Shield cutter wear prediction method and device, electronic equipment and product

Abstract

The invention discloses a shield cutter wear prediction method and device, electronic equipment and a product, and relates to the technical field of shield cutter wear prediction. Wear data, tunneling parameters and geological condition parameters of the shield cutter are obtained; based on the abrasion data, the tunneling parameters, the stratum type and the stratum parameters, establishing an abrasion rate model of the shield cutter in the current stratum and a multi-dimensional abrasion loss curve of the shield cutter; multiple groups of multi-dimensional historical abrasion loss curves of the shield cutter in the current stratum, which have the highest similarity with the multi-dimensional abrasion loss curves and have the similarity higher than a preset threshold value, are obtained from a historical database; and based on the sampling data in the multiple groups of multi-dimensional historical wear loss curves, optimizing the model parameters of the wear rate model of the shield cutter in the current stratum to obtain the optimized wear rate model of the shield cutter in the current stratum, and predicting the wear loss of the shield cutter. According to the method, the abrasion loss of the shield cutter can be accurately predicted, and a project manager can more scientifically formulate a construction scheme.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of shield cutter wear prediction, and particularly relates to a shield cutter wear prediction method and device, an electronic device and a product. BACKGROUND

[0002] As a core equipment of tunnel engineering, a shield machine (TBM) has its cutter directly contact a rock-soil layer, bear high stress, high temperature and complex friction, and is a key component for determining the tunneling efficiency and cost. However, cutter wear is one of the most prominent engineering problems in shield construction.

[0003] The mechanism of cutter wear is complex and is affected by multiple factors such as geological conditions and construction parameters. Traditional cutter wear monitoring mainly collects cutter working state data (such as vibration amplitude mutation and temperature abnormal rise) in real time through vibration, temperature and torque sensors installed on the cutter head or cutter, infers the wear degree, and some high-end devices also have image recognition cutter wear function. However, the existing cutter wear monitoring can only reflect the current wear state of the shield cutter, and cannot predict the wear amount of the shield cutter, so that the construction scheme cannot be reasonably customized according to the wear amount prediction data of the shield cutter, and the construction cost is increased.

[0004] Therefore, how to provide an effective scheme to accurately predict the wear amount of the shield cutter so as to scientifically and reasonably customize the construction scheme and reduce the construction cost has become a difficult problem to be solved in the prior art. SUMMARY

[0005] The application aims to provide a shield cutter wear prediction method, device, electronic device and product to solve the above problems in the prior art.

[0006] In order to achieve the above-mentioned purpose, the application adopts the following technical scheme: In a first aspect, the application provides a shield cutter wear prediction method, comprising: obtaining wear data, tunneling parameters and geological condition parameters of the shield cutter in the tunneling process in real time, wherein the geological condition parameters include stratum type and stratum parameters; based on the wear data, tunneling parameters, stratum type and stratum parameters obtained in the current period, establishing a wear rate model of the shield cutter in the current stratum and a multi-dimensional wear amount curve of the shield cutter in the current stratum, wherein the multi-dimensional wear amount curve of the shield cutter in the current stratum includes a plurality of wear amount curves of different dimensions of the shield cutter in the current stratum; obtaining, from a historical database, a plurality of groups of multi-dimensional historical wear amount curves of the shield cutter in the current stratum with the highest similarity and a similarity higher than a preset threshold to the multi-dimensional wear amount curve; Based on the sampling data in the multiple sets of multi-dimensional historical wear amount curves, the model parameters of the wear rate model of the shield cutter in the current stratum are optimized to obtain an optimized wear rate model of the shield cutter in the current stratum; Based on the optimized wear rate model of the shield cutter in the current stratum, the wear amount of the shield cutter is predicted.

[0007] Based on the above disclosure, the present application obtains the wear data, the tunneling parameters and the geological condition parameters of the shield cutter in the tunneling process in real time, the geological condition parameters including the stratum type and the stratum parameters; based on the wear data, the tunneling parameters, the stratum type and the stratum parameters obtained in the current period, a wear rate model of the shield cutter in the current stratum and a multi-dimensional wear amount curve of the shield cutter in the current stratum are established, the multi-dimensional wear amount curve of the shield cutter in the current stratum including multiple different dimensional wear amount curves of the shield cutter in the current stratum; from a historical database, multiple sets of multi-dimensional historical wear amount curves of the shield cutter in the current stratum with the highest similarity and a similarity higher than a preset threshold are obtained; based on the sampling data in the multiple sets of multi-dimensional historical wear amount curves, the model parameters of the wear rate model of the shield cutter in the current stratum are optimized to obtain an optimized wear rate model of the shield cutter in the current stratum; based on the optimized wear rate model of the shield cutter in the current stratum, the wear amount of the shield cutter is predicted. In this way, the established wear rate model can be optimized in combination with similar historical data, so that the wear amount of the shield cutter can be accurately predicted when the wear amount of the shield cutter is predicted by the wear rate model, which helps the project manager to more scientifically formulate a construction scheme, optimizes resource allocation, reduces construction cost and maximizes economic benefits.

[0008] In one possible design, the tunneling parameters include the shield cutter torque, the shield cutter cutter disc rotating speed and / or the shield cutter thrust, and the stratum parameters include the rock hardness, the sand content and / or the water content; The multi-dimensional wear amount curve of the shield cutter in the current stratum includes a wear amount curve varying with the advancing speed, a wear amount curve varying with the shield cutter torque, a wear amount curve varying with the shield cutter cutter disc rotating speed, a wear amount curve varying with the shield cutter thrust, a wear amount curve varying with the rock hardness, a wear amount curve varying with the sand content and / or a wear amount curve varying with the water content.

[0009] In one possible design, the tunneling parameters include the shield cutter torque, the shield cutter cutter disc rotating speed and the shield cutter thrust, and the stratum parameters include the rock hardness and the sand content, and the wear rate model of the shield cutter in the current stratum is wherein k represents an experience constant, H represents rock hardness, S represents sand content, F represents shield cutter thrust force, T represents shield cutter torque, N represents shield cutter cutterhead rotation speed, 、 、 、 and all represent model parameters.

[0010] In one possible design, the value range of a is 0.8-1.2, the value range of b is 0.5-1, the value range of c is 0.4-0.8, the value range of d is 0.3-0.7, the value range of e is 0.2-0.6.

[0011] In one possible design, the method comprises: clustering the multi-dimensional wear curve and all multi-dimensional historical wear curves in the historical database in the current stratum by a KNN algorithm to obtain a plurality of clusters; calculating the similarity of other multi-dimensional historical wear curves belonging to the same cluster as the multi-dimensional wear curve to the multi-dimensional wear curve; selecting a plurality of groups of multi-dimensional historical wear curves with the highest similarity to the multi-dimensional wear curve and higher than a preset threshold.

[0012] In one possible design, the wear rate model of the shield cutter in the current stratum is a long short-term memory network model.

[0013] In one possible design, after predicting the wear amount of the shield cutter based on the optimized wear rate model of the shield cutter in the current stratum, the method further comprises: determining the predicted remaining service life of the shield cutter according to the wear amount prediction result of the shield cutter; visually displaying the wear amount prediction result of the shield cutter and the predicted remaining service life of the shield cutter.

[0014] In a second aspect, the present application provides a shield cutter wear prediction device, comprising: a first acquisition unit configured to acquire, in real time, wear data, tunneling parameters and geological condition parameters of a shield cutter in a tunneling process, wherein the geological condition parameters include stratum types and stratum parameters; ​The establishing unit is configured to establish a wear rate model of the shield cutter in the current stratum and a multi-dimension wear amount curve of the shield cutter in the current stratum based on the wear data, the tunneling parameters, the stratum type and the stratum parameters obtained in the current period, the multi-dimension wear amount curve of the shield cutter in the current stratum including a plurality of wear amount curves of the shield cutter in different dimensions in the current stratum; The second obtaining unit is configured to obtain, from a historical database, a plurality of groups of multi-dimension historical wear amount curves of the shield cutter in the current stratum that have the highest similarity to the multi-dimension wear amount curve and have a similarity higher than a preset threshold; The optimization unit is configured to optimize model parameters of the wear rate model of the shield cutter in the current stratum based on sampling data in the plurality of groups of multi-dimension historical wear amount curves, to obtain an optimized wear rate model of the shield cutter in the current stratum. The prediction unit is configured to predict the wear amount of the shield cutter based on the optimized wear rate model of the shield cutter in the current stratum.

[0015] In a third aspect, the present application provides an electronic device, comprising a memory, a processor and a transceiver connected in sequence and in communication, wherein the memory is configured to store a computer program, the transceiver is configured to transceive messages, and the processor is configured to read the computer program and execute the shield cutter wear prediction method according to the first aspect or any possible design of the first aspect.

[0016] In a fourth aspect, the present application provides a computer readable storage medium, wherein instructions are stored on the computer readable storage medium, and when the instructions are run on a computer, the shield cutter wear prediction method according to the first aspect or any possible design of the first aspect is executed.

[0017] In a fifth aspect, the present application provides a computer program product comprising instructions, which, when executed on a computer, cause the computer to execute the shield cutter wear prediction method according to the first aspect or any possible design of the first aspect.

[0018] Advantages: The shield cutter wear prediction method, device, electronic device and product provided by the present application can optimize the established wear rate model in combination with similar historical data, so that the wear amount of the shield cutter can be accurately predicted when the wear amount of the shield cutter is predicted by the wear rate model, which helps project managers to make construction plans more scientifically, optimizes resource allocation, reduces construction costs and maximizes economic benefits. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 A flowchart of the shield cutter wear prediction method provided by the embodiments of the present application is shown; Figure 2A block diagram of a shield cutter wear prediction method provided by an embodiment of the present application is shown in the figure. Figure 3 A block diagram of an electronic device provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the present application will be briefly introduced below with reference to the drawings and the description of the embodiments or the prior art. Obviously, the following description of the drawings only constitutes some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor. It should be noted that the description of these embodiments is used to help understand the present application, but does not constitute a limitation on the present application.

[0021] It should be understood that although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. For example, a first element can be referred to as a second element, and similarly a second element can be referred to as a first element without departing from the scope of the example embodiments of the present application.

[0022] It should be understood that for the term "and / or" that may appear herein, it only describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which means that there are three cases of A alone, B alone, and A and B together; for the term " / and" that may appear herein, it describes another association object relationship, which means that there can be two relationships, for example, A / and B, which means that there are two cases of A alone and A and B together; in addition, for the character " / " that may appear herein, it generally means that the associated objects before and after are an "or" relationship.

[0023] In order to accurately predict the wear amount of the shield cutter, the present application provides a shield cutter wear prediction method, device, electronic device and product, which can accurately predict the wear amount of the shield cutter, and help project managers to develop more scientific construction schemes and reduce construction costs.

[0024] The shield cutter wear prediction method provided by the present application can be applied to a shield machine control system or a remote data monitoring platform for remotely monitoring the shield machine. It can be understood that the execution subject does not constitute a limitation on the embodiments of the present application.

[0025] As Figure 1As shown is a flowchart of a shield cutter wear prediction method provided by the first aspect of the embodiment, and the shield cutter wear prediction method can but is not limited to include the following steps S101-S105.

[0026] Step S101. Real-time acquisition of wear data, tunneling parameters and geological condition parameters of the shield cutter in the tunneling process.

[0027] In the embodiment of the application, the cutterhead monitoring system equipped in the shield machine control system acquires the wear data, tunneling parameters and the like of the shield cutter in the tunneling process, and the geological condition parameters can be obtained through geological exploration before construction or obtained through inversion by the sensors of the shield machine. The geological condition parameters include stratum type and stratum parameters.

[0028] The wear data of the shield cutter in the tunneling process can refer to the wear rate of the shield cutter. The tunneling parameters can but are not limited to include shield cutter torque, shield cutter cutterhead speed and / or shield cutter thrust and the like. The stratum parameters can but are not limited to include rock hardness, sand content and / or water content and the like.

[0029] In one or more embodiments, the acquired data can further include the cutter type (such as a roller cutter, a scraper cutter) and the cutter installation position (such as the center, the edge) of the shield cutter and the like.

[0030] In one or more embodiments, after the wear data, tunneling parameters and geological condition parameters are acquired, the acquired data is further preprocessed, such as data alignment processing, missing value difference interpolation, outlier removal and data standardization processing and the like.

[0031] Step S102. Based on the wear data, tunneling parameters, stratum type and stratum parameters acquired in the current period, a wear rate model of the shield cutter in the current stratum and a multi-dimensional wear amount curve of the shield cutter in the current stratum are established.

[0032] The wear rate model of the shield cutter in the current stratum can be a semi-empirical model or a long short-term memory network model and the like. In the embodiment of the application, the wear rate model of the shield cutter in the current stratum adopts a semi-empirical model, and the wear rate model of the shield cutter in the current stratum can be expressed as wherein k represents an empirical constant, represents rock hardness, S represents sand content, F represents shield cutter thrust, T represents shield cutter torque, and N represents shield cutter cutterhead speed, and all represent model parameters. The value range of k is generally 0.8-1.2, ​​​The value range of a generally can be 0.5-1, The value range of a generally can be 0.4-0.8, The value range of a generally can be 0.3-0.7, The value range of a generally can be 0.2-0.6.

[0033] The multi-dimension wear amount curve of the shield cutter in the current stratum includes a plurality of different dimension wear amount curves of the shield cutter in the current stratum. The tunneling parameters include the shield cutter torque, the shield cutter cutterhead rotating speed and / or the shield cutter thrust, and the stratum parameters include the rock hardness, the sand content and / or the water content. Therefore, the multi-dimension wear amount curve of the shield cutter in the current stratum can include a wear amount curve varying with the advancing speed, a wear amount curve varying with the shield cutter torque, a wear amount curve varying with the shield cutter cutterhead rotating speed, a wear amount curve varying with the shield cutter thrust, a wear amount curve varying with the rock hardness, a wear amount curve varying with the sand content and / or a wear amount curve varying with the water content of the shield cutter in the current stratum.

[0034] Step S103. Obtain a plurality of groups of multi-dimension historical wear amount curves of the shield cutter in the current stratum with the highest similarity and higher than a preset threshold from the historical database.

[0035] Specifically, the multi-dimension wear amount curve can be clustered with all the multi-dimension historical wear amount curves in the current stratum in the historical database through a clustering algorithm to obtain a plurality of clusters. Then, the similarity of other multi-dimension historical wear amount curves belonging to the same cluster as the multi-dimension wear amount curve is calculated. Finally, a plurality of groups of multi-dimension historical wear amount curves with the highest similarity and higher than a preset threshold to the multi-dimension wear amount curve are selected.

[0036] The clustering algorithm can be but is not limited to a K-Nearest Neighbors (KNN) algorithm or a KMeans algorithm. When calculating the similarity of the multi-dimension wear amount curve and other multi-dimension historical wear amount curves in the same cluster, the similarity of each dimension historical wear amount curve corresponding to each dimension wear amount curve in the multi-dimension wear amount curve and the multi-dimension historical wear amount curve can be calculated, and then the similarity of the multi-dimension wear amount curve and other multi-dimension historical wear amount curves in the same cluster is calculated through weighting.

[0037] Step S104. Based on the sampling data in the plurality of groups of multi-dimension historical wear amount curves, the model parameters of the wear rate model of the shield cutter in the current stratum are optimized to obtain an optimized wear rate model of the shield cutter in the current stratum.

[0038] In the embodiment of the present application, the data of the multiple sets of multi-dimensional historical wear amount curves can be sampled to obtain sampling data, and the sampling data can be substituted into the wear rate model of the current stratum to optimize the model parameters of the wear rate model of the current stratum, and the optimized wear rate model of the shield cutter in the current stratum is obtained.

[0039] Step S105. Based on the optimized wear rate model of the shield cutter in the current stratum, the wear amount of the shield cutter is predicted.

[0040] Specifically, based on the optimized wear rate model of the shield cutter in the current stratum, and the current wear data, the tunneling parameters and the geological condition parameters of the shield cutter, the wear amount of the shield cutter is predicted.

[0041] In one or more embodiments, after predicting the wear amount of the shield cutter based on the optimized wear rate model of the shield cutter in the current stratum, the predicted remaining service life of the shield cutter can be determined according to the wear amount prediction result of the shield cutter, and the wear amount prediction result of the shield cutter and the predicted remaining service life of the shield cutter can be visually displayed.

[0042] The shield cutter wear prediction method provided by the present application, by real-time acquisition of the wear data, the tunneling parameters and the geological condition parameters of the shield cutter in the tunneling process, the geological condition parameters include stratum type and stratum parameters; based on the wear data, the tunneling parameters, the stratum type and the stratum parameters obtained in the current period, the wear rate model of the shield cutter in the current stratum is established, and the multi-dimensional wear amount curve of the shield cutter in the current stratum is established, the multi-dimensional wear amount curve of the shield cutter in the current stratum includes multiple different dimensional wear amount curves of the shield cutter in the current stratum; from the historical database, the multiple sets of multi-dimensional historical wear amount curves of the shield cutter in the current stratum with the highest similarity and higher than the preset threshold are obtained; based on the sampling data in the multiple sets of multi-dimensional historical wear amount curves, the model parameters of the wear rate model of the shield cutter in the current stratum are optimized, and the optimized wear rate model of the shield cutter in the current stratum is obtained; based on the optimized wear rate model of the shield cutter in the current stratum, the wear amount of the shield cutter is predicted. In this way, the established wear rate model can be optimized in combination with similar historical data, so that when the wear amount of the shield cutter is predicted by the wear rate model, the wear amount of the shield cutter can be accurately predicted, which helps the project manager to make a more scientific construction scheme, optimizes the resource allocation, reduces the construction cost, maximizes the economic benefit, and is convenient for practical application and promotion.

[0043] Please refer to Figure 2 The second aspect of the present application provides a shield cutter wear prediction device, which comprises: The first acquisition unit is configured to acquire, in real time, abrasion data of a shield cutter, tunneling parameters and geological condition parameters in a tunneling process, the geological condition parameters including stratum types and stratum parameters; The establishing unit is configured to establish, based on the abrasion data, the tunneling parameters, the stratum types and the stratum parameters acquired in the current period, an abrasion rate model of the shield cutter in a current stratum, and a multi-dimension abrasion amount curve of the shield cutter in the current stratum, the multi-dimension abrasion amount curve of the shield cutter in the current stratum including abrasion amount curves of the shield cutter in multiple different dimensions in the current stratum; The second acquisition unit is configured to acquire, from a historical database, a plurality of groups of multi-dimension historical abrasion amount curves of the shield cutter in the current stratum that have the highest similarity to the multi-dimension abrasion amount curve and a similarity higher than a preset threshold; The optimization unit is configured to optimize model parameters of the abrasion rate model of the shield cutter in the current stratum based on sampling data in the plurality of groups of multi-dimension historical abrasion amount curves, to obtain an optimized abrasion rate model of the shield cutter in the current stratum. The prediction unit is configured to predict the abrasion amount of the shield cutter based on the optimized abrasion rate model of the shield cutter in the current stratum.

[0044] The working process, working details and technical effects of the shield cutter abrasion prediction device provided in the second aspect of the embodiment can be referred to the first aspect of the embodiment, and will not be described herein.

[0045] As shown in Figure 3 The third aspect of the embodiment of the present application provides an electronic device, which includes a memory, a processor and a transceiver connected in sequence and in communication, wherein the memory is configured to store a computer program, the transceiver is configured to receive and send messages, and the processor is configured to read the computer program and execute the shield cutter abrasion prediction method as described in the first aspect of the embodiment.

[0046] For example, the memory can include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out memory (FIFO), first-in-last-out memory (FILO), and the like; the processor can be, but is not limited to, a microprocessor of STM32F105 series, an ARM (Advanced RISC Machine) processor, an X86 architecture processor, or a processor integrated with a neural-network processing unit (NPU); and the transceiver can be, but is not limited to, a WiFi (Wireless Fidelity) transceiver, a Bluetooth transceiver, a General Packet Radio Service (GPRS) transceiver, a ZigBee transceiver, a 3G transceiver, a 4G transceiver, a 5G transceiver, and the like.

[0047] The fourth aspect of the embodiment provides a computer-readable storage medium storing instructions of the shield cutter wear prediction method according to the first aspect of the embodiment, i.e., the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the shield cutter wear prediction method according to the first aspect is executed. The computer-readable storage medium is a carrier for storing data, and can include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash memory, a USB flash disk, a Memory Stick, and the like. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0048] The fifth aspect of the embodiment provides a computer program product containing instructions, which, when executed on a computer, cause the computer to execute the shield cutter wear prediction method according to the first aspect of the embodiment. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0049] It should be understood that in the following description, specific details are provided to facilitate a complete understanding of the example embodiments. However, a person of ordinary skill in the art will understand that the example embodiments can be implemented without these specific details. For example, systems can be shown in block diagrams to avoid obscuring the examples with unnecessary detail. In other instances, well-known processes, structures, and techniques can not be shown in unnecessary detail to avoid obscuring the example embodiments.

[0050] Finally, it should be noted that the above description is only the preferred embodiment of the present application, and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method of shield cutter wear prediction, characterized by, The method comprises the following steps: obtaining, in real time, abrasion data, tunneling parameters and geological condition parameters of a shield cutter during tunneling, the geological condition parameters comprising stratum type and stratum parameters; based on the abrasion data, tunneling parameters, stratum type and stratum parameters obtained in the current period, establishing an abrasion rate model of the shield cutter in the current stratum, and a multi-dimensional abrasion amount curve of the shield cutter in the current stratum, the multi-dimensional abrasion amount curve of the shield cutter in the current stratum comprising a plurality of different dimensional abrasion amount curves of the shield cutter in the current stratum; obtaining, from a historical database, a plurality of groups of multi-dimensional historical abrasion amount curves of the shield cutter in the current stratum that have the highest similarity to the multi-dimensional abrasion amount curve and a similarity higher than a preset threshold; based on the sampling data in the plurality of groups of multi-dimensional historical abrasion amount curves, optimizing model parameters of the abrasion rate model of the shield cutter in the current stratum to obtain an optimized abrasion rate model of the shield cutter in the current stratum; based on the optimized abrasion rate model of the shield cutter in the current stratum, predicting the abrasion amount of the shield cutter.

2. The shield cutter wear prediction method of claim 1, wherein, The tunneling parameters comprise shield cutter torque, shield cutter cutterhead speed and / or shield cutter thrust, and the stratum parameters comprise rock hardness, sand content and / or water content. The multi-dimensional abrasion amount curve of the shield cutter in the current stratum comprises an abrasion amount curve varying with advancing speed, an abrasion amount curve varying with shield cutter torque, an abrasion amount curve varying with shield cutter cutterhead speed, an abrasion amount curve varying with shield cutter thrust, an abrasion amount curve varying with rock hardness, an abrasion amount curve varying with sand content and / or an abrasion amount curve varying with water content.

3. The shield cutter wear prediction method of claim 2, wherein, The tunneling parameters include a shield cutter torque, a shield cutter cutterhead rotating speed and a shield cutter thrust, the stratum parameters include a rock hardness and a sand content, and the wear rate model of the shield cutter in the current stratum is wherein k represents an empirical constant, represents the rock hardness, S represents the sand content, F represents the shield cutter thrust, T represents the shield cutter torque, and N represents the shield cutter cutterhead rotating speed, , , , and all represent model parameters.

4. The shield cutter wear prediction method of claim 3, wherein, ranging from 0.8 to 1.2, ranging from 0.5 to 1, ranging from 0.4 to 0.8, ranging from 0.3 to 0.7, ranging from 0.2 to 0.

6.

5. The method of claim 1, wherein, The method for obtaining, from a historical database, a plurality of groups of multi-dimensional historical abrasion amount curves of the shield cutter in the current stratum that have the highest similarity to the multi-dimensional abrasion amount curve and a similarity higher than a preset threshold comprises the following steps: clustering the multi-dimensional abrasion amount curve and all multi-dimensional historical abrasion amount curves in the current stratum in the historical database by using a KNN algorithm to obtain a plurality of clusters; calculating the similarity of other multi-dimensional historical abrasion amount curves belonging to the same cluster as the multi-dimensional abrasion amount curve to the multi-dimensional abrasion amount curve; selecting a plurality of groups of multi-dimensional historical abrasion amount curves that have the highest similarity to the multi-dimensional abrasion amount curve and a similarity higher than a preset threshold.

6. The shield cutter wear prediction method of claim 1, wherein, The abrasion rate model of the shield cutter in the current stratum is a long short-term memory network model.

7. The method of claim 1, wherein, After predicting the abrasion amount of the shield cutter based on the optimized abrasion rate model of the shield cutter in the current stratum, the method further comprises the following steps: determining the predicted remaining service life of the shield cutter according to the abrasion amount prediction result of the shield cutter; visually displaying the abrasion amount prediction result of the shield cutter and the predicted remaining service life of the shield cutter.

8. A shield cutter wear prediction device, characterized by, The method comprises the following steps: a first obtaining unit is configured to obtain, in real time, abrasion data, tunneling parameters and geological condition parameters of a shield cutter during tunneling, the geological condition parameters comprising stratum type and stratum parameters; The establishing unit is configured to establish a wear rate model of the shield cutter in the current stratum and a multi-dimension wear amount curve of the shield cutter in the current stratum based on the wear data, the tunneling parameters, the stratum type and the stratum parameters obtained in the current period, the multi-dimension wear amount curve of the shield cutter in the current stratum including a plurality of wear amount curves of the shield cutter in the current stratum in different dimensions; The second obtaining unit is configured to obtain, from a historical database, a plurality of groups of multi-dimension historical wear amount curves of the shield cutter in the current stratum which have the highest similarity to the multi-dimension wear amount curve and have a similarity higher than a preset threshold; The optimization unit is configured to optimize model parameters of the wear rate model of the shield cutter in the current stratum based on sampling data in the plurality of groups of multi-dimension historical wear amount curves, to obtain an optimized wear rate model of the shield cutter in the current stratum; The prediction unit is configured to predict the wear amount of the shield cutter based on the optimized wear rate model of the shield cutter in the current stratum.

9. An electronic device, comprising: The computer program or the instructions realize the shield cutter wear prediction method as claimed in any one of claims 1-7 when executed by a computer.

10. A computer program product comprising computer programs or instructions, characterized in that, The computer program or the instructions realize the shield cutter wear prediction method as claimed in any one of claims 1-7 when executed by a computer.

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