CN112395692A - Disassembly-free bridge crane reliability assessment method - Google Patents
Disassembly-free bridge crane reliability assessment method Download PDFInfo
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- CN112395692A CN112395692A CN202011372260.3A CN202011372260A CN112395692A CN 112395692 A CN112395692 A CN 112395692A CN 202011372260 A CN202011372260 A CN 202011372260A CN 112395692 A CN112395692 A CN 112395692A
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
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Abstract
The invention relates to a disassembly-free bridge crane reliability assessment method, which comprises the following steps: step one, establishing a time interval X of each nearest fault occurrence of a component Q of a bridge crane1、X2、…、Xn‑1The standard normal distribution function of (f) (t); step two, evaluating the reliability service life S of the component Q; thirdly, accumulating the service time delta t of the component Q by taking the nth time component Q fault occurrence time data as a starting point; if the component Q is not in fault when in use and delta t is more than 0.9S and less than or equal to S, service life early warning information is sent to the intelligent terminal equipment; if the component Q fails or is maintained during use, cleaning the latest continuous n times of failure occurrence time data in the step one so as to obtain the time data when the component Q fails or is maintainedThe component Q fault occurrence time data of the front bridge crane is the nth fault occurrence time data YnAnd returning to the step one. According to the invention, the reliability service life of the component Q is evaluated, so that the bridge crane can be maintained accurately.
Description
Technical Field
The invention relates to stability evaluation of a bridge crane, in particular to a disassembly-free reliability evaluation method of the bridge crane.
Background
The bridge crane is a hoisting device which is transversely arranged above workshops, warehouses and stockyards to hoist materials. The bridge crane is a large-scale device, and a serious safety accident can be caused once the safety accident occurs. In fact, the bridge crane equipment is huge, and parts are numerous, and generally when the bridge crane breaks down, the bridge crane is maintained aiming at the fault part, so that the normal production and operation of enterprises are influenced. Based on the situation, the inventor indicates that if the reliability of each part of the bridge crane can be evaluated, the part is replaced in advance in the non-working time before the fault occurs, so that the fault of the bridge crane can be effectively prevented, and the accurate maintenance is facilitated.
Generally, each time the bridge crane is subjected to maintenance, maintenance data such as a failure condition and a failure occurrence time are recorded. However, there is currently no efficient use of maintenance data.
Disclosure of Invention
Therefore, aiming at the problems, the invention provides a disassembly-free bridge crane reliability assessment method, which is used for assessing the reliability life of each part of a bridge crane by mining fault occurrence time data and is beneficial to realizing the accurate maintenance of the bridge crane.
In order to achieve the purpose, the invention adopts the following technical scheme: a disassembly-free bridge crane reliability assessment method comprises the following steps:
step one, importing bridge crane fault occurrence time data for preprocessing, comprising the following steps:
step one, importing bridge crane fault occurrence time data for preprocessing, and comprising the following substeps:
1.1) importing latest continuous n times of fault occurrence time data of a component Q of the bridge crane; sequentially sorting the failure occurrence time data of the component Q in sequence, wherein the failure occurrence time data are respectively Y1、Y2、Y3、…、Yn;
Calculating the interval X between the 1 st fault occurrence time and the 2 nd fault occurrence time1=Y2-Y1(ii) a Interval X between 2 nd fault occurrence time and 3 rd fault occurrence time2=Y3-Y2(ii) a …, respectively; by analogy, the time interval X between the n-1 th fault occurrence time and the nth fault occurrence timen-1=Yn-Yn-1;
1.2) calculating the time interval between the time of occurrence of the nth fault and the time of occurrence of the 1 st fault as t1=Yn-Y1;
Then the component Q is at time t1The average time interval T within which a fault occurs is:
1.3) establishing X1、X2、…Xn-1The standard normal distribution function f (t) of (a) is:
step two, evaluating the reliability life S of the component Q, comprising the following steps:
2.1) calculating the standard normal distribution function f (T) at T with a value μ:
2.2) evaluating the reliability life S of the part Q:
thirdly, accumulating the service time delta t of the component Q by taking the nth time component Q fault occurrence time data as a starting point;
if the component Q does not break down when in use and the service time of the component Q is more than 0.9S and less than or equal to delta t and less than or equal to S, service life early warning information is sent to the intelligent terminal equipment;
if the component Q fails or is maintained during use, cleaning the latest continuous n times of failure occurrence time data in the step one, and taking the current component Q failure occurrence time data of the bridge crane as the nth failure occurrence time data YnAnd returning to the step one.
Further, in the first step, n is not less than 100 and is a positive integer.
Further, in the third step, if no fault occurs when the component Q is used, and the service time S of the component Q is less than Δ t, alarm information is sent to the intelligent terminal device.
By adopting the technical scheme, the invention has the beneficial effects that: according to the disassembly-free bridge crane reliability assessment method, the time interval X of each fault occurrence is established by mining the time data of the Q fault occurrence of the component1、X2、…Xn-1The standard normal distribution function f (t) of (2) is, and the reliability life S of the component Q is evaluated based on the standard normal distribution function f (t); based on the reliability life S and the service time delta t of the component Q, if the component Q is not in fault during use and the service time delta t of the component Q is more than 0.9S and less than or equal to S, service life early warning information is sent to the intelligent terminal equipment; if the component Q does not break down when in use and the service time S of the component Q is less than delta t, alarm information is sent to the intelligent terminal equipment; the accurate maintenance of bridge crane is favorable to realizing.
Detailed Description
The invention will now be further described with reference to specific embodiments.
When the component Q of the bridge crane fails for the first time, recording the time of the first failure of the component Q as Y1I.e. cumulative use of bridge cranes Y1When small, component Q fails for the first time. When the component Q of the bridge crane fails for the second time, recording the time of the second failure of the component Q as Y2I.e. cumulative use of bridge cranes Y2Second failure of component Q. By analogy, if the component Q of the bridge crane breaks down for the nth time, the time for the component Q to break down for the nth time is recorded as YnI.e. cumulative use of bridge cranes YnWhen it is small, the component Q fails the nth time.
The embodiment provides a disassembly-free bridge crane reliability assessment method which is characterized by comprising the following steps:
step one, importing bridge crane fault occurrence time data for preprocessing, and comprising the following substeps:
1.1) importing latest continuous n times of fault occurrence time data of a component Q of the bridge crane; sequentially sorting the failure occurrence time data of the component Q in sequence, wherein the failure occurrence time data are respectively Y1、Y2、Y3、…、Yn(ii) a n is more than or equal to 100, n is a positive integer, and the larger the numerical value of n is, the more accurate the reliability life of the evaluation component Q is. The component Q is a cover plate, a web plate, a hydraulic lifting platform, a lifting rope and the like of the bridge crane.
Calculating the interval X between the 1 st fault occurrence time and the 2 nd fault occurrence time1=Y2-Y1(ii) a Interval X between 2 nd fault occurrence time and 3 rd fault occurrence time2=Y3-Y2(ii) a …, respectively; by analogy, the time interval X between the n-1 th fault occurrence time and the nth fault occurrence timen-1=Yn-Yn-1;
1.2) calculating the time interval between the time of occurrence of the nth fault and the time of occurrence of the 1 st fault as t1=Yn-Y1;
Then the component Q is at time t1The average time interval T within which a fault occurs is:
1.3) establishing X1、X2、…Xn-1The standard normal distribution function f (t) of (a) is:
step two, evaluating the reliability life S of the component Q, comprising the following steps:
2.1) calculating the standard normal distribution function f (T) at T with a value μ:
2.2) evaluating the reliability life S of the part Q:
thirdly, accumulating the service time delta t of the component Q by taking the nth time component Q fault occurrence time data as a starting point;
if the component Q does not break down when in use and the service time of the component Q is more than 0.9S and less than or equal to delta t and less than or equal to S, service life early warning information is sent to the intelligent terminal equipment; the service life warning information includes a remaining maintenance time P for maintaining the component Q within a reliability life S1Reminding a user of maintaining the component Q in time;
if the component Q does not break down when in use and the service time S of the component Q is less than delta t, alarm information is sent to the intelligent terminal equipment; the alarm information includes a time P at which the cumulative use time Deltat of the component Q exceeds the reliability life S2Reminding a user that the component Q must be maintained;
if the component Q fails or is maintained during use, cleaning the latest continuous n times of failure occurrence time data in the step one, and taking the current component Q failure occurrence time data of the bridge crane as the nth failure occurrence time data YnAnd returning to the step one.
The intelligent terminal equipment is a computer, a mobile phone or an industrial control host and the like.
The disassembly-free bridge crane reliability assessment method avoids disassembling components of the bridge crane. By mining the fault occurrence time data of the component Q, the reliability life of the component Q is evaluated, and the bridge crane is beneficial to realizing accurate maintenance.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (3)
1. The method for evaluating the reliability of the disassembly-free bridge crane is characterized by comprising the following steps of:
step one, importing bridge crane fault occurrence time data for preprocessing, and comprising the following substeps:
1.1) importing latest continuous n times of fault occurrence time data of a component Q of the bridge crane; sequentially sorting the failure occurrence time data of the component Q in sequence, wherein the failure occurrence time data are respectively Y1、Y2、Y3、…、Yn;
Calculating the interval X between the 1 st fault occurrence time and the 2 nd fault occurrence time1=Y2-Y1(ii) a Interval X between 2 nd fault occurrence time and 3 rd fault occurrence time2=Y3-Y2(ii) a …, respectively; by analogy, the time interval X between the n-1 th fault occurrence time and the nth fault occurrence timen-1=Yn-Yn-1;
1.2) calculating the time interval between the time of occurrence of the nth fault and the time of occurrence of the 1 st fault as t1=Yn-Y1;
Then the component Q is at time t1The average time interval T within which a fault occurs is:
1.3) establishing X1、X2、…Xn-1The standard normal distribution function f (t) of (a) is:
step two, evaluating the reliability life S of the component Q, comprising the following steps:
2.1) calculating the standard normal distribution function f (T) at T with a value μ:
2.2) evaluating the reliability life S of the part Q:
thirdly, accumulating the service time delta t of the component Q by taking the nth time component Q fault occurrence time data as a starting point;
if the component Q does not break down when in use and the service time of the component Q is more than 0.9S and less than or equal to delta t and less than or equal to S, service life early warning information is sent to the intelligent terminal equipment;
if the component Q fails or is maintained during use, cleaning the latest continuous n times of failure occurrence time data in the step one, and taking the current component Q failure occurrence time data of the bridge crane as the nth failure occurrence time data YnAnd returning to the step one.
2. The method for evaluating the reliability of a disassembly-free bridge crane according to claim 1, wherein: in the first step, n is more than or equal to 100 and is a positive integer.
3. The disassembly-free bridge crane reliability evaluation method as claimed in claim 1 or 2, wherein: and in the third step, if the component Q is not in fault when in use and the service time S of the component Q is less than delta t, alarm information is sent to the intelligent terminal equipment.
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Cited By (2)
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CN113361936A (en) * | 2021-06-09 | 2021-09-07 | 中联重科股份有限公司 | Reliability analysis method, device and system for crane |
CN114169169A (en) * | 2021-12-08 | 2022-03-11 | 福建省特种设备检验研究院泉州分院 | Reliability analysis system for bridge crane equipment |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN114169169B (en) * | 2021-12-08 | 2024-05-10 | 福建省特种设备检验研究院泉州分院 | Bridge crane equipment reliability analysis system |
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