CN110887744B - Mass data synchronous monitoring method for shear test of large-size rock mass anchoring structural plane based on circular queue - Google Patents

Mass data synchronous monitoring method for shear test of large-size rock mass anchoring structural plane based on circular queue Download PDF

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CN110887744B
CN110887744B CN201911115920.7A CN201911115920A CN110887744B CN 110887744 B CN110887744 B CN 110887744B CN 201911115920 A CN201911115920 A CN 201911115920A CN 110887744 B CN110887744 B CN 110887744B
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刘广建
罗战友
杜时贵
吕原君
雍睿
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Ningbo University
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    • G01N3/24Investigating strength properties of solid materials by application of mechanical stress by applying steady shearing forces
    • GPHYSICS
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    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract

A large-volume data synchronous monitoring method for a large-size rock mass anchoring structural plane shear test based on a circular queue is characterized in that collected signals are transmitted to a signal receiving station by a signal collector and are preprocessed; converting the plurality of signals into digital signals by processing; transmitting the digital signal to a synchronous signal processing station to generate a GPS second pulse and a synchronous signal; the synchronous signals are transmitted to a signal processing workstation, a large number of signals generated in the shearing test process are identified and analyzed, the generated large-volume data are transmitted to a memory through cloud storage, the large-volume data are processed through a data analysis program, a stress-strain curve and a displacement deformation cloud picture are generated, the stress-strain curve and the displacement deformation cloud picture are transmitted to an intelligent upper computer system and are converted into image signals, the image signals are displayed in real time in a display, and the data analysis program is corrected through man-machine interaction. The invention increases the utilization rate of the monitoring data, can process the monitoring data in real time and correct the test process, and improves the accuracy and the scientificity of the test result.

Description

Mass data synchronous monitoring method for shear test of large-size rock mass anchoring structural plane based on circular queue
Technical Field
The invention relates to a large-volume data synchronous monitoring method for a shearing test of a large-size rock mass anchoring structural plane based on a circular queue, belonging to the technical field of indoor physical mechanical tests.
Background
In recent years, with the rapid development of economy in China, some large-scale construction projects related to nationwide nationalities, such as large-scale hydropower engineering in the middle and western regions, highways and highways, deep resource exploitation, strategic oil reserve, nuclear power engineering and the like, are implemented successively, the problems of stability and catastrophe of rock masses in engineering areas are quite prominent, and particularly landslide geological disasters of side slopes of large-scale open mines, water conservancy and the like can seriously affect production, and can seriously cause casualties and major loss of equipment and mineral resources. A large number of literature researches show that the root cause of large-scale side slope geological disasters is that the internal structural surface slides under the action of a certain load, so that the whole overlying rock body is unstable. The anchoring technology is an important means for reinforcing geotechnical engineering, and is vigorously developed and widely used in the field of rock engineering by virtue of unique reinforcing benefits, convenient construction process and relatively low economic manufacturing cost. Aiming at the problem, scholars at home and abroad obtain rich academic achievements in the aspect of the test of the anchor rod reinforced structural surface, but most of documents aim at the small rock mass anchored structural surface (the length of the structural surface is not more than 1m at most), the difference between the size of the structural surface and the engineering site is large, the obtained shearing strength data of the anchored structural surface has a certain difference with an actual value, and the shearing test of the large rock mass anchored structural surface (the length of the structural surface is more than 5m) needs to be carried out. At present, the data monitoring aspect of the large-size rock mass anchoring structural plane shear test process has some technical problems: (1) the anchoring structure surface test has many monitoring objects, including anchor rods, anchoring bodies, the interior of a sample, the side surface of the sample, the whole test and the like, and monitoring instruments are complex and various and cannot synchronously acquire signals, so that the analysis result has large error; (2) besides a plurality of monitoring objects, the sample size is large, a plurality of monitoring instruments are needed for the same object, the generated data volume is large, real-time processing and storage cannot be realized, and the data utilization rate is low; (3) after the test is finished, signal processing is carried out, real-time analysis and display cannot be achieved, man-machine interaction cannot be achieved, and therefore errors in the test cannot be corrected timely.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides the large-volume data synchronous monitoring method for the shear test of the large-size rock mass anchoring structural plane based on the circular queue, which can realize synchronous acquisition of test data by different monitoring instruments, reduce the error and workload of subsequent data analysis, process and store the monitored large-volume data, increase the utilization rate of the monitored data, process the monitored data in real time and correct the test process, improve the accuracy and the scientificity of the test result and provide scientific basis for the design of the shear test of the large-size rock mass structural plane.
In order to achieve the purpose, the invention adopts the technical scheme that:
a large-volume data synchronous monitoring method for a shear test of a large-size rock mass anchoring structural plane based on a circular queue comprises the following steps:
(1) analyzing the size range of an acquisition object according to test requirements, wherein the acquisition object comprises an anchor rod, an anchoring body, the inside of a sample, the side surface of the sample and the whole test body, and then designing the type and the number of signal collectors, wherein the signal collectors comprise fiber bragg grating strings, resistance strain gauges, strain bricks, displacement sensors and image sensors;
(2) selecting the type and the number of signal receiving stations according to the number of the collectors in the step (1), transmitting the collected signals to the signal receiving stations by the signal collectors and preprocessing the signals, wherein the signal receiving stations comprise optical fiber modulation and demodulation instruments, dynamic resistance strain gauges, strain brick data processors, magnetostrictive displacement meters and CCD industrial cameras;
(3) the method comprises the following steps of utilizing a special signal channel to transmit various preprocessed signals to a signal collecting station, preprocessing the signals by the signal collecting station and transmitting the preprocessed signals to a digital signal processor, and converting the various signals into digital signals through processing;
(4) transmitting the digital signals in the step (3) to a synchronous signal processing station, transplanting an embedded real-time operating system, processing the digital signals in real time, specifically, utilizing a circular queue buffer mechanism, aiming at the five signals in the step (1), compiling five circular queue programs, identifying asynchronous signals in the acquisition process, performing fusion processing, and generating GPS second pulses and synchronous signals;
(5) the GPS second pulse in the step (4) is utilized, the time strict alignment of the signal receiving station is realized through a GPS second pulse trigger, and the GPS second pulse trigger is fed back to the signal collector to realize the strict alignment of the next collection time;
(6) transmitting the synchronous signals in the step (4) to a signal processing workstation, introducing a data analysis program, identifying and analyzing a large number of signals generated in the shearing test process to generate large-volume data, and transmitting the large-volume data to a large-volume data storage through cloud storage to realize the timely storage of the large-volume data;
(7) and meanwhile, in the signal processing workstation, further processing the mass data in the step (6) by using a data analysis program to generate digital signals such as a stress-strain curve, a displacement deformation cloud chart and the like, transmitting the digital signals to an intelligent upper computer system to be converted into image signals, displaying the image signals in real time in a display, and correcting the data analysis program in the step (6) through human-computer interaction.
Further, in the step (1), the sample is a large-size sample, and the length L, the width W and the height H of the large-size sample need to satisfy that L is more than or equal to 5m, W is more than or equal to 2m, and H is more than or equal to 1 m.
In the step (1), due to the particularity of the concrete sample manufacturing process, the arrangement modes and the application ranges of different signal collectors are different, and the collected data are also different; the fiber bragg grating string acquires strain data of the anchor rod, the resistance strain gauge acquires strain data of the anchor body, the strain brick acquires strain data inside the sample, the displacement sensor acquires deformation data of the side face of the sample, and the image sensor acquires displacement deformation data of the whole sample;
in the step (2), when five signal receiving stations are selected, the models of the same instrument are kept consistent, so that the sampling frequency is consistent with the data interface, and the same instrument needs to be connected by adopting the Ethernet to realize synchronous data acquisition;
in the step (3), the digital signal is binary coded, so that the digital signal has high anti-interference capability, longer transmission distance, small distortion amplitude, less occupied bandwidth and high transmission speed in the transmission process;
in the step (4), the circular queue process is as follows: after the operation is started, five circular queues CQ are firstly established1、CQ2…CQ5(ii) a Secondly, five signals are initially collected, and the collection time T is extracted1、T2…T5And sorting the data to find the maximum acquisition time Tmax(ii) a Thirdly, executing a judgment statement, namely: will TmaxWith GPS time T0By comparison, if Tmax=T0Then determining the initial acquisition time as TmaxIf T ismax>T0Then T will be0Increasing the GPS time interval delta T, executing the judgment statement again, and if T is reachedmax<T0It is heavyNewly collecting five signals, and executing circulation again; and finally, determining the initial acquisition time, generating a GPS pulse per second, fusing the five signals, and finishing the operation.
In the step (5), the precision of the GPS pulse can reach 1us, and high-precision data acquisition and processing can be realized;
in the step (7), the upper computer system has a man-machine interaction function, so that test operators can master the test process in real time, correct errors in time and process emergency situations.
The beneficial effects of the invention are as follows: the synchronous acquisition of test data by different monitoring instruments is realized, the error and workload of subsequent data analysis are reduced, the monitored mass data can be processed and stored, the utilization rate of the monitored data is increased, the monitored data can be processed in real time, the test process can be corrected, the accuracy and the scientificity of test results are improved, and a scientific basis is provided for the design of a large rock mass structural plane shear test. Meanwhile, the operation is simple and convenient, the cost is low, and the application range is wide.
Drawings
FIG. 1 is a flow chart of a large-volume data synchronous monitoring method for a large-size rock mass anchoring structural plane shear test of the invention;
FIG. 2 is a schematic diagram of the circular queue method of the present invention.
Detailed Description
The present invention will be further explained below.
Referring to fig. 1 and 2, a large-volume data synchronous monitoring method for a large-size rock mass anchoring structural plane shear test based on a circular queue comprises the following steps:
(1) analyzing the size range of an acquisition object according to test requirements, wherein the acquisition object comprises an anchor rod, an anchoring body, the inside of a sample, the side surface of the sample and the whole test body, and then designing the type and the number of signal collectors, wherein the signal collectors comprise fiber bragg grating strings, resistance strain gauges, strain bricks, displacement sensors and image sensors;
(2) selecting the type and the number of signal receiving stations according to the number of the collectors in the step (1), transmitting the collected signals to the signal receiving stations by the signal collectors and preprocessing the signals, wherein the signal receiving stations comprise optical fiber modulation and demodulation instruments, dynamic resistance strain gauges, strain brick data processors, magnetostrictive displacement meters and CCD industrial cameras;
(3) the method comprises the following steps of utilizing a special signal channel to transmit various preprocessed signals to a signal collecting station, preprocessing the signals by the signal collecting station and transmitting the preprocessed signals to a digital signal processor, and converting the various signals into digital signals through processing;
(4) transmitting the digital signals in the step (3) to a synchronous signal processing station, transplanting an embedded real-time operating system, processing the digital signals in real time, specifically, utilizing a circular queue buffer mechanism, aiming at the five signals in the step (1), compiling five circular queue programs, identifying asynchronous signals in the acquisition process, performing fusion processing, and generating GPS second pulses and synchronous signals;
(5) the GPS second pulse in the step (4) is utilized, the time strict alignment of the signal receiving station is realized through a GPS second pulse trigger, and the GPS second pulse trigger is fed back to the signal collector to realize the strict alignment of the next collection time;
(6) transmitting the synchronous signals in the step (4) to a signal processing workstation, introducing a data analysis program, identifying and analyzing a large number of signals generated in the shearing test process to generate large-volume data, and transmitting the large-volume data to a large-volume data storage through cloud storage to realize the timely storage of the large-volume data;
(7) and meanwhile, in the signal processing workstation, further processing the mass data in the step (6) by using a data analysis program to generate digital signals such as a stress-strain curve, a displacement deformation cloud chart and the like, transmitting the digital signals to an intelligent upper computer system to be converted into image signals, displaying the image signals in real time in a display, and correcting the data analysis program in the step (6) through human-computer interaction.
Further, in the step (1), the sample is a large-size sample, and the length L, the width W and the height H of the large-size sample need to satisfy that L is more than or equal to 5m, W is more than or equal to 2m, and H is more than or equal to 1 m.
In the step (1), due to the particularity of the concrete sample manufacturing process, the arrangement modes and the application ranges of different signal collectors are different, and the collected data are also different; the fiber bragg grating string acquires strain data of the anchor rod, the resistance strain gauge acquires strain data of the anchor body, the strain brick acquires strain data inside the sample, the displacement sensor acquires deformation data of the side face of the sample, and the image sensor acquires displacement deformation data of the whole sample;
in the step (2), when five signal receiving stations are selected, the models of the same instrument are kept consistent, so that the sampling frequency is consistent with the data interface, and the same instrument needs to be connected by adopting the Ethernet to realize synchronous data acquisition;
in the step (3), the digital signal is binary coded, so that the digital signal has high anti-interference capability, longer transmission distance, small distortion amplitude, less occupied bandwidth and high transmission speed in the transmission process;
in the step (4), the circular queue process is as follows: after the operation is started, five circular queues CQ are firstly established1、CQ2…CQ5(ii) a Secondly, five signals are initially collected, and the collection time T is extracted1、T2…T5And sorting the data to find the maximum acquisition time Tmax(ii) a Thirdly, executing a judgment statement, namely: will TmaxWith GPS time T0By comparison, if Tmax=T0Then determining the initial acquisition time as TmaxIf T ismax>T0Then T will be0Increasing the GPS time interval delta T, executing the judgment statement again, and if T is reachedmax<T0If so, acquiring the five signals again, and executing the cycle again; and finally, determining the initial acquisition time, generating a GPS pulse per second, fusing the five signals, and finishing the operation.
In the step (5), the precision of the GPS pulse can reach 1us, and high-precision data acquisition and processing can be realized;
in the step (7), the upper computer system has a man-machine interaction function, so that test operators can conveniently master the test process in real time, correct errors in time and process emergency situations.
The scheme of this embodiment can realize that different monitoring instruments gather experimental data in step, has reduced follow-up data analysis's error and work load, can increase the utilization ratio of monitoring data to the big volume data processing and the storage of monitoring, can real-time processing monitoring data and revise the experimentation, has improved the accuracy and the scientificity of test result, provides scientific foundation for large-scale rock mass structural plane shear test's design. Meanwhile, the operation is simple and convenient, the cost is low, and the application range is wide.

Claims (8)

1. A large-volume monitoring data synchronization method for a large-size rock mass anchoring structural plane shear test based on a circular queue is characterized by comprising the following steps:
(1) analyzing the size range of an acquisition object according to test requirements, wherein the acquisition object comprises an anchor rod, an anchoring body, the inside of a sample, the side surface of the sample and the whole test body, and then designing the type and the number of signal collectors, wherein the signal collectors comprise fiber bragg grating strings, resistance strain gauges, strain bricks, displacement sensors and image sensors;
(2) selecting the type and the number of signal receiving stations according to the number of the collectors in the step (1), transmitting the collected signals to the signal receiving stations by the signal collectors and preprocessing the signals, wherein the signal receiving stations comprise optical fiber modulation and demodulation instruments, dynamic resistance strain gauges, strain brick data processors, magnetostrictive displacement meters and CCD industrial cameras;
(3) the method comprises the following steps of utilizing a special signal channel to transmit various preprocessed signals to a signal collecting station, preprocessing the signals by the signal collecting station and transmitting the preprocessed signals to a digital signal processor, and converting the various signals into digital signals through processing;
(4) transmitting the digital signals in the step (3) to a synchronous signal processing station, transplanting an embedded real-time operating system, processing the digital signals in real time, specifically, utilizing a circular queue buffer mechanism, aiming at the five signals in the step (1), compiling five circular queue programs, identifying asynchronous signals in the acquisition process, performing fusion processing, and generating GPS second pulses and synchronous signals;
(5) the GPS second pulse in the step (4) is utilized, the time strict alignment of the signal receiving station is realized through a GPS second pulse trigger, and the GPS second pulse trigger is fed back to the signal collector to realize the strict alignment of the next collection time;
(6) transmitting the synchronous signals in the step (4) to a signal processing workstation, introducing a data analysis program, identifying and analyzing a large number of signals generated in the shearing test process to generate large-volume data, and transmitting the large-volume data to a large-volume data storage through cloud storage to realize the timely storage of the large-volume data;
(7) and meanwhile, in the signal processing workstation, further processing the mass data in the step (6) by using a data analysis program to generate a stress-strain curve and a displacement deformation cloud picture, transmitting the stress-strain curve and the displacement deformation cloud picture to an intelligent upper computer system, converting the stress-strain curve and the displacement deformation cloud picture into image signals, displaying the image signals in a display in real time, and correcting the data analysis program in the step (6) through human-computer interaction.
2. The method for synchronizing the large-volume monitoring data of the shearing test of the large-size rock mass anchoring structural plane based on the circular queue as claimed in claim 1, wherein in the step (1), the sample is a large-size sample, and the length L, the width W and the height H of the large-size sample meet the requirement that L is more than or equal to 5m, W is more than or equal to 2m and H is more than or equal to 1 m.
3. The method for synchronizing the large-volume monitoring data of the shearing test of the large-size rock mass anchoring structural plane based on the circular queue as claimed in claim 1 or 2, wherein in the step (1), the collected data are different due to the particularity of the concrete sample manufacturing process and the difference of the arrangement mode and the application range of different signal collectors; the fiber bragg grating string collects strain data of the anchor rod, the resistance strain gauge collects strain data of the anchor body, the strain brick collects strain data inside the sample, the displacement sensor collects deformation data of the side face of the sample, and the image sensor collects displacement deformation data of the whole sample.
4. The method for synchronizing the large-volume monitoring data of the shearing test of the large-size rock mass anchoring structural plane based on the circular queue as claimed in claim 1 or 2, wherein in the step (2), when five signal receiving stations are selected, the models of the same instrument are kept consistent, so that the sampling frequency is consistent with the data interface, and the same instrument needs to be connected through the Ethernet to synchronously acquire the data.
5. The method for synchronizing the large-volume monitoring data of the shearing test of the large-size rock mass anchoring structural plane based on the circular queue as claimed in claim 1 or 2, wherein in the step (3), the digital signal is binary coded, so that the method has the advantages of high anti-interference capability, longer transmission distance, small distortion amplitude, less occupied bandwidth and high transmission speed in the transmission process.
6. The method for synchronizing the large-volume monitoring data of the shearing test of the large-size rock mass anchoring structural plane based on the circular queue as claimed in claim 1 or 2, wherein in the step (4), the circular queue process comprises the following steps: after the operation is started, five circular queues CQ are firstly established1、CQ2…CQ5(ii) a Secondly, five signals are initially collected, and the collection time T is extracted1、T2…T5And sorting the data to find the maximum acquisition time Tmax(ii) a Thirdly, executing a judgment statement, namely: will TmaxWith GPS time T0By comparison, if Tmax=T0Then determining the initial acquisition time as TmaxIf T ismax>T0Then T will be0Increasing the GPS time interval delta T, executing the judgment statement again, and if T is reachedmax<T0If so, acquiring the five signals again, and executing the cycle again; and finally, determining the initial acquisition time, generating a GPS pulse per second, fusing the five signals, and finishing the operation.
7. The method for synchronizing the large-volume monitoring data of the shearing test of the large-size rock mass anchoring structural plane based on the circular queue as claimed in claim 1 or 2, wherein in the step (5), the GPS pulse precision can reach 1us, and high-precision data acquisition and processing work can be realized.
8. The method for synchronizing the large-volume monitoring data of the shearing test of the large-size rock mass anchoring structural plane based on the circular queue as claimed in claim 1 or 2, wherein in the step (7), the upper computer system has a man-machine interaction function, so that a test operator can conveniently master the test process in real time, correct errors in time and process sudden conditions.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106846736A (en) * 2016-12-28 2017-06-13 中国科学院深圳先进技术研究院 A kind of sensing system of landslide Geological Hazards Monitoring
CN108920754A (en) * 2018-05-25 2018-11-30 重庆交通大学 The structural plane for shearing constitutive model and change in displacement based on strain softening controls slope stability dynamic evaluation method
CN109872508A (en) * 2019-01-28 2019-06-11 绍兴文理学院 Large surface mine landslide disaster method for early warning based on fiber grating
CN109883780A (en) * 2019-01-21 2019-06-14 绍兴文理学院 Method is determined based on the anchor structure face size threshold of large-scale full scale test
CN109883779A (en) * 2019-01-21 2019-06-14 绍兴文理学院 Anchor structure face dimensional effect shearing test design method
CN109900563A (en) * 2019-01-28 2019-06-18 绍兴文理学院 Oversize anchor structure face shearing test method
CN110243698A (en) * 2019-06-03 2019-09-17 绍兴文理学院 Cut damage area method for rapidly estimating in surface based on structural plane overall process Visualization

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105675409B (en) * 2016-03-31 2019-02-01 中国电建集团华东勘测设计研究院有限公司 Integral type rock mass discontinuity direct shear apparatus and direct shear test method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106846736A (en) * 2016-12-28 2017-06-13 中国科学院深圳先进技术研究院 A kind of sensing system of landslide Geological Hazards Monitoring
CN108920754A (en) * 2018-05-25 2018-11-30 重庆交通大学 The structural plane for shearing constitutive model and change in displacement based on strain softening controls slope stability dynamic evaluation method
CN109883780A (en) * 2019-01-21 2019-06-14 绍兴文理学院 Method is determined based on the anchor structure face size threshold of large-scale full scale test
CN109883779A (en) * 2019-01-21 2019-06-14 绍兴文理学院 Anchor structure face dimensional effect shearing test design method
CN109872508A (en) * 2019-01-28 2019-06-11 绍兴文理学院 Large surface mine landslide disaster method for early warning based on fiber grating
CN109900563A (en) * 2019-01-28 2019-06-18 绍兴文理学院 Oversize anchor structure face shearing test method
CN110243698A (en) * 2019-06-03 2019-09-17 绍兴文理学院 Cut damage area method for rapidly estimating in surface based on structural plane overall process Visualization

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
岩石锚固界面剪切流变试验及模型研究;伍国军等;《岩石力学与工程学报》;20100315(第03期);第520-527页 *

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