CN103743514A - Method, device and system for detecting vehicle condition - Google Patents

Method, device and system for detecting vehicle condition Download PDF

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Publication number
CN103743514A
CN103743514A CN201310743392.6A CN201310743392A CN103743514A CN 103743514 A CN103743514 A CN 103743514A CN 201310743392 A CN201310743392 A CN 201310743392A CN 103743514 A CN103743514 A CN 103743514A
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China
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stress
vehicle
working condition
detected
varying
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CN201310743392.6A
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CN103743514B (en
Inventor
孙维光
王玉光
王军
龚明
许娇
车全伟
赵红伟
宋业恒
于洋洋
李文化
徐宏伟
田爱琴
杜健
丁叁叁
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CRRC Qingdao Sifang Co Ltd
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CSR Qingdao Sifang Locomotive and Rolling Stock Co Ltd
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Publication of CN103743514A publication Critical patent/CN103743514A/en
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Abstract

The invention provides a method, a device and a system for detecting a vehicle condition. The method comprises the following steps: acquiring the average stress and the fluctuating stress of a vehicle to be detected; converting the average stress and the fluctuating stress according to a fatigue strength formula to obtain the maximum main stress of the average stress and the maximum main stress of the fluctuating stress; judging whether the maximum main stress of the average stress and the maximum main stress of the fluctuating stress are in preset data ranges or not, if so, defining the vehicle condition as a safe condition; otherwise, defining the condition of the vehicle to be detected as a fault condition. By adopting the method for detecting the vehicle condition provided by the invention, data under each condition can be acquired and analyzed automatically, so that the problem of non-uniform analysis results caused by individual differences among emulation personnel in the prior art is solved.

Description

A kind of detection method of vehicle working condition, Apparatus and system
Technical field
The present invention relates to engineering machinery field, in particular, relate to a kind of detection method, Apparatus and system of vehicle working condition.
Background technology
At present, the dynamic (dynamical) emulation of rail traffic vehicles is to operate by professional emulation personnel, it is the motion state to each parts of the rail traffic vehicles collecting according to the experience accumulation of self, as joints, node acceleration, node speed and part displacements, carry out analysis and the processing of data.
But while detecting in the face of complicated vehicle working condition, need emulation personnel to complete fast typing, the analysis of acquisition parameter, operate comparatively loaded down with trivial detailsly, and there is individual difference in different emulation personnel, causes analysis result to differ.
Summary of the invention
In view of this, the invention provides a kind of detection method, Apparatus and system of vehicle working condition, to overcome the skimble-scamble problem of analysis result that in prior art, emulation personnel exist individual difference to cause.
For achieving the above object, the invention provides following technical scheme:
A detection method for vehicle working condition, comprising:
Gather mean stress and the varying stress of vehicle to be detected;
According to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtain the major principal stress of described mean stress and the major principal stress of described varying stress;
Judge that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.
Preferably, mean stress and the varying stress of described collection vehicle to be detected comprise:
Capture the principle stress cloud atlas of vehicle to be detected under each operating mode, described principle stress cloud atlas comprises mean stress and the varying stress of vehicle to be detected.
Preferably, described fatigue strength formula is JIS standard.
Preferably, judging that the major principal stress of described mean stress and the major principal stress of described varying stress whether after preset data scope, also comprise:
Judged result is carried out to record, form a data report.
Preferably, after the mean stress and varying stress of described collection vehicle to be detected, also comprise:
Described mean stress and described varying stress are filtered according to preset rules.
A pick-up unit for vehicle working condition, comprising:
Collecting unit, for gathering mean stress and the varying stress of vehicle to be detected;
Computing unit, for according to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtains the major principal stress of described mean stress and the major principal stress of described varying stress;
Judging unit, for judging that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.
Preferably, described collecting unit is also for capturing the principle stress cloud atlas of vehicle to be detected under each operating mode, and described principle stress cloud atlas comprises mean stress and the varying stress of vehicle to be detected.
Preferably, also comprise:
Record cell, for judged result is carried out to record, forms a data report.
Preferably, also comprise:
Filter element, for filtering according to preset rules described mean stress and described varying stress.
A detection system for vehicle working condition, comprises the pick-up unit of the vehicle working condition that any one is above-mentioned.
Known via above-mentioned technical scheme, compared with prior art, the invention provides a kind of detection method of vehicle working condition, by gathering mean stress and the varying stress of vehicle to be detected.And according to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtain the major principal stress of described mean stress and the major principal stress of described varying stress.Then judge that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.Visible, the detection method of vehicle working condition provided by the invention can automatically gather and analyze the data under each operating mode, has overcome the skimble-scamble problem of analysis result that exists individual difference to cause due to emulation personnel in prior art.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skills, do not paying under the prerequisite of creative work, other accompanying drawing can also be provided according to the accompanying drawing providing.
The process flow diagram of the detection method of a kind of vehicle working condition that Fig. 1 provides for the embodiment of the present invention;
The process flow diagram of the detection method of the another kind of vehicle working condition that Fig. 2 provides for the embodiment of the present invention;
The process flow diagram of the detection method of another vehicle working condition that Fig. 3 provides for the embodiment of the present invention;
The structural representation of the pick-up unit of a kind of vehicle working condition that Fig. 4 provides for the embodiment of the present invention;
The structural representation of the pick-up unit of the another kind of vehicle working condition that Fig. 5 provides for the embodiment of the present invention;
The structural representation of the pick-up unit of another vehicle working condition that Fig. 6 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
The invention provides a kind of detection method of vehicle working condition, by gathering mean stress and the varying stress of vehicle to be detected.And according to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtain the major principal stress of described mean stress and the major principal stress of described varying stress.Then judge that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.Visible, the detection method of vehicle working condition provided by the invention can automatically gather and analyze the data under each operating mode, has overcome the skimble-scamble problem of analysis result that exists individual difference to cause due to emulation personnel in prior art.
Refer to accompanying drawing 1, the process flow diagram for the detection method of a kind of vehicle working condition provided by the invention, comprising:
S101: the mean stress and the varying stress that gather vehicle to be detected;
S102: according to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtain the major principal stress of described mean stress and the major principal stress of described varying stress;
S103: judge that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.
Preferably, mean stress and the varying stress of described collection vehicle to be detected comprise:
Capture the principle stress cloud atlas of vehicle to be detected under each operating mode, described principle stress cloud atlas comprises mean stress and the varying stress of vehicle to be detected.
It should be noted that, described fatigue strength formula can be JIS standard.And judging that the major principal stress of described mean stress and the major principal stress of described varying stress whether after preset data scope, as shown in Figure 2, also comprise:
S105: judged result is carried out to record, form a data report.
Preferably, as shown in Figure 3, after the mean stress and varying stress of described collection vehicle to be detected, also comprise:
S106: described mean stress and described varying stress are filtered according to preset rules.
Concrete, can, according to the selected certain range of stress of experience, the range of stress of not paying close attention to be filtered.In software, directly counter stress numerical value carries out screening and filtering.
It should be noted that, mainly to car body or framework, the stress under each tired operating mode carries out grabgraf (also can comprise static strength operating mode etc.) to the present embodiment, picture after grabgraf is carried out to mark, the picture of the picture mark in report template and software crawl is linked, when generating report, automatically picture is filled in Word document, can forms report.That is, the invention provides a kind of detection method, Apparatus and system of vehicle working condition, to overcome the skimble-scamble problem of analysis result that in prior art, emulation personnel exist individual difference to cause.
In the embodiment that the invention described above provides, describe method in detail, for method of the present invention, can adopt the device of various ways to realize, so the present invention also provides a kind of device, provided specific embodiment below and be elaborated.
Refer to Fig. 4, the structural representation for the pick-up unit of a kind of vehicle working condition provided by the invention, comprising:
Collecting unit 101, for gathering mean stress and the varying stress of vehicle to be detected;
Computing unit 102, for according to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtains the major principal stress of described mean stress and the major principal stress of described varying stress;
Judging unit 103, for judging that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.
Wherein, described collecting unit is also for capturing the principle stress cloud atlas of vehicle to be detected under each operating mode, and described principle stress cloud atlas comprises mean stress and the varying stress of vehicle to be detected.
On the basis of above-described embodiment, as shown in Figure 5, the pick-up unit of this vehicle working condition can also comprise:
Record cell 104, for judged result is carried out to record, forms a data report.
Preferably, as shown in Figure 6, the pick-up unit of this vehicle working condition also comprises:
Filter element 106, for filtering according to preset rules described mean stress and described varying stress.
In addition to the implementation, the present invention also provides a kind of detection system of vehicle working condition, comprises the pick-up unit of the vehicle working condition that any one is above-mentioned.
In sum: the invention provides a kind of detection method of vehicle working condition, by gathering mean stress and the varying stress of vehicle to be detected.And according to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtain the major principal stress of described mean stress and the major principal stress of described varying stress.Then judge that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.Visible, the detection method of vehicle working condition provided by the invention can automatically gather and analyze the data under each operating mode, has overcome the skimble-scamble problem of analysis result that exists individual difference to cause due to emulation personnel in prior art.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and each embodiment stresses is the difference with other embodiment, between each embodiment identical similar part mutually referring to.For the device providing for embodiment, because its method providing with embodiment is corresponding, so description is fairly simple, relevant part partly illustrates referring to method.
Above-mentioned explanation to provided embodiment, makes professional and technical personnel in the field can realize or use the present invention.To the multiple modification of these embodiment, will be apparent for those skilled in the art, General Principle as defined herein can, in the situation that not departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle provided in this article and features of novelty.

Claims (10)

1. a detection method for vehicle working condition, is characterized in that, comprising:
Gather mean stress and the varying stress of vehicle to be detected;
According to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtain the major principal stress of described mean stress and the major principal stress of described varying stress;
Judge that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.
2. the detection method of vehicle working condition according to claim 1, is characterized in that, mean stress and the varying stress of described collection vehicle to be detected comprise:
Capture the principle stress cloud atlas of vehicle to be detected under each operating mode, described principle stress cloud atlas comprises mean stress and the varying stress of vehicle to be detected.
3. the detection method of vehicle working condition according to claim 1, is characterized in that, described fatigue strength formula is JIS standard.
4. the detection method of vehicle working condition according to claim 1, is characterized in that, is judging that the major principal stress of described mean stress and the major principal stress of described varying stress whether after preset data scope, also comprise:
Judged result is carried out to record, form a data report.
5. the detection method of vehicle working condition according to claim 1, is characterized in that, after the mean stress and varying stress of described collection vehicle to be detected, also comprises:
Described mean stress and described varying stress are filtered according to preset rules.
6. a pick-up unit for vehicle working condition, is characterized in that, comprising:
Collecting unit, for gathering mean stress and the varying stress of vehicle to be detected;
Computing unit, for according to fatigue strength formula, by the processing that converts of described mean stress and described varying stress, obtains the major principal stress of described mean stress and the major principal stress of described varying stress;
Judging unit, for judging that the major principal stress of described mean stress and the major principal stress of described varying stress are whether within the scope of preset data, if so, defining vehicle working condition to be detected is safe operating mode; If not, defining vehicle working condition to be detected is fault condition.
7. the pick-up unit of vehicle working condition according to claim 6, is characterized in that, described collecting unit is also for capturing the principle stress cloud atlas of vehicle to be detected under each operating mode, and described principle stress cloud atlas comprises mean stress and the varying stress of vehicle to be detected.
8. the pick-up unit of vehicle working condition according to claim 6, is characterized in that, also comprises:
Record cell, for judged result is carried out to record, forms a data report.
9. the pick-up unit of vehicle working condition according to claim 6, is characterized in that, also comprises:
Filter element, for filtering according to preset rules described mean stress and described varying stress.
10. a detection system for vehicle working condition, is characterized in that, comprises the pick-up unit of the vehicle working condition as described in any one in claim 6-9.
CN201310743392.6A 2013-12-27 2013-12-27 A kind of detection method of vehicle working condition, Apparatus and system Active CN103743514B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106021688A (en) * 2016-05-13 2016-10-12 中车青岛四方机车车辆股份有限公司 Method and apparatus for assessing wheel strength of rail transit locomotive
CN110727989A (en) * 2018-06-28 2020-01-24 中车大同电力机车有限公司 Structural fatigue strength analysis method, device and computer readable storage medium

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5819515A (en) * 1981-07-28 1983-02-04 Sumitomo Metal Ind Ltd Device for measuring weight of rolling stock
JP2002149712A (en) * 2000-11-08 2002-05-24 Fujitsu Nagano Systems Engineering Ltd Method for detecting and evaluating position of breaking point due to fatigue
JP2007261583A (en) * 2007-06-12 2007-10-11 Nippon Sharyo Seizo Kaisha Ltd Manufacturing method of vehicle structural body for railway vehicle
CN101376392A (en) * 2007-08-30 2009-03-04 北京佳讯飞鸿电气股份有限公司 Vehicle axle counting method based on steel rail deformation / stress parameters
CN101719183A (en) * 2009-12-10 2010-06-02 北京交通大学 Test simulation system for rail structures of high-speed railways and urban railway system
JP2012104042A (en) * 2010-11-12 2012-05-31 Kobe Steel Ltd Prediction method of uniform extension and prediction program for uniform extension

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5819515A (en) * 1981-07-28 1983-02-04 Sumitomo Metal Ind Ltd Device for measuring weight of rolling stock
JP2002149712A (en) * 2000-11-08 2002-05-24 Fujitsu Nagano Systems Engineering Ltd Method for detecting and evaluating position of breaking point due to fatigue
JP2007261583A (en) * 2007-06-12 2007-10-11 Nippon Sharyo Seizo Kaisha Ltd Manufacturing method of vehicle structural body for railway vehicle
CN101376392A (en) * 2007-08-30 2009-03-04 北京佳讯飞鸿电气股份有限公司 Vehicle axle counting method based on steel rail deformation / stress parameters
CN101719183A (en) * 2009-12-10 2010-06-02 北京交通大学 Test simulation system for rail structures of high-speed railways and urban railway system
JP2012104042A (en) * 2010-11-12 2012-05-31 Kobe Steel Ltd Prediction method of uniform extension and prediction program for uniform extension

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106021688A (en) * 2016-05-13 2016-10-12 中车青岛四方机车车辆股份有限公司 Method and apparatus for assessing wheel strength of rail transit locomotive
CN106021688B (en) * 2016-05-13 2019-05-21 中车青岛四方机车车辆股份有限公司 A kind of appraisal procedure and device of the wheel strength of rail transit locomotive
CN110727989A (en) * 2018-06-28 2020-01-24 中车大同电力机车有限公司 Structural fatigue strength analysis method, device and computer readable storage medium
CN110727989B (en) * 2018-06-28 2023-08-04 中车大同电力机车有限公司 Structural fatigue strength analysis method, device and computer readable storage medium

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Address after: Chengyang District of Shandong city of Qingdao province Jinhong road 266111 No. 88

Patentee after: CRRC QINGDAO SIFANG CO., LTD.

Address before: Chengyang District of Shandong city of Qingdao province Jinhong road 266111 No. 88

Patentee before: CSR Qingdao Sifang Locomotive and Rolling Stock Co., Ltd.