CN109459094B - Grating displacement testing system and method based on ten-axis sensor - Google Patents
Grating displacement testing system and method based on ten-axis sensor Download PDFInfo
- Publication number
- CN109459094B CN109459094B CN201811644577.0A CN201811644577A CN109459094B CN 109459094 B CN109459094 B CN 109459094B CN 201811644577 A CN201811644577 A CN 201811644577A CN 109459094 B CN109459094 B CN 109459094B
- Authority
- CN
- China
- Prior art keywords
- axis sensor
- geogrid
- monitoring
- sensor chip
- data
- 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.)
- Active
Links
- 238000006073 displacement reaction Methods 0.000 title claims abstract description 75
- 238000012360 testing method Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims abstract description 109
- 230000006378 damage Effects 0.000 claims abstract description 40
- 230000008859 change Effects 0.000 claims abstract description 33
- 238000004458 analytical method Methods 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000012937 correction Methods 0.000 claims abstract description 10
- 239000000284 extract Substances 0.000 claims abstract description 7
- 239000010410 layer Substances 0.000 claims description 16
- 230000001681 protective effect Effects 0.000 claims description 15
- 230000001133 acceleration Effects 0.000 claims description 11
- 238000010276 construction Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 8
- 239000000853 adhesive Substances 0.000 claims description 7
- 230000001070 adhesive effect Effects 0.000 claims description 7
- 239000011241 protective layer Substances 0.000 claims description 7
- 230000008569 process Effects 0.000 claims description 5
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 4
- 230000035945 sensitivity Effects 0.000 claims description 4
- YTCQFLFGFXZUSN-BAQGIRSFSA-N microline Chemical compound OC12OC3(C)COC2(O)C(C(/Cl)=C/C)=CC(=O)C21C3C2 YTCQFLFGFXZUSN-BAQGIRSFSA-N 0.000 claims description 3
- 238000007726 management method Methods 0.000 description 22
- 230000035882 stress Effects 0.000 description 9
- 238000002474 experimental method Methods 0.000 description 7
- 238000011160 research Methods 0.000 description 7
- 238000011161 development Methods 0.000 description 5
- 230000018109 developmental process Effects 0.000 description 5
- 230000033001 locomotion Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 238000003466 welding Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000007797 corrosion Effects 0.000 description 3
- 238000005260 corrosion Methods 0.000 description 3
- 238000013480 data collection Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000002265 prevention Effects 0.000 description 3
- 230000002787 reinforcement Effects 0.000 description 3
- 230000032683 aging Effects 0.000 description 2
- 239000010426 asphalt Substances 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000005336 cracking Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000004873 anchoring Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The disclosure provides a grating displacement testing system and method based on a ten-axis sensor, comprising the following steps: the ten-axis sensor chip is embedded in the geogrid; the ten-axis sensor chip collects various data information of the monitoring point and uploads the data information to the management monitoring cloud platform; the management monitoring cloud platform obtains the change of the deformation and displacement of the geogrid of the monitoring point through comprehensive analysis according to the collected data information, performs error correction processing on the data information, reduces the data error rate and improves the data integrity rate; the management monitoring cloud platform synchronously updates data information acquired by the ten-axis sensor chip and an analysis result to the monitoring database server; the remote monitoring center extracts data in the monitoring database server, obtains the width of cracks generated by the whole structure of the geogrid and the extending trend thereof after further processing, monitors the damage trend of the whole geogrid in real time, and finally realizes automatic monitoring and geological disaster early warning of the whole state of the geogrid.
Description
Technical Field
The disclosure relates to the technical field of civil engineering monitoring, in particular to a grating displacement testing system and method based on a ten-axis sensor.
Background
In recent years, geological disasters frequently occur, and the life and safety of people are greatly influenced, so that engineering facilities are damaged, and huge economic losses are brought, and therefore, proper geological disaster prevention measures are adopted to minimize the losses brought by the geological disasters as much as possible. In the current engineering, the regions which are possibly damaged are subjected to the strengthening treatment according to construction experience and engineering practice, and as various factors such as topography, geology, environment and the like are different, unified judging standards are lacking, the determined regions which are possibly damaged are greatly influenced by subjective factors, judging deviation is possibly caused, time and labor are consumed, and large accidents exist. Therefore, it is necessary to build a system for discriminating and predicting the breakable area according to the actual condition of the project.
In the current stage of civil engineering, geogrid is mostly adopted as a protective net to stabilize the side slope. The geogrid has the characteristics of stable strength, small deformation, corrosion resistance, wear resistance, aging resistance, long service life, low cost, stronger bearing capacity and the like, is widely applied to engineering, and is suitable for reinforcing asphalt and cement pavements, retaining walls, embankment dams, river seawalls and other engineering.
At present, researches on geological disaster prediction methods are concentrated on experiments and numerical simulation, in the experiments, the damage condition and development trend of the structure are judged by observing the displacement or deformation of the structure, the damage to the interior area is difficult to observe due to fine damage, the damage to naked eyes are difficult to observe, the influence of subjective factors is judged to be large, the human error is large, and the numerical simulation is not representative due to lack of experimental comparison. Therefore, the existing geological disaster prediction method has the defects that the reliability of a prediction result is poor and a unified theory cannot be formed due to the fact that the assumption condition and the actual difference are large. Therefore, the geological disaster prediction method is still to be further studied.
In the existing engineering, a method for binding the geogrid and the strain sensing fiber grating is adopted to measure the deformation and stress conditions of the geogrid, but the binding mode is easy to loosen, the strain cannot be accurately captured and transmitted once the geogrid is loosened, so that the acquired data has larger errors, meanwhile, the method is limited by the materials of the geogrid, only large deformation can be measured, and small strain cannot be accurately captured, so that the tiny cracks in the structural body cannot be monitored, and the aim of timely taking corresponding measures at the initial stage of a disaster cannot be fulfilled.
In summary, the problems of visual testing and prediction of structural damage in the geological disaster are solved, and the geological disaster is warned by a monitoring management warning system which is not integrated after the structural damage of the geological disaster.
Disclosure of Invention
In order to solve the defects of the prior art, the application provides a grid displacement testing system and method based on a ten-axis sensor, the ten-axis sensor is combined with a geogrid, the chip part of the ten-axis sensor is embedded into the geogrid, data such as acceleration, angle, angular velocity, magnetic field and the like of geogrid monitoring points can be collected in real time, the obtained data are transmitted to a server or cloud for storage, the deformation and displacement of the geogrid monitoring points can be obtained through later data processing and analysis, dynamic monitoring of structural damage conditions is realized, and accordingly, the development trend of structural damage is predicted according to the existing data, so that corresponding protective measures are adopted in advance.
Grid displacement test system based on ten axle sensors includes: ten-axis sensor chips, geogrids, a management monitoring cloud platform, a monitoring database server, a remote monitoring center and a mobile user side;
The ten-axis sensor chip is embedded in the geogrid;
the ten-axis sensor chip collects data information of acceleration, angle, angular velocity, magnetic field, altitude, air pressure and geographic coordinates of the monitoring points, and uploads the data information to the management monitoring cloud platform;
the management monitoring cloud platform obtains the change of the deformation and displacement of the geogrid of the monitoring point through comprehensive analysis according to the data information acquired by the ten-axis sensor chip, and performs error correction processing on the data information, so that the data error rate is reduced, and the data integrity rate is improved;
the management monitoring cloud platform synchronously updates data information acquired by the ten-axis sensor chip and an analysis result to the monitoring database server;
the remote monitoring center extracts data in the monitoring database server, obtains the width of cracks generated by the integral structure of the geogrid and the extending trend thereof after further processing, monitors the integral damage trend of the geogrid in real time so as to take corresponding protective measures in advance, and finally realizes automatic monitoring of the integral state of the geogrid and early warning of geological disasters;
and the remote monitoring center and the mobile user terminal perform data transmission through a wireless network.
Further, the geogrid comprises an upper rib and a lower rib;
One connecting side of the upper rib or the lower rib is provided with a groove;
an insulating protective layer is arranged outside the ten-axis sensor chip, the ten-axis sensor chip is tightly connected with the insulating protective layer through an adhesive, and the ten-axis sensor is embedded into the groove through the adhesive;
the upper rib and the lower rib are welded in a seamless way through ultrasonic waves.
Further, the geogrid comprises two kinds of common geogrids and geogrids embedded with ten sensor chips;
paving two geogrids in a cross combination mode, paving a common geogrid for a relatively safe area, and paving a geogrid embedded with ten sensor chips for an area needing to be monitored in an important way;
the common geogrid and the geogrid embedded with the ten-axis sensor chip can be connected in an assembling mode.
Further, the displacement change of the geogrid embedded with the ten-axis sensor chip, which occurs in the period of time, is obtained through analyzing the displacement change of the ten-axis sensor chip acquired at the front and rear different moments, and then the three-dimensional deformation of the geogrid layer is further obtained through analysis;
if the displacement of the ten-axis sensor chip is always zero or the azimuth of the ten-axis sensor chip is not changed all the time, the geogrid embedded with the ten-axis sensor chip is not deformed or changed in displacement;
If the displacement of the ten-axis sensor chip changes or the azimuth of the ten-axis sensor chip changes, the situation that the embedded ten-axis sensor chip deforms or changes in displacement is indicated, the data of the position of the ten-axis sensor chip should be observed in time, the deformation condition of the geogrid of the position of the ten-axis sensor chip is analyzed, and corresponding protective measures are convenient to take timely.
Further, the displacement of the ten-axis sensor chip acquired from the time t to the time t+delta t changes,
Δx＝x(t+Δt)-x(t)
wherein Δx is a displacement, which represents a displacement from a time t to a time t+Δt at any point;
assuming that the change of the line segment formed between the observation points is represented by positive strain, the change of the included angle of each line segment is represented by shear strain, and examining any micro line segment in the structure body, the positive strain, namely the relative change of the length, is the positive strain,
wherein epsilon is positive strain, i.e. the relative change in length, l is the initial length of a segment, and l' is the length of the segment after deformation;
the shear strain, i.e. the relative change of direction,
γ＝α-α′
where γ is the shear strain, which is the amount used to represent the angular change, and α' each represent the angle of any line segment within the structure before and after deformation.
Furthermore, the ten-axis sensor chips can perform data interaction through the LoRa wireless sensor network;
The ten-axis sensor chip is connected with the management monitoring cloud platform, the monitoring database server is connected with the remote monitoring center, and the remote monitoring center is connected with the mobile user through a GPRS or wireless 3G/4G network or a Beidou communication mode.
Further, the remote monitoring center can automatically monitor each dimension parameter of the geogrid for 24 hours, further analyze and judge the data, and adopt an automatic alarm mode of corresponding level according to different early warning levels reached by the monitoring value;
the remote monitoring center sends corresponding early warning information to the mobile user terminal according to the different early warning grades;
the mobile user can send geological monitoring related information to a remote monitoring center.
Furthermore, user authentication or CA authentication is required when login operation is performed between the remote monitoring center and the mobile user terminal;
the whole process of data processing is traceable, and uploading, modifying and deleting of each piece of data can be guaranteed to be corresponding to each remote monitoring center and mobile user side.
The using method of the grid displacement testing system based on the ten-axis sensor comprises the following steps:
the ten-axis sensor chip collects data information of acceleration, angle, angular velocity, magnetic field, altitude, air pressure and geographic coordinates of the monitoring points, and uploads the data information to the management monitoring cloud platform;
The management monitoring cloud platform obtains the change of the deformation and displacement of the geogrid of the monitoring point through comprehensive analysis according to the data information acquired by the ten-axis sensor chip, and performs error correction processing on the data information, so that the data error rate is reduced, and the data integrity rate is improved;
the management monitoring cloud platform synchronously updates data information acquired by the ten-axis sensor chip and an analysis result to the monitoring database server;
the remote monitoring center extracts data in the monitoring database server, obtains the width of cracks generated by the integral structure of the geogrid and the extending trend thereof after further processing, monitors the integral damage trend of the geogrid in real time so as to take corresponding protective measures in advance, and finally realizes automatic monitoring of the integral state of the geogrid and early warning of geological disasters;
when geological disasters occur, the remote monitoring center sends corresponding early warning information to the mobile user side according to different disaster early warning grades.
Further, the method also comprises the following steps:
when in construction, after the geogrid embedded with ten-axis sensor chips in each layer is laid, debugging is carried out immediately, and whether error exists in data is observed to be larger, so that sensitivity debugging is carried out on the ten-axis sensor chips in the geogrid in time;
After the geogrid is completely paved, initializing and setting;
in the grid displacement testing system based on the ten-axis sensor, the geogrid embedded with the ten-axis sensor chip is widely paved in the initial application stage, and the deformation condition of the complete structural body of the geological disaster is comprehensively monitored by adopting a comprehensive monitoring mode;
after the monitoring and early-warning database is established by utilizing the collected and processed information, the deformation condition of the easily deformed part is monitored in a fixed-point monitoring mode through analysis and judgment of the monitoring and early-warning database.
Compared with the prior art, the beneficial effects of the present disclosure are:
1. the method is characterized in that ten sensor chips are embedded in the prior geogrid, the structure is protected, the stress condition of the structure is monitored in real time, and the displacement and deformation of the structure are analyzed, so that the damage and the development trend of the structure caused by geological disasters are effectively monitored, and corresponding measures are taken in time.
2. The grid displacement test system based on the ten-axis sensor can well reflect damage conditions of the surface and the inside of the structure in real time, can accurately capture fine cracks, is more accurate in obtained data, enhances visualization and controllability of damage, and is beneficial to taking effective protective measures in advance.
3. The data obtained by embedding the ten-axis sensor into the geogrid is accurate, the reliability is high, the damage condition of the inside of the geological structure can be accurately reflected, the analysis and research on the process of the geological structure damage are facilitated, the data can be used as the assistance and contrast of related scientific research, a large amount of field experiment time is saved, and the basis is provided for the research of the geological damage influence.
4. The mode of embedding the chip into the geogrid is adopted, the geogrid is high in strength, high in corresponding bearing capacity, good in corrosion resistance and ageing resistance, high in friction resistance system, uniform in grid step by step, convenient in construction technology, relatively long in service cycle, small in influence of the chip into the geogrid on the functional characteristics of the geogrid, capable of being used in quantitative production, simple in assembly line operation, convenient to construct, free of secondary operation and good in one-time installation.
5. The ten-axis sensor adopted by the method has the advantages of ultra-small volume, high precision, high reliability, low cost and the like, is very suitable for embedding a chip thereof into a geogrid so as to measure the displacement or deformation of a corresponding structure, so that the damage condition of the structure is obtained, the motion gesture can be monitored in real time, the azimuth, the height and the temperature are obtained, the 3-axis acceleration, the 3-axis gyroscope and the 3-axis magnetometer are built in a digital motion processing engine, the complex fusion can be reduced, the lower power consumption is possessed, the method is more suitable for wearable equipment, the temperature sensor is built in the barometric altimeter, the temperature compensation can be carried out, and the method has stronger performance and lower power consumption. The ten-axis sensor is used as an integrated sensor module, so that the circuit board and the whole space are reduced. The data accuracy of the integrated sensor relates to correction after welding assembly and matching algorithms for different uses besides the accuracy of the equipment itself. The appropriate algorithm can fuse the data from multiple sensors, make up for the lack of a single sensor in accounting for accurate azimuth and direction, and then complete high-precision motion detection.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate and explain the exemplary embodiments of the disclosure and together with the description serve to explain the disclosure, and do not constitute an undue limitation on the disclosure.
FIG. 1 is a side cross-sectional view of a geogrid incorporating a ten-axis sensor of the present disclosure;
FIG. 2 is a schematic diagram of the front structure of a geogrid incorporating a ten-axis sensor of the present disclosure;
FIG. 3 is a schematic view of the overall structure of the geogrid with ten-axis sensors embedded therein of the present disclosure;
FIG. 4 is an exploded schematic view of the geogrid of the present disclosure with ten-axis sensors embedded;
wherein 1 is geogrid, 2 is ten-axis sensor chip, 3 is upper rib, and 4 is lower rib.
Detailed Description
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
As introduced by the background art, the prior art has the defects of visual test and prediction of structural damage in geological disasters, and in order to solve the technical problems, the disclosure provides a grid displacement test system and method based on a ten-axis sensor.
In order to enable those skilled in the art to more clearly understand the technical solutions of the present disclosure, the technical solutions of the present disclosure will be described in detail below with reference to specific examples and comparative examples.
Example 1
Grid displacement test system based on ten axle sensors includes: ten-axis sensor chip, geogrid, management monitoring cloud platform, monitoring database server, remote monitoring center and mobile user side.
The ten-axis sensor chip is embedded in the geogrid; as shown in fig. 1, a side cross-sectional view of a geogrid incorporating a ten-axis sensor of the present disclosure;
the ten-axis sensor chip collects data information of acceleration, angle, angular velocity, magnetic field, altitude, air pressure and geographic coordinates of the monitoring points, and uploads the data information to the management monitoring cloud platform;
the management monitoring cloud platform obtains the change of the deformation and displacement of the geogrid of the monitoring point through comprehensive analysis according to the data information acquired by the ten-axis sensor chip, and performs error correction processing on the data information, so that the data error rate is reduced, and the data integrity rate is improved;
The management monitoring cloud platform synchronously updates data information acquired by the ten-axis sensor chip and an analysis result to the monitoring database server;
the remote monitoring center extracts data in the monitoring database server, obtains the width of cracks generated by the integral structure of the geogrid and the extending trend thereof after further processing, monitors the integral damage trend of the geogrid in real time so as to take corresponding protective measures in advance, and finally realizes automatic monitoring of the integral state of the geogrid and early warning of geological disasters;
and the remote monitoring center and the mobile user terminal perform data transmission through a wireless network.
The grid displacement testing system based on the ten-axis sensor combines the ten-axis sensor with the geogrid, as shown in fig. 2, and is a schematic diagram of the front structure of the geogrid embedded with the ten-axis sensor in the disclosure; the chip part of the ten-axis sensor is embedded into the geogrid to monitor the movement condition of the geogrid in real time, data such as acceleration can be obtained to reflect the damage condition of the structure, for example, the damage condition of the structure can be reflected by the tension of a certain grid, the cracking or the cracking trend of a certain part of the structure can be reflected, effective measures are taken to control the condition, and the crack is prevented from generating or further expanding, so that measures are taken before the structure is further damaged, the economic loss caused by the damage of the structure is reduced, the safety of personnel can be ensured, and the constructors can work in a relatively safe environment. Wherein, select some representative grid cross points as the observation point in geogrid, this observation point adopts certain algorithm and considers the actual selection of present engineering example, follow "accurately select, the principle of more or less, all points with destruction trend are contained as far as possible to can extensive collection data, also can provide the basis for experiment and engineering example in future. When there is enough data collection, a database can be formed. The database can perform corresponding point selection analysis according to different engineering practice, and can also obtain the respective extremely easily damaged parts of each engineering, so that monitoring points can be arranged according to the engineering, and corresponding protective measures can be adopted.
When geological disasters occur and the structure is damaged, the geogrid deforms and generates displacement along with the deformation, the chip part at the monitoring point can sense the change of the grid, so that data such as acceleration of the monitoring point is obtained in real time, the data is remotely transmitted to a server or a cloud for storage through a network, the data is stored after being received through a data storage module, the data in a database is received back by a remote monitoring center for post-processing, the displacement of the grid can be obtained through analyzing the data obtained by the chip part of the ten-axis sensor, the width of cracks generated by the structure and the extending trend of the width are obtained, the damage trend of the structure is monitored in real time, corresponding protective measures are taken in advance, automatic monitoring and early warning of the health state of the structure are finally realized, trouble and labor are saved, and convenience and economy are realized.
As shown in fig. 4, an exploded view of the geogrid of the present disclosure with ten sensors embedded therein; the geogrid comprises an upper rib and a lower rib; one connecting side of the upper rib or the lower rib is provided with a groove; the ten-axis sensor chip is tightly connected with the insulating protective layer through an adhesive, and the ten-axis sensor is embedded into the groove through the adhesive; the upper rib and the lower rib are welded in a seamless way by ultrasonic waves. The chip part of the ten-axis sensor is embedded into the geogrid, the geogrid based on the ten-axis sensor consists of three parts, an upper rib, a lower rib and the chip part of the ten-axis sensor, wherein the embedded chip part is required to be as small as possible under the condition of ensuring stable performance so as to ensure that the embedded part cannot influence the strength characteristic of the geogrid, the chip part of the ten-axis sensor has a simple structure and small volume, can be made into the minimum size capable of meeting the performance requirement according to the requirement, is embedded into the geogrid, realizes the function of collecting data, and simultaneously, in order to avoid the influence of the corrosion of the chip by air or dust, a layer of insulating protective layer is added outside the chip, and an adhesive is used between the insulating anti-skid layer and the geogrid and between the chip and the insulating protective layer so that the bonding is tight, and the tiny change of the geogrid can be sensed through the chip. The connection between the upper rib and the lower rib can be welded by ultrasonic waves through the connecting block, so that the upper rib and the lower rib are combined more tightly, the strength and the shearing resistance of the welding part are improved, and the service life of the welding part is prolonged.
The chip part of the ten-axis sensor is embedded into the geogrid, and in order not to influence the performance of the geogrid, the chip position is selected at the center of the rib of the geogrid so as to ensure that the chip can be firmly combined with the geogrid, and the tiny strain of the geogrid can be accurately transmitted to the ten-axis sensor. The geogrid embedded with ten-axis sensor chips is applied to various projects, such as reinforcement of various dykes and roadbeds, slope protection and the like, the geogrid is generally embedded in soil, gravel and asphalt layers, stress bearing and node anchoring of the geogrid are mainly realized through each node or rib of the geogrid, the geogrid is influenced and acted by related media, larger stress can be obtained only through small displacement, the required stress is provided by not only friction acting force generated between the geogrid and the media, and larger acting force requirement is obtained according to interaction between the grid and the related media. Therefore, a high-efficiency stress transmission and good reaction system is formed, the super strong reinforcement effect of the geogrid from the geogrid is effectively exerted, and the length of an anchor ingot can be reduced to the minimum. The interlocking and biting functions of the self bearing surface of the plastic geogrid greatly enhance the good guarantee of the bearing capacity and lateral displacement related to the roadbed, and also effectively enhance the long-term stability of the foundation. The geogrid with the ten-axis sensor chip can not only play roles in reinforcement and protection, but also monitor stress, displacement and the like existing in the geogrid, so that the double functions of the geogrid are better realized.
The geogrid has strong protection, the chip of the ten-axis sensor is embedded on the basis of the existing geogrid, the stress condition of the geogrid can be monitored in real time while the geogrid is protected, and the displacement and deformation of the geogrid are analyzed, so that the damage and the development trend of the geogrid to the structure caused by geological disasters are effectively monitored, and corresponding measures can be taken in time.
The mode of embedding the chip into the geogrid is adopted, the influence on the functional characteristics of the geogrid is small, meanwhile, quantitative production can be carried out, assembly line operation is simple to operate, construction is convenient, secondary operation is not needed, and the geogrid can be used after being installed once.
In the initial practical stage of the system, the distribution density of ten sensors can be increased, data of different parts of a structural body can be acquired as much as possible, a database of a displacement testing system based on the ten sensors is formed, the most damaged position points in each structural body are observed through processing and analyzing the data, after the position point data are enough and form a certain rule, the geogrid embedded with ten sensor chips can be installed at the easily damaged position points based on the existing database according to engineering practice, the common geogrid is adopted at other positions with higher safety, and the two grids are combined, so that the accuracy and the integrity of the acquired data can be ensured, and the aim of economy and reliability can be achieved. The arrangement of the chips in the geogrid adopts a quincuncial pile arrangement mode, and every row of the pile positions are arranged in a staggered manner, so that the grid spacing with the chips is increased. Considering economic factors and accuracy of data acquired by the sensors, the space between chips is increased as much as possible on the basis that the acquired data meets the requirements, and resources are saved. When laying the grids, the specific grid network arrangement mode should be determined according to the characteristics of the structural body.
As shown in fig. 3, a schematic view of the overall structure of the geogrid with ten sensors embedded therein according to the present disclosure; the system can adopt a comprehensive monitoring mode at the initial application stage, so that the deformation condition of the geological disaster body can be comprehensively monitored, and the monitored object is the whole structure body. After the database is established, the deformation conditions of potential deformation positions such as deformation joints, stress concentration areas and the like can be monitored in a fixed-point monitoring mode, and the monitoring objects are the potential deformation positions such as deformation, cracks and the like. After each layer of grating is paved during construction, system debugging is performed, and whether the error of data is large is observed, so that sensitivity debugging of a sensor in the grating is performed in time. And after the grids are completely paved, carrying out initialization setting.
The geogrid comprises two kinds of common geogrids and geogrids embedded with ten sensor chips; paving two geogrids in a cross combination mode, paving a common geogrid for a relatively safe area, and paving a geogrid embedded with ten sensor chips for an area needing to be monitored in an important way; the common geogrid and the geogrid embedded with ten sensor chips can be connected in an assembling mode. As the two gratings can be produced in batches, the manufacturing process is simple, the connection between the two gratings can be carried out in an assembling mode, the construction is simple and convenient, and the labor and financial time is greatly saved.
Obtaining the displacement change of the geogrid embedded with the ten-axis sensor chip in the period of time through analyzing the displacement change of the ten-axis sensor chip acquired at the front and rear different moments, and further obtaining the three-dimensional deformation of the geogrid layer through analysis;
if the displacement of the ten-axis sensor chip is always zero or the azimuth of the ten-axis sensor chip is not changed all the time, the geogrid embedded with the ten-axis sensor chip is not deformed or changed in displacement;
if the displacement of the ten-axis sensor chip changes or the azimuth of the ten-axis sensor chip changes, the situation that the embedded ten-axis sensor chip deforms or changes in displacement is indicated, the data of the position of the ten-axis sensor chip should be observed in time, the deformation condition of the geogrid of the position of the ten-axis sensor chip is analyzed, and corresponding protective measures are convenient to take timely.
The damage visibility of the geological disaster to the structure at present is very low, especially the damage inside the structure can not be observed, and fine damage such as tiny cracks can not be observed easily by naked eyes, and when the damage of the structure is visible by naked eyes, the damage of the geological disaster to the structure can not be compensated. The grid displacement test system based on the ten-axis sensor can well reflect the damage conditions of the surface and the inside of the structure in real time, can accurately capture fine cracks, is more accurate in obtained data, enhances the visualization and controllability of damage, and is beneficial to taking effective protective measures in advance.
At present, the damage to the structure caused by geological disasters can be only carried out through naked eyes in an experimental stage or a numerical simulation stage lacking a reliable experiment, but the experiment and simulation of contrast are lacking, and the reliability of the structure is to be explored. The damage condition inside the structure can be accurately reflected through the geogrid, the obtained data is accurate, the reliability is high, a large amount of reliable and accurate data can be obtained at one time, analysis and research on the structure damage process are facilitated, the geogrid can be used as assistance and contrast of related scientific research, a large amount of field experiment time is saved, and a basis is provided for the research on geological damage influence.
The displacement of the ten-axis sensor chip acquired from the time t to the time t+deltat changes,
Δx＝x(t+Δt)-x(t)
wherein Δx is a displacement, which represents a displacement from a time t to a time t+Δt at any point;
assuming that the change of the line segment formed between the observation points is represented by positive strain, the change of the included angle of each line segment is represented by shear strain, and examining any micro line segment in the structure body, the positive strain, namely the relative change of the length, is the positive strain,
wherein epsilon is positive strain, i.e. the relative change in length, l is the initial length of a segment, and l' is the length of the segment after deformation;
The shear strain, i.e. the relative change of direction,
γ＝α-α′
where γ is the shear strain, which is the amount used to represent the angular change, and α' each represent the angle of any line segment within the structure before and after deformation.
The ten-axis sensor chips can perform data interaction through the LoRa wireless sensor network;
the ten-axis sensor chip is connected with the management monitoring cloud platform, the monitoring database server is connected with the remote monitoring center, and the remote monitoring center and the mobile user can be connected in a GPRS (general packet radio service) or wireless 3G/4G network or Beidou communication mode respectively.
The ten-axis sensor is formed by 3 triaxial gyroscopes and 1 pressure sensor, can provide accurate data for measuring altitude and air pressure, comprises components such as an acceleration sensor, a gyroscope, an electronic compass, a GPS receiver and the like, and relates to correction after welding assembly and matching algorithms for different applications besides precision of the components. Through the fusion of various data, the azimuth can be well corrected, thereby realizing high-precision motion detection.
According to the grid displacement testing system based on the ten-axis sensor, elements such as azimuth, height and temperature are monitored in real time through a chip part of the ten-axis sensor embedded in the geogrid, data are transmitted to the management and monitoring and early warning cloud platform in a GPRS (general packet radio service) communication mode, real-time information service is provided for disaster prevention and reduction, and life and property safety of people in areas with multiple geological disasters is effectively guaranteed. The system consists of a field acquisition layer, a wireless transmission communication layer and an early warning release center 3. The integrated monitoring station equipment adopted by the acquisition layer is the basis of the whole system architecture and is used for acquiring real-time data of each measuring point; the transmission layer is used for uploading monitoring data and equipment state information of each measuring point and issuing an instruction of a user terminal by communication equipment on the basis of establishing connection with a monitoring center and a monitoring data collection platform of a user; the application layer receives the data collected by the monitoring station equipment in each place through the monitoring center and the monitoring and data collection platform, and sends the data to the user who obtains authorized authentication through the network, so that the user can operate the on-site monitoring station equipment.
The system can rapidly collect, transmit, calculate, analyze and store the monitoring data of each monitoring point, including azimuth, altitude, temperature and the like, and performs error correction processing on the data, so that the error rate of the data is reduced, the data integrity rate is improved, and therefore, the data of each dimension of a geological disaster multi-occurrence area is monitored in real time, and basis is provided for technological decision.
The system supports communication modes such as GPRS/3G/4G/Beidou and the like, the sensor nodes, the terminal nodes and the central nodes can also communicate with each other through the LoRa wireless sensor network, various wireless communication modes are integrated, and data transmission is effectively guaranteed. And each dimension parameter of the geology is automatically monitored for 24 hours all the day, data analysis and judgment are automatically carried out, when the detection value exceeds the early warning value, automatic audible and visual alarm and short message alarm are carried out, the safety of the unattended day and night daemon area is realized, the working intensity of management personnel is greatly reduced, and the management efficiency is improved. And a scientific decision judgment mechanism is adopted to realize automatic alarm for monitoring index abnormality. The system is internally provided with an early warning mode, analyzes causes, early warns or engineering treatment designs in advance, provides comprehensive and accurate data support, makes preliminary judgment and grading early warning on whether the structural form is normal or not, timely issues early warning information and fully plays the value of the early warning system.
The remote monitoring center can automatically monitor each dimension parameter of the geogrid for 24 hours, further analyze and judge the data, and adopt an automatic alarm mode of corresponding level according to different early warning levels reached by the monitored value;
the remote monitoring center sends corresponding early warning information to the mobile user terminal according to the different early warning grades;
the mobile user can send the geological monitoring related information to the remote monitoring center.
User authentication or CA authentication is needed when login operation is carried out between the remote monitoring center and the mobile user;
the whole process of data processing is traceable, and uploading, modifying and deleting of each piece of data can be guaranteed to be corresponding to each remote monitoring center and mobile user side.
The conventional geological disaster early warning includes 5 steps of geological disaster investigation and evaluation (or investigation and evaluation), construction and operation of an observation (monitoring) system, analysis and consultation of disaster development trend, early warning information transmission, moderate preparation reaction or prevention and control countermeasures and the like, and correspondingly includes early warning functions (table 1) with various precision of a plurality of layers such as prediction (more than 1 to 10 a), prediction (1 month to 1 a), clinical report (days), alarm (hours) and the like. The prediction refers to a region with lower time precision and focus on the occurrence of disasters, and the prediction basis is survey data; the time accuracy of the predictions, the clinical reports and the alarms is high, and the system is required to continuously predict or monitor data and comprehensively analyze based on the correct regional geological environment analysis or the geological deformation mode. The grid displacement testing system based on the ten-axis sensor is designed based on corresponding specifications of geological disaster early warning.
TABLE 1 staging of early warning projects
Table 2 illustrates the pre-warning levels and color codes applied in a ten-axis sensor based grid displacement test system. According to the corresponding specifications of the geological disasters, factors such as strain rate and displacement are used as grading indexes, and different grades correspond to different thresholds. When the early warning level is the conventional level, the system can be judged to be generally harmless, and only a warning is sent to the system operation and maintenance, and the color code is green;
when the early warning level is the prediction level, the hazard is judged to be general, and only a warning is sent to system operation and maintenance and management staff, and the color code is blue; when the early warning level is the early warning level, the hazard is heavy, and a warning is sent to the public through a short message, and the color code is yellow; when the early warning level is a forecast level, the hazard is serious, preventive measures are suggested to the public through short messages, and the color code is orange; when the early warning level is the alarm level, the hazard is judged to be particularly serious, and an alarm is sent to the public through a short message and an audible and visual alarm, and the color code is red.
TABLE 2 early warning level and color code
| Level of | Meaning of | Color code | Description of the invention |
| Ⅴ | Alarm levels, potentially particularly severe hazards | Red colour | Organizing public emergency response |
| Ⅳ | Forecast level, possibly severe hazard | Orange with a color of white | Advising the public to take precautions |
| Ⅲ | Early warning level, possibly serious hazard | Yellow colour | Public awareness of the release |
| Ⅱ | Prediction stage, possibly jeopardizing general | Blue light | Science and technology and management personnel master |
| Ⅰ | Conventional grade, generally harmless | Green, green | Mastering by a science and technology staff |
The application discloses a ten-axis sensor-based grid displacement testing system integrating protection and monitoring, which achieves the protection purpose through a geogrid and achieves the monitoring purpose through a ten-axis sensor. As long as engineering of the geogrid can be used, the ordinary geogrid can be replaced by the geogrid embedded with ten-axis sensor chips.
Example 2
The using method of the grid displacement testing system based on the ten-axis sensor comprises the following steps:
the ten-axis sensor chip collects data information of acceleration, angle, angular velocity, magnetic field, altitude, air pressure and geographic coordinates of the monitoring points, and uploads the data information to the management monitoring cloud platform;
the management monitoring cloud platform obtains the change of the deformation and displacement of the geogrid of the monitoring point through comprehensive analysis according to the data information acquired by the ten-axis sensor chip, and performs error correction processing on the data information, so that the data error rate is reduced, and the data integrity rate is improved;
the management monitoring cloud platform synchronously updates data information acquired by the ten-axis sensor chip and an analysis result to the monitoring database server;
The remote monitoring center extracts data in the monitoring database server, obtains the width of cracks generated by the integral structure of the geogrid and the extending trend thereof after further processing, monitors the integral damage trend of the geogrid in real time so as to take corresponding protective measures in advance, and finally realizes automatic monitoring of the integral state of the geogrid and early warning of geological disasters;
when geological disasters occur, the remote monitoring center sends corresponding early warning information to the mobile user side according to different disaster early warning grades.
The method also comprises the following steps:
when in construction, after the geogrid embedded with ten-axis sensor chips in each layer is laid, debugging is carried out immediately, and whether error exists in data is observed to be larger, so that sensitivity debugging is carried out on the ten-axis sensor chips in the geogrid in time;
after the geogrid is completely paved, initializing and setting;
in the initial application stage of the grid displacement testing system based on the ten-axis sensor, the geogrid embedded with the ten-axis sensor chip is widely paved, and the deformation condition of the complete structural body of the geological disaster is comprehensively monitored by adopting a comprehensive monitoring mode;
after the monitoring and early-warning database is established by utilizing the collected and processed information, the deformation condition of the easily deformed part is monitored in a fixed-point monitoring mode through analysis and judgment of the monitoring and early-warning database.
The foregoing description of the preferred embodiments of the present disclosure is provided only and not intended to limit the disclosure so that various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (9)
1. Grid displacement test system based on ten sensors, characterized by includes: ten-axis sensor chips, geogrids, a management monitoring cloud platform, a monitoring database server, a remote monitoring center and a mobile user side;
the ten-axis sensor chip is embedded in the geogrid;
the ten-axis sensor chip collects data information of acceleration, angle, angular velocity, magnetic field, altitude, air pressure and geographic coordinates of the monitoring points, and uploads the data information to the management monitoring cloud platform;
the management monitoring cloud platform obtains the change of the deformation and displacement of the geogrid of the monitoring point through comprehensive analysis according to the data information acquired by the ten-axis sensor chip, and performs error correction processing on the data information, so that the data error rate is reduced, and the data integrity rate is improved;
the management monitoring cloud platform synchronously updates data information acquired by the ten-axis sensor chip and an analysis result to the monitoring database server;
The remote monitoring center extracts data in the monitoring database server, obtains the width of cracks generated by the integral structure of the geogrid and the extending trend thereof after further processing, monitors the integral damage trend of the geogrid in real time so as to take corresponding protective measures in advance, and finally realizes automatic monitoring of the integral state of the geogrid and early warning of geological disasters;
the remote monitoring center and the mobile user perform data transmission through a wireless network;
the geogrid comprises an upper rib and a lower rib;
one connecting side of the upper rib or the lower rib is provided with a groove;
an insulating protective layer is arranged outside the ten-axis sensor chip, the ten-axis sensor chip is tightly connected with the insulating protective layer through an adhesive, and the ten-axis sensor is embedded into the groove through the adhesive;
the upper rib and the lower rib are welded in a seamless way through ultrasonic waves.
2. A ten-axis sensor based grid displacement testing system as recited in claim 1, wherein,
the geogrid comprises a common geogrid and a geogrid embedded with ten sensor chips;
paving two geogrids in a cross combination mode, paving a common geogrid for a relatively safe area, and paving a geogrid embedded with ten sensor chips for an area needing to be monitored in an important way;
The common geogrid and the geogrid embedded with the ten-axis sensor chip can be connected in an assembling mode.
3. A ten-axis sensor based grid displacement testing system as recited in claim 1, wherein,
obtaining the displacement change of the geogrid embedded with the ten-axis sensor chip in the period of time through analyzing the displacement change of the ten-axis sensor chip acquired at the front and rear different moments, and further obtaining the three-dimensional deformation of the geogrid layer through analysis;
if the displacement of the ten-axis sensor chip is always zero or the azimuth of the ten-axis sensor chip is not changed all the time, the geogrid embedded with the ten-axis sensor chip is not deformed or changed in displacement;
if the displacement of the ten-axis sensor chip changes or the azimuth of the ten-axis sensor chip changes, the situation that the embedded ten-axis sensor chip deforms or changes in displacement is indicated, the data of the position of the ten-axis sensor chip should be observed in time, the deformation condition of the geogrid of the position of the ten-axis sensor chip is analyzed, and corresponding protective measures are convenient to take timely.
4. The ten-axis sensor-based grid displacement testing system according to claim 1, wherein the ten-axis sensor chip displacement changes acquired from time t to time t+Δt,
Δx＝x(t+Δt)-x(t)
Wherein Δx is a displacement, which represents a displacement from a time t to a time t+Δt at any point;
assuming that the change of the line segment formed between the observation points is represented by positive strain, the change of the included angle of each line segment is represented by shear strain, and examining any micro line segment in the structure body, the positive strain, namely the relative change of the length, is the positive strain,
wherein epsilon is positive strain, i.e. the relative change in length, l is the initial length of a segment, and l' is the length of the segment after deformation;
the shear strain, i.e. the relative change of direction,
γ＝α-α′
where γ is the shear strain, which is the amount used to represent the angular change, and α' each represent the angle of any line segment within the structure before and after deformation.
5. A ten-axis sensor based grid displacement testing system as recited in claim 1, wherein,
the ten-axis sensor chips can perform data interaction through a LoRa wireless sensor network;
the ten-axis sensor chip is connected with the management monitoring cloud platform, the monitoring database server is connected with the remote monitoring center, and the remote monitoring center is connected with the mobile user through a GPRS or wireless 3G/4G network or a Beidou communication mode.
6. A ten-axis sensor based grid displacement testing system as recited in claim 1, wherein,
The remote monitoring center can automatically monitor each dimension parameter of the geogrid for 24 hours, further analyze and judge the data, and adopt an automatic alarm mode of corresponding level according to different early warning levels reached by the monitored value;
the remote monitoring center sends corresponding early warning information to the mobile user terminal according to the different early warning grades;
the mobile user can send geological monitoring related information to a remote monitoring center.
7. The ten-axis sensor-based grid displacement testing system of claim 6, wherein,
user authentication or CA authentication is needed when login operation is carried out between the remote monitoring center and the mobile user;
the whole process of data processing is traceable, and uploading, modifying and deleting of each piece of data can be guaranteed to be corresponding to each remote monitoring center and mobile user side.
8. The application method of the grid displacement testing system based on the ten-axis sensor is characterized by comprising the following steps of:
the ten-axis sensor chip collects data information of acceleration, angle, angular velocity, magnetic field, altitude, air pressure and geographic coordinates of the monitoring points, and uploads the data information to the management monitoring cloud platform;
The management monitoring cloud platform obtains the change of the deformation and displacement of the geogrid of the monitoring point through comprehensive analysis according to the data information acquired by the ten-axis sensor chip, and performs error correction processing on the data information, so that the data error rate is reduced, and the data integrity rate is improved;
the management monitoring cloud platform synchronously updates data information acquired by the ten-axis sensor chip and an analysis result to the monitoring database server;
the remote monitoring center extracts data in the monitoring database server, obtains the width of cracks generated by the integral structure of the geogrid and the extending trend thereof after further processing, monitors the integral damage trend of the geogrid in real time so as to take corresponding protective measures in advance, and finally realizes automatic monitoring of the integral state of the geogrid and early warning of geological disasters;
when geological disasters occur, the remote monitoring center sends corresponding early warning information to the mobile user side according to different disaster early warning grades.
9. The method of using a ten-axis sensor-based grid displacement testing system of claim 8, further comprising the steps of:
when in construction, after the geogrid embedded with ten-axis sensor chips in each layer is laid, debugging is carried out immediately, and whether error exists in data is observed to be larger, so that sensitivity debugging is carried out on the ten-axis sensor chips in the geogrid in time;
After the geogrid is completely paved, initializing and setting;
in the grid displacement testing system based on the ten-axis sensor, the geogrid embedded with the ten-axis sensor chip is widely paved in the initial application stage, and the deformation condition of the complete structural body of the geological disaster is comprehensively monitored by adopting a comprehensive monitoring mode;
after the monitoring and early-warning database is established by utilizing the collected and processed information, the deformation condition of the easily deformed part is monitored in a fixed-point monitoring mode through analysis and judgment of the monitoring and early-warning database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811644577.0A CN109459094B (en) | 2018-12-29 | 2018-12-29 | Grating displacement testing system and method based on ten-axis sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811644577.0A CN109459094B (en) | 2018-12-29 | 2018-12-29 | Grating displacement testing system and method based on ten-axis sensor |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109459094A CN109459094A (en) | 2019-03-12 |
| CN109459094B true CN109459094B (en) | 2023-11-21 |
Family
ID=65615860
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811644577.0A Active CN109459094B (en) | 2018-12-29 | 2018-12-29 | Grating displacement testing system and method based on ten-axis sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109459094B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110459037B (en) * | 2019-09-12 | 2023-04-21 | 西南石油大学 | Landslide body monitoring equipment and instrument effectiveness test system and method |
| CN113251989B (en) * | 2021-05-25 | 2022-11-22 | 石家庄铁道大学 | Slope deformation monitoring method and device and terminal |
| CN114111884B (en) * | 2021-10-21 | 2024-03-26 | 郑州大学 | BIPV roofing waterproof coiled material health state monitoring and evaluating method |
| CN114739450B (en) * | 2022-03-18 | 2024-05-28 | 哈尔滨工业大学 | Combined intelligent geogrid suitable for roadbed in cold area and monitoring and early warning method |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100786219B1 (en) * | 2007-08-31 | 2007-12-17 | (주)다음기술단 | Retaining wall including wireless measurement system for safety diagnosis |
| CN101109615A (en) * | 2007-07-13 | 2008-01-23 | 东南大学 | Geogrid displacement meter |
| JP2008115643A (en) * | 2006-11-07 | 2008-05-22 | Maeda Kosen Co Ltd | Geotextile/geogrid with distortion detecting function, and distortion detecting system |
| CN101793020A (en) * | 2010-03-04 | 2010-08-04 | 中国矿业大学 | Geogrid strain testing device and testing method thereof |
| KR101244304B1 (en) * | 2011-10-20 | 2013-03-18 | 박현옥 | Detection system for the ground deformation |
| CN105295174A (en) * | 2015-11-20 | 2016-02-03 | 山东大学 | Sensing type geogrid material and structure thereof |
| CN205934898U (en) * | 2016-08-12 | 2017-02-08 | 山东瑞恩生态环境科技有限公司 | Geogrid based on alert and resourceful plastics sensor |
| CN106564217A (en) * | 2016-10-26 | 2017-04-19 | 东南大学 | Intelligent sandwich panel |
| KR101806239B1 (en) * | 2016-08-12 | 2018-01-10 | 태원주식회사 | Geogrid with Having a Function of Ground Sink Detection and Falling Accident Prevention |
| CN108166547A (en) * | 2018-01-30 | 2018-06-15 | 山东大学 | Resistance value alertness grid settlement of foundation tests system and method |
| CN108317948A (en) * | 2018-01-30 | 2018-07-24 | 山东大学 | Resistance value alertness grid foundation displacement tests system and method |
| CN208166897U (en) * | 2018-03-16 | 2018-11-30 | 山东大学 | A kind of build-in type is from perception TGXG structure |
| CN208266894U (en) * | 2018-04-24 | 2018-12-21 | 中国农业大学 | A kind of intelligent TGXG for soil-slope |
| CN209102148U (en) * | 2018-12-29 | 2019-07-12 | 山东大学 | Grid displacement test system based on ten axle sensors |
-
2018
- 2018-12-29 CN CN201811644577.0A patent/CN109459094B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008115643A (en) * | 2006-11-07 | 2008-05-22 | Maeda Kosen Co Ltd | Geotextile/geogrid with distortion detecting function, and distortion detecting system |
| CN101109615A (en) * | 2007-07-13 | 2008-01-23 | 东南大学 | Geogrid displacement meter |
| KR100786219B1 (en) * | 2007-08-31 | 2007-12-17 | (주)다음기술단 | Retaining wall including wireless measurement system for safety diagnosis |
| CN101793020A (en) * | 2010-03-04 | 2010-08-04 | 中国矿业大学 | Geogrid strain testing device and testing method thereof |
| KR101244304B1 (en) * | 2011-10-20 | 2013-03-18 | 박현옥 | Detection system for the ground deformation |
| CN105295174A (en) * | 2015-11-20 | 2016-02-03 | 山东大学 | Sensing type geogrid material and structure thereof |
| CN205934898U (en) * | 2016-08-12 | 2017-02-08 | 山东瑞恩生态环境科技有限公司 | Geogrid based on alert and resourceful plastics sensor |
| KR101806239B1 (en) * | 2016-08-12 | 2018-01-10 | 태원주식회사 | Geogrid with Having a Function of Ground Sink Detection and Falling Accident Prevention |
| CN106564217A (en) * | 2016-10-26 | 2017-04-19 | 东南大学 | Intelligent sandwich panel |
| CN108166547A (en) * | 2018-01-30 | 2018-06-15 | 山东大学 | Resistance value alertness grid settlement of foundation tests system and method |
| CN108317948A (en) * | 2018-01-30 | 2018-07-24 | 山东大学 | Resistance value alertness grid foundation displacement tests system and method |
| CN208166897U (en) * | 2018-03-16 | 2018-11-30 | 山东大学 | A kind of build-in type is from perception TGXG structure |
| CN208266894U (en) * | 2018-04-24 | 2018-12-21 | 中国农业大学 | A kind of intelligent TGXG for soil-slope |
| CN209102148U (en) * | 2018-12-29 | 2019-07-12 | 山东大学 | Grid displacement test system based on ten axle sensors |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109459094A (en) | 2019-03-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109459094B (en) | Grating displacement testing system and method based on ten-axis sensor | |
| KR102042616B1 (en) | IoT Based Safety Management System of Urban Construction Site | |
| CN102013150B (en) | System for predicting geologic hazard based on rainfall intensity, moisture content of slope soil and deformation | |
| CN205665842U (en) | Optical fiber sensing slope monitoring early warning system | |
| KR101008251B1 (en) | Method for Measuring Remote Automatic of Construction using Radio Sensor Network and System thereof | |
| CN106224007A (en) | Safety for tunnel engineering monitoring and warning management system | |
| CN107479466A (en) | The high-supported formwork deformation real-time monitoring system and monitoring method of wisdom building site control platform | |
| CN103743441A (en) | Multi-factor coupling on-line monitoring system and multi-factor coupling on-line monitoring system method for slope safety | |
| CN110145369B (en) | Ultra-shallow buried bias tunnel structure full-life monitoring and early warning method | |
| CN114005278B (en) | Intelligent monitoring and early warning system and method for highway infrastructure group | |
| KR20110125045A (en) | System and method for management an integrated variety facilities in safety | |
| CN105714842B (en) | Well sinking method for early warning and system | |
| CN104950782A (en) | Remote deformation characteristic monitoring system for mountain highway tunnel construction | |
| CN113900381A (en) | Steel structure remote health monitoring platform based on Internet of things and application method | |
| US20230056156A1 (en) | Sensor-enabled system and method for monitoring the health, condition, and/or status of rail track infrastructure | |
| CN113404029A (en) | Construction site deep foundation pit intelligent monitoring and early warning system based on digital twin technology | |
| CN110455210B (en) | Embedded optical fiber-based high-speed rail tunnel shape and position sensing method | |
| CN110173305B (en) | Method for monitoring and early warning whole service life of tunnel structure at fault | |
| CN110307036B (en) | Variable cross-section tunnel structure full-life monitoring and early warning method | |
| CN209102148U (en) | Grid displacement test system based on ten axle sensors | |
| CN109458924B (en) | Resistance smart grid deformation testing system and method based on ten-axis sensor | |
| CN116629602A (en) | Dynamic monitoring and disaster early warning system for earth-rock dam seepage safety based on digital twin technology and construction method thereof | |
| CN106781289A (en) | Blow out monitoring device of the construction to the motion of massif talus in a kind of tunnel | |
| CN208172969U (en) | A kind of high slope surface deformation monitoring and warning system | |
| CN209181718U (en) | Resistance value alertness grid deformation test system based on ten axle sensors |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |