Method for discriminating abnormal historical travel data of shield jacks

Abstract

The application discloses a kind of shield jack's abnormal historical travel data discrimination method, linear equation group about conversion coefficient of deviation value is constructed based on the theoretical coordinate value of shield propulsion jack mechanical installation position, by the deviation value discrimination method and the data relationship of shield propulsion jack travel value is combined, so that the method has the functions such as multivariate analysis, intelligent exclusion, deadlock recovery and the characteristics such as efficient, accurate and reliable.The method is not only suitable for jack travel abnormal historical data discrimination, but also suitable for other shield construction real-time data discrimination, which can provide basis for travel sensor fault judgment.The application solves the problem that the existing shield jack data anomaly detection method is not suitable for screening abnormal data in historical data.

Description

Technical Field

[0001] This invention relates to the field of tunnel boring machine (TBM) construction technology, specifically to a method for identifying abnormal historical travel data of TBM jacks. Background Technology

[0002] In shield tunneling, the main operational aspect of shield excavation is controlling the extension and retraction of the propulsion jacks. During construction, adjusting the formation of individual (or grouped) propulsion jacks controls and adjusts the tunneling posture of the shield machine, thereby achieving the goal of controlling the tunnel axis. Shield jack data is core construction information data of widespread concern to shield machine manufacturers and tunnel construction units. A large amount of real-time construction parameter data is recorded and stored, providing a necessary data foundation for subsequent big data analysis and mining. In the basic stages of later in-depth data mining and utilization, accurately and promptly determining the accuracy of the jack travel data is crucial for cleaning and screening the original recorded data.

[0003] Existing methods for detecting abnormal shield tunneling parameters, such as Chinese patents CN111472798B and CN114676778A, are limited in their specificity and difficult to apply in practical data screening. Furthermore, existing methods for identifying shield tunneling data anomalies primarily focus on real-time construction data rather than large amounts of historical data. Moreover, many existing methods rely on comparing real-time construction data with set safety thresholds to determine anomalies, which is unsuitable for cleaning and processing historical large datasets. Summary of the Invention

[0004] To overcome the shortcomings of existing technologies, a method for identifying abnormal historical travel data of tunnel boring machine (TBM) jacks is provided to solve the problem that existing TBM jack data anomaly detection methods are not applicable to the screening of abnormal data in historical data.

[0005] To achieve the above objectives, a method for identifying abnormal historical travel data of tunnel boring machine jacks is provided, comprising the following steps:

[0006] A planar coordinate system is established with the center of the shield tunneling machine's cutterhead as the origin. Based on the radius of the cutterhead and the central angle of the shield tunneling machine's propulsion jacks, the installation coordinates (x, y, y) of the sensors used to collect the travel data of the propulsion jacks are calculated. i y i );

[0007] Construct a system of linear equations for the conversion coefficients A, B, and C between the travel data and the deviation values ​​of the travel data. The system of linear equations is as follows:

[0008]

[0009] Among them, l i Let i be the stroke value of the i-th jack.

[0010] Based on the travel data and the system of linear equations, the conversion coefficients A, B, and C are calculated.

[0011] Based on the conversion coefficients A, B, and C, the stroke data of each of the propulsion jacks are converted to obtain the deviation value;

[0012] Calculate the mean and standard deviation of the deviations;

[0013] When a deviation value meets a preset condition, the historical travel data corresponding to the deviation value is determined to be abnormal data.

[0014] Furthermore, in the installation coordinates,

[0015] x i =R cosθ i ;

[0016] y i =R sinθ i ;

[0017] Where R is the radius of the cutter head, θ i Let be the central angle of the propulsion jack.

[0018] Furthermore, the deviation value is obtained by converting the stroke data of each of the propulsion jacks using a conversion formula, which is:

[0019]

[0020] Furthermore, the preset condition is |Dd i |>3S, where D is the average value of the deviations and S is the root mean square deviation of the deviations.

[0021] The beneficial effects of this invention are as follows: The method for identifying abnormal historical travel data of shield tunneling jacks constructs a linear equation system with conversion coefficients for deviation values ​​based on the theoretical coordinate values ​​of the mechanical installation position of the shield tunneling jacks. By combining the deviation value identification method with the data relationship of the shield tunneling jack travel values, this method possesses functions such as multivariate analysis, intelligent elimination, and deadlock recovery, and is characterized by high efficiency, accuracy, and reliability. This method is applicable to the general determination of anomalies in the historical travel data of shield tunneling jacks and can accurately screen abnormal jack data during shield tunneling construction. Furthermore, this method effectively determines the availability of historical data, and the determination results can be used as a basis for identifying faults and anomalies in travel detection sensors or related systems. Attached Figure Description

[0022] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0023] Figure 1 This is a schematic diagram illustrating the relationship between the central angle of the shield tunneling machine's propulsion jack and the radius of the cutterhead, according to an embodiment of the present invention. Detailed Implementation

[0024] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0025] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0026] Reference Figure 1 As shown, this invention provides a method for identifying abnormal historical travel data of a tunnel boring machine jack, comprising the following steps:

[0027] S1: Establish a plane coordinate system with the center of the cutterhead 1 of the tunnel boring machine (TBM) as the origin O. Based on the radius of the cutterhead 1 and the central angle of the TBM's propulsion jack 2, calculate the installation coordinates (x, y, y) of the sensor used to collect the stroke data of the propulsion jack 2. i y i ).

[0028] In the installation coordinates,

[0029] x i =R cosθ i ;

[0030] y i =R sinθ i ;

[0031] Where R is the radius of the cutter head 1, θ i To advance the central angle of jack 2.

[0032] S2: Construct a system of linear equations for the conversion coefficients A, B, and C between the travel data and the deviation values ​​of the travel data. The system of linear equations is as follows:

[0033]

[0034] Among them, l i This is the stroke value of the i-th jack, which is the sensor reading.

[0035] S3: Based on the travel data and the system of linear equations, calculate the conversion coefficients A, B, and C.

[0036] S4: Based on the conversion coefficients A, B, and C, the travel data of each propulsion jack is converted to obtain the deviation value.

[0037] The travel data of each propulsion jack are converted using a conversion formula to obtain the deviation value d. i The conversion formula is:

[0038]

[0039] S5: Calculate the mean and standard deviation of the deviations.

[0040] Wherein, the average deviation value D:

[0041]

[0042] The mean squared deviation S of the deviation:

[0043]

[0044] n is the number of sensors.

[0045] S6: When a deviation value meets a preset condition, the historical travel data corresponding to the deviation value is determined to be abnormal data.

[0046] Specifically, the preset condition is |Dd i |>3S, where D is the average of the deviations and S is the root mean square of the deviations.

[0047] When filtering out outliers, if a deviation value satisfies |Dd i If |>3S, then the historical travel data corresponding to that deviation value is determined to be abnormal data.

[0048] The method for identifying abnormal historical travel data of shield tunneling jacks in this invention constructs a linear equation system with conversion coefficients for deviation values ​​based on the theoretical coordinate values ​​of the mechanical installation position of the shield tunneling jacks. By combining the deviation value identification method with the data relationship of the travel values ​​of the shield tunneling jacks, this method has the functions of multivariate analysis, intelligent elimination, deadlock recovery, and is characterized by high efficiency, accuracy, and reliability.

[0049] The method for identifying abnormal historical travel data of shield tunneling jacks in this invention is applicable to the general determination of anomalies in the historical travel data of shield tunneling jacks and can accurately screen abnormal data of jacks during shield tunneling construction.

[0050] The method for identifying abnormal historical travel data of shield tunneling jacks of the present invention can effectively identify the availability of historical data, and the identification results can be used as the basis for identifying faults and anomalies of travel detection sensors or related systems.

[0051] The method for identifying abnormal historical travel data of shield tunneling jacks in this invention can be used as a cleaning algorithm for shield tunneling data mining or data warehouse access data.

[0052] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. A method for identifying abnormal historical travel data of a tunnel boring machine jack, characterized in that, Includes the following steps: A planar coordinate system is established with the center of the shield tunneling machine's cutterhead as the origin. Based on the radius of the cutterhead and the central angle of the shield tunneling machine's propulsion jacks, the installation coordinates (x, y, y) of the sensors used to collect the travel data of the propulsion jacks are calculated. i y i ); Construct a system of linear equations for the conversion coefficients A, B, and C between the travel data and the deviation values ​​of the travel data. The system of linear equations is as follows: Among them, l i Let i be the stroke value of the i-th jack. Based on the travel data and the system of linear equations, the conversion coefficients A, B, and C are calculated. Based on the conversion coefficients A, B, and C, the stroke data of each of the propulsion jacks are converted to obtain the deviation value; Calculate the mean and standard deviation of the deviations; When a deviation value meets a preset condition, the historical travel data corresponding to the deviation value is determined to be abnormal data.

2. The method for identifying abnormal historical travel data of shield tunneling jacks according to claim 1, characterized in that, In the installation coordinates, x i =Rcosθ i ; y i =Rsinθ i ; Where R is the radius of the cutter head, θ i Let be the central angle of the propulsion jack.

3. The method for identifying abnormal historical travel data of shield tunneling jacks according to claim 1, characterized in that, The deviation value is obtained by converting the stroke data of each of the aforementioned propulsion jacks using a conversion formula, which is:

4. The method for identifying abnormal historical travel data of shield tunneling jacks according to claim 1, characterized in that, The preset condition is |Dd i |>3S, where D is the average value of the deviations and S is the root mean square deviation of the deviations.

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