CN108062088A - Station terminal failure risk method for early warning, device, terminal and storage medium - Google Patents
Station terminal failure risk method for early warning, device, terminal and storage medium Download PDFInfo
- Publication number
- CN108062088A CN108062088A CN201711380803.4A CN201711380803A CN108062088A CN 108062088 A CN108062088 A CN 108062088A CN 201711380803 A CN201711380803 A CN 201711380803A CN 108062088 A CN108062088 A CN 108062088A
- Authority
- CN
- China
- Prior art keywords
- station
- station terminal
- fault
- failure risk
- terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
Abstract
The invention discloses a kind of station terminal failure risk method for early warning, device, terminal and storage medium, the described method includes:The current operating data of station terminal is obtained, the current operating data includes current health parameter value;Extract the control health parameters value of the preset threshold range comprising the current health parameter value and the corresponding fault message of the control health parameters value in the fault signature knowledge base pre-established, the control health parameters value extracted and corresponding fault message by default algorithm are calculated, obtain the current failure risk state of the station terminal;The failure risk state includes the probability that fault type and the fault type occur;When the probability that the fault type occurs reaches default fault pre-alarming threshold value, fault pre-alarming signal is sent.Early warning can be carried out to the potential failure risk occurred frequently of station terminal using the embodiment of the present invention, improve the timeliness of troubleshooting.
Description
Technical field
The present invention relates to station terminal failure monitoring field more particularly to a kind of station terminal failure risk method for early warning,
Device, terminal and storage medium.
Background technology
Usually to run as target in the process of construction of early stage, emphasis is intended to ensure the work(of operation for urban track traffic
Can, not using the operation and maintenance of station AFC system as important goal.In recent years, the rule of various regions urban rail transit construction
Mould presents a rapidly rising trend, and because AFC system failure causes station subway concourse congestion in the public places such as subway, high ferro, draws
Hair passenger complains and the case of security risk happens occasionally.It is runed for the health of effective guarantee AFC system, to station
Terminal is overhauled, fault diagnosis early warning and health control, and will undoubtedly be provided for safe, the comfortable operation of urban track traffic must
The guarantee wanted.
Existing AFC system is divided into five layer architectures, is calculated including central score-clearing system, routine calculation machine, station
Machine, station terminal and ticket card.Wherein, station terminal be mounted on subway concourse, be directly facing passenger provide it is self-service sell ticket checking service.
During operation, the status information of itself is uploaded to station computer and uploaded step by step by station terminal in real time, in final arrival
Score-clearing system is entreated, is monitored in real time with the state to each hardware module in station terminal, when hardware module breaks down, work
Making personnel can notify that maintenance personal shows up place according to the fault cues on station computer, routine calculation machine or central score-clearing system
Reason.But existing failure feedback mechanism is only limitted to handle current failure, has some limitations.
The content of the invention
The embodiment of the present invention provides a kind of station terminal failure risk method for early warning, device, terminal and storage medium, can have
Effect solves the prior art can not failure occurred frequently potential to station terminal the technical issues of carrying out early warning.
One embodiment of the invention provides a kind of station terminal failure risk method for early warning, including:
The current operating data of station terminal is obtained, the current operating data includes current health parameter value;
Extract the preset threshold range comprising the current health parameter value in the fault signature knowledge base pre-established
Compare health parameters value and the corresponding fault message of the control health parameters value, the control health parameters that will be extracted
Value and corresponding fault message are calculated by default algorithm, obtain the current failure risk state of the station terminal;
The failure risk state includes the probability that fault type and the fault type occur;
When the probability that the fault type occurs reaches default fault pre-alarming threshold value, fault pre-alarming signal is sent.
Preferably, the volume of the flow of passengers of the fault pre-alarming threshold value within a predetermined range with the station where the station terminal is in
It is negatively correlated.
Preferably, according to the failure development law of the station terminal precalculated, the fault type is calculated pre-
If the remaining time occurred under probability;Wherein, failure classes of the failure development law in the fault signature knowledge base
Type and corresponding control health parameters the Fitting Calculation obtain;
When the remaining time reaching default time threshold value of warning, time pre-warning signal is sent.
Preferably, the currently available Maintenance Resource information in station is detected, extracts the history maintenance record at the station;Its
In, station of the station where the station terminal and/or multiple stations with station networking;
According to the pre-warning signal, the fault type and history maintenance record, with reference to the currently available repair in station
Resource information generates maintenance decision information;
The maintenance decision information of generation is exported.
Preferably, the maintenance decision information includes increasing manual service, carry out passenger flow limitation and distributing maintenance mans, dimension
Repair at least one of method information.Preferably, when receiving the station terminal out of order signal, by the station
The fault type of the failure occurs for terminal and its corresponding health parameters value is added in the fault signature knowledge base.
Preferably, the health parameters value includes following one or more:
Characterize the ageing parameter value of the degree of aging of the station terminal modules;
Characterize the operating parameter values of the day loss of the station terminal modules.
Preferably, when the ageing parameter value is the current run time and design and operation of the station terminal modules
Between ratio or the station terminal modules current transaction count with design transaction count ratio;And/or the work ginseng
Numerical value is the Day Trading number of the station terminal modules.
Compared with prior art, station terminal failure risk method for early warning disclosed by the embodiments of the present invention, it is pre- by extracting
The control health ginseng of the preset threshold range of the current health parameter value included in the fault signature knowledge base first established
Numerical value and the corresponding fault message of each control health parameters value, and each control health parameters that will be extracted
Value and corresponding fault message are calculated by default algorithm, obtain the current failure risk state of the station terminal,
The failure risk state includes the probability that fault type and the fault type occur.When the probability that the fault type occurs
It when reaching default threshold value of warning, issues warning signal, realizes failure risk occurred frequently potential to station terminal and carry out early warning,
Improve the timeliness of troubleshooting.
Another embodiment of the present invention correspondence provides a kind of station terminal failure risk prior-warning device, including:
Data acquisition module, for obtaining the current operating data of station terminal, the current operating data includes current
Health parameters value;
Failure risk computing module is joined for extracting in the fault signature knowledge base pre-established comprising the current health
The control health parameters value of the preset threshold range of numerical value and the corresponding fault message of the control health parameters value, and will carry
The control health parameters value and corresponding fault message taken out are calculated by default algorithm, and it is whole to obtain the station
Hold current failure risk state;The failure risk state includes the probability that fault type and the fault type occur;
Failure risk warning module reaches default fault pre-alarming threshold value for working as the probability that the fault type occurs
When, send fault pre-alarming signal.
Preferably, the station terminal failure risk prior-warning device further includes:
Fault time computing module for the failure development law according to the station terminal precalculated, calculates institute
State the remaining time that fault type occurs under predetermined probabilities;Wherein, the failure development law is known according to the fault signature
Know the fault type in storehouse and corresponding control health parameters the Fitting Calculation obtains;
Fault time warning module, for when the remaining time reaching default time threshold value of warning, sending the time
Pre-warning signal.
Preferably, the station terminal failure risk prior-warning device further includes:
Maintenance Resource detection module for detecting the currently available Maintenance Resource information in station, extracts going through for the station
History maintenance record;Wherein, station of the station where the station terminal and/or multiple stations with station networking;
Maintenance decision generation module, for being believed according to the fault pre-alarming signal, the fault type, the time early warning
Number and history maintenance record, with reference to the currently available Maintenance Resource information in station, generate maintenance decision information;
Maintenance decision notification module, for the maintenance decision information output that will be generated.
Preferably, the station terminal failure risk prior-warning device further includes:
Knowledge base update module, it is for when receiving the station terminal out of order signal, the station is whole
The fault type of the failure occurs for end and its corresponding health parameters value is added in the fault signature knowledge base.
Compared with prior art, station terminal failure risk prior-warning device disclosed by the embodiments of the present invention passes through data acquisition
Module obtains the current operating data of station terminal;It is current that the station terminal is calculated by failure risk computing module
Failure risk state, the failure risk state include the probability that fault type and the fault type occur;Then event is passed through
Barrier Risk-warning module is issued warning signal, realized to station terminal to reaching the failure risk of default threshold value of warning
Potential failure risk occurred frequently carries out the purpose of early warning.
Another embodiment of the present invention provides a kind of terminal, including processor, memory and is stored in the memory
In and be configured as the computer program performed by the processor, the processor is realized when performing the computer program
State the station terminal failure risk method for early warning described in inventive embodiments.
Another embodiment of the present invention provides a kind of storage medium, and the storage medium includes the computer program of storage,
Wherein, equipment where controlling the storage medium when the computer program is run performs the vehicle described in foregoing invention embodiment
It stands terminal fault method for prewarning risk.
Description of the drawings
Fig. 1 is a kind of flow diagram for station terminal failure risk method for early warning that first embodiment of the invention provides.
Fig. 2 is a kind of flow diagram for station terminal failure risk method for early warning that second embodiment of the invention provides.
Fig. 3 is a kind of flow diagram for station terminal failure risk method for early warning that third embodiment of the invention provides
Fig. 4 is a kind of flow diagram for station terminal failure risk method for early warning that fourth embodiment of the invention provides
Fig. 5 is a kind of structure diagram for station terminal failure risk prior-warning device that fifth embodiment of the invention provides.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts
Embodiment belongs to the scope of protection of the invention.
It is that a kind of flow for station terminal failure risk method for early warning that first embodiment of the invention provides is shown referring to Fig. 1
It is intended to, including:
S101, the current operating data for obtaining station terminal, the current operating data include current health parameter value.
In the present embodiment, the station terminal current operating data can be obtained by the control software automatic running of station terminal
It takes or querying command is actively issued by station terminal failure risk prior-warning device, the control software of station terminal to be driven to examine
It surveys and obtains, the embodiment of the present invention is not especially limited.
In the present embodiment, the health parameters value is and the relevant series of parameters of the working life of the station terminal
Value, for example, in the present embodiment, the health parameters value may include the degree of aging for characterizing the station terminal modules
The operating parameter values of the day loss of ageing parameter value and the characterization station terminal modules.Wherein, the ageing parameter value
Refer to the current run time of the station terminal modules and the ratio of design and operation time or each mould of the station terminal
The ratio of the current transaction count of block and design transaction count;The operating parameter values are handed over for the day of the station terminal modules
Easy number.By taking ageing parameter value as an example, it is assumed that the processing that the design transaction count of bank note module passes in and out for 1,000,000 bank note, when
Preceding to have added up to perform 500,000 bank note disengaging processing, then the ageing parameter value of the bank note module is 50%.
In the present embodiment, the station terminal current operating data can also include modules register data,
Transaction data and journal file etc..
The predetermined threshold value model for including the current health parameter value in the fault signature knowledge base that S102, extraction pre-establish
The control health parameters value and the corresponding fault message of the control health parameters value enclosed, by the control extracted health
Parameter value and corresponding fault message are calculated by default algorithm, obtain the current failure risk shape of the station terminal
State;The failure risk state includes the probability that fault type and the fault type occur.
In the present embodiment, the fault signature knowledge base is that the operation monitoring data of the station terminal based on station combines
Station maintenance record is extracted by magnanimity analysis and core content, is built a set of of formation and is provided fault pre-alarming and decision-making refers to
Draw the Heuristics platform of foundation.Wherein, the operation monitoring data includes the station terminal modules state, register
Data, transaction data and running log, but not limited to this.
It should be noted that the historical failure information of the fault signature knowledge base including all station terminals in station and its
Corresponding health parameters value and service record information;Wherein, the station for the station where the station terminal and/or with
Multiple stations of station networking;For example, in the present embodiment, the station can be the station on the entire route of vehicle operation
Or the station on entire urban track traffic route.
In the present embodiment, extract first and the current health parameter value is included in the fault signature knowledge base pre-established
The control health parameters value of preset threshold range and the corresponding fault message of each control health parameters value, will extract
The each control health parameters value gone out and corresponding fault message are calculated by default algorithm, obtain failure risk
Distribution list.Wherein, the control for the preset threshold range that the failure risk distribution list contains current health parameter value is good for
Fault message corresponding to health parameter value, the fault message include the general of failure item number, fault type and each fault type
Rate.
The current failure risk state of the station terminal, the failure risk can obtain by failure risk distribution list
State is then the probability of each fault type included in the fault message.Preferably, the preset threshold range for ±
10%.
But it should be recognized that the preset threshold range is not changeless, it can be according to different health parameters
Value and current operating environment carry out appropriate adjusting, do not do specific restriction herein.
For example, in the present embodiment, setting the preset threshold range of ageing parameter value as ± 10%, Day Trading number corresponds to
Preset threshold range be 15%;And the current ageing parameter value of the station terminal is 30%, Day Trading number is 10,000/day,
It is 27%~33% then to extract ageing parameter value in fault knowledge storehouse, and Day Trading number is corresponding to 0.85~1.15 ten thousand/day
Fault message generates failure risk distribution list.
Assuming that the failure item number of the fault message of above-mentioned failure risk distribution list is 1000, and 1000 failures
The fault type of information is respectively that bank note module moves back coin failure failure, bank note module deposit failure failure and the mistake of coin module small change
Lose failure.Wherein, 700 are moved back coin failure failure for bank note module, and 200 are bank note module deposit failure failure, and 100 are hard
Coin module small change failure failure.It is 30% to be calculated as a result, according to default algorithm in ageing parameter value, and Day Trading number is
Under the health parameters value in 10000/day, the current failure risk state of the station terminal occurs bank note module and moves back coin failure event
The probability of barrier is 70%, and the probability that bank note module deposit failure failure occurs is 20%, and coin module small change failure failure occurs
Probability be 10%.
S103, when the fault type occur probability reach default fault pre-alarming threshold value when, send fault pre-alarming letter
Number.
In the present embodiment, the fault pre-alarming threshold value can also be set according to the running environment at station, such as institute
Stating fault pre-alarming threshold value can be negatively correlated with the volume of the flow of passengers at the station where the station terminal within a predetermined range, i.e., in passenger flow
When measuring larger, the value of the fault pre-alarming threshold value is relatively low, and when the volume of the flow of passengers is smaller, the corresponding event
The value for hindering threshold value of warning is then relatively large;For example, above-mentioned preset range is 80%-90%, according to the running environment at station not
Together, the fault pre-alarming threshold value can be set as 80%, can also be set as 90%, the embodiment of the present invention is not especially limited.
In conclusion a kind of station terminal failure risk method for early warning provided in an embodiment of the present invention, advance by extracting
The control health parameters value of the preset threshold range of the current health parameter value included in the fault signature knowledge base of foundation
And the corresponding fault message of each control health parameters value, the current failure risk shape of the station terminal is calculated
State, the failure risk state include the probability that fault type and the fault type occur, and occur when the fault type
When probability reaches default threshold value of warning, issue warning signal.The station terminal failure risk method for early warning is realized to latent
The purpose of early warning is carried out in failure risk occurred frequently.
It is of the invention for a kind of station terminal failure risk method for early warning that second embodiment of the invention provides referring to Fig. 2
Second embodiment adds following steps on the basis of first embodiment:
S204, the failure development law according to the station terminal precalculated calculate the fault type default
The remaining time occurred under probability;Wherein, fault type of the failure development law in the fault signature knowledge base
And corresponding control health parameters the Fitting Calculation obtains.
S205, when the remaining time reach default time threshold value of warning when, send time pre-warning signal.
In the present embodiment, the remaining time that the fault type occurs under predetermined probabilities can be predicted, convenient for advance
Plan maintenance scheme, improve the timeliness of troubleshooting.Preferably, the predetermined probabilities are more than or equal to 90%.
It is of the invention for a kind of station terminal failure risk method for early warning that third embodiment of the invention provides referring to Fig. 3
3rd embodiment adds following steps on the basis of first embodiment:
The currently available Maintenance Resource information in S306, detection station extracts the history maintenance record at the station;Wherein,
Station of the station where the station terminal and/or multiple stations with station networking.
For example, in the present embodiment, the station can be station or entire city rail on the entire route of vehicle operation
Station on road traffic route.
S307, repaired and remembered according to the fault pre-alarming signal, the fault type, the time pre-warning signal and history
Record with reference to the currently available Maintenance Resource information in station, generates maintenance decision information.
S308, the maintenance decision information of generation is exported.
In the present embodiment, the Maintenance Resource information includes the spare part of the modules of the station terminal at all stations
Number, but not limited to this;The maintenance decision information includes increasing manual service, carry out passenger flow limitation and distributing maintenance mans, dimension
Repair at least one of method information.
For example, the probability of malfunction of the current bank note module of the station terminal is 80%, but detect the station terminal
The spare part number of the bank note module at the station at place is 0, and the spare part number of the bank note module at adjacent station is 2, then maintenance decision
Then suggest distributing maintenance mans in information and suggest that maintenance personal gets the spare part of bank note module to the station from adjacent station
Carry out corresponding maintenance work in station where terminal.
In the present embodiment, the maintenance decision information of generation is exported, specifically includes and send maintenance decision information
To maintenance personnel or failure risk monitor supervision platform, the embodiment of the present invention does not limit specifically.The present embodiment is according to the failure
Pre-warning signal, the fault type, the time pre-warning signal and maintenance record, with reference to the current available Maintenance Resource in station,
Generation maintenance decision information is simultaneously sent to maintenance personnel or failure risk monitor supervision platform so that maintenance personnel can determine according to repair
Plan information is rapidly reasonably handled failure, substantially increases the efficiency of troubleshooting.
It is of the invention for a kind of station terminal failure risk method for early warning that fourth embodiment of the invention provides referring to Fig. 4
Fourth embodiment adds following steps on the basis of first embodiment:
S409, when receiving the station terminal out of order signal, the failure is occurred into for the station terminal
Fault type and its corresponding health parameters value be added in the fault signature knowledge base.
In the present embodiment, the station terminal out of order signal can obtain (example by the method for first embodiment
Such as when the probability that the fault type occurs reaches 100%) can also be that detection obtains in other way, at this to institute
The acquisition modes for stating station terminal out of order signal do not do specific restriction.
In the present embodiment, the fault message of generation is added in fault signature knowledge base, further improves failure spy
Levy knowledge base.It is a kind of knot for station terminal failure risk prior-warning device 500 that fifth embodiment of the invention provides referring to Fig. 5
Structure schematic diagram, including:
Data acquisition module 510, for obtaining the current operating data of station terminal, the current operating data includes working as
Preceding health parameters value;
Failure risk computing module 520, for extracting in the fault signature knowledge base pre-established comprising described current strong
The control health parameters value of the preset threshold range of health parameter value and the corresponding fault message of the control health parameters value, will
The control health parameters value extracted and corresponding fault message are calculated by default algorithm, obtain the station
The current failure risk state of terminal;The failure risk state includes the probability that fault type and the fault type occur;
Failure risk warning module 530 reaches default fault pre-alarming threshold for working as the probability that the fault type occurs
During value, fault pre-alarming signal is sent.
In the present embodiment, the health parameters value is and the relevant series of parameters of the working life of the station terminal
Value, for example, in the present embodiment, the health parameters value includes characterizing the old of the degree of aging of the station terminal modules
Change parameter value and characterize the operating parameter values of the day loss of the station terminal modules.Wherein, the ageing parameter value is
Refer to the current run time of the station terminal modules and the ratio of design and operation time or the station terminal modules
Current transaction count with design transaction count ratio;The operating parameter values are the Day Trading of the station terminal modules
Number.By taking ageing parameter value as an example, it is assumed that the processing that the design transaction count of bank note module passes in and out for 1,000,000 bank note, currently
Add up to perform 500,000 bank note disengaging processing, then the ageing parameter value of the bank note module is 50%.
In the present embodiment, the station terminal current operating data further includes the register data of modules, transaction
Data and journal file etc..
In the present embodiment, the fault signature knowledge base is that the operation monitoring data of the station terminal based on station combines
Station maintenance record is extracted by magnanimity analysis and core content, is built a set of of formation and is provided fault pre-alarming and decision-making refers to
Draw the Heuristics platform of foundation.Wherein, the operation monitoring data includes the station terminal modules state, register
Data, transaction data and running log, but not limited to this.
It should be noted that the historical failure information of the fault signature knowledge base including all station terminals in station and its
Corresponding health parameters value and service record information;Wherein, the station for the station where the station terminal and/or with
Multiple stations of station networking;For example, in the present embodiment, the station for the station on the entire route of vehicle operation or
Station on entire urban track traffic route.
In the present embodiment, the preset threshold range is not changeless, can be according to different health parameters values
Appropriate adjusting is carried out with current operating environment, does not do specific restriction herein.The fault pre-alarming threshold value can also be according to vehicle
The running environment stood is set, for example, the fault pre-alarming threshold value can within a predetermined range with the station terminal where vehicle
The volume of the flow of passengers stood is negatively correlated, i.e., when the volume of the flow of passengers is larger, the value of the fault pre-alarming threshold value is relatively low, and in visitor
When flow is smaller, the value of the corresponding fault pre-alarming threshold value is then relatively large;For example, above-mentioned preset range is
80%-90%, different according to the running environment at station, the fault pre-alarming threshold value can be set as 80%, can also be set as
90%, the embodiment of the present invention is not specifically limited.
Preferably, the station terminal failure risk prior-warning device further includes:
Fault time computing module for the failure development law according to the station terminal precalculated, calculates institute
State the remaining time that fault type occurs under predetermined probabilities;Wherein, the failure development law is known according to the fault signature
Know the fault type in storehouse and corresponding control health parameters the Fitting Calculation obtains.
Fault time warning module, for when the remaining time reaching default time threshold value of warning, sending the time
Pre-warning signal.
Preferably, the station terminal failure risk prior-warning device further includes:
Maintenance Resource detection module for detecting the currently available Maintenance Resource information in station, extracts going through for the station
History maintenance record;Wherein, station of the station where the station terminal and/or multiple stations with station networking.
Maintenance decision generation module, for being believed according to the fault pre-alarming signal, the fault type, the time early warning
Number and history maintenance record, with reference to the currently available Maintenance Resource information in station, generate maintenance decision information.
Maintenance decision notification module, for the maintenance decision information output that will be generated.
In the present embodiment, the station can be station or the entire urban track traffic on the entire route of vehicle operation
Station on route.
In the present embodiment, the Maintenance Resource information includes the spare part of the modules of the station terminal at all stations
Number, but not limited to this;The maintenance decision information includes increasing manual service, carry out passenger flow limitation and distributing maintenance mans, dimension
Repair at least one of method information.
In the present embodiment, the maintenance decision information of generation is exported, including the maintenance decision information is sent
It is not especially limited to maintenance personnel or failure risk detection platform, the embodiment of the present invention.
Preferably, the station terminal failure risk prior-warning device further includes:
Knowledge base update module, it is for when receiving the station terminal out of order signal, the station is whole
The fault type of the failure occurs for end and its corresponding health parameters value is added in the fault signature knowledge base.
In the present embodiment, the station terminal out of order signal can obtain (example by the method for first embodiment
Such as when the probability that the fault type occurs reaches 100%) can also be that detection obtains in other way, at this to institute
The acquisition modes for stating station terminal out of order signal do not do specific restriction.
In the present embodiment, the fault message of generation is added in fault signature knowledge base, further improves failure spy
Levy knowledge base.
Station terminal failure risk prior-warning device disclosed by the embodiments of the present invention obtains station end by data acquisition module
The current operating data at end;The current failure risk state of the station terminal is calculated by failure risk computing module,
The failure risk state includes the probability that fault type and the fault type occur;Then failure risk warning module is passed through
To reaching the failure risk of default threshold value of warning, issue warning signal, realize the potential failure wind occurred frequently to station terminal
Danger carries out the purpose of early warning.
The remaining time further occurred by the fault time computing module calculating fault type under predetermined probabilities,
Convenient for planning maintenance scheme in advance, the timeliness of troubleshooting is improved.
The currently available Maintenance Resource information in station is further detected by Maintenance Resource detection module, extracts the station
History maintenance record, by maintenance decision generation module generate maintenance decision information, and pass through maintenance decision notification module will
Maintenance decision information is sent to maintenance personnel or failure risk detection platform so that maintenance personnel can be rapid according to maintenance decision
Reasonably failure is handled, substantially increases the efficiency of troubleshooting.
Sixth embodiment of the invention provides a kind of terminal, and the terminal includes processor, memory and is stored in institute
It states in memory and is configured as the computer program performed by the processor, the processor performs the computer program
Station terminal failure risk method for early warning described in the above-mentioned any one embodiments of Shi Shixian.
Seventh embodiment of the invention provides a kind of storage medium, and the storage medium includes the computer program of storage,
Wherein, equipment where controlling the storage medium when the computer program is run performs the vehicle described in above-mentioned any embodiment
It stands terminal fault method for prewarning risk.
Illustratively, in the 6th and the 7th embodiment, the computer program can be divided into one or more modules/
Unit, one or more of module/units are stored in the memory, and are performed by the processor, to complete
The present invention.One or more of module/units can be the series of computation machine program instruction section that can complete specific function,
The instruction segment is used to describe implementation procedure of the computer program in the terminal.
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng the processor is the control centre of the terminal, utilizes various interfaces and the various pieces of the entire terminal of connection.
The memory can be used for storing the computer program and/or module, and the processor is by running or performing
The computer program and/or module that are stored in the memory and the data being stored in memory are called, described in realization
The various functions of terminal device.The memory can mainly include storing program area and storage data field, wherein, storing program area
It can storage program area, application program (such as sound-playing function, image player function etc.) needed at least one function etc.;
Storage data field can be stored uses created data (such as voice data, phone directory etc.) etc. according to mobile phone.In addition, storage
Device can include high-speed random access memory, can also be hard including nonvolatile memory, such as hard disk, memory, plug-in type
Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card), at least one disk memory, flush memory device or other volatile solid-state parts.
Wherein, if module/unit that the terminal integrates is realized and is independent in the form of SFU software functional unit
Production marketing in use, can be stored in a computer read/write memory medium.Based on such understanding, the present invention is real
All or part of flow in existing above-described embodiment method, can also instruct relevant hardware come complete by computer program
Into the computer program can be stored in a computer readable storage medium, which is being executed by processor
When, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer program code, described
Computer program code can be source code form, object identification code form, executable file or some intermediate forms etc..The meter
Calculation machine readable medium can include:Can carry the computer program code any entity or device, recording medium, USB flash disk,
Mobile hard disk, magnetic disc, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory
Device (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..Need what is illustrated
It is that the content that the computer-readable medium includes can be fitted according to legislation in jurisdiction and the requirement of patent practice
When increase and decrease, such as in some jurisdictions, according to legislation and patent practice, computer-readable medium, which does not include electric carrier wave, to be believed
Number and telecommunication signal.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separating component
The unit of explanation may or may not be physically separate, and the component shown as unit can be or can also
It is not physical location, you can be located at a place or can also be distributed in multiple network element.It can be according to reality
It needs that some or all of module therein is selected to realize the purpose of this embodiment scheme.In addition, device provided by the invention
In embodiment attached drawing, the connection relation between module represents there is communication connection between them, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, you can to understand
And implement.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (14)
1. a kind of station terminal failure risk method for early warning, which is characterized in that including:
The current operating data of station terminal is obtained, the current operating data includes current health parameter value;
Extract the control of the preset threshold range comprising the current health parameter value in the fault signature knowledge base pre-established
Health parameters value and the corresponding fault message of the control health parameters value, by the control health parameters value extracted and
Corresponding fault message is calculated by default algorithm, obtains the current failure risk state of the station terminal;It is described
Failure risk state includes the probability that fault type and the fault type occur;
When the probability that the fault type occurs reaches default fault pre-alarming threshold value, fault pre-alarming signal is sent.
2. station terminal failure risk method for early warning according to claim 1, it is characterised in that:
The fault pre-alarming threshold value is negatively correlated with the volume of the flow of passengers at the station where the station terminal within a predetermined range.
3. station terminal failure risk method for early warning according to claim 1, which is characterized in that further include:
According to the failure development law of the station terminal precalculated, calculate the fault type and occur under predetermined probabilities
Remaining time;Wherein, fault type of the failure development law in the fault signature knowledge base and corresponding right
It is obtained according to health parameters the Fitting Calculation;
When the remaining time reaching default time threshold value of warning, time pre-warning signal is sent.
4. station terminal failure risk method for early warning according to claim 1, which is characterized in that further comprise:
The currently available Maintenance Resource information in station is detected, extracts the history maintenance record of the station terminal at the station;
Wherein, station of the station where the station terminal and/or multiple stations with station networking;
According to the pre-warning signal, the fault type and history maintenance record, with reference to the currently available Maintenance Resource in station
Information generates maintenance decision information;
The maintenance decision information of generation is exported.
5. station terminal failure risk method for early warning according to claim 4, which is characterized in that the maintenance decision information
Including increasing manual service, carrying out passenger flow limitation and distributing at least one of maintenance mans, method for maintaining information.
6. station terminal failure risk method for early warning according to claim 1, which is characterized in that further include:
When receiving the station terminal out of order signal, the station terminal to that the fault type of the failure occur
And its corresponding health parameters value is added in the fault signature knowledge base.
7. station terminal failure risk method for early warning according to any one of claims 1 to 6, it is characterised in that:It is described strong
Health parameter value includes following one or more:
Characterize the ageing parameter value of the degree of aging of the station terminal modules;
Characterize the operating parameter values of the day loss of the station terminal modules.
8. station terminal failure risk method for early warning according to claim 7, it is characterised in that:
The ageing parameter value is the current run time of the station terminal modules and the ratio of design and operation time or institute
State the ratio of the current transaction count and design transaction count of station terminal modules;And/or the operating parameter values are described
The Day Trading number of station terminal modules.
9. a kind of station terminal failure risk prior-warning device, which is characterized in that including:
Data acquisition module, for obtaining the current operating data of station terminal, the current operating data includes current health
Parameter value;
Failure risk computing module, for extracting in the fault signature knowledge base pre-established comprising the current health parameter value
The control health parameters value of preset threshold range and the corresponding fault message of the control health parameters value, by what is extracted
The control health parameters value and corresponding fault message are calculated by default algorithm, and it is current to obtain the station terminal
Failure risk state;The failure risk state includes the probability that fault type and the fault type occur;
Failure risk warning module, when the probability for occurring when the fault type reaches default fault pre-alarming threshold value, hair
Be out of order pre-warning signal.
10. station terminal failure risk prior-warning device according to claim 9, which is characterized in that further include:
Fault time computing module for the failure development law according to the station terminal precalculated, calculates the event
The remaining time that barrier type occurs under predetermined probabilities;Wherein, the failure development law is according to the fault signature knowledge
Fault type and corresponding control health parameters the Fitting Calculation in storehouse obtain;
Fault time warning module, for when the remaining time reaching default time threshold value of warning, sending time early warning
Signal.
11. station terminal failure risk prior-warning device according to claim 9, which is characterized in that further include:
Maintenance Resource detection module for detecting the currently available Maintenance Resource information in station, extracts the history dimension at the station
Repair record;Wherein, station of the station where the station terminal and/or the vehicle with multiple stations of station networking
It stands;
Maintenance decision generation module, for according to the fault pre-alarming signal, the fault type, the time pre-warning signal with
And history maintenance record, with reference to the currently available Maintenance Resource information in station, generate maintenance decision information;
Maintenance decision notification module, for the maintenance decision information output that will be generated.
12. station terminal failure risk prior-warning device according to claim 9, which is characterized in that further include:
Knowledge base update module, for when receiving the station terminal out of order signal, the station terminal to be sent out
The fault type of the raw failure and its corresponding health parameters value are added in the fault signature knowledge base.
13. a kind of terminal, including processor, memory and it is stored in the memory and is configured as by the processor
The computer program of execution, the processor are realized when performing the computer program such as any one institute in claim 1 to 8
The station terminal failure risk method for early warning stated.
14. a kind of storage medium, which is characterized in that the storage medium includes the computer program of storage, wherein, in the meter
Equipment performs station as claimed in any of claims 1 to 8 in one of claims calculation machine program controls the storage medium when running where
Terminal fault method for prewarning risk.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711380803.4A CN108062088B (en) | 2017-12-15 | 2017-12-15 | Station terminal failure risk method for early warning, device, terminal and storage medium |
PCT/CN2018/099001 WO2019114288A1 (en) | 2017-12-15 | 2018-08-06 | Warning method, device, and terminal for failure risk of station terminal, and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711380803.4A CN108062088B (en) | 2017-12-15 | 2017-12-15 | Station terminal failure risk method for early warning, device, terminal and storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108062088A true CN108062088A (en) | 2018-05-22 |
CN108062088B CN108062088B (en) | 2019-11-19 |
Family
ID=62139746
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711380803.4A Active CN108062088B (en) | 2017-12-15 | 2017-12-15 | Station terminal failure risk method for early warning, device, terminal and storage medium |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN108062088B (en) |
WO (1) | WO2019114288A1 (en) |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109144027A (en) * | 2018-07-13 | 2019-01-04 | 深圳华侨城文化旅游科技股份有限公司 | A kind of fault early warning method of amusement facility, storage medium and application server |
CN109189051A (en) * | 2018-10-29 | 2019-01-11 | 江苏罗思韦尔电气有限公司 | A kind of failed storage and processing method based on T-Box |
CN109358603A (en) * | 2018-10-30 | 2019-02-19 | 日立楼宇技术(广州)有限公司 | Failure report method, system, equipment and the storage medium of on-vehicle positioning terminal |
WO2019114288A1 (en) * | 2017-12-15 | 2019-06-20 | 广州广电运通金融电子股份有限公司 | Warning method, device, and terminal for failure risk of station terminal, and storage medium |
CN110189019A (en) * | 2019-05-29 | 2019-08-30 | 中国民用航空总局第二研究所 | Airport Internet of things node equipment working state dynamic early-warning method and system |
CN110390404A (en) * | 2019-07-12 | 2019-10-29 | 杭州培慕科技有限公司 | A kind of RCM in knowledge based library and data management |
CN110808864A (en) * | 2019-11-12 | 2020-02-18 | 国家电网有限公司 | Communication early warning method, device and system |
CN110831310A (en) * | 2019-10-31 | 2020-02-21 | 新鸿电子有限公司 | X-ray source cathode detection method, detection system and X-ray imaging system |
CN111447106A (en) * | 2020-03-18 | 2020-07-24 | 深圳市普威技术有限公司 | Fault detection method, device, storage medium and communication equipment |
CN112537559A (en) * | 2019-09-20 | 2021-03-23 | 中国石油化工股份有限公司 | Oil gas monitoring method and system for oil depot |
CN112734138A (en) * | 2021-01-27 | 2021-04-30 | 珠海格力电器股份有限公司 | Fault early warning method, device, equipment and storage medium |
CN112987696A (en) * | 2021-03-15 | 2021-06-18 | 国家电网有限公司 | Regional power distribution network equipment management platform and operation method thereof |
CN114267178A (en) * | 2021-12-30 | 2022-04-01 | 佳都科技集团股份有限公司 | Intelligent operation maintenance method and device for station |
CN116362452A (en) * | 2023-03-15 | 2023-06-30 | 东莞先知大数据有限公司 | Grinder fault early warning method, grinder fault early warning device and storage medium |
CN116366477A (en) * | 2023-05-30 | 2023-06-30 | 中车工业研究院(青岛)有限公司 | Train network communication signal detection method, device, equipment and storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101950382A (en) * | 2010-09-01 | 2011-01-19 | 燕山大学 | Method for optimal maintenance decision-making of hydraulic equipment with risk control |
CN201898519U (en) * | 2010-09-01 | 2011-07-13 | 燕山大学 | Equipment maintenance early-warning device with risk control |
CN106384154A (en) * | 2016-08-18 | 2017-02-08 | 广州市迪士普音响科技有限公司 | Self-checking and fault self-processing method and system of intelligent platform |
CN107168278A (en) * | 2017-04-25 | 2017-09-15 | 广州地铁集团有限公司 | The automatic maintenance of subway train signal system and early warning system |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004013208A (en) * | 2002-06-03 | 2004-01-15 | Matsushita Electric Ind Co Ltd | Remote maintenance system of automatic toll collection device |
JP2008009764A (en) * | 2006-06-29 | 2008-01-17 | Ricoh Co Ltd | Electronic toll collection system |
CN202939769U (en) * | 2012-12-16 | 2013-05-15 | 四川久远新方向智能科技有限公司 | Rail-transit automatic fare collection (AFC) system equipment operation fault alarm system |
CN104778821B (en) * | 2015-04-09 | 2017-04-26 | 银江股份有限公司 | Automatic alarm system and method for transportation equipment |
CN107433962B (en) * | 2016-06-18 | 2023-05-05 | 西藏谦诚信息科技有限公司 | Method and system for track traffic fault monitoring and intelligent early warning |
CN106209432B (en) * | 2016-06-30 | 2019-04-19 | 中国人民解放军国防科学技术大学 | Network equipment inferior health method for early warning and device based on dynamic threshold |
CN108062088B (en) * | 2017-12-15 | 2019-11-19 | 广州广电运通金融电子股份有限公司 | Station terminal failure risk method for early warning, device, terminal and storage medium |
-
2017
- 2017-12-15 CN CN201711380803.4A patent/CN108062088B/en active Active
-
2018
- 2018-08-06 WO PCT/CN2018/099001 patent/WO2019114288A1/en active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101950382A (en) * | 2010-09-01 | 2011-01-19 | 燕山大学 | Method for optimal maintenance decision-making of hydraulic equipment with risk control |
CN201898519U (en) * | 2010-09-01 | 2011-07-13 | 燕山大学 | Equipment maintenance early-warning device with risk control |
CN106384154A (en) * | 2016-08-18 | 2017-02-08 | 广州市迪士普音响科技有限公司 | Self-checking and fault self-processing method and system of intelligent platform |
CN107168278A (en) * | 2017-04-25 | 2017-09-15 | 广州地铁集团有限公司 | The automatic maintenance of subway train signal system and early warning system |
Non-Patent Citations (2)
Title |
---|
王 成,史天运: "基于大数据分析的铁路自动售检票监控系统研究", 《铁路计算机应用》 * |
胡超芬,董源,董方武: ""地铁自动售检票系统设备故障数据分析与维修策略"", 《城市轨道交通研究》 * |
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019114288A1 (en) * | 2017-12-15 | 2019-06-20 | 广州广电运通金融电子股份有限公司 | Warning method, device, and terminal for failure risk of station terminal, and storage medium |
CN109144027A (en) * | 2018-07-13 | 2019-01-04 | 深圳华侨城文化旅游科技股份有限公司 | A kind of fault early warning method of amusement facility, storage medium and application server |
CN109189051A (en) * | 2018-10-29 | 2019-01-11 | 江苏罗思韦尔电气有限公司 | A kind of failed storage and processing method based on T-Box |
CN109358603A (en) * | 2018-10-30 | 2019-02-19 | 日立楼宇技术(广州)有限公司 | Failure report method, system, equipment and the storage medium of on-vehicle positioning terminal |
CN110189019A (en) * | 2019-05-29 | 2019-08-30 | 中国民用航空总局第二研究所 | Airport Internet of things node equipment working state dynamic early-warning method and system |
CN110390404A (en) * | 2019-07-12 | 2019-10-29 | 杭州培慕科技有限公司 | A kind of RCM in knowledge based library and data management |
CN112537559A (en) * | 2019-09-20 | 2021-03-23 | 中国石油化工股份有限公司 | Oil gas monitoring method and system for oil depot |
CN110831310A (en) * | 2019-10-31 | 2020-02-21 | 新鸿电子有限公司 | X-ray source cathode detection method, detection system and X-ray imaging system |
CN110808864A (en) * | 2019-11-12 | 2020-02-18 | 国家电网有限公司 | Communication early warning method, device and system |
CN111447106A (en) * | 2020-03-18 | 2020-07-24 | 深圳市普威技术有限公司 | Fault detection method, device, storage medium and communication equipment |
CN112734138A (en) * | 2021-01-27 | 2021-04-30 | 珠海格力电器股份有限公司 | Fault early warning method, device, equipment and storage medium |
CN112987696A (en) * | 2021-03-15 | 2021-06-18 | 国家电网有限公司 | Regional power distribution network equipment management platform and operation method thereof |
CN114267178A (en) * | 2021-12-30 | 2022-04-01 | 佳都科技集团股份有限公司 | Intelligent operation maintenance method and device for station |
CN114267178B (en) * | 2021-12-30 | 2023-09-26 | 佳都科技集团股份有限公司 | Intelligent operation maintenance method and device for station |
CN116362452A (en) * | 2023-03-15 | 2023-06-30 | 东莞先知大数据有限公司 | Grinder fault early warning method, grinder fault early warning device and storage medium |
CN116362452B (en) * | 2023-03-15 | 2023-09-12 | 东莞先知大数据有限公司 | Grinder fault early warning method, grinder fault early warning device and storage medium |
CN116366477A (en) * | 2023-05-30 | 2023-06-30 | 中车工业研究院(青岛)有限公司 | Train network communication signal detection method, device, equipment and storage medium |
CN116366477B (en) * | 2023-05-30 | 2023-08-18 | 中车工业研究院(青岛)有限公司 | Train network communication signal detection method, device, equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN108062088B (en) | 2019-11-19 |
WO2019114288A1 (en) | 2019-06-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108062088B (en) | Station terminal failure risk method for early warning, device, terminal and storage medium | |
CN108683732A (en) | A kind of failure management method of shared bicycle | |
CN108156231A (en) | The fault car and method of server communication, vehicle and server | |
CN107679576A (en) | The fault monitoring method and device of vehicle | |
CN108881267A (en) | Vehicle abnormality detection method, car-mounted terminal, server and storage medium | |
CN110171757A (en) | Elevator maintenance system based on the support of Internet of Things big data | |
US20220305934A1 (en) | Charging station monitoring method and device | |
CN107958456A (en) | Dispensing detection method, device and electronic equipment | |
CN108108825A (en) | Finding method, server and the O&M end of fault car | |
CN109655107A (en) | Air quality monitoring method, device, vehicle and computer readable storage medium | |
CN105184084A (en) | Fault type predicting method and system for automatic electric power measurement terminals | |
CN110162445A (en) | The host health assessment method and device of Intrusion Detection based on host log and performance indicator | |
CN102663895A (en) | Container truck jamming prompting system and realizing method thereof for container terminals | |
CN109450089B (en) | Transformer area low voltage identification method and device and terminal equipment | |
CN103227662A (en) | Safety detection method and system of electric power communication equipment based on state control | |
CN107609948A (en) | The detection method and its system of risk order, storage medium, electronic equipment | |
CN101807314B (en) | Method for processing embedded vehicle working condition hybrid heterogeneous data information in real time | |
CN110723166A (en) | Turnout monitoring method and system | |
CN109687426A (en) | Failure rate parameter modeling method, device, equipment and storage medium | |
CN106383286A (en) | Electric power line fault alarm device | |
CN108053332A (en) | A kind of fault-tree auto-synthesis method and system based on configuration file | |
CN111402106A (en) | Device management method, device, system and storage medium | |
CN111798162A (en) | Risk monitoring method and device based on neural network | |
CN108810850A (en) | Vehicle mounted failure broadcasting system, method, equipment and storage medium | |
CN114841712B (en) | Method and device for determining illegal operation state of network appointment vehicle tour and electronic equipment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |