CN106506226B - A kind of starting method and device of fault detection - Google Patents

A kind of starting method and device of fault detection Download PDF

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Publication number
CN106506226B
CN106506226B CN201611074001.6A CN201611074001A CN106506226B CN 106506226 B CN106506226 B CN 106506226B CN 201611074001 A CN201611074001 A CN 201611074001A CN 106506226 B CN106506226 B CN 106506226B
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network
time intervals
historical time
network equipment
server
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CN106506226A (en
Inventor
刘尊民
刘鑫鑫
韩书亮
冯远宏
孙郁
梁杰
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Qingdao Hisense Network Technology Co Ltd
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Qingdao Hisense Network Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • H04L41/0677Localisation of faults
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses a kind of starting method and devices of fault detection, this method includes the historical time intervals that server obtains the upload data of terminal device in set period of time, the historical time intervals are optimized, and determine the first average value and first variance of the historical time intervals after optimization, according to the first average value and first variance of the historical time intervals after the optimization, determine the time interval threshold value of fault detection, if it is determined that the time interval that terminal device currently uploads data is greater than the time interval threshold value of the fault detection, then carry out the fault detection of the terminal device.Pass through the historical time intervals of the upload data by terminal device, automatic operation generates the time interval threshold value of fault detection, and determine terminal device currently upload data time interval be more than the time interval threshold value after automatic startup separator detection process, quick startup separator detection may be implemented, improve the efficiency of fault detection.

Description

A kind of starting method and device of fault detection
Technical field
The present embodiments relate to equipment operation management service field in field of traffic more particularly to a kind of fault detections Start method and device.
Background technique
Traditional fault diagnosis technology is to pass through various analyses, processing means combination work by collecting failure raw information The rich experiences of personnel carry out comprehensive analysis and identification to fault message.This method relies on the intervention of operator to complete, diagnosis As a result big and huge for the diagnostic work amount of traffic operational system, the need of unsuitable Informatization Development are affected by human factors It asks.
Intelligent failure diagnosis method carries out analysis identification to malfunction automatically using intelligent algorithm, is fault diagnosis field Important development direction.It is more to network service failure modeling and diagnostic method research at present, as special in artificial intelligence application Family's system, nerual network technique, fuzzy theory etc. can solve troubleshooting issue from different approaches.But in big data background Under intelligent transportation system in, generally existing operation is excessively complicated, the problem of poor reliability and result inaccuracy.Mature at present Fault diagnosis technology can not adapt to intelligent transportation operation management service.
Summary of the invention
The embodiment of the present invention provides a kind of starting method and device of fault detection, to realize in field of traffic quickly The process for starting terminal equipment failure detection, accurately determines the failure of terminal device.
A kind of starting method of fault detection provided in an embodiment of the present invention, comprising:
Server obtains the historical time intervals of the upload data of terminal device in set period of time;
The server optimizes the historical time intervals, and determines the of the historical time intervals after optimization One average value and first variance;
The server determines event according to the first average value and first variance of the historical time intervals after the optimization Hinder the time interval threshold value of detection;
The server is if it is determined that the time interval that terminal device currently uploads data is greater than the time of the fault detection Interval threshold then carries out the fault detection of the terminal device.
Optionally, first average value and first variance for determining the historical time intervals after optimization, comprising:
First average value of the historical time intervals after the server calculation optimization, and based on the history after the optimization First average value of time interval, the first variance of the historical time intervals after determining the optimization.
Optionally, the server optimizes the historical time intervals, comprising:
The server deletes maximum and minimum in the historical time intervals, and calculates between remaining historical time Every the second average value and second variance;
Second average value and second variance of the server according to the remaining historical time intervals, delete the residue Exception history time interval in historical time intervals, the historical time intervals after being optimized.
Optionally, the server carries out the fault detection of the terminal device, including
By network adapter, the all-network equipment into network sends inspection instruction to the server, if all-network is set Standby communication is normal, it is determined that the network apparatus in networks does not break down, server data Layer into the network All data communication services adapters send test instruction, if the non-returned data of data communication services adapter, it is determined that described Data link breaks down, if the data communication services adapter returned data, it is determined that the terminal device breaks down;
If the network device communications in the network are abnormal, the server determines the net to break down in the network Network equipment.
Optionally, the server determines the network equipment to break down in the network, comprising:
For any bar network link in network, the terminal device with the bottom of the network link is the server Starting point, each network equipment in Xiang Suoshu network link sends inspection instruction, until receiving feedback command;
The network equipment of the next stage of the corresponding network equipment of the feedback command is determined as to be confirmed by the server The network equipment of failure;
If the network equipment that the server does not receive the next stage of the network equipment corresponding with the feedback command is connected The feedback command of the all-network equipment connect then sets the network that the network equipment of the failure to be confirmed is determined as breaking down It is standby.
Correspondingly, the embodiment of the invention also provides a kind of starters of fault detection, comprising:
Acquiring unit, the historical time intervals of the upload data for obtaining terminal device in set period of time;
Processing unit for optimizing to the historical time intervals, and determines the historical time intervals after optimization The first average value and first variance;And according to the first average value and first variance of the historical time intervals after the optimization, Determine the time interval threshold value of fault detection;
Start unit, for determine terminal device currently upload data time interval be greater than the fault detection when Between interval threshold when, carry out the fault detection of the terminal device.
Optionally, the processing unit is also used to:
First average value of the historical time intervals after the server calculation optimization, and based on the history after the optimization First average value of time interval, the first variance of the historical time intervals after determining the optimization.
Optionally, the processing unit is specifically used for:
The maximum and minimum in the historical time intervals are deleted, and calculates the second flat of remaining historical time intervals Mean value and second variance;
According to the second average value and second variance of the remaining historical time intervals, between the deletion remaining historical time Exception history time interval in, the historical time intervals after being optimized.
Optionally, the start unit is specifically used for:
By network adapter, into network, all-network equipment sends inspection instruction, if the communication of all-network equipment is just Often, it is determined that the network apparatus in networks does not break down, and all data communication services of data Layer are suitable in Xiang Suoshu network Orchestration sends test instruction, if the non-returned data of data communication services adapter, it is determined that and the data link breaks down, if The data communication services adapter returned data, it is determined that the terminal device breaks down;
If the network device communications in the network are abnormal, it is determined that the network equipment to break down in the network.
Optionally, the start unit is specifically used for:
For any bar network link in network, using the terminal device of the bottom of the network link as starting point, to Each network equipment in the network link sends inspection instruction, until receiving feedback command;
The network equipment of the next stage of the corresponding network equipment of the feedback command is determined as to the network of failure to be confirmed Equipment;
If all nets that the network equipment for not receiving the next stage of the network equipment corresponding with the feedback command is connected The network equipment of the failure to be confirmed is then determined as the network equipment to break down by the feedback command of network equipment.
The embodiment of the present invention shows that server obtains in set period of time between the historical time of the upload data of terminal device Every, the historical time intervals are optimized, and determine optimization after historical time intervals the first average value and first Variance determines the time of fault detection according to the first average value and first variance of the historical time intervals after the optimization Interval threshold, however, it is determined that the time interval that terminal device currently uploads data is greater than the time interval threshold value of the fault detection, Then carry out the fault detection of the terminal device.It is automatic to transport by the historical time intervals of the upload data by terminal device The time interval threshold value for generating fault detection is calculated, and is more than the time in the time interval for determining that terminal device currently uploads data The process of automatic startup separator detection after interval threshold, may be implemented quick startup separator detection, improves fault detection Efficiency.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment Attached drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this For the those of ordinary skill in field, without creative efforts, it can also be obtained according to these attached drawings other Attached drawing.
Fig. 1 is a kind of flow diagram of the starting method of fault detection provided in an embodiment of the present invention;
Fig. 2 is the schematic diagram of the network linking in network provided in an embodiment of the present invention;
Fig. 3 is a kind of flow diagram of the method for fault detection provided in an embodiment of the present invention;
Fig. 4 is a kind of structural schematic diagram of the starter of fault detection provided in an embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into It is described in detail to one step, it is clear that described embodiments are only a part of the embodiments of the present invention, rather than whole implementation Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts All other embodiment, shall fall within the protection scope of the present invention.
In embodiments of the present invention, server is O&M server, the i.e. server of field of traffic operation management.
Fig. 1 illustratively shows the process of a kind of starting method of fault detection, which can be by fault detection Starter executes, which can be located in O&M server, can be the O&M server.
As shown in Figure 1, the specific steps of the process include:
Step 101, server obtains the historical time intervals of the upload data of terminal device in set period of time.
Step 102, the server optimizes the historical time intervals, and determines the historical time after optimization First average value and first variance at interval.
Step 103, the server is according to the first average value and first variance of the historical time intervals after the optimization, Determine the time interval threshold value of fault detection;
Step 104, the server is if it is determined that the time interval that terminal device currently uploads data is examined greater than the failure The time interval threshold value of survey, then carry out the fault detection of the terminal device.
In a step 101, since terminal device needs often to upload data to server, the available terminal of server is set The standby time interval for uploading data judge the terminal device whether failure, therefore the available terminal device of server uploads number According to time interval.
After the time interval for obtaining terminal device upload data, server is just it needs to be determined that the terminal device uploads number According to time interval whether be greater than time interval threshold value.
Server can automatic maintenance terminal device threshold table and terminal device information table, terminal device and server Always linking status is maintained, using the adaptive operation production method of terminal device data acquiring frequency feature is based on, is arranged automatically Time interval threshold value.Specifically, server obtains the historical time intervals of the upload data of terminal device in set period of time.It should Set period of time can be empirically configured.Server is gone through according to the historical data in terminal device measurement period, extraction The time interval that history data upload, it is assumed that collect N+1 data, calculate the time interval between data, generate data sequence, note For { Ti| i=1,2,3 ... N }, N is positive integer.
In a step 102, by step 101 obtain historical time intervals after, server to the historical time intervals into Row optimization, and the first average value of the historical time intervals after calculation optimization.Specifically, in server deleting history time interval Maximum and minimum, and the second average value and second variance of remaining historical time intervals are calculated, when according to remaining history Between the second average value for being spaced and second variance, delete the exception history time interval in remaining historical time intervals, complete pair The optimization of historical time intervals.If Min-max is respectively T in the data sequence of above-mentioned historical time intervalsmin、Tmax, delete Average value is calculated after maximum and minimum, is denoted as TM.The following formula of calculation (1):
Wherein, TMFor the second average value of remaining historical time intervals, TiFor i-th of historical time intervals, TminFor history Minimum in time interval, TmaxFor the maximum in historical time intervals.
Remove Tmin, TmaxAfterwards, the data sequence for reorganizing historical time intervals is { Ti| i=1,2,3 ... (N-2) }. The variance for calculating the data sequence of N-2 historical time intervals, is denoted as Tσ.Calculation formula is as follows:
Wherein, TσFor the second variance of remaining historical time intervals, TMFor the second average value of remaining historical time intervals, TiFor i-th of historical time intervals.
Calculate TσLater, according to the TσAnd TMDetermine data deviation, rejecting abnormalities data.Wherein k is coefficient, in program Middle dynamic setting, to determine the ratio for rejecting data.Exception history time interval can be determined by formula (3).
|Ti-TM|≥k·Tσ…………………………(3)
Wherein, TσFor the second variance of remaining historical time intervals, TMFor the second average value of remaining historical time intervals, TiFor i-th of historical time intervals, k is coefficient, which is set by system dynamic.
First average value of the server based on the historical time intervals after optimization determines the historical time intervals after optimizing First variance.Last server determines that failure is examined according to the first average value and first variance of the historical time intervals after optimization The time interval threshold value of survey.
Specifically, assuming that the number for the historical time intervals deleted is m, the data sequence of historical time intervals is reorganized It is classified as { Ti| i=1,2,3 ... N-m-2 }, it is recalculated respectively according to formula (4) and formula (5) between the historical time after optimizing Every the first average value and first variance.
Wherein, TM' for optimization after historical time intervals the first average value, TiFor i-th of historical time intervals.
Wherein, Tσ' for optimization after historical time intervals first variance, TM' it is the of the historical time intervals after optimization One average value, TiFor i-th of historical time intervals.
According to the Tσ' and TM' available fault detection time interval threshold value, specifically can be according to formula (6) To the time interval threshold value of the fault detection.
The formula (6) are as follows:
TG=Tm'+k'×Tσ'…………………………(6)
Wherein, TGFor the time interval threshold value of fault detection, Tσ' for optimization after historical time intervals first variance, TM' for the first average value of the historical time intervals after optimization, k' is coefficient, can be set according to data variance value dynamic.
Assuming that not uploading the time interval T of the terminal device of data currentlyd, work as TdWhen meeting formula (7), that is, determine When the time interval that terminal device currently uploads data is greater than the time interval threshold value of fault detection, the failure of terminal device is carried out Detection.
Td≥TM'+k'·Tσ'…………………………(7)
Wherein, TdThe time interval of data, T are currently uploaded for terminal deviceσ' it is the of the historical time intervals after optimization One variance, TM' for optimization after historical time intervals the first average value, k' is coefficient.
At step 104, server server carry out terminal device fault detection before, server also it needs to be determined that The detailed trouble information code of the terminal device whether active upload itself, if so, the terminal device itself can be determined Failure no longer needs to the fault detection for carrying out terminal device.
If not receiving the detailed trouble information code of itself of terminal device active upload, server needs to carry out eventually The fault detection of end equipment, specific:
Whether the server detection network equipment breaks down, and mainly by network adapter, into network, all-network is set Preparation send inspection to instruct, if the communication of all-network equipment is normal, it is determined that network apparatus in networks does not break down, otherwise, really Determine the network equipment to break down in network.That is, server by utilizing network adapter, timing all-network device broadcasts Inspection instruction is sent, the all-network equipment in network is detected.If the communication of all-network equipment is normal, it is determined that network The middle network equipment does not break down, otherwise, it determines the network equipment to break down in network.
Specifically, server, for any bar network link in network, the terminal device with the bottom of network link is Starting point, each network equipment into network link sends inspection instruction, until receiving feedback command.Server will The network equipment of the next stage of the corresponding network equipment of feedback command is determined as the network equipment of failure to be confirmed.Server later If the feedback for the all-network equipment that the network equipment for not receiving the next stage of the network equipment corresponding with feedback command is connected Instruction, then be determined as the network equipment to break down for the network equipment of failure to be confirmed.From the terminal device of bottom-layer network by Layer retrospect network state, diagnostic instruction is sent in a manner of poll, identification judgement is carried out to returning the result, traces back to always without reason The network equipment of barrier.
For example, as illustrated in fig. 2, it is assumed that network totally 5 layers of structure, it is assumed that network equipment C0 failure, under the network equipment For all-network equipment all in abnormal communication states, detection method is as follows:
First link: inspection sequence is E0, D0, C0, B0.Terminate after to normal network equipment B0.
Article 2 link: inspection sequence is E1, D0, C0, B0.Terminate after to normal network equipment B0.
Article 3 link: inspection sequence is E2, D1, C0, B0.Terminate after to normal network equipment B0.
Then other chain circuit detecting methods are same as above.
All communication abnormality network equipments under network equipment C0 reversely trace back to network equipment B0, and network equipment C0 is true It is set to the network link of failure to be confirmed.Each of the links testing result can navigate to network equipment C0 and break down, and meet all It, i.e., can be with the net of failure to be confirmed after the mutual verifying of the normal network equipment of polyisocyanate after the breakdown judge state consistency of the network equipment Network equipment is determined as the network equipment to break down.If the network equipment quantity under failed network device is greater than 100, to improve Speed is traversed, then only judges the interlocking proofing state of 100 network equipments, shields the fault message of other network equipments.
By the above method reversely layer-by-layer multichannel diagnosis, parallel multi-thread various dimensions are counter to be deduced, with network equipment event Barrier positioning is mutually authenticated, and shields the network equipment lower layer network equipment failure letter for having obtained verifying.
If network equipment failure reparation is completed, or is broken down without the network equipment, still can not receive on terminal device Data are passed, then the source of failure may be data link failure or terminal equipment failure.
Server continues to determine whether data link breaks down, specifically, server into network data Layer it is all Data communication services adapter sends test instruction, if the non-returned data of data communication services adapter, it is determined that data link It breaks down.Server is after judging no network link failure, the communication test thread of log-on data link, carries out data link Troubleshooting.Test instruction is issued by server, sequentially returns to return data in each service adapter program of data plane.Such as Fruit is abnormal, and the abnormal mark of modification data link table identifies the data communication services adapter fails of this data link, reported Barrier.By the diagnostic method, failure can be accurately positioned to data communication services adapter, determine that data link breaks down.
If above-mentioned data link reparation is completed or no data link layer breaks down, and still can not be received terminal and be set It is standby to upload data, then show the terminal device itself fail, can determine that the terminal device breaks down, notifies work people Member overhauls the terminal device.
Embodiment in order to preferably explain the present invention will describe the stream of fault detection by specific implement scene below Journey.
In embodiments of the present invention, server is O&M server, the i.e. server of field of traffic operation management.
As shown in figure 3, the specific steps of the process comprises:
Step 301, O&M server obtains the time interval that terminal device uploads data.
Step 302, whether the time interval that O&M server judges that the terminal device obtained uploads data is more than between the time Every threshold value, if so, step 303 is transferred to, if it is not, being then transferred to step 301.
Step 303, whether O&M server judges terminal device active reporting fault code, if so, being transferred to step 308, if it is not, being then transferred to step 304.
Step 304, the O&M server starting network equipment diagnoses thread.
Step 305, O&M server judge the network equipment whether failure, if so, step 309 is transferred to, if it is not, being then transferred to Step 306.
Step 306, O&M server log-on data Diagnosis of Links thread.
Step 307, O&M server judge data link whether failure, if so, step 310 is transferred to, if it is not, being then transferred to Step 308.
Step 308, O&M server determines that the terminal device breaks down.
Step 309, network equipment failure is handled.
Step 310, data link troubleshooting.
Step 311, terminal equipment failure is handled.
The specific embodiment of above-mentioned steps describes in the above-described embodiments, repeats no more.
Above-described embodiment shows that server obtains in set period of time between the historical time of the upload data of terminal device Every, the historical time intervals are optimized, and determine optimization after historical time intervals the first average value and first Variance determines the time of fault detection according to the first average value and first variance of the historical time intervals after the optimization Interval threshold, however, it is determined that the time interval that terminal device currently uploads data is greater than the time interval threshold value of the fault detection, Then carry out the fault detection of the terminal device.It is automatic to transport by the historical time intervals of the upload data by terminal device The time interval threshold value for generating fault detection is calculated, and is more than the time in the time interval for determining that terminal device currently uploads data The process of automatic startup separator detection after interval threshold, may be implemented quick startup separator detection, improves fault detection Efficiency
The embodiment of the present invention is that the upload frequencies based on device history data automatically generate time interval data sequence, is rejected After abnormal data, by statistical average method, the data uplink time separation standard value of equipment is obtained, on the basis of weighted variance On, adaptive operation generation time interval threshold is more than automatic startup separator diagnostic process after threshold value.By opening up lattice chain Road monitors thread and data link monitors thread, carries out precise positioning to intelligent transportation system total failure state.It can differentiate Fault message includes: terminal equipment failure (hardware), network equipment failure (hardware), communication service adapter (software) failure. Wherein terminal device can navigate to certain equipment;The network equipment can navigate to certain equipment in network structure;Communication service journey Sequence can navigate to some routine interface in software architecture.According to network link structure and number of terminals, setting various dimensions network event Barrier detection thread.According to detection return information, carry out that failure is counter deduces positioning.It successively detects, navigates to since network bottom layer Terminal equipment failure information source, in conjunction with faulty equipment address information has been reported, carries out fault message interlocking if there is multiple impaired report informations Verifying.The accurate positioning of intelligent Transportation Terminal equipment can be realized by this method.
Based on the same technical idea, Fig. 4 illustratively shows a kind of fault detection provided in an embodiment of the present invention Starter, the device can execute the process of the starting of fault detection, which can be located in O&M server, can also be with It is the O&M server.
As described in Figure 4, which specifically includes:
Acquiring unit 401, the historical time intervals of the upload data for obtaining terminal device in set period of time;
Processing unit 402, for being optimized to the historical time intervals, and determine optimization after historical time between Every the first average value and first variance;And according to the first average value and first party of the historical time intervals after the optimization Difference determines the time interval threshold value of fault detection;
Start unit 403, for determine terminal device currently upload data time interval be greater than the fault detection Time interval threshold value when, carry out the fault detection of the terminal device.
Optionally, the processing unit 402 is also used to:
First average value of the historical time intervals after the server calculation optimization, and based on the history after the optimization First average value of time interval, the first variance of the historical time intervals after determining the optimization.
Optionally, the processing unit 402 is specifically used for:
The maximum and minimum in the historical time intervals are deleted, and calculates the second flat of remaining historical time intervals Mean value and second variance;
According to the second average value and second variance of the remaining historical time intervals, between the deletion remaining historical time Exception history time interval in, the historical time intervals after being optimized.
Optionally, the start unit 403 is specifically used for:
By network adapter, into network, all-network equipment sends inspection instruction, if the communication of all-network equipment is just Often, it is determined that the network apparatus in networks does not break down, and all data communication services of data Layer are suitable in Xiang Suoshu network Orchestration sends test instruction, if the non-returned data of data communication services adapter, it is determined that and the data link breaks down, if The data communication services adapter returned data, it is determined that the terminal device breaks down;
If the network device communications in the network are abnormal, it is determined that the network equipment to break down in the network.
Optionally, the start unit 403 is specifically used for:
For any bar network link in network, using the terminal device of the bottom of the network link as starting point, to Each network equipment in the network link sends inspection instruction, until receiving feedback command;
The network equipment of the next stage of the corresponding network equipment of the feedback command is determined as to the network of failure to be confirmed Equipment;
If all nets that the network equipment for not receiving the next stage of the network equipment corresponding with the feedback command is connected The network equipment of the failure to be confirmed is then determined as the network equipment to break down by the feedback command of network equipment.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies Within, then the present invention is also intended to include these modifications and variations.

Claims (10)

1. a kind of starting method of fault detection characterized by comprising
Server obtains the historical time intervals of the upload data of terminal device in set period of time;
The server optimizes the historical time intervals, and determines the first flat of the historical time intervals after optimization Mean value and first variance;
The server determines inspection of being out of order according to the first average value and first variance of the historical time intervals after the optimization The time interval threshold value of survey;
The server is if it is determined that the time interval that terminal device currently uploads data is greater than the time interval of the fault detection Threshold value then carries out fault detection to network apparatus in networks, data link, the terminal device and determines that position occurs for failure.
2. the method as described in claim 1, which is characterized in that described to determine the first flat of the historical time intervals after optimization Mean value and first variance, comprising:
First average value of the historical time intervals after the server calculation optimization, and based on the historical time after the optimization First average value at interval, the first variance of the historical time intervals after determining the optimization.
3. the method as described in claim 1, which is characterized in that the server optimizes the historical time intervals, Include:
The server deletes maximum and minimum in the historical time intervals, and calculates remaining historical time intervals Second average value and second variance;
Second average value and second variance of the server according to the remaining historical time intervals, delete the remaining history Exception history time interval in time interval, the historical time intervals after being optimized.
4. the method as described in claim 1, which is characterized in that the server is to network apparatus in networks, data link, institute Terminal device is stated to carry out fault detection and determine that position occurs for failure, including
By network adapter, the all-network equipment into network sends inspection instruction to the server, if all-network equipment is logical Letter is normal, it is determined that the network apparatus in networks does not break down, the server into the network data Layer it is all Data communication services adapter sends test instruction, if the non-returned data of data communication services adapter, it is determined that the data Link breaks down, if the data communication services adapter returned data, it is determined that the terminal device breaks down;
If the network device communications in the network are abnormal, the server determines that the network to break down in the network is set It is standby.
5. method as claimed in claim 4, which is characterized in that the server determines the network to break down in the network Equipment, comprising:
The server is starting with the terminal device of the bottom of the network link for any bar network link in network Point, each network equipment in Xiang Suoshu network link sends inspection instruction, until receiving feedback command;
The network equipment of the next stage of the corresponding network equipment of the feedback command is determined as failure to be confirmed by the server The network equipment;
What if the network equipment that the server does not receive the next stage of the network equipment corresponding with the feedback command was connected The network equipment of the failure to be confirmed is then determined as the network equipment to break down by the feedback command of all-network equipment.
6. a kind of starter of fault detection characterized by comprising
Acquiring unit, the historical time intervals of the upload data for obtaining terminal device in set period of time;
Processing unit for optimizing to the historical time intervals, and determines the of the historical time intervals after optimization One average value and first variance;And according to the first average value and first variance of the historical time intervals after the optimization, determine Be out of order the time interval threshold value of detection;
Start unit, between determining that terminal device currently uploads time of the time interval greater than the fault detection of data When threshold value, fault detection is carried out to network apparatus in networks, data link, the terminal device and determines that position occurs for failure It sets.
7. device as claimed in claim 6, which is characterized in that the processing unit is also used to:
First average value of the historical time intervals after calculation optimization, and first based on the historical time intervals after the optimization Average value, the first variance of the historical time intervals after determining the optimization.
8. device as claimed in claim 6, which is characterized in that the processing unit is specifically used for:
The maximum and minimum in the historical time intervals are deleted, and calculates the second average value of remaining historical time intervals And second variance;
According to the second average value and second variance of the remaining historical time intervals, delete in the remaining historical time intervals Exception history time interval, the historical time intervals after being optimized.
9. device as claimed in claim 6, which is characterized in that the start unit is specifically used for:
By network adapter, into network, all-network equipment sends inspection instruction, if the communication of all-network equipment is normal, Determine that the network apparatus in networks does not break down, all data communication services adapters hair of data Layer in Xiang Suoshu network Test is sent to instruct, if the non-returned data of data communication services adapter, it is determined that the data link breaks down, if the number According to communication service adapter returned data, it is determined that the terminal device breaks down;
If the network device communications in the network are abnormal, it is determined that the network equipment to break down in the network.
10. device as claimed in claim 9, which is characterized in that the start unit is specifically used for:
For any bar network link in network, using the terminal device of the bottom of the network link as starting point, Xiang Suoshu Each network equipment in network link sends inspection instruction, until receiving feedback command;
The network equipment of the next stage of the corresponding network equipment of the feedback command is determined as to the network equipment of failure to be confirmed;
If the all-network that the network equipment for not receiving the next stage of the network equipment corresponding with the feedback command is connected is set The network equipment of the failure to be confirmed is then determined as the network equipment to break down by standby feedback command.
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Families Citing this family (4)

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CN109683097A (en) * 2018-12-21 2019-04-26 广东浪潮大数据研究有限公司 A kind of BBU capacity method of calibration, device and relevant device
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CN111953533B (en) * 2020-07-30 2021-06-15 腾讯科技(深圳)有限公司 Method, device and equipment for regulating and controlling working duration of target network node and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101383023B (en) * 2008-10-22 2011-04-06 西安交通大学 Neural network short-term electric load prediction based on sample dynamic organization and temperature compensation
CN103957229A (en) * 2013-12-31 2014-07-30 电子科技大学 Active updating method, device and server for physical machines in IaaS cloud system
CN105825675A (en) * 2016-05-17 2016-08-03 青岛海信网络科技股份有限公司 Link travel time calculating method and link travel time calculating device based on big data

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110130916A1 (en) * 2009-12-01 2011-06-02 Ise Corporation Location Based Vehicle Data Logging and Diagnostic System and Method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101383023B (en) * 2008-10-22 2011-04-06 西安交通大学 Neural network short-term electric load prediction based on sample dynamic organization and temperature compensation
CN103957229A (en) * 2013-12-31 2014-07-30 电子科技大学 Active updating method, device and server for physical machines in IaaS cloud system
CN105825675A (en) * 2016-05-17 2016-08-03 青岛海信网络科技股份有限公司 Link travel time calculating method and link travel time calculating device based on big data

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