CN104978837B - A kind of warning system and its implementation of user oriented end electric substation - Google Patents

A kind of warning system and its implementation of user oriented end electric substation Download PDF

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Publication number
CN104978837B
CN104978837B CN201510280432.7A CN201510280432A CN104978837B CN 104978837 B CN104978837 B CN 104978837B CN 201510280432 A CN201510280432 A CN 201510280432A CN 104978837 B CN104978837 B CN 104978837B
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China
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alarm
warning
data
unit
rule
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CN201510280432.7A
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Chinese (zh)
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CN104978837A (en
Inventor
郭晓昌
李瑛莉
潘晴宇
吴鹏程
李雅娟
沈清
孙育灵
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苏文电能科技股份有限公司
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18Prevention or correction of operating errors
    • G08B29/185Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system

Abstract

The warning system and its implementation of a kind of user oriented end electric substation of the present invention, diversity data is received by alarm interface unit, alarm configuration unit provides flexible configuration rule, and alarm analysis processing is carried out by alarm analysis unit, raw alarm data after analyzing and processing carries out noise processed using the data mining technology based on decision tree, improves alarm accuracy rate;Using the inference rule the matching analysis based on production, alarm intelligent is realized;Variation, configurable warning output mode are supported, and history is alarmed and carries out statistical analysis;Meet the unattended requirement of user terminal electric substation, release manpower, solve the problems, such as the uneven managerial ability height brought of administrative staff's technology, reduce management cost, penetrated from the closed loop management for monitoring management.

Description

A kind of warning system and its implementation of user oriented end electric substation

Technical field

The present invention relates to field of electric power automation, the warning system of more particularly to a kind of user oriented end electric substation and in fact Existing method.

Background technology

Deepened constantly with the road of power network intellectuality, build and transform Intelligent transformer station/institute's trend of the times, in power network Using " state's tune-net tune-province's tune-city's tune-county's tune " Pyatyi management mode to Wang Nei transformer stations/carry out differentiated control, but big portion Divide the management of user terminal electric substation also to use the traditional approach of labor management, there are a small number of electric substations to pass through " artificial+supervisory control of substation System " combination management.

Labor management mode, which emerges, manages lack of standardization, managerial skills uneven, people because of administrative staff's ability difference Caused by the high and minimum tour vacuum phase of management cost caused by work cost (usual one hour) the problems such as poor real.

At present, user terminal monitoring system of electric substation is to record warning message with log mode, largely without any processing Warning message be promptly sent to monitoring system of electric substation main website so that duty management personnel are at a loss as to what to do;In addition, the system is also Belong to simple monitoring system, it is impossible to form closed loop management with KXG.

The content of the invention

The technical problem to be solved in the present invention is:In order to overcome existing defects in the prior art, become particular for user terminal Electric institute it is unattended the problem of, present invention offer a kind of warning system and its implementation of user oriented end electric substation.

The technical solution adopted for the present invention to solve the technical problems is:A kind of alarm system of user oriented end electric substation System, including

Master/slave Alarm Server, centralized control center's computer room is deployed in, is the home server of warning system;

Master/slave front end processor, centralized control center's computer room is deployed in, the arrangement achieves in distributing user terminal electric substation data set Collection, after collection on give master/slave Alarm Server;

Alert operation station, centralized control center is deployed in, administrative staff are by the work station to distributed user terminal electric substation Monitoring in real time, remote processing is carried out to alarm and is reported and submitted to give the maintenance in a distant place special work;

Show work station again, be deployed in technique center, possess the full powers limit of warning system, the work station provides for warning system It is online to support, prevention and rapid rush-repair warning system failure.

Also include:

Alarm interface unit, the alert data or real time data of external system and external equipment are received, change into inside Alert data structure;

Alarm configuration unit, there is provided the configuration service of the rule of alarm, parameter, output condition, processing mode etc.;

Alarm analysis unit, according to alarm configuration information, the data that alarm interface unit sends over are received, to original number Raw alarm is generated according to analysis is carried out;

Intelligent Merging unit, raw alarm caused by alarm analysis unit are sent to intelligent Merging unit, intelligent merger list Member carries out filtration treatment to raw alarm information;

Alert process unit, including alarming determining, alarm shielding, alarm block, alarm plan processing, alarm knowledge base, Handling suggestion is made a report on to be started with handling process;With

Alarm history data are counted, user are presented to intuitively list, graph mode by alarm statistic unit, Daily paper, monthly magazine, annual report form convenient use personnel system administration is carried out it is of overall importance collect, provide and refer to for the operation of system high efficiency Lead.

The intelligent Merging unit, by the sorting technique of data mining, one is built using the algorithm based on decision tree For the grader of warning message identification, by historical data mining analysis in historical time table, extracting decision rule pair Real time data is handled, and is removed noise information, is obtained a more pure warning message data source;Then using based on production The inference rule the matching analysis of raw formula, considers temporal correlation, topological relation and hierarchical relevance, utilizes rule match The automation and intellectuality of relational implementation warning system.

Also include:

Alarm output unit, there is provided the short message output of alarm, phone output, voice broadcast output, mail output, sound are defeated Go out a variety of way of outputs;

Alarm output unit includes

SMS module unit, including the alarm of SMS module device, automatic short message and SMS platform;With

Phone module unit, including the dialing of voice card device, automatic alarm and voice broadcast.

Also include:The alert process unit, alarm plan are divided into empirical alert process prediction scheme and electron process prediction scheme; Handling process starts docks with external system (ERP, CMS and OA etc.), realizes alert process procedure.

A kind of implementation method of the warning system of described user oriented end electric substation, wherein, the reality of intelligent Merging unit Existing step includes:

Step A:Raw alarm caused by alarm analysis is sent to intelligent Merging unit;

Step B:Intelligent Merging unit carries out filtration treatment to raw alarm information, by the sorting technique of data mining, One grader for warning message identification is built using the algorithm based on decision tree, by history number in historical time table According to mining analysis, extract decision rule and real time data is handled, remove noise information, obtain a more pure report Alert information data source;

Step C:Using the inference rule the matching analysis based on production, temporal correlation, topological relation are considered And hierarchical relevance, utilize the automation and intellectuality of rule match relational implementation warning system.

The invention has the advantages that warning system and its realization side of a kind of user oriented end electric substation of the present invention Method, diversity data being received by alarm interface unit, alarm configuration unit provides flexible configuration rule, and by alarm analysis Unit carries out alarm analysis processing, and the raw alarm data after analyzing and processing is carried out using the data mining technology based on decision tree Noise processed, improve raw alarm accuracy rate;In addition, the network structure of topological point, time rule and level phase are considered Guan Xing, false alarm rate, false alarm rate are effectively reduced, improve alarm accuracy rate;And using the inference rule matching based on production Analysis, realizes alarm intelligent;Variation, configurable warning output mode are supported, and history is alarmed and carries out statistical analysis; Meet the unattended requirement of user terminal electric substation, release manpower, solve the uneven management brought of administrative staff's technology The problem of ability height, management cost is reduced, penetrated from the closed loop management for monitoring management.

Brief description of the drawings

The present invention is further described with reference to the accompanying drawings and examples.

Fig. 1 is embodiment overall structure figure of the warning system of the present invention in user terminal electric substation.

Fig. 2 is the module map of the warning system of the present invention.

Fig. 3 is the flow chart of the alarm analysis of the present invention.

Fig. 4 is the noise processed decision tree diagram in the intelligent Merging unit of the present invention.

Fig. 5 is the reasoning flow chart in the intelligent Merging unit of the present invention.

Fig. 6 is the handling process of the alert process unit of the present invention.

Embodiment

Embodiments of the invention are elaborated below, the present embodiment is lower real premised on technical solution of the present invention Apply, give detailed real-time mode and specific operating process, but protection scope of the present invention is not limited to following embodiments.

Fig. 1 is the overall structure of embodiment, and the present embodiment hardware environment includes:

Master/slave Alarm Server, centralized control center's computer room is deployed in, is the home server of warning system, SM devices and language Sound card device will access Alarm Server.

Master/slave front end processor, centralized control center's computer room is deployed in, the arrangement achieves in distributing user terminal electric substation data set Collection, after collection on give Alarm Server.

Alert operation station, centralized control center is deployed in, centralized management staff is by such work station to distributed user terminal Electric substation monitors in real time, remote processing is carried out to alarm and is reported and submitted to give the maintenance in a distant place special work, such work station quantity is indefinite, root Divided and distributed according to management region.

Show work station again, be deployed in technique center, be the full powers limit of warning system, such work station is mainly alarm system System provides online support, prevention and rapid rush-repair warning system failure.

User terminal electric substation, geographical position is relatively scattered, including primary equipment and secondary device power equipment, communication apparatus, Environmental unit and power-equipment, power equipment are gathered by communication manager, and environmental unit and power-equipment are gathered by PLC, Communication manager and PLC are collected after data using giving front end processor in VPN.

Fig. 2 is the module that warning system includes in embodiment, and this figure illustrates according to data flow:

Alarm configuration module, from type of alarm be divided into displacement alarm, off-limit alarm, it is doomed dead according to alarm, saltus step alarm and frequently Become five major classes of alarm;

Displacement alarm, alarmed caused by quantity of state change, for example excessively stream alarm, infrared intrusion alarm and accident are always believed Number displacement alarm is waited, displacement alarm needs action corresponding to configuration status value (alarm, normal, daily record), action description and delay Time.

Off-limit alarm, it is that analog quantity exceedes and alarmed caused by the threshold values of configuration, for example voltage out-of-limit, power is out-of-limit and temperature It is out-of-limit to wait off-limit alarm, off-limit alarm need to configure higher limit, upper higher limit, lower limit, lower limit and corresponding description information and Delay time.

It is doomed dead according to alarm, be analog quantity it is constant for a long time caused by alarm, it is only necessary to configure the time of doomed dead evidence.

Saltus step is alarmed, and is the amplitude of variation that analog quantity works as time value of collection and the value of last time collection, it is only necessary to configuration variation width Angle value.

Frequency becomes alarm, is that the number that quantity of state changes in setting time exceedes the alarm occurred during setting number, Frequency, which becomes alarm, needs setup time section and number.

Each alarm rule includes warning output configuration, warning period configuration, alarm resource distribution and alert process and matched somebody with somebody The common configuration such as put.

Remote alarm interface module, one kind are the alarm input interfaces based on real-time data collection, and interface variables are data structures, Including state quantity data structure, analog data structure and SOE data structures, another kind of connect based on the input for having produced alarm Mouthful, interface variables are single data structures.

Alarm analysis module, as shown in Figure 3:

By remote alarm interface module, alert data and real time data are obtained, reads alarm configuration storehouse to internal memory;Alert data Raw alarm memory bank is put into after the conversion for adapter of alarming;Real time data first judges whether the data are quantity of states, If quantity of state then carries out displacement alarm analysis according to the configuration of repository, otherwise, out-of-limit report is carried out according to the configuration of repository Alert analysis, the generation raw alarm after analysis, stores and arrives raw alarm memory bank, and the data in raw alarm memory bank are periodically Be persisted in medium.

Intelligent merger module, the part is to carry out filtration treatment to raw alarm information, with unattended operation transformer station collection control The warning message of centring system is sample set S, and sample set includes s data;Class label attribute has m different values, siIt is Class CiIn sample number.Expectation information needed for sample classification is given by

Wherein:PiIt is that arbitrary sample belongs to CiProbability, by si/ s is estimated;Information coding uses binary system.

The entropy of subset is divided into by A or it is expected that information is given by

Wherein, A is testing attribute;V is the number for the different value that A has.

Attribute A has v different value { ai,a2,...,av, S can be divided into v subset { S with attribute A1, S2,...,Sv};SjComprising the sample in S, they have value a on Aj;sijIt is subset SjMiddle class CiSample number.

For giving subset Sj, have:

Wherein, pij=sij/sj, it is sjIn sample belong to class CiProbability.

It is in the coding information that A upper branch obtains:

G (A)=I (s1,s2,...,sm)-E(A)

G (A) is the expectation compression of entropy caused by attribute A value, for attribute A information gain.

Attribute X information gain-ratio is

In formula,Be using attribute X value to data carry out branch obtained from.

The information gain-ratio of each attribute is calculated, the attribute with highest information gain-ratio (i.e. comentropy) elects given collection as Close S testing attribute.A node is created, and is marked with the attribute, branch is created to each value of attribute, sample is continued Division is gone down.

In order to carry out Classification and Identification, the property value that can be concentrated according to the structure of decision tree to data to unknown data object Tested, the paths from the root node of decision tree to leaf node are formed the class prediction to corresponding object, decision-making Tree can be easily converted to classifying rules.

The arthmetic statement that decision tree is formed is as follows:

Algorithm:(Generate_decision_tree)

Input:Training sample, each attribute take discrete values, and the candidate attribute collection for being available for concluding is:attribute_ list。

Output:Decision tree.

Handling process:

1) a node N is created;

If 2) all samples in the node are same category C, return to N and as a leaf node and be labeled as classification C;

If 3) attribute_list is sky, N is returned as a leaf node and labeled as in sample contained by the node The largest number of classifications of classification;

4) the maximum attribute test_attribute of an information gain-ratio is selected from attribute_list;

5) and by node N it is labeled as test_attribute;

6) for each known value a in test_attributei, prepare the sample set that division node N is included:

7) according to test_attribute=aiCondition, a corresponding branch is produced from node N, to represent the test-strips Part;

8) s is setiFor test_attribute=aiThe sample set that condition is obtained;

If 9) siFor sky, then corresponding leaf node is labeled as the largest number of classifications of classification in sample contained by the node;

10) otherwise corresponding leaf node is masked as

Generate_decision_tree(si, attribute_list_test_attribute) and return value.

The stop condition of algorithm recursive operation:All samples of one node are same category.

It is using Voting principle (the minority is subordinate to the majority) that current node is strong if can be used for dividing current sample set without attribute Leaf node is made as, and labeled as the largest number of classifications of classification in sample set contained by current node;

There is no sample to meet test_attribute=ai, then create a leaf node and be marked as current node institute Containing the largest number of classifications of classification in sample set.

The decision tree finally obtained is as shown in Figure 4.

For newly-established decision tree, many branches are all abnormal datas in training sample set (due to noise Etc. reason) construct.For this kind of overfitting problem, the present invention deletes least reliable point using statistical method Branch, to improve the speed of Classification and Identification and the ability of Classification and Identification new data from now on.

Because pre-pruning is difficult to determine rational threshold value, trimming performance consumption is too big afterwards, therefore the present invention is using in advance Trimming can be combined with trimming afterwards, so as to form the pruning method of a mixing, can obtain a more reliable decision-making Tree.

A more pure alert data source has been obtained after decision tree denoising.

Further, it is of the invention by largely in order to which electric substation's quantity of state displacement and more limit information are judged and handled Professional knowledge is come out with production representation, as rule, is stored in system, and per class, alarm has corresponding production rule.

The general type of production rule is:

IF Conditions (precondition) THEN Conclusions (conclusion).

In the present invention, for getting over limit information, it is contemplated that timing caused by alarm, according to time rule, generate reasoning knot By.

For switch changed position information, after confirmation failure topology is put, it is contemplated that network site where equipment and displacement pair Other equipment influences in network, with network topology rule;In view of the recursiveness of warning message, with hierarchical topology rule; In view of timing caused by alarm, with time rule.

Further, the mechanism that the present invention is combined using the positive method of exhaustion and fuzzy reasoning method.It is comprehensive on search strategy Breadth First and depth-first search strategy are used.The basic thought of the search strategy is:

1) reasoning initial conditions are selected;

2) search meets the rule of initial conditions.If finding the rule of the condition of satisfaction, continue following step, otherwise turn to walk Rapid 5;

3) meet that desired rule there are several, system with regard to carrying out reasoning several times respectively;

4) using the reasoning results of this rule as reasoning initial conditions, 3 are gone to step;

5) terminate reasoning, provide reasoning report, it is for reference to provide suggestion.

Reasoning flow is as shown in Figure 5.

Warning output:

Conventional alarm system is different from, alarm is divided into by intelligent alarm system of the present invention according to alarm inference conclusion 6 grades, warning message use the different way of outputs according to different alarm levels.1-5 levels are respectively emergency alarm, thing Therefore alarm, common alarm, non-key alarm and event, the 0th grade is system equipment fault alarm.When alarm occurs, according to intelligence The reasoning results, the present invention support following warning output mode:

1) voice broadcast:Can be with real-time broadcasting warning message by voice module;

2) SMS notification:Warning message is sent to by short message mode by important administrative staff and important operation maintenance personnel;

3) auto dialing:Corresponding management personnel's phone is dialed with liaison mode, by alarm content by phonecasting to pair Side;

4)E-mail:Alarm content is sent to administrative staff by E-mail.

Further, warning output mode of the present invention is configurable, during use only need to according to be actually needed into Row relevant configuration.

Alert process accepts alarm merger module, and whether the warning message generated after merger of alarming has confirmed that, if having confirmed that Then enter untreated alarm list, otherwise into alarm list unconfirmed;Whether alarmed in untreated alarm list will be handled, if Processing is needed then to carry out processing operation, processing includes two ways, and first way is hand filling processing information, second of side Formula is that triggering management process enters alert process flow, processing information is backfilled in full alarm list after processing, for full alarm Alarm in list can carry out alarm shielding, alarm block, alarm plan, alarm knowledge base and alarm coverage operation.

Alarm statistics is counted from three alarm level, device type, type of alarm dimensions, also includes validating that rate, place Reason rate, operation ratio and fault rate are counted, and are that the overall condition of Customer Furnished Equipment is reported, are supported the decision-making of client.

The warning system and method for a kind of user oriented end electric substation provided above the embodiment of the present invention are carried out It is discussed in detail, for those of ordinary skill in the art, according to the thought of the embodiment of the present invention, in embodiment and application There will be changes in scope, in summary, this specification content should not be construed as limiting the invention.

Claims (4)

  1. A kind of 1. warning system of user oriented end electric substation, it is characterised in that:Including
    Master/slave Alarm Server, centralized control center's computer room is deployed in, is the home server of warning system;
    Master/slave front end processor, centralized control center's computer room is deployed in, the arrangement achieves adopted in distributing user terminal electric substation data set Collection, after collection on give master/slave Alarm Server;
    Alert operation station, is deployed in centralized control center, and administrative staff are real-time to distributed user terminal electric substation by the work station Monitoring, remote processing is carried out to alarm and is reported and submitted to give the maintenance in a distant place special work;
    Show work station again, be deployed in technique center, possess the full powers limit of warning system, the work station provides online for warning system Support, prevention and rapid rush-repair warning system failure;
    Alarm interface unit, the alert data or real time data of external system and external equipment are received, change into the alarm of inside Data structure;
    Alarm configuration unit, there is provided the configuration service of the rule of alarm, parameter, output condition, processing mode etc.;
    Alarm analysis unit, according to alarm configuration information, the data that alarm interface unit sends over are received, initial data is entered Row analysis generation raw alarm;
    Intelligent Merging unit, raw alarm caused by alarm analysis unit are sent to intelligent Merging unit, intelligent Merging unit pair Raw alarm information carries out filtration treatment;
    Alert process unit, including alarming determining, alarm shielding, alarm block, alarm plan processing, alarm knowledge base, processing Opinion is made a report on to be started with handling process;
    Alarm statistic unit, alarm history data are counted, user is presented to intuitively list, graph mode, daily paper, Monthly magazine, annual report form convenient use personnel to system administration carry out it is of overall importance collect, provide guidance for the operation of system high efficiency;
    The intelligent Merging unit, by the sorting technique of data mining, build one using the algorithm based on decision tree and be directed to The grader of warning message identification, by historical data mining analysis in historical time table, extracting decision rule to real-time Data are handled, and are removed noise information, are obtained a more pure warning message data source;Then use and be based on production Inference rule the matching analysis, consider temporal correlation, topological relation and hierarchical relevance, utilize rule match relation Realize the automation and intellectuality of warning system;
    For switch changed position information, after confirmation failure topology is put, it is contemplated that network site where equipment and displacement are to network The influence of middle other equipment, with network topology rule;In view of the recursiveness of warning message, with hierarchical topology rule;Examine Timing caused by alarm is considered, with time rule;And the mechanism being combined using the positive method of exhaustion and fuzzy reasoning method, Integrated use breadth First and depth-first search strategy on search strategy.
  2. 2. the warning system of user oriented end electric substation as claimed in claim 1, it is characterised in that:Also include:
    Alarm output unit, there is provided short message output, phone output, voice broadcast output, mail output, the sound output of alarm are more The kind way of output;
    Alarm output unit includes SMS module unit, including the alarm of SMS module device, automatic short message and SMS platform;With
    Phone module unit, including the dialing of voice card device, automatic alarm and voice broadcast.
  3. 3. the warning system of user oriented end electric substation as claimed in claim 1, it is characterised in that:Also include:The alarm Processing unit, alarm plan are divided into empirical alert process prediction scheme and electron process prediction scheme;Handling process starts and external system Docking, realizes alert process procedure.
  4. A kind of 4. implementation method of the warning system of user oriented end electric substation as claimed in claim 1, it is characterised in that:Its In, intelligent Merging unit realizes that step includes:
    Step A:Raw alarm caused by alarm analysis is sent to intelligent Merging unit;
    Step B:Intelligent Merging unit carries out filtration treatment to raw alarm information, by the sorting technique of data mining, uses Algorithm based on decision tree builds a grader for warning message identification, by being dug to historical data in historical time table Pick analysis, extracts decision rule and real time data is handled, and removes noise information, obtains a more pure alarm signal Cease data source;
    Step C:Using the inference rule the matching analysis based on production, temporal correlation, topological relation and layer are considered Secondary correlation, utilize the automation and intellectuality of rule match relational implementation warning system.
CN201510280432.7A 2015-05-27 2015-05-27 A kind of warning system and its implementation of user oriented end electric substation CN104978837B (en)

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CN106933889A (en) * 2015-12-31 2017-07-07 华为技术有限公司 For regular collocation method, display methods and the client screened
CN106403604B (en) * 2016-08-31 2018-06-26 大连华冶联自动化有限公司 A kind of main exhauster of sintering control method
CN107133669A (en) * 2017-07-13 2017-09-05 天津凯发电气股份有限公司 Track traffic synthetic monitoring intelligent short message alarm method
CN108961641A (en) * 2018-07-24 2018-12-07 民航成都电子技术有限责任公司 A method of the reduction capacitor based on classification tree encloses boundary's alarm system false-alarm

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CN102122844B (en) * 2011-03-01 2012-03-21 江苏省电力设计院 Communication network based on sensor and smart substation of expert system
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