A data monitoring method for a cover-excavated subway foundation pit

Abstract

The application provides a data monitoring method for covering and excavating a subway foundation pit, comprising: controlling a plurality of detection sensors at a plurality of target positions of a plurality of intermediate columns, a plurality of cover plate beams, a plurality of supporting pieces and / or a plurality of enclosing columns to rotate at least one target angle, and controlling the detection sensors to move to a plurality of target positions; when each detection sensor rotates to a target angle and / or moves to a target position, detection data of the detection sensor is acquired; and whether the subway foundation pit has surface subsidence and / or side wall deformation is determined according to a plurality of detection data. The application combines intelligent sensors with industrial vision, visual detection and visual measurement, acquires a plurality of detection data through a plurality of detection sensors arranged on the subway foundation pit structure, and determines whether the subway foundation pit has surface subsidence and / or side wall deformation according to the plurality of detection data, thereby avoiding the problem that a slight structural deformation cannot be effectively detected.

Description

Technical Field

[0001] The present application relates to the technical field of subway foundation pit detection, and in particular to a data monitoring method for a covered and excavated subway foundation pit. Background Art

[0002] With the increase in investment in subway construction, the city's underground space can be effectively utilized, which can separate people and vehicles, alleviate the pressure of urban traffic, make people's lives more convenient, save space, and be conducive to the construction of urban ground buildings and the expansion of green areas, making the city more suitable for people to live and work, and more conducive to urban development.

[0003] During subway construction, due to factors such as construction safety and reducing the impact of construction on pipelines and buildings, especially when subway lines are built around universities or research institutes, the construction is more sensitive to factors such as the structural settlement of the foundation pit and the deformation of the side panels. Higher requirements are placed on the stability of subway foundation pit construction. Therefore, precise detection of whether the structure of the subway foundation pit is deformed becomes particularly critical. Detecting tiny structural deformations can enable workers to effectively reinforce the structure of the subway foundation pit in advance and minimize the structural deformation of the subway foundation pit.

[0004] However, the current data detection of subway foundation pits is still in the relatively primitive manual inspection stage, and it is impossible to effectively detect tiny structural deformations. Summary of the Invention

[0005] In view of this, the purpose of this application is to provide a data monitoring method for a covered and excavated subway foundation pit, which can obtain multiple detection data through multiple detection sensors set on the subway foundation pit structure, and determine whether there is surface settlement and / or side wall deformation in the subway foundation pit based on the multiple detection data, thereby avoiding the problem of being unable to effectively detect tiny structural deformations.

[0006] At the same time, tiny structural deformations can be detected, which makes it easier for staff to effectively reinforce the structure of the subway foundation pit in advance and minimize the structural deformation of the subway foundation pit.

[0007] In a first aspect, an embodiment of the present application provides a data monitoring method for a covered-excavation subway foundation pit, the covered-excavation subway foundation pit comprising a cover plate, multiple cross baffles, multiple cover plate beams, an intermediate column, multiple mother piles, multiple perimeter purlins, and multiple support members, wherein the multiple cover plate beams are used to support the cover plate, the multiple mother piles and the intermediate columns are used to support the multiple cover plate beams, the multiple cross baffles are located between the multiple mother piles and the side walls of the subway foundation pit, one end of each support member is connected to the intermediate column, and the other end of each intermediate member is connected to a perimeter purlin, and the multiple perimeter purlins are used to horizontally support the multiple mother piles and the cross baffles;

[0008] The method includes: controlling multiple detection sensors located at multiple target positions of the middle column, multiple cover beams, multiple support members and / or multiple purlins to rotate at least one target angle, and controlling the detection sensors to move to multiple target positions; acquiring detection data of each detection sensor each time it rotates to a target angle and / or moves to a target position; and determining whether there is surface settlement and / or side wall deformation in the subway foundation pit based on the multiple detection data.

[0009] Optionally, multiple vibration detectors are provided on the middle column, multiple mother piles, multiple surrounding purlins and multiple support members, wherein the method further includes: obtaining multiple foundation pit vibration data detected by the multiple vibration detectors; and determining whether there is a problem of excessive vibration in the subway foundation pit operation based on the multiple foundation pit vibration data.

[0010] Optionally, the multiple detection sensors are multiple distance sensors or multiple image sensors, wherein the detection data of each image sensor is obtained by the following steps: controlling the image sensor to move to a target angle; controlling the image sensor to move along the horizontal direction or vertical direction corresponding to the target angle, and controlling the image sensor to capture a first detection position image every time it moves a preset distance, and the multiple first position detection images captured by the image sensor are the detection data of the image sensor.

[0011] Optionally, the following steps are performed to determine whether there is surface subsidence in the subway foundation pit: for each image sensor, determine whether the position corresponding to the target angle of the multiple first detection position images taken by the image sensor is the surface; for each image sensor, if the position corresponding to the target angle of the multiple first detection position images taken by the image sensor is the surface, then determine the first distance value between the image sensor and the first detection position based on the multiple first detection position images taken by the image sensor, the first distance value being the height of the image sensor when the first target image is taken, and the first target image being the first detection position image with the largest grayscale contrast value among the multiple first detection position images; determine whether there is surface subsidence at the first detection position based on the first distance value and the standard distance value between the first detection position corresponding to the image sensor.

[0012] Optionally, the step of determining the first distance value between each image sensor and the first detection position based on multiple first detection position images captured by each image sensor includes: for each first position detection image, obtaining a first position detection grayscale image corresponding to the first position detection image based on the first position detection image; for each first position detection image, obtaining the grayscale values ​​of multiple pixel points in the grayscale value extraction row in the first position detection grayscale image; for each first position detection image, calculating the grayscale contrast value of the first position detection image based on the grayscale values ​​of the multiple pixel points; calculating the maximum grayscale contrast value of multiple first position detection images among the multiple grayscale contrast values ​​of the multiple first position detection images based on the grayscale contrast values ​​of the multiple first position detection images; and determining the first distance value between the image sensor and the first detection position when the first position detection image was captured based on the first position detection image corresponding to the maximum grayscale contrast value.

[0013] Optionally, for each first position detection image, the step of calculating the grayscale contrast value of the first position detection image based on the grayscale values ​​of the multiple pixel points includes: for each first position detection image, the step of calculating the grayscale contrast value of each first position detection image based on the grayscale values ​​of the multiple pixel points includes: for each first position detection image, obtaining the highest grayscale value and the lowest grayscale value among the grayscale values ​​of the multiple pixel points; for each first position detection image, calculating the difference between the highest grayscale value and the lowest grayscale value of the first position detection image; for each first position detection image, determining the difference as the grayscale contrast value of the first position detection image.

[0014] Optionally, the detection data of each distance sensor is obtained by the following steps: controlling the distance sensor to rotate to a target angle; controlling the distance sensor to move along the horizontal direction or vertical direction corresponding to the target angle, and controlling the distance sensor to obtain distance measurement data every time it moves a preset distance.

[0015] Optionally, a water level detector is provided at the bottom of the subway foundation pit, wherein the method further includes: determining whether the data of the water level detector is zero; if the data of the water level detector is not zero, determining whether there is surface subsidence in the subway foundation pit using an image sensor.

[0016] Optionally, the following steps are performed to determine whether there is surface subsidence in the subway foundation pit: for each distance sensor, control the distance sensor to rotate to a vertical direction; for each distance sensor, control the distance sensor to move in a horizontal direction, and control the distance sensor to obtain distance measurement data every time it moves a preset distance; for each distance sensor, determine whether there is surface subsidence in the subway foundation pit based on the distance data detected by the distance sensor at each position.

[0017] Optionally, the following steps are performed to determine whether there is side wall deformation in the subway foundation pit: for each distance sensor, control the distance sensor to rotate to the horizontal direction; for each distance sensor, control the distance sensor to move in the horizontal direction and / or vertical direction, and control the distance sensor to obtain distance measurement data every time it moves a preset distance; for each distance sensor, determine whether there is side wall deformation in the subway foundation pit based on the distance data detected by the distance sensor at each position.

[0018] In a second aspect, an embodiment of the present application further provides a data monitoring device for a covered and excavated subway foundation pit, wherein the covered and excavated subway foundation pit includes a cover plate, multiple cross baffles, multiple cover plate beams, an intermediate column, multiple mother piles, multiple surrounding purlins, and multiple support members, wherein the multiple cover plate beams are used to support the cover plate, the multiple mother piles and the intermediate columns are used to support the multiple cover plate beams, the multiple cross baffles are located between the multiple mother piles and the side walls of the subway foundation pit, one end of each support member is connected to the intermediate column, and the other end of each intermediate member is connected to a surrounding purlin, and the multiple surrounding purlins are used to horizontally support the multiple mother piles and cross baffles, wherein the device includes:

[0019] a detection sensor control module, configured to control a plurality of detection sensors located at a plurality of target positions of the intermediate column, the plurality of cover beams, the plurality of support members, and / or the plurality of perimeter purlins to rotate by at least one target angle, and to control the detection sensors to move to the plurality of target positions;

[0020] A detection data acquisition module, configured to acquire detection data of each detection sensor each time the detection sensor rotates to a target angle and / or moves to a target position;

[0021] The structural deformation determination module is used to determine whether there is side wall deformation in the subway foundation pit based on the distance data detected by the distance sensor at each position.

[0022] The data monitoring method for covered and excavated subway foundation pits provided in the embodiment of the present application uses intelligent sensors combined with industrial vision, visual inspection, and visual measurement to obtain multiple detection data through multiple detection sensors set on the subway foundation pit structure, and determine whether there is surface settlement and / or side wall deformation in the subway foundation pit based on the multiple detection data, thereby avoiding the problem of being unable to effectively detect tiny structural deformations.

[0023] At the same time, tiny structural deformations can be detected, which makes it easier for staff to effectively reinforce the structure of the subway foundation pit in advance and minimize the structural deformation of the subway foundation pit.

[0024] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A flow chart of a data monitoring method for a subway foundation pit provided in an embodiment of the present application;

[0027] Figure 2 This is a schematic diagram of the structure of a covered and excavated subway foundation pit provided in an embodiment of the present application;

[0028] Figure 3 This is a structural schematic diagram of a data monitoring device for a covered and excavated subway foundation pit provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for which protection is claimed, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work falls within the scope of protection of the present application.

[0030] First, the application scenarios to which this application is applicable are introduced. This application can be applied in the field of subway foundation pit detection technology.

[0031] Research has found that with the increase in investment in subway construction, the city's underground space can be effectively utilized, people and vehicles can be separated, the pressure of urban traffic can be alleviated, people's lives can be made more convenient, space can be saved, and it is conducive to the construction of urban ground buildings and the expansion of green areas, making the city more suitable for people to live and live, and more conducive to urban development.

[0032] During subway construction, due to factors such as construction safety and reducing the impact of construction on pipelines and buildings, especially when subway lines are built around universities or research institutes, the construction is more sensitive to factors such as the structural settlement of the foundation pit and the deformation of the side panels. Higher requirements are placed on the stability of subway foundation pit construction. Therefore, precise detection of whether the structure of the subway foundation pit is deformed becomes particularly critical. Detecting tiny structural deformations can enable workers to effectively reinforce the structure of the subway foundation pit in advance and minimize the structural deformation of the subway foundation pit.

[0033] However, the current data detection of subway foundation pits is still in the relatively primitive manual inspection stage, and it is impossible to effectively detect tiny structural deformations.

[0034] Based on this, an embodiment of the present application provides a data monitoring method for a covered and excavated subway foundation pit, which can obtain multiple detection data through multiple detection sensors set on the subway foundation pit structure, and determine whether there is surface settlement and / or side wall deformation in the subway foundation pit based on the multiple detection data, thereby avoiding the problem of being unable to effectively detect tiny structural deformations.

[0035] At the same time, tiny structural deformations can be detected, which makes it easier for staff to effectively reinforce the structure of the subway foundation pit in advance and minimize the structural deformation of the subway foundation pit.

[0036] See also Figure 1 , Figure 1 This is a flow chart of a data monitoring method for a subway foundation pit provided by an embodiment of the present application. Figure 1 As shown in , the data monitoring method for a subway foundation pit provided by an embodiment of the present application includes:

[0037] S101, controlling multiple detection sensors located at multiple target positions of a middle column, multiple cover beams, multiple support members and / or multiple purlins to rotate at least one target angle, and controlling the detection sensors to move to multiple target positions.

[0038] The multiple detection sensors may be multiple image sensors (for example, multiple types of cameras) and multiple distance sensors (laser rangefinders of multiple precisions).

[0039] As an example, see Figure 2 , Figure 2 This is a schematic diagram of the structure of the subway foundation pit provided by the embodiment of this application. Figure 2 As shown in , the subway foundation pit is covered and excavated, including: a cover plate 201, multiple cross baffles 202, multiple cover beams 203, an intermediate column 204, multiple mother piles 205, multiple surrounding purlins 206, multiple support members 207, and a preset track 208.

[0040] Among them, the multiple cover beams are used to support the cover, the multiple mother piles and intermediate columns are used to support the multiple cover beams, the multiple cross baffles are located between the multiple mother piles and the side walls of the subway foundation pit, one end of each support member is connected to the intermediate column, and the other end of each intermediate member is connected to a purlin, and the multiple purlins are used to support the multiple mother piles and cross baffles in the horizontal direction.

[0041] As an example, this application takes the middle column as an example. The detection sensor can be installed on a preset track located on the middle column. A movable rotation mechanism can be set on the preset track, and the detection sensor can be installed on the movable rotation mechanism to move or rotate.

[0042] It should be noted that installing the detection sensor on the middle column is only an example. The detection sensor can be installed on multiple subway foundation pit structures such as cover beams, supports and / or multiple purlins according to actual needs.

[0043] Optionally, multiple vibration detectors are provided on the middle column, the multiple mother piles, the multiple surrounding purlins and the multiple supporting members.

[0044] The method further includes: obtaining a plurality of foundation pit vibration data detected by a plurality of vibration detectors; and determining whether there is a problem of excessive vibration in the subway foundation pit operation based on the plurality of foundation pit vibration data.

[0045] Here, the present application can detect vibrations during the construction of the subway foundation pit more accurately and effectively by installing a vibration detector on the main supporting structure of the subway foundation pit.

[0046] S102 : Acquire detection data of each detection sensor each time the detection sensor rotates to a target angle and / or moves to a target position.

[0047] The detection sensor may be a distance sensor or an image sensor.

[0048] The multiple detection sensors may be multiple image sensors (for example, multiple types of cameras) and multiple distance sensors (laser rangefinders of multiple precisions).

[0049] Wherein, a water level detector is provided at the bottom of the subway foundation pit.

[0050] Specifically, the method further includes: determining whether the data of the water level detector is zero; if the data of the water level detector is not zero, determining whether there is surface subsidence in the subway foundation pit using an image sensor.

[0051] It should be noted that during the construction of subway foundation pits, water often accumulates at the bottom of the subway foundation pit. When water accumulates at the bottom of the subway foundation pit, distance sensors (such as laser sensors) can only detect the distance between the instrument and the water surface, and cannot detect the bottom of the subway foundation pit.

[0052] Specifically, the detection data of each image sensor can be obtained through the following steps: controlling the image sensor to move to the target angle; controlling the image sensor to move along the horizontal direction or vertical direction corresponding to the target angle, and controlling the image sensor to capture a first detection position image every time it moves a preset distance. The multiple first position detection images captured by the image sensor are the detection data of the image sensor.

[0053] As an example, the image sensor disposed on the middle column may be controlled to move to an angle perpendicular to the ground, with the image sensor lens pointed toward the ground, and the image sensor may be controlled to move vertically on the track of the middle column.

[0054] Specifically, the following steps can be used to determine whether there is surface subsidence in a subway foundation pit: for each image sensor, determine whether the position corresponding to the target angle of the multiple first detection position images taken by the image sensor is the surface; for each image sensor, if the position corresponding to the target angle of the multiple first detection position images taken by the image sensor is the surface, then determine the first distance value between the image sensor and the first detection position based on the multiple first detection position images taken by the image sensor, where the first distance value is the height of the image sensor when the first target image is taken, and the first target image is the first detection position image with the largest grayscale contrast value among the multiple first detection position images; determine whether there is surface subsidence at the first detection position based on the first distance value and the standard distance value between the first detection position corresponding to the image sensor.

[0055] Here, the standard distance value can be the original value of the foundation pit detected in advance, or it can be the standard distance value marked on the subway foundation pit construction drawing.

[0056] Specifically, the step of determining the first distance value between each image sensor and the first detection position based on multiple first detection position images captured by each image sensor includes: for each first position detection image, obtaining a first position detection grayscale image corresponding to the first position detection image based on the first position detection image; for each first position detection image, obtaining the grayscale values ​​of multiple pixel points in the grayscale value extraction row in the first position detection grayscale image; for each first position detection image, calculating the grayscale contrast value of the first position detection image based on the grayscale values ​​of the multiple pixel points; calculating the maximum grayscale contrast value of multiple first position detection images among the multiple grayscale contrast values ​​of the multiple first position detection images based on the grayscale contrast values ​​of the multiple first position detection images; and determining the first distance value between the image sensor and the first detection position when the first position detection image was captured based on the first position detection image corresponding to the maximum grayscale contrast value.

[0057] Among them, for each first position detection image, the step of calculating the grayscale contrast value of the first position detection image according to the grayscale values ​​of the multiple pixel points includes: for each first position detection image, the step of calculating the grayscale contrast value of each first position detection image according to the grayscale values ​​of the multiple pixel points includes: for each first position detection image, obtaining the highest grayscale value and the lowest grayscale value among the grayscale values ​​of the multiple pixel points; for each first position detection image, calculating the difference between the highest grayscale value and the lowest grayscale value of the first position detection image; for each first position detection image, determining the difference as the grayscale contrast value of the first position detection image.

[0058] When there is no water accumulation in the subway foundation pit or when the structural position of the side wall of the subway foundation pit is to be detected, a distance sensor can be used for detection. The distance sensor can directly obtain distance data, making data acquisition more convenient and quick.

[0059] Specifically, the detection data of each distance sensor can be obtained by the following steps: controlling the distance sensor to rotate to a target angle; controlling the distance sensor to move along the horizontal direction or vertical direction corresponding to the target angle, and controlling the distance sensor to obtain distance measurement data every time it moves a preset distance.

[0060] S103: Determine whether there is surface settlement and / or side wall deformation in the subway foundation pit based on the plurality of detection data.

[0061] Specifically, the following steps are used to determine whether there is surface subsidence in a subway foundation pit: for each image sensor, determine whether the position corresponding to the target angle of the multiple first detection position images taken by the image sensor is the surface; for each image sensor, if the position corresponding to the target angle of the multiple first detection position images taken by the image sensor is the surface, determine the first distance value between the image sensor and the first detection position based on the multiple first detection position images taken by the image sensor, the first distance value being the height of the image sensor when the first target image is taken, and the first target image being the first detection position image with the largest grayscale contrast value among the multiple first detection position images; determine whether there is surface subsidence at the first detection position based on the first distance value and the standard distance value between the first detection position corresponding to the image sensor.

[0062] Exemplarily, the following steps can be used to determine whether there is surface subsidence in the subway foundation pit: for each distance sensor, control the distance sensor to rotate to a vertical direction; for each distance sensor, control the distance sensor to move in a horizontal direction, and control the distance sensor to obtain distance measurement data every time it moves a preset distance; for each distance sensor, determine whether there is surface subsidence in the subway foundation pit based on the distance data detected by the distance sensor at each position.

[0063] Specifically, the following steps can be used to determine whether the side wall of the subway foundation pit is deformed: for each distance sensor, control the distance sensor to rotate to the horizontal direction; for each distance sensor, control the distance sensor to move in the horizontal direction and / or vertical direction, and control the distance sensor to obtain distance measurement data every time it moves a preset distance; for each distance sensor, determine whether the side wall of the subway foundation pit is deformed based on the distance data detected by the distance sensor at each position.

[0064] As an example, when the distances measured by the distance sensor at multiple positions on the same horizontal line of the side wall are different, it can be determined that there is side wall deformation in the subway foundation pit. It can also be determined that there is side wall deformation in the subway foundation pit when the distance of a certain position measured by the distance sensor is different from the standard distance.

[0065] See also Figure 3 , Figure 3A structural schematic diagram of a data monitoring device for a covered excavation subway foundation provided by an embodiment of the present application. The covered excavation subway foundation comprises a cover plate, a plurality of cross stop plates, a plurality of cover plate beams, intermediate columns, a plurality of female piles, a plurality of surrounding purlins, and a plurality of support pieces. The plurality of cover plate beams are used to support the cover plate. The plurality of female piles and intermediate columns are used to support the plurality of cover plate beams. The plurality of cross stop plates are located between the plurality of female piles and the side walls of the subway foundation. One end of each support piece is connected to an intermediate column, and the other end of each intermediate piece is connected to a surrounding purlin. The plurality of surrounding purlins are used to support the plurality of female piles and cross stop plates in the horizontal direction.

[0066] As shown in Figure 3 The data monitoring device 300 for the covered excavation subway foundation comprises:

[0067] A detection sensor control module 301 is configured to control a plurality of detection sensors located at a plurality of target positions of the intermediate columns, the plurality of cover plate beams, the plurality of support pieces, and / or the plurality of surrounding purlins to rotate at least one target angle, and to control the detection sensors to move to a plurality of target positions.

[0068] A detection data acquisition module 302 is configured to acquire detection data of each detection sensor when the detection sensor rotates at a target angle and / or moves to a target position.

[0069] A structural deformation determination module 303 is configured to determine whether the subway foundation has side wall deformation according to the distance data detected by the distance sensor at each position.

[0070] The data monitoring method for the covered excavation subway foundation provided by the embodiment of the present application can acquire a plurality of detection data through a plurality of detection sensors arranged on the structure of the subway foundation, and determine whether the subway foundation has ground subsidence and / or side wall deformation according to the plurality of detection data, thereby avoiding the problem that the micro structural deformation cannot be effectively detected.

[0071] At the same time, the micro structural deformation is detected, which facilitates the staff to effectively reinforce the structure of the subway foundation in advance, and maximizes the reduction of the structural deformation of the subway foundation.

[0072] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be described herein.

[0073] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. The described device embodiments are merely schematic, for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, or the among different units, can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0074] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.

[0075] In addition, each functional unit in the embodiments of the present application can be integrated in one processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated in one unit.

[0076] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solutions of the present application or the parts of the technical solutions that essentially contribute to the prior art can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0077] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-mentioned embodiments within the technical scope disclosed in the present application, or perform equivalent replacements for some of the technical features thereof. These modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A data monitoring method for a subway foundation pit, characterized in that: The covered excavation subway foundation pit includes a cover plate, a plurality of cross baffles, a plurality of cover plate beams, an intermediate column, a plurality of mother piles, a plurality of surrounding purlins, and a plurality of supporting members. The plurality of cover plate beams are used to support the cover plate. The plurality of mother piles and the intermediate columns are used to support the plurality of cover plate beams. The plurality of cross baffles are located between the plurality of mother piles and the side walls of the subway foundation pit. One end of each supporting member is connected to the intermediate column, and the other end of each intermediate member is connected to a surrounding purlin. The plurality of surrounding purlins are used to horizontally support the plurality of mother piles and the cross baffles. The method comprises: Controlling a plurality of detection sensors located at a plurality of target positions of an intermediate column, a plurality of cover beams, a plurality of support members, and / or a plurality of surrounding purlins to rotate at least one target angle, and controlling the detection sensors to move to the plurality of target positions; When each detection sensor rotates to a target angle and / or moves to a target position, detection data of the detection sensor is acquired; Determine whether there is ground settlement and / or side wall deformation in the subway foundation pit based on multiple test data; The multiple detection sensors are multiple distance sensors or multiple image sensors; Use the following steps to determine whether there is surface settlement in the subway foundation pit: For each image sensor, determining whether a position corresponding to a target angle at which the image sensor captures the plurality of first detection position images is the ground surface; For each image sensor, if the location corresponding to the target angle at which the image sensor captures the plurality of first detection position images is the ground, determining a first distance value between the image sensor and the first detection position based on the plurality of first detection position images captured by the image sensor, the first distance value being the height of the image sensor when the first target image was captured, the first target image being the first detection position image having the largest grayscale contrast value among the plurality of first detection position images; It is determined whether there is surface subsidence at the first detection position according to the first distance value and a standard distance value between the first detection position corresponding to the image sensor.

2. The method according to claim 1, characterized in that Multiple vibration detectors are installed on the middle column, multiple mother piles, multiple purlins and multiple supports. The method further comprises: Acquiring a plurality of foundation pit vibration data detected by a plurality of vibration detectors; Based on multiple foundation pit vibration data, determine whether there is excessive vibration problem in subway foundation pit operations.

3. The method according to claim 1, characterized in that in, Obtain detection data for each image sensor by following these steps: Controlling the image sensor to move to a target angle; The image sensor is controlled to move along the horizontal direction or vertical direction corresponding to the target angle, and the image sensor is controlled to capture a first detection position image every time it moves a preset distance. The multiple first position detection images captured by the image sensor are detection data of the image sensor.

4. The method according to claim 3, characterized in that The step of determining a first distance value between each image sensor and the first detection position according to a plurality of first detection position images captured by each image sensor includes: For each first position detection image, obtaining a first position detection grayscale image corresponding to the first position detection image based on the first position detection image; For each first position detection image, obtaining the grayscale values ​​of a plurality of pixel points in a grayscale value extraction row in the first position detection grayscale image; For each first position detection image, calculating a grayscale contrast value of the first position detection image according to the grayscale values ​​of the plurality of pixels; Calculating, according to the grayscale contrast values ​​of the plurality of first position detection images, a maximum grayscale contrast value of the plurality of first position detection images among the plurality of grayscale contrast values ​​of the plurality of first position detection images; According to the first position detection image corresponding to the maximum grayscale contrast value, a first distance value between the image sensor and the first detection position when the first position detection image is captured is determined.

5. The method according to claim 4, characterized in that For each first position detection image, the step of calculating the grayscale contrast value of the first position detection image according to the grayscale values ​​of the plurality of pixels includes: For each first position detection image, the step of calculating the grayscale contrast value of each first position detection image according to the grayscale values ​​of the plurality of pixels includes: For each first position detection image, obtaining the highest grayscale value and the lowest grayscale value among the grayscale values ​​of the plurality of pixel points; For each first position detection image, calculating a difference between the highest grayscale value and the lowest grayscale value of the first position detection image; For each first position detection image, the difference is determined as the grayscale contrast value of the first position detection image.

6. The method according to claim 3, characterized in that Obtain the detection data of each distance sensor through the following steps: Control the distance sensor to rotate to a target angle; The distance sensor is controlled to move along the horizontal direction or the vertical direction corresponding to the target angle, and the distance sensor is controlled to obtain distance measurement data every time it moves a preset distance.

7. The method according to claim 3, characterized in that A water level detector is provided at the bottom of the subway foundation pit. The method further comprises: Determining whether the data of the water level detector is zero; If the data of the water level detector is not zero, it is determined to use an image sensor to detect whether there is surface settlement of the subway foundation pit.

8. The method according to claim 6, characterized in that Use the following steps to determine whether there is surface settlement in the subway foundation pit: For each distance sensor, control the distance sensor to rotate to a vertical direction; For each distance sensor, control the distance sensor to move in a horizontal direction, and control the distance sensor to obtain distance measurement data every time it moves a preset distance; For each distance sensor, whether there is surface settlement in the subway foundation pit is determined based on the distance data detected by the distance sensor at each position.

9. The method according to claim 6, characterized in that Use the following steps to determine whether there is side wall deformation in the subway foundation pit: For each distance sensor, control the distance sensor to rotate to a horizontal direction; For each distance sensor, control the distance sensor to move in a horizontal direction and / or a vertical direction, and control the distance sensor to obtain distance measurement data every time it moves a preset distance; For each distance sensor, whether there is side wall deformation in the subway foundation pit is determined based on the distance data detected by the distance sensor at each position.

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