CN106200615B - A kind of intelligent track-traffic early warning implementation method based on incidence relation - Google Patents
A kind of intelligent track-traffic early warning implementation method based on incidence relation Download PDFInfo
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- CN106200615B CN106200615B CN201610562812.4A CN201610562812A CN106200615B CN 106200615 B CN106200615 B CN 106200615B CN 201610562812 A CN201610562812 A CN 201610562812A CN 106200615 B CN106200615 B CN 106200615B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
- G05B23/0229—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions knowledge based, e.g. expert systems; genetic algorithms
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0245—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
- G05B23/0248—Causal models, e.g. fault tree; digraphs; qualitative physics
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Abstract
The invention discloses a kind of intelligent track-traffic early warning systems and implementation method based on incidence relation, and the first correlation rule implications is generated according to the relationship between the minimal cut set of fault tree and top event；The relationship in history library between historical data is excavated using Data Mining Tools, generates the second correlation rule implications；Expert evaluation system filters out third correlation rule implications, and sets fault rate, the extent of injury, alarm level and alarm threshold value；The each node status information of background service module cyclical process；Finally by human-computer interaction interface early warning.The present invention solves the problems, such as several trouble point intelligent early-warnings with incidence relation, prevents the further chain reaction of failure；Quantitative change to qualitative change process can clearly be showed, warning information is correctly timely；Incidence relation between the ground handling failure that holds water improves the reliability of warning information and rich, the safety of rail traffic is made to establish on the basis of Initiative Defense.
Description
Technical field
The invention belongs to field of urban rail more particularly to a kind of intelligent track-traffic early warning based on incidence relation
System and implementation method.
Background technology
With the development of economy, rail traffic cause quickly develops.The normal operation of rail traffic be unable to do without each system
System is worked in concert, but the integrated or interconnection of these systems is so that bring the safety of whole system new challenge, system
Between complicated incidence relation, not only increase the intractability of system, while the generation for also increasing the system failure is general
Rate.Practice have shown that several isolated trouble points are although influence very little, but if there are certain incidence relation and not having between it
It is reasonably handled, then may carry out immeasurable harm to Rail Transit System safety belt.The pass of the generation of this harm
Key is whether the incidence relation of multiple events true, if we trouble point incidence relation not set up before, will therefore
The condition that the incidence relation of barrier point is set up prevents, it will be able to prevent the further chain reaction brought of failure.In this way, we
It can endanger and exclude in advance before incidence relation is set up, so as to establish the safety of rail traffic on the basis of Initiative Defense
On.
Alarm system at present only after failure generation, is warned the equipment or is set in a manner of entity or computer pel
Failure has occurred in standby point, passive without further prompting and the status information of other associated trouble points of the trouble point, this method
It is single, do not embody the characteristics such as trouble point sequential, it is impossible to the system more applied suitable for the huge multistage of rail traffic.
Invention content
Goal of the invention：To solve asking for several trouble point intelligent early-warnings with incidence relation of the existing technology
Topic, the present invention provide a kind of intelligent track-traffic early warning implementation method based on incidence relation.
It is a further object of the present invention to provide a kind of intelligent track-traffic early warning systems of incidence relation.
Technical solution：The present invention provides a kind of intelligent track-traffic early warning implementation method based on incidence relation, including with
Lower step：
(1) fault tree is established, calculates the minimal cut set of fault tree, the fault tree includes top event, passes through minimal cut set
Relationship between top event generates the first correlation rule implications；
(2) history library is provided, the relationship between the historical data in history library is excavated using Data Mining Tools, according to institute
The relationship stated between historical data generates the second correlation rule implications；
(3) expert evaluation system is established, the expert evaluation system is advised from the first correlation rule implications and the second association
Third correlation rule is then filtered out in implications, the implications for defining third correlation rule isWherein A3 is third
The set of correlation rule causing event, B3 are the set of third correlation rule result event, the equal energy of event in the A3 and B3
Be triggered and be certain to occur, in the A3 event number be more than 1, and in A3 all events generation consequence be less than B3 in it is single
The consequence that event generates；For third correlation rule setting fault rate, the extent of injury, alarm level and alarm threshold value；
(4) real-time database is provided, the real-time database includes the delta data of Rail Transit System and periodically total evidence, institute
It states delta data and periodically totally according to the property value for equipment in Rail Transit System, background service module receives the variation
Data and periodically total evidence, and according to the status information of each node of third correlation rule cyclical process；
(5) human-computer interaction interface receives the status information, passes through the state of early warning window real-time display equipment.
A kind of intelligent track-traffic early warning system based on incidence relation provided by the invention, including Data Mining Tools,
Expert evaluation system, background service module and man-machine interface, the Data Mining Tools are used to excavate the pass between historical data
System；The expert evaluation system is used to screen correlation rule；The background service module is used to handle the state letter of each node
Breath；The man-machine interface is used to show warning information.
Advantageous effect：Compare the prior art, and a kind of intelligent track-traffic based on incidence relation provided by the invention is pre-
Alert implementation method solves the problems, such as several trouble point intelligent early-warnings with incidence relation, prevents the further chain of failure
Reaction；Using the correlation rule relationship between several failures, by expert evaluation system from the first correlation rule implications and
Third correlation rule implications is filtered out in two correlation rule implications, clearly showing failure quantitative change by third correlation rule arrives
The process of qualitative change, according to third correlation rule to the delta data of Rail Transit System and periodically totally according to analyzing, just
Warning information is really sent out in time, and the incidence relation between the ground handling failure that holds water improves the reliability of warning information
With it is rich, make rail traffic safety establish on the basis of Initiative Defense.
A kind of intelligent track-traffic early warning system based on incidence relation provided by the invention, passes through Data Mining Tools
Setting excavates the relationship between historical data in history library, manpower is greatly saved；Expert evaluation system carries out correlation rule
Screening, makes the correlation rule after screening more accurate, using the correlation rule after screening as foundation, handles the change of Rail Transit System
Change data and periodically total evidence, correctly can timely send out warning information, can be operation by the setting of assistant window
Personnel provide intelligent decision information, and the personnel of being conveniently operated are operated, time saving and energy saving.
Description of the drawings
Fig. 1 is failure quantitative change figure；
Fig. 2 is the intelligent track-traffic early warning system work flow diagram based on incidence relation.
Specific embodiment
With reference to the accompanying drawings and detailed description, the present invention will be further described.
A kind of intelligent track-traffic early warning system based on incidence relation, including Data Mining Tools, expert evaluation system,
Background service module and man-machine interface, the Data Mining Tools are used to excavate the relationship between historical data；The expert comments
System is estimated for screening correlation rule；The background service module is used to handle the status information of each node；The man-machine boundary
Face is for showing warning information, and including early warning window and assistant window, the early warning window is used for early warning, and the assistant window is used
In display intelligent decision information.
As shown in Figure 1, several processes for influencing smaller trouble points and gradually occurring, be exactly some more important trouble point from
The process of quantitative change to qualitative change, so we carry out early warning using this process to trouble point, using thing does not occur in implications
The probability of part represents the grade of early warning；During equally gradually occurring in several smaller trouble points of influence, as long as protection
Nonevent trouble point, with regard to the further chain reaction of failure can be protected.
A kind of intelligent track-traffic early warning implementation method based on incidence relation, includes the following steps：
(1) fault tree is established, calculates the minimal cut set of fault tree, the fault tree includes top event, passes through minimal cut set
Relationship between top event generates the first correlation rule implications.
The fault tree generates the first correlation rule implications especially by following methods：With in IEC 61131-3 standards
The module of FBD figure definition is source, and IEC 61131-3 standards are expanded, and shows that event and logic are closed with function module table
It is that the incidence relation between line expression event makes functional diagram.Fault tree is described as the reality in specific computer by functional diagram
Body so as to be integrated into commercial library, calculates through minimal cut set algorithm and generates rational first correlation rule.
First correlation rule meets the following conditions：If I={ i1,i2,...,imBe all events set.If
The relevant data D of task is the set of db transaction, wherein each affairs T is the set of item so thatIf A1 is one
A item collection, affairs T include A1, have and only haveFirst correlation rule implication be shaped likeImplications, whereinAnd A1 ∩ B1=φ.A1 is the set of the first correlation rule causing event, and B1 is the first correlation rule
The set of result event.
(2) history library is provided, the relationship between the historical data in history library is excavated using Data Mining Tools, it is described to go through
Shi Ku is the data transferred from city rail traffic command center system, and the second correlation rule is generated according to the relationship between historical data
Implications.
The second correlation rule implications meets the following conditions：If I={ i1,i2,...,imBe item set.If
The relevant data D of task is the set of db transaction, wherein each affairs T is the set of item so thatIf A2 is one
A item collection, affairs T include A2, have and only haveSecond correlation rule implications be shaped likeImplications,
InAnd A2 ∩ B2=φ.A2 is the set of the second correlation rule causing event, and B2 is the second association
The set of rules results event.
(3) expert evaluation system is established, the expert evaluation system is advised from the first correlation rule implications and the second association
Third correlation rule is then filtered out in implications, the implications for defining third correlation rule isWherein, A3 is third
The set of correlation rule causing event, B3 are the set of third correlation rule result event；The equal energy of event in the A3 and B3
Be triggered and be certain to occur, in the A3 event number be more than 1, and in A3 all events generation consequence be less than B3 in it is single
The consequence that event generates；For third correlation rule setting fault rate, the extent of injury, alarm level and alarm threshold value.
Expert evaluation system screens third correlation rule, and main principle is as follows：(1) select all elementary events that can be touched
It sends out and is certain to the correlation rule occurred, because event cannot be triggered, logical relation cannot be transmitted automatically, can not meet and be
System automation requirement.(2) third correlation rule implicationsIt needs to meet following two conditions：Event number is big in A3
In 1, if only there are one event a in A3, after a occurs, event will occur in B3, and the effect of early warning is not achieved；Institute in A3
The generation consequence for having event is less than the consequence that individual event generates in B3, for embodying the process that quantitative change causes qualitative change.Secondly root
According to experience and historical data for information such as third correlation rule setting fault rate, alarm level, alarm threshold values.Pass through
Expert evaluation system filters out third correlation rule implications, and data information is divided according to third correlation rule implications
Analysis, accurately and timely sends out warning information, the incidence relation between the ground handling failure that holds water.
(4) correlation rule table is drawn according to third correlation rule implications, and the node handled as needed draws node
Information table background service module；Read the content of correlation rule table and informational table of nodes；There is provided real-time database, the real-time database be from
City rail traffic command centre transfers, and real-time database includes the delta data of Rail Transit System and periodically total evidence, variation
Data refer to the data that can be just uploaded when data change, and periodically total evidence is the consistency in order to ensure data value, all
Phase property uploads all information, delta data and the periodically total property value according to for equipment in Rail Transit System.From the background
Service module receives the delta data and periodically total evidence, according to the status information of each node of correlation rule list processing.
(5) human-computer interaction interface receives the status information, and passes through the state of early warning window real-time display equipment, pair event
Barrier carries out early warning step by step；Human-computer interaction interface further includes intelligent assistant window, can show intelligent decision information.
The intelligent early-warning function to the early warning step by step of failure mainly by showing failure mistake from quantitative change to qualitative change
Journey represents the process of qualitative change with the data of quantization；Intelligent miscellaneous function is from the angle of third correlation rule, is carried for operator
For the intelligent decision information that current time is best.
The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, although with reference to above-described embodiment pair
The present invention is described in detail, and the those of ordinary skill in the field should understand that：It still can be to the specific of the present invention
Embodiment, which is modified, either replaces and on an equal basis without departing from any modification of spirit and scope of the invention or equivalent replacement,
It is intended to be within the scope of the claims of the invention.
Claims (7)
1. a kind of intelligent track-traffic early warning implementation method based on incidence relation, which is characterized in that include the following steps：
(1) fault tree is established, calculates the minimal cut set of fault tree, the fault tree includes top event, passes through minimal cut set and top
Relationship between event generates the first correlation rule implications；
(2) history library is provided, the relationship between the historical data in history library is excavated using Data Mining Tools, is gone through according to described
Relationship between history data generates the second correlation rule implications；
(3) expert evaluation system is established, the expert evaluation system accumulates from the first correlation rule implications and the second correlation rule
Third correlation rule is filtered out in culvert formula, the implications for defining third correlation rule isWherein A3 is third association
The set of regular causing event, B3 are the set of third correlation rule result event, and the event in the A3 and B3 can be touched
It sends out and is certain to occur, event number is more than 1 in the A3, and the generation consequence of all events is less than individual event in B3 in A3
The consequence of generation；For third correlation rule setting fault rate, the extent of injury, alarm level and alarm threshold value；
(4) real-time database is provided, the real-time database includes the delta data of Rail Transit System and periodically total evidence, the change
Change data and periodically totally according to the property value for equipment in Rail Transit System, background service module receives the delta data
With periodically total evidence, and according to the status information of each node of third correlation rule cyclical process；
(5) human-computer interaction interface receives the status information, passes through the state of early warning window real-time display equipment.
2. the intelligent track-traffic early warning implementation method according to claim 1 based on incidence relation, which is characterized in that institute
The method that step (1) generates the first correlation rule implications is stated to include：Functional diagram, the functional diagram are drawn according to the fault tree
Including function module and line, the function module represents event and logical relation, the incidence relation between line expression event；It is described
Fault tree is described as the entity in specific computer by functional diagram, then generates the first correlation rule using minimal cut set algorithm
Implications.
3. the intelligent track-traffic early warning implementation method according to claim 1 or 2 based on incidence relation, feature exist
In the first correlation rule implications of the step (1) isAnd A1 ∩ B1=φ, wherein I
={ i1, i2..., imBe all events set, A1 be the first correlation rule causing event set, B1 for first association advise
The then set of result event.
4. the intelligent track-traffic early warning implementation method according to claim 1 or 2 based on incidence relation, feature exist
In the second correlation rule implications of the step (2) isAnd A2 ∩ B2=φ, wherein
I={ i1, i2..., imBe all events set, A2 be the second correlation rule causing event set, B2 for second association
The set of rules results event.
5. the intelligent track-traffic early warning implementation method according to claim 1 or 2 based on incidence relation, feature exist
In the early warning window in the step (5) carries out early warning step by step to failure.
6. the intelligent track-traffic early warning implementation method according to claim 1 or 2 based on incidence relation, feature exist
In the human-computer interaction interface in the step (5) further includes intelligent assistant window, and the intelligence assistant window is used to provide intelligence
Decision information.
7. the intelligent track-traffic early warning implementation method according to claim 1 or 2 based on incidence relation, feature exist
In in the step (4), drawing correlation rule table, and the section handled as needed according to third correlation rule implications first
Point-rendering informational table of nodes, the background service module read the content of correlation rule table and informational table of nodes；Background service mould
Block receives the delta data and periodically total evidence, according to the status information of each node of correlation rule list processing.
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Families Citing this family (6)
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| JP2018120456A (en) * | 2017-01-26 | 2018-08-02 | 三菱日立パワーシステムズ株式会社 | Alarm display system and alarm display method |
| CN109632349A (en) * | 2017-10-09 | 2019-04-16 | 株洲中车时代电气股份有限公司 | A kind of method and system of onboard system early warning |
| CN108995675B (en) * | 2018-06-28 | 2020-07-24 | 上海工程技术大学 | Intelligent rail transit operation risk identification early warning system and method |
| US11232096B2 (en) * | 2018-09-06 | 2022-01-25 | Optumsoft, Inc. | Automatic generation of an efficient rule set implementation |
| CN109697455B (en) * | 2018-11-14 | 2020-08-04 | 清华大学 | Fault diagnosis method and device for distribution network switch equipment |
| CN115374438A (en) * | 2022-08-23 | 2022-11-22 | 中国电信股份有限公司 | Application program security defense method and device, storage medium and electronic equipment |
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