A sensor failure diagnosis method for track short-wave irregularity multi-point chord measurement

Abstract

The present invention provides a sensor failure diagnosis method for a multi-point chord measurement method for short-wave track unevenness, comprising the following steps: S1: designing the rear wheel of a chord measurement trolley to be in an eccentric state; so that a deflection angle of α is generated between the measuring chord in this state and the measuring chord in a non-eccentric state; S2: presetting a sensor No. 1, a sensor No. 2 and a sensor No. 3 for multi-point chord measurement; if each sensor used for the multi-point chord measurement method is in a normal working state, then the distances of the chords at x1, x2 and x3 measured by each sensor from the track surface are values ​​calculated about f(x1), f(x2) and f(x3). The test method of the present application further proposes a rapid diagnosis method for sensor failure. In the existing patents, only the influence of sensor errors on the detection results is considered. The present application further diagnoses sensor failure, supplements and improves the existing patents, and also realizes efficient identification of whether the sensor fails or fails.

Description

Technical Field

[0001] The invention relates to a method for diagnosing failure of a chord measurement sensor, which can be applied to an efficient method for testing whether a railway rail corrugation trolley sensor adopting the chord measurement technology on the market is operating normally. Background Art

[0002] Rail corrugation is a periodic, wave-shaped, uneven wear on the rail surface. It is the main cause of severe high-frequency vibration in the wheel-rail system and is more common in subway lines.

[0003] However, track corrugation detection equipment that uses the string measurement method may have sensor failure, which further leads to deviations in the measurement of short-wave track unevenness, causing a waste of track maintenance resources at the very least, and even threatening driving safety in serious cases.

[0004] How to propose a reasonable and efficient diagnostic method for the failure of sensors in track shortwave irregularity detection equipment and improve the efficiency of track operation and maintenance is a problem that technical personnel in this field often consider.

[0005] Technical solutions commonly used in the prior art: such as the prior patent (Wang Ping, Wang Yuan, Wang Li, etc. A method and device for measuring track unevenness [P]. Sichuan Province: CN110029544B, 2020-07-24.), which specifically discloses a method and device for measuring track unevenness, based on a measurement method of multi-point multi-order chord measurement method, measuring multiple groups of combined chord measurement values ​​in the target section according to a preset sampling step, and based on the measurement process of multi-point multi-order chord measurement method and the fact that the matrix of multiple groups of combined chord measurement values ​​is equal to the product of the measurement matrix and the matrix composed of adjacent discretizations of the geometric shape and position of the rail, a measurement model for measuring short-wave unevenness of the rail is established, and the track unevenness is obtained by constructing an optimization model of the measurement model and inverting and solving the optimization model. In this way, the detection data of multiple measuring points can be effectively integrated, and the measurement error can be controlled by solving the linear system, thereby improving the measurement accuracy while ensuring a smaller measurement wavelength resolution; and through the combined optimization of the measuring point positions of the chord measurement method, the maximum utilization of the sensors at the measuring points can be achieved to obtain higher-precision measurement results.

[0006] In the specific application process, it is difficult to judge whether some sensors of the rail corrugation trolley which currently adopts the string measurement method have failed. Summary of the invention

[0007] The problems existing in the prior art solved by this application are:

[0008] It is difficult to judge whether some sensors of the rail corrugation trolley using the chord measurement method in the prior art are failed.

[0009] The solution to the technical problem of the present invention is:

[0010] A sensor failure diagnosis method for track short-wave irregularity multi-point chord measurement is provided, comprising the following steps:

[0011] S1: The rear wheel of the string measuring trolley is designed to be in an eccentric state, so that a deflection angle of α is generated between the measuring string in this state and the measuring string in a non-eccentric state;

[0012] S2: Preset the sensor No. 1, sensor No. 2 and sensor No. 3 for multi-point string measurement; if all sensors used for multi-point string measurement are in normal working state, then the corresponding x measured by each sensor 1 、x 2 、x 3 The distance between the chord and the track surface is:

[0013] ;

[0014] In the formula, is the distance between sensor No. 1 and the center of the left wheel;

[0015] S3: Input the M value obtained above into the calculation formula of the chord measurement value h: ; In the formula, , , The three sensors measured , , The distance of the chord from the track surface;

[0016] and is a coefficient related to the distance between sensors and is calculated as follows: ; ; In the formula, is the distance between sensor 1 and sensor 2, is the distance between sensor No.2 and sensor No.3; and satisfy: ;

[0017] After entering the M value, we get:

[0018] ;

[0019] Further simplification gives:

[0020] ;because , further introduced into the above announcement, we can get ;

[0021] S4: When the sensor is working normally, even if the wheel is eccentric, the chord measurement value will not change;

[0022] S5: Diagnosis completed.

[0023] The technical effects of solving the technical problem in this application are as follows:

[0024] Compared with existing technologies:

[0025] The present invention discloses a sensor failure diagnosis method for a multi-point chord measurement method for short-wave track unevenness by adopting the following steps: S1: designing the rear wheel of the chord measurement trolley to be in an eccentric state; so that a deflection angle of α is generated between the measuring chord in this state and the measuring chord in a non-eccentric state; S2: presetting a sensor No. 1, a sensor No. 2 and a sensor No. 3 for multi-point chord measurement; if each sensor used for the multi-point chord measurement method is in a normal working state, then the distance between the chord at x1, x2, and x3 measured by each sensor and the track surface is a value calculated about f(x1), f(x2), and f(x3). The test method of the present application is based on the existing patent, and further proposes a rapid diagnosis method when a sensor failure occurs in the existing patent. In the existing patent, only the influence of the sensor error on the detection result is considered. The present application further diagnoses the sensor failure, better realizes the supplement and improvement of the existing patent, and also realizes the efficient identification of whether the sensor fails or fails. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the principle of the measurement method based on the multi-measurement point and multi-order chord measurement method in the prior art.

[0027] Figure 2 The present invention is a schematic diagram of the principle of rapid diagnosis of sensor failure of a sensor failure diagnosis method for track short-wave irregularity multi-point chord measurement. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0029] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0030] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0031] It should be noted that when a component is said to be "fixed to" another component, it can be directly on the other component or there can be a central component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there can be a central component at the same time.

[0032] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0033] The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0034] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0035] See also Figure 1 and Figure 2 The present invention provides a sensor failure diagnosis method 1 for track short-wave irregularity multi-point chord measurement method, comprising the following steps:

[0036] S1: The rear wheel of the string measuring trolley is designed to be in an eccentric state, so that a deflection angle of α is generated between the measuring string in this state and the measuring string in a non-eccentric state;

[0037] S2: Preset the sensor No. 1, sensor No. 2 and sensor No. 3 for multi-point string measurement; if all sensors used for multi-point string measurement are in normal working state, then the corresponding x measured by each sensor 1 、x 2 、x 3 The distance between the chord and the track surface is:

[0038] ;

[0039] In the formula, is the distance between sensor No. 1 and the center of the left wheel;

[0040] S3: Input the M value obtained above into the calculation formula of the chord measurement value h: ; In the formula, , , The three sensors measured , , The distance of the chord from the track surface;

[0041] and is a coefficient related to the distance between sensors and is calculated as follows: ; ; In the formula, is the distance between sensor 1 and sensor 2, is the distance between sensor No.2 and sensor No.3; and satisfy: ;

[0042] After entering the M value, we get:

[0043] ;

[0044] Further simplification gives:

[0045] ;because , further introduced into the above announcement, we can get ;

[0046] S4: When the sensor is working normally, even if the wheel is eccentric, the chord measurement value will not change;

[0047] S5: Diagnosis completed.

[0048] The technical solution of the present application, based on the prior art, further proposes a rapid diagnosis method when sensor failure occurs in the existing patent.

[0049] In the existing patents, only the impact of sensor errors on the detection results is considered. This patent will further diagnose sensor failures, which is a supplement and improvement to the existing patents.

[0050] Compared with the prior art, the present invention provides a sensor failure diagnosis method 1 for multi-point chord measurement for short-wave track unevenness by adopting the following steps: S1: designing the rear wheel of the chord measurement trolley to be in an eccentric state; so that a deflection angle of α is generated between the measuring chord in this state and the measuring chord in a non-eccentric state; S2: presetting sensor No. 1, sensor No. 2 and sensor No. 3 for multi-point chord measurement; if all sensors used for the multi-point chord measurement method are in normal working state, then the distances of the chords at x1, x2 and x3 measured by each sensor from the track surface are the values ​​calculated about f(x1), f(x2) and f(x3). The test method of the present application is based on the existing patent, and further proposes a rapid diagnosis method when a sensor fails in the existing patent. In the existing patent, only the influence of the sensor error on the detection result is considered. The present application further diagnoses the sensor failure, better supplements and improves the existing patent, and also realizes efficient identification of whether the sensor fails or fails.

[0051] The above-described embodiments of the present invention do not constitute a limitation on the protection scope of the present invention. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A sensor failure diagnosis method for track short-wave irregularity multi-point chord measurement method, characterized by: The following steps are included: Under normal circumstances, the chord measurement value h measured by the chord measurement trolley is calculated as follows: Where f(x1), f(x2), and f(x3) are the heights of the chord from the track surface at x1, x2, and x3 measured by the three sensors, respectively; λ and is a coefficient related to the distance between sensors and is calculated as follows: Where L1 is the distance between sensor 1 and sensor 2, L2 is the distance between sensor 2 and sensor 3; λ and satisfy: S1: Then the rear wheel of the string measuring trolley is designed to be in an eccentric state, so that a deflection angle of α is generated between the measuring string in this state and the measuring string in a non-eccentric state; S2: Sensor No. 1, Sensor No. 2 and Sensor No. 3 are preset for multi-point chord measurement; if all sensors used for multi-point chord measurement are in normal working condition, the distances between the chords at x1, x2 and x3 measured by each sensor and the track surface are: Where M is the distance between sensor 1 and the center of the left wheel; f'(x1), f'(x2) and f'(x3) are the heights of sensors 1, 2 and 3 from the track surface when the wheel eccentricity is set, respectively; f(x1), f(x2) and f(x3) are the heights of sensors 1, 2 and 3 from the track surface when the wheel eccentricity is not set; S3: Input the above M value into the calculation formula of the chord value h: After inputting the M value, we can get the calculation result of the chord measurement value after setting the wheel eccentricity: Further simplification gives: because Substituting this into the above formula, we get h'=h; if one of the sensors No. 1, No. 2 and No. 3 fails, h'≠h, that is, the chord measurement results before and after the wheel eccentricity are not equal; S4: When the sensor is working normally, even if the wheel is eccentric, the chord measurement value will not change; if the chord measurement value changes significantly after the wheel eccentricity is changed, it means that at least one of the three sensors has data sampling abnormality; S5: Diagnosis completed.

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