CN108805359A - A kind of failure pre-judging method and device - Google Patents
A kind of failure pre-judging method and device Download PDFInfo
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- CN108805359A CN108805359A CN201810621519.XA CN201810621519A CN108805359A CN 108805359 A CN108805359 A CN 108805359A CN 201810621519 A CN201810621519 A CN 201810621519A CN 108805359 A CN108805359 A CN 108805359A
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Abstract
The present invention relates to distributed busbar protection troubleshooting technical fields, a kind of failure pre-judging method and device are disclosed, which includes multiple indexs of the multiple measuring instruments detection reflection distributed busbar protection by being arranged in distributed busbar protection in the operation conditions of corresponding position;Acquire the Real-time Monitoring Data of multiple indexs;Store the history detection data of multiple indexs;The Real-time Monitoring Data of each index is compared with corresponding history detection data, if the Real-time Monitoring Data of index is in except the normal range (NR) of corresponding history detection data, judge index occurs abnormal;For there is abnormal index, according to the exception information of the index of setting and may caused by correspondence between failure, determine may finally caused by fault message;The fault message determined is exported.The failure pre-judging method has been ensured energy supply safety, has been avoided unnecessary loss using the management mode for actively discovering security risk, quick diagnosis failure and efficient process.
Description
Technical field
The present invention relates to distributed busbar protection troubleshooting technical field more particularly to a kind of failure pre-judging methods and dress
It sets.
Background technology
As a kind of energy supply mode established in workload demand side, the target of distributed energy is to realize using energy source
With the maximization of environmental benefit, and the systematically various energy resources demand and status of resource allocation of integrated optimization user, passing through needs
Seek the novel energy system of reply formula design and modular arrangements.
The operation mode of distributed busbar protection is typically after the failure occurs that operation personnel passively carries out failure at present
Positioning and repair.Operation personnel records the monitoring data of report and system log by analysis, according to the system formulated in advance
Operational support rule, strategy and dependence model and business experience etc. carry out the reason of failure judgement occurs and are repaired, in this way,
There are larger hysteresis qualitys in the processing procedure of failure, also, may be to energy source station due to not finding and solving failure in time
Bring inevitable loss.
Invention content
A kind of failure pre-judging method of present invention offer and device avoid corresponding to have found that it is likely that the failure of appearance in advance
Loss.
An embodiment of the present invention provides a kind of failure pre-judging method, this method includes:
Reflect the distributed busbar protection in correspondence by the multiple measuring instruments detection being arranged in distributed busbar protection
Multiple indexs of the operation conditions of position;
Acquire the Real-time Monitoring Data of the multiple index;
Store the history detection data of the multiple index;
The Real-time Monitoring Data of each index is compared with corresponding history detection data, if the index is real-time
Monitoring data are in except the normal range (NR) of corresponding history detection data, then it is abnormal to judge that the index occurs;
For there is abnormal index, according to corresponding between the exception information of the index of setting and failure caused by possibility
Relationship, determining may finally caused fault message;
The fault message determined is exported.
In above-described embodiment, first, by the way that the Real-time Monitoring Data of each index is compared with history detection data,
To judge exception occurs in which index in distributed busbar protection;Secondly, analyze the exception informations of these indexs and failure it
Between relevance and dependence, the failure that may occur to prediction distribution formula energy source station;Finally, by taking corresponding pre- place
Reason scheme it is possible to prevente effectively from failure generation, ensured energy supply safety, avoid unnecessary loss.
In a specific embodiment, for there is abnormal index, according to the exception information of the index of setting with can
Correspondence between failure caused by energy determines eventually possible caused fault message, specifically includes:
For there is abnormal index, according to corresponding between the exception information of the index of setting and failure caused by possibility
Relationship, the set of failure caused by the acquisition index for exception occur is possible, and the collection of the failure is combined into and may finally lead
The fault message of cause.After exception occurs in which index in judging distributed busbar protection, by analyzing between these indexs not
Correspondence between combination together and failure, to directly judge failure caused by possibility.
In another specific embodiment, for there is abnormal index, according to the exception information of the index of setting with
Correspondence between failure caused by possible determines eventually possible caused fault message, specifically includes:
There is abnormal index for each, according between failure caused by the exception information of the index of setting and possibility
Correspondence, the set of failure caused by acquisition each index for exception occur is possible;
For each failure in the set, according to corresponding between the failure of setting and the index that exception may be caused
Relationship obtains the set for being likely to occur abnormal index when the fault occurs;
For each index in the set, by the Real-time Monitoring Data of the index and corresponding history detection data
It is compared, judges whether the index occurs abnormal or abnormal probability occur, and judge that corresponding failure is sent out according to result
Raw probability;
The probability for judging each failure in the set, may when the failure of maximum probability is determined as the Indexes Abnormality
Caused fault message.In the embodiment, determined point because of relationship by causality between analysis indexes and failure and fruit
The failure that cloth energy source station may occur improves calculating speed and accuracy.
In latter embodiment, there is abnormal index for each, when according to the exception information of the index of setting with
Further include output when correspondence between failure caused by possibility is not matched to failure caused by the Indexes Abnormality possibility
The location information of the exception information of the index and the corresponding measuring instrument of the index.In this way, maintenance person can be according to this
Information check distributed busbar protection a bit, and according to the above-mentioned computation model of inspection result renolation.
When specific setting, for there is abnormal index, according to the exception information of the index of setting with may caused by therefore
Correspondence between barrier, determine may finally caused by after fault message, further include:
The failure and corresponding solution that may be occurred according to the distributed busbar protection of storage are obtained and are predicted
The distributed busbar protection by the corresponding solution of the failure of generation.Allow in this way according to the solution obtained
Some relevant pretreatments are carried out, the generation of failure is effectively prevented.
When specific setting, it is specially by the fault message determined output:By the transmitting fault information determined to intelligence
Change control device or the mobile terminal of maintenance person.It is automatically performed the pretreatment of failure by Intellectualized monitoring equipment, or passes through dimension
Shield person completes the pretreatment of failure, also, in order to further improve the program, is giving the transmitting fault information determined to intelligence
Change monitoring device, and when Intellectualized monitoring equipment can not complete the pretreatment of failure, at this point it is possible to again by transmitting fault information
Onto the mobile terminal of maintenance person.
After exporting the fault message determined, further include:
Monitoring occurs whether abnormal index restores normal, abnormal when not excluding after being pre-processed to failure, then root
Correspondence between failure caused by exception information and possibility according to the index of setting redefines may finally caused event
Hinder information.Occur whether abnormal index restores normal by monitoring these, to judge the accuracy for the failure predicted, further
Perfect this method model.
Alternatively, being specially by the fault message determined output:Give the transmitting fault information determined to professional technique people
Member.In this way, guidance can be made to the solution etc. of failure by professional technician, improve work efficiency and quality.
The embodiment of the present invention additionally provides a kind of failure anticipation device, which includes being set in distributed busbar protection
Multiple measuring instruments are also wrapped for detecting the multiple indexs for reflecting operation conditions of the distributed busbar protection in corresponding position
It includes:
Data acquisition module, the Real-time Monitoring Data for acquiring the multiple index;
Data memory module, the history detection data for storing the multiple index;
Computation analysis module, for comparing the Real-time Monitoring Data of each index with corresponding history detection data
It is right, if the Real-time Monitoring Data of the index is in except the normal range (NR) of corresponding history detection data, judge the finger
Mark existing exception;According to the rule of setting, predict the distributed busbar protection by the failure of generation for the index for occurring abnormal;
Information transmission modular predicts the fault message obtained for exporting the computation analysis module.
In above-described embodiment, first by the way that the Real-time Monitoring Data of each index to be compared with history detection data,
It is secondly, abnormal for these appearance according to the rule of setting to judge exception occurs in which index in distributed busbar protection
Index predict failure of the distributed busbar protection by generation, finally, by taking corresponding pretreating scheme that can effectively keep away
The generation for exempting from failure has ensured energy supply safety, has avoided unnecessary loss.
In a kind of specific embodiment, the computation analysis module, according to such as under type for the index for exception occur
Predict the distributed busbar protection by the failure of generation:
For there is abnormal index, according to corresponding between the exception information of the index of setting and failure caused by possibility
Relationship, obtain it is described occur abnormal index may caused by failure set, and the set of the failure is determined as described
Distributed busbar protection is by the failure of generation.In the embodiment, after there is exception in which index in judging distributed busbar protection,
By analyzing the correspondence between combination and failure different between these indexs, to directly judge may caused by therefore
Barrier.
In another specific embodiment, the computation analysis module, according to such as under type for the finger for exception occur
Mark predicts the distributed busbar protection by the failure of generation:
There is abnormal index for each, according between failure caused by the exception information of the index of setting and possibility
Correspondence obtains the set of failure caused by the Indexes Abnormality possibility;For each failure in the set, according to setting
Correspondence between the failure set and the index that may cause exception, acquisition are likely to occur abnormal when the fault occurs
The set of index;
For each index in the set, by the Real-time Monitoring Data of the index and corresponding history detection data
It is compared, judges whether the index occurs abnormal or abnormal probability occur, and judge that corresponding failure is sent out according to result
Raw probability;
The probability for judging each failure in the set, when the failure of maximum probability is determined as the Indexes Abnormality described in
Distributed busbar protection is by the failure of appearance.In the embodiment, by causality between analysis indexes and failure and fruit because closing
It is to determine failure that distributed busbar protection may occur, improve calculating speed and accuracy.
In latter embodiment, there is abnormal index for each, when according to the exception information of the index of setting with
When correspondence between failure caused by possibility is not matched to failure caused by the Indexes Abnormality possibility, described information passes
Defeated module is additionally operable to export the location information of the exception information of the index and the corresponding measuring instrument of the index.In this way,
Maintenance person can check distributed busbar protection according to these information, and according to the above-mentioned calculating mould of inspection result renolation
Type.
When specific setting, the data memory module is additionally operable to store the failure that the distributed busbar protection may occur
And corresponding solution;
The computation analysis module is additionally operable to the failure of generation according to the distributed busbar protection of prediction from the number
According to obtaining matched solution in memory module.Allow to that carry out some relevant pre- according to the solution obtained in this way
Processing, effectively prevents the generation of failure.
When specific setting, described information transmission module, for the transmitting fault information obtained will to be predicted to intelligentized control method
The mobile terminal of equipment or maintenance person.The pretreatment of failure is automatically performed by Intellectualized monitoring equipment, or complete by maintenance person
At the pretreatment of failure, also, in order to further improve the device, by the transmitting fault information determined to Intellectualized monitoring
Equipment, and when Intellectualized monitoring equipment can not complete the pretreatment of failure, at this point, information transmission modular is additionally operable to fault message
It is transferred on the mobile terminal of maintenance person.
Device is prejudged in order to further improve the failure, further includes:
Monitoring module is run, the operation monitoring module, which is used to export the calculating in described information transmission module, analyzes mould
After the fault message that block prediction obtains, monitoring occurs whether abnormal index restores normal, different after being pre-processed to failure
When often not excluding, is then sent out to the computation analysis module and the distributed busbar protection of prediction is adjusted the failure of appearance
Whole control signal.
Preferably, further include:
Expert module, the expert module are used to store the communications address information of professional technician, described information transmission
Module is additionally operable to according to the communications address information, and the transmitting fault information that computation analysis module prediction is obtained is to profession
Technical staff.In this way, guidance can be made to the solution etc. of failure by professional technician, improve work efficiency and matter
Amount.
Description of the drawings
Fig. 1 is the structure chart that failure provided in an embodiment of the present invention prejudges device;
Fig. 2 is computation analysis module provided in an embodiment of the present invention for the index prediction distribution formula energy source station for exception occur
By the flow chart of the failure of generation;
Fig. 3 is the flow chart of failure pre-judging method provided in an embodiment of the present invention.
Specific implementation mode
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.
An embodiment of the present invention provides a kind of failures to prejudge device, for actively discovering the weak ring in distributed busbar protection
Section pre-processes the failure that may occur, to ensure the normal operation of distributed busbar protection;In the distributed busbar protection
Equipped with multiple test points, each test point be equipped with measuring instrument, these measuring instruments be respectively used to detection pressure, flow, temperature,
Multiple indexs such as liquid level, the variations of these indexs reflect distributed busbar protection corresponding position operation conditions, specifically, such as
Variation by monitoring pressure can analyze and determine phenomena such as gas leakage whether has occurred in distributed busbar protection or blocks;These refer to
Target Real-time Monitoring Data refers to the measurement data of the operation continuous updating with distributed busbar protection, corresponding, history testing number
According to previous measurement data of the system structure initial stage by manual sorting and typing is referred to, by being counted, being analyzed to these data
And processing, the failure that can be actively discovered the weak link in distributed busbar protection and be likely to occur are corresponding to take
Measure avoid the generation of failure.In addition to distributed busbar protection, failure anticipation system can also be applied to other similar set
In standby.
Specifically, failure anticipation device includes the multiple measuring instruments being set in distributed busbar protection, for detecting
Reflect that the distributed busbar protection in multiple indexs of the operation conditions of corresponding position, further includes:
Data acquisition module, the Real-time Monitoring Data for acquiring the multiple index;
Data memory module, the history detection data for storing the multiple index;
Computation analysis module, for comparing the Real-time Monitoring Data of each index with corresponding history detection data
It is right, if the Real-time Monitoring Data of the index is in except the normal range (NR) of corresponding history detection data, judge the finger
Mark existing exception;According to the rule of setting, predict the distributed busbar protection by the failure of generation for the index for occurring abnormal;
Information transmission modular predicts the fault message obtained for exporting the computation analysis module.
In above-described embodiment, first, by the way that the Real-time Monitoring Data of each index is compared with history detection data,
To judge exception occurs in which index in distributed busbar protection, in this process, the real-time monitoring number of abnormal index
Except the normal range (NR) in corresponding history detection data;Secondly, according to the rule of setting, such as the exception letter of these indexs
The correspondence of relevance and dependence between breath and failure, to the failure that prediction distribution formula energy source station may occur, most
Afterwards, by take corresponding pretreating scheme it is possible to prevente effectively from failure generation, ensured energy supply safety, it is unnecessary to avoid
Loss.
The understanding for prejudging device to failure provided in an embodiment of the present invention for convenience, with reference to specific attached drawing and
Its principle and flow is described in detail in embodiment.
As shown in Figure 1, failure anticipation system includes the multiple measuring instruments 101 being set in distributed busbar protection, use
In detection reflection distributed busbar protection in multiple indexs of the operation conditions of corresponding position, such as pressure, flow, temperature, liquid level,
The abnormal conditions such as the up and down or fluctuation of each index may imply that certain failure will occur in distributed busbar protection;Also
Including data acquisition module 102, data memory module 103, computation analysis module 104 and information transmission modular 105, wherein
Data acquisition module 102 is used to acquire the Real-time Monitoring Data of each index, and data memory module 103 is for storing these indexs
History detection data, history detection data build initial stage by manual sorting and typing wherein in system;Computation analysis module 104 is
The core of entire failure anticipation system, can safeguard the normal operation of distributed busbar protection incessantly, calculate analysis mould
Block 104 is used to receive the Real-time Monitoring Data of each index, and the Real-time Monitoring Data of each index is detected with corresponding history
Data are compared, if the Real-time Monitoring Data of index is in except the normal range (NR) of corresponding history detection data, sentence
The index of breaking occurs abnormal;Computation analysis module 104 is additionally operable to the rule according to setting, divides for the index prediction for occurring abnormal
The failure of generation is such as passed through the corresponding pass of relevance and dependence between the exception information of index and failure by cloth energy source station
It is the failure that further prediction distribution formula energy source station may occur;Information transmission modular 105 is for exporting computation analysis module 104
It predicts the fault message obtained, fault message is such as conveyed to the intelligent control equipment of distributed busbar protection or the shifting of maintenance person
Dynamic terminal is carried out the pretreatment of failure by intelligent control equipment or carries out the pretreatment of failure by maintenance person automatically.In order to protect
The failure realization predicted can be effectively treated in card, when intelligent control equipment can not solve failure, information transmission modular
105 are additionally operable to pre-process transmitting fault information to maintenance person.Failure anticipation device is realized in distributed busbar protection
It is middle to use the management mode for actively discovering security risk, quick diagnosis failure and efficient process, it has ensured energy supply safety, has avoided
Unnecessary loss.
In a specific embodiment, computation analysis module 104 can be according to such as under type for the finger for exception occur
Prediction distribution formula energy source station is marked by the failure of generation:
For there is abnormal index, according to corresponding between the exception information of the index of setting and failure caused by possibility
Relationship, the set of failure caused by the abnormal index of acquisition appearance is possible, and the set of the failure is determined as distributed energy
It stands the failure of generation.In the embodiment, model F (Ai ... Aj ...)=G (B) may be used to express, i.e., in above-mentioned correspondence
After thering is which index exception occur in judging distributed busbar protection, by analyze different combinations between these indexs with therefore
Correspondence between barrier, to directly judge failure caused by possibility.Specifically, such as by detection find index A1, A3,
There is exception in A4, A6, A8, such as up and down, fluctuation, also, according to the exception information of the index of setting with may cause
Failure between correspondence show that when index A1, A6, A8 exception may lead to the generation of failure B1, index A3, A4, A6
When abnormal, the generation of failure B2 may be caused, then when B1, B2 being determined These parameters exception distributed busbar protection by generation therefore
Barrier.
In another specific embodiment, as shown in Fig. 2, computation analysis module 104 can also be according to following steps needle
To there is abnormal index prediction distribution formula energy source station by the failure of generation:
S201:There is abnormal index Ai for each, according to the exception information of the index of setting with may caused by therefore
Model may be used in correspondence between barrier, the set Mi of failure B, the correspondence caused by acquisition index Ai exceptions are possible
F (A)=G (B) is expressed, i.e., which failure may be caused to occur when determining index Ai exceptions according to causality, in set Mi
May include a kind of failure, two kinds of failures or various faults;
S202:For each failure Bx in set Mi, according to the failure of setting and may cause between abnormal index
Correspondence, obtain and be likely to occur the set Nx of abnormal index when failure Bx occurs;Mould may be used in the correspondence
Type G ' (B)=F ' (A) is expressed, once then which index will likely be caused to go out because the determining failure Bx of relationship occurs according to fruit
Now abnormal, which kind of variation can occur for these indexs, such as the features such as up and down or vibration;It may include a finger in set Nx
Mark, two indices or multiple indexs, and set Nx includes the index Ai described in step 1;In addition, being also possible between these indexs
There are some logical relations, such as " with or it is non-", for example, when failure B1 occurs, index A1 exceptions or A2 will be caused abnormal, and
It is abnormal to also result in index A3 and A5;
S203:For each index Ay in set Nx, the Real-time Monitoring Data of index Ay is detected with corresponding history
Data are compared, and whether judge index Ay occurs abnormal or abnormal probability occur, and judges corresponding failure according to result
The probability that Bx occurs;In the step, according to history detection data, which kind of variation judge index Ay occurs, if with failure Bx
Its variation tendency is consistent when generation;Also, since index Ai learns that exception has occurred in it in step 1 by comparison, this
When, other indexs in addition to index Ai need to be only compared;
S204:The probability for judging each failure Bx in set Mi, is determined as index Ai by the failure Bx of wherein maximum probability
Distributed busbar protection is by the failure of appearance when abnormal.
In above-described embodiment, there is abnormal index for each, when according to the exception information of the index of setting with may
When correspondence between caused failure is not matched to failure caused by Indexes Abnormality possibility, at this point, information transmission modular
105 are additionally operable to the location information of the exception information of output-index and the corresponding measuring instrument of index 101, and maintenance person can basis
These information check distributed busbar protection, and according to the above-mentioned module of inspection result renolation.In detection process, one
Kind situation is that these indexs may be temporary variation, can voluntarily restore normal after a period of time, can't lead
The generation of failure is caused, then in these data and short term variations logging data memory module 103 and will draw a conclusion that " no prediction is former
Barrier occurs ";Another situation is that the exception of index may lead to the generation of failure, then by the exception information of index and failure it
Between correspondence typing computation analysis module 104 in, further improve the module.
It is described in detail with a specific embodiment, in the embodiment, is measured by measuring instrument 101 below
Index includes A1, A2, A3 ..., wherein data memory module 103 is used to store the history detection data of each index, data
Acquisition module 102 is used to acquire the Real-time Monitoring Data of each index and is transferred to computation analysis module 104, and mould is analyzed by calculating
Block 104 carries out the processing and analysis of data, specifically includes:
Step 1:By the way that the Real-time Monitoring Data of each index is compared with history detection data, discovery index A1,
A3, A4 occur abnormal;
Step 2:According to model F (A)=G (B), the set M1 of failure B caused by acquisition is possible when index A1 exceptions,
Set M1 includes failure B2, B3, B5;
Step 3:According to model G ' (B)=F ' (A), the collection that abnormal index is likely to occur when failure B2 occurs is obtained
N2 is closed, set N2 includes index A1, A2, A5, A8;Index A1 will be such as caused to rise when failure B2 occurs, index A2 declines etc.;
Step 4:For each index in set N2, i.e. A1, A2, A5, A8, respectively by its respective real-time monitoring number
It is compared according to history detection data, to judge whether exception occurred, which kind of variation has occurred, if send out with failure B2
Its variation tendency is consistent when raw, if alternatively, at current time, wherein there are one or several indexs do not occur exception also, then also
It can judge that it abnormal probability occurs according to the variation tendency of these indexs, since index A1 is in step 1 by right
Than learning that exception has occurred in it, at this point, need to only analyze index A2, A5, A8;Finally, judge to correspond to according to result
The probability that occurs of failure B2, be denoted as P2;
Step 5:Step 2~step 4 is repeated, the probability that failure B3 occurs is respectively obtained, is denoted as P3 and failure B5
The probability of generation, is denoted as P5, a failure of maximum probability is most likely to occur by the probability for comparing the generation of these three failures
A breakdown judge be when index A1 exceptions distributed busbar protection by the failure of generation.
Step 6:Step 2~step 5 is repeated, respectively obtaining the distributed busbar protection when index A3, A4 exception will occur
Failure.
The failure obtained for prediction, to prevent the generation of failure, is having in order to take effective solution scheme
When body is arranged, in addition to the history detection data of each index, data memory module 103, which is additionally operable to distributed storage energy source station, to be sent out
Raw failure and corresponding solution, computation analysis module 104 are additionally operable to be occurred according to the distributed busbar protection of prediction
Failure matched solution is obtained from data memory module 103, so that can according to acquisition solution into
Some relevant pretreatments of row, effectively prevent the generation of failure.Specifically, data memory module 103 includes historical data base
And knowledge base, wherein the historical failure and corresponding solution party that the history detection data of each index, distributed busbar protection occur
Case is stored in historical data base, and compared with historical data base, knowledge base includes more abundant, comprehensive information, such as more
Fault type and corresponding solution, knowledge base can work as meter as the further supplement of historical data base related content
When calculation analysis module 104 is not matched to corresponding failure from historical data base, it can further expand the range of retrieval,
It is matched in knowledge base.
Further include expert module 106, expert module 106 is for storing specially to keep failure anticipation device more perfect
The communications address information of industry technical staff, correspondingly, information transmission modular 105 is additionally operable to, according to the communications address information, to count
Calculating analysis module 104 predicts the transmitting fault information obtained to professional technician.In this way, when computation analysis module 104 is in number
When according to not finding matched solution in memory module 103, corresponding solution can be provided by professional technician,
Or when maintenance person can not solve failure, can by professional technician to maintenance person carry out online direction, so as to quickly,
Efficiently complete the pretreatment of failure.In addition, further including operation monitoring module 107, operation monitoring module 107 is used to pass in information
After defeated module 105 exports the fault message that the prediction of computation analysis module 104 obtains, monitoring occurs whether abnormal index is restored just
Often, when exception does not exclude after being pre-processed to failure, then the distributed energy to prediction is sent out to computation analysis module 104
It stands the control signal for being adjusted the failure of appearance;In the present embodiment, it is different that these appearance are monitored by operation monitoring module 107
Whether normal index restores normal, come judge prediction failure accuracy, further perfect this method model.
The embodiment of the present invention additionally provides a kind of failure pre-judging method, as shown in figure 3, this approach includes the following steps:
S301:Reflect distributed busbar protection in correspondence by the multiple measuring instruments detection being arranged in distributed busbar protection
Multiple indexs of the operation conditions of position;
S302:Acquire the Real-time Monitoring Data of multiple indexs;
S303:Store the history detection data of multiple indexs;
S304:The Real-time Monitoring Data of each index is compared with corresponding history detection data, if the reality of index
When monitoring data be in except the normal range (NR) of corresponding history detection data, then judge index occurs abnormal;
S305:For there is abnormal index, according between failure caused by the exception information of the index of setting and possibility
Correspondence, determine may finally caused by fault message;
S306:The fault message determined is exported.
In above-described embodiment, first, by the way that the Real-time Monitoring Data of each index is compared with history detection data,
To judge exception occurs in which index in distributed busbar protection;Secondly, analyze the exception informations of these indexs and failure it
Between relevance and dependence, the failure that may occur to prediction distribution formula energy source station;Finally, by taking corresponding pre- place
Reason scheme it is possible to prevente effectively from failure generation, ensured energy supply safety, avoid unnecessary loss.
In a specific embodiment, for there is abnormal index, according to the exception information of the index of setting with can
Correspondence between failure caused by energy determines eventually possible caused fault message, specifically includes:
For there is abnormal index, according to corresponding between the exception information of the index of setting and failure caused by possibility
Relationship, the set of failure caused by the abnormal index of acquisition appearance is possible, and the collection of failure are combined into may finally caused failure
Information.After exception occurs in which index in judging distributed busbar protection, by analyzing different combinations between these indexs
Correspondence between failure, to directly judge failure caused by possibility.
In another specific embodiment, for there is abnormal index, according to the exception information of the index of setting with
Correspondence between failure caused by possible determines eventually possible caused fault message, specifically includes:
There is abnormal index for each, according between failure caused by the exception information of the index of setting and possibility
Correspondence, the set of failure caused by each index for exception occur of acquisition is possible;
For each failure in set, according to the corresponding pass between the failure of setting and the index that exception may be caused
System obtains the set for being likely to occur abnormal index when an error occurs;
For each index in set, the Real-time Monitoring Data of index is compared with corresponding history detection data
Right, whether judge index occurs abnormal or abnormal probability occurs, and judges the probability that corresponding failure occurs according to result;
The probability for judging each failure in set, when the failure of maximum probability is determined as Indexes Abnormality may caused by therefore
Hinder information.In the embodiment, distributed energy is determined because of relationship by causality between analysis indexes and failure and fruit
It stands the failure that may occur, improves calculating speed and accuracy.
In latter embodiment, there is abnormal index for each, when according to the exception information of the index of setting with
Further include output-index when correspondence between failure caused by possibility is not matched to failure caused by Indexes Abnormality possibility
Exception information and the corresponding measuring instrument of index location information.In this way, maintenance person can be according to these information to distribution
Formula energy source station checked, and according to the above-mentioned computation model of inspection result renolation.
When specific setting, for there is abnormal index, according to the exception information of the index of setting with may caused by therefore
Correspondence between barrier, determine may finally caused by after fault message, further include:
The failure and corresponding solution that may be occurred according to the distributed busbar protection of storage obtain point with prediction
Cloth energy source station is by the corresponding solution of the failure of generation.Allow to carry out according to the solution obtained in this way
Relevant pretreatment effectively prevents the generation of failure.
When specific setting, it is specially by the fault message determined output:By the transmitting fault information determined to intelligence
Change control device or the mobile terminal of maintenance person.It is automatically performed the pretreatment of failure by Intellectualized monitoring equipment, or passes through dimension
Shield person completes the pretreatment of failure, also, in order to further improve the program, is giving the transmitting fault information determined to intelligence
Change monitoring device, and when Intellectualized monitoring equipment can not complete the pretreatment of failure, at this point it is possible to again by transmitting fault information
Onto the mobile terminal of maintenance person.
After exporting the fault message determined, further include:
Monitoring occurs whether abnormal index restores normal, abnormal when not excluding after being pre-processed to failure, then root
Correspondence between failure caused by exception information and possibility according to the index of setting redefines may finally caused event
Hinder information.Occur whether abnormal index restores normal by monitoring these, to judge the accuracy for the failure predicted, further
Perfect this method model.
Alternatively, being specially by the fault message determined output:Give the transmitting fault information determined to professional technique people
Member.In this way, guidance can be made to the solution etc. of failure by professional technician, improve work efficiency and quality.
By above description as can be seen that in the embodiment of the present invention, distributed energy is promoted by building prediction model
It stands the precision and efficiency of O&M, turns to based on artificial intelligence from rule-based automation O&M intelligent is done step-by-step and transports
Dimension, realization scents a hidden danger in advance and the management mode of quick diagnosis failure, has ensured energy supply safety, reduces and safeguards what employee made
Danger avoids unnecessary loss.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God 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 (16)
1. a kind of failure pre-judging method, which is characterized in that including:
Reflect the distributed busbar protection in corresponding position by the multiple measuring instruments detection being arranged in distributed busbar protection
Operation conditions multiple indexs;
Acquire the Real-time Monitoring Data of the multiple index;
Store the history detection data of the multiple index;
The Real-time Monitoring Data of each index is compared with corresponding history detection data, if the real-time monitoring of the index
Data are in except the normal range (NR) of corresponding history detection data, then it is abnormal to judge that the index occurs;
For there is abnormal index, according to the corresponding pass between the exception information of the index of setting and failure caused by possibility
System, determining may finally caused fault message;
The fault message determined is exported.
2. failure pre-judging method as described in claim 1, which is characterized in that for there is abnormal index, according to setting
Correspondence between failure caused by the exception information and possibility of index determines eventually possible caused fault message, specifically
Including:
For there is abnormal index, according to the corresponding pass between the exception information of the index of setting and failure caused by possibility
System, the set of failure caused by the acquisition index for exception occur is possible, and the collection of the failure is combined into and may finally cause
Fault message.
3. failure pre-judging method as described in claim 1, which is characterized in that for there is abnormal index, according to setting
Correspondence between failure caused by the exception information and possibility of index determines eventually possible caused fault message, specifically
Including:
There is abnormal index for each, according to corresponding between the exception information of the index of setting and failure caused by possibility
Relationship, the set of failure caused by acquisition each index for exception occur is possible;
For each failure in the set, according to the corresponding pass between the failure of setting and the index that exception may be caused
System obtains the set for being likely to occur abnormal index when the fault occurs;
For each index in the set, the Real-time Monitoring Data of the index is carried out with corresponding history detection data
It compares, judges whether the index occurs abnormal or abnormal probability occur, and judge what corresponding failure occurred according to result
Probability;
The probability for judging each failure in the set, may cause when the failure of maximum probability is determined as the Indexes Abnormality
Fault message.
4. failure pre-judging method as claimed in claim 3, which is characterized in that abnormal index occur for each, work as basis
Correspondence between failure caused by the exception information and possibility of the index of setting is not matched to the Indexes Abnormality may
Further include the position letter of the exception information and the corresponding measuring instrument of the index that export the index when caused failure
Breath.
5. failure pre-judging method as described in claim 1, which is characterized in that for there is abnormal index, according to setting
The exception information of index and may caused by correspondence between failure, determine may finally caused by after fault message, also
Including:
The failure and corresponding solution that may be occurred according to the distributed busbar protection of storage obtain the institute with prediction
Distributed busbar protection is stated by the corresponding solution of the failure of generation.
6. failure pre-judging method as described in claim 1, which is characterized in that be specially by the fault message determined output:
By the transmitting fault information determined to intelligent control equipment or the mobile terminal of maintenance person.
7. failure pre-judging method as described in claim 1, which is characterized in that after exporting the fault message determined, also wrap
It includes:
Monitoring occurs whether abnormal index restores normal, and when exception does not exclude after being pre-processed to failure, then basis is set
Correspondence between failure caused by the exception information and possibility of the index set redefines may finally caused failure letter
Breath.
8. failure pre-judging method as described in claim 1, which is characterized in that be specially by the fault message determined output:
By the transmitting fault information determined to professional technician.
9. a kind of failure prejudges device, which is characterized in that including the multiple measuring instruments being set in distributed busbar protection, be used for
Detection reflects multiple indexs of operation conditions of the distributed busbar protection in corresponding position, further includes:
Data acquisition module, the Real-time Monitoring Data for acquiring the multiple index;
Data memory module, the history detection data for storing the multiple index;
Computation analysis module, for the Real-time Monitoring Data of each index to be compared with corresponding history detection data, if
The Real-time Monitoring Data of the index is in except the normal range (NR) of corresponding history detection data, then judges that the index occurs
It is abnormal;According to the rule of setting, predict the distributed busbar protection by the failure of generation for the index for occurring abnormal;
Information transmission modular predicts the fault message obtained for exporting the computation analysis module.
10. failure as claimed in claim 9 prejudges device, which is characterized in that
The computation analysis module, will generation according to distributed busbar protection as described in the index prediction for being directed to appearance exception such as under type
Failure:
For there is abnormal index, according to the corresponding pass between the exception information of the index of setting and failure caused by possibility
System, the set of failure caused by the acquisition index for exception occur is possible, and the set of the failure is determined as described divide
Cloth energy source station is by the failure of generation.
11. failure as claimed in claim 9 prejudges device, which is characterized in that
The computation analysis module, will generation according to distributed busbar protection as described in the index prediction for being directed to appearance exception such as under type
Failure:
There is abnormal index for each, according to corresponding between the exception information of the index of setting and failure caused by possibility
Relationship obtains the set of failure caused by the Indexes Abnormality possibility;
For each failure in the set, according to the corresponding pass between the failure of setting and the index that exception may be caused
System obtains the set for being likely to occur abnormal index when the fault occurs;
For each index in the set, the Real-time Monitoring Data of the index is carried out with corresponding history detection data
It compares, judges whether the index occurs abnormal or abnormal probability occur, and judge what corresponding failure occurred according to result
Probability;
The probability for judging each failure in the set, the distribution when failure of maximum probability is determined as the Indexes Abnormality
Formula energy source station is by the failure of appearance.
12. failure as claimed in claim 11 prejudges device, which is characterized in that abnormal index occur for each, work as root
Correspondence between failure caused by exception information and possibility according to the index of setting is not matched to the Indexes Abnormality can
Caused by energy when failure, described information transmission module is additionally operable to export the exception information of the index and the index is corresponding
The location information of measuring instrument.
13. failure as claimed in claim 9 prejudges device, which is characterized in that the data memory module is additionally operable to storage institute
State the failure and corresponding solution that distributed busbar protection may occur;
The computation analysis module is additionally operable to be deposited the failure of generation from the data according to the distributed busbar protection of prediction
Matched solution is obtained in storage module.
14. failure as claimed in claim 9 prejudges device, which is characterized in that described information transmission module, for that will measure in advance
The transmitting fault information gone out is to intelligent control equipment or the mobile terminal of maintenance person.
15. failure as claimed in claim 9 prejudges device, which is characterized in that further include:
Monitoring module is run, the operation monitoring module is used to export the computation analysis module in described information transmission module pre-
After the fault message measured out, monitoring occurs whether abnormal index restores normal, after being pre-processed to failure extremely not
When exclusion, is then sent out to the computation analysis module and the failure of appearance is adjusted by the distributed busbar protection of prediction
Control signal.
16. failure as claimed in claim 9 prejudges device, which is characterized in that further include:
Expert module, the expert module are used to store the communications address information of professional technician, described information transmission module
It is additionally operable to the communications address information according to the professional technician, the fault message that the computation analysis module is predicted to obtain
It is transferred to professional technician.
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Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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-
2018
- 2018-06-15 CN CN201810621519.XA patent/CN108805359A/en active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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