CN108805359A - A kind of failure pre-judging method and device - Google Patents

A kind of failure pre-judging method and device Download PDF

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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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failure
index
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exception
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杨红
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New Austrian Universal Network Technology Co Ltd
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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

A kind of failure pre-judging method and device
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.
CN201810621519.XA 2018-06-15 2018-06-15 A kind of failure pre-judging method and device Pending CN108805359A (en)

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CN110046076A (en) * 2019-04-25 2019-07-23 广州河东科技有限公司 Intelligent system equipment environment checking method, system, equipment and storage medium
CN110567515A (en) * 2019-08-26 2019-12-13 珠海格力电器股份有限公司 Fault early warning method and device and intelligent building control system
CN110738352A (en) * 2019-09-12 2020-01-31 武汉儒松科技有限公司 Maintenance dispatching management method, device, equipment and medium based on fault big data
CN110758414A (en) * 2019-11-11 2020-02-07 上海电气集团股份有限公司 Rail transit vehicle control system and control method
CN110784355A (en) * 2019-10-30 2020-02-11 网宿科技股份有限公司 Fault identification method and device
CN110989432A (en) * 2019-11-29 2020-04-10 北京京能电力股份有限公司 System and method for analyzing unit start-stop sequence logic
CN112131030A (en) * 2019-06-09 2020-12-25 霍尼韦尔国际公司 Digital input edge detection using intelligent filtering algorithm
CN112485744A (en) * 2020-11-16 2021-03-12 国网山东省电力公司莒县供电公司 Fault identification method and equipment for capacitor voltage transformer
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
CN114237176A (en) * 2021-12-08 2022-03-25 中盈优创资讯科技有限公司 Method and device for realizing out-of-control prejudgment of normal index in communication field based on control chart
CN114435172A (en) * 2022-03-01 2022-05-06 深圳市中鑫新能源科技有限公司 Automatically-managed intelligent charging pile and intelligent charging method for new energy automobile
CN116489687A (en) * 2023-03-31 2023-07-25 宁夏回族自治区水利工程建设中心 Water conservancy intelligent monitoring system and method based on 5G communication technology
CN117310313A (en) * 2023-09-18 2023-12-29 广东永光新能源设计咨询有限公司 Fault detection method, system, equipment and medium of energy storage device

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CN109552102A (en) * 2018-12-03 2019-04-02 深圳前海点点电工网络科技有限公司 Electrically-charging equipment operation and the integrated failure prediction method of O&M
CN110046076A (en) * 2019-04-25 2019-07-23 广州河东科技有限公司 Intelligent system equipment environment checking method, system, equipment and storage medium
CN112131030A (en) * 2019-06-09 2020-12-25 霍尼韦尔国际公司 Digital input edge detection using intelligent filtering algorithm
CN110567515A (en) * 2019-08-26 2019-12-13 珠海格力电器股份有限公司 Fault early warning method and device and intelligent building control system
CN110738352A (en) * 2019-09-12 2020-01-31 武汉儒松科技有限公司 Maintenance dispatching management method, device, equipment and medium based on fault big data
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
CN110784355B (en) * 2019-10-30 2022-03-08 网宿科技股份有限公司 Fault identification method and device
CN110784355A (en) * 2019-10-30 2020-02-11 网宿科技股份有限公司 Fault identification method and device
CN110758414A (en) * 2019-11-11 2020-02-07 上海电气集团股份有限公司 Rail transit vehicle control system and control method
CN110989432A (en) * 2019-11-29 2020-04-10 北京京能电力股份有限公司 System and method for analyzing unit start-stop sequence logic
CN112485744A (en) * 2020-11-16 2021-03-12 国网山东省电力公司莒县供电公司 Fault identification method and equipment for capacitor voltage transformer
CN114237176A (en) * 2021-12-08 2022-03-25 中盈优创资讯科技有限公司 Method and device for realizing out-of-control prejudgment of normal index in communication field based on control chart
CN114435172A (en) * 2022-03-01 2022-05-06 深圳市中鑫新能源科技有限公司 Automatically-managed intelligent charging pile and intelligent charging method for new energy automobile
CN114435172B (en) * 2022-03-01 2022-11-22 深圳市中鑫新能源科技有限公司 Automatically-managed intelligent charging pile and intelligent charging method for new energy automobile
CN116489687A (en) * 2023-03-31 2023-07-25 宁夏回族自治区水利工程建设中心 Water conservancy intelligent monitoring system and method based on 5G communication technology
CN116489687B (en) * 2023-03-31 2023-11-17 宁夏回族自治区水利工程建设中心 Water conservancy intelligent monitoring system and method based on 5G communication technology
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