CN111739188A - AGV fault growth rate determination method and apparatus - Google Patents

AGV fault growth rate determination method and apparatus Download PDF

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CN111739188A
CN111739188A CN201910962771.1A CN201910962771A CN111739188A CN 111739188 A CN111739188 A CN 111739188A CN 201910962771 A CN201910962771 A CN 201910962771A CN 111739188 A CN111739188 A CN 111739188A
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period
determining
ratio
agv
fault
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CN111739188B (en
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范超
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Beijing Jingdong Qianshi Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
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Abstract

The application provides a method and a device for determining an AGV fault growth rate of an automatic guided vehicle, wherein the method comprises the following steps: respectively counting the times of various faults of each AGV aiming at a time t1 and a time t 2; respectively determining the sum of various fault times in the time period t1 and the time period t2 according to the fault types; determining for each fault a ratio of the sum of the corresponding number of faults for time period t2 and time period t 1; determining the geometric mean a of the ratio of the sum of all the number of faultst2/t1(ii) a Determining the ratio E of the task volumes of all AGVs during time period t2 and time period t1t2/t1(ii) a The AGV fault increase rate determined for the period t2 compared to the period t1 is Et2/t1/at2/t1. The method can improve the accuracy of determining the AGV fault growth rate.

Description

AGV fault growth rate determination method and apparatus
Technical Field
The invention relates to the technical field of AGV, in particular to a method and a device for determining the AGV fault growth rate.
Background
In the development of the unmanned storehouse or the actual operation of the unmanned storehouse, the fault growth rate of an Automatic Guided Vehicle (AGV) is periodically counted and determined so as to find out the problems existing in the AGV and the current equipment health degree in time.
At present, the fault growth rate of the AGV is determined by directly summing various faults and dividing the data in the current period by the data in the previous period.
Number of failures as above period: derailment failure: 20; heartbeat timeout: 30, of a nitrogen-containing gas; battery abnormality: 50;
number of failures in this period: derailment failure: 40; heartbeat timeout: 50; battery abnormality 60.
Then the rate of the failure increase for the AGV of the current period, as determined using the existing implementation, is (40+50+60)/(20+30+50) 150% or expressed as 50%.
The current drawbacks that determine the rate of increase of a fault are: different kinds of faults are directly summed, however, the different kinds of faults are summed to lose significance, and the same kind of errors are summed to have significance.
And determining that the result has logical contradiction and does not meet the base period invariance. For example, when the two-phase data is interchanged, the substance of the comparison result is changed.
Therefore, the fault growth rate of the AGV determined by the method is not accurate enough, and the problems of the AGV cannot be reflected.
Disclosure of Invention
In view of this, the present application provides an AGV fault growth rate determining method and apparatus, which can improve accuracy of determining an AGV fault growth rate.
In order to solve the technical problem, the technical scheme of the application is realized as follows:
a method for determining an AGV fault growth rate comprises the following steps:
respectively counting the times of various faults of each AGV aiming at a time t1 and a time t 2;
respectively determining the sum of various fault times in the time period t1 and the time period t2 according to the fault types;
determining for each fault a ratio of the sum of the corresponding number of faults for time period t2 and time period t 1;
determining the geometric mean a of the ratio of the sum of all the number of faultst2/t1；
Determining the ratio E of the task volumes of all AGVs during time period t2 and time period t1t2/t1；
Determining a time periodthe AGV Fault growth Rate of t2 compared to time period t1 is Et2/t1/at2/t1。
A method for determining an AGV fault growth rate comprises the following steps:
respectively counting the times of various faults of each AGV according to the period A, the period B and the period C;
respectively determining the sum of various failure times in the period A, the period B and the period C according to the failure types;
respectively determining the ratio of the sum of the corresponding failure times of every two periods in the period A, the period B and the period C aiming at each failure;
respectively determining the geometric mean value of the ratio of the sum of all the fault times of every two periods in the period A, the period B and the period C;
determining the ratio of the task quantities of all AGVs in two periods of the period A, the period B and the period C;
and determining the AGV fault growth rate in any two periods according to the geometric mean value and the determined ratio of the task quantities.
An AGV fault growth rate determination apparatus, the apparatus comprising: the device comprises a counting unit, a first determining unit, a second determining unit, a third determining unit, a fourth determining unit and a fifth determining unit;
the counting unit is used for respectively counting the times of various faults of each AGV aiming at a time t1 and a time t 2;
the first determining unit is used for respectively determining the sum of various fault times in the time period t1 and the time period t2 according to fault types;
the second determination unit for determining a ratio of a sum of corresponding failure times of the time period t2 and the time period t1 for each failure;
the third determination unit is used for determining the geometric mean value a of the ratio of the sum of all the fault timest2/t1；
The fourth determining unit for determining the ratio E of the task amounts of all AGVs in the period t2 and the period t1t2/t1；
The fifth determining unit for determining that the AGV fault increase rate of the period t2 compared to the period t1 is Et2/t1/at2/t1。
An AGV fault growth rate determination apparatus, the apparatus comprising: the device comprises a counting unit, a first determining unit, a second determining unit, a third determining unit, a fourth determining unit and a fifth determining unit;
the counting unit is used for respectively counting the times of various faults of each AGV aiming at the period A, the period B and the period C;
the first determining unit is used for respectively determining the sum of various failure times in the period A, the period B and the period C according to the failure types;
the second determining unit is used for respectively determining the ratio of the sum of the corresponding failure times of every two periods in the period A, the period B and the period C aiming at each failure;
the third determining unit is used for respectively determining the geometric mean value a of the ratio of the sum of all the fault times of every two periods in the period A, the period B and the period CA/B、aA/C、aB/A、aB/C、aC/A、aC/B；
The fourth determination unit is used for determining the ratio E of the task quantities of all AGVs in two periods of the period A, the period B and the period CA/B、EA/C、EB/A、EB/C、EC/A、EC/B；
And the fifth determining unit is used for determining the AGV fault growth rate in any two periods according to the geometric mean value and the determined ratio of the task quantities.
An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor performing the steps of the AGV fault growth rate determination method.
A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the steps of an AGV fault growth rate determination method.
An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements steps such as an AGV failure growth rate determination method when executing the program.
A computer-readable storage medium having stored thereon a computer program, characterized in that the program, when being executed by a processor, carries out the steps of the AGV fault growth rate determination method.
According to the technical scheme, the AGV fault growth rate is finally determined by respectively counting different faults and determining the fault ratio through geometric mean after the fault ratio is determined, so that the result has base period invariance and the influence of the task quantity on the faults is considered. The method and the device can improve the accuracy of determining the AGV fault growth rate.
Drawings
FIG. 1 is a schematic diagram illustrating an AGV fault growth rate determination process according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating an AGV fault growth rate determination process according to a second embodiment of the present application;
FIG. 3 is a schematic diagram of an apparatus according to the present technology applied to the first embodiment;
FIG. 4 is a schematic diagram of an apparatus according to the second embodiment of the present application;
fig. 5 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention;
fig. 6 is a schematic physical structure diagram of an electronic device according to a second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly apparent, the technical solutions of the present invention are described in detail below with reference to the accompanying drawings and examples.
The embodiment of the application provides an AGV fault growth rate determining method, through respectively counting different faults, determining through geometric mean after determining a fault ratio, enabling a result to have base period invariance, and considering influences of a task amount on the faults so as to finally determine the AGV fault growth rate. According to the scheme, the accuracy of determining the AGV fault growth rate can be improved, the problems existing in the AGV can be found, the normal operation of each AGV is guaranteed, and the working efficiency is improved.
The AGV fault growth rate determination process in the embodiment of the present application is described in detail below with reference to the accompanying drawings. The main body for executing the determination method is a determination device, and can be applied to a piece of equipment, such as a PC.
The facility can acquire the number of failures, the amount of tasks, and the like of the AGV in the relevant period for which the growth rate needs to be determined.
Example one
The correlation information for two periods is used in this embodiment to determine the AGV fault growth rate between the two periods.
Taking time period t1 and time period t2 as examples.
The time period t1 and the time period t2 may be two consecutive time periods, or may be discontinuous, i.e., the AGV fault growth rate may be determined for any two time periods, as desired.
The period in the embodiment of the present application is a preset period, and may be set according to actual needs, which is not limited herein.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a process of determining an AGV fault growth rate according to an embodiment of the present application. The method comprises the following specific steps:
in step 101, the number of times of each fault of each AGV is counted for the time period t1 and the time period t2, respectively.
The type of fault can be configured according to practical application, such as: derailment, heartbeat timeout, battery abnormality, etc.
Order to
Figure BDA0002229478950000051
Indicating the number of times the ith AGV failed in the jth fault during time t1, and causing
Figure BDA0002229478950000052
The number of times of j faults occurring in the ith AGV at time t2 is shown, and m faults of n AGVs are set.
And step 102, respectively determining the sum of various failure times in the time period t1 and the time period t2 according to the failure types.
Counting the number of various faults in t1 and t2 periods according to the fault types
Figure BDA0002229478950000053
The sum of the j-th fault occurring in n AGVs in the period t1 is shown
Figure BDA0002229478950000054
Represents the sum of the j-th fault occurring in n AGVs in the period t2, which is as follows:
Figure BDA0002229478950000055
Figure BDA0002229478950000056
in order to prevent the case where the value 0 appears in the denominator or in the determination in step 103, so that the determination cannot be completed, preset values are respectively added to the sums of the corresponding failure times for the period t2 and the period t 1; namely to
Figure BDA0002229478950000057
And
Figure BDA0002229478950000058
the preset values can be respectively increased by adjusting, and specifically, 1 can be respectively added when the adjustment is realized.
Step 103, the ratio of the sum of the corresponding number of failures for time period t2 and time period t1 is determined for each failure.
Figure BDA0002229478950000059
zjIndicating the ratio of the sum of the number of failures for time period t2 and time period t1 for the jth failure.
Step 104, determine the geometric mean of the ratio of the sum of all failure times.
The geometric mean of the ratio of the sum of all the number of faults is denoted as at2/t1；
Figure BDA0002229478950000061
The geometric mean value is determined by a geometric mean algorithm, so that the result has the characteristic of base period invariance, namely, the essence of the result is not changed whether t1 or t2 is selected as the base period (denominator).
Step 105, determines the ratio of the task volumes of all AGVs during time period t2 and time period t 1.
The ratio of the task size of all AGVs in time period t2 and time period t1 is denoted as Et2/t1。
In the step, the influence of the task quantity on the fault is considered, and the fault times with large task quantity can have obvious influence under the common condition.
The embodiment of the application is not limited to the statistical method of the task quantity, such as the number of orders, the number of driving distances and the like.
The embodiment of the application provides a specific implementation process for representing task quantity by using the travel distance:
respectively counting the travel distance of each AGV in the time period t2 and the time period t 1; are used separately
Figure BDA0002229478950000062
And
Figure BDA0002229478950000063
and (4) showing.
Determining the sum of the AGV travel distances in the time period t2 and the time period t1 respectively; are used separately
Figure BDA0002229478950000064
And
Figure BDA0002229478950000065
and (4) showing.
Et2/t1The ratio of the total distance traveled by the AGVs during the time period t2 to the total distance traveled by the AGVs during the time period t 1:
Et2/t1＝Dt2/Dt1。
and 106, determining the AGV fault increase rate of the time period t2 compared with the AGV fault increase rate of the time period t1 according to the ratio of the geometric mean value to the task quantity.
The AGV fault growth rate for time period t2 compared to time period t1 is: ft2/t1＝Et2/t1/at2/t1。
In the embodiment of the application, the determined AGV fault growth rate can be directly used as the determined AGV fault growth rate, and the value obtained by subtracting 1 can also be used as the determined AGV fault growth rate.
The realization mode avoids the defect of directly summing different faults, and the influence of a unit is eliminated by comparing the same fault, and the mean determination is carried out after the same fault is converted into a dimensionless numerical value; and the influence of the task quantity on the fault is removed, so that the accuracy of determining the fault growth rate of the AGV is improved.
Example two
The correlation information for three periods is used in this embodiment to determine the AGV fault growth rate between two periods.
Taking period A, period B and period C as examples.
Periods C, B and A are three consecutive periods, or non-consecutive periods, that is, three periods may be used to determine the AGV fault growth rate for any two periods, as desired.
The period in the embodiment of the present application is a preset period, and may be set according to actual needs, which is not limited herein.
Referring to fig. 2, fig. 2 is a schematic diagram of a process for determining an AGV fault growth rate according to a second embodiment of the present application. The method comprises the following specific steps:
in step 201, the number of times of each fault of each AGV is counted for each of the period a, the period B, and the period C.
The type of fault can be configured according to practical application, such as: derailment, heartbeat timeout, battery abnormality, etc.
Order to
Figure BDA0002229478950000071
Indicating the number of times that the ith AGV has the jth fault in the period A, and order
Figure BDA0002229478950000072
Indicating that the ith AGV sent in the period BThe number of j-th faults, order
Figure BDA0002229478950000073
And the number of j faults of the ith AGV in the period C is shown, and m faults of n AGVs are set.
In step 202, the sum of the number of times of various faults in the period A, the period B and the period C is determined according to the fault types.
The number of various faults in A, B, C three periods is counted according to the fault types
Figure BDA0002229478950000074
The sum of j faults of n AGVs in the period A is shown
Figure BDA0002229478950000075
The sum of j faults of n AGVs in the period B is shown
Figure BDA0002229478950000076
The total of the j-th faults of n AGVs in the period C is shown as follows:
Figure BDA0002229478950000077
Figure BDA0002229478950000078
Figure BDA0002229478950000081
in order to prevent the case where the value 0 appears in the denominator or in the determination in step 203, so that the determination cannot be completed, preset values are respectively added to the sums of the corresponding failure times of the period a, the period B, and the period C; namely to
Figure BDA0002229478950000082
And
Figure BDA0002229478950000083
the preset values can be respectively increased by adjusting, and specifically, 1 can be respectively added when the adjustment is realized.
Step 203, respectively determining the ratio of the sum of the corresponding failure times of every two periods in the period A, the period B and the period C aiming at each failure.
In the case of the j-th failure,
Figure BDA0002229478950000084
Figure BDA0002229478950000085
to be provided with
Figure BDA0002229478950000086
For example, the ratio of the total number of failures corresponding to the jth failure in the period a and the period B is shown.
And step 204, respectively determining the geometric mean value of the ratio of the sum of all the fault times of every two periods in the period A, the period B and the period C.
The geometric mean of the ratio of the sum of all the number of faults in the period A and the period B is denoted as aA/B；
Figure BDA0002229478950000087
Geometric mean value a of the ratio of the sum of all the failure times in the other two periodsA/C、aB/A、aB/C、aC/A、aC/BAnd aA/BSimilarly, this is not given here.
The geometric mean is determined by a geometric mean algorithm, so that the result has the characteristic of constant base period, namely whether A, B or C is selected as the base period (denominator), the essence of the result is not changed.
Step 205, determining the ratio of the task quantities of all AGVs in two periods of the period A, the period B and the period C.
In this step, two periods of the period A, the period B and the period C are determinedRatio E of the task volumes of all AGVsA/B、EA /C、EB/A、EB/C、EC/A、EC/BThe method specifically comprises the following steps:
respectively counting the travel distance of each AGV in the period A, the period B and the period C;
respectively determining the total sum of the AGV traveling distances in the period A, the period B and the period C;
determining the ratio of the total distance traveled by the AGVs in the period A to the total distance traveled by the AGVs in the period B as EA/B；
Determining the ratio of the total distance traveled by the AGVs in the period A to the total distance traveled by the AGVs in the period C as EA/C；
Determining the ratio of the total distance traveled by the AGVs in the period B to the total distance traveled by the AGVs in the period A as EB/A；
Determining the ratio of the total distance traveled by the AGVs in the period B to the total distance traveled by the AGVs in the period C as EB/C；
Determining the ratio of the total distance traveled by the AGVs in the period C to the total distance traveled by the AGVs in the period A as EC/A；
Determining the ratio of the total distance traveled by the AGVs in the period C to the total distance traveled by the AGVs in the period B as EC/B。
And step 206, determining the AGV fault growth rate in any two periods according to the geometric mean value and the determined ratio of the task quantities.
The specific implementation process of step 206 is as follows:
determining the AGV fault growth rate of the period A compared with the period B as follows:
Figure BDA0002229478950000091
determining the AGV fault growth rate of the period A compared with the period C as follows:
Figure BDA0002229478950000092
determining the AGV fault growth rate of the period B compared with the period C as follows:
Figure BDA0002229478950000093
wherein, FA/A、FB/B、FC/CThe values of (A) are all 1; fA/B＝aA/B/EA/B，FA/C＝aA/C/EA/C，FB/A＝aB/A/EB/A，FB/C＝aB/C/EB/C，FC/A＝aC/A/EC/A，FC/B＝aC/B/EC/B。
As for determining the AGV fault growth rate of period B compared to period A, a similar formula can be used for determination, and the reciprocal of the AGV fault growth rate of period A compared to period B can also be used for determination;
as for determining the AGV fault growth rate of period A compared with period C, a similar formula can be used for determining, and the AGV fault growth rate of period C compared with period A can also be determined by using the reciprocal of the fault growth rate of period C compared with period A;
as for determining the AGV fault growth rate for period B versus period C, a similar formula may be used, or the inverse of the AGV fault growth rate for period C versus period B may be used.
The realization mode avoids the defect of directly summing different faults, and the influence of a unit is eliminated by comparing the same fault, and the mean determination is carried out after the same fault is converted into a dimensionless numerical value; the influence of the task quantity on the fault is removed in the determination process, and the result determined by the implementation mode is also conductive, so that the result is not contradictory logically, namely the result is more reasonable; therefore, the accuracy of determining the AGV fault growth rate is guaranteed.
Based on the same inventive concept, the embodiment of the application also provides an AGV fault growth rate determining device. Referring to fig. 3, fig. 3 is a schematic structural diagram of an apparatus according to the present application applied to the technology of the first embodiment. The device includes: a counting unit 301, a first determining unit 302, a second determining unit 303, a third determining unit 304, a fourth determining unit 305, and a fifth determining unit 306;
a counting unit 301, configured to count the number of times of each fault of each AGV for a time period t1 and a time period t2, respectively;
a first determining unit 302 for determining the sum of the number of times of various failures within the time period t1 and the time period t2, respectively, according to the types of failures;
a second determining unit 303 for determining a ratio of the sum of the corresponding failure times of the time period t2 and the time period t1 for each failure;
a third determination unit 304 for determining the geometric mean a of the ratio of the sum of all failure timest2/t1；
A fourth determining unit 305 for determining a ratio E of the task amounts of all AGVs in the period t2 and the period t1t2/t1；
A fifth determining unit 306 for determining the AGV fault increase rate E of the period t2 compared to the period t1t2/t1/at2/t1。
Preferably, the first and second liquid crystal films are made of a polymer,
a counting unit 301, further counting the travel distance of each AGV in the time period t2 and the time period t1, respectively;
a fourth determination unit 305 for determining the total of the AGV traveling distances in the time period t2 and the time period t1, respectively; determination of Et2/t1Is the ratio of the total distance traveled by the AGVs during time period t2 to the total distance traveled by the AGVs during time period t 1.
Preferably, the first and second liquid crystal films are made of a polymer,
the second determining unit 303 is further configured to increase the sum of the corresponding failure times for the period t2 and the period t1 by preset values, respectively, before determining the ratio of the sum of the corresponding failure times for the period t2 and the period t1 for each failure.
Preferably, the first and second liquid crystal films are made of a polymer,
the time period t1 and the time period t2 are two consecutive time periods, or discontinuous time periods.
Based on the same inventive concept, the embodiment of the application also provides an AGV fault growth rate determining device. Referring to fig. 4, fig. 4 is a schematic structural diagram of an apparatus according to the second embodiment of the present application. The device includes: a counting unit 401, a first determining unit 402, a second determining unit 403, a third determining unit 404, a fourth determining unit 405, and a fifth determining unit 406;
a counting unit 401 for counting the number of times of each fault of each AGV for the period a, the period B, and the period C, respectively;
a first determination unit 402 for determining the total of the number of times of various failures in the period a, the period B, and the period C, respectively, according to the types of failures;
a second determining unit 403, configured to determine, for each fault, a ratio of the sum of the numbers of faults corresponding to two periods in the period a, the period B, and the period C;
a third determination unit 404 for determining a geometric mean value a of a ratio of a sum of all failure times of two periods in the period a, the period B and the period C, respectivelyA/B、aA/C、aB/A、aB/C、aC/A、aC/B；
A fourth determination unit 405 for determining the ratio E of the task amounts of all AGVs in two periods of the period A, the period B and the period CA/B、EA/C、EB/A、EB/C、EC/A、EC/B；
And a fifth determining unit 406, configured to determine an AGV fault growth rate of any two periods according to the geometric mean and the determined ratio of the task quantities.
Preferably, the first and second liquid crystal films are made of a polymer,
the fifth determining unit 406 is specifically configured to determine that the AGV fault increase rate of the period a compared to the period B is:
Figure BDA0002229478950000121
determining the AGV fault growth rate of the period A compared with the period C as follows:
Figure BDA0002229478950000122
determining the AGV fault growth rate of the period B compared with the period C as follows:
Figure BDA0002229478950000123
wherein, FA/A、FB/B、FC/CThe values of (A) are all 1; fA/B＝aA/B/EA/B，FA/C＝aA/C/EA/C，FB/A＝aB/A/EB/A，FB/C＝aB/C/EB/C，FC/A＝aC/A/EC/A，FC/B＝aC/B/EC/B；aA/B、aA/C、aB/A、aB /C、aC/A、aC/BThe geometric mean value of the ratio of the sum of all the fault times of every two periods in the period A, the period B and the period C; eA/B、EA/C、EB/A、EB/C、EC/A、EC/BThe ratio of the workload of all AGVs in each of the two periods A, B and C.
Preferably, the first and second liquid crystal films are made of a polymer,
a counting unit 401 for counting the travel distance of each AGV in the period a, the period B, and the period C, respectively;
a fourth determination unit 405, specifically, for determining the total sum of the AGV travel distances in the period a, the period B, and the period C, respectively; determining the ratio of the total distance traveled by the AGVs in the period A to the total distance traveled by the AGVs in the period B as EA/B(ii) a Determining the ratio of the total distance traveled by the AGVs in the period A to the total distance traveled by the AGVs in the period C as EA/C(ii) a Determining the ratio of the total distance traveled by the AGVs in the period B to the total distance traveled by the AGVs in the period A as EB/A(ii) a Determining the ratio of the total distance traveled by the AGVs in the period B to the total distance traveled by the AGVs in the period C as EB/C(ii) a Determining the ratio of the total distance traveled by the AGVs in the period C to the total distance traveled by the AGVs in the period A as EC/A(ii) a Determining the ratio of the total distance traveled by the AGVs in the period C to the total distance traveled by the AGVs in the period B as EC/B。
Preferably, the first and second liquid crystal films are made of a polymer,
the second determining unit 403 is further configured to increase the preset value for the sum of the number of corresponding failures in each period before determining the ratio of the sum of the number of corresponding failures in each period of the period a, the period B, and the period C for each failure.
Preferably, the first and second liquid crystal films are made of a polymer,
period C, period B and period a are three consecutive periods, or discontinuous periods.
The units of the above embodiments may be integrated into one body, or may be separately deployed; may be combined into one unit or further divided into a plurality of sub-units.
In summary, the present application avoids the disadvantage of directly summing up different kinds of faults, and eliminates the influence of units by comparing the same kind of faults, and then performs average determination after being converted into dimensionless numerical values; the influence of the task quantity on the fault is removed in the determination process, and the result determined by the implementation mode is also conductive, so that the result is not contradictory logically, namely the result is more reasonable; therefore, the accuracy of determining the AGV fault growth rate is guaranteed.
In addition, an electronic device is provided in an embodiment of the present application, and includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method for determining an AGV fault growth rate according to the first embodiment.
In addition, a computer-readable storage medium is further provided in the embodiments of the present application, and a computer program is stored thereon, and when being executed by a processor, the computer program implements the steps of the method for determining an AGV fault growth rate in the first embodiment.
Fig. 5 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 5, the electronic device may include: a processor (processor)510, a communication Interface (Communications Interface)520, a memory (memory)530 and a communication bus 540, wherein the processor 510, the communication Interface 520 and the memory 530 communicate with each other via the communication bus 540. Processor 510 may call logic instructions in memory 530 to perform the following method:
respectively counting the times of various faults of each AGV aiming at a time t1 and a time t 2;
respectively determining the sum of various fault times in the time period t1 and the time period t2 according to the fault types;
determining for each fault a ratio of the sum of the corresponding number of faults for time period t2 and time period t 1;
determining the geometric mean a of the ratio of the sum of all the number of faultst2/t1；
Determining the ratio E of the task volumes of all AGVs during time period t2 and time period t1t2/t1；
The AGV fault increase rate determined for the period t2 compared to the period t1 is Et2/t1/at2/t1。
Furthermore, the logic instructions in the memory 530 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
In addition, an electronic device is further provided in an embodiment of the present application, and includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method for determining an AGV fault increase rate according to embodiment two.
In addition, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the method for determining an AGV fault growth rate as described in embodiment two.
Fig. 6 is a schematic physical structure diagram of an electronic device according to a second embodiment of the present invention. As shown in fig. 6, the electronic device may include: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call logic instructions in the memory 630 to perform the following method:
respectively counting the times of various faults of each AGV according to the period A, the period B and the period C;
respectively determining the sum of various failure times in the period A, the period B and the period C according to the failure types;
respectively determining the ratio of the sum of the corresponding failure times of every two periods in the period A, the period B and the period C aiming at each failure;
respectively determining the geometric mean value of the ratio of the sum of all the fault times of every two periods in the period A, the period B and the period C;
determining the ratio of the task quantities of all AGVs in two periods of the period A, the period B and the period C;
and determining the AGV fault growth rate in any two periods according to the geometric mean value and the determined ratio of the task quantities.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (14)

1. A method for determining an AGV fault growth rate is characterized by comprising the following steps:
respectively counting the times of various faults of each AGV aiming at a time t1 and a time t 2;
respectively determining the sum of various fault times in the time period t1 and the time period t2 according to the fault types;
determining for each fault a ratio of the sum of the corresponding number of faults for time period t2 and time period t 1;
determining the geometric mean a of the ratio of the sum of all the number of faultst2/t1；
Determining the ratio E of the task volumes of all AGVs during time period t2 and time period t1t2/t1；
The AGV fault increase rate determined for the period t2 compared to the period t1 is Et2/t1/at2/t1。
2. The method of claim 1 wherein said determining the ratio E of the task size of all AGVs during time period t2 and time period t1t2/t1The method comprises the following steps:
respectively counting the travel distance of each AGV in the time period t2 and the time period t 1;
determining the sum of the AGV travel distances in the time period t2 and the time period t1 respectively;
Et2/t1is the ratio of the total distance traveled by the AGVs during time period t2 to the total distance traveled by the AGVs during time period t 1.
3. The method of claim 1, wherein prior to determining for each fault a ratio of a sum of corresponding numbers of faults for time period t2 and time period t1, the method further comprises:
the preset values are respectively increased for the sum of the corresponding failure times of the period t2 and the period t 1.
4. The method according to any one of claims 1-3, wherein the time period t1 and the time period t2 are two consecutive time periods, or non-consecutive time periods.
5. A method for determining an AGV fault growth rate is characterized by comprising the following steps:
respectively counting the times of various faults of each AGV according to the period A, the period B and the period C;
respectively determining the sum of various failure times in the period A, the period B and the period C according to the failure types;
respectively determining the ratio of the sum of the corresponding failure times of every two periods in the period A, the period B and the period C aiming at each failure;
respectively determining the geometric mean value of the ratio of the sum of all the fault times of every two periods in the period A, the period B and the period C;
determining the ratio of the task quantities of all AGVs in two periods of the period A, the period B and the period C;
and determining the AGV fault growth rate in any two periods according to the geometric mean value and the determined ratio of the task quantities.
6. The method of claim 5, wherein said determining an AGV fault growth rate for any two periods based on said geometric mean and a ratio of determined task volumes comprises:
determining the AGV fault growth rate of the period A compared with the period B as follows:
Figure FDA0002229478940000021
determining the AGV fault growth rate of the period A compared with the period C as follows:
Figure FDA0002229478940000022
determining the AGV fault growth rate of the period B compared with the period C as follows:
Figure FDA0002229478940000023
wherein, FA/A、FB/B、FC/CThe values of (A) are all 1; fA/B＝aA/B/EA/B，FA/C＝aA/C/EA/C，FB/A＝aB/A/EB/A，FB/C＝aB /C/EB/C，FC/A＝aC/A/EC/A，FC/B＝aC/B/EC/B；aA/B、aA/C、aB/A、aB/C、aC/A、aC/BThe geometric mean value of the ratio of the sum of all the fault times of every two periods in the period A, the period B and the period C; eA/B、EA/C、EB/A、EB/C、EC/A、EC/BThe ratio of the workload of all AGVs in each of the two periods A, B and C.
7. The method of claim 6 wherein said determining the ratio E of the workload of all AGVs in each of periods A, B and C is done by determining the ratio of the workload of all AGVs in each of periods A, B and CA/B、EA/C、EB/A、EB/C、EC/A、EC/BThe method comprises the following steps:
respectively counting the travel distance of each AGV in the period A, the period B and the period C;
respectively determining the total sum of the AGV traveling distances in the period A, the period B and the period C;
determining the ratio of the total distance traveled by the AGVs in the period A to the total distance traveled by the AGVs in the period B as EA/B；
Determining the ratio of the total distance traveled by the AGVs in the period A to the total distance traveled by the AGVs in the period C as EA/C；
Determining the ratio of the total distance traveled by the AGVs in the period B to the total distance traveled by the AGVs in the period A as EB/A；
Determining the ratio of the total distance traveled by the AGVs in the period B to the total distance traveled by the AGVs in the period C as EB/C；
Determining the ratio of the total distance traveled by the AGVs in the period C to the total distance traveled by the AGVs in the period A as EC/A；
Determining the ratio of the total distance traveled by the AGVs in the period C to the total distance traveled by the AGVs in the period B as EC/B。
8. The method of claim 6, wherein prior to determining for each fault a ratio of a sum of a number of faults corresponding to each of two of the periods A, B and C, respectively, the method further comprises:
and respectively increasing preset values for the sum of the corresponding failure times of each period.
9. The method according to any one of claims 5-8, wherein period C, period B and period A are three consecutive periods, or discontinuous periods.
10. An Automatic Guided Vehicle (AGV) failure growth rate determining apparatus, comprising: the device comprises a counting unit, a first determining unit, a second determining unit, a third determining unit, a fourth determining unit and a fifth determining unit;
the counting unit is used for respectively counting the times of various faults of each AGV aiming at a time t1 and a time t 2;
the first determining unit is used for respectively determining the sum of various fault times in the time period t1 and the time period t2 according to fault types;
the second determination unit for determining a ratio of a sum of corresponding failure times of the time period t2 and the time period t1 for each failure;
the third determination unit is used for determining the geometric mean value a of the ratio of the sum of all the fault timest2/t1；
The fourth determining unit for determining the ratio E of the task amounts of all AGVs in the period t2 and the period t1t2/t1；
The fifth determining unit for determining that the AGV fault increase rate of the period t2 compared to the period t1 is Et2/t1/at2/t1。
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-4 when executing the program.
12. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 4.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 5-9 when executing the program.
14. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 5-9.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008090682A (en) * 2006-10-03 2008-04-17 Sharp Corp Apparatus and method for providing module trouble information
CN103559555A (en) * 2013-10-29 2014-02-05 中航沈飞民用飞机有限责任公司 Method for optimizing product planned maintenance interval by civil airplane manufacturer
CN103678924A (en) * 2013-12-18 2014-03-26 南京理工大学 Method for determining failure mode risk priority numbers of key component of rail transit vehicle
CN104734871A (en) * 2013-12-20 2015-06-24 中兴通讯股份有限公司 Method and device for positioning failures
CN105550757A (en) * 2015-12-25 2016-05-04 中国铁路总公司 Fault statistic analysis based motor train unit repair decision method and apparatus
CN106021062A (en) * 2016-05-06 2016-10-12 广东电网有限责任公司珠海供电局 A relevant failure prediction method and system
CN109299545A (en) * 2018-09-26 2019-02-01 中国人民解放军92942部队 A kind of method of determining reliability growth test plan growth curve
CN110190617A (en) * 2019-06-06 2019-08-30 广东电网有限责任公司 Evaluation method, system, device and storage medium for multi-feed-in direct current power system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008090682A (en) * 2006-10-03 2008-04-17 Sharp Corp Apparatus and method for providing module trouble information
CN103559555A (en) * 2013-10-29 2014-02-05 中航沈飞民用飞机有限责任公司 Method for optimizing product planned maintenance interval by civil airplane manufacturer
CN103678924A (en) * 2013-12-18 2014-03-26 南京理工大学 Method for determining failure mode risk priority numbers of key component of rail transit vehicle
CN104734871A (en) * 2013-12-20 2015-06-24 中兴通讯股份有限公司 Method and device for positioning failures
CN105550757A (en) * 2015-12-25 2016-05-04 中国铁路总公司 Fault statistic analysis based motor train unit repair decision method and apparatus
CN106021062A (en) * 2016-05-06 2016-10-12 广东电网有限责任公司珠海供电局 A relevant failure prediction method and system
CN109299545A (en) * 2018-09-26 2019-02-01 中国人民解放军92942部队 A kind of method of determining reliability growth test plan growth curve
CN110190617A (en) * 2019-06-06 2019-08-30 广东电网有限责任公司 Evaluation method, system, device and storage medium for multi-feed-in direct current power system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杜德清: "《中国优秀硕士学位论文全文数据库》", 30 September 2016 *

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