vibration compaction value is not less than the vibration compaction target value, the roadbed rolling at the detection position is qualified; and if the detected vibration compaction value is smaller than the vibration compaction target value, the roadbed rolling at the detection position is unqualified, and the road roller rolls again.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910911313.5A CN111024922A (en) | 2019-09-25 | 2019-09-25 | High-speed railway roadbed compaction quality continuous detection system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910911313.5A CN111024922A (en) | 2019-09-25 | 2019-09-25 | High-speed railway roadbed compaction quality continuous detection system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111024922A true CN111024922A (en) | 2020-04-17 |
Family
ID=70199572
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910911313.5A Pending CN111024922A (en) | 2019-09-25 | 2019-09-25 | High-speed railway roadbed compaction quality continuous detection system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111024922A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523616A (en) * | 2020-05-14 | 2020-08-11 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Coarse-grained soil filler grading identification method based on convolutional neural network and application system |
| CN111562077A (en) * | 2020-07-14 | 2020-08-21 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | High-speed railway roadbed comprehensive test system and method |
| CN111648183A (en) * | 2020-05-25 | 2020-09-11 | 中铁六局集团有限公司 | Continuous compaction construction method for railway roadbed |
| CN112127342A (en) * | 2020-10-19 | 2020-12-25 | 四川升拓检测技术股份有限公司 | Method for monitoring roadbed compaction quality based on frequency spectrum and amplitude |
| CN112267357A (en) * | 2020-10-21 | 2021-01-26 | 中国铁道科学研究院集团有限公司 | Roadbed settlement and lifting control equipment and method |
| CN112761042A (en) * | 2020-12-24 | 2021-05-07 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Vehicle-mounted water content automatic detection and spraying integrated equipment |
| CN113129283A (en) * | 2021-04-19 | 2021-07-16 | 河北工业大学 | Digital image-based filler grading intelligent detection compaction control method |
| CN113158558A (en) * | 2021-04-02 | 2021-07-23 | 哈尔滨理工大学 | High-speed railway roadbed continuous compaction analysis method, device and analyzer |
| CN113250042A (en) * | 2021-05-06 | 2021-08-13 | 黑龙江工程学院 | Detection method for rolling quality of high-speed railway roadbed |
| CN113373764A (en) * | 2021-04-20 | 2021-09-10 | 黑龙江工程学院 | Pavement continuous compaction quality monitoring method, acquisition terminal, monitoring terminal and system |
| CN114493291A (en) * | 2022-01-28 | 2022-05-13 | 中铁北京工程局集团有限公司 | Intelligent detection method and system for high fill quality |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103061236A (en) * | 2013-02-06 | 2013-04-24 | 黑龙江工程学院 | Continuous railroad bed compaction quality monitoring and controlling system and working method |
| CN104562899A (en) * | 2014-12-19 | 2015-04-29 | 中国铁道科学研究院铁道建筑研究所 | Measuring system and measuring method for continuous compaction |
| CN107831217A (en) * | 2017-11-02 | 2018-03-23 | 清华大学 | One kind fills Continuous compacting acoustic wave sensing system and method |
| CN109898391A (en) * | 2019-03-19 | 2019-06-18 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Roadbed intelligence debulking systems based on unmanned and information-based detection technique |
-
2019
- 2019-09-25 CN CN201910911313.5A patent/CN111024922A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103061236A (en) * | 2013-02-06 | 2013-04-24 | 黑龙江工程学院 | Continuous railroad bed compaction quality monitoring and controlling system and working method |
| CN104562899A (en) * | 2014-12-19 | 2015-04-29 | 中国铁道科学研究院铁道建筑研究所 | Measuring system and measuring method for continuous compaction |
| CN107831217A (en) * | 2017-11-02 | 2018-03-23 | 清华大学 | One kind fills Continuous compacting acoustic wave sensing system and method |
| CN109898391A (en) * | 2019-03-19 | 2019-06-18 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Roadbed intelligence debulking systems based on unmanned and information-based detection technique |
Non-Patent Citations (3)
| Title |
|---|
| 中国铁路总公司: "《中国铁路总公司企业标准 Q/CR铁路路基填筑工程连续压实控制技术规程》", 16 February 2015 * |
| 杨维威: "铁路路基填筑中的连续压实控制技术应用", 《路基工程》 * |
| 王涛: "大型铁路站场路基应用路基连续压实控制系统施工技术研究", 《价值工程》 * |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523616A (en) * | 2020-05-14 | 2020-08-11 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Coarse-grained soil filler grading identification method based on convolutional neural network and application system |
| CN111648183A (en) * | 2020-05-25 | 2020-09-11 | 中铁六局集团有限公司 | Continuous compaction construction method for railway roadbed |
| CN111562077A (en) * | 2020-07-14 | 2020-08-21 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | High-speed railway roadbed comprehensive test system and method |
| CN112127342B (en) * | 2020-10-19 | 2022-03-04 | 四川升拓检测技术股份有限公司 | Method for monitoring roadbed compaction quality based on frequency spectrum and amplitude |
| CN112127342A (en) * | 2020-10-19 | 2020-12-25 | 四川升拓检测技术股份有限公司 | Method for monitoring roadbed compaction quality based on frequency spectrum and amplitude |
| CN112267357A (en) * | 2020-10-21 | 2021-01-26 | 中国铁道科学研究院集团有限公司 | Roadbed settlement and lifting control equipment and method |
| CN112761042A (en) * | 2020-12-24 | 2021-05-07 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Vehicle-mounted water content automatic detection and spraying integrated equipment |
| CN113158558A (en) * | 2021-04-02 | 2021-07-23 | 哈尔滨理工大学 | High-speed railway roadbed continuous compaction analysis method, device and analyzer |
| CN113158558B (en) * | 2021-04-02 | 2023-02-24 | 哈尔滨理工大学 | High-speed railway roadbed continuous compaction analysis method, device and analyzer |
| CN113129283A (en) * | 2021-04-19 | 2021-07-16 | 河北工业大学 | Digital image-based filler grading intelligent detection compaction control method |
| CN113129283B (en) * | 2021-04-19 | 2022-11-29 | 河北工业大学 | Digital image-based filler grading intelligent detection compaction control method |
| CN113373764A (en) * | 2021-04-20 | 2021-09-10 | 黑龙江工程学院 | Pavement continuous compaction quality monitoring method, acquisition terminal, monitoring terminal and system |
| CN113250042B (en) * | 2021-05-06 | 2023-02-17 | 黑龙江工程学院 | Detection method for rolling quality of high-speed railway roadbed |
| CN113250042A (en) * | 2021-05-06 | 2021-08-13 | 黑龙江工程学院 | Detection method for rolling quality of high-speed railway roadbed |
| CN114493291A (en) * | 2022-01-28 | 2022-05-13 | 中铁北京工程局集团有限公司 | Intelligent detection method and system for high fill quality |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111024922A (en) | High-speed railway roadbed compaction quality continuous detection system and method | |
| CN110939040B (en) | Roadbed compaction quality detection method and system based on modal parameter identification | |
| CN207095467U (en) | A kind of coiled material measuring thickness device | |
| CN102401825B (en) | Integrated slope runoff simulation and monitoring device | |
| CN103364315B (en) | A kind of sintering solid fuel granularity online test method and pick-up unit | |
| CN111444560B (en) | High-filling compaction quality real-time evaluation method considering influence of underlying surface | |
| CN110487909B (en) | Non-invasive soil moisture sound wave detection device and method | |
| CN106769775B (en) | Device and method for detecting water seepage of side seepage-preventing asphalt pavement under dynamic water pressurization | |
| WO2019218446A1 (en) | System and method for real-time measurement of height of spray boom relative to crop canopy | |
| CN113533130A (en) | Asphalt pavement compaction real-time monitoring method based on intelligent particles | |
| CN112267357A (en) | Roadbed settlement and lifting control equipment and method | |
| CN113933394A (en) | Integrated compaction sound wave detection system and method for contact type rolling machine | |
| CN109667212A (en) | A kind of measurement method of bituminous pavement paving compacted thickness | |
| CN110095588B (en) | Automatic acquisition equipment for cone dynamic sounding test | |
| CN114134784A (en) | Roadbed compaction quality continuous detection system and method based on actual amplitude of vibrating wheel | |
| CN219871328U (en) | Saline and alkaline land cotton planting soil check out test set | |
| CN105928984B (en) | A kind of non-contact water salt sensor and its test method based on the soil texture | |
| CN214895305U (en) | Effective compaction time testing arrangement of bituminous paving | |
| CN110440886A (en) | A kind of the seedling disk application rate dynamic metering device and metering method of seedling production line | |
| CN116046898A (en) | Novel machine soil non-contact type packing compaction state judging method and application thereof | |
| CN115162309A (en) | Integrated compaction momentum detection system and method for contact type rolling machine | |
| CN212316877U (en) | Compaction monitoring devices of railway roadbed | |
| CN218345868U (en) | Feedback adjusting device for roadbed vibrating compaction | |
| CN106677038A (en) | Roadbed uniformity detection system and method based on vibratory roller | |
| CN114673050A (en) | Feedback adjusting method for roadbed vibration compaction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200417 |