CN113739752A - Tunnel clearance convergence automatic monitoring method and device and electronic equipment - Google Patents
Tunnel clearance convergence automatic monitoring method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the disclosure provides a method, a device and electronic equipment for automatically monitoring tunnel clearance convergence, which belong to the technical field of data processing, and the method comprises the following steps: continuously arranging a plurality of gauges for monitoring tunnel displacement on the cross section of the tunnel; acquiring displacement data and temperature data of the position of each measurer based on a three-axis accelerometer and a temperature sensor contained in each measurer; based on the temperature data, carrying out data correction on the displacement data to form a corrected displacement data array; and automatically monitoring the condition of the convergence of the tunnel headroom based on the displacement data array. Through the processing scheme disclosed by the invention, the tunnel clearance convergence data can be automatically acquired.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to an automatic monitoring method and apparatus for tunnel headroom convergence, and an electronic device.
Background
With the rapid development and construction of Chinese high-speed railways, more and more channel railway tunnels are provided for trains to transport and run. In the mountainous area of railway crossing, because the traction capacity is limited and the maximum slope requirement is less than 24%, the elevation obstacle needs to be overcome, and the tunnel crossing is a reasonable choice for excavating the mountainous area and has the functions of shortening the line, reducing the gradient, improving the operation condition and improving the traction capacity. The construction of the long tunnel and the high-risk tunnel has the potential safety hazard that causes high attention to construction design, and the problem that tunnel workers are most concerned about when effective management and technical measures are adopted to avoid accidents.
The convergence of tunnel clearance is always an important item in tunnel measurement, and the technical specification of railway tunnel monitoring measurement (Q/CR 9218-2015) is 4.1.4 regulations: monitoring and measuring work should be carried out in time along with the construction process, measuring points should be buried in time, initial data are read within 2 hours after supporting, and monitoring items and contents should be adjusted in time according to the field conditions. Meanwhile, the technical regulation also clearly specifies the most important measurement items for monitoring and measuring, wherein the tunnel vault subsidence, clearance convergence and surface subsidence are 3 of the measurement items. At present, the deformation monitoring of the tunnel structure is mainly monitored by adopting a conventional manual measurement method, and the current main instruments applied to monitoring and measuring comprise: level, total station, steel hang chi, convergence gauge and be applicable to different materials pressure cell, strain stress meter etc.. The manual observation task is heavy, the monitoring frequency is limited, the efficiency is low, the operation time is limited, and the multi-index, all-weather and real-time monitoring work cannot be realized. Along with the rapid rise of the Internet of things and the artificial intelligence AI, continuous and real-time measurement of the tunnel clearance state is realized by using a sensor and a collecting and transmitting device, the IOT platform is accessed to analyze and display the surrounding rock state in real time, the management of the tunnel monitoring and measuring process is strengthened, and the positive effect of reducing the construction safety risk is achieved.
Disclosure of Invention
In view of the above, embodiments of the present disclosure provide an automatic monitoring method, an apparatus and an electronic device for tunnel headroom convergence, so as to at least partially solve the problems in the prior art.
In a first aspect, an embodiment of the present disclosure provides an automatic monitoring method for tunnel headroom convergence, including:
continuously arranging a plurality of gauges for monitoring tunnel displacement on the cross section of the tunnel;
acquiring displacement data and temperature data of the position of each measurer based on a three-axis accelerometer and a temperature sensor contained in each measurer;
based on the temperature data, carrying out data correction on the displacement data to form a corrected displacement data array;
and automatically monitoring the condition of the convergence of the tunnel headroom based on the displacement data array.
According to a specific implementation manner of the embodiment of the present disclosure, the continuously arranging a plurality of measuring instruments for monitoring tunnel displacement on a tunnel cross section includes:
acquiring the length of a tunnel to be monitored;
splitting the length of the tunnel by the minimum unit, and determining the installation number of the measuring devices corresponding to the length of the tunnel;
and installing the measuring devices which determine the required installation in the tunnel in a serial mode.
According to a specific implementation manner of the embodiment of the present disclosure, the continuously arranging a plurality of measuring instruments for monitoring tunnel displacement on a tunnel cross section includes:
judging whether the number of the continuously connected measuring devices exceeds a preset threshold value or not;
if yes, a repeater is arranged for the measurer, so that the repeater can provide an expanded differential signal for the signal of the measurer, and the transmission distance of the signal of the measurer is prolonged.
According to a specific implementation manner of the embodiment of the present disclosure, the acquiring displacement data and temperature data of the position of each measurer based on the three-axis accelerometer and the temperature sensor included in each measurer includes:
reading a space displacement change value generated by a triaxial accelerometer on each measurer according to a preset period;
and forming tunnel position coordinates corresponding to the space displacement variation values according to the difference of the serial positions of the measuring devices.
According to a specific implementation manner of the embodiment of the present disclosure, the acquiring displacement data and temperature data of the position of each measurer based on the three-axis accelerometer and the temperature sensor included in each measurer further includes:
reading a temperature measurement value generated by a temperature sensor on each measurer according to a preset period;
and forming a temperature value sequence corresponding to the position coordinates of the tunnel according to the different serial positions of the measurer.
According to a specific implementation manner of the embodiment of the present disclosure, the performing data correction on the displacement data based on the temperature data to form a corrected displacement data array includes:
acquiring a temperature value corresponding to the displacement data;
and performing data correction on the displacement data based on the correction coefficient corresponding to the temperature value.
According to a specific implementation manner of the embodiment of the present disclosure, the automatically monitoring the tunnel headroom convergence condition based on the displacement data array includes:
forming a space coordinate system corresponding to the tunnel based on the displacement data array;
calculating a spatial displacement value corresponding to the spatial displacement data generated by each measurer based on the spatial coordinate system;
and taking the spatial displacement value as monitoring data to perform real-time monitoring.
In a second aspect, an embodiment of the present disclosure provides an apparatus for automatically monitoring tunnel headroom convergence, including:
the device comprises a setting module, a monitoring module and a control module, wherein the setting module is used for continuously arranging a plurality of measurers for monitoring tunnel displacement on the cross section of a tunnel;
the acquisition module is used for acquiring displacement data and temperature data of the position of each measurer based on the triaxial accelerometer and the temperature sensor contained in each measurer;
the correction module is used for carrying out data correction on the displacement data based on the temperature data to form a corrected displacement data array;
and the monitoring module is used for automatically monitoring the tunnel clearance convergence condition based on the displacement data array.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, where the electronic device includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for automatic monitoring of tunnel headroom convergence in any of the implementations of the first aspect or the first aspect.
In a fourth aspect, the disclosed embodiments also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the automatic monitoring method for tunnel headroom convergence in the first aspect or any implementation manner of the first aspect.
In a fifth aspect, the present disclosure also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, which, when executed by a computer, cause the computer to execute the automatic monitoring method for tunnel headroom convergence in the foregoing first aspect or any implementation manner of the first aspect.
The tunnel clearance convergence automatic monitoring method scheme in the embodiment of the disclosure comprises the steps of continuously arranging a plurality of measuring devices for monitoring tunnel displacement on the cross section of a tunnel; acquiring displacement data and temperature data of the position of each measurer based on a three-axis accelerometer and a temperature sensor contained in each measurer; based on the temperature data, carrying out data correction on the displacement data to form a corrected displacement data array; and automatically monitoring the condition of the convergence of the tunnel headroom based on the displacement data array. By the processing scheme, the efficiency of the automatic monitoring method for tunnel clearance convergence is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an automatic monitoring method for tunnel headroom convergence according to an embodiment of the present disclosure;
fig. 2 is a flowchart of another automatic monitoring method for tunnel headroom convergence according to an embodiment of the present disclosure;
fig. 3 is a flowchart of another automatic monitoring method for tunnel headroom convergence according to an embodiment of the present disclosure;
fig. 4 is a flowchart of another automatic monitoring method for tunnel headroom convergence according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an apparatus for automatically monitoring convergence of tunnel headroom according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the appended claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the disclosure, one skilled in the art should appreciate that one aspect described herein may be implemented independently of any other aspects and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. Additionally, such an apparatus may be implemented and/or such a method may be practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present disclosure, and the drawings only show the components related to the present disclosure rather than the number, shape and size of the components in actual implementation, and the type, amount and ratio of the components in actual implementation may be changed arbitrarily, and the layout of the components may be more complicated.
In addition, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects may be practiced without these specific details.
The embodiment of the disclosure provides an automatic monitoring method for tunnel clearance convergence. The automatic tunnel headroom convergence monitoring method provided by the embodiment can be executed by a computing device, which can be implemented as software or implemented as a combination of software and hardware, and can be integrally arranged in a server, a client, and the like.
Referring to fig. 1, an automatic monitoring method for tunnel headroom convergence in an embodiment of the present disclosure may include the following steps:
and S101, continuously arranging a plurality of measuring devices for monitoring tunnel displacement on the cross section of the tunnel.
At present, the deformation monitoring of the tunnel structure is mainly monitored by adopting a conventional manual measurement method, and the current main instruments applied to monitoring and measuring comprise: level, total station, steel hang chi, convergence gauge and be applicable to different materials pressure cell, strain stress meter etc.. The manual observation task is heavy, the monitoring frequency is limited, the efficiency is low, the operation time is limited, and the multi-index, all-weather and real-time monitoring work cannot be realized.
The measuring instruments related in most of the prior patents are laser distance meters, total stations, laser phase distance meters and the like, the arrangement measuring points are all discontinuously arranged, and the arc crown sinking, the earth surface sinking and the peripheral displacement are measured, the monitoring frequency is 1-2 times per day, and each (5-50) meters of cross section is obtained. The railway tunnel monitoring and measuring technical regulation (Q/CR 9218-2015) stipulates that: the testing precision of the monitoring and measuring system is required to meet the design requirement. The test precision of vault subsidence, clearance change, surface subsidence, longitudinal displacement and tunnel bottom uplift can be 0.5 mm-1 mm, the test precision of the displacement in the surrounding rock can be 0.1mm, and the test precision of the blasting vibration speed can be 1 mm/s. The test precision of other monitoring measurement items is determined by combining the precision of the components.
Different with the scheme among the prior art, the scheme of this application then sets up a plurality of measuring holes in succession on the cross section of tunnel, monitors through the mode that sets up the caliber on the measuring hole.
S102, based on the three-axis accelerometer and the temperature sensor contained in each measurer, obtaining displacement data and temperature data of the position of each measurer.
In order to facilitate the acquisition of data in the measurer, correspondingly, a three-axis accelerometer and a temperature sensor are arranged in each measurer to acquire displacement data and temperature data of the position of each measurer. In this way, the data in the tunnel can be effectively monitored.
Specifically, a spatial displacement variation value generated by a triaxial accelerometer on each measurer can be read according to a preset period; and forming tunnel position coordinates corresponding to the space displacement variation values according to the difference of the serial positions of the measuring devices. Reading a temperature measurement value generated by a temperature sensor on each measurer according to a preset period; and forming a temperature value sequence corresponding to the position coordinates of the tunnel according to the different serial positions of the measurer.
And S103, performing data correction on the displacement data based on the temperature data to form a corrected displacement data array.
Because the temperature at different measuring points is different, the displacement data generated by measurement is different, therefore, the measured displacement data can be corrected according to different temperature values, a displacement data array is formed by using the corrected data, and the displacement data of the tunnel measuring points is further determined.
And S104, automatically monitoring the tunnel clearance convergence condition based on the displacement data array.
Specifically, a spatial coordinate system corresponding to the tunnel may be formed based on the displacement data array; calculating a spatial displacement value corresponding to the spatial displacement data generated by each measurer based on the spatial coordinate system; and taking the spatial displacement value as monitoring data to perform real-time monitoring.
Through the scheme in the embodiment, the displacement data in the tunnel can be monitored through the plurality of the set measuring points, so that the accuracy of measuring the tunnel clearance convergence data is improved.
Referring to fig. 2, according to a specific implementation manner of the embodiment of the present disclosure, the continuously arranging a plurality of measuring instruments for monitoring tunnel displacement on a tunnel cross section includes:
s201, acquiring the length of a tunnel to be monitored;
s202, performing minimum unit splitting on the length of the tunnel, and determining the installation number of the measuring devices corresponding to the length of the tunnel;
and S203, installing the measuring devices which are determined to be required to be installed in the tunnel in a serial mode.
Referring to fig. 3, according to a specific implementation manner of the embodiment of the present disclosure, the continuously arranging a plurality of measuring instruments for monitoring tunnel displacement on a tunnel cross section includes:
s301, judging whether the number of the continuously connected measuring devices exceeds a preset threshold value or not;
and S302, if yes, setting a repeater for the measurer so as to provide an expanded differential signal for the signal of the measurer through the repeater and prolong the transmission distance of the signal of the measurer.
Referring to fig. 4, according to a specific implementation manner of the embodiment of the present disclosure, the acquiring displacement data and temperature data of the position of each measurer based on the three-axis accelerometer and the temperature sensor included in each measurer includes:
s401, reading a spatial displacement change value generated by a triaxial accelerometer on each measurer according to a preset period;
and S402, forming tunnel position coordinates corresponding to the space displacement variation values according to the different serial positions of the measuring devices.
According to a specific implementation manner of the embodiment of the present disclosure, the acquiring displacement data and temperature data of the position of each measurer based on the three-axis accelerometer and the temperature sensor included in each measurer further includes: reading a temperature measurement value generated by a temperature sensor on each measurer according to a preset period; and forming a temperature value sequence corresponding to the position coordinates of the tunnel according to the different serial positions of the measurer.
According to a specific implementation manner of the embodiment of the present disclosure, the performing data correction on the displacement data based on the temperature data to form a corrected displacement data array includes: acquiring a temperature value corresponding to the displacement data; and performing data correction on the displacement data based on the correction coefficient corresponding to the temperature value.
According to a specific implementation manner of the embodiment of the present disclosure, the automatically monitoring the tunnel headroom convergence condition based on the displacement data array includes: forming a space coordinate system corresponding to the tunnel based on the displacement data array; calculating a spatial displacement value corresponding to the spatial displacement data generated by each measurer based on the spatial coordinate system; and taking the spatial displacement value as monitoring data to perform real-time monitoring.
Corresponding to the above embodiment, referring to fig. 5, an embodiment of the present disclosure further provides an automatic monitoring method and apparatus 50 for tunnel headroom convergence, including:
the tunnel displacement monitoring system comprises a setting module 501, a monitoring module and a monitoring module, wherein the setting module is used for continuously arranging a plurality of measuring devices for monitoring tunnel displacement on the cross section of a tunnel;
an obtaining module 502, configured to obtain displacement data and temperature data of a position where each measurer is located based on a three-axis accelerometer and a temperature sensor included in each measurer;
a correction module 503, configured to perform data correction on the displacement data based on the temperature data, so as to form a corrected displacement data array;
a monitoring module 504, configured to automatically monitor the tunnel headroom convergence condition based on the displacement data array.
For parts not described in detail in this embodiment, reference is made to the contents described in the above method embodiments, which are not described again here.
Referring to fig. 6, an embodiment of the present disclosure also provides an electronic device 60, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for automatic monitoring of tunnel headroom convergence in the above method embodiments.
The disclosed embodiments also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the tunnel headroom convergence automatic monitoring method in the aforementioned method embodiments.
The disclosed embodiments also provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the tunnel headroom convergence automatic monitoring method in the aforementioned method embodiments.
Referring now to FIG. 6, a schematic diagram of an electronic device 60 suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, the electronic device 60 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 60 are also stored. The processing device 601, the ROM602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 60 to communicate with other devices wirelessly or by wire to exchange data. While the figures illustrate an electronic device 60 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising the at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects the internet protocol addresses from the at least two internet protocol addresses and returns the internet protocol addresses; receiving an internet protocol address returned by the node evaluation equipment; wherein the obtained internet protocol address indicates an edge node in the content distribution network.
Alternatively, the computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from the at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.
The above description is only for the specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present disclosure should be covered within the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
Claims (10)
1. An automatic monitoring method for tunnel clearance convergence is characterized by comprising the following steps:
continuously arranging a plurality of gauges for monitoring tunnel displacement on the cross section of the tunnel;
acquiring displacement data and temperature data of the position of each measurer based on a three-axis accelerometer and a temperature sensor contained in each measurer;
based on the temperature data, carrying out data correction on the displacement data to form a corrected displacement data array;
and automatically monitoring the condition of the convergence of the tunnel headroom based on the displacement data array.
2. The method as claimed in claim 1, wherein the continuous arrangement of a plurality of measuring devices for monitoring the displacement of the tunnel on the tunnel cross section comprises:
acquiring the length of a tunnel to be monitored;
splitting the length of the tunnel by the minimum unit, and determining the installation number of the measuring devices corresponding to the length of the tunnel;
and installing the measuring devices which determine the required installation in the tunnel in a serial mode.
3. The method as claimed in claim 2, wherein the continuous arrangement of a plurality of measuring devices for monitoring the displacement of the tunnel on the tunnel cross section comprises:
judging whether the number of the continuously connected measuring devices exceeds a preset threshold value or not;
if yes, a repeater is arranged for the measurer, so that the repeater can provide an expanded differential signal for the signal of the measurer, and the transmission distance of the signal of the measurer is prolonged.
4. The method of claim 3, wherein the obtaining of the displacement data and the temperature data of the position of each measurer based on the three-axis accelerometer and the temperature sensor included in each measurer comprises:
reading a space displacement change value generated by a triaxial accelerometer on each measurer according to a preset period;
and forming tunnel position coordinates corresponding to the space displacement variation values according to the difference of the serial positions of the measuring devices.
5. The method of claim 4, wherein the obtaining of the displacement data and the temperature data of the location of each measurer based on the three-axis accelerometer and the temperature sensor included in each measurer further comprises:
reading a temperature measurement value generated by a temperature sensor on each measurer according to a preset period;
and forming a temperature value sequence corresponding to the position coordinates of the tunnel according to the different serial positions of the measurer.
6. The method of claim 1, wherein the data correcting the displacement data based on the temperature data to form a corrected displacement data array comprises:
acquiring a temperature value corresponding to the displacement data;
and performing data correction on the displacement data based on the correction coefficient corresponding to the temperature value.
7. The method of claim 1, wherein automatically monitoring convergence of the tunnel headroom based on the array of displacement data comprises:
forming a space coordinate system corresponding to the tunnel based on the displacement data array;
calculating a spatial displacement value corresponding to the spatial displacement data generated by each measurer based on the spatial coordinate system;
and taking the spatial displacement value as monitoring data to perform real-time monitoring.
8. An automatic monitoring method device for tunnel clearance convergence is characterized by comprising the following steps:
the device comprises a setting module, a monitoring module and a control module, wherein the setting module is used for continuously arranging a plurality of measurers for monitoring tunnel displacement on the cross section of a tunnel;
the acquisition module is used for acquiring displacement data and temperature data of the position of each measurer based on the triaxial accelerometer and the temperature sensor contained in each measurer;
the correction module is used for carrying out data correction on the displacement data based on the temperature data to form a corrected displacement data array;
and the monitoring module is used for automatically monitoring the tunnel clearance convergence condition based on the displacement data array.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the preceding claims 1-7.
10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of any one of the preceding claims 1-7.
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