CN109740770A - Unit exception processing method, device, computer equipment and storage medium - Google Patents
Unit exception processing method, device, computer equipment and storage medium Download PDFInfo
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Abstract
This application involves a kind of unit exception processing method, device, computer equipment and storage mediums.The described method includes: obtaining monitoring of tools information；The extract equipment warning message from monitoring of tools information；It determines operating mode locating for equipment, and determines that corresponding processing priority is other according to operating mode；It is other according to processing priority, correlation analysis is carried out to equipment alarm information, obtains correlation analysis result；Abnormal alarm message is generated according to correlation analysis result, and sends abnormal alarm message to preset alert process node, alert process node carries out abnormality processing to equipment according to abnormal alarm message.It can be improved the efficiency of unit exception processing using this method.
Description
Technical field
This application involves technical field of power systems, more particularly to a kind of unit exception processing method, device, computer
Equipment and storage medium.
Background technique
With the fast development of power grid, structure becomes to become increasingly complex, and power grid construction is just towards information-based and intelligent
Direction develop.Wherein, regulate and control the integrated positive adaptation demand of power grid intensive management and sustainable development, in regulation one
Under mode, power grid security, stabilization, the key of economical operation are to ensure that the efficient process of grid equipment warning message.
Currently, the warning message of each grid equipment is pooled to control centre, when network system does not occur obvious exception, by
When dispatcher carries out abnormality processing, it often can not effectively be identified, so that warning message is unable to get timely processing, lead to equipment
Abnormality processing efficiency is lower.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of equipment that can be improved unit exception treatment effeciency
Abnormality eliminating method, device, computer equipment and storage medium.
A kind of unit exception processing method, which comprises
Obtain monitoring of tools information；
The extract equipment warning message from monitoring of tools information；
It determines operating mode locating for equipment, and determines that corresponding processing priority is other according to operating mode；
It is other according to processing priority, correlation analysis is carried out to equipment alarm information, obtains correlation analysis result；
Abnormal alarm message is generated according to correlation analysis result, and sends abnormal alarm message to preset alert process
Node, alert process node carry out abnormality processing to equipment according to abnormal alarm message.
In one of the embodiments, after obtaining monitoring of tools information, further includes:
Inquire preset experts database rule；
According to experts database rule, monitoring of tools information is pre-processed, obtains pretreatment monitoring information；
Monitoring information will be pre-processed as monitoring of tools information.
Extract equipment warning message includes: from monitoring of tools information in one of the embodiments,
Monitoring information keyword is extracted from monitoring of tools information；
Inquire preset monitoring information classifying rules；
Monitoring information keyword and monitoring information classifying rules are matched, matching result is obtained；
According to matching result, the extract equipment warning message from monitoring of tools information.
Operating mode locating for equipment is determined in one of the embodiments, and corresponding place is determined according to operating mode
Managing priority level includes:
Obtain the weather information of region locating for equipment；
According to weather information determine equipment locating for operating mode；
According to preset mode classes mapping ruler, determine that the corresponding processing priority of operating mode is other.
It is other according to processing priority in one of the embodiments, correlation analysis is carried out to equipment alarm information, is obtained
Correlation analysis result includes:
It is other according to processing priority, equipment alarm information is subjected to priority level sequence, obtains alert process sequence；
According to alert process sequence, reasoning by cases processing is carried out to equipment alarm information and rule-based reasoning is handled, respectively
To case the reasoning results and rule-based reasoning result；
According to reasoning by cases result and rule-based reasoning as a result, obtaining correlation analysis result.
In one of the embodiments, according to reasoning by cases result and rule-based reasoning as a result, obtaining correlation analysis result
Include:
Inquire preset correlation analysis weight；
According to correlation analysis weight, processing is weighted to reasoning by cases result and rule-based reasoning result, obtains correlation
Property analysis result.
Generating abnormal alarm message according to correlation analysis result in one of the embodiments, includes:
Device exception information is obtained according to correlation analysis result；
Determine the corresponding exception handling information of device exception information；
According to device exception information and exception handling information, abnormal alarm message is generated.
A kind of unit exception processing unit, described device include:
Monitoring information obtains module, for obtaining monitoring of tools information；
Warning message extraction module, for the extract equipment warning message from monitoring of tools information；
Priority level determining module for determining operating mode locating for equipment, and is determined according to operating mode corresponding
Processing priority is other；
Correlating module carries out correlation analysis to equipment alarm information, obtains for other according to processing priority
Correlation analysis result；
Unit exception processing module for generating abnormal alarm message according to correlation analysis result, and sends abnormal report
Alert message to preset alert process node, alert process node carries out abnormality processing to equipment according to abnormal alarm message.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor perform the steps of when executing the computer program
Obtain monitoring of tools information；
The extract equipment warning message from monitoring of tools information；
It determines operating mode locating for equipment, and determines that corresponding processing priority is other according to operating mode；
It is other according to processing priority, correlation analysis is carried out to equipment alarm information, obtains correlation analysis result；
Abnormal alarm message is generated according to correlation analysis result, and sends abnormal alarm message to preset alert process
Node, alert process node carry out abnormality processing to equipment according to abnormal alarm message.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
Obtain monitoring of tools information；
The extract equipment warning message from monitoring of tools information；
It determines operating mode locating for equipment, and determines that corresponding processing priority is other according to operating mode；
It is other according to processing priority, correlation analysis is carried out to equipment alarm information, obtains correlation analysis result；
Abnormal alarm message is generated according to correlation analysis result, and sends abnormal alarm message to preset alert process
Node, alert process node carry out abnormality processing to equipment according to abnormal alarm message.
Above equipment abnormality eliminating method, device, computer equipment and storage medium, from the monitoring of tools information of acquisition
Extract equipment warning message, the corresponding processing priority of the operating mode according to locating for equipment is other, carries out phase to equipment alarm information
The analysis of closing property, generates abnormal alarm message further according to correlation analysis result, controls alert process section by abnormal alarm message
Point carries out abnormality processing to equipment.In unit exception treatment process, directly according to the correlation analysis knot of equipment alarm information
Fruit generates corresponding abnormal alarm message and carries out abnormality processing, do not need dispatcher and artificially identify, improve at unit exception
The efficiency of reason.
Detailed description of the invention
Fig. 1 is the applied environment figure of unit exception processing method in one embodiment；
Fig. 2 is the flow diagram of unit exception processing method in one embodiment；
Fig. 3 is the flow diagram of correlation analysis in one embodiment；
Fig. 4 is the flow diagram of correlation analysis in another embodiment；
Fig. 5 is the structural block diagram for regulating and controlling integral system in one embodiment；
Fig. 6 is 61970 extended model schematic diagram of IEC in one embodiment；
Fig. 7 is the structural block diagram of unit exception processing unit in one embodiment；
Fig. 8 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Unit exception processing method provided by the present application, can be applied in application environment as shown in Figure 1.Wherein, electric
Power plant, step-up substation, transmission line of electricity, load center electric substation, distribution line and load center in Force system are sequentially connected,
Realize power Transmission.The application passes through the monitoring of tools information of each power equipment in server (not shown) electric power monitoring system,
The extract equipment warning message from the monitoring of tools information of acquisition, the corresponding processing priority of the operating mode according to locating for equipment
Not, correlation analysis is carried out to equipment alarm information, generates abnormal alarm message further according to correlation analysis result, passes through exception
Warning message controls alert process node and carries out abnormality processing to equipment.Server can be either multiple with independent server
The server cluster of server composition is realized.
In one embodiment, as shown in Fig. 2, providing a kind of unit exception processing method, it is applied to Fig. 1 in this way
In server for be illustrated, comprising the following steps:
Step S201: monitoring of tools information is obtained.
Monitoring of tools information can be the various monitoring datas collected when being monitored to each equipment of network system.
Specifically, monitoring of tools information includes various telemetries and remote signal, can specifically be set by the standardization for communication
The Real-time data interface of meter, telemetry and long-range letter of the real-time reception from front end system (Front End System, FES)
The information of data is enabled, from SCADA (Supervisory Control And Data Acquisition, data acquisition and prison
Depending on control system) main system IEC61970 model data and it includes mapped file, and the telemetering from SCADA and
Remote signal.Further, it is also possible to some data-interfaces are arranged, for the static information from secondary device, failure information system
Information and the other information in future receive information, so that system be made to cover entire information process, available power grid system
Each monitoring of tools information in system.
Step S203: the extract equipment warning message from monitoring of tools information.
Monitoring of tools information includes various monitoring datas, therefrom extracts the equipment alarm information for needing to carry out abnormality processing.
For example, monitoring of tools information may include the decline warning information under the various operating statuses of network system, specifically includes identification and protect
Spoofing that shield and the warning information of switching, maintenance or commissioning device are sent, protection message and with obvious logic error
Handover request, repetition message etc., wherein warning information is the equipment alarm information for needing to carry out abnormality processing.
Specifically, can be by keyword extraction method, fuzzy recognition equipment alarm information, and use user policy and thing
Example mixed inference mechanism identifies various information from monitoring of tools information in conjunction with expert system knowledge base and case searching knowledge,
Equipment alarm information is obtained to extract.
Step S205: it determines operating mode locating for equipment, and determines that corresponding processing priority is other according to operating mode.
For unit exception processing, different processing strategies can be arranged according to the operating mode locating for equipment.For example,
Operating mode locating for equipment can be set to typhoon model and normal mode, then the weather information in the region according to locating for equipment
It determines the operating mode of equipment, and carries out abnormality processing according to corresponding abnormality processing strategy.In the present embodiment, different operating mould
Formula is other equipped with different processing priorities, and the operating mode according to locating for equipment determines that corresponding processing priority is other.Wherein, locate
Managing priority level is the successive priority handled equipment alarm information, so as in time to the other equipment report of high priority
Police carries out carry out abnormality processing.
Step S207: it is other according to processing priority, correlation analysis is carried out to equipment alarm information, obtains correlation analysis
As a result.
It is other according to obtained processing priority, correlation analysis successively is carried out to each equipment alarm information, is such as based on case
The analysis of the method for reasoning (Case-Based Reasoning, CBR) and rule-based reasoning (Rule-Based Reasoning, RBR)
Correlation between equipment alarm information obtains correlation analysis result.It can be effectively to equipment alarm by correlation analysis
Information carries out integration diagnosis, to carry out unit exception processing in time before accident occurs, it is ensured that the normal operation of network system.
Wherein, mainly for the treatment of comprising the causal equipment alarm information saved in knowledge base, database can also include RBR
The priority of corresponding rule and equipment alarm information is arranged.For example, if a certain type equipment warning message is not located immediately
Reason, then failure will occur, and for this equipment alarm information, priority number should be high-level.CBR is for handling one
Or the relevant information between the post-processing case and strategy of multiple equipment warning message, that is, it is based on historical Device abnormality processing case
Carry out correlation analysis.
Step S209: generating abnormal alarm message according to correlation analysis result, and sends abnormal alarm message to default
Alert process node, alert process node according to abnormal alarm message to equipment carry out abnormality processing.
After obtaining correlation analysis result, abnormal alarm message is generated according to the correlation analysis result, passes through the exception
Warning message makes preset alert process node carry out abnormality processing to equipment.It specifically, can be according to correlation analysis result
Device exception information is obtained, i.e., specific equipment fault situation determines that corresponding abnormality processing is believed further according to device exception information
Breath determines the troubleshooting strategy being directed to according to equipment fault situation, and according to device exception information and exception handling information
Generate abnormal alarm message.By identifying equipment alarm information before accident occurs, so that the dispatcher of alert process node can
To carry out unit exception processing in time, the efficiency of unit exception processing is improved.
In above equipment abnormality eliminating method, the extract equipment warning message from the monitoring of tools information of acquisition, according to setting
The standby corresponding processing priority of locating operating mode is other, correlation analysis is carried out to equipment alarm information, further according to correlation point
It analyses result and generates abnormal alarm message, alert process node is controlled by abnormal alarm message, abnormality processing is carried out to equipment.?
In unit exception treatment process, directly according to the correlation analysis of equipment alarm information as a result, generating corresponding abnormal alarm message
Abnormality processing is carried out, dispatcher is not needed and artificially identifies, improves the efficiency of unit exception processing.
In one embodiment, after obtaining monitoring of tools information, further includes: inquire preset experts database rule；Root
According to experts database rule, monitoring of tools information is pre-processed, obtains pretreatment monitoring information；Monitoring information conduct will be pre-processed
Monitoring of tools information.
After obtaining monitoring of tools information, monitoring of tools information can be pre-processed, such as be filtered, combine and divide
The pretreatments such as class processing, filter out error information or useless monitoring of tools information.Specifically, preset experts database rule are inquired
Then, experts database rule is to be obtained based on reason rule everywhere in network system, can monitor various kinds of equipment by experts database rule
Out-of-limit situation, the defect of on-line analysis various kinds of equipment, tracking equipment defect history, and be associated according to remote signalling or interval,
Comprehensive descision is carried out in conjunction with network topology and network trend, to realize the pretreatment to monitoring of tools information.In the present embodiment,
According to experts database rule, monitoring of tools information is pre-processed, is such as filtered, combination and classification processing obtain pretreatment prison
Control information.Wherein, filtering can filter out the data of apparent error from monitoring of tools information, and combination and classification can be according to equipment
The classification of monitoring information carries out normalization.After obtaining pretreatment monitoring information, carried out by the pretreatment monitoring information subsequent
The processing of equipment alarm information extraction can be extracted and be merged to the valid data of monitoring of tools information, improve subsequent
To the treatment effeciency of monitoring of tools information equipment monitoring information.
It in one embodiment, include: from monitoring of tools information from extract equipment warning message in monitoring of tools information
Extract monitoring information keyword；Inquire preset monitoring information classifying rules；Monitoring information keyword and monitoring information are classified
Rule is matched, and matching result is obtained；According to matching result, the extract equipment warning message from monitoring of tools information.
It can be based on keyword extraction method, the extract equipment warning message from monitoring of tools information.Specifically, pass through pass
Key word extracting method, fuzzy recognition monitoring of tools information, with user policy and example mixed inference mechanism, in conjunction with expert system
Knowledge base and case searching knowledge, identify various kinds of equipment warning message.Equipment alarm information can be with by its importance ranking are as follows: thing
Therefore information, Instant alarming information, delayed alarm information, status information.And classification when according to monitoring, equipment alarm information can be with
It is divided into six kinds, including sequence of events (Sequence Of Event, SOE) message, unit exception message, exception message, prompt disappear
Breath, the breaker message safeguarding message and not resetting.
In the present embodiment, monitoring information keyword is extracted from monitoring of tools information, monitoring information keyword can be pair
Answer feature field, the identification information etc. of monitoring of tools information.Inquire preset monitoring information classifying rules, monitoring information classification gauge
Then include mapping corresponding relationship between each monitoring information keyword and equipment alarm information, can specifically include user policy,
Example mixed inference mechanism, expert system knowledge base and case searching knowledge.It can be determined according to the monitoring information classifying rules
The corresponding equipment alarm information of each monitoring information keyword.After obtaining monitoring information classifying rules, by monitoring information keyword and
Monitoring information classifying rules is matched, and according to matching result, the extract equipment warning message from monitoring of tools information.
In one embodiment, it determines operating mode locating for equipment, and determines that corresponding processing is excellent according to operating mode
First rank includes: to obtain the weather information of region locating for equipment；According to weather information determine equipment locating for operating mode；According to
Preset mode classes mapping ruler determines that the corresponding processing priority of operating mode is other.
When equipment is in different operating modes, it is other to be provided with corresponding different processing priority, so as to each equipment report
Alert information carries out abnormality processing according to priority level.Specifically, when determining alignment processing priority level according to equipment operating mode,
Obtain the weather information of region locating for equipment.It in specific implementation, can be according to features such as frequency, amplitude, phases to Supervision
Control information is filtered, and determines substation region belonging to equipment alarm information according to filtered monitoring of tools information, into
One step obtains the weather information in the substation region.According to weather information determine equipment locating for operating mode, different meteorologies
Information corresponds to different operating modes, if operating mode may include typhoon module and normal mode, when equipment alarm information
When affiliated substation region is in State of Typhoon, can mark the equipment operating mode is typhoon model, under typhoon model,
The priority of equipment alarm information and therapeutic strategy, i.e. abnormality processing strategy is different from normal mode.For example, if equipment alarm
Information needs are handled in one day in the normal mode, then should be unrelated in typhoon, that is, be to record, rather than locate
Reason.Rule is created in the knowledge base of typhoon model and case library, and uses reasonable mode identification method, but handles information
Process is identical as general mode, when the system is operated, can monitor the switch trip number on transmission line, immediately also to ensure equipment
It operates normally.
After determining operating mode locating for equipment, according to preset mode classes mapping ruler, determine that operating mode is corresponding
Processing priority it is other.Wherein, mode classes mapping ruler includes between each operating mode is other with corresponding processing priority
Mapping relations.
In one embodiment, as shown in figure 3, the step of correlation analysis, i.e., other according to processing priority, to equipment report
Alert information carries out correlation analysis, and obtaining correlation analysis result includes:
Step S301: it is other according to processing priority, equipment alarm information is subjected to priority level sequence, obtains alert process
Sequence.
In the present embodiment, case-based reasioning and rule-based reasoning analyze the correlation between each equipment alarm information.Specifically
Ground, it is other according to processing priority, equipment alarm information is subjected to priority level sequence, such as according to priority level from high to low suitable
Equipment alarm information is ranked up by sequence, obtains alert process sequence.
Step S303: according to alert process sequence, equipment alarm information is carried out at reasoning by cases processing and rule-based reasoning
Reason, respectively obtains reasoning by cases result and rule-based reasoning result.
After obtaining alert process sequence, according to the alert process sequence, reasoning by cases processing is carried out to equipment alarm information
With rule-based reasoning processing, reasoning by cases result and rule-based reasoning result are respectively obtained.
Wherein, reasoning by cases imitates the Heuristics of the previous similar problems of human use to solve new problem,
Reasoning process mainly includes the processes such as case representation, Case Retrieval and case study.The expression of case just refer to new case into
Row detailed description；The retrieval of case is to determine similar case by similarity calculation according to certain search strategy, and case
Study be then to judge whether for new case to be added in case library, and correct the case in corresponding case library.Specifically, it receives
Equipment alarm information and after carrying out point interval or cell processing, presses case for the equipment alarm information in some interval or unit first
Example description table is described as target case, then in conjunction with the case (source case) in association case table, further according to nearest-neighbor approach
Similar cases are retrieved in these cases, i.e., abnormal signal number are converted into Boolean type case that (there are the signals to be designated as 1
There is no for the similarity 0) to calculate target example Yu source example, several most like examples are chosen according to the size of similarity
It lists, provides the reasoning results and processing scheme.And rule-based reasoning is the expertise rule according to summary to equipment alarm information
It is handled, i.e., rule-based reasoning is used to handle the causal equipment alarm information comprising saving in knowledge base, and database is also
It may include the priority setting of corresponding rule and equipment alarm information.
When specific implementation, as shown in figure 4, first carrying out reasoning by cases processing, specifically when equipment alarm information correlativity is analyzed
Similar history case is searched for according to new case, when successful match, corresponding unit exception is carried out according to matched history case
Processing；When matching unsuccessful, rule-based reasoning is carried out, especially by the excellent of the KnowledgeBase-query rule of correspondence and equipment alarm information
First grade setting, carries out rule-based reasoning by thruster, obtains correlation analysis result.Finally using correlation analysis result as new
Case is updated in case library, is handled for subsequent reasoning by cases.
Step S305: according to reasoning by cases result and rule-based reasoning as a result, obtaining correlation analysis result.
After obtaining reasoning by cases result and rule-based reasoning result, in conjunction with the reasoning by cases result and rule-based reasoning as a result, obtaining
To correlation analysis result.By fusion reasoning by cases result and rule-based reasoning as a result, available accurate correlation analysis
As a result.Specifically can by preset weight, to reasoning by cases result and rule-based reasoning result be weighted processing obtain it is related
Property analysis result.
In one embodiment, according to reasoning by cases result and rule-based reasoning as a result, obtaining correlation analysis result and including:
Inquire preset correlation analysis weight；According to correlation analysis weight, reasoning by cases result and rule-based reasoning result are carried out
Weighting processing, obtains correlation analysis result.
In the present embodiment, by preset weight, reasoning by cases result and rule-based reasoning result is weighted and is handled
To correlation analysis result.Specifically, inquire preset correlation analysis weight, correlation analysis weight according to actual needs into
Row setting, to embody the significance level of reasoning by cases result and rule-based reasoning result.According to correlation analysis weight, case is pushed away
Reason result and rule-based reasoning result are weighted processing, obtain correlation analysis result according to weighting processing result.
In one embodiment, generating abnormal alarm message according to correlation analysis result includes: according to correlation analysis
As a result device exception information is obtained；Determine the corresponding exception handling information of device exception information；According to device exception information and different
Often processing information generates abnormal alarm message.
After obtaining correlation analysis result, further generates abnormal alarm message and be sent in alert process node, with
So that the dispatcher of alert process node is carried out unit exception processing online, such as carries out Abnormality remove processing.The present embodiment
In, device exception information is obtained according to correlation analysis result, i.e., specific equipment fault situation, further according to device exception information
It determines corresponding exception handling information, i.e., determines the troubleshooting strategy being directed to according to equipment fault situation, and different according to equipment
Normal information and exception handling information generate abnormal alarm message.Specifically, unit exception letter is obtained according to correlation analysis result
Breath, device exception information can be the equipment fault diagnosis result of the equipment.According to the device exception information, corresponding place is determined
Reason strategy, that is, determine corresponding exception handling information.Again according to device exception information and exception handling information, generates abnormal alarm and disappear
Breath.It include equipment fault diagnosis result and corresponding troubleshooting strategy in abnormal alarm message.It will be under abnormal alarm message
After being sent to preset alert process node, abnormality processing is carried out to equipment according to abnormal alarm message by alert process node, from
And realize the efficient process to equipment fault, it is ensured that the normal operation of equipment.
In one embodiment, above equipment abnormality eliminating method is realized by regulation integral system.As shown in figure 5,
The regulation integral system uses hierarchical structure and modularized design, including data collection layer, analysis application layer and user management
Three level of layer.Wherein, data collection layer realizes real time data and historical data management, specifically includes real-time database and history library,
The equipment of all acquisitions is all stored in the data collection layer.Specifically, static historical data and real-time data memory are in data
Acquisition layer, analysis application layer obtain real time data, realize the Intelligent treatment of information, be as a result presented to the user and be stored in database
In, then user's on-line decision when needing to exchange message with application layer as a result, can also interact.Application layer is analyzed to realize
Real time monitoring and intelligent optimization, automatic mode identification, information correlation analysis and the functions such as diagnosis and aid decision support；User's pipe
Reason layer can be interacted with analysis application layer, carried out decision-making by dispatcher and carried out human-computer interaction by controller.The tune
Control integral system is capable of handling real-time device warning message, helps dispatcher to make a policy, will improve dispatching control center
Monitoring and the abnormal ability with failure of processing equipment, promote power scheduling decision system to turn to intelligence from analysis, so that it is guaranteed that
Safe operation of electric network, it is stable and efficient.
Regulate and control integral system by real-time messages receiving subsystem, message category processing subsystem, identification warning message
Four subsystem compositions such as system and abnormal alarm processing subsystem.Wherein, message sink subsystem is for obtaining monitoring of tools
Information；Message category processing subsystem obtains pretreatment monitoring information, and will be pre- for pre-processing to monitoring of tools information
Monitoring information is handled as monitoring of tools information and carries out subsequent processing；Identify that warning message subsystem is used for from the monitoring of tools
Extract equipment warning message in information can also identify the fault message of future malfunction diagnostic system；Abnormal alarm handles subsystem
System is the core of entire regulation integral system, other for the corresponding processing priority of the operating mode according to locating for equipment, to setting
Standby warning message carries out correlation analysis, generates abnormal alarm message further according to correlation analysis result, is disappeared by abnormal alarm
Breath control alert process node carries out abnormality processing to equipment.
Specifically, abnormal alarm processing subsystem based in 61970 standard of IEC 61850 logical node of IEC extend two
Secondary device modeling developing obtains.Further, as shown in fig. 6, by the way that logical node (Logical in IEC 61850 will be met
Node, LN) Protection LN be added to the Protection Equipment (protection equipment) in 61970 standard of IEC
Position, and according to the child node of the extension of IEC 61850 LN；Creation Protection LN and measuring equipment and breaker are associated with,
And outputting and inputting respectively as LN, obtain 61970 extended model of IEC.
In a concrete application, the results are shown in Table 1 for correlation analysis,
Table 1
Integration diagnosis effectively can be carried out to equipment alarm information by correlation analysis, so as to timely before accident occurs
Carry out unit exception processing, it is ensured that the normal operation of network system.
Regulation integral system provided in this embodiment can be embedded into current EMS (Energy Management
System, electric energy management system) in system, organically integrates and cooperate, there is integration；It can obtain more comprehensively
Data source, when such as following steady state data and fault data, system may be that fault diagnosis system or other systems retain
Part of interface is with good expansibility；Grid equipment can be analyzed and diagnosed with the importance of automatic identification warning message
Exception information, provide for dispatcher and currently most pay close attention to, the information of most critical, be dispatcher decision save valuable time；
It can be the difference of website with the weather conditions (including normal and two kinds of weather conditions of typhoon) of automatic identification substation affiliated area
Different processing modes is arranged in warning message in real time, spontaneous strong；When the structure or equipment of grid change, system can be with
Real-time update grid model, the Intelligent treatment without will affect warning message, system maintainability are strong.
The present embodiment regulates and controls integral system on the basis of existing EMS, and system extends secondary device modeling, equipment event
Hinder the specially treated of device failure alert in the correlation analysis and diagnosis typhoon case of warning message, the function such as aid decision support
Energy.It not only may be implemented to realize learning state to the real-time intelligent online processing of system alarm information and decision support
The playback of the history warning message of lower processing.Meanwhile the system not only can carry out intellectual analysis to unit exception warning message
And decision support, it realizes the integration of regional power grid scheduling controlling, may also adapt to other areas or even provincial power network equipment fault
Intellectual analysis.Compared with conventional treatment systems, the accident treatment time will be greatly reduced, provide abundant intelligence in real time for dispatcher
Decision support promote the further development of comprehensive operation managing so that the safe and high quality economic stability of power grid be protected to run.
It should be understood that although each step in the flow chart of Fig. 2,3 and 4 is successively shown according to the instruction of arrow,
But these steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly state otherwise herein, these
There is no stringent sequences to limit for the execution of step, these steps can execute in other order.Moreover, in Fig. 2,3 and 4
At least part step may include that perhaps these sub-steps of multiple stages or stage are not necessarily same to multiple sub-steps
One moment executed completion, but can execute at different times, and the execution in these sub-steps or stage sequence is also not necessarily
Be successively carry out, but can at least part of the sub-step or stage of other steps or other steps in turn or
Alternately execute.
In one embodiment, as shown in fig. 7, providing a kind of unit exception processing unit, comprising: monitoring information obtains
At module 701, warning message extraction module 703, priority level determining module 705, correlating module 707 and unit exception
Manage module 709, in which:
Monitoring information obtains module 701, for obtaining monitoring of tools information；
Warning message extraction module 703, for the extract equipment warning message from monitoring of tools information；
Priority level determining module 705 for determining operating mode locating for equipment, and is determined according to operating mode and is corresponded to
Processing priority it is other；
Correlating module 707 carries out correlation analysis to equipment alarm information for other according to processing priority,
Obtain correlation analysis result；
Unit exception processing module 709 for generating abnormal alarm message according to correlation analysis result, and sends exception
Warning message to preset alert process node, alert process node carries out abnormality processing to equipment according to abnormal alarm message.
It in one embodiment, further include Expert Rules module, preprocessing module and monitoring information update module, in which:
Expert Rules module, for inquiring preset experts database rule；Preprocessing module, for regular according to experts database, to Supervision
Control information is pre-processed, and pretreatment monitoring information is obtained；Monitoring information update module, for monitoring information conduct will to be pre-processed
Monitoring of tools information.
In one embodiment, warning message extraction module 703 includes key element, classifying rules unit, matching list
Member and warning message unit, in which: key element, for extracting monitoring information keyword from monitoring of tools information；Classification
Rules unit, for inquiring preset monitoring information classifying rules；Matching unit, for believing monitoring information keyword and monitoring
Breath classifying rules is matched, and matching result is obtained；Warning message unit is used for according to matching result, from monitoring of tools information
Middle extract equipment warning message.
In one embodiment, priority level determining module 705 includes weather information unit, operating mode unit and rank
Determination unit, in which: weather information unit, for obtaining the weather information of region locating for equipment；Operating mode unit is used for root
Operating mode locating for equipment is determined according to weather information；Level deciding unit is used for according to preset mode classes mapping ruler,
Determine that the corresponding processing priority of operating mode is other.
In one embodiment, correlating module 707 includes sequencing unit, reasoning processing unit and correlation analysis
Unit, in which: equipment alarm information is carried out priority level sequence, reported by sequencing unit for other according to processing priority
Alert processing sequence；Reasoning processing unit, for according to alert process sequence, to equipment alarm information carry out reasoning by cases processing and
Rule-based reasoning processing, respectively obtains reasoning by cases result and rule-based reasoning result；Dependency analysis unit, for being pushed away according to case
Result and rule-based reasoning are managed as a result, obtaining correlation analysis result.
In one embodiment, dependency analysis unit includes weight subelement and related subunits, in which: weight
Unit and related subunits, for inquiring preset correlation analysis weight；Related subunits, for according to correlation point
Weight is analysed, processing is weighted to reasoning by cases result and rule-based reasoning result, obtains correlation analysis result.
In one embodiment, unit exception processing module 709 includes exception information determination unit, the determining list of processing information
Member and warning message unit, in which: exception information determination unit, for obtaining unit exception letter according to correlation analysis result
Breath；Information determination unit is handled, for determining the corresponding exception handling information of device exception information；Warning message unit, is used for
According to device exception information and exception handling information, abnormal alarm message is generated.
Specific about unit exception processing unit limits the limit that may refer to above for unit exception processing method
Fixed, details are not described herein.Modules in above equipment exception handling device can fully or partially through software, hardware and its
Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with
It is stored in the memory in computer equipment in a software form, in order to which processor calls the above modules of execution corresponding
Operation.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 8.The computer equipment includes processor, memory and the network interface connected by system bus.
Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory of the computer equipment includes non-easy
The property lost storage medium, built-in storage.The non-volatile memory medium is stored with operating system and computer program.The built-in storage
Operation for operating system and computer program in non-volatile memory medium provides environment.The network of the computer equipment connects
Mouth with external terminal by network connection for being communicated.To realize that a kind of equipment is different when the computer program is executed by processor
Normal processing method.
It will be understood by those skilled in the art that structure shown in Fig. 8, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
Obtain monitoring of tools information；
The extract equipment warning message from monitoring of tools information；
It determines operating mode locating for equipment, and determines that corresponding processing priority is other according to operating mode；
It is other according to processing priority, correlation analysis is carried out to equipment alarm information, obtains correlation analysis result；
Abnormal alarm message is generated according to correlation analysis result, and sends abnormal alarm message to preset alert process
Node, alert process node carry out abnormality processing to equipment according to abnormal alarm message.
In one embodiment, inquiry preset experts database is also performed the steps of when processor executes computer program
Rule；According to experts database rule, monitoring of tools information is pre-processed, obtains pretreatment monitoring information；Pretreatment is monitored
Information is as monitoring of tools information.
In one embodiment, it is also performed the steps of from monitoring of tools information when processor executes computer program
Extract monitoring information keyword；Inquire preset monitoring information classifying rules；Monitoring information keyword and monitoring information are classified
Rule is matched, and matching result is obtained；According to matching result, the extract equipment warning message from monitoring of tools information.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains region locating for equipment
Weather information；According to weather information determine equipment locating for operating mode；According to preset mode classes mapping ruler, determine
The corresponding processing priority of operating mode is other.
In one embodiment, processor execute computer program when also perform the steps of it is other according to processing priority,
Equipment alarm information is subjected to priority level sequence, obtains alert process sequence；According to alert process sequence, equipment alarm is believed
Breath carries out reasoning by cases processing and rule-based reasoning processing, respectively obtains reasoning by cases result and rule-based reasoning result；According to case
The reasoning results and rule-based reasoning are as a result, obtain correlation analysis result.
In one embodiment, inquiry preset correlation is also performed the steps of when processor executes computer program
Analytical weight；According to correlation analysis weight, processing is weighted to reasoning by cases result and rule-based reasoning result, obtains correlation
Property analysis result.
In one embodiment, it also performs the steps of when processor executes computer program according to correlation analysis knot
Fruit obtains device exception information；Determine the corresponding exception handling information of device exception information；According to device exception information and exception
Information is handled, abnormal alarm message is generated.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Obtain monitoring of tools information；
The extract equipment warning message from monitoring of tools information；
It determines operating mode locating for equipment, and determines that corresponding processing priority is other according to operating mode；
It is other according to processing priority, correlation analysis is carried out to equipment alarm information, obtains correlation analysis result；
Abnormal alarm message is generated according to correlation analysis result, and sends abnormal alarm message to preset alert process
Node, alert process node carry out abnormality processing to equipment according to abnormal alarm message.
In one embodiment, inquiry preset expert is also performed the steps of when computer program is executed by processor
Library rule；According to experts database rule, monitoring of tools information is pre-processed, obtains pretreatment monitoring information；Pretreatment is supervised
Information is controlled as monitoring of tools information.
In one embodiment, it is also performed the steps of when computer program is executed by processor from monitoring of tools information
Middle extraction monitoring information keyword；Inquire preset monitoring information classifying rules；By monitoring information keyword and monitoring information point
Rule-like is matched, and matching result is obtained；According to matching result, the extract equipment warning message from monitoring of tools information.
In one embodiment, it is also performed the steps of when computer program is executed by processor and obtains the locating ground of equipment
The weather information in domain；According to weather information determine equipment locating for operating mode；According to preset mode classes mapping ruler, really
It is other to determine the corresponding processing priority of operating mode.
In one embodiment, it also performs the steps of when computer program is executed by processor according to processing priority
Not, equipment alarm information is subjected to priority level sequence, obtains alert process sequence；According to alert process sequence, to equipment report
Alert information carries out reasoning by cases processing and rule-based reasoning processing, respectively obtains reasoning by cases result and rule-based reasoning result；According to
Reasoning by cases result and rule-based reasoning are as a result, obtain correlation analysis result.
In one embodiment, inquiry preset correlation is also performed the steps of when computer program is executed by processor
Property analytical weight；According to correlation analysis weight, processing is weighted to reasoning by cases result and rule-based reasoning result, obtains phase
Closing property analysis result.
In one embodiment, it also performs the steps of when computer program is executed by processor according to correlation analysis
As a result device exception information is obtained；Determine the corresponding exception handling information of device exception information；According to device exception information and different
Often processing information generates abnormal alarm message.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of unit exception processing method, which comprises
Obtain monitoring of tools information；
The extract equipment warning message from the monitoring of tools information；
It determines operating mode locating for equipment, and determines that corresponding processing priority is other according to the operation mode；
It is other according to the processing priority, correlation analysis is carried out to the equipment alarm information, obtains correlation analysis result；
Abnormal alarm message is generated according to the correlation analysis result, and sends the abnormal alarm message to preset alarm
Node is handled, the alert process node carries out abnormality processing to the equipment according to the abnormal alarm message.
2. the method according to claim 1, wherein after the acquisition monitoring of tools information, further includes:
Inquire preset experts database rule；
According to the experts database rule, the monitoring of tools information is pre-processed, obtains pretreatment monitoring information；
Using the pretreatment monitoring information as the monitoring of tools information.
3. the method according to claim 1, wherein the extract equipment from the monitoring of tools information is alarmed
Information includes:
Monitoring information keyword is extracted from the monitoring of tools information；
Inquire preset monitoring information classifying rules；
The monitoring information keyword and the monitoring information classifying rules are matched, matching result is obtained；
According to the matching result, the extract equipment warning message from the monitoring of tools information.
4. the method according to claim 1, wherein operating mode locating for the determining equipment, and according to institute
It states operating mode and determines that corresponding processing priority does not include:
Obtain the weather information of region locating for equipment；
According to the weather information determine the equipment locating for operating mode；
According to preset mode classes mapping ruler, determine that the corresponding processing priority of the operating mode is other.
5. the method according to claim 1, wherein described other according to the processing priority, to the equipment
Warning message carries out correlation analysis, and obtaining correlation analysis result includes:
It is other according to the processing priority, the equipment alarm information is subjected to priority level sequence, obtains alert process sequence；
According to the alert process sequence, reasoning by cases processing is carried out to the equipment alarm information and rule-based reasoning is handled, point
Reasoning by cases result and rule-based reasoning result are not obtained；
According to the reasoning by cases result and the rule-based reasoning as a result, obtaining correlation analysis result.
6. according to the method described in claim 5, it is characterized in that, described push away according to the reasoning by cases result and the rule
Reason is as a result, obtaining correlation analysis result and including:
Inquire preset correlation analysis weight；
According to the correlation analysis weight, processing is weighted to the reasoning by cases result and the rule-based reasoning result,
Obtain correlation analysis result.
7. according to claim 1 to method described in 6 any one, which is characterized in that described according to the correlation analysis knot
Fruit generates abnormal alarm message
Device exception information is obtained according to the correlation analysis result；
Determine the corresponding exception handling information of the device exception information；
According to the device exception information and the exception handling information, abnormal alarm message is generated.
8. a kind of unit exception processing unit, which is characterized in that described device includes:
Monitoring information obtains module, for obtaining monitoring of tools information；
Warning message extraction module, for the extract equipment warning message from the monitoring of tools information；
Priority level determining module for determining operating mode locating for equipment, and determines corresponding according to the operation mode
Processing priority is other；
Correlating module carries out correlation analysis to the equipment alarm information for other according to the processing priority,
Obtain correlation analysis result；
Unit exception processing module for generating abnormal alarm message according to the correlation analysis result, and is sent described different
Normal warning message is to preset alert process node, and the alert process node is according to the abnormal alarm message to the equipment
Carry out abnormality processing.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
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Effective date of registration: 20200923 Address after: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Address before: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Applicant before: GUANGZHOU POWER SUPPLY Co.,Ltd. |
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Application publication date: 20190510 |