CN112629714A - Wireless intelligent monitoring system and method for stress state of inner space of rock-soil body - Google Patents
Wireless intelligent monitoring system and method for stress state of inner space of rock-soil body Download PDFInfo
- Publication number
- CN112629714A CN112629714A CN202011199426.6A CN202011199426A CN112629714A CN 112629714 A CN112629714 A CN 112629714A CN 202011199426 A CN202011199426 A CN 202011199426A CN 112629714 A CN112629714 A CN 112629714A
- Authority
- CN
- China
- Prior art keywords
- stress
- wireless
- soil
- rock
- signals
- 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
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
Abstract
The invention relates to the technical field of rock-soil mass monitoring, in particular to a wireless intelligent monitoring system and a wireless intelligent monitoring method for the internal space stress state of a rock-soil mass, wherein the system comprises a wireless three-dimensional soil pressure cell, a wireless data acquisition system and a stress monitoring system; the wireless three-dimensional soil pressure box is used for converting the detected soil pressure data signals and the positioning coordinate data signals into electric signals to be transmitted in a radio wave form; the wireless data acquisition system is used for receiving the soil pressure and the positioning electric signals and then converting the soil pressure and the positioning electric signals into data signals to be transmitted to the stress monitoring system; the stress monitoring system is used for separating the positioning coordinates and the soil pressure signals, establishing a relative coordinate system by using the known reference point positioning coordinates and the monitoring point positioning coordinates, establishing a three-dimensional visual model, calculating the main stress of the monitoring point by using a post-processing program, quantitatively analyzing the elastic-plastic stress state of the rock and soil body and making corresponding prompts. The invention can better monitor the rock body.
Description
Technical Field
The invention relates to the technical field of rock and soil mass monitoring, in particular to a wireless intelligent monitoring system and method for the internal space stress state of a rock and soil mass.
Background
Stress monitoring of geotechnical bodies is always one of important monitoring contents of geotechnical engineering. At present, most of spatial stress monitoring in the field of geotechnical engineering utilizes wired strain roses or wired soil pressure boxes to detect soil pressure data inside a geotechnical body, and then data are manually sorted, calculated and analyzed, so that a complete intelligent visual geotechnical body internal stress monitoring system is not formed yet. The traditional rock-soil body internal stress monitoring method mainly has the following defects:
(1) the traditional soil pressure detection equipment has no three-dimensional visual modeling and wireless positioning functions, and cannot visually, intuitively and accurately describe the relative position relationship between a positioning monitoring point and a monitored body, so that the actual stress state and the development trend of a failure surface in a rock and soil body cannot be accurately described;
(2) the traditional rock-soil body stress monitoring still needs to manually process detection data, has low intelligent degree and large data processing personal error, does not form a complete monitoring system, and cannot timely feed back a monitoring result and warn a failure state.
Disclosure of Invention
The invention provides a wireless intelligent monitoring system and a wireless intelligent monitoring method for the internal space stress state of a rock-soil body, which can overcome certain defects in the prior art.
The wireless intelligent monitoring system for the stress state of the internal space of the rock-soil mass comprises a wireless three-dimensional soil pressure box, a wireless data acquisition system and a stress monitoring system;
the wireless three-dimensional soil pressure box is used for converting the detected soil pressure data signals and the positioning coordinate data signals into electric signals to be transmitted in a radio wave form;
the wireless data acquisition system is used for receiving the soil pressure and the positioning electric signals and then converting the soil pressure and the positioning electric signals into data signals to be transmitted to the stress monitoring system;
the stress monitoring system is used for separating the positioning coordinates and the soil pressure signals, establishing a relative coordinate system by using the known reference point positioning coordinates and the monitoring point positioning coordinates, establishing a three-dimensional visual model, calculating the main stress of the monitoring point by using a post-processing program, quantitatively analyzing the elastic-plastic stress state of the rock and soil body and making corresponding prompts.
Preferably, the wireless three-dimensional soil pressure box comprises a fourteen-surface base, a wireless pressure sensor, a wireless positioning module, a central microprocessor and a signal sending module;
the wireless pressure sensor is used for detecting soil pressure signals;
the wireless positioning module is used for positioning a three-dimensional space coordinate at the center of the soil pressure cell;
the central microprocessor is used for receiving the pressure signal and the coordinate signal, converting the received signals into electric signals and expanding the electric signals;
the signal sending module is used for transmitting the amplified electric signal in a radio wave mode.
Preferably, the tetrakaidecahedron base is composed of a length of 2L and a width ofGao WeiThe fourteen-face body base is formed by cutting along the middle points of width and height and trisection points of length, and the fourteen-face body base has sections in different directions.
Preferably, the wireless pressure sensor is installed on the cross section of the fourteen-surface body base, and the wireless positioning module, the central microprocessor and the signal sending module are all embedded inside the fourteen-surface body base.
Preferably, the wireless data acquisition system comprises a wireless signal receiver and an analog-to-digital conversion module, wherein the wireless signal receiver converts the received soil pressure and three-dimensional space coordinate electric signals into digital signals through the analog-to-digital conversion module, and transmits the digital signals to the stress monitoring system.
Preferably, the stress monitoring system comprises a three-dimensional visual modeling module and a soil pressure post-processing module;
after receiving the coordinates of the monitoring points, the three-dimensional visual modeling module calculates relative positions according to the coordinates of the reference points by a space analytic geometry principle and establishes a relative coordinate system, and then establishes a three-dimensional visual model by combining the input structural size of the monitored rock and soil mass;
the soil pressure post-processing module automatically calculates the principal stress according to the received soil pressure information, automatically draws a coulomb-molar stress circle and an intensity line by combining the input physical parameters of the rock and soil mass, intelligently analyzes whether the rock and soil mass is in a plastic zone state and makes corresponding prompts.
The invention also provides a wireless intelligent monitoring method for the internal space stress state of the rock-soil mass, which adopts the wireless intelligent monitoring system for the internal space stress state of the rock-soil mass and comprises the following steps:
firstly, a wireless three-dimensional soil pressure box detects soil pressure signals and converts positioning coordinate signals into electric signals to be transmitted to a wireless data acquisition system in a radio wave form;
secondly, the wireless data acquisition system converts the received signals into data signals and transmits the data signals to the stress monitoring system;
thirdly, after the stress monitoring system receives the signal, the following steps are carried out:
3.1, inputting the construction size and the datum point positioning coordinate of the detected rock-soil body, calculating the relative position of the monitoring point and the datum point by using the monitoring point positioning coordinate, selecting a characteristic datum point as a coordinate origin, establishing a relative coordinate system, and establishing a three-dimensional visual model according to the relative coordinate and the construction size;
3.2, automatically calculating the space principal stress according to the pressure data, wherein the calculation method comprises the following steps:
calculating a spatial stress component according to the following formula:
[σij]=A-1·[σl];
wherein [ sigma ]ij]-a matrix of columns of spatial stress components;
[σl]-detecting the resulting positive stress column matrix;
a-is a stress component coefficient matrix, and each group of sigma obtained by detection is constant reversiblelAll have one-to-one correspondence sigmaij;
Secondly, calculating the spatial principal stress sigma according to the stress tensor eigenequation1、σ2、σ3:
σ3-J1σ2-J2σ-J3=0;
In the formula, J1=σx+σy+σz;
J3=det(σij);
And 3.3, automatically drawing a coulomb-molar stress circle and an intensity line according to the calculated main stress and the input physical parameters of the cohesive force C and the internal friction angle phi of the rock-soil body, judging whether the rock-soil body is in a plastic area according to the related positions of the stress circle and the intensity line, if so, switching on a red signal lamp circuit, and otherwise, switching on a green signal lamp circuit.
The invention utilizes the functions of wireless signal transmission and wireless positioning of the three-dimensional soil pressure cell to monitor the internal space stress change state of the rock-soil body remotely, accurately and in real time, and utilizes the functions of three-dimensional visual modeling and automatic storage, calculation, analysis and warning of the post-processing program to monitor data to form a set of complete wireless rock-soil body internal space stress visual monitoring system, thereby greatly improving the intellectualization of the rock-soil body monitoring process.
Drawings
FIG. 1 is a schematic diagram of a wireless intelligent monitoring system for the internal spatial stress state of a rock-soil mass in embodiment 1;
fig. 2 is a schematic structural view of the wireless three-dimensional soil pressure cell in embodiment 1;
FIG. 3 is a schematic interface diagram of a stress monitoring system according to example 1;
FIG. 4 is a flow chart of a wireless intelligent monitoring method for the internal spatial stress state of a rock-soil mass in embodiment 1;
fig. 5 is a schematic view of monitoring a slope model in embodiment 2.
Detailed Description
For a further understanding of the invention, reference should be made to the following detailed description taken in conjunction with the accompanying drawings and examples. It is to be understood that the examples are illustrative of the invention and not limiting.
Example 1
As shown in fig. 1, the embodiment provides a wireless intelligent monitoring system for stress state of internal space of rock-soil mass, which comprises a wireless three-dimensional soil pressure cell 1, a wireless data acquisition system 2 and a stress monitoring system 3;
the wireless three-dimensional soil pressure box 1 is used for converting the detected soil pressure data signals and the positioning coordinate data signals into electric signals and transmitting the electric signals in a radio wave form;
the wireless data acquisition system 2 is used for receiving the soil pressure and the positioning electric signals and then converting the soil pressure and the positioning electric signals into data signals to be transmitted to the stress monitoring system 3;
the stress monitoring system 3 is used for separating the positioning coordinates and the soil pressure signals, establishing a relative coordinate system by utilizing the known reference point positioning coordinates and the monitoring point positioning coordinates, establishing a three-dimensional visual model, calculating the main stress of the monitoring point by utilizing a post-processing program, quantitatively analyzing the elastic-plastic stress state of the rock and soil body and making corresponding prompts.
As shown in fig. 2, in the present embodiment, the wireless three-dimensional soil pressure cell 1 includes a tetradecahedron base 4, a wireless pressure sensor 5, a wireless positioning module 6, a central microprocessor 7 and a signal sending module 8;
the wireless pressure sensor 5 is used for detecting soil pressure signals;
the wireless positioning module 6 is used for positioning a three-dimensional space coordinate at the center of the soil pressure cell;
the central microprocessor 7 is used for receiving the pressure signal and the coordinate signal, converting the received signals into electric signals and expanding the electric signals;
the signal sending module 8 is used for transmitting the amplified electric signal in a radio wave manner.
In this embodiment, the fourteen-face body base 4 has a length of 2L and a width ofGao WeiIs cut along the middle point of the width and the height and the trisection point of the length, and the fourteen-surface body base 4 has 7 pairs of sections in different directions. Selecting 6 cross sections in different directions shown in FIG. 2, and obtaining a full rank of a normal vector matrix A of the corresponding cross sections, 6 independent spatial stress components sigma of the tetrakaidecahedron base 4 can be solved according to the normal stress on the No. 1-6 cross sectionsxy。
In this embodiment, the wireless pressure sensor 5 is installed on the cross section of the fourteen-surface body base 4, and the wireless positioning module 6, the central microprocessor 7 and the signal sending module 8 are all embedded inside the fourteen-surface body base 4.
In this embodiment, the wireless data acquisition system 2 includes a wireless signal receiver 9 and an analog-to-digital conversion module 10, and the wireless signal receiver 9 converts the received soil pressure and three-dimensional space coordinate electrical signals into digital signals through the analog-to-digital conversion module 10, and transmits the digital signals to the stress monitoring system 3.
In this embodiment, the stress monitoring system 3 includes a three-dimensional visualization modeling module 11 and a soil pressure post-processing module 12; the stress monitoring system 3 receives the soil pressure data and the three-dimensional space coordinate data of the monitoring points, separates the soil pressure data and the three-dimensional space coordinate data and sends the separated data to the corresponding sub-modules; the interface schematic of the stress monitoring system 3 is shown in detail in fig. 3;
after receiving the coordinates of the monitoring points, the three-dimensional visual modeling module 11 calculates relative positions according to the coordinates of the reference points by a space analytic geometry principle, establishes a relative coordinate system, and establishes a three-dimensional visual model by combining the input structural size of the monitored rock-soil body;
the soil pressure post-processing module 12 automatically calculates the principal stress according to the received soil pressure information, automatically draws a coulomb-molar stress circle and an intensity line by combining the input physical parameters of the rock and soil mass, intelligently analyzes whether the rock and soil mass is in a plastic zone state and makes corresponding prompts.
As shown in fig. 4, the embodiment further provides a wireless intelligent monitoring method for the internal spatial stress state of the rock-soil mass, which adopts the above wireless intelligent monitoring system for the internal spatial stress state of the rock-soil mass, and includes the following steps:
firstly, a wireless three-dimensional soil pressure box 1 detects soil pressure signals and converts positioning coordinate signals into electric signals to be transmitted to a wireless data acquisition system 2 in a radio wave form;
secondly, the wireless data acquisition system 2 converts the received signals into data signals and transmits the data signals to the stress monitoring system 3;
thirdly, after the stress monitoring system 3 receives the signals, the following steps are carried out:
3.1, inputting the construction size and the datum point positioning coordinate of the detected rock-soil body, calculating the relative position of the monitoring point and the datum point by using the monitoring point positioning coordinate, selecting a characteristic datum point as a coordinate origin, establishing a relative coordinate system, and establishing a three-dimensional visual model according to the relative coordinate and the construction size;
3.2, automatically calculating the space principal stress according to the pressure data, wherein the calculation method comprises the following steps:
calculating a spatial stress component according to the following formula:
[σij]=A-1·[σl];
wherein [ sigma ]ij]-a matrix of columns of spatial stress components;
[σl]-detecting the resulting positive stress column matrix;
a-is a stress component coefficient matrix, and each group of sigma obtained by detection is constant reversiblelAll have one-to-one correspondence sigmaij;
Secondly, calculating the spatial principal stress sigma according to the stress tensor eigenequation1、σ2、σ3:
σ3-J1σ2-J2σ-J3=0;
In the formula, J1=σx+σy+σz;
J3=det(σij);
And 3.3, automatically drawing a coulomb-molar stress circle and an intensity line according to the calculated main stress and the input physical parameters of the cohesive force C and the internal friction angle phi of the rock-soil body, judging whether the rock-soil body is in a plastic area according to the related positions of the stress circle and the intensity line, if so, switching on a red signal lamp circuit, and otherwise, switching on a green signal lamp circuit.
The spatial structure of the tetrakaidecahedron base 4 determines that the main stress monitoring precision of the wireless three-dimensional soil pressure cell 1 is higher than that of a conventional soil pressure cell. Assuming that the error of the conventional one-dimensional soil pressure cell is 1.0 delta, the main stress monitoring error of the wireless three-dimensional soil pressure cell 1 is 1.0 delta, and the shear stress monitoring error is 0, the average monitoring error is 0.5 delta.
The embodiment utilizes the functions of wireless signal transmission and wireless positioning of the three-dimensional soil pressure cell, remotely, timely and accurately monitors the internal space stress change state of the rock-soil body, utilizes the functions of three-dimensional visual modeling and automatic storage, calculation, analysis and warning of post-processing programs on monitoring data, forms a set of complete wireless rock-soil body internal space stress visual monitoring system, and greatly improves the intelligence of the rock-soil body monitoring process.
Example 2
The embodiment provides a wireless intelligent monitoring method for the stress state of an internal space of a rock-soil body, which takes a slope model as an example and comprises the following steps:
step 1: as shown in fig. 5, the side slope model has the structural dimensions of a bottom surface a x, a top surface c x b and a height d, five wireless three-dimensional soil pressure boxes are embedded in the side slope model and are numbered as numbers 1-5 in sequence;
step 2: three-dimensional visualizationThe modeling module 11 inputs the model structure dimensions a, b, c and d and the center coordinates (x) of the bottom surface of the model0,y0,z0) Inputting cohesive force C of slope model filler into the interface of the soil pressure post-processing module 121~C6Internal angle of friction phi1~φ6;
And step 3: after the five wireless three-dimensional soil pressure boxes detect the soil pressure data and the positioning coordinate data, the soil pressure data and the positioning coordinate data are processed by the central microprocessor 7 and sent out by the signal sending module 8; the soil pressure data and the positioning coordinate data are as follows:
and 4, step 4: the wireless data acquisition system 2 receives the electric signal sent by the wireless three-dimensional soil pressure cell 1, converts the electric signal into a data signal and transmits the data signal to the stress monitoring system 3; the stress monitoring system 3 separates soil pressure data from positioning coordinate data; the three-dimensional visual modeling module 11 selects a centerline point on the bottom surface of the model as a coordinate origin to establish a relative coordinate system, and calculates the relative coordinates of each monitoring point; stress post-treatment procedure according to the formula [ sigma ]ij]=A-1·[σl]And formula σ3-J1σ2-J2σ-J3Calculating the main stress of each monitoring point as 0; the relative coordinates and principal stresses of the monitoring points are as follows:
and 5: the three-dimensional visual modeling module 11 constructs the dimensions a, b, c, d and phase according to the slope modelTo coordinate (x'i,y′i,z′i) Establishing a three-dimensional visual model; the stress post-processing module 12 calculates the result sigma according to the principal stressijWith a physical parameter Ci、φiDrawing a stress Mohr circle and an intensity line, analyzing the elastic-plastic state of the rock-soil body at the monitoring point according to the relative relation of linear positions, and switching on a corresponding red-green indicating circuit; the monitoring results are shown in detail in FIG. 5.
The present invention and its embodiments have been described above schematically, without limitation, and what is shown in the drawings is only one of the embodiments of the present invention, and the actual structure is not limited thereto. Therefore, if the person skilled in the art receives the teaching, without departing from the spirit of the invention, the person skilled in the art shall not inventively design the similar structural modes and embodiments to the technical solution, but shall fall within the scope of the invention.
Claims (7)
1. A be used for wireless intelligent monitoring system of ground body inner space stress state, its characterized in that: the soil pressure monitoring system comprises a wireless three-dimensional soil pressure box (1), a wireless data acquisition system (2) and a stress monitoring system (3);
the wireless three-dimensional soil pressure cell (1) is used for converting the detected soil pressure data signals and the positioning coordinate data signals into electric signals to be transmitted in a radio wave form;
the wireless data acquisition system (2) is used for receiving the soil pressure and positioning electric signals and then converting the signals into data signals to be transmitted to the stress monitoring system (3);
the stress monitoring system (3) is used for separating the positioning coordinates and the soil pressure signals, establishing a relative coordinate system by utilizing the known reference point positioning coordinates and the monitoring point positioning coordinates, establishing a three-dimensional visual model, calculating the main stress of the monitoring point by utilizing a post-processing program, quantitatively analyzing the elastic-plastic stress state of the rock and soil body and making corresponding prompts.
2. The wireless intelligent monitoring system for the stress state of the inner space of the rock-soil body according to claim 1, characterized in that: the wireless three-dimensional soil pressure cell (1) comprises a fourteen-surface body base (4), a wireless pressure sensor (5), a wireless positioning module (6), a central microprocessor (7) and a signal sending module (8);
the wireless pressure sensor (5) is used for detecting a soil pressure signal;
the wireless positioning module (6) is used for positioning a three-dimensional space coordinate at the center of the soil pressure cell;
the central microprocessor (7) is used for receiving the pressure signal and the coordinate signal, converting the received signals into electric signals and expanding the electric signals;
the signal sending module (8) is used for transmitting the amplified electric signal in a radio wave mode.
3. The wireless intelligent monitoring system for the stress state of the inner space of the rock-soil body according to claim 2, characterized in that: the fourteen-face body base (4) is composed of a base with the length of 2L and the width of 2LGao WeiThe fourteen-surface body base (4) is formed by cutting along the middle points of width and height and trisection points of length, and the total number of the sections of 7 pairs of different directions.
4. The system for wirelessly and intelligently monitoring the stress state of the inner space of the rock-soil body according to claim 3, is characterized in that: the wireless pressure sensor (5) is arranged on the cross section of the fourteen-surface-body base (4), and the wireless positioning module (6), the central microprocessor (7) and the signal sending module (8) are all embedded inside the fourteen-surface-body base (4).
5. The wireless intelligent monitoring system for the stress state of the inner space of the rock-soil body according to claim 1, characterized in that: the wireless data acquisition system (2) comprises a wireless signal receiver (9) and an analog-to-digital conversion module (10), wherein the wireless signal receiver (9) converts received soil pressure and three-dimensional space coordinate electric signals into digital signals through the analog-to-digital conversion module (10), and transmits the digital signals to the stress monitoring system (3).
6. The wireless intelligent monitoring system for the stress state of the inner space of the rock-soil body according to claim 1, characterized in that: the stress monitoring system (3) comprises a three-dimensional visual modeling module (11) and a soil pressure post-processing module (12);
after receiving the coordinates of the monitoring points, the three-dimensional visual modeling module (11) calculates relative positions according to the coordinates of the reference points by a space analytic geometry principle and establishes a relative coordinate system, and then establishes a three-dimensional visual model by combining the input structural size of the monitored rock and soil mass;
the soil pressure post-processing module (12) automatically calculates the principal stress according to the received soil pressure information, automatically draws a coulomb-molar stress circle and an intensity line by combining the input physical parameters of the rock and soil mass, intelligently analyzes whether the rock and soil mass is in a plastic zone state and makes corresponding prompts.
7. The wireless intelligent monitoring method for the stress state of the internal space of the rock-soil body is characterized by comprising the following steps of: the wireless intelligent monitoring system for the internal space stress state of the rock-soil body is adopted according to any one of claims 1 to 6, and comprises the following steps:
firstly, a wireless three-dimensional soil pressure box (1) detects soil pressure signals and positioning coordinate signals, converts the soil pressure signals and the positioning coordinate signals into electric signals, and transmits the electric signals to a wireless data acquisition system (2) in a radio wave form;
secondly, the wireless data acquisition system (2) converts the received signals into data signals and transmits the data signals to the stress monitoring system (3);
thirdly, after the stress monitoring system (3) receives the signals, the following steps are carried out:
3.1, inputting the construction size and the datum point positioning coordinate of the detected rock-soil body, calculating the relative position of the monitoring point and the datum point by using the monitoring point positioning coordinate, selecting a characteristic datum point as a coordinate origin, establishing a relative coordinate system, and establishing a three-dimensional visual model according to the relative coordinate and the construction size;
3.2, automatically calculating the space principal stress according to the pressure data, wherein the calculation method comprises the following steps:
calculating a spatial stress component according to the following formula:
[σij]=A-1·[σl];
in the formula (I), the compound is shown in the specification,-a matrix of columns of spatial stress components;
[σl]-detecting the resulting positive stress column matrix;
a-is a stress component coefficient matrix, and each group of sigma obtained by detection is constant reversiblelAll have one-to-one correspondence sigmaij;
Secondly, calculating the spatial principal stress sigma according to the stress tensor eigenequation1、σ2、σ3:
σ3-J1σ2-J2σ-J3=0;
In the formula, J1=σx+σy+σz;
J3=det(σij);
And 3.3, automatically drawing a coulomb-molar stress circle and an intensity line according to the calculated main stress and the input physical parameters of the cohesive force C and the internal friction angle phi of the rock-soil body, judging whether the rock-soil body is in a plastic area according to the related positions of the stress circle and the intensity line, if so, switching on a red signal lamp circuit, and otherwise, switching on a green signal lamp circuit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011199426.6A CN112629714A (en) | 2020-11-01 | 2020-11-01 | Wireless intelligent monitoring system and method for stress state of inner space of rock-soil body |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011199426.6A CN112629714A (en) | 2020-11-01 | 2020-11-01 | Wireless intelligent monitoring system and method for stress state of inner space of rock-soil body |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112629714A true CN112629714A (en) | 2021-04-09 |
Family
ID=75303214
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011199426.6A Pending CN112629714A (en) | 2020-11-01 | 2020-11-01 | Wireless intelligent monitoring system and method for stress state of inner space of rock-soil body |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112629714A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113570826A (en) * | 2021-07-15 | 2021-10-29 | 长视科技股份有限公司 | Method and system for realizing disaster early warning by river landslide deformation recognition |
CN114459537A (en) * | 2022-01-14 | 2022-05-10 | 中国科学院武汉岩土力学研究所 | Monitoring system and monitoring method for geotechnical structure of landfill |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN203386340U (en) * | 2013-05-31 | 2014-01-08 | 浙江大学 | Wireless real-time monitoring system for strain beam type dynamic soil pressure |
US20160274001A1 (en) * | 2008-12-04 | 2016-09-22 | Sophie Lin, Trustee Of The John Michael Payne Family Trust | Methods for measuring and modeling the process of prestressing concrete during tensioning/detensioning based on electronic distance measurements |
CN107893437A (en) * | 2017-11-28 | 2018-04-10 | 中交第二航务工程局有限公司 | Large-scale well-sinking foundation construction real-time monitoring system based on long range radio transmissions technology |
CN108877156A (en) * | 2018-09-06 | 2018-11-23 | 东北大学 | A kind of slope instability early warning system and method |
CN109443604A (en) * | 2018-12-20 | 2019-03-08 | 大连理工大学 | A kind of three-dimensional soil pressure cell with incline measurement and accurate positioning function |
CN109990941A (en) * | 2019-03-27 | 2019-07-09 | 董彤 | A kind of vector quantization triaxiality measurement ball |
CN110132463A (en) * | 2018-02-09 | 2019-08-16 | 武汉理工大学 | A kind of wireless signal transmission ball-type soil pressure sensor |
CN211042555U (en) * | 2019-12-04 | 2020-07-17 | 天津城建大学 | Wireless three-dimensional soil pressure cell |
-
2020
- 2020-11-01 CN CN202011199426.6A patent/CN112629714A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160274001A1 (en) * | 2008-12-04 | 2016-09-22 | Sophie Lin, Trustee Of The John Michael Payne Family Trust | Methods for measuring and modeling the process of prestressing concrete during tensioning/detensioning based on electronic distance measurements |
CN203386340U (en) * | 2013-05-31 | 2014-01-08 | 浙江大学 | Wireless real-time monitoring system for strain beam type dynamic soil pressure |
CN107893437A (en) * | 2017-11-28 | 2018-04-10 | 中交第二航务工程局有限公司 | Large-scale well-sinking foundation construction real-time monitoring system based on long range radio transmissions technology |
CN110132463A (en) * | 2018-02-09 | 2019-08-16 | 武汉理工大学 | A kind of wireless signal transmission ball-type soil pressure sensor |
CN108877156A (en) * | 2018-09-06 | 2018-11-23 | 东北大学 | A kind of slope instability early warning system and method |
CN109443604A (en) * | 2018-12-20 | 2019-03-08 | 大连理工大学 | A kind of three-dimensional soil pressure cell with incline measurement and accurate positioning function |
CN109990941A (en) * | 2019-03-27 | 2019-07-09 | 董彤 | A kind of vector quantization triaxiality measurement ball |
CN211042555U (en) * | 2019-12-04 | 2020-07-17 | 天津城建大学 | Wireless three-dimensional soil pressure cell |
Non-Patent Citations (1)
Title |
---|
杨长卫等: "地震作用下有砟轨道路基动力响应规律振动台试验", 《岩土力学》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113570826A (en) * | 2021-07-15 | 2021-10-29 | 长视科技股份有限公司 | Method and system for realizing disaster early warning by river landslide deformation recognition |
WO2023284344A1 (en) * | 2021-07-15 | 2023-01-19 | 长视科技股份有限公司 | Method and system for realizing disaster early warning by means of deformation identification of river channel landslide |
CN114459537A (en) * | 2022-01-14 | 2022-05-10 | 中国科学院武汉岩土力学研究所 | Monitoring system and monitoring method for geotechnical structure of landfill |
CN114459537B (en) * | 2022-01-14 | 2023-03-10 | 中国科学院武汉岩土力学研究所 | Monitoring method for geotechnical structure of landfill |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112629714A (en) | Wireless intelligent monitoring system and method for stress state of inner space of rock-soil body | |
CN101957175B (en) | Three-point micro-plane-based normal detection method | |
CN101825522B (en) | Self-diagnosis system for wind-induced cumulative fatigue damage of pull lug node substructure of mast structure | |
CN102509087B (en) | Coal-rock identification method based on image gray level co-occurrence matrixes | |
CN104167084A (en) | Engineering-risk wireless-sensing early-warning visualization system and method | |
CN103235349B (en) | Three-dimensional measuring method and measuring system for underground deformation | |
CN107825430A (en) | A kind of robot foot section structure and pressure detection method based on air pressure detection | |
CN109163696A (en) | The prediction on a kind of side, Landslide Deformation failure mode differentiates new method and new equipment | |
CN106841399B (en) | Preparation method of flat-bottom hole contrast test block for bar ultrasonic automatic detection | |
CN105678954A (en) | Live-line work safety early warning method and apparatus | |
CN205015487U (en) | Side slope rock mass monitoring system | |
CN107063540B (en) | Anchor rod rope intelligent early warning stress meter and testing method thereof | |
CN109883480B (en) | Method and system for advanced prediction of collapse of soil body in aeration zone | |
CN206065700U (en) | A kind of resistance spot welding quality monitoring device based on voltage | |
CN109242023A (en) | A kind of anchor chain flash welding quality online evaluation method based on DTW and MDS | |
CN111637990B (en) | Method for detecting stress of key position of cutter head system of large-diameter shield tunneling machine | |
CN204228136U (en) | A kind of fully-mechanized mining working support multidigit state and descending amount of piston Analytical system | |
CN104502061B (en) | One kind is shoved on-line detecting system | |
CN104652396B (en) | A kind of three-component roadbed solution cavity detection sensor and detecting system | |
CN112989984A (en) | Coal rock interface identification method | |
CN207314313U (en) | A kind of transmission line tower foundation collapse monitoring device | |
CN110763297A (en) | Intelligent water gauge water level identification system based on video | |
CN104330011A (en) | Cap opening measuring gauge | |
CN106658542B (en) | Communication tower stability detection method and system based on stress model | |
CN205276481U (en) | But dynamometry steel bearing |
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: 20210409 |