A high-precision detection method, system and device for deformation of tunnel engineering

Abstract

The present invention relates to the technical field of tunnel deformation monitoring, and specifically to a high-precision deformation detection method, system, and device for tunnel engineering. The method obtains the emission signal intensity sequence of the infrared laser transmitter currently emitted and the reflection signal intensity sequence corresponding to the prism; obtains the dust coverage degree based on the change relationship between the emission signal intensity sequence and the reflection signal intensity sequence and the initial position of the target prism; obtains the geological deformation degree based on the initial position difference, torsion angle difference, and distance between the target prism and other prisms in its local area; obtains the actual deformation degree of the local area where the target prism is located at the current moment based on the dust coverage degree and the geological deformation degree, and detects the deformation of the tunnel engineering. The present invention obtains the actual deformation degree of the local area where each target prism is located in real time, which is conducive to accurately judging the actual deformation area in the tunnel and effectively avoiding the interference of dust on the prism surface on deformation monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel deformation monitoring, and in particular to a high-precision deformation detection method, system and device for tunnel engineering. Background Art

[0002] As a core component of underground structures, tunnel projects are subject to multiple factors, including surrounding rock pressure, groundwater infiltration, and construction disturbances, which can easily cause structural displacement, convergence, and even instability and collapse. Deformation monitoring is a key means of ensuring safe tunnel operation and maintenance. Its core goal is to capture millimeter-level deformations in real time and provide timely warnings of potential risks. Total stations, due to their cost-effectiveness and accuracy, have become the preferred solution for long-term monitoring of key tunnel areas (such as spandrels and arch bases). They illuminate a reflective prism with an infrared laser, calculate the prism angle change based on the echo signal, and then invert the local torsional deformation of the tunnel.

[0003] However, in actual situations, the high concentration of dust generated during tunnel construction and operation will accumulate on the mirror surface of the prism, resulting in a decrease in the infrared laser reflectivity of the prism, attenuation of the echo signal intensity, and distortion of the ranging and angle calculations. As a result, it is impossible to accurately monitor the deformation of key areas of the tunnel. It is easy to misjudge pseudo-changes in dust as deformation, covering up the real geological disaster signals, and causing frequent false alarms that trigger unnecessary engineering inspections and maintenance. Summary of the Invention

[0004] In order to solve the technical problem of inaccurate deformation monitoring of key tunnel areas due to high concentrations of dust generated during tunnel construction and operation, the present invention aims to provide a high-precision deformation detection method, system and device for tunnel engineering. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present invention provides a method for high-precision deformation detection of a tunnel engineering project, the method comprising the following steps:

[0006] Obtain the intensity sequence of the infrared laser transmitter's current transmission signal and the intensity sequence of the reflected signal corresponding to each prism in the tunnel's key area; obtain the initial position of each prism and the torsion angle at the current moment;

[0007] The target prism is obtained based on the twist angle of each prism, and the dust coverage of each target prism at the current moment is obtained based on the changing relationship between the transmitted signal intensity sequence and the reflected signal intensity sequence corresponding to each target prism, as well as the initial position of each target prism;

[0008] Obtaining the degree of geological deformation in the local area where each target prism is located at the current moment based on the initial position difference, torsion angle difference, and distance between each target prism and each other prism in the local area;

[0009] According to the dust coverage of each target prism and the geological deformation degree of the local area where it is located, the actual deformation degree of the local area where each target prism is located at the current moment is obtained;

[0010] The deformation of the tunnel project is detected based on the actual deformation degree.

[0011] Furthermore, the method for obtaining the dust coverage degree is:

[0012] Obtaining the first dust level of each target prism at the current moment based on a change in the relationship between the transmitted signal intensity sequence and the elements at the same position in the reflected signal intensity sequence corresponding to each target prism;

[0013] Obtaining a second dust level of each target prism according to the degree to which the mirror surface of each target prism is horizontally upward at the initial position;

[0014] The first dust level and the second dust level of each target prism are added and normalized, and the result is used as the dust coverage level of each target prism at the current moment.

[0015] Furthermore, the method for obtaining the first dust level is:

[0016] For any target prism, the elements in the emission signal intensity sequence and the reflection signal intensity sequence corresponding to the target prism are matched one-to-one according to the same position in the sequence to obtain multiple matching pairs;

[0017] For any matching pair, the ratio of the reflected signal intensity to the transmitted signal intensity in the matching pair is used as the first characteristic value of the matching pair;

[0018] Obtain the difference between the first eigenvalue of each matching pair and its previous adjacent matching pair, and use it as the feature difference;

[0019] The result of adding up all feature differences and performing normalization is used as the first dust level of the target prism at the current moment.

[0020] Furthermore, the method for obtaining the second dust level is:

[0021] For any target prism, the angle between the mirror surface of the target prism at the initial position and the horizontal line is taken as the first angle of the target prism;

[0022] A result of normalizing the cosine value of the first angle is used as the second dust level of the target prism.

[0023] Furthermore, the method for obtaining the degree of geological deformation is:

[0024] For any target prism, any other prism in the local area of ​​the target prism is used as a reference prism;

[0025] taking the difference between the first included angles of the target prism and the reference prism as the first difference;

[0026] The difference between the torsion angles of the target prism and the reference prism at the current moment is used as the second difference;

[0027] The distance between the target prism and the reference prism is used as the first distance;

[0028] The product of the first difference, the inverse of the first distance and the negative correlation result of the second difference is used as the degree of deformation consistency between the target prism and the reference prism at the current moment;

[0029] The result of adding the deformation consistency degree of the target prism and each other prism in its local area at the current moment and then normalizing it is used as the geological deformation degree of the local area where the target prism is located at the current moment.

[0030] Furthermore, the method for obtaining the true deformation degree is:

[0031] The product of the negative correlation result of the dust coverage degree of each target prism and the geological deformation degree of the local area where it is located is normalized as the actual deformation degree of the local area where each target prism is located.

[0032] Furthermore, the method for detecting deformation of a tunnel project based on the true deformation degree is:

[0033] When the actual deformation degree is greater than the preset deformation degree threshold, the local area corresponding to the target prism is deformed at the current moment;

[0034] When the actual deformation degree is less than or equal to the preset deformation degree threshold, there is no deformation in the local area corresponding to the target prism at the current moment.

[0035] Furthermore, the target prism is obtained by:

[0036] When the twist angle is greater than a preset twist angle threshold, the corresponding prism is used as a target prism.

[0037] In a second aspect, another embodiment of the present invention provides a high-precision deformation detection system for a tunnel engineering project, the system comprising:

[0038] The data acquisition module is used to obtain the intensity sequence of the emission signal of the infrared laser transmitter and the intensity sequence of the reflection signal corresponding to each prism in the key area of ​​the tunnel; obtain the initial position of each prism and the torsion angle at the current moment;

[0039] A dust coverage acquisition module is used to acquire the target prism based on the torsion angle of each prism, and to acquire the dust coverage of each target prism at the current moment based on the changing relationship between the transmitted signal intensity sequence and the reflected signal intensity sequence corresponding to each target prism, as well as the initial position of each target prism;

[0040] A geological deformation degree acquisition module is used to obtain the geological deformation degree of the local area where each target prism is located at the current moment based on the initial position difference, torsion angle difference and distance between each target prism and each other prism in the local area at the current moment;

[0041] A true deformation degree acquisition module is used to obtain the true deformation degree of the local area where each target prism is located at the current moment based on the dust coverage degree of each target prism and the geological deformation degree of the local area where the prism is located;

[0042] The detection module is used to detect the deformation of the tunnel project based on the actual deformation degree.

[0043] In the third aspect, another embodiment of the present invention provides a high-precision deformation detection device for tunnel engineering, which includes: a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above methods are implemented.

[0044] The present invention has the following beneficial effects:

[0045] The present invention first obtains the target prism based on the torsion angle of each prism, effectively improving the efficiency of subsequently obtaining the tunnel deformation area; then, according to the change relationship between the emission signal intensity sequence and the reflection signal intensity sequence corresponding to each target prism, as well as the initial position of each target prism, the dust coverage degree of each target prism at the current moment is obtained, accurately reflecting the degree of dust interference of each target prism at the current moment, which is conducive to a more accurate subsequent analysis of whether there is deformation in the area where each target prism is located; further, according to the initial position difference between each target prism and each other prism in its local area, the torsion angle difference and the distance at the current moment, the geological deformation degree of the local area where each target prism is located at the current moment is obtained, and the initial position difference between each target prism and each other prism in the local area is obtained. The method further reflects the deformation possibility of the local area where each target prism is located at the current moment; in order to avoid dust interference, the deformation of the local area where each target prism is located at the current moment is analyzed more accurately, and then the actual deformation degree of the local area where each target prism is located at the current moment is obtained according to the dust coverage degree of each target prism and the geological deformation degree of the local area where it is located, accurately reflecting the actual deformation of the local area where each target prism is located at the current moment, and then accurately detecting the deformation of the tunnel project in real time based on the actual deformation degree, effectively avoiding the interference of dust on the monitoring of the tunnel deformation area, improving the accuracy of detecting the tunnel deformation area, and reducing the situation where frequent false alarms trigger unnecessary engineering inspections and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0047] Figure 1 A schematic flow chart of a method for high-precision deformation detection of a tunnel engineering project provided by one embodiment of the present invention;

[0048] Figure 2 A flow chart of a method for obtaining dust coverage provided by one embodiment of the present invention;

[0049] Figure 3 A schematic diagram of a first angle provided by an embodiment of the present invention;

[0050] Figure 4 A structural diagram of a high-precision deformation detection system for tunnel engineering provided by one embodiment of the present invention;

[0051] Figure 5A schematic diagram of a computer device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0052] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effectiveness of a high-precision tunnel deformation detection method, system, and device proposed in accordance with the present invention. In the following description, references to different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0053] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0054] The specific scheme of the high-precision deformation detection method, system and device for tunnel engineering provided by the present invention is described in detail below with reference to the accompanying drawings. Example 1

[0055] This invention proposes a high-precision detection method for deformation of tunnel engineering. Figure 1 , which shows a schematic flow chart of a method for high-precision deformation detection of a tunnel engineering project provided by one embodiment of the present invention, the method comprising the following steps:

[0056] Step S1: Obtain the emission signal intensity sequence of the infrared laser transmitter and the reflection signal intensity sequence corresponding to each prism in the key area of ​​the tunnel; obtain the initial position of each prism and the torsion angle at the current moment.

[0057] Specifically, prisms are installed in key areas of the tunnel. A local area is defined at a specified distance within the same key area of ​​the tunnel, and a preset number of prisms are evenly distributed within each local area. In this embodiment, the specified distance is 5 meters, the local area is a square area with a side length of 1 meter, and the preset number is 5. Implementers can set the specified distance, local area, and preset number based on actual conditions, and these are not limited here. A total station is also installed in a safe and stable location, so that one total station corresponds to multiple prisms. The installation location of the total station can be set based on actual conditions and is not limited here.

[0058] It should be noted that the total station contains an infrared laser transmitter and an infrared laser receiver. The infrared laser transmitter is used to emit infrared laser light, and the infrared laser receiver is used to receive the reflected signal from the prism. In this embodiment, the infrared laser transmitter is configured to emit infrared laser light every 10 minutes. The duration between two consecutive infrared laser transmissions can be adjusted by the user based on actual conditions, and this is not limited here. The power intensity of each infrared laser transmission varies from low to high. In this embodiment, the number of power changes is set to 20, the duration of the signal emitted at each power level is 0.5 seconds, and the transition time between two adjacent power levels is 0.2 seconds. The number of power changes, the duration of the signal emitted at each power level, and the transition time between two adjacent power levels can be adjusted by the user based on actual conditions, and this is not limited here. Simultaneously, the infrared laser receiver obtains the reflected signal intensity of each prism at each power level. Furthermore, the total station can obtain the torsion angle of each prism in real time. The method for obtaining the torsion angle is well known and will not be described in detail here.

[0059] It should be noted that this embodiment uses a total station and the prism corresponding to the total station as an example for analysis, and all subsequent prisms are defaulted to the corresponding total station, and all total stations that appear are defaulted to the total station.

[0060] To monitor deformation in critical tunnel areas at the current moment, this embodiment obtains the intensity sequence of the transmitted signal from the total station's infrared laser transmitter and the intensity sequence of the reflected signal corresponding to each prism within the critical tunnel area. The number of elements in the transmitted signal intensity sequence and the reflected signal intensity sequence must be identical. The initial position and current torsion angle of each prism are also obtained, enabling more accurate subsequent determination of deformation in the critical tunnel area.

[0061] Step S2: Obtain the target prism based on the torsion angle of each prism, and obtain the dust coverage degree of each target prism at the current moment according to the changing relationship between the emission signal intensity sequence and the reflection signal intensity sequence corresponding to each target prism, as well as the initial position of each target prism.

[0062] Specifically, when the torsion angle of a certain prism is larger, it means that the position of the prism is more likely to change, which indirectly reflects that the area where the prism is located is more likely to be deformed. Therefore, this embodiment first obtains the target prism that may be in the deformation area at the current moment based on the torsion angle of each prism at the current moment. Considering that there is a high concentration of dust in the tunnel environment in actual conditions, dust is easily accumulated on the surface of the prism, which seriously interferes with the accuracy of obtaining the torsion angle. In particular, the uneven adhesion of dust on the surface of the prism may cause the reflected light spot to be distorted or offset, forming a "pseudo-center" and causing a deviation in the torsion angle. The normal area is mistakenly regarded as a deformation area, resulting in a false deformation warning. Therefore, this embodiment needs to analyze the dust accumulation of each target prism.

[0063] It's known that dust on a prism's surface can alter the total internal reflection (TIR) ​​of the prism. For example, dust can absorb infrared laser energy, or the uneven surface caused by dust can scatter the infrared laser at different angles, ultimately causing the reflected signal intensity to attenuate. Because the amount of reflected signal intensity attenuation caused by dust on the prism's surface is limited, the proportion of the prism's reflected signal intensity should increase as the transmitted signal strength increases. For example, when the transmitted signal strength is low, the prism's reflected signal intensity may be only 10%-20% of the transmitted signal strength. As the transmitted signal strength increases, the proportion of the prism's reflected signal intensity also increases, reaching 60%-70% of the transmitted signal strength at high transmitted signal strength. When the prism's surface is free of dust, the prism's reflected signal intensity should maintain a stable proportion of the transmitted signal strength. Furthermore, considering that dust accumulates more easily when the prism's surface is more horizontal, the degree of dust coverage on the prism's surface is related to the prism's initial position.

[0064] Furthermore, this embodiment determines the dust coverage of each target prism at the current moment based on the changing relationship between the transmitted signal strength sequence and the reflected signal strength sequence corresponding to each target prism, as well as the initial position of each target prism. The greater the dust coverage, the less likely the area where the corresponding target prism is located is to deform at the current moment, and the more dust is covering the surface of the corresponding target prism.

[0065] Preferably, in one possible implementation of this embodiment, a method for acquiring a target prism is as follows: in this embodiment, a preset torsion angle threshold is set to 0.5". The implementer may set the value of the preset torsion angle threshold according to actual conditions, and the value is not limited here. When the torsion angle is greater than the preset torsion angle threshold, the corresponding prism is used as the target prism.

[0066] Preferably, in one possible implementation of this embodiment, the method for obtaining the dust coverage degree is as follows: Figure 2 , which shows a flow chart of a method for obtaining dust coverage provided by this embodiment, the method comprising the following steps:

[0067] Step S201: obtaining a first dust level of each target prism at the current moment according to a change in a relationship between a transmitted signal strength sequence and elements at the same position in a reflected signal strength sequence corresponding to each target prism.

[0068] It is known that the attenuation of the reflected signal intensity caused by dust on the prism surface is limited. As the transmitted signal intensity increases, the ratio of the reflected signal intensity to the transmitted signal intensity gradually increases. When there is no dust on the prism surface, the ratio of the reflected signal intensity to the transmitted signal intensity remains stable. Therefore, this embodiment obtains the first dust level of each target prism at the current moment based on the changes in the relationship between the transmitted signal intensity sequence and the elements at the same position in the reflected signal intensity sequence corresponding to each target prism. The greater the first dust level, the more likely it is that dust is present on the surface of the corresponding target prism at the current moment.

[0069] In one possible implementation of this embodiment, the method for obtaining the first dust level is as follows: for any target prism, the elements in the emission signal intensity sequence and the reflection signal intensity sequence corresponding to the target prism are matched one-to-one according to the same position in the sequence to obtain multiple matching pairs; for any matching pair, the ratio of the reflection signal intensity to the emission signal intensity in the matching pair is used as the first eigenvalue of the matching pair; the difference between the first eigenvalue of each matching pair and its previous adjacent matching pair is obtained, and each is used as a feature difference; when the feature differences are larger, it means that dust is more likely to exist on the surface of the target prism at the current moment, and then all feature differences are added and normalized as the result as the first dust level of the target prism at the current moment. This embodiment normalizes the sum of all feature differences using the norm normalization function. It should be noted that since the first matching pair does not have a previous adjacent matching pair, the feature difference of the first matching pair is not obtained.

[0070] At this point, the first dust level of each target prism at the current moment is obtained.

[0071] Step S202: Acquire a second dust level of each target prism according to the degree to which the mirror surface of each target prism is horizontally upward in the initial position.

[0072] When the mirror surface of a target prism is more horizontally upward in the initial position, more dust accumulates on the surface of the target prism. Therefore, this embodiment obtains the second dust level of each target prism based on the degree to which the mirror surface of each target prism is horizontally upward in the initial position. The greater the second dust level, the greater the dust accumulation level of the corresponding target prism.

[0073] In one possible implementation of this embodiment, the second dust level is obtained by: for any target prism, the angle between the mirror surface of the target prism at the initial position and the straight line where the horizontal direction is located is used as the first angle of the target prism; Figure 3 The diagram above is a schematic diagram of the first angle. The smaller the first angle, the greater the dust accumulation on the target prism surface. The first angle ranges from 0° to 180°. The cosine value of the first angle is then normalized to obtain the result of the second dust level of the target prism.

[0074] At this point, the second dust level of each target prism is obtained.

[0075] Step S203: adding the first dust level and the second dust level of each target prism and performing normalization to obtain a result as the dust coverage level of each target prism at the current moment.

[0076] It is known that a greater first dust level indicates a greater likelihood of dust being present on the surface of the corresponding target prism at the current moment; a greater second dust level indicates a greater degree of dust accumulation on the surface of the corresponding target prism. Therefore, this embodiment normalizes the sum of the first and second dust levels for each target prism to obtain the dust coverage level for each target prism at the current moment. This embodiment uses the norm normalization function to normalize the sum of the first and second dust levels.

[0077] At this point, obtaining the dust coverage of each target prism at the current moment is conducive to the subsequent accurate analysis of the actual deformation of the area where each target prism is located.

[0078] Step S3: Obtain the geological deformation degree of the local area where each target prism is located at the current moment based on the initial position difference, torsion angle difference and distance between each target prism and each other prism in the local area at the current moment.

[0079] Specifically, when there is deformation in the area where a certain target prism is located, the closer the prism is to the target prism, the smaller the difference in torsion angle between the target prism and the target prism should be, because the impact of the deformation is similar. In the case where there is a significant difference in the initial position between the target prism and its adjacent prisms, the smaller the difference in torsion angle between the target prism and its adjacent prisms is, the more likely it is that there is deformation in the area where the target prism is located. In addition, the closer the prism is to the target prism, the more reference significance it has. Therefore, this embodiment obtains the degree of geological deformation in the local area where each target prism is located at the current moment based on the initial position difference, torsion angle difference and distance between each target prism and each other prism in its local area at the current moment. The greater the degree of geological deformation, the more likely it is that there is deformation in the local area where the corresponding target prism is located at the current moment.

[0080] Preferably, in one implementation of this embodiment, the method for obtaining the degree of geological deformation is as follows: for any target prism, any other prism in the local area of ​​the target prism is used as a reference prism; the absolute value of the difference between the first angle between the target prism and the reference prism is used as the first difference; the larger the first difference, the greater the initial position difference between the target prism and the reference prism; the absolute value of the difference between the torsion angle of the target prism and the reference prism at the current moment is used as the second difference; the smaller the second difference, the more deformation exists in the area where the target prism is located at the current moment; the Euclidean distance between the target prism and the reference prism is used as the first distance; the smaller the first distance, the more accurate the analysis result. The method for obtaining the Euclidean distance is a well-known technology and will not be described in detail. Then, the product of the first difference, the inverse of the first distance, and the negative correlation result of the second difference is used as the degree of deformation consistency between the target prism and the reference prism at the current moment; the greater the degree of deformation consistency, the more likely the area where the target prism is located is deformed at the current moment. In this embodiment, the opposite number of the second difference is used as the power of an exponential function with a natural constant as the base, and the output result of the exponential function is the negative correlation result of the second difference;

[0081] In order to more accurately analyze the deformation of the local area where the target prism is located, the target prism and the deformation consistency of each other prisms in the local area at the current moment are added together and the result of normalization is used as the geological deformation degree of the local area where the target prism is located at the current moment. Among them, this embodiment normalizes the result of adding the deformation consistency of the target prism and each other prisms in the local area at the current moment through the norm normalization function. It should be noted that in order to process the deformation in time and avoid further expansion of the deformation in the tunnel, this embodiment defaults to the area where each target prism is located as its local area.

[0082] Step S4: according to the dust coverage degree of each target prism and the geological deformation degree of the local area where the target prism is located, the actual deformation degree of the local area where each target prism is located at the current moment is obtained.

[0083] Specifically, it is known that the greater the degree of dust cover, the less likely the target prism will reflect deformation; and the greater the degree of geological deformation, the more likely the local area where the target prism is located is to be deformed. Furthermore, this embodiment obtains the actual deformation degree of each target prism's local area at the current moment based on the degree of dust cover for each target prism and the degree of geological deformation in the local area where it is located. The greater the actual deformation degree, the more likely the local area where the target prism is located is to be deformed at the current moment.

[0084] Preferably, in one possible implementation of this embodiment, the true degree of deformation is obtained by normalizing the product of the negative correlation result of the dust coverage degree of each target prism and the degree of geological deformation in the local area where the prism is located, and using this product as the true degree of deformation in the local area where each target prism is located. This embodiment uses the inverse of the sum of the dust coverage degree and a preset constant as the negative correlation result of the dust coverage degree, where the preset constant is a non-negative number to avoid the denominator being zero. This embodiment normalizes the product of the negative correlation result of the dust coverage degree of each target prism and the degree of geological deformation in the local area where the prism is located using the norm normalization function.

[0085] At this point, the actual deformation degree of the local area where each target prism is located at the current moment is obtained. The modification is that there may be multiple target prisms in the same local area, and this embodiment analyzes all of the multiple target prisms.

[0086] Step S5: Detecting the deformation of the tunnel project based on the actual deformation degree.

[0087] Specifically, it is known that the greater the actual deformation degree, the more likely the local area where the corresponding target prism is located at the current moment is to be deformed. Therefore, this embodiment sets the preset deformation degree threshold to 0.7. The implementer can set the size of the preset deformation degree threshold according to the actual situation, which is not limited here. When the actual deformation degree is greater than the preset deformation degree threshold, it means that the local area where the corresponding target prism is located is deformed at the current moment. At this time, the total station issues an early warning to remind the staff that the local area where the corresponding target prism is located is deformed, which is conducive to the staff to deal with the tunnel deformation in a timely manner and effectively avoid further deterioration of the tunnel deformation. When the actual deformation degree is less than or equal to the preset deformation degree threshold, it means that the local area where the corresponding target prism is located is not deformed at the current moment, and the dust coverage of the corresponding target prism is relatively serious. At this time, the mirror surface of the target prism needs to be cleaned to eliminate the influence of dust on the corresponding target prism.

[0088] At this point, the deformation of the tunnel project can be accurately detected in real time based on the actual deformation degree.

[0089] In summary, this embodiment obtains the emission signal intensity sequence of the infrared laser transmitter's current emission and the reflection signal intensity sequence corresponding to the prism; obtains the dust coverage degree based on the change relationship between the emission signal intensity sequence and the reflection signal intensity sequence and the initial position of the target prism; obtains the geological deformation degree based on the initial position difference, torsion angle difference, and distance between the target prism and other prisms in its local area; obtains the actual deformation degree of the local area where the target prism is located at the current moment based on the dust coverage degree and the geological deformation degree, and detects the deformation of the tunnel project. By obtaining the actual deformation degree of the local area where each target prism is located in real time, the present invention is conducive to accurately determining the actual deformation area in the tunnel and effectively avoiding the interference of dust on the prism surface on deformation monitoring. Example 2

[0090] The present invention also proposes a high-precision deformation detection system for tunnel engineering, please refer to Figure 4 , which shows a structural diagram of a high-precision deformation detection system for a tunnel engineering project provided by an embodiment of the present invention. The system includes: a data acquisition module 10, a dust coverage degree acquisition module 20, a geological deformation degree acquisition module 30, a real deformation degree acquisition module 40 and a detection module 50.

[0091] The data acquisition module 10 is used to obtain the emission signal intensity sequence of the infrared laser transmitter and the reflection signal intensity sequence corresponding to each prism in the key area of ​​the tunnel; and obtain the initial position of each prism and the torsion angle at the current moment.

[0092] The dust coverage degree acquisition module 20 is used to obtain the target prism based on the torsion angle of each prism, and obtain the dust coverage degree of each target prism at the current moment according to the changing relationship between the transmitted signal intensity sequence and the reflected signal intensity sequence corresponding to each target prism, as well as the initial position of each target prism.

[0093] The geological deformation degree acquisition module 30 is used to obtain the geological deformation degree of the local area where each target prism is located at the current moment based on the initial position difference, torsion angle difference and distance between each target prism and each other prism in the local area at the current moment.

[0094] The real deformation degree acquisition module 40 is used to acquire the real deformation degree of the local area where each target prism is located at the current moment according to the dust coverage degree of each target prism and the geological deformation degree of the local area where the prism is located.

[0095] The detection module 50 is used to detect the deformation of the tunnel project based on the actual deformation degree.

[0096] It should be noted that the system provided in the above embodiment is merely illustrative of the division of the aforementioned functional modules. In actual applications, the aforementioned functions can be assigned to different functional modules as needed, i.e., the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above. Furthermore, the high-precision deformation detection system for tunnel engineering and the high-precision deformation detection method for tunnel engineering provided in the above embodiment are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here. Example 3

[0097] The present invention also proposes a high-precision tunnel deformation detection device, comprising a memory and a processor. The memory stores executable program code, and the processor is configured to call and execute the executable program code to implement a high-precision tunnel deformation detection method provided in an embodiment of the present application. The device can be a chip, component, or module. The chip may include a connected processor and memory. The memory is configured to store instructions. When the processor calls and executes the instructions, the chip executes the high-precision tunnel deformation detection method provided in the above embodiment.

[0098] In addition, the present application also protects a computer device, see Figure 5 The computer device includes a memory 401, a processor 402, and a computer program 403 stored in the memory 401 and running on the processor 402, wherein when the processor 402 executes the computer program 403, the computer device can execute any one of the high-precision deformation detection methods for tunnel engineering introduced above. Example 4

[0099] This embodiment also provides a computer-readable storage medium, which stores computer program code. When the computer program code runs on a computer, the computer executes the above-mentioned related method steps to implement a high-precision deformation detection method for a tunnel engineering project provided by the above embodiment. Example 5

[0100] This embodiment also provides a computer program product. When the computer program product is run on a computer, it enables the computer to execute the above-mentioned related steps to implement a high-precision deformation detection method for a tunnel engineering project provided by the above embodiment.

[0101] Among them, the device, computer-readable storage medium, computer program product or chip provided in this embodiment are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0102] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0103] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A high-precision deformation detection method for tunnel engineering, characterized in that: The method comprises the following steps: Obtain the intensity sequence of the infrared laser transmitter's current transmission signal and the intensity sequence of the reflected signal corresponding to each prism in the tunnel's key area; obtain the initial position of each prism and the torsion angle at the current moment; The target prism is obtained based on the torsion angle of each prism, and the dust coverage of each target prism at the current moment is obtained based on the changing relationship between the transmitted signal intensity sequence and the reflected signal intensity sequence corresponding to each target prism, as well as the initial position of each target prism. The target prism is obtained by: when the torsion angle is greater than a preset torsion angle threshold, the corresponding prism is used as the target prism; According to the initial position difference, torsion angle difference and distance between each target prism and each other prism in its local area at the current moment, the degree of geological deformation of the local area where each target prism is located at the current moment is obtained; wherein the method for obtaining the degree of geological deformation is as follows: for any target prism, the angle between the mirror surface of the target prism at the initial position and the straight line where the horizontal direction is located is used as the first angle of the target prism; any other prism in the local area of ​​the target prism is used as a reference prism; the difference between the first angles of the target prism and the reference prism is used as the first difference; the difference between the torsion angles of the target prism and the reference prism at the current moment is used as the second difference; the distance between the target prism and the reference prism is used as the first distance; the product of the first difference, the inverse of the first distance and the negative correlation result of the second difference is used as the degree of deformation consistency between the target prism and the reference prism at the current moment; the result of normalization after adding the degrees of deformation consistency of the target prism and each other prism in its local area at the current moment is used as the degree of geological deformation of the local area where the target prism is located at the current moment; Obtaining the true deformation degree of the local area where each target prism is located at the current moment based on the dust coverage degree of each target prism and the degree of geological deformation of the local area where the prism is located; wherein the true deformation degree is obtained by normalizing the product of the negative correlation result of the dust coverage degree of each target prism and the degree of geological deformation of the local area where the prism is located, and using the result as the true deformation degree of the local area where each target prism is located; The deformation of the tunnel project is detected based on the actual deformation degree.

2. A high-precision deformation detection method for tunnel engineering according to claim 1, characterized in that: The method for obtaining the dust coverage degree is: Obtaining the first dust level of each target prism at the current moment based on a change in the relationship between the transmitted signal intensity sequence and the elements at the same position in the reflected signal intensity sequence corresponding to each target prism; Obtaining a second dust level of each target prism according to the degree to which the mirror surface of each target prism is horizontally upward at the initial position; The first dust level and the second dust level of each target prism are added and normalized, and the result is used as the dust coverage level of each target prism at the current moment.

3. A high-precision deformation detection method for tunnel engineering according to claim 2, characterized in that: The method for obtaining the first dust level is: For any target prism, the elements in the emission signal intensity sequence and the reflection signal intensity sequence corresponding to the target prism are matched one-to-one according to the same position in the sequence to obtain multiple matching pairs; For any matching pair, the ratio of the reflected signal intensity to the transmitted signal intensity in the matching pair is used as the first characteristic value of the matching pair; Obtain the difference between the first eigenvalue of each matching pair and its previous adjacent matching pair, and use it as the feature difference; The result of adding up all feature differences and performing normalization is used as the first dust level of the target prism at the current moment.

4. A high-precision deformation detection method for tunnel engineering according to claim 2, characterized in that: The method for obtaining the second dust level is: For any target prism, a result of normalizing the cosine value of the first included angle of the target prism is used as the second dust level of the target prism.

5. The high-precision deformation detection method for tunnel engineering according to claim 1, characterized in that: The method for detecting deformation of a tunnel project based on the true deformation degree is as follows: When the actual deformation degree is greater than the preset deformation degree threshold, the local area corresponding to the target prism is deformed at the current moment; When the actual deformation degree is less than or equal to the preset deformation degree threshold, there is no deformation in the local area corresponding to the target prism at the current moment.

6. A high-precision deformation detection system for tunnel engineering, characterized in that: The system comprises: The data acquisition module is used to obtain the intensity sequence of the emission signal of the infrared laser transmitter and the intensity sequence of the reflection signal corresponding to each prism in the key area of ​​the tunnel; obtain the initial position of each prism and the torsion angle at the current moment; A dust coverage acquisition module is configured to acquire a target prism based on the torsion angle of each prism and to acquire the dust coverage of each target prism at the current moment based on the relationship between the transmitted signal intensity sequence and the reflected signal intensity sequence corresponding to each target prism, as well as the initial position of each target prism. The target prism is acquired by determining the corresponding prism as the target prism when the torsion angle is greater than a preset torsion angle threshold. A geological deformation degree acquisition module is used to obtain the geological deformation degree of the local area where each target prism is located at the current moment based on the initial position difference, torsion angle difference and distance between each target prism and each other prism in its local area at the current moment; wherein the method for obtaining the geological deformation degree is as follows: for any target prism, the angle between the mirror surface of the target prism at the initial position and the straight line where the horizontal direction is located is used as the first angle of the target prism; any other prism in the local area of ​​the target prism is used as a reference prism; the difference between the first angles of the target prism and the reference prism is used as the first difference; the difference between the torsion angles of the target prism and the reference prism at the current moment is used as the second difference; the distance between the target prism and the reference prism is used as the first distance; the product of the first difference, the reciprocal of the first distance and the negative correlation result of the second difference is used as the deformation consistency degree between the target prism and the reference prism at the current moment; the result of adding the deformation consistency degrees of the target prism and each other prism in the local area at the current moment and performing normalization is used as the geological deformation degree of the local area where the target prism is located at the current moment; A true deformation degree acquisition module is used to obtain the true deformation degree of the local area where each target prism is located at the current moment based on the dust coverage degree of each target prism and the geological deformation degree of the local area where the prism is located. The true deformation degree is obtained by normalizing the product of the negative correlation result of the dust coverage degree of each target prism and the geological deformation degree of the local area where the prism is located as the true deformation degree of the local area where each target prism is located. The detection module is used to detect the deformation of the tunnel project based on the actual deformation degree.

7. A high-precision deformation detection device for tunnel engineering, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When executing the computer program, the processor implements the steps of the method for high-precision deformation detection of a tunnel engineering project as described in any one of claims 1 to 5.

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