CN109697554B - Health state evaluation method of speed-up turnout - Google Patents
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Abstract
The invention discloses a health state evaluation method of an acceleration turnout, which comprises the following steps: collecting outdoor data and indoor data of the current speed-increasing turnout and storing the outdoor data and the indoor data into a turnout operation database; extracting history data of the current speed-up turnout from a turnout history database and extracting a maintenance record of the current speed-up turnout from a maintenance behavior database; performing feature extraction on indoor data and outdoor data to obtain initial feature data of the current speed-up turnout; revising the initial characteristic data according to the historical data and the maintenance record to obtain revised characteristic data; extracting preset feature data of the current speed-up turnout from a turnout health grade feature database, and confirming a target risk grade from a plurality of preset risk grades according to a matching result of the revised feature data and the preset feature data; generating a maintenance plan recommendation based on the target risk level, the maintenance plan recommendation including a regular maintenance plan and an emergency maintenance plan. The invention reduces the maintenance cost and improves the maintenance quality and the maintenance efficiency.
Description
Technical Field
The invention relates to the technical field of intelligent maintenance of speed-up turnouts, in particular to a health state evaluation method of speed-up turnouts.
Background
The speed-up turnout, namely the ZJY7 hydraulic type turnout, is installed on the railway line in large quantity in order to meet the speed-up requirement of the railway in China. The speed-up turnout control and indication system relates to an indoor part and an outdoor part, and has long connecting circuit and more interference factors; the mechanical action part beside the outdoor rail comprises an electric system and a hydraulic system, and is influenced by various factors such as vehicle vibration, wind, frost, rain and snow, the equipment state of a joint part, the equipment maintenance level of maintenance personnel and the like, and the total failure rate is higher in railway signal running equipment. The turnout fault is also one of the main factors influencing the running and shunting of railway stations in railway signal equipment.
The technical means of monitoring and maintaining the speed-up turnout is that the indoor part is mainly monitored by signal concentration at present; the outdoor part mainly comprises turnout gap monitoring, and comprises a digital type and an image type. Indoor equipment monitoring and outdoor equipment monitoring are independent systems, indoor and outdoor monitoring information of a group of turnouts comes from different equipment manufacturers, and information isolated islands are formed mutually. Moreover, the monitoring data is only stored for about 30 days, and the utilization rate of historical information is low. Daily maintenance of the speed-up turnout is mainly planned maintenance, appearance inspection, cover opening maintenance, seasonal mechanical adjustment and the like are carried out according to a fixed period.
With the continuous deepening of the railway maintenance system reform, the requirements on the equipment maintenance quality and the overall labor efficiency of a maintenance unit are higher and higher, the turnout maintenance quality needs to be improved, and turnout faults need to be reduced, wherein the important aspect is to grasp the equipment health state before the turnout fault in real time through a lifting technical means, and according to the risk degree of possible faults in the equipment health state, the maintenance measures which are classified into mild condition, severe condition and urgent condition and have pertinence are taken.
Disclosure of Invention
The invention aims to provide a health state evaluation method of an acceleration turnout, which aims to solve the technical problems that the existing acceleration turnout is large in overhaul quantity, but small in targeted maintenance quantity, high in maintenance cost and low in maintenance plan pertinence.
In order to solve the above problems, the present invention provides a method for evaluating the health status of an acceleration switch, which comprises:
collecting outdoor data and indoor data of the current speed-increasing turnout, and storing the outdoor data and the indoor data into a turnout operation database;
extracting history data of the current speed-up turnout from a turnout history database, and extracting a maintenance record of the current speed-up turnout from a maintenance action database;
performing feature extraction on indoor data and outdoor data to obtain initial feature data of the current speed-up turnout;
revising the initial characteristic data according to the historical data and the maintenance record to obtain revised characteristic data;
extracting preset feature data of the current speed-up turnout from a turnout health grade feature database, and confirming a target risk grade from a plurality of preset risk grades according to a matching result of the revised feature data and the preset feature data;
generating a maintenance plan recommendation according to the target risk level, the maintenance plan recommendation including a regular maintenance plan and an emergency maintenance plan.
As a further improvement of the present invention, after the step of confirming the target risk level from the plurality of preset risk levels, the method further comprises:
and outputting and displaying the outdoor data, the indoor data and the target risk level to an evaluation interface.
As a further improvement of the present invention, it further comprises:
acquiring maintenance information input by a user;
and storing the maintenance information into a maintenance behavior database, and binding the maintenance information with the corresponding speed-up turnout.
As a further improvement of the present invention, the indoor data includes current curves, power curves, 1DQJ, 2DQJ, DBJ, and FBJ excitation pick-up/de-pick-up drop-down states.
As a further improvement of the invention, the outdoor data comprises turnout gap values and images, oil pressure curves, temperature, humidity, liquid level height and vibration acceleration curves.
As a further improvement of the invention, the preset risk levels comprise a risk level I, a risk level II, a risk level III and a risk level IV; the risk level I is that the fault occurs and the normal use of the equipment is influenced; the risk II level is that the parameters of the current speed-up turnout are abnormal, deviate from a normal range and enter a warning line, but the normal use of equipment is not influenced; the risk III level is that the parameters of the current speed-up turnout are in a normal range, and are estimated according to a change rule, and the degradation process is controllable in a specified overhaul period; the risk level IV is that the parameters of the current speed-up turnout are in a normal range, and the parameters are estimated according to a change rule, and the turnout cannot be degraded to a risk level II or level I in a specified overhaul period, namely the turnout is in a stable state in a longer period.
Compared with the prior art, the method and the device have the advantages that the indoor data and the outdoor data are subjected to feature extraction to obtain the initial feature data, the initial feature data are revised through the resume data and the maintenance records, and the purposes of subsequent state evaluation according to the revised feature data and higher evaluation accuracy are achieved. In addition, according to the matching result of the revised characteristic data and the preset characteristic data, the risk level is confirmed, so that the maintenance plan is obtained according to the confirmed risk level, the maintenance plan has the characteristic of strong pertinence, and the maintenance measures with mild and urgent classification and pertinence are adopted, so that the maintenance cost is reduced, and the maintenance quality and the maintenance efficiency are improved.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a method for evaluating the health status of an acceleration switch according to the present invention;
FIG. 2 is a schematic flow chart illustrating a method for evaluating the health status of an acceleration switch according to another embodiment of the present invention;
fig. 3 is an interface display diagram of an embodiment of a terminal device for implementing the method for evaluating the health status of an acceleration switch according to the present invention;
fig. 4 is an interface display diagram of another embodiment of the terminal device for implementing the method for evaluating the health status of the speed-up switch according to the present invention.
Detailed Description
The technical solutions in the embodiments will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, wherein like reference numerals represent like elements in the drawings. It is apparent that the embodiments to be described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Fig. 1 shows an embodiment of the health status evaluation method for speed-up switches. In this embodiment, as shown in fig. 1, the method for evaluating the health status of the speed-up switch includes the following steps:
step S1, collecting outdoor data and indoor data of the current speed-increasing turnout, and storing the outdoor data and the indoor data into a turnout operation database.
Based on this embodiment, in other embodiments, the indoor data includes a current curve, a power curve, a magnetic attraction/demagnetization falling state of 1DQJ (a start relay), 2DQJ (a second start relay), DBJ (a fixed relay), and FBJ (a reverse relay), where the current curve is a curve formed by connecting continuously changing values of the switch action current, and the power curve is a curve formed by connecting continuously changing values of the switch action power.
On the basis of the embodiment, in other embodiments, the outdoor data comprises turnout gap values and images, oil pressure curves, temperature, humidity, liquid level height and vibration acceleration curves, wherein the oil pressure curves are curves formed by connecting positioning/reverse oil cylinder oil pressure continuous change values; the vibration acceleration curve is a curve formed by connecting the continuous change values of the vehicle passing vibration acceleration values.
And S2, extracting the history data of the current speed-up turnout from the turnout history database, and extracting the maintenance record of the current speed-up turnout from the maintenance behavior database.
On the basis of the embodiment, in other embodiments, when the maintenance personnel completes the maintenance operation, the maintenance information needs to be uploaded to the maintenance behavior database through the terminal device. Specifically, the maintenance information uploading process includes: acquiring maintenance information input by a user; and storing the maintenance information into a maintenance behavior database, and binding the maintenance information with the corresponding speed-up turnout.
And S3, performing feature extraction on the indoor data and the outdoor data to obtain initial feature data of the current speed-up turnout.
In this embodiment, the indoor data and the outdoor data include a plurality of kinds of data, and each kind of data is subjected to feature extraction, respectively.
And S4, revising the initial characteristic data according to the historical data and the maintenance record to obtain revised characteristic data.
And S5, extracting preset feature data of the current speed-up turnout from the turnout health level feature database, and confirming a target risk level from a plurality of preset risk levels according to a matching result of the revised feature data and the preset feature data.
On the basis of the embodiment, in other embodiments, the preset risk levels include a risk level I, a risk level II, a risk level III, and a risk level IV; the risk level I is that the fault occurs and the normal use of the equipment is influenced; the risk II level is that the parameters of the current speed-up turnout are abnormal, deviate from the normal range and enter a warning line, but the normal use of equipment is not influenced; the risk III level is that the parameters of the current speed-up turnout are in a normal range, and are estimated according to a change rule, and the degradation process is controllable in a specified overhaul period; the risk level IV is that the parameters of the current speed-up turnout are in a normal range, and the parameters are estimated according to a change rule, and the turnout cannot be degraded to a risk level II or level I in a specified overhaul period, namely the turnout is in a stable state in a longer period.
In order to explain the technical scheme of the invention in more detail, a power curve is taken as an example for detailed explanation.
The first step, the collected power curve is segmented according to three processes of unlocking, converting and locking, and initial characteristic data is extracted segment by segment.
And secondly, acquiring the history data and the maintenance record of the current speed-up turnout, and revising the initial characteristic data according to the history data and the maintenance record.
Specifically, it is assumed that the initial characteristic data is revised based on the age in the history data, and the number of repairs in the repair log and the latest repair time. Such as: the acceleration turnout used for 1 year is different from the acceleration turnout used for 3 years in weight, and the more the service life is, the greater the weight is. The more the number of repairs is, the greater the weight, and the longer the last repair time is from the present, the greater the weight. Specifically, if the initial characteristic data is a, the revised characteristic data is A1, the weight is A1 (0 < A1 < = 1) from the history data, and the weight is a2 (0 < b1 < = 1) from the maintenance record, A1= (1 + A1) (1 + a 2) }.
And thirdly, extracting preset feature data of the current speed-up turnout from the turnout health grade feature database, acquiring the matching degree of the revised feature data and the preset feature data, and confirming the risk grade according to the matching degree.
Specifically, examples are: the characteristics of the speed-up turnout in the preset turnout characteristic database form 9 characteristics of A, B, C, D, E, F, G, H and I, and the characteristics of each risk level finally formed after revision are respectively as follows:
risk class I: t is I (A I 、B I 、C I 、D I 、E I 、F I 、G I 、H I 、I I )；
Risk class II: t is II (A II 、B II 、C II 、D II 、E II 、F II 、G II 、H II 、I II )；
Risk class III: t is III (A III 、B III 、C III 、D III 、E III 、F III 、G III 、H III 、I III )；
Risk class IV: t is IV (A IV 、B IV 、C IV 、D IV 、E IV 、F IV 、G IV 、H IV 、I IV )。
Reading 9 real-time characteristic data of the current turnout, matching with preset characteristic data, and outputting the risk grade with the highest matching degree, namely T I 、T II 、T III 、T IV One of them.
Optionally, for the condition that the matching degree is greater than 95%, the system confirms the corresponding risk level; and (3) prompting the risk level by the system under the condition that the matching degree is less than =95%, and prompting manual reconfirmation so as to improve the diagnosis precision of the system and reduce the deviation.
And S6, generating a maintenance plan suggestion according to the target risk level, wherein the maintenance plan suggestion comprises a conventional maintenance plan and an emergency maintenance plan.
In this embodiment, when the risk levels are risk level I and risk level II, an emergency maintenance plan is generated, and the maintenance time of risk level I is earlier than that of risk level II. When the risk levels are risk level III and risk level IV, a regular maintenance plan is generated, and the maintenance time of the risk level III is earlier than that of the risk level IV.
According to the method, the indoor data and the outdoor data are subjected to feature extraction to obtain the initial feature data, and the initial feature data are revised through the history data and the maintenance records, so that the purposes of performing subsequent state evaluation according to the revised feature data and achieving higher evaluation accuracy are achieved. In addition, according to the matching result of the revised characteristic data and the preset characteristic data, the risk level is confirmed, so that the maintenance plan is obtained according to the confirmed risk level, the maintenance plan has the characteristic of strong pertinence, and the maintenance measures with mild and urgent classification and pertinence are adopted, so that the maintenance cost is reduced, and the maintenance quality and the maintenance efficiency are improved.
Fig. 2-3 illustrate one embodiment of the health status assessment method for speed-up switches according to the present invention. In this embodiment, as shown in fig. 2, the method for evaluating the health status of the speed-up switch includes the following steps:
and S10, acquiring outdoor data and indoor data of the current speed-increasing turnout, and storing the outdoor data and the indoor data into a turnout operation database.
In this embodiment, the step S10 is similar to the step S1 of the above embodiment, and is not described again here.
And S11, extracting the history data of the current speed-up turnout from the turnout history database, and extracting the maintenance record of the current speed-up turnout from the maintenance behavior database.
In this embodiment, the step S11 is similar to the step S2 of the above embodiment, and is not described again here.
And S12, extracting the characteristics of the indoor data and the outdoor data to obtain the initial characteristic data of the current speed-up turnout.
In this embodiment, the step S12 is similar to the step S3 of the above embodiment, and is not described again here.
And S13, revising the initial characteristic data according to the historical data and the maintenance record to obtain revised characteristic data.
In this embodiment, the step S13 is similar to the step S4 of the above embodiment, and is not described again here.
And S14, extracting preset feature data of the current speed-up turnout from the turnout health grade feature database, and confirming a target risk grade from a plurality of preset risk grades according to a matching result of the revised feature data and the preset feature data.
In this embodiment, the step S14 is similar to the step S5 of the above embodiment, and is not repeated herein.
And S15, outputting and displaying the outdoor data, the indoor data and the target risk level to an evaluation interface.
In this embodiment, the final purpose of the health status evaluation method for speed-up switches is to output a switch overhaul priority list, where switches in the list are arranged according to overhaul priority, and the most urgent switch is arranged at the top. Meanwhile, the reason for the prioritization, that is, the detailed information of the change of the main parameter is provided. In particular, parameter display details refer to the evaluation output display interface shown in fig. 3.
The maintenance condition of the speed-up turnout is visually output according to the target risk level, so that a monitoring manager can immediately know which emergency maintenance is needed, maintenance personnel can be reasonably dispatched, the reasonable performance of dispatching is improved, and the targeted performance of maintenance is further improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The above detailed description of the embodiments of the present invention is provided as an example, and the present invention is not limited to the above described embodiments. It will be apparent to those skilled in the art that various equivalent modifications and substitutions can be made without departing from the spirit and scope of the invention, and therefore, all equivalent changes and modifications, improvements, etc. made without departing from the spirit and scope of the invention should be considered within the scope of the invention.
Claims (6)
1. A health state assessment method for an acceleration turnout is characterized by comprising the following steps:
acquiring outdoor data and indoor data of a current speed-increasing turnout, and storing the outdoor data and the indoor data into a turnout operation database;
extracting history data of the current speed-up turnout from a turnout history database, and extracting a maintenance record of the current speed-up turnout from a maintenance action database;
performing feature extraction on the indoor data and the outdoor data to obtain initial feature data of the current speed-up turnout;
revising the initial characteristic data according to the historical data and the maintenance record to obtain revised characteristic data;
extracting preset feature data of the current speed-increasing turnout from a turnout health grade feature database, and confirming a target risk grade from a plurality of preset risk grades according to a matching result of the revised feature data and the preset feature data;
generating a maintenance plan recommendation according to the target risk level, wherein the maintenance plan recommendation comprises a regular maintenance plan and an emergency maintenance plan.
2. The method for assessing the health of an acceleration switch as claimed in claim 1, wherein the step of identifying a target risk level from a plurality of preset risk levels is followed by the steps of:
and outputting and displaying the outdoor data, the indoor data and the target risk level to an evaluation interface.
3. The health status assessment method for speed-up switches according to claim 1, further comprising:
acquiring maintenance information input by a user;
and storing the maintenance information to the maintenance behavior database, and binding the maintenance information with the corresponding speed-up turnout.
4. The method for evaluating the health status of an acceleration switch according to claim 1, wherein the indoor data includes a current curve, a power curve, a one-start relay, a two-start relay, a fixed-gauge relay and a counter-gauge relay excitation pick-up/loss-of-magnetization fall status.
5. The health status assessment method for speed-up switches according to claim 1, wherein said outdoor data comprises switch gap values and images, oil pressure curves, temperature, humidity, liquid level, vibration acceleration curves.
6. The method for evaluating the health status of an acceleration turnout according to claim 1, wherein the preset risk levels comprise a risk level I, a risk level II, a risk level III and a risk level IV; the risk level I is that the fault occurs and the normal use of the equipment is influenced; the risk level II is that the parameters of the current speed-up turnout are abnormal, deviate from the normal range and enter a warning line, but the normal use of equipment is not influenced; the risk level III is that the parameters of the current speed-up turnout are within a normal range, and are estimated according to a change rule, and the degradation process is controllable in a specified maintenance period; the risk IV level is that the parameters of the current speed-up turnout are within a normal range, and the parameters are estimated according to a change rule, so that the turnout cannot be degraded to a risk II level or a risk I level in a specified overhaul period, namely the turnout is in a stable state in a longer period.
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| CN112434979B (en) * | 2020-12-17 | 2023-11-28 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Switch system health assessment method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105260595A (en) * | 2015-04-02 | 2016-01-20 | 北京交通大学 | Feature extraction method for switch action current curve and switch fault diagnosis method |
| CN108717162A (en) * | 2018-08-13 | 2018-10-30 | 北京市地铁运营有限公司通信信号分公司 | Using relay status to switch breakdown real time on-line monitoring system and monitoring method |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105260595A (en) * | 2015-04-02 | 2016-01-20 | 北京交通大学 | Feature extraction method for switch action current curve and switch fault diagnosis method |
| CN108717162A (en) * | 2018-08-13 | 2018-10-30 | 北京市地铁运营有限公司通信信号分公司 | Using relay status to switch breakdown real time on-line monitoring system and monitoring method |
Non-Patent Citations (2)
| Title |
|---|
| 刍议如何结合微机监测系统预防和处理道岔故障;苏波;《科技创新与应用》;20170128(第03期);第23页 * |
| 面向高速铁路道岔的隐患分析与故障定位改进;林海香等;《铁道科学与工程学报》;20180915(第09期);第37-43页 * |
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