Shield synchronous grouting effect detection method and system based on ultra wide band

Abstract

The invention belongs to the technical field of grouting reinforcement, and particularly relates to a shield synchronous grouting effect detection method and system based on an ultra wide band, and the method comprises the steps: obtaining an echo signal obtained after a lining surface is detected by an ultra wide band detection device, and carrying out the preprocessing of the echo signal, comprising the following steps: performing cumulative average processing on received echo signals within a set time range and a frequency range to obtain background estimation signals; subtracting the background estimation signal from the current echo signal to eliminate background noise; performing feature analysis on the preprocessed echo signal to obtain cavity data in the lining surface; and grouting parameters of the synchronous grouting device are adjusted in real time based on the cavity data. According to the method, the echo signals are processed by adopting an accumulated average background cancellation method, background noise or interference is separated from useful signals by performing background estimation on the received echo signals, the background interference can be effectively eliminated, and the detection precision of the wall cavity is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of grouting reinforcement, and in particular relates to a shield synchronous grouting effect detection method and system based on ultra-wideband. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the continuous development of urban underground rail transit construction, shield tunnel construction has become popular in urban transportation infrastructure construction as a superior construction method with small construction disturbance, adaptability to soft geology, and fast excavation speed. However, due to the limitations of ground space and urban design planning, tunnel construction often causes stratum disturbance, resulting in gaps between tunnel segments and surrounding rocks, causing changes in the stress distribution of surrounding rocks near the tunnel wall, which may cause hazards such as stratum loss and surface subsidence. In order to reduce these potential hazards, reinforcement and maintenance are often required during shield tunnel construction in actual projects to ensure the safety of tunnel construction.

[0004] Among the reinforcement methods, grouting is widely used, including ground drilling grouting reinforcement and deep hole grouting reinforcement in tunnels. However, for actual closed shield machines, conventional grouting methods have a series of problems, such as:

[0005] First, it is difficult to effectively observe whether the grouting slurry has filled the required defect position. Secondly, the amount of slurry required for different surrounding rock conditions is different, but there is currently no effective method to determine the grouting amount. It mainly relies on the experience of similar projects and lacks sufficient data support. Finally, the traditional grouting effect evaluation mainly relies on the change of grouting pressure, but due to the fluidity and quick drying of the slurry, the accuracy of this method is difficult to guarantee. Summary of the invention

[0006] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides a shield synchronous grouting effect detection method and system based on ultra-wideband, which completes cavity identification and data collection through UWB ultra-wideband technology, and utilizes ultra-wideband technology to effectively improve the accuracy, safety and efficiency of wall cavity detection, and completes more accurate grouting amount determination based on volume calculation and material filling rate considerations.

[0007] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions:

[0008] The first aspect of the present invention provides a method for detecting the effect of synchronous grouting of a shield machine based on ultra-wideband, comprising:

[0009] Acquire the echo signal obtained after the ultra-wideband detection device detects the lining surface;

[0010] The echo signal is preprocessed by using the accumulation average method, including: accumulating and averaging the received echo signals within the set time range and frequency range to obtain a background estimation signal; subtracting the background estimation signal from the current echo signal to eliminate background noise;

[0011] Performing feature analysis on the pre-processed echo signal to obtain the cavity data inside the lining surface; the cavity data includes: cavity position, size, shape and material properties of the cavity;

[0012] The grouting parameters of the synchronous grouting device are adjusted in real time based on the cavity data.

[0013] The second aspect of the present invention provides a shield synchronous grouting effect detection system based on ultra-wideband, comprising:

[0014] The echo signal acquisition module is configured to: acquire the echo signal obtained after the ultra-wideband detection device detects the lining surface;

[0015] The echo signal preprocessing module is configured to: preprocess the echo signal using the cumulative average method, including: performing cumulative average processing on the received echo signals within the set time range and frequency range to obtain a background estimation signal; subtracting the background estimation signal from the current echo signal to eliminate background noise;

[0016] The echo signal characteristic analysis module is configured to: perform characteristic analysis on the pre-processed echo signal to obtain the cavity data inside the lining surface; the cavity data includes: the cavity position, size, shape and material properties of the cavity;

[0017] The grouting parameter real-time adjustment module is configured to: adjust the grouting parameters of the synchronous grouting device in real time based on the cavity data.

[0018] The third aspect of the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in a method for detecting the effect of synchronous grouting of a shield machine based on ultra-wideband as described in the first aspect of the present invention.

[0019] The fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps in a method for detecting the effect of synchronous grouting of a shield machine based on ultra-wideband are implemented as described in the first aspect of the present invention.

[0020] One or more of the above technical solutions have the following beneficial effects:

[0021] (1) The present invention uses the cumulative average background cancellation method to process the echo signal. By estimating the background of the received echo signal, the background noise or interference is separated from the useful signal, which can effectively eliminate the background interference, making the target signal more obvious and improving the detection accuracy of the wall cavity.

[0022] (2) The synchronous grouting device of the present invention can adjust the injection amount and speed of concrete slurry in real time, and accurately grout according to the detected cavity position and size to fill the cavity and strengthen the wall structure. This real-time and accurate grouting technology can effectively improve the overall health and safety of the shield tunnel.

[0023] (3) The UWB ultra-wideband technology used in the present invention can provide higher signal resolution and penetration capability, thereby more accurately detecting the voids inside the lining surface structure; compared with traditional radar or sound wave detection methods, UWB technology can more accurately identify targets, has high detection resolution, a small beam that is not easily affected by the surrounding environment, and improves detection accuracy.

[0024] (4) The present invention combines UWB technology, signal processing algorithm and synchronous grouting technology, which can simultaneously solve the accuracy, safety and efficiency problems of wall cavity detection. Compared with a single technology, this comprehensive solution has more comprehensive advantages and practicality.

[0025] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0027] Figure 1 This is a flow chart of a shield synchronous grouting effect detection method based on ultra-wideband according to the first embodiment.

[0028] Figure 2 This is a structural diagram of the ultra-wideband detection device of the first embodiment.

[0029] In the figure, 1. Ultra-wideband detection device, 101 UWB signal transmission module, 102 echo signal receiving module, 103 signal amplification module, 104 longitudinal support device, 105 transverse support device. DETAILED DESCRIPTION

[0030] Embodiment 1

[0031] like Figure 1As shown, this embodiment discloses a shield synchronous grouting effect detection method based on ultra-wideband, comprising:

[0032] Step 1: Acquire the echo signal obtained after the ultra-wideband detection device detects the lining surface;

[0033] Step 2: Use the accumulation average method to pre-process the echo signal to eliminate background interference;

[0034] Step 3: Perform feature analysis on the preprocessed echo signal to obtain the cavity data inside the lining surface;

[0035] Step 4: Adjust the grouting parameters of the synchronous grouting device in real time based on the cavity data.

[0036] In step 1, the lining surface is detected using an ultra-wideband detection device, including:

[0037] The ultra-wideband detection device transmits a pulse signal to the lining surface at a set time and frequency, and receives the echo signal reflected by the lining surface.

[0038] like Figure 2 As shown, the ultra-wideband detection device 1 comprises:

[0039] UWB signal transmitting module 101: used to transmit ultra-wideband pulse signals to the lining surface, and the transmitting frequency and time interval are adjustable.

[0040] The echo signal receiving module 102 is used to receive the echo signal reflected by the lining surface and convert it into an electrical signal for processing.

[0041] The signal amplification module 103 is used to perform signal amplification processing on the data received by the echo signal receiving module 102. The data output by the signal amplification module 103 is transmitted to the host computer for analysis and processing to obtain the void data.

[0042] Longitudinal support device 104 and transverse support device 105: The longitudinal support device 104 and the transverse support device 105 constitute a support frame, and the UWB signal transmitting module 101 and the echo signal receiving module 102 are arranged on the support frame from top to bottom, and the signal amplifying module 103 is arranged on the echo signal receiving module 102.

[0043] In step 2, the echo signal is preprocessed by using the cumulative average method, including: performing cumulative average processing on the echo signals received within the set time range and frequency range to obtain a background estimation signal; subtracting the background estimation signal from the current echo signal to eliminate background noise;

[0044] In ultra-wideband (UWB) signal processing, in order to improve the signal-to-noise ratio and detection accuracy of the signal, the signals received multiple times are accumulated and averaged. This method is usually used in the preprocessing stage of the signal to reduce the impact of random noise and make the useful signal features more obvious.

[0045] Assume that in a UWB system, a signal is transmitted and received 10 times in a specific area. Each received echo signal may contain useful reflection signals and noise. By accumulating and averaging the 10 received signals, a smoother signal can be obtained, in which the useful reflection signal will be more prominent, while the random noise will be weakened due to the accumulation and averaging; this averaged signal is used as the background estimation signal for subsequent background cancellation processing.

[0046] When using the cumulative average background cancellation method, the background estimate is used to describe the part of the background noise or interference estimated from the received signal. The purpose of the background estimate is to separate these background noise or interference from the useful signal during signal processing, thereby improving the signal-to-noise ratio of the signal and making the target signal (for example, the signal reflected from the cavity behind the tunnel lining) more obvious.

[0047] The present invention uses the accumulation average method as a signal processing algorithm, which specifically includes:

[0048] Step 201: Setting parameters to specify the time range and frequency range of the background signal to be accumulated.

[0049] Among them, m represents the pulse dimension (or slow time), n represents the distance dimension (or fast time), x[m,n] represents the current echo signal, and y[m,n] represents the background estimation value of the historical echo signal.

[0050] Step 202: Send a high-frequency short pulse signal to the interior of the lining surface structure through a UWB signal transmitting device.

[0051] Step 203: Use a UWB synchronous receiving device to receive the signal reflected from the structure behind the lining surface, and perform background estimation on the detected area according to the echo signal x[m,n].

[0052] Step 204: subtract the background estimation information, ie, the background estimation value y, from the current echo data x[m,n]:

[0053]

[0054] Step 205: The echo information of the cavity behind the lining is:

[0055]

[0056] Step 206: Adjust the algorithm to process the data in real time while reducing the requirement for storage capacity, taking into account real-time performance while solving the problem of large storage data.

[0057]

[0058] This embodiment performs background estimation on the received echo signal and subtracts the background estimation information from the current echo data to eliminate background noise. In addition, each time an echo signal is received, background cancellation processing is performed in real time without storing all historical data, thereby reducing storage requirements.

[0059] It should be noted that "pulse dimension" and "distance dimension" are terms in signal processing, usually used to describe signal characteristics in the time-frequency domain or distance-time domain. These two concepts are particularly important in technologies such as ultra-wideband (UWB) signal processing and radar imaging. The pulse dimension usually refers to the time delay of the signal or the emission time of the pulse, which can be understood as the time difference between signal transmission and reception. The distance dimension usually refers to a parameter directly related to the signal propagation distance, which can be the actual propagation distance of the signal in the medium.

[0060] In step 3, based on the echo data after background subtraction processing, the cavity data is determined by further analyzing the echo signal, including using methods such as arrival time difference (TDOA), signal strength, and frequency analysis; the cavity data includes the location, size, shape, and material properties of the cavity. Step 3 specifically includes:

[0061] Step 301: Analyze the time delay of the echo signal and the known wave velocity to obtain the cavity position;

[0062]

[0063] Where: d is the cavity position, c is the wave velocity, and Δt is the time delay of the echo signal.

[0064] Step 302: Analyze the time delay and intensity of the echo signal to obtain the hole size;

[0065]

[0066] Where: s is the size of the cavity, A ref is the reference signal strength, A sig is the echo signal strength.

[0067] Step 303: Analyze the pattern and phase change of the echo signal to obtain the cavity shape;

[0068]

[0069] Where: θ is the phase angle, X is the complex representation of the echo signal, Im(X) is the imaginary part of the echo signal, and Re(X) is the real part of the echo signal.

[0070] Step 304: Analyze the reflection and absorption characteristics of the echo signal to obtain the material characteristics of the cavity;

[0071]

[0072] Where: α is the absorption coefficient, d is the signal propagation distance, A out is the outgoing signal strength, A in is the incident signal intensity.

[0073] In step 4, the grouting parameters of the synchronous grouting device are adjusted, including: adjusting the injection volume and speed of the concrete slurry. After the void is detected, the synchronous grouting device is promptly adjusted to accurately inject concrete slurry into the void area. The grouting process is adjusted in real time according to the size and shape of the void to ensure complete filling, while strengthening the wall structure and improving the overall health and safety of the wall.

[0074] Specifically: The final grouting volume Q can be calculated based on the void volume V, the density ρ of the grouting material and the grouting efficiency coefficient k:

[0075] Q=k·v·ρ

[0076] In the formula, the grouting efficiency coefficient k is an empirical coefficient used to reflect the utilization rate of materials in actual construction. It takes into account various practical factors, such as material loss during construction and incomplete grouting. The value of k needs to be determined through experiments and actual engineering experience.

[0077] Embodiment 2

[0078] This embodiment discloses a shield synchronous grouting effect detection system based on ultra-wideband, comprising:

[0079] The echo signal acquisition module is configured to: acquire the echo signal obtained after the ultra-wideband detection device detects the lining surface;

[0080] The echo signal preprocessing module is configured to: preprocess the echo signal using the cumulative average method, including: performing cumulative average processing on the received echo signals within the set time range and frequency range to obtain a background estimation signal; subtracting the background estimation signal from the current echo signal to eliminate background noise;

[0081] The echo signal characteristic analysis module is configured to: perform characteristic analysis on the pre-processed echo signal to obtain the cavity data inside the lining surface; the cavity data includes: the cavity position, size, shape and material properties of the cavity;

[0082] The grouting parameter real-time adjustment module is configured to: adjust the grouting parameters of the synchronous grouting device in real time based on the cavity data.

[0083] The ultra-wideband detection device transmits a pulse signal to the lining surface at a set time and frequency, and receives an echo signal reflected by the lining surface.

[0084] The ultra-wideband detection device includes: a UWB signal transmitting module: used to transmit an ultra-wideband pulse signal to the lining surface, and the transmitting frequency and time interval are adjustable;

[0085] Echo signal receiving module: used to receive the echo signal reflected from the lining surface and convert it into an electrical signal for processing;

[0086] Signal amplification module: used to perform signal amplification processing on the data received by the echo signal receiving module.

[0087] Embodiment 3

[0088] The purpose of this embodiment is to provide a computer-readable storage medium.

[0089] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in a method for detecting the effect of synchronous grouting of a shield machine based on ultra-wideband as described in Example 1 of the present disclosure.

[0090] Embodiment 4

[0091] The purpose of this embodiment is to provide an electronic device.

[0092] An electronic device includes a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps in a method for detecting the effect of synchronous grouting of a shield machine based on ultra-wideband as described in Example 1 of the present disclosure are implemented.

[0093] The steps involved in the apparatuses of the above embodiments 2, 3 and 4 correspond to the method embodiment 1, and the specific implementation methods can refer to the relevant description part of embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0094] Those skilled in the art should understand that the modules or steps of the present invention described above can be implemented by a general-purpose computer device, or alternatively, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0095] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A shield synchronous grouting effect detection method based on ultra-wideband, characterized in that: include: Acquire the echo signal obtained after the ultra-wideband detection device detects the lining surface; The echo signal is preprocessed by using the accumulation average method, including: accumulating and averaging the received echo signals within the set time range and frequency range to obtain a background estimation signal; subtracting the background estimation signal from the current echo signal to eliminate background noise; Performing feature analysis on the pre-processed echo signal to obtain the cavity data inside the lining surface; the cavity data includes: cavity position, size, shape and material properties of the cavity; The grouting parameters of the synchronous grouting device are adjusted in real time based on the cavity data.

2. A shield synchronous grouting effect detection method based on ultra-wideband as claimed in claim 1, characterized in that: Detecting the lining surface using the ultra-wideband detection device includes: The ultra-wideband detection device transmits a pulse signal to the lining surface at a set time and frequency, and receives the echo signal reflected by the lining surface.

3. A shield synchronous grouting effect detection method based on ultra-wideband as claimed in claim 1, characterized in that: The ultra-wideband detection device comprises: a UWB signal transmitting module: used for transmitting ultra-wideband pulse signals to the lining surface, with adjustable transmitting frequency and time interval; Echo signal receiving module: used to receive the echo signal reflected from the lining surface and convert it into an electrical signal for processing; Signal amplification module: used to perform signal amplification processing on the data received by the echo signal receiving module.

4. A shield synchronous grouting effect detection method based on ultra-wideband as claimed in claim 1, characterized in that: The feature analysis of the pre-processed echo signal to obtain the cavity data inside the lining surface includes: The cavity position is calculated based on the time delay of the echo signal and the known wave speed; The hole size is calculated according to the reference signal strength of the echo signal and the current echo signal strength; The cavity shape is calculated based on the pattern and phase changes of the echo signal; The material properties of the cavity are calculated based on the reflection and absorption characteristics of the echo signal.

5. The method for detecting the effect of shield synchronous grouting based on ultra-wideband according to claim 1, characterized in that: The adjustment of the grouting parameters of the synchronous grouting device includes: adjusting the injection amount and speed of the concrete slurry; the injection amount of the concrete slurry is calculated according to the cavity volume, the density of the grouting material and the grouting efficiency coefficient.

6. A shield synchronous grouting effect detection system based on ultra-wideband, characterized in that: include: The echo signal acquisition module is configured to: acquire the echo signal obtained after the ultra-wideband detection device detects the lining surface; The echo signal preprocessing module is configured to: preprocess the echo signal using the cumulative average method, including: performing cumulative average processing on the received echo signals within the set time range and frequency range to obtain a background estimation signal; subtracting the background estimation signal from the current echo signal to eliminate background noise; The echo signal characteristic analysis module is configured to: perform characteristic analysis on the pre-processed echo signal to obtain the cavity data inside the lining surface; the cavity data includes: the cavity position, size, shape and material properties of the cavity; The grouting parameter real-time adjustment module is configured to: adjust the grouting parameters of the synchronous grouting device in real time based on the cavity data.

7. The shield synchronous grouting effect detection system based on ultra-wideband according to claim 6, characterized in that: Detecting the lining surface using the ultra-wideband detection device includes: The ultra-wideband detection device transmits a pulse signal to the lining surface at a set time and frequency, and receives the echo signal reflected by the lining surface.

8. The shield synchronous grouting effect detection system based on ultra-wideband according to claim 6, characterized in that: The ultra-wideband detection device comprises: a UWB signal transmitting module: used for transmitting ultra-wideband pulse signals to the lining surface, with adjustable transmitting frequency and time interval; Echo signal receiving module: used to receive the echo signal reflected from the lining surface and convert it into an electrical signal for processing; Signal amplification module: used to perform signal amplification processing on the data received by the echo signal receiving module.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the steps in a method for detecting the effect of synchronous grouting of a shield machine based on ultra-wideband are implemented as described in any one of claims 1 to 5.

10. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the shield synchronous grouting effect detection method based on ultra-wideband as described in any one of claims 1-5 are implemented.

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