CN107548543A - Reprocess probability forecasting method, device, server, terminal and storage medium - Google Patents
Reprocess probability forecasting method, device, server, terminal and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses one kind to reprocess probability forecasting method, device, server, terminal and storage medium.The fault rate of every kind of fault type of each terminal in terminal set is obtained by server, and determined to move back machine probability corresponding to the fault rate of every kind of fault type of each terminal according to server statistics, so as to obtain each terminal reprocess probability and terminal set reprocess number, probability is reprocessed in final acquisition terminal set, need not when user is actual replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, and the cost that probability is reprocessed in reduction greatly reduces.
Description
The present invention relates to fields of communication technology more particularly to one kind to reprocess probability forecasting method, device, server, terminal and storage medium.
Field failure rate (English: Field Failure Rate, referred to as: FFR), for measuring the index of terminal quality, refers specifically to terminal fault number and account for the ratio measured in guarantor, i.e., usually said " reprocessing probability ".When terminal FFR higher, terminal public praise will affect, increase company cost, therefore the lower a terminal FFR the better.
But the value of current FFR need to obtain user is actual replace machine after can just calculate, the time lags very much, and when find FFR higher, often cost has been generated, and reduces the higher cost of FFR, and there is presently no the schemes for predicting FFR.
Summary of the invention
The embodiment of the invention provides one kind to reprocess probability forecasting method, device, server, terminal and storage medium, to solve the problems, such as that obtain terminal at present reprocesses probability statistics time lag.
In a first aspect, providing one kind reprocesses probability forecasting method, which comprises
Obtain the failure rate of every kind of fault type of each terminal in terminal set；
It determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability；
The probability of reprocessing of each terminal is obtained, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability；
Obtain the number of reprocessing of the terminal set, the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set；
Obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
In this design, by the failure rate for obtaining every kind of fault type of each terminal in terminal set, and it determines that the failure rate of every kind of fault type of each terminal is corresponding by server statistics and moves back machine probability, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, can shift to an earlier date into
Row terminal is improved, and the cost that probability is reprocessed in reduction greatly reduces.
With reference to first aspect, in a kind of possible design, the failure rate for obtaining every kind of fault type of each terminal in terminal set, comprising:
The fault parameter that terminal uploads is received, the fault parameter includes at least the number of stoppages of a kind of fault type and every kind of fault type and terminal uses duration；
According to the fault parameter, the failure rate of every kind of fault type of each terminal is calculated, the failure rate of every kind of fault type of each terminal is that the number of stoppages of every kind of fault type uses the ratio of duration with the terminal.
In this design, the number of stoppages and terminal of the every kind of fault type uploaded according to terminal use duration, obtain the failure rate of every kind of fault type of each terminal with can be convenient, as the basis for reprocessing probability of computing terminal set, without until user is practical replace after machine could computing terminal set reprocess probability.
With reference to first aspect, in alternatively possible design, the failure rate of every kind of fault type of determination each terminal is corresponding to move back machine probability, comprising:
It determines that the failure rate of every kind of fault type of each terminal is corresponding by inquiring the failure rate of every kind of fault type and moving back the corresponding relationship of machine probability according to the failure rate of every kind of fault type of each terminal and moves back machine probability.
In this design, obtained by server statistics and the failure rate of every kind of fault type and move back the corresponding relationship of machine probability, according to the failure rate of every kind of fault type of each terminal, can inquire to obtain it is corresponding move back machine probability, it is simple, quick that machine probability is moved back in calculating.
With reference to first aspect, in another possible design, the fault type includes: system failure rate, using failure rate.
With reference to first aspect, in another possible design, if corresponding the sum of the machine probability that moves back of the failure rate of every kind of fault type of each terminal is greater than 1, the probability of reprocessing of each terminal takes 1, wherein each terminal reprocesses probability less than or equal to 1.
Second aspect provides a kind of fault parameter method for uploading, applied to the terminal with communication function, which comprises
When the terminal breaks down, the number of stoppages of at least one fault type occurred and the fault type occurred is recorded；
Fault parameter is uploaded to server, the fault parameter includes at least a kind of fault type and the event
The number of stoppages and terminal for hindering type use duration, so that the server is according to the fault parameter, that predicts terminal set reprocesses probability.
In this design, the fault parameter uploaded according to terminal, server obtains the failure rate of every kind of fault type of each terminal in which can be convenient, the basis for reprocessing probability as computing terminal set, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, and the cost that probability is reprocessed in reduction greatly reduces.
The third aspect provides one kind and reprocesses probabilistic forecasting device, and described device includes:
First acquisition unit, the failure rate of every kind of fault type for obtaining each terminal in terminal set；
Determination unit moves back machine probability for determining that the failure rate of every kind of fault type of each terminal is corresponding；
The first acquisition unit is also used to obtain the probability of reprocessing of each terminal, and the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability；
The first acquisition unit is also used to obtain the number of reprocessing of the terminal set, and the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set；
The first acquisition unit is also used to obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
Based on the same inventive concept, the principle and beneficial effect solved the problems, such as due to the device may refer to each possible embodiment and brought beneficial effect of above-mentioned first aspect and first aspect, therefore the implementation of the device may refer to the implementation of method, and overlaps will not be repeated.
Fourth aspect, provides a kind of fault parameter upload device, and described device includes:
Recording unit, for recording the number of stoppages of at least one fault type occurred and the fault type occurred when terminal breaks down；
Uploading unit, for uploading fault parameter to server, the fault parameter includes at least a kind of fault type and the number of stoppages and terminal of the fault type use duration, so that the server is according to the fault parameter, that predicts terminal set reprocesses probability.
5th aspect, provides a kind of server, the server includes: processor, memory；
Wherein,
The memory is for storing instruction and data, the data include the failure rate of every kind of fault type and the corresponding relationship for moving back machine probability；
The processor is for executing described instruction to realize:
Obtain the failure rate of every kind of fault type of each terminal in terminal set；
It determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability；
The probability of reprocessing of each terminal is obtained, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability；
Obtain the number of reprocessing of the terminal set, the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set；
Obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
The scheme in method design that the processor calls the instruction of storage in the memory to realize above-mentioned first aspect, the embodiment and beneficial effect solved the problems, such as due to the server may refer to each possible embodiment and beneficial effect of above-mentioned first aspect and first aspect, therefore the implementation of the server may refer to the implementation of method, and overlaps will not be repeated.
6th aspect, provides a kind of terminal, the terminal includes processor and transmitter；
The processor is used for when terminal breaks down, and records the number of stoppages of at least one fault type occurred and the fault type occurred；
The transmitter is used to upload fault parameter to server, the fault parameter includes at least a kind of fault type and the number of stoppages and terminal of the fault type use duration, so that the server is according to the fault parameter, that predicts terminal set reprocesses probability.
7th aspect, provide a kind of non-volatile computer readable storage medium storing program for executing for storing one or more programs, one or more of programs include instruction, the non-volatile computer readable storage medium storing program for executing is applied to the server with processor, described instruction makes each possible embodiment of server the execution first aspect present invention and first aspect when being executed by the server, therefore the implementation of the non-volatile computer readable storage medium storing program for executing may refer to the implementation of first aspect present invention and first aspect, and overlaps will not be repeated.
Eighth aspect provides a kind of non-volatile computer readable storage medium for storing one or more programs
Matter, one or more of programs include instruction, the non-volatile computer readable storage medium storing program for executing is applied to the terminal with processor, described instruction makes the terminal execute following event when being executed by the terminal: when terminal breaks down, recording the number of stoppages terminal of at least one fault type occurred and the fault type occurred；Fault parameter is uploaded to server, the fault parameter includes at least a kind of fault type and the number of stoppages and terminal of the fault type use duration, so that the server reprocesses probability according to fault parameter prediction terminal set.
Implement one kind provided in an embodiment of the present invention and reprocesses probability forecasting method, device, server, terminal and storage medium, by the failure rate for obtaining every kind of fault type of each terminal in terminal set, and it determines that the failure rate of every kind of fault type of each terminal is corresponding according to server statistics and moves back machine probability, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, the cost that probability is reprocessed in reduction greatly reduces.
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, the drawings to be used in the embodiments are briefly described below, apparently, drawings in the following description are only some embodiments of the invention, for those of ordinary skill in the art, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow diagram for reprocessing probability forecasting method provided in an embodiment of the present invention；
Fig. 2 a is that certain fault type for being obtained according to theoretical calculation moves back machine probability schematic diagram；
Fig. 2 b is to move back machine probability schematic diagram according to the terminal obtained after credit rating requirement artificial settings fault-rate threshold；
Fig. 3 is a kind of flow diagram of fault parameter method for uploading provided in an embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram for reprocessing probabilistic forecasting device provided in an embodiment of the present invention；
Fig. 5 is the structural schematic diagram that a kind of fault parameter provided in an embodiment of the present invention uploads device；
Fig. 6 is a kind of structural schematic diagram of server and terminal provided in an embodiment of the present invention.
The embodiment of the present invention provides one kind and reprocesses probability forecasting method, device, server, terminal and storage Jie
Matter, by the failure rate for obtaining every kind of fault type of each terminal in terminal set, and it determines that the failure rate of every kind of fault type of each terminal is corresponding by server statistics and moves back machine probability, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, reduced and reprocessed the cost of probability and greatly reduce.
It is described in detail below by specific embodiment:
It will be appreciated by those skilled in the art that ground, the technical solution of the embodiment of the present invention can be applied to various communication systems, such as: global system for mobile telecommunications (Global System of Mobile communication, referred to as " GSM ") system, CDMA (Code Division Multiple Access, referred to as " CDMA ") system, wideband code division multiple access (Wideband Code Division Multiple Access, referred to as " WCDMA ") system, General Packet Radio Service (General Packet Radio Service, referred to as " GPRS "), it drills for a long time Into (Long Term Evolution, referred to as " LTE ") system, LTE frequency division duplex (Frequency Division Duplex, referred to as " FDD ") system, LTE time division duplex (Time Division Duplex, referred to as " TDD "), Universal Mobile Communication System (Universal Mobile Telecommunication System, referred to as " UMTS ") or global interconnection inserting of microwave (Worldwide Interoperability for Microwave Access, referred to as " WiMAX ") communication system etc..
It will be appreciated by those skilled in the art that ground, in embodiments of the present invention, terminal can be referred to as user equipment (User Equipment, referred to as " UE "), mobile station (Mobile Station, referred to as " MS "), mobile terminal (Mobile Terminal), computer, microcomputer, refrigerator, air-conditioning etc..The terminal can be through wireless access network (Radio Access Network, referred to as " RAN ") it is communicated with one or more core nets, such as, terminal can be mobile phone (or being " honeycomb " phone), computer with mobile terminal etc., such as, terminal can also be portable, pocket, hand-held, built-in computer or vehicle-mounted mobile device, they exchange voice and/or data with wireless access network.The present invention does not limit this, such as terminal further includes having the terminal of the access in radio of multiple-bearer feature.
Fig. 1 is a kind of flow diagram for reprocessing probability forecasting method provided in an embodiment of the present invention, method includes the following steps:
S101 obtains the failure rate of every kind of fault type of each terminal in terminal set.
In the present embodiment, the set for multiple terminals that terminal set stylus pin sells to user and user is used or has used.Each terminal is if a failure occurs, it is understood that there may be the failure of one or more types.Failure rate refers to that generation certain failure of how many times per unit time, i.e., the failure rate of every kind fault type are the number of stoppages
The ratio of duration is used with terminal.
In the present embodiment, the fault parameter of institute's using terminal can be uploaded to server by user, or it can also be and upload fault parameter from trend server when terminal breaks down, or terminal side counts the number of stoppages of each fault type and terminal when breaking down uses duration, and by the information preservation of statistics in the memory of terminal, the fault parameter saved in memory is uploaded to server automatically in setting time interval.The fault parameter includes at least a kind of fault type, optionally, fault parameter can also include the number of stoppages of every kind of fault type and for terminal using duration, terminal is terminal user's initial start-up terminal to duration experienced when breaking down using duration when breaking down.
Specifically, when counting fault parameter by server side, when server receives the fault type of terminal transmission, it can be with the failure frequency of such fault type of programming count, it can then be counted in the following manner using duration: when terminal initial start-up, message is sent to server, it may include temporal information in message, when server receives the fault type of terminal transmission, obtain the time that terminal breaks down, time difference when computing terminal initial start-up time and terminal break down calculates the use duration of terminal when breaking down.When counting fault parameter by terminal side, the failure frequency of each fault type of terminal programming count, and the record terminal initial start-up time, and the use duration of terminal when certain class failure occurs for record respectively, so that the terminal for obtaining each fault type uses duration.
Server is got in terminal set after the fault parameter of each terminal, can acquire the failure rate of every kind of fault type of each terminal in terminal set, which can be fault collection server.
Specifically, obtain the failure rate of every kind of fault type of each terminal in terminal set, comprising: receive the fault parameter that terminal uploads, the fault parameter includes at least a kind of fault type, optionally, fault parameter can also include that the number of stoppages of every kind of fault type and terminal use duration；According to the fault parameter, the failure rate of every kind of fault type of each terminal is calculated, the failure rate of every kind of fault type of each terminal is that the number of stoppages of every kind of fault type uses the ratio of duration with terminal.To which the number of stoppages and terminal of every kind of fault type of obtained each terminal use duration, obtain the failure rate of every kind of fault type of each terminal with can be convenient, the basis for reprocessing probability as computing terminal set.
For example, certain user with certain part terminal j in some use process, when use a length of T, the failure of generation has (1,2..n) class, the number of stoppages is respectively (C1, C2 ..., Cn), then and (1,2..n) failure rate of class failure is respectively as follows: C1/T, C2/T ..., Cn/T.
S102 determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability.
Certain failure rate be corresponding with it is certain move back machine probability, usual failure rate is higher, the terminal to move back machine general
Rate is higher.
In the present embodiment, it is stored with the failure rate of every kind of fault type in server and moves back the corresponding relationship of machine probability, therefore, according to the failure rate of every kind of fault type of each terminal, by inquiring the corresponding relationship, it can learn that the failure rate of every kind of fault type of each terminal is corresponding and move back machine probability.
Optionally, fault type can include: system failure rate or application failure rate.The failure of one terminal may only include system failure rate or application failure rate, it is also possible to which two kinds of failure rate all includes.
The corresponding relationship can be obtained by server statistics, such as by statistics multiple or mostly for the performance of terminal, price, the failure rate of brand and the corresponding relationship for moving back machine probability, the failure rate counted and the corresponding relationship for moving back machine probability are substantially dynamic stability.Specifically, for example, for entire terminal set, when server statistics obtain N kind fault type；By taking the first fault type as an example, server statistics obtain n kind failure rate (a1, a2, a3 ... an)；For the first fault type, when failure rate is a1, the practical machine number that moved back of server statistics is x, and failure rate be a1 but do not move back machine quantity be y (understandably, this certain customers is higher to the tolerance of the first fault type), then for the first fault type, the machine probability that moves back when failure rate is a1 is x/ (x+y)；It is to be appreciated that failure rate can be specific failure rate value in the embodiment of the present invention, it is also possible to failure rate section.
Illustratively, the embodiment of the present invention is by taking fault type is the system failure as an example, server counts by the above process to be obtained the failure rate of the system failure and moves back the corresponding relationship between machine probability, wherein, system failure rate can be specific failure rate value, failure rate is also possible to failure rate section, and the embodiment of the present invention indicates system failure rate with range format；It is as shown in table 1 below:
1 system failure rate of table and the mapping table for moving back machine probability
| System failure rate (secondary/hour) | Move back machine probability |
| >20 | 1 |
| 10-20 | 0.8 |
| 5-10 | 0.6 |
| 2-5 | 0.4 |
| 0.7-2 | 0.2 |
| ∠0.7 | 0 |
When server gets the system failure rate of terminal upload, by inquiry system failure rate and the mapping table for moving back machine probability, determines that the system failure rate is corresponding and move back machine probability.For example, when server is got
When the system failure rate that terminal uploads is 15, by inquiry system failure rate and the mapping table for moving back machine probability, determine that the system failure rate corresponds to the failure rate section of 10-20, the corresponding machine probability that moves back in the section is 0.8, it is thus determined that the corresponding machine probability that moves back is 0.8 when system failure rate is 15.
S103 obtains the probability of reprocessing of each terminal, and the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability.
That assesses the i.e. terminal of a possibility that machine is moved back in customer complaint reprocesses probability, with reprocessing probability P (user, fault-type, fualt-cout, time it) indicates and (writes a Chinese character in simplified form Pj), probability and user (user), fault type (fault-type), the number of stoppages (fualt-cout) and related using duration (time) are reprocessed, reprocesses probability P j according to citing above and according to what formula (1) was calculated each terminal are as follows:
That is, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability.
Wherein, the probability of reprocessing of each terminal is less than or equal to 1, and therefore, if corresponding the sum of the machine probability that moves back of the failure rate of every kind of fault type of some terminal is greater than 1, the machine probability that moves back of the terminal takes 1.
S104, obtains the number of reprocessing of the terminal set, and the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set.
Suppose there is a terminal set, terminal number is (1,2,3 ... j.., m), then the terminal set it is possible complain/number of reprocessing of the i.e. terminal set of the machine number of moving back is defined as Cr, Cr is calculated according to formula (2) are as follows:
That is, the number of reprocessing of terminal set is that each terminal reprocesses the sum of probability in the terminal set.
S105 obtains the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
According to the terminal total number for reprocessing number Yu terminal set for the terminal set being calculated above, terminal set can be calculated according to formula (3) reprocesses probability FFR are as follows:
FFR=Cr/m ... formula (3)
That is, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of terminal set.
According to the description of above example, by the failure rate for obtaining every kind of fault type of each terminal in terminal set, and machine probability is moved back by determining that the failure rate of every kind of fault type is corresponding according to server statistics, to obtain each terminal reprocess probability and terminal set reprocess number, the final terminal set that obtains
Reprocess probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, reduced and reprocessed the cost of probability and greatly reduce.
In fact, may be based on that Fault Tolerance model theory is calculated terminal set reprocesses probability:
When certain one or many failure occurs for terminal, user is to this degrees of tolerance, the Fault Tolerance (English: Fault-Tolerance, referred to as: FT) of such failure referred to as in this terminal.If user can't stand such failure, it is possible to complain, complain and even move back machine.
How the tolerance of failure measured? we are described using Fault Tolerance coefficient (English: Fault-Tolerance-Measurement, abbreviation FTM), and Fault Tolerance is higher, and coefficient is bigger, and FTM value is bigger, and failure is not serious；Fault Tolerance is lower, and coefficient is smaller, and FTM value is smaller, and failure is more serious.
Is the size of FTM related with which factor for given terminal? factor is relatively more, we select the factor of most universal significance: user, fault type here, and the number of stoppages uses duration；For the relationship established between FTM and these factors, we investigate the relationship (referred to as investigating process) between some user's tolerance and the failure of generation using a process: since beginning to use terminal, can not put up with the complaint machine of moving back to user terminates.
Generally, to given user and certain given class failure, the number of stoppages is more during investigation, illustrates that failure is not serious, FTM value is bigger；Conversely, the number of stoppages is fewer, illustrate that failure is more serious, FTM is smaller.Therefore FTM and number of stoppages FC is proportional relationship.On the other hand, the time needed during investigating is longer, illustrates that failure is more serious, FTM value is smaller；Conversely, the time is shorter, illustrate that failure is not serious, FTM value is bigger.Therefore, FTM with the use of the relationship of duration T is inversely prroportional relationship.
The terminal given for one, it is assumed that its fault type that may occur has n kind, and number is (1,2, ... n), the tolerance coefficient of i-th kind of failure is FTM (i) to .i ..., the number of stoppages occurred during investigating is nc, when investigation a length of tc, then have:
FTM (i)=nc/tc ... formula (4)
The dimension of FTM is " secondary/hour ", and FTM value is smaller, and Fault Tolerance is lower；FTM value is bigger, and Fault Tolerance is higher, it is seen that FTM describes the fault-rate threshold that do not tolerate.
Next, the number of users reprocessed can be obtained after normalized and reprocess probability density P ' (x) under this failure rate under some failure rate that statistics gives:
Reprocessing number/such failures of P ' (x)=at failure rate x always reprocess number ... formula (5)
Wherein, the failure rate x=number of stoppages/use duration
Reach some fault-rate threshold FTM of the terminal (for each terminal or all terminals to obtain the failure rate of some given terminal the i-th class failure, multiple failure rate sections can be set, there is a fault-rate threshold in each failure rate section) when, the terminal moves back machine probability P (i, FTM) are as follows:
According to the step S104-S105 of front, machine probability P (i, FTM) is moved back by some terminal, the repair rate of terminal set can finally be calculated.
However, in practical calculating process, it will not go to calculate an integral formula and move back machine probability obtain terminal, it is less intuitive in this way, and the failure rate section obtained by server statistics and the corresponding relationship for moving back machine probability, obtain certain fault type failure rate it is corresponding move back machine probability, it is more convenient in this way, intuitive.
Fig. 2 a is that certain fault type for being obtained according to theoretical calculation moves back machine probability schematic diagram, wherein, hatched area is that the calculated terminal moves back machine probability P (i, FTM), Fig. 2 b is to move back machine probability schematic diagram according to the terminal obtained after credit rating requirement artificial settings fault-rate threshold, from Fig. 2 a and Fig. 2 b, Fig. 2 b prediction move back machine probability be obviously higher than Fig. 2 a prediction move back machine probability, i.e., the hatched area of Fig. 2 b is greater than the hatched area of Fig. 2 a, therefore, the machine probability that moves back of the terminal finally obtained according to the fault-rate threshold of artificial settings is substantially higher and moves back machine probability in the terminal obtained according to theoretical calculation, therefore it requires terminal quality higher.
In fact, the failure rate section obtained according to server statistics and the corresponding relationship for moving back machine probability be exactly it is higher to terminal quality requirement obtained from corresponding relationship, the thresholding in failure rate section is corresponding, and to move back machine probability bigger.
The one kind provided according to embodiments of the present invention reprocesses probability forecasting method, by the failure rate for obtaining every kind of fault type of each terminal in terminal set, and it determines that the failure rate of every kind of fault type of each terminal is corresponding by server statistics and moves back machine probability, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, and the cost that probability is reprocessed in reduction greatly reduces.
Fig. 3 is a kind of flow diagram of fault parameter method for uploading provided in an embodiment of the present invention, applied to the terminal with communication function, method includes the following steps:
S201 records at least one fault type occurred and is sent out when the terminal breaks down
The number of stoppages of raw fault type.
When terminal breaks down, terminal side counts the number of stoppages of fault type occurred and the fault type occurred, and by the information preservation of statistics in the memory of terminal.
S202 uploads fault parameter to server, and the fault parameter includes at least a kind of fault type and the number of stoppages and terminal of the fault type use duration, so that the server is according to the fault parameter, that predicts terminal set reprocesses probability.
The fault parameter of institute's using terminal is uploaded to server by user, or fault parameter is uploaded from trend server when terminal breaks down, or terminal side counts the number of stoppages of each fault type and terminal when breaking down uses duration, and by the information preservation of statistics in the memory of terminal, the fault parameter saved in memory is uploaded to server automatically in setting time interval.The fault parameter includes at least a kind of fault type, optionally, fault parameter can also include the number of stoppages of every kind of fault type and for terminal using duration, terminal is terminal user's initial start-up terminal to duration experienced when breaking down using duration when breaking down.
Server is got in terminal set after the fault parameter of each terminal, can acquire the failure rate of every kind of fault type of each terminal in terminal set.The failure rate of every kind of fault type of each terminal is the ratio that the number of stoppages and terminal use duration.To which server uses duration according to the number of stoppages and terminal of every kind of fault type of obtained each terminal, obtains the failure rate of every kind of fault type of each terminal with can be convenient, the basis for reprocessing probability as computing terminal set.
Then, server determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability, obtain each terminal reprocesses probability, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability, obtain the terminal set reprocesses number, the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set, obtain the terminal set reprocesses probability, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
A kind of fault parameter method for uploading provided according to embodiments of the present invention, by by the fault parameter upload server of terminal, server can know the failure rate of every kind of fault type of each terminal in terminal set according to fault parameter, and it can determine that the failure rate of every kind of fault type of each terminal is corresponding according to server statistics and move back machine probability, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, the cost that probability is reprocessed in reduction greatly reduces.
It should be noted that, for the various method embodiments described above, for simple description, therefore, it is stated as a series of action combinations, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described, because according to the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know that, the embodiments described in the specification are all preferred embodiments, and related actions and modules are not necessarily necessary for the present invention.
Fig. 4 is a kind of structural schematic diagram for reprocessing probabilistic forecasting device provided in an embodiment of the present invention, which includes: first acquisition unit 11 and determination unit 12；
First acquisition unit 11, the failure rate of every kind of fault type for obtaining each terminal in terminal set.
In the present embodiment, the set for multiple terminals that terminal set stylus pin sells to user and user is used or has used.Each terminal is if a failure occurs, it is understood that there may be the failure of one or more types.Failure rate refers to that generation certain failure of how many times per unit time, i.e., the failure rate of every kind fault type are the ratio that the number of stoppages and terminal use duration.
In the present embodiment, the fault parameter of institute's using terminal can be uploaded to server by user, or it can also be and upload fault parameter from trend server when terminal breaks down, or terminal side counts the number of stoppages of each fault type and terminal when breaking down uses duration, and by the information preservation of statistics in the memory of terminal, the fault parameter saved in memory is uploaded to server automatically in setting time interval.The fault parameter includes at least a kind of fault type, optionally, fault parameter can also include the number of stoppages of every kind of fault type and for terminal using duration, terminal is terminal user's initial start-up terminal to duration experienced when breaking down using duration when breaking down.
Specifically, when counting fault parameter by server side, when server receives the fault type of terminal transmission, the failure frequency of such fault type of programming count, it can then be counted in the following manner using duration: when terminal initial start-up, message is sent to server, it may include temporal information in message, when server receives the fault type of terminal transmission, obtain the time that terminal breaks down, time difference when computing terminal initial start-up time and terminal break down calculates the use duration of terminal when breaking down.When counting fault parameter by terminal side, the failure frequency of each fault type of terminal programming count, and the record terminal initial start-up time, and the use duration of terminal when certain class failure occurs for record respectively, so that the terminal for obtaining each fault type uses duration.
Server is got in terminal set after the fault parameter of each terminal, can acquire the failure rate of every kind of fault type of each terminal in terminal set, which can be fault collection server.
Specifically, first acquisition unit 11 includes: receiving unit, and for receiving the fault parameter of terminal upload, the fault parameter includes at least a kind of fault type, and optionally, fault parameter can also include that the number of stoppages of every kind of fault type and terminal use duration；Computing unit, for calculating the failure rate of every kind of fault type of each terminal according to the fault parameter, the failure rate of every kind of fault type of each terminal is that the number of stoppages of every kind of fault type uses the ratio of duration with terminal.To which the number of stoppages and terminal of every kind of fault type of obtained each terminal use duration, obtain the failure rate of every kind of fault type of each terminal with can be convenient, the basis for reprocessing probability as computing terminal set.
For example, certain user with certain part terminal j in some use process, when use a length of T, the failure of generation has (1,2..n) class, the number of stoppages is respectively (C1, C2 ..., Cn), then and (1,2..n) failure rate of class failure is respectively as follows: C1/T, C2/T ..., Cn/T.
Determination unit 12 moves back machine probability for determining that the failure rate of every kind of fault type of each terminal is corresponding.
Certain failure rate be corresponding with it is certain move back machine probability, usual failure rate is higher, the terminal to move back machine probability higher.
In the present embodiment, it is stored with the failure rate of every kind of fault type in server and moves back the corresponding relationship of machine probability, therefore, the determination unit 12 is specifically used for: according to the failure rate of every kind of fault type of each terminal, by inquiring the failure rate of every kind of fault type and moving back the corresponding relationship of machine probability, determines that the failure rate of every kind of fault type of each terminal is corresponding and move back machine probability.
Optionally, fault type can include: system failure rate or application failure rate.The failure of one terminal may only include system failure rate or application failure rate, it is also possible to which two kinds of failure rate all includes.
The corresponding relationship can be obtained by server statistics, such as by statistics multiple or mostly for the performance of terminal, price, the failure rate of brand and the corresponding relationship for moving back machine probability, the failure rate counted and the corresponding relationship for moving back machine probability are substantially dynamic stability.Specifically, for example, for entire terminal set, when server statistics obtain N kind fault type；By taking the first fault type as an example, server statistics obtain n kind failure rate (a1, a2, a3 ... an)；For the first fault type, when failure rate is a1, server statistics are practical, and to be moved back machine number be x, and failure rate be a1 but user do not move back machine quantity be y (understandably, this certain customers is higher to the tolerance of the first fault type), then for the first failure classes
Type, the machine probability that moves back when failure rate is a1 is x/ (x+y)；It is to be appreciated that failure rate can be specific failure rate value in the embodiment of the present invention, it is also possible to failure rate section.
Illustratively, the embodiment of the present invention is by taking fault type is the system failure as an example, server counts by the above process to be obtained the failure rate of the system failure and moves back the corresponding relationship between machine probability, wherein, system failure rate can be specific failure rate value, with can be failure rate section, the embodiment of the present invention indicates system failure rate with range format；As shown in table 1.
When server gets the system failure rate of terminal upload, by inquiry system failure rate and the mapping table for moving back machine probability, determines that the system failure rate is corresponding and move back machine probability.Such as, when the system failure rate that server gets terminal upload is 15, pass through inquiry system failure rate and the mapping table for moving back machine probability, determine that the system failure rate corresponds to the failure rate section of 10-20, the corresponding machine probability that moves back in the section is 0.8, it is thus determined that the corresponding machine probability that moves back is 0.8 when system failure rate is 15.
The first acquisition unit 11 is also used to obtain the probability of reprocessing of each terminal, and the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability.
That assesses the i.e. terminal of a possibility that machine is moved back in customer complaint reprocesses probability, with reprocessing probability P (user, fault-type, fualt-cout, time it) indicates and (writes a Chinese character in simplified form Pj), probability and user (user), fault type (fault-type), the number of stoppages (fualt-cout) and related using duration (time) are reprocessed, reprocesses probability P j according to citing above and according to what formula (1) can be calculated each terminal.
That is, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability.
Wherein, the probability of reprocessing of each terminal is less than or equal to 1, and therefore, if corresponding the sum of the machine probability that moves back of the failure rate of every kind of fault type of some terminal is greater than 1, the machine probability that moves back of the terminal takes 1.
The first acquisition unit 11 is also used to obtain the number of reprocessing of the terminal set, and the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set.
Suppose there is a terminal set, terminal number is (1,2,3 ... j.., m), then the terminal set it is possible complain/number of reprocessing of the i.e. terminal set of the machine number of moving back is defined as Cr, Cr can be calculated according to formula (2).
That is, the number of reprocessing of terminal set is that each terminal reprocesses the sum of probability in the terminal set.
The first acquisition unit 11 is also used to obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
According to the terminal total number for reprocessing number Yu terminal set for the terminal set being calculated above, terminal set can be calculated according to formula (3) reprocesses probability FFR.
That is, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of terminal set.
The one kind provided according to embodiments of the present invention reprocesses probabilistic forecasting device, by the failure rate for obtaining every kind of fault type of each terminal in terminal set, and machine probability is moved back by determining that the failure rate of every kind of fault type is corresponding according to server statistics, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, and the cost that probability is reprocessed in reduction greatly reduces.
Fig. 5 is the structural schematic diagram that a kind of fault parameter provided in an embodiment of the present invention uploads device, which can be the terminal with communication function, which includes:
Recording unit 21, for recording the number of stoppages of at least one fault type occurred and the fault type occurred when terminal breaks down.
When terminal breaks down, recording unit 21 counts the number of stoppages of fault type occurred and the fault type occurred, and by the information preservation of statistics in the memory of terminal.
Uploading unit 22, for uploading fault parameter to server, the fault parameter includes at least a kind of fault type and the number of stoppages and terminal of the fault type use duration, so that the server is according to the fault parameter, that predicts terminal set reprocesses probability.
The fault parameter of institute's using terminal is uploaded to server by user, or fault parameter is uploaded from trend server when terminal breaks down, or terminal side counts the number of stoppages of each fault type and terminal when breaking down uses duration, and by the information preservation of statistics in the memory of terminal, the fault parameter saved in memory is uploaded to server automatically in setting time interval.The fault parameter includes at least a kind of fault type, optionally, fault parameter can also include the number of stoppages of every kind of fault type and for terminal using duration, terminal is terminal user's initial start-up terminal to duration experienced when breaking down using duration when breaking down.
Server is got in terminal set after the fault parameter of each terminal, can acquire the failure rate of every kind of fault type of each terminal in terminal set.The failure rate of every kind of fault type of each terminal is the ratio that the number of stoppages and terminal use duration.Thus every kind failure classes of the server according to obtained each terminal
The number of stoppages and terminal of type use duration, obtain the failure rate of every kind of fault type of each terminal with can be convenient, the basis for reprocessing probability as computing terminal set.
Then, server determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability, obtain each terminal reprocesses probability, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability, obtain the terminal set reprocesses number, the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set, obtain the terminal set reprocesses probability, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
A kind of fault parameter provided according to embodiments of the present invention uploads device, by by the fault parameter upload server of terminal, server can know the failure rate of every kind of fault type of each terminal in terminal set according to fault parameter, and it can determine that the failure rate of every kind of fault type of each terminal is corresponding according to server statistics and move back machine probability, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, the cost that probability is reprocessed in reduction greatly reduces.
Fig. 6 is the structural schematic diagram of a kind of server 3000 and terminal 4000 provided in an embodiment of the present invention, as shown in fig. 6, the server 3000 can include: processor 31, memory 32；
Wherein, the memory 32 is for storing instruction and data, the data include the failure rate of every kind of fault type and the corresponding relationship for moving back machine probability；
The processor 31 is used to execute the instruction of storage in memory 32 to realize:
Obtain the failure rate of every kind of fault type of each terminal in terminal set；
It determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability；
The probability of reprocessing of each terminal is obtained, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability；
Obtain the number of reprocessing of the terminal set, the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set；
Obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
In a kind of possible design, the server 3000 may also include receiver 33 and (be connected in figure with dotted line
It connects)；
The receiver 33 is used to receive the fault parameter of terminal upload, and the fault parameter includes at least the number of stoppages of a kind of fault type and every kind of fault type and terminal uses duration.
In alternatively possible design, the processor 31 is also used to according to the fault parameter, the failure rate of every kind of fault type of each terminal is calculated, the failure rate of every kind of fault type of each terminal is that the number of stoppages of every kind of fault type uses the ratio of duration with the terminal.
In another possible design, the processor 31 is specifically used for:
According to the failure rate of every kind of fault type of each terminal, failure rate by the every kind of fault type of inquiry storage in the memory and the corresponding relationship for moving back machine probability, determine that the failure rate of every kind of fault type of each terminal is corresponding and move back machine probability.
A kind of server provided according to embodiments of the present invention, the failure rate that the server passes through every kind of fault type of each terminal in acquisition terminal set, and it determines that the failure rate of every kind of fault type of each terminal is corresponding by server statistics and moves back machine probability, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, and the cost that probability is reprocessed in reduction greatly reduces.
Please continue to refer to Fig. 6, which includes: processor 41 and transmitter 42；
The processor 41 is used for when terminal breaks down, and records the number of stoppages of at least one fault type occurred and the fault type occurred.
The transmitter 42 is used to upload fault parameter to server, the fault parameter includes at least a kind of fault type and the number of stoppages and terminal of the fault type use duration, so that the server is according to the fault parameter, that predicts terminal set reprocesses probability.
A kind of terminal provided according to embodiments of the present invention, the terminal is by the fault parameter upload server of terminal, server can know the failure rate of every kind of fault type of each terminal in terminal set according to fault parameter, and it can determine that the failure rate of every kind of fault type of each terminal is corresponding according to server statistics and move back machine probability, to obtain each terminal reprocess probability and terminal set reprocess number, final acquisition terminal set reprocesses probability, without until user is practical replace after machine could computing terminal set reprocess probability, terminal improvement can be carried out in advance, the cost that probability is reprocessed in reduction greatly reduces.
The embodiment of the present invention also provides a kind of computer storage medium, wherein the computer storage medium can be stored with program, which includes some or all of the monitoring method of any service processes recorded in above method embodiment step when executing.
In the above-described embodiments, based on the same inventive concept, the server in the embodiment of the present invention, the technical issues of terminal and corresponding intrument are solved, embodiment and beneficial effect may refer to the implementation of corresponding method, and overlaps will not be repeated.
The steps in the embodiment of the present invention can be sequentially adjusted, merged and deleted according to actual needs.
Unit in the device of that embodiment of the invention can be combined, divided and deleted according to actual needs.The feature of different embodiments described in this specification and different embodiments can be combined or be combined by those skilled in the art.
Through the above description of the embodiments, it is apparent to those skilled in the art that the present invention can be realized with hardware realization or firmware realization or their combination mode.When implemented in software, above-mentioned function can be stored in non-volatile computer readable storage medium storing program for executing or as on computer readable storage medium one or more instructions or code transmit.Computer readable storage medium includes computer storage media and communication media, and wherein communication media includes convenient for from a place to any medium of another place transmission computer program.Storage medium can be any usable medium that computer can access.As example but be not limited to: computer readable storage medium may include random access memory (Random Access Memory, RAM), read-only memory (Read-Only Memory, ROM), Electrically Erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact Disc Read-Only Memory, ) or other optical disc storages CD-ROM, magnetic disk storage medium or other magnetic storage apparatus, or it can be used in carrying or store the desired program code with instruction or data structure form and can be by Any other medium of computer access.Furthermore.Any connection appropriate can become computer readable storage medium.Such as, if software is using coaxial cable, optical fiber cable, twisted pair, Digital Subscriber Line (Digital Subscriber Line, DSL) either the wireless technology of the wireless technology of such as infrared ray, radio and microwave etc from website, server so coaxial cable, optical fiber cable, twisted pair, DSL or such as infrared ray that perhaps other remote sources are transmitted, wireless and microwave etc includes in the fixing of affiliated medium.As used in the present invention, disk (Disk)
It include compressing optical disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and Blu-ray Disc with dish (disc), the usually magnetic replicate data of which disk, and dish is then with laser come optical replicate data.Combination above should also be as including within the protection scope of computer readable storage medium.
In short, being not intended to limit the scope of the present invention the foregoing is merely the preferred embodiment of technical solution of the present invention.All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (15)
- One kind reprocessing probability forecasting method, which is characterized in that the described method includes:Obtain the failure rate of every kind of fault type of each terminal in terminal set；It determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability；The probability of reprocessing of each terminal is obtained, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability；Obtain the number of reprocessing of the terminal set, the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set；Obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
- The method as described in claim 1, which is characterized in that the failure rate for obtaining every kind of fault type of each terminal in terminal set, comprising:The fault parameter that terminal uploads is received, the fault parameter includes at least the number of stoppages of a kind of fault type and every kind of fault type and terminal uses duration；According to the fault parameter, the failure rate of every kind of fault type of each terminal is calculated, the failure rate of every kind of fault type of each terminal is that the number of stoppages of every kind of fault type uses the ratio of duration with the terminal.
- It is method according to claim 1 or 2, which is characterized in that the failure rate of every kind of fault type of determination each terminal is corresponding to move back machine probability, comprising:It determines that the failure rate of every kind of fault type of each terminal is corresponding by inquiring the failure rate of every kind of fault type and moving back the corresponding relationship of machine probability according to the failure rate of every kind of fault type of each terminal and moves back machine probability.
- A kind of fault parameter method for uploading, applied to the terminal with communication function, which is characterized in that the described method includes:When the terminal breaks down, the number of stoppages terminal of at least one fault type occurred and the fault type occurred is recorded；Fault parameter is uploaded to server, the fault parameter includes at least a kind of fault type and the event The number of stoppages and terminal for hindering type use duration, so that the server is according to the fault parameter, that predicts terminal set reprocesses probability.
- One kind reprocessing probabilistic forecasting device, which is characterized in that described device includes:First acquisition unit, the failure rate of every kind of fault type for obtaining each terminal in terminal set；Determination unit moves back machine probability for determining that the failure rate of every kind of fault type of each terminal is corresponding；The first acquisition unit is also used to obtain the probability of reprocessing of each terminal, and the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability；The first acquisition unit is also used to obtain the number of reprocessing of the terminal set, and the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set；The first acquisition unit is also used to obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
- Device as claimed in claim 5, which is characterized in that the first acquisition unit includes:Receiving unit, for receiving the fault parameter of terminal upload, the fault parameter includes at least the number of stoppages of a kind of fault type and every kind of fault type and terminal uses duration；Computing unit, for calculating the failure rate of every kind of fault type of each terminal according to the fault parameter, the failure rate of every kind of fault type of each terminal is that the number of stoppages of every kind of fault type uses the ratio of duration with the terminal.
- Such as device described in claim 5 or 6, which is characterized in that the determination unit is specifically used for:It determines that the failure rate of every kind of fault type of each terminal is corresponding by inquiring the failure rate of every kind of fault type and moving back the corresponding relationship of machine probability according to the failure rate of every kind of fault type of each terminal and moves back machine probability.
- A kind of fault parameter uploads device, which is characterized in that described device includes:Recording unit, for recording the number of stoppages of at least one fault type occurred and the fault type occurred when terminal breaks down；Uploading unit, for uploading fault parameter to server, the fault parameter includes at least a kind of failure The number of stoppages and terminal of type and the fault type use duration, so that the server reprocesses probability according to fault parameter prediction terminal set.
- A kind of server, which is characterized in that the server includes: processor, memory；Wherein,The memory is for storing instruction and data, the data include the failure rate of every kind of fault type and the corresponding relationship for moving back machine probability；The processor is for executing described instruction to realize:Obtain the failure rate of every kind of fault type of each terminal in terminal set；It determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability；The probability of reprocessing of each terminal is obtained, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability；Obtain the number of reprocessing of the terminal set, the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set；Obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
- Server as claimed in claim 9, which is characterized in that the server further includes receiver；The receiver is used to receive the fault parameter of terminal upload, and the fault parameter includes at least the number of stoppages of a kind of fault type and every kind of fault type and terminal uses duration.
- Server as claimed in claim 10, which is characterized in thatThe processor is also used to calculate the failure rate of every kind of fault type of each terminal according to the fault parameter, and the failure rate of every kind of fault type of each terminal is that the number of stoppages of every kind of fault type uses the ratio of duration with the terminal.
- Server as described in claim 9-11 any one, which is characterized in that the processor is specifically used for:According to the failure rate of every kind of fault type of each terminal, the failure rate by the every kind of fault type of inquiry storage in the memory and the corresponding relationship for moving back machine probability determine each terminal The failure rate of every kind of fault type is corresponding to move back machine probability.
- A kind of terminal, which is characterized in that the terminal includes processor and transmitter；The processor is used for when terminal breaks down, and records the number of stoppages of at least one fault type occurred and the fault type occurred；The transmitter is used to upload fault parameter to server, the fault parameter includes at least a kind of fault type and the number of stoppages and terminal of the fault type use duration, so that the server is according to the fault parameter, that predicts terminal set reprocesses probability.
- A kind of non-volatile computer readable storage medium storing program for executing storing one or more programs, one or more of programs include instruction, the non-volatile computer readable storage medium storing program for executing is applied to the server with processor, and described instruction makes the server execute following event when being executed by the server:Obtain the failure rate of every kind of fault type of each terminal in terminal set；It determines that the failure rate of every kind of fault type of each terminal is corresponding and moves back machine probability；The probability of reprocessing of each terminal is obtained, the failure rate for reprocessing every kind of fault type that probability is each terminal of each terminal is corresponding to move back the sum of machine probability；Obtain the number of reprocessing of the terminal set, the number of reprocessing of the terminal set is that each terminal reprocesses the sum of probability in the terminal set；Obtain the probability of reprocessing of the terminal set, the ratio for reprocessing the terminal total number for reprocessing number and the terminal set that probability is the terminal set of the terminal set.
- A kind of non-volatile computer readable storage medium storing program for executing storing one or more programs, one or more of programs include instruction, the non-volatile computer readable storage medium storing program for executing is applied to the terminal with processor, and described instruction makes the terminal execute following event when being executed by the terminal:When terminal breaks down, the number of stoppages terminal of at least one fault type occurred and the fault type occurred is recorded；Fault parameter is uploaded to server, the fault parameter includes at least a kind of fault type and the number of stoppages and terminal of the fault type use duration, so that the server reprocesses probability according to fault parameter prediction terminal set.
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| PCT/CN2016/080841 WO2017185379A1 (en) | 2016-04-29 | 2016-04-29 | Method and device for estimating repair probability, server, terminal, and storage medium |
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| CN112668731A (en) * | 2019-10-15 | 2021-04-16 | 深圳怡化电脑股份有限公司 | Tool distribution method and device and computer equipment |
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| CN105469149A (en) * | 2015-11-21 | 2016-04-06 | 国网山东滨州市沾化区供电公司 | Service system for electric power fault reporting and repairing |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112668731A (en) * | 2019-10-15 | 2021-04-16 | 深圳怡化电脑股份有限公司 | Tool distribution method and device and computer equipment |
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| WO2017185379A1 (en) | 2017-11-02 |
| CN107548543B (en) | 2020-02-14 |
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