Method, device and equipment for predicting eccentric wear position of hob and shield tunneling machine

Abstract

The invention discloses a hob eccentric wear position prediction method, device and equipment and a shield tunneling machine, and relates to the technical field of tunnel construction. The hob eccentric wear position prediction method comprises the following steps: acquiring a vibration signal, wherein the vibration signal is used for representing vibration characteristics generated by a hob in rock breaking; determining at least one vibration acceleration peak interval frequency based on the vibration signal; on the basis of the at least one vibration acceleration peak value interval frequency, the equivalent distance of hob eccentric wear is predicted through a hob eccentric wear position prediction model, at least one hob eccentric wear equivalent distance is obtained, and the hob eccentric wear position prediction model is constructed based on historical information; the historical information comprises historical data of the equivalent distance of hob eccentric wear and historical vibration acceleration peak interval frequency information; the position of the hob subjected to eccentric wear is predicted through the equivalent distance of the at least one hob subjected to eccentric wear, so that the position range of the hob subjected to eccentric wear can be determined, and the accuracy of hob eccentric wear monitoring is improved.

Description

Technical Field

[0001] The present application relates to the technical field of tunnel construction, and in particular to a method, device, equipment and shield machine for predicting the eccentric wear position of a roller cutter. Background Art

[0002] Shield construction is a fully mechanized construction method mainly used for underground tunnel construction. This method uses a shield machine to advance in the stratum, and uses the shield shell and segments to support the surrounding rock to prevent collapse in the tunnel.

[0003] In shield construction, eccentric wear of the cutter is the most common type of abnormal failure of the cutter. As the degree of eccentric wear of the cutter increases, the contact area between the cutter ring and the stratum continues to increase, the energy consumed by the cutter to break the rock increases, and the shield tunneling efficiency decreases rapidly.

[0004] In the related art, the monitoring of hob wear and failure is mainly carried out by comparing the collected vibration signal with the hob wear status vibration signal database to obtain the wear status of the hob at that time. The position information of the worn hob cannot be known. Therefore, the monitoring accuracy of hob eccentric wear in this way is relatively low. Summary of the invention

[0005] The main purpose of the embodiments of the present application is to provide a method, device, equipment and shield machine for predicting the position of eccentric wear of roller cutters, aiming to improve the accuracy of monitoring eccentric wear of roller cutters and further determine the position of the roller cutters that have experienced eccentric wear.

[0006] To achieve the above-mentioned purpose, one aspect of an embodiment of the present application proposes a method for predicting the position of eccentric wear of the roller cutter, comprising the following steps: obtaining a vibration signal, wherein the vibration signal is used to characterize the vibration characteristics generated by the roller cutter in rock breaking; determining at least one vibration acceleration peak interval frequency based on the vibration signal; predicting the equivalent distance of eccentric wear of the roller cutter through a position prediction model of eccentric wear of the roller cutter based on at least one of the vibration acceleration peak interval frequency, and obtaining at least one equivalent distance of eccentric wear of the roller cutter, wherein the position prediction model of eccentric wear of the roller cutter is constructed based on historical information, and the historical information includes historical data of the equivalent distance of eccentric wear of the roller cutter and historical vibration acceleration peak interval frequency information; predicting the position of the roller cutter that has undergone eccentric wear through at least one equivalent distance of eccentric wear of the roller cutter.

[0007] In some embodiments, the steps of constructing the position prediction model of the eccentric wear of the roller cutter include: determining the historical data of the equivalent distance of the eccentric wear of the roller cutter through the replacement record information of the roller cutter; obtaining the historical stable excavation section vibration signal by segmenting the historical vibration signal; determining the corresponding historical vibration acceleration peak interval frequency information based on the historical stable excavation section vibration signal; performing regression analysis based on the historical data of the equivalent distance of the eccentric wear of the roller cutter and the historical vibration acceleration peak interval frequency information to obtain the position prediction model of the eccentric wear of the roller cutter.

[0008] In some embodiments, the regression analysis based on the historical data of the equivalent distance of the hob eccentric wear and the historical vibration acceleration peak interval frequency information is performed to obtain the position prediction model of the hob eccentric wear, including: performing linear regression based on the historical data of the equivalent distance of the hob eccentric wear and the historical vibration acceleration peak interval frequency information to obtain the position prediction model of the hob eccentric wear; the position prediction model of the hob eccentric wear is expressed as:

[0009] V = ad e +b;

[0010] Wherein, V is the frequency of the vibration acceleration peak interval, and a and b are the parameters to be fitted in the linear regression model.

[0011] In some embodiments, the determining of the historical data of the equivalent distance of the eccentric wear of the cutter by using the replacement record information of the cutter includes: determining the number and position information of the cutters that have undergone eccentric wear by using the replacement record information of the cutter; determining the historical data of the equivalent distance of the eccentric wear of the cutter by using the number and position information of the cutters that have undergone eccentric wear.

[0012] In some embodiments, the historical data of the equivalent distance of the eccentric wear of the cutter is determined by the number and position information of the cutter that has undergone eccentric wear, including: the historical data of the equivalent distance of the eccentric wear of the cutter is determined by the installation radius of the first cutter that has undergone eccentric wear, the installation radius of the second cutter that has undergone eccentric wear, the angle between the positions of the first cutter and the second cutter on the cutter disc and the line connecting the centers of the cutter disc, and the number of the cutter that has undergone eccentric wear.

[0013] In some embodiments, determining the corresponding historical vibration acceleration peak interval frequency information based on the historical stable excavation section vibration signal includes: extracting the historical vibration acceleration signal envelope based on the historical stable excavation section vibration signal, wherein the vibration acceleration signal envelope is composed of vibration acceleration peak values; determining the historical vibration acceleration peak frequency distribution diagram through the historical vibration acceleration signal envelope; and determining the historical vibration acceleration peak interval frequency information based on the historical vibration acceleration peak frequency distribution diagram.

[0014] In some embodiments, the position of the hob that has experienced eccentric wear is predicted by using the equivalent distance of at least one of the hob's eccentric wear, including: determining the average value of the equivalent distances of the hob's eccentric wear by using the equivalent distance of at least one of the hob's eccentric wear; determining a target circular area with the position of a third hob that has experienced eccentric wear on the cutter disc as the center and the average value of the equivalent distances of the hob's eccentric wear as the radius, wherein the third hob is the hob that has experienced eccentric wear found during tool inspection; and determining the position range of the remaining hobs that have experienced eccentric wear based on the intersection area of ​​the target circular area and the cutter disc.

[0015] To achieve the above-mentioned purpose, another aspect of an embodiment of the present application proposes a device for predicting the position of eccentric wear of the cutter, and the device comprises: an acquisition module for acquiring a vibration signal, wherein the vibration signal is used to characterize the vibration characteristics generated by the cutter in rock breaking; a determination module for determining at least one vibration acceleration peak interval frequency based on the vibration signal; a first prediction module for predicting the equivalent distance of eccentric wear of the cutter through a position prediction model of eccentric wear of the cutter based on at least one of the vibration acceleration peak interval frequencies, and obtaining at least one equivalent distance of eccentric wear of the cutter, wherein the position prediction model of eccentric wear of the cutter is constructed based on historical information, and the historical information includes historical data of the equivalent distance of eccentric wear of the cutter and historical vibration acceleration peak interval frequency information; a second prediction module for predicting the position of the cutter that has undergone eccentric wear through at least one equivalent distance of eccentric wear of the cutter.

[0016] To achieve the above-mentioned purpose, another aspect of an embodiment of the present application proposes an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the above-mentioned method for predicting the eccentric wear position of the hob when executing the computer program.

[0017] To achieve the above-mentioned purpose, another aspect of an embodiment of the present application provides a shield machine, which predicts the position of the eccentric wear of the roller cutter by the above-mentioned roller cutter eccentric wear position prediction device or the above-mentioned electronic device.

[0018] The embodiments of the present application include at least the following beneficial effects:

[0019] The present application provides a method, device, equipment and shield machine for predicting the position of eccentric wear of roller cutters. In the embodiment of the present application, first, a vibration signal is obtained, and the vibration signal is used to characterize the vibration characteristics generated by the roller cutter in rock breaking; second, at least one vibration acceleration peak interval frequency is determined based on the vibration signal; based on at least one vibration acceleration peak interval frequency, the equivalent distance of eccentric wear of roller cutters is predicted through a position prediction model of eccentric wear of roller cutters, and at least one equivalent distance of eccentric wear of roller cutters is obtained, wherein the position prediction model of eccentric wear of roller cutters is constructed based on historical information, and the historical information includes historical data of equivalent distance of eccentric wear of roller cutters and historical vibration acceleration peak interval frequency information; finally, the position of the roller cutter with eccentric wear is predicted through at least one equivalent distance of eccentric wear of roller cutters. By determining at least one vibration acceleration peak interval frequency through the vibration signal, and predicting the equivalent distance of eccentric wear of roller cutters through the position prediction model of eccentric wear of roller cutters according to at least one vibration acceleration peak interval frequency, the position range of the roller cutters with eccentric wear can be determined, and the accuracy of monitoring eccentric wear of roller cutters can be improved.

[0020] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0022] Figure 1 is a flow chart of a method for predicting the position of eccentric wear of a hob provided in some embodiments of the present application;

[0023] Figure 2 is another flow chart of a method for predicting the position of eccentric wear of a hob provided in some embodiments of the present application;

[0024] Figure 3 is a schematic diagram of the prediction result of the eccentric wear position of the hob provided in some embodiments of the present application;

[0025] Figure 4 is a schematic block diagram of a module of a device for predicting the position of a hob eccentric wear provided by some embodiments of the present application;

[0026] Figure 5 It is a schematic diagram of the hardware structure of an electronic device provided in some embodiments of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the reference to "embodiment" in this article means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The appearance of this phrase in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are only examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.

[0028] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".

[0029] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0031] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0032] In order to make the inventive concept of the present application easy to understand, before describing the embodiments of the present application in detail, the English abbreviations (terms) / related concepts involved in the embodiments of the present application are first described. The English abbreviations (terms) / related concepts involved in the embodiments of the present application are subject to the following explanations.

[0033] Shield machine: Shield machine is a mechanical equipment used for tunnel construction. Its working principle is to excavate the soil while advancing a cylindrical steel component along the axis of the tunnel. The shell of this cylindrical component is the shield, which plays a temporary support role for the excavated tunnel section that has not yet been lined, bearing the pressure of the surrounding soil layer, and sometimes also bearing the groundwater pressure and keeping the groundwater out. Shield machines can be divided into many types according to different classification standards. For example, according to whether there is a stable excavation face, they are divided into closed-chest type, open type and semi-open type; according to the different ways of controlling the stability of the excavation face, they are divided into mud-water pressure shield machine, earth pressure balance shield machine, combined shield machine and compressed air shield machine, etc.

[0034] Single-edge roller cutter: It breaks rocks by squeezing action and has only one cutting edge. It is usually used for hard rock and medium-hard rock.

[0035] Double-edged roller cutter: It breaks rocks by squeezing action and has two cutting edges. It is usually used for soft rocks with strength less than 30MPa.

[0036] Eccentric wear of the cutter: Eccentric wear of the cutter of a shield machine means that during the construction process, due to some reasons, the cutter cannot rotate normally, so that the friction between one side or several parts of the cutter and the excavation surface is greater than that on the other side, resulting in inconsistent wear degrees on different parts of the cutter.

[0037] Shield construction is a fully mechanized construction method mainly used for underground tunnel construction. This method uses a shield machine to advance in the stratum, and uses the shield shell and segments to support the surrounding rock to prevent collapse in the tunnel.

[0038] In shield construction, eccentric wear of the cutter is the most common type of abnormal failure of the cutter. As the degree of eccentric wear of the cutter increases, the contact area between the cutter ring and the stratum continues to increase, the energy consumed by the cutter to break the rock increases, and the shield tunneling efficiency decreases rapidly.

[0039] The efficiency of sliding cutting of strata after eccentric wear of the cutter is lower than that of normal rolling rock breaking. Cutting strata of the same strength requires greater torque to provide power. It is usually difficult to maintain high thrust and high torque for a long time during shield construction, resulting in tunneling difficulties. The vibration feedback of the shield machine during tunneling in hard rock strata is more obvious than that in other types of strata. After eccentric wear of the cutter occurs, the continuous increase in the contact area between the cutter ring and the rock is not only reflected in the change of shield tunneling parameters, but also causes a significant change in the intensity of cutter vibration.

[0040] In the related art, the monitoring of cutter wear and failure is mainly carried out by comparing the collected vibration signal with the cutter wear state vibration signal database to obtain the cutter wear state at that time. This method cannot obtain the position information of the worn cutter, so the monitoring accuracy of cutter eccentric wear in this way is low. Another way is to install a sensor near the cutter, establish a connection between different forms of monitoring signals such as vibration, electromagnetic, pressure and displacement and the cutter wear amount or cutter failure form, and monitor the wear of the cutter. With the increase in the number of large-section shield tunnels and the increase in complex geological conditions, the rock-breaking working state of the cutter itself is easily affected by the adverse working environment in the excavation cabin and the uncertainty factors of the excavation surface strata by directly monitoring the rock-breaking working state of the cutter, which leads to the problem of reduced detection accuracy of cutter eccentric wear.

[0041] In view of this, the present application proposes a method, device, equipment and shield machine for predicting the position of eccentric wear of roller cutters. The scheme obtains a vibration signal, and the vibration signal is used to characterize the vibration characteristics generated by the roller cutter in rock breaking; determines at least one vibration acceleration peak interval frequency based on the vibration signal; predicts the equivalent distance of eccentric wear of roller cutters through a position prediction model of eccentric wear of roller cutters based on at least one vibration acceleration peak interval frequency, and obtains at least one equivalent distance of eccentric wear of roller cutters, wherein the position prediction model of eccentric wear of roller cutters is constructed based on historical information, and the historical information includes historical data of equivalent distances of eccentric wear of roller cutters and historical vibration acceleration peak interval frequency information; predicts the position of the roller cutter that has eccentric wear through at least one equivalent distance of eccentric wear of roller cutters. By determining at least one vibration acceleration peak interval frequency through the vibration signal, and predicting the equivalent distance of eccentric wear of roller cutters through the position prediction model of eccentric wear of roller cutters according to at least one vibration acceleration peak interval frequency, the position range of the roller cutter that has eccentric wear can be determined, thereby improving the accuracy of monitoring eccentric wear of roller cutters.

[0042] The method provided in the embodiment of the present application can be applied to the electronic device provided in the embodiment of the present application, wherein the electronic device can be a terminal or a server.

[0043] The terminal may be a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto.

[0044] The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content distribution networks, as well as big data and artificial intelligence platforms.

[0045] The following will describe in detail the implementation steps of a method for predicting the eccentric wear position of a roller cutter provided in an embodiment of the present application in conjunction with the accompanying drawings.

[0046] Please refer to Figure 1 , Figure 1 A flowchart of a method for predicting the offset wear position of a roller cutter provided for some embodiments of the present application; it should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0047] The method of the embodiment of the present application comprises the following steps:

[0048] Step 101: obtaining a vibration signal, where the vibration signal is used to characterize the vibration characteristics generated by the roller cutter in rock breaking;

[0049] Step 102: determining at least one vibration acceleration peak interval frequency based on the vibration signal;

[0050] Step 103: predicting the equivalent distance of the eccentric wear of the hob by using a position prediction model of the eccentric wear of the hob based on at least one vibration acceleration peak interval frequency, to obtain at least one equivalent distance of the eccentric wear of the hob, wherein the position prediction model of the eccentric wear of the hob is constructed based on historical information, and the historical information includes historical data of the equivalent distance of the eccentric wear of the hob and historical vibration acceleration peak interval frequency information;

[0051] Step 104: predicting the position of the roller cutter where the eccentric wear occurs by using at least one equivalent distance of the eccentric wear of the roller cutter.

[0052] In steps 101 to 104 shown in the embodiment of the present application, at least one vibration acceleration peak interval frequency is determined through a vibration signal, and the equivalent distance of the eccentric wear of the roller is predicted through a position prediction model of the eccentric wear of the roller based on at least one vibration acceleration peak interval frequency. This can determine the position range of the roller where the eccentric wear occurs, thereby improving the accuracy of monitoring the eccentric wear of the roller.

[0053] The specific implementation methods of the above steps are introduced below.

[0054] In step 101, a vibration signal is acquired, where the vibration signal is used to characterize the vibration characteristics generated by the roller cutter in rock breaking.

[0055] In a shield machine, the cutter is an important component used to excavate the ground and is usually installed on the cutterhead of the shield machine. During the construction process of the shield machine, as the cutter acts on the rock formation, it is bound to generate corresponding vibration signals.

[0056] The vibration signal can be obtained by installing a vibration acceleration sensor on the outer wall of the shield machine excavation chamber to collect and obtain the vibration signal of the roller cutter breaking rock during construction; wherein, the vibration acceleration sensor can be a piezoelectric, piezoresistive or micro-electromechanical system (MEMS) type, which is not limited in this application; the vibration velocity of the shield machine components can also be measured by a velocity sensor or the vibration displacement can be measured by a displacement sensor, and the displacement sensor can be inductive, capacitive or optical.

[0057] The embodiment provided in the present application acquires vibration signals, thereby providing data support for subsequent prediction of the position of eccentric wear of the hob through analysis of the vibration signals.

[0058] In some embodiments of the present application, after the vibration signal is acquired, it is necessary to perform a preprocessing operation on the vibration signal, which includes signal resampling, detrending items, and signal conversion.

[0059] Signal resampling refers to upward resampling when the actual sampling frequency is lower than the target frequency, and downward resampling when the actual sampling frequency is lower than the target frequency. Upward resampling refers to adding new sampling points on the basis of the original sampling to increase the sampling frequency of the signal; while downward resampling refers to reducing the number of sampling points and lowering the sampling frequency of the signal so that the resampled signal has the same volume in an equal time period.

[0060] There are many different resampling methods, including linear interpolation, nearest neighbor interpolation, and polynomial interpolation. These methods interpolate or decimate the signal in different ways to achieve the purpose of changing the sampling rate. For example, linear interpolation inserts new sampling points by calculating the linear relationship between the two nearest samples.

[0061] Detrending refers to removing linear or nonlinear trend components in a signal to make it more stable and smooth. This process can be achieved through a variety of methods, including least squares, regularized least squares, or polydetrend functions. The purpose of detrending is mainly to improve the quality of the signal, such as removing data drift in vibration signal processing. The linear trend term can be eliminated by the detrend function in MATLAB, and the trend component in the signal can also be observed and eliminated by the wavelet transform multi-scale decomposition process.

[0062] Signal conversion refers to the process of converting the voltage signal collected by vibration monitoring into a vibration acceleration signal. This can be achieved through the following formula:

[0063]

[0064] Where A is the vibration acceleration, in g; U i is the voltage signal of channel i of the signal acquisition card, in V; Si is the voltage sensitivity of the acceleration sensor connected to the i-th signal acquisition card channel, in mV / g.

[0065] By preprocessing the vibration signal, subsequent analysis of the vibration signal is facilitated.

[0066] In step 102 , at least one vibration acceleration peak interval frequency is determined based on a vibration signal.

[0067] In some embodiments, determining at least one vibration acceleration peak interval frequency based on the vibration signal includes extracting a vibration acceleration signal envelope based on the vibration signal of a stable excavation section, wherein the vibration acceleration signal envelope is composed of vibration acceleration peak values; determining a vibration acceleration peak frequency distribution diagram through the vibration acceleration signal envelope; and determining vibration acceleration peak interval frequency information based on the vibration acceleration peak frequency distribution diagram.

[0068] For example, generally, the shield working phases can be divided into a stable excavation segment, a start-up segment, an end segment and a shutdown segment according to the change characteristics of the rock-breaking vibration signal.

[0069] The vibration signal of the shield stable excavation section before and after the tool change is divided. The vibration signal of the shield stable excavation section before the tool change is used to determine the magnitude of the vibration signal and the adjacent signal to extract the vibration acceleration signal envelope composed of the vibration acceleration peak value. After that, a fixed interval length (such as 0.4g) can be selected to make a vibration acceleration peak frequency distribution diagram, thereby statistically analyzing the vibration acceleration peak interval frequency information of different intervals.

[0070] Exemplarily, the collected vibration signal can also be preprocessed, including removing DC components, filtering (such as removing power frequency interference), eliminating trend items, etc., to reduce the interference of noise and irrelevant information. Afterwards, the preprocessed signal is subjected to a fast Fourier transform to convert the time domain signal into a frequency domain signal. FFT can display the frequency components of the signal and their corresponding amplitudes. Analyze the spectrum graph obtained by FFT to find out the frequency components of the vibration acceleration signal. On the spectrum graph, different peaks represent different frequency components and their intensities. On the spectrum graph, look for the peak with the highest acceleration amplitude, which is usually the main frequency component of the vibration. The peak range usually refers to the main peak and the frequency range near it, which can be determined by the following steps:

[0071] Determine the frequency corresponding to the main peak;

[0072] By observing the amplitude drop on both sides of the main peak, a threshold can usually be set (such as a drop to 1 / √2 or 1 / 2 of the maximum amplitude) to determine the peak interval. If a more precise peak interval is required, a spectrum refinement technique (such as Zoom FFT) can be used to zoom in on the frequency range of interest to more accurately determine the peak interval.

[0073] In the above manner, at least one vibration acceleration peak interval frequency can be determined from the vibration signal.

[0074] The embodiment provided in the present application determines at least one vibration acceleration peak interval frequency through a vibration signal, providing data support for subsequent prediction of the offset wear position of the hob cutter.

[0075] In step 103, the equivalent distance of the eccentric cutter wear is predicted based on at least one vibration acceleration peak interval frequency through a position prediction model of the eccentric cutter wear to obtain at least one equivalent distance of the eccentric cutter wear, wherein the position prediction model of the eccentric cutter wear is constructed based on historical information, and the historical information includes historical data of the equivalent distance of the eccentric cutter wear and historical vibration acceleration peak interval frequency information.

[0076] In some embodiments, the steps of constructing a position prediction model for eccentric cutter wear include: determining historical data of an equivalent distance of eccentric cutter wear through record information of cutter replacement; obtaining a vibration signal of a historical stable excavation section by segmenting the historical vibration signal; determining corresponding historical vibration acceleration peak interval frequency information based on the vibration signal of the historical stable excavation section; and performing regression analysis based on the historical data of the equivalent distance of eccentric cutter wear and the historical vibration acceleration peak interval frequency information to obtain a position prediction model for eccentric cutter wear.

[0077] Among them, the historical data of the equivalent distance of the eccentric wear of the hob can be determined through the replacement record information of the hob. The number and position information of the eccentrically worn hobs can be determined through the replacement record information of the hob; the historical data of the equivalent distance of the eccentric wear of the hob can be determined through the number and position information of the eccentrically worn hobs.

[0078] Exemplarily, the historical data of the equivalent distance of the eccentric wear of the cutter can be determined by the installation radius of the first cutter that has experienced eccentric wear, the installation radius of the second cutter that has experienced eccentric wear, the angle between the positions of the first cutter and the second cutter on the cutter disc and the line connecting the center of the cutter disc, and the number of cutters that have experienced eccentric wear.

[0079] For example, the tool change records at the construction site can be collected, the number and location of eccentric wear of the roller cutter can be counted, and the historical data of the equivalent distance of eccentric wear of the roller cutter can be calculated.

[0080] The calculation method can be expressed as:

[0081]

[0082] Among them, r i and r j are the installation radius of the i-th and j-th hobs with eccentric wear, respectively. The installation radius refers to the distance between the installation position of the hob and the center of the cutter disc. For double-edged hobs, the installation radius is the average distance between the two cutting edges and the center of the cutter disc; n is the number of eccentric wear of the front and center hobs in the tool inspection; θ ij is the angle between the cutter head position where the i-th and j-th hobs with eccentric wear are located and the cutter head center, d e It is the equivalent distance of the eccentric wear of the hob.

[0083] By segmenting the historical vibration signal, the historical stable excavation section vibration signal is obtained. Determining the corresponding historical vibration acceleration peak interval frequency information based on the historical stable excavation section vibration signal can be achieved by the method in step 102, which will not be repeated here.

[0084] Regression analysis is performed based on the historical data of the equivalent distance of the hob cutter eccentric wear and the historical vibration acceleration peak interval frequency information to obtain the position prediction model of the hob cutter eccentric wear. Linear regression can be performed on the historical data of the equivalent distance of the hob cutter eccentric wear and the historical vibration acceleration peak interval frequency information to obtain the position prediction model of the hob cutter eccentric wear.

[0085] The position prediction model of hob eccentric wear is expressed as:

[0086] V = ad e +b;

[0087] Wherein, V is the frequency of the vibration acceleration peak interval, and a and b are the parameters to be fitted in the linear regression model.

[0088] Regression analysis is a statistical method used to study the relationship between two or more variables, especially for predicting one variable (the response variable) based on one or more other variables (the explanatory variables). In regression analysis, one tries to find a function that best describes the relationship between the explanatory variables and the response variable.

[0089] By analyzing the historical data of the equivalent distance of the hob eccentric wear and the historical vibration acceleration peak interval frequency information, it is found that there is a certain relationship between the two, which can be represented by a linear regression model. Usually, in the model training stage in regression analysis, statistical methods can be used to estimate model parameters to minimize the prediction error. In the model verification stage, cross-validation and other techniques can be used to evaluate the generalization ability of the model.

[0090] It should be understood that by collecting a large amount of historical data of equivalent distance of hob eccentric wear and historical vibration acceleration peak interval frequency information, the parameters a and b to be fitted in the hob eccentric wear position prediction model can be estimated. It can be understood that a and b here are not a set of fixed values. Regression with vibration acceleration peak values ​​in different intervals will obtain multiple sets of a and b values, where each set of a and b values ​​corresponds to vibration acceleration peak values ​​in different intervals.

[0091] By estimating a and b, the relationship between the frequency of the corresponding vibration acceleration peak interval and the equivalent distance of the hob eccentric wear is obtained, that is, the position prediction model of the hob eccentric wear.

[0092] After obtaining the position prediction model of the eccentric wear of the hob, the equivalent distance of the eccentric wear of the hob can be predicted by the position prediction model of the eccentric wear of the hob based on at least one vibration acceleration peak interval frequency to obtain at least one equivalent distance of the eccentric wear of the hob.

[0093] The embodiment of the present application predicts the equivalent distance of the eccentric wear of the roller cutter by using a position prediction model of the eccentric wear of the roller cutter based on at least one vibration acceleration peak interval frequency, thereby obtaining at least one equivalent distance of the eccentric wear of the roller cutter, and providing a basis for predicting the position of the eccentric wear of the roller cutter.

[0094] In step 104, the position of the hob where the eccentric wear occurs is predicted by using at least one equivalent distance of the eccentric wear of the hob.

[0095] In some embodiments, the average value of the equivalent distance of the eccentric wear of the hob can be determined by the equivalent distance of at least one eccentric wear of the hob; a target circular area is determined with the position of the third hob that has experienced eccentric wear on the cutter disc as the center and the average value of the equivalent distance of the eccentric wear of the hob as the radius, wherein the third hob is the hob that has experienced eccentric wear found during the tool inspection; and the position range of the remaining hobs that have experienced eccentric wear is determined based on the intersection area of ​​the target circular area and the cutter disc.

[0096] It should be understood that if the equivalent distance of the eccentric wear of the hob is 1, then the average value of the equivalent distance of the eccentric wear of the hob is itself; if the equivalent distance of the eccentric wear of the hob is multiple, the average value of the equivalent distances of the eccentric wear of the multiple hobs can be calculated to obtain the average value of the equivalent distance of the eccentric wear of the hob.

[0097] For example, after obtaining the average value of the equivalent distance of the eccentric wear of the hob, the position of the first hob that is found to be eccentrically worn during the tool inspection can be used as the center of the circle, and the average value of the equivalent distance of the eccentric wear of the hob can be used as the radius. The intersection of the obtained circular range and the cutter disc is the predicted range of the remaining positions of the hobs that are eccentrically worn.

[0098] The embodiment provided in the present application predicts the position of a roller with eccentric wear by using at least one equivalent distance of eccentric wear of the roller, thereby improving the prediction accuracy of the position of eccentric wear of the roller, further reducing the frequency of hatch opening inspection, reducing the tool inspection range during hatch opening and tool changing, effectively reducing the risk of tool changing operations, and improving shield construction efficiency.

[0099] See also Figure 2 , Figure 2 is another flow chart of a method for predicting the position of eccentric wear of a hob provided in some embodiments of the present application, Figure 2 In the process, the shield vibration monitoring is first arranged and the sensors are reasonably arranged. Then, the vibration signals collected by the sensors are processed, including resampling, detrending items, signal conversion and signal segmentation. Then two processes are performed respectively. One process is to collect the cutter change records, count the number and position of the roller cutter eccentric wear, and calculate the equivalent distance of the roller cutter eccentric wear. The other process is to divide the shield working stage, extract the envelope of the vibration acceleration signal, and calculate the peak interval frequency of the vibration acceleration. After obtaining the equivalent distance of the roller cutter eccentric wear and the peak interval frequency of the vibration acceleration, the position prediction model of the roller cutter eccentric wear can be established through the equivalent distance of the roller cutter eccentric wear and the peak interval frequency of the vibration acceleration. Further, the measured vibration data of the shield machine vibration site can be counted, and the position of the roller cutter eccentric wear can be predicted through the position prediction model of the roller cutter eccentric wear.

[0100] See also Figure 3 , Figure 3 is a schematic diagram of the prediction result of the eccentric wear position of the hob provided in some embodiments of the present application, Figure 3 In the figure, the red dots represent the actual eccentrically worn hobs, the green diamonds represent the evenly worn hobs, the outermost black circle represents the cutter head, the gray-filled circle represents the predicted range of eccentrically worn hobs, and the black straight line segment represents the equivalent distance of eccentrically worn hobs. In the actual tool inspection, the position of the first eccentrically worn hob found is taken as the center of the circle (represented by the red dot connected with the equivalent distance), and the average value of the eccentrically worn distance of the hob is taken as the radius. The intersection of the obtained circular range and the cutter head is the predicted range of the positions of the remaining eccentrically worn hobs. It can be seen that within this range, 3 hobs are eccentrically worn. For example, the second hob can be taken as the center of the circle, and the average value of the eccentrically worn distance of the hob is taken as the radius. It can be seen that the remaining eccentrically worn hobs can almost all fall into the intersection of the obtained circular range and the cutter head.

[0101] The above is an introduction to an embodiment of the method for predicting the offset wear position of a hob cutter of the present application.

[0102] The implementation of the device for predicting the eccentric wear position of a roller cutter provided in the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0103] For the method for predicting the position of the eccentric wear of the hob provided in the above embodiment, the embodiment of the present application further provides a device for predicting the position of the eccentric wear of the hob, which is used to implement the above method, such as Figure 4 As shown, Figure 4 This is a schematic block diagram of a module of a device for predicting the position of a roller cutter eccentric wear according to an embodiment of the present application. The device 400 for predicting the position of a roller cutter eccentric wear includes:

[0104] An acquisition module 401 is used to acquire a vibration signal, where the vibration signal is used to characterize the vibration characteristics generated by the roller cutter in rock breaking;

[0105] A determination module 402 is used to determine at least one vibration acceleration peak interval frequency based on the vibration signal;

[0106] A first prediction module 403 is used to predict an equivalent distance of eccentric hob wear through a position prediction model of eccentric hob wear based on at least one vibration acceleration peak interval frequency, so as to obtain at least one equivalent distance of eccentric hob wear, wherein the position prediction model of eccentric hob wear is constructed based on historical information, and the historical information includes historical data of equivalent distances of eccentric hob wear and historical vibration acceleration peak interval frequency information;

[0107] The second prediction module 404 is used to predict the position of the hob where the eccentric wear occurs by using at least one equivalent distance of the eccentric wear of the hob.

[0108] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0109] like Figure 5 As shown, the embodiment of the present application also provides an electronic device, the electronic device includes a memory, one or more processors ( Figure 5 Only one is shown) and a computer program stored in the memory and executable on the processor. Wherein: the memory is used to store software programs and units, and the processor executes various functional applications and data processing by running the software programs and units stored in the memory to obtain the resources corresponding to the above-mentioned preset events. Optionally, the processor implements the above-mentioned method for predicting the position of the hob eccentric wear by running the above-mentioned computer program stored in the memory.

[0110] The memory, as a non-transitory computer-readable medium, can be used to store non-transitory software programs and non-transitory computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network.

[0111] It can be understood that the contents of the above method embodiments are all applicable to the electronic device embodiment, the functions specifically implemented by the electronic device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0112] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned method for predicting the eccentric wear position of a roller cutter is implemented.

[0113] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiments, the functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0114] The embodiment of the present application further provides a shield machine, which predicts the position of the eccentric wear of the roller cutter by using the above-mentioned roller cutter eccentric wear position prediction device or the above-mentioned electronic device.

[0115] It can be understood that the contents of the above method embodiments are all applicable to the present shield machine embodiment, the functions specifically implemented by the present shield machine embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0116] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by one or more processors, the steps of the above-mentioned method for predicting the eccentric wear position of a hob can be implemented.

[0117] It can be understood that the contents of the above method embodiments are all applicable to the present computer program product, the functions specifically implemented by the present computer program product embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0118] The embodiments of the present application provide a method, device, electronic device, medium, shield machine and computer program product for predicting the position of eccentric cutter wear. The method, device, electronic device, medium and computer program product obtain a vibration signal, which is used to characterize the vibration characteristics generated by the cutter in rock breaking; determine at least one vibration acceleration peak interval frequency based on the vibration signal; predict the equivalent distance of eccentric cutter wear through a position prediction model for eccentric cutter wear based on at least one vibration acceleration peak interval frequency, and obtain at least one equivalent distance of eccentric cutter wear, wherein the position prediction model for eccentric cutter wear is constructed based on historical information, and the historical information includes historical data of equivalent distances of eccentric cutter wear and historical vibration acceleration peak interval frequency information; finally, predict the position of the eccentric cutter that has worn eccentrically through at least one equivalent distance of eccentric cutter wear. By determining at least one vibration acceleration peak interval frequency through the vibration signal, and predicting the equivalent distance of the roller cutter eccentric wear through the position prediction model of the roller cutter eccentric wear according to at least one vibration acceleration peak interval frequency, the position range of the roller cutter where eccentric wear occurs can be determined, thereby improving the accuracy of roller cutter eccentric wear monitoring; thereby reducing the frequency of hatch opening inspections, and reducing the tool inspection range during hatch opening and tool changing, thereby effectively reducing the risk of tool changing operations and improving shield construction efficiency.

[0119] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0120] Although specific embodiments are described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are also within the scope of the present disclosure. For example, any of the functions and / or processing capabilities described in conjunction with a particular device or component may be performed by any other device or component. In addition, although various exemplary implementations and architectures have been described according to embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications to the exemplary implementations and architectures described herein are also within the scope of the present disclosure.

[0121] Some aspects of the present disclosure are described above with reference to the block diagram and flow chart of the system, method, system and / or computer program product according to the exemplary embodiments.It should be understood that the combination of one or more blocks in the block diagram and the flow chart and the blocks in the block diagram and the flow chart can be realized by executing computer executable program instructions respectively.Equally, according to some embodiments, some blocks in the block diagram and the flow chart may not need to be executed in the order shown, or may not need to be executed in full.In addition, additional components and / or operations beyond those components and / or operations shown in the blocks in the block diagram and the flow chart may be present in certain embodiments.

[0122] Therefore, the blocks in the block diagrams and flow charts support the combination of devices for performing the specified functions, the combination of elements or steps for performing the specified functions, and the program instruction devices for performing the specified functions. It should also be understood that each block in the block diagrams and flow charts and the combination of blocks in the block diagrams and flow charts can be implemented by a special-purpose hardware computer system or a combination of special-purpose hardware and computer instructions that performs a specific function, element or step.

[0123] The program modules, applications, etc. described herein may include one or more software components, including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.

[0124] Software components can be encoded with any of various programming languages. An exemplary programming language can be a low-level programming language, such as an assembly language associated with a specific hardware architecture and / or an operating system platform. The software component comprising assembly language instructions may need to be converted to executable machine code by an assembler before being executed by hardware architecture and / or platform. Another exemplary programming language can be a higher-level programming language, which can be transplanted across multiple architectures. The software component comprising a higher-level programming language may need to be converted to an intermediate representation by an interpreter or a compiler before execution. Other examples of programming languages ​​include but are not limited to macro languages, shells or command languages, job control languages, scripting languages, database queries or search languages ​​or report writing languages. In one or more exemplary embodiments, the software component comprising the instruction of one of the above-mentioned programming language examples can be directly executed by an operating system or other software components, without first being converted into another form.

[0125] Software components may be stored as files or other data storage structures. Software components of similar type or related functions may be stored together, such as in a specific directory, folder, or library. Software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).

[0126] The embodiments of the present application are described in detail above in conjunction with the accompanying drawings, but the present application is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in the relevant technical field without departing from the purpose of the present application.

Claims

1. A method for predicting the eccentric wear position of a hob, characterized in that: The following steps are involved: Acquiring a vibration signal, wherein the vibration signal is used to characterize the vibration characteristics generated by the roller cutter in rock breaking; determining at least one vibration acceleration peak interval frequency based on the vibration signal; Based on at least one of the vibration acceleration peak interval frequency, an equivalent distance of the hob cutter eccentric wear is predicted by a position prediction model of the hob cutter eccentric wear, so as to obtain at least one equivalent distance of the hob cutter eccentric wear, wherein the position prediction model of the hob cutter eccentric wear is constructed based on historical information, and the historical information includes historical data of the equivalent distance of the hob cutter eccentric wear and historical vibration acceleration peak interval frequency information; The position of the roller cutter where eccentric wear occurs is predicted by at least one equivalent distance of the roller cutter eccentric wear.

2. The method for predicting the eccentric wear position of a hob according to claim 1, characterized in that: The steps of constructing the position prediction model of the hob eccentric wear include: Determining historical data of an equivalent distance of eccentric wear of the hob through replacement record information of the hob; By segmenting the historical vibration signal, the historical stable excavation section vibration signal is obtained; Determine the corresponding historical vibration acceleration peak interval frequency information according to the historical stable excavation section vibration signal; A regression analysis is performed based on the historical data of the equivalent distance of the eccentric wear of the hob cutter and the historical vibration acceleration peak interval frequency information to obtain a position prediction model for the eccentric wear of the hob cutter.

3. The method for predicting the eccentric wear position of a hob according to claim 2, characterized in that: The method of performing regression analysis based on the historical data of the equivalent distance of the hob cutter eccentric wear and the historical vibration acceleration peak interval frequency information to obtain the position prediction model of the hob cutter eccentric wear includes: Performing linear regression based on historical data of equivalent distance of the eccentric wear of the hob cutter and the historical vibration acceleration peak interval frequency information to obtain a position prediction model of the eccentric wear of the hob cutter; The position prediction model of the hob eccentric wear is expressed as: V=ad e +b; Wherein, V is the frequency of the vibration acceleration peak interval, and a and b are the parameters to be fitted in the linear regression model.

4. The method for predicting the eccentric wear position of a hob according to claim 2, characterized in that: The method of determining the historical data of the equivalent distance of the eccentric wear of the hob by using the replacement record information of the hob includes: Determining the number and position information of the hob that has experienced eccentric wear through the replacement record information of the hob; The historical data of the equivalent distance of the eccentric wear of the roller cutter is determined by the number and position information of the roller cutter that has experienced eccentric wear.

5. The method for predicting the eccentric wear position of a hob according to claim 4, characterized in that: The historical data of the equivalent distance of the eccentric wear of the hob determined by the number and position information of the eccentric wear of the hob includes: The historical data of the equivalent distance of the eccentric wear of the cutter is determined by the installation radius of the first cutter that has eccentric wear, the installation radius of the second cutter that has eccentric wear, the angle between the positions of the first cutter and the second cutter on the cutter disc and the line connecting the centers of the cutter disc, and the number of the cutters that have eccentric wear.

6. The method for predicting the eccentric wear position of a hob according to claim 2, characterized in that: The determining of the corresponding historical vibration acceleration peak interval frequency information according to the historical stable excavation section vibration signal includes: Extracting a historical vibration acceleration signal envelope based on the historical stable excavation section vibration signal, wherein the vibration acceleration signal envelope is composed of vibration acceleration peak values; Determine a historical vibration acceleration peak frequency distribution diagram through the historical vibration acceleration signal envelope; The historical vibration acceleration peak interval frequency information is determined based on the historical vibration acceleration peak frequency distribution diagram.

7. The method for predicting the eccentric wear position of a hob according to claim 1, characterized in that: The predicting of the position of the roller cutter where eccentric wear occurs by using at least one equivalent distance of the eccentric wear of the roller cutter comprises: Determining an average value of the equivalent distance of the eccentric wear of the hob cutter through the equivalent distance of the eccentric wear of the at least one hob cutter; The target circular area is determined by taking the position of the third hob with eccentric wear on the cutter disc as the center of the circle and the average value of the equivalent distance of the eccentric wear of the hob as the radius, wherein the third hob is the hob with eccentric wear found in the tool inspection; The position range of the remaining roller cutters where eccentric wear occurs is determined according to the intersection area between the target circular area and the cutter disc.

8. A device for predicting the position of eccentric wear of a hob, characterized in that: The device comprises: An acquisition module, used for acquiring a vibration signal, wherein the vibration signal is used for characterizing the vibration characteristics generated by the roller cutter in rock breaking; A determination module, configured to determine at least one vibration acceleration peak interval frequency based on the vibration signal; A first prediction module is used to predict the equivalent distance of the eccentric wear of the hob cutter based on at least one of the vibration acceleration peak interval frequencies through a position prediction model of the eccentric wear of the hob cutter, so as to obtain at least one equivalent distance of the eccentric wear of the hob cutter, wherein the position prediction model of the eccentric wear of the hob cutter is constructed based on historical information, and the historical information includes historical data of the equivalent distance of the eccentric wear of the hob cutter and historical vibration acceleration peak interval frequency information; The second prediction module is used to predict the position of the roller cutter where eccentric wear occurs based on at least one equivalent distance of the roller cutter eccentric wear.

9. An electronic device, characterized in that: The electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the method for predicting the eccentric wear position of a roller cutter as claimed in any one of claims 1 to 7 when executing the computer program.

10. A shield machine, wherein the shield machine predicts the position of the eccentric wear of the roller cutter by using the device for predicting the position of the eccentric wear of the roller cutter according to claim 8 or the electronic device according to claim 9.

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