CN215114507U - Foundation pit deformation early warning system - Google Patents
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- CN215114507U CN215114507U CN202022900817.8U CN202022900817U CN215114507U CN 215114507 U CN215114507 U CN 215114507U CN 202022900817 U CN202022900817 U CN 202022900817U CN 215114507 U CN215114507 U CN 215114507U
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Abstract
The utility model discloses a foundation ditch deformation early warning system, foundation ditch deformation early warning system includes sensing unit and data processing unit, the three-dimensional coordinate data of the automatic foundation ditch monitoring point location that records of sensing unit will measure the robot sends to data processing unit through the 5G network, data processing unit reachs the current deflection, the accumulative total deflection and the deformation rate of control foundation ditch behind the three-dimensional coordinate of the monitoring point location that obtains to accomplish foundation ditch deformation condition early warning based on predetermined early warning scheme. The system realizes the prediction of the deformation of the foundation pit, and is beneficial to the pretreatment of constructors in advance so as to ensure the safety of the constructors.
Description
Technical Field
The utility model belongs to construction detection area especially relates to a foundation ditch warp early warning system.
Background
In the last two years, 5G technology has progressed rapidly and has begun to be used commercially on a large scale. As a high-speed network, the 5G can realize real-time transmission of a large amount of data, and the efficiency of data transmission and processing is greatly improved.
Meanwhile, the measuring robot is also developed into remote control from a traditional instrument interface operation mode, is combined with a tablet personal computer and the like, and realizes remote automatic high-precision coordinate measurement through Bluetooth communication, but coordinate data generally need to be exported and then manually processed, and a large amount of point position data needs to consume more processing time.
On the other hand, the development of various sensors is very complete, and a large amount of information such as external environment conditions, stress and the like can be acquired, so that technicians can perfectly master various information of the foundation pit.
At present, urban construction high-rise forests and underground construction such as subways are rapidly developed, large deep foundation pits are more and more, foundation pit engineering excavation is an engineering with complex technology, experience and risk, and safety of the engineering needs to be guaranteed urgently.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to overcome prior art defect, provide a foundation ditch deformation early warning system, realized the prediction of foundation ditch deformation through this system, be favorable to constructor to carry out the preliminary treatment that advances to guarantee constructor's security.
The purpose of the utility model is realized through the following technical scheme:
the utility model provides a foundation pit warp early warning system, foundation pit warp early warning system includes sensing unit and data processing unit, the sensing unit sends the three-dimensional coordinate data of the foundation pit monitoring point location that measuring robot measured automatically to data processing unit through the 5G network, data processing unit reachs the current deflection of control foundation pit, accumulative deformation and deformation rate behind the three-dimensional coordinate of the monitoring point location that obtains to accomplish foundation pit deformation condition early warning based on preset early warning scheme.
According to a preferred embodiment, the measuring robot is fixed to the observation pier by means of bolts.
According to a preferred embodiment, the sensing unit further comprises: the device comprises a rain gauge, a pore water pressure gauge, a soil pressure gauge, a steel bar stress sensor, an underground water level gauge, a crack instrument and a camera.
According to a preferred embodiment, a solar panel is further arranged on the top of the sensing unit body, and the solar panel is connected to the control main board of the sensing unit through a power line.
According to a preferred embodiment, the rain gauge is configured for enabling monitoring of pit rainfall data; the pore water pressure gauge is configured for monitoring the pore water pressure of the foundation pit; the soil pressure gauge is configured for implementing foundation pit pile wall soil pressure monitoring; the steel bar stress sensor is configured to be used for monitoring the force in the pile wall; the ground water level meter is configured to be used for realizing ground water level monitoring at a foundation pit; the crack detector is configured to monitor the size of the crack in the foundation pit.
According to a preferred embodiment, the camera is configured to be used for acquiring video data at the foundation pit.
According to a preferred embodiment, the camera is arranged on the top of the body of the sensing unit.
According to a preferred embodiment, the control main board of the sensing unit is also connected with a reservoir hard disk.
The main scheme and the further selection schemes of the utility model can be freely combined to form a plurality of schemes, which are the schemes that can be adopted and claimed by the utility model; and the utility model discloses also can the independent assortment between (each non-conflict selection) selection and between other choices. The technical solutions to be protected by the present invention, which are various combinations that can be known to those skilled in the art based on the prior art and the common general knowledge after understanding the present invention, are not exhaustive herein.
The utility model has the advantages that: (1) the utility model discloses the system is applied to a large amount of monitoring data's quick real-time transmission with the 5G technique, can realize the integrated processing of multinomial data, has improved data processing's efficiency and deformation analysis's accuracy. (2) And (3) taking the high-precision three-dimensional coordinates obtained by the measuring robot as basic data, and obtaining real-time deformation information of the foundation pit through index calculation to ensure the construction safety of the foundation pit. (3) The data obtained by various sensors are combined with foundation pit deformation indexes, various data are divided into relevant data and irrelevant data through logistic regression analysis, the relevant data are used as factors influencing foundation pit deformation, the irrelevant data do not influence the foundation pit deformation, and deformation influencing factors are quickly positioned. (4) And (3) fitting the factors influencing the foundation pit deformation by using a mathematical model respectively, selecting an optimal function for prediction, predicting the deformation trend in advance, and assisting managers in making decisions and making related preparations. And (5) dividing the obtained final index into 3 early warning levels with different levels according to safety, and sending early warning information to a manager in real time by the system in an online display mode, a short message mode, a mobile phone mode and the like, wherein the manager can make corresponding decisions according to the early warning levels.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic workflow diagram of the system of the present invention;
FIG. 3 is a functional image of a regional regression of the present invention;
fig. 4 is a schematic diagram of a sensing unit of the system of the present invention;
the system comprises a machine body 100, a control main board 101, a solar panel 102, a temperature sensor, a humidity sensor and an air pressure sensor 103, a camera 104, a measuring robot 105, a rain gauge 106, a pore water pressure gauge 107, a soil pressure gauge 108, a reinforcing steel bar stress sensor 109, an underground water level gauge 110, a crack detector 111 and an observation pier 112.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The present invention can also be implemented or applied through other different specific embodiments, and various details in the present specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that, in order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are some, but not all embodiments of the present invention.
Thus, the following detailed description of the embodiments of the present invention is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate the position or positional relationship that the utility model is usually placed when using, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Furthermore, the terms "horizontal", "vertical", "overhang" and the like do not imply that the components are required to be absolutely horizontal or overhang, but may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Additionally, the utility model discloses it is pointed out that, in the utility model, if do not write out structure, connection relation, positional relationship, power source relation etc. that concretely relates to very much, then the utility model relates to a structure, connection relation, positional relationship, power source relation etc. are technical personnel in the field on prior art's basis, can not learn through creative work.
Referring to fig. 1, fig. 2 and fig. 4, the utility model discloses a foundation pit warp early warning system, foundation pit warp early warning system includes sensing unit and data processing unit, the three-dimensional coordinate of the monitoring point position that sensing unit will record foundation pit observation data and measuring robot sends to data processing unit through the 5G network, data processing unit is based on the three-dimensional coordinate after analysis of the monitoring point position that obtains reachs current deflection, the accumulative total deflection and the deformation rate of monitoring foundation pit to accomplish foundation pit deformation condition early warning based on the data that record analysis obtained.
Preferably, the sensing unit includes: the system comprises a temperature and humidity and air pressure sensor, a measuring robot, a rain gauge, a pore water pressure gauge, a soil pressure gauge, a steel bar stress sensor, an underground water level gauge, a crack gauge and a camera, and is used for acquiring three-dimensional coordinates, rainfall, pore water pressure, pile wall soil pressure, pile wall internal force, underground water level, crack size and video data of an observation point of a foundation pit.
Preferably, the measuring robot is fixed on the reinforced concrete observation pier through a screw and is connected with a power line, so that all-weather and high-precision three-dimensional coordinate measurement can be realized. The measuring robot can automatically carry out high-precision three-dimensional coordinate measurement on the foundation pit and the peripheral monitoring point positions, the highest precision can reach a submillimeter level, the coordinate of each monitoring point position is transmitted to the control main board of the sensing unit in real time, and then the sensing unit transmits the coordinate back to the data processing unit through a 5G network.
Preferably, sensing unit's organism is sealed by the alloy box, and control mainboard, 5G communication module and corresponding circuit are placed to inside, but waterproof dustproof, and the bottom welding is on the steel sheet of lower part, and the lower part steel sheet passes through long screw fixation to the concrete on.
Preferably, alloy case surface mounting high definition digtal camera, thermometer, hygrometer, barometer and liquid crystal display panel to through power cord access control mainboard, realize data input.
Preferably, a photovoltaic solar panel with a large area is installed at the top of the alloy box, and is connected to the control main board through a power line to supply power to the whole equipment.
Preferably, a plurality of data line interfaces are reserved on the surface of the alloy box, sensing devices such as a rain gauge, a pore water pressure gauge, a soil pressure gauge, a steel bar stress sensor, an underground water level gauge and a crack instrument can be accessed through the data lines, wherein the soil pressure gauge and the pore water pressure gauge are arranged in the wall of a foundation pit, the underground water level gauge is arranged in the foundation pit, the crack instrument is accessed when in use, the interfaces are 30cm higher than the ground, and a protective cover is arranged at the interfaces to prevent water and dust.
Preferably, the measurement data, the sensing data and the interface input data measured by the sensing unit can be displayed on a liquid crystal panel of the body.
Preferably, the control main board of the sensing unit is connected with a large-capacity hard disk (20TB), can store all data and transmits the data back to the data center through a 5G network.
Preferably, after receiving the high-precision three-dimensional coordinates of the monitoring point, the data processing unit needs to calculate the indexes such as the current deformation, the accumulated deformation, the deformation rate and the like by using a formula, wherein the calculation formula is as follows:
Δxi＝xi-xi-1(i ═ 1.2.. n), where Δ xiDenotes the amount of lateral displacement, xiRepresenting the measured transverse coordinate, x, of the current periodi-1The lateral coordinates measured at the previous stage are indicated.
Δyi＝yi-yi-1(i ═ 1.2.. n), where Δ yiIndicates the amount of longitudinal displacement, yiDenotes the longitudinal coordinate, xi, measured at this stage-1The longitudinal coordinate measured in the previous period is shown.
Δzi＝zi-zi-1(i ═ 1.2.. n), where Δ z isiRepresents the amount of lateral displacement, ziRepresenting the measured elevation, z, of the current stagei-1The measured elevations of the upper stage are indicated.
S＝ΣSi(i 1.2.. n), where S represents the cumulative amount of displacement.
Preferably, after receiving the data of a large number of sensors, the data processing unit performs a logistic regression analysis by combining deformation information of the monitoring points, and with reference to fig. 3, determines whether each type of data is related to deformation according to a correlation threshold, and divides each type of sensor data into two types, i.e., related and unrelated.
Specifically, various sensors influencing the deformation of the foundation pit are classified through the logistic regression analysis, and a binary logistic regression formula is as follows:
the result of the output is the probability that the sensor values are predicted to be relevant, and the probability of being predicted to be irrelevant is 1-phi (z).
Preferably, for the classified sensor data affecting the deformation of the foundation pit, the regression function is used for fitting the classified sensor data by combining with the deformation index data, and a function with the fitting goodness meeting the preset condition is selected for prediction.
Preferably, the regression function comprises: linear functions, polynomial functions, power functions, exponential functions, and logarithmic functions.
Specifically, common function fitting is performed on related sensor data, a function formula with the optimal fitting degree is selected and predicted, and the alternative regression function is as follows:
a linear function model: y ═ beta0+β1x1+β2x2+βkxk+ε
Wherein beta is0,β1,…βkIs k +1 parameters, β0，β1,…βkAre coefficients.
② polynomial function: a is0+a1x+a2x2+···+anxn
According to the principle of series expansion, any complex unary continuous function can be approximately expressed by a high-order polynomial, and for many nonlinear curve relations, a polynomial function can be used for fitting.
The linearization method comprises the following steps: let X1＝x，X2＝x2，Xn＝xnThen the polynomial can be converted into a multivariate linear equation:
y＝a0+a1X1+a2X2+···+anXnthe coefficient a can be solved by using the least square method0，a1，…，an。
In actual work, different orders are selected, fitting effects are different, and the appropriate order needs to be selected by integrating fitting degree and error control.
Third, the power function curve y is axb
After linearization, y 'is lna + bx'.
(ae) curve of index ybx
After linearization, y 'is lna + bx'.
Logarithmic curve y ═ a + blnx
After linearization, y 'becomes a + bx'.
Sixthly, hyperbolic curve:
after linearization, y 'becomes a + bx'.
The fit of the regression prediction function model described above depends on the test on the function model and the calculation of the prediction error. The regression equation can be used as a prediction model for prediction only if the regression equation passes the test and the prediction error is small. For alternative regression equation forms, comparisons are needed to select the better equation.
Preferably, the regression function selection is done by a decision coefficient criterion, a residual standard deviation criterion and/or an F-test criterion.
In particular, the usual criteria are:
determining a coefficient R2：
R2Referred to as the coefficient of determination, R2≤1。R2The large representation observation is closer to the fit, so R2The fitting effect of a larger equation is good.
Residual standard deviation s:
s is called residual standard deviation and can be regarded asThe method is an arithmetic root of the sum of squares of the average residuals, and the equation with a small value has good fitting effect. Determining the coefficient R2And the remaining standard deviation s are always consistent for the chosen equation, since s is small then the sum of the squared residuals is small, so that R2Must be large. R2The magnitude of (d) gives the overall goodness of fit and s gives a measure of the deviation of the observed point from the regression curve. Therefore, both are usually found in practical problems, and the fitted curve is known from different angles.
Checking by F:
wherein,
SSR-SST-SSE. For analysis, a statistical model with multiple parameters is used to determine whether all or some of the parameters in the model are suitable for use in estimating a sample.
Preferably, an early warning scheme is set according to the indexes calculated by the data processing unit, and early warning information is sent to a processor in real time in an online display mode, a short message mode and a mobile phone mode.
Specifically, the early warning scheme is as follows:
the utility model discloses the system is applied to a large amount of monitoring data's quick real-time transmission with the 5G technique, can realize the integrated processing of multinomial data, has improved data processing's efficiency and deformation analysis's accuracy. And (3) taking the high-precision three-dimensional coordinates obtained by the measuring robot as basic data, and obtaining real-time deformation information of the foundation pit through index calculation to ensure the construction safety of the foundation pit. The data obtained by various sensors are combined with foundation pit deformation indexes, various data are divided into relevant data and irrelevant data through logistic regression analysis, the relevant data are used as factors influencing foundation pit deformation, the irrelevant data do not influence the foundation pit deformation, and deformation influencing factors are quickly positioned. And (3) fitting the factors influencing the foundation pit deformation by using a mathematical model respectively, selecting an optimal function for prediction, predicting the deformation trend in advance, and assisting managers in making decisions and making related preparations. The obtained final indexes are divided into 3 early warning levels with different levels according to safety, and early warning information is sent to managers in real time by the system through modes of online display, short messages, mobile phones and the like, and the managers can make corresponding decisions according to the early warning levels.
The aforesaid the utility model discloses basic embodiment and each further alternative can the independent assortment in order to form a plurality of embodiments, is the utility model discloses can adopt and claim the embodiment of protection. In the scheme of the utility model, each selection example can be combined with any other basic examples and selection examples at will. Numerous combinations will be known to those skilled in the art.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, as any modifications, equivalents, improvements and the like made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. A foundation pit deformation early warning system is characterized by comprising a sensing unit and a data processing unit,
the sensor unit sends the three-dimensional coordinate data of the foundation pit monitoring point position automatically measured by the measuring robot to the data processing unit through the 5G network, the data processing unit obtains the current deformation, the accumulated deformation and the deformation rate of the monitored foundation pit based on the obtained three-dimensional coordinate of the monitoring point position, and the foundation pit deformation condition early warning is completed based on a preset early warning scheme.
2. The foundation pit deformation early warning system of claim 1, wherein the measuring robot is fixed on the observation pier through bolts.
3. The early warning system of pit deformation of claim 2, wherein the sensing unit further comprises: the device comprises a rain gauge, a pore water pressure gauge, a soil pressure gauge, a steel bar stress sensor, an underground water level gauge, a crack instrument and a camera.
4. The foundation pit deformation early warning system of claim 3, wherein a solar panel is further arranged at the top of the machine body of the sensing unit, and the solar panel is connected to a control main board of the sensing unit through a power line.
5. The pit distortion warning system of claim 3, wherein the rain gauge is configured to enable monitoring of pit rainfall data; the pore water pressure gauge is configured for monitoring the pore water pressure of the foundation pit; the soil pressure gauge is configured for implementing foundation pit pile wall soil pressure monitoring; the steel bar stress sensor is configured to be used for monitoring the force in the pile wall; the ground water level meter is configured to be used for realizing ground water level monitoring at a foundation pit; the crack detector is configured to monitor the size of the crack in the foundation pit.
6. The pit distortion early warning system of claim 3, wherein the camera is configured to enable video data acquisition at the pit.
7. The foundation pit deformation early warning system of claim 3, wherein the camera is arranged at the top of the body of the sensing unit.
8. The foundation pit deformation early warning system of claim 4, wherein the control mainboard of the sensing unit is further connected with a reservoir hard disk.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114743363A (en) * | 2022-05-19 | 2022-07-12 | 中建三局集团有限公司 | Intelligent wireless remote early warning system and early warning method for foundation pit enclosure |
| CN116045830A (en) * | 2022-08-25 | 2023-05-02 | 北京城建集团有限责任公司 | Automatic measuring system for door-span type crack development |
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2020
- 2020-12-07 CN CN202022900817.8U patent/CN215114507U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114743363A (en) * | 2022-05-19 | 2022-07-12 | 中建三局集团有限公司 | Intelligent wireless remote early warning system and early warning method for foundation pit enclosure |
| CN116045830A (en) * | 2022-08-25 | 2023-05-02 | 北京城建集团有限责任公司 | Automatic measuring system for door-span type crack development |
| CN116045830B (en) * | 2022-08-25 | 2023-08-08 | 北京城建集团有限责任公司 | Automatic measuring system for door-span type crack development |
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