CN103903408B - Method for early warning and system are investigated in equipment fault - Google Patents
Method for early warning and system are investigated in equipment fault Download PDFInfo
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- CN103903408B CN103903408B CN201410135401.8A CN201410135401A CN103903408B CN 103903408 B CN103903408 B CN 103903408B CN 201410135401 A CN201410135401 A CN 201410135401A CN 103903408 B CN103903408 B CN 103903408B
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Abstract
A kind of equipment fault investigation method for early warning and system are proposed, belongs to fault detection technique field, methods described includes：Set up fault parameter knowledge base；And fault pre-alarming is carried out according to fault parameter knowledge base and real-time parameter；The fault parameter knowledge base of setting up includes：Import the list of failure corresponding with each equipment；Import the parameter value of each equipment；The time point that the failure occurs is determined for each failure；At the time point occurred according to each failure, obtain the parameter value related to failure of corresponding device；And failure, corresponding device, the parameter value related to failure are stored in fault parameter knowledge base.This method and system solve existing system early warning it is inaccurate and can not Automatic Optimal early-warning parameterses technical problem.
Description
Technical field
The present invention relates to fault detection technique field, more particularly to a kind of equipment fault investigation method for early warning and system.
Background technology
Existing equipment warning system is alarmed based on the sensor element in equipment, part of appliance
Certain index exceed limit value when just alarm, alarm mainly comprising part temperatures rise, hydraulic system pressure height, electric current
The warning message of the superficial phenomena such as size.Warning function is very weak to look for, it is necessary to artificially carry out analysis again according to alarm parameters
Go out the expected defect of presence, warning system provides the setting value that the initial setting limit value of alarm is broad experience, wind power plant operation people
Member needs to integrate many factors such as the weather of itself, weather, type and artificially carries out the limit value setting of oneself.
Fig. 1 a, Fig. 1 b respectively illustrate the Organization Chart and alarm method flow of the existing warning system for wind power plant.
As shown in Figure 1a, wind-force electrical machinery 1-n is connected with information collection apparatus 101, and information collection apparatus 101 is connected with main frame 102, main frame
102 are connected with warning device 103.As shown in Figure 1 b, first, the parameter letter of the collecting device of information collection apparatus 101 such as blower fan
Breath, and the parameter information of collection is sent to main frame 102；Be stored with alarm threshold value in main frame 102, and the alarm threshold value is advance
The value of setting, main frame compares the parameter information and alarm threshold value of equipment, if parameter value exceeds alarm threshold value, by warning device
103 send alarm, otherwise continue collecting device parameter information to circulate progress.As illustrated in figure 1 c, existing warning system has substantially
There are following functions：Collection including warning message, collects the real-time collection information that operational outfit needs to be alarmed；Information parameter
Comparison, the warning message gathered in real time and setting alarm limits carry out size limit value comparison；More the alarm of limit information, right
Collection value beyond limit value carries out alarm, and alarm is carried out using sound, figure, text mode；Warning message historical query, to
Preserved in real time through out-of-limit warning message, user can be according to time inquiring warning message；And alarm limits are set
Determine there is provided the interface set to limit value, the limit value of setting can be applied to the judgement of alarm.
Existing warning system has the disadvantages that：Warning function is very weak.Alarm is entered just for some parameter value
Capable alarm, because blower interior modular construction is complicated, the contact between each part is close, and the defect of a part can cause many
The fluctuating change of individual aspect parameter, will send out the particular location and failure that the progress alarm of single parameter can not position defect merely
At the time of raw.The operations staff with technical ability height specialty, experience very abundant is needed to adjust limit value.The setting of equipment limit value
Limit value does not account for the factors such as weather, season, the height above sea level of locality when dispatching from the factory, and operations staff is needed according to its own geographical
Situation setup parameter, ceaselessly changes the setting of limit value according to the change in season, wind-resources.Artificial empirical early warning does not possess specially
The statistical properties of industry.For the change of certain parameter, lack the real data support foundation of fault pre-alarming system, different experiences
Operations staff may have different fault pre-alarming results, be unfavorable for being formed the unified knowledge base based on long term data.Existing alarm
System extremely lacks in warning function, and the warning message of single parameter directly can not be predicted to the operating condition in future,
The defect for needing artificial analytical equipment to exist, failure predication is carried out according to the operating experience of itself.Parameter limit value can not be according to season
The self-adjusting of the basic production such as section, region factor is, it is necessary to which artificial chronicity participates in adjustment.The disadvantages described above that existing system is present is serious
Influence wind power plant personnel to the operating defect elimination inspection work of equipment, be unfavorable for growth and the production efficiency of equipment service life
Improve, be badly in need of a set of energy of construction using the abundant real-time data base automatic defect in scene is analyzed, the equipment fault of automatic early-warning be detectd
Early warning system is looked into, to realize giving warning in advance for equipment, maintenance planning in advance reaches that equipment service life increases, production efficiency is carried
High purpose.
The content of the invention
In order to overcome problems of the prior art, the present invention proposes a kind of equipment fault investigation method for early warning and is
System.The equipment fault investigation method for early warning includes：Set up fault parameter knowledge base；And according to fault parameter knowledge base and reality
When parameter carry out fault pre-alarming.
According to an aspect of the present invention, the fault parameter knowledge base of setting up includes：Import event corresponding with each equipment
The list of barrier；Import the parameter value of each equipment；The time point that the failure occurs is determined for each failure；Sent out according to each failure
At raw time point, obtain the parameter value related to failure of corresponding device；And by failure, corresponding device, related to failure
Parameter value is stored in fault parameter knowledge base.
According to an aspect of the present invention, it is described that fault pre-alarming bag is carried out according to fault parameter knowledge base and real-time parameter
Include：The various failures of equipment and the related parameter values of failure are obtained from the fault parameter knowledge base；Obtain equipment real-time
Parameter value；Real-time parameter value is compared with the related parameter values；When real-time parameter value is matched with the related parameter values
When, give a warning information.
According to an aspect of the present invention, the list of the failure corresponding with each equipment includes carrying out according to unit type
The failure project of classification.
According to an aspect of the present invention, the parameter value of each each equipment is corresponding with a time point.
According to an aspect of the present invention, it is described to determine that the time point that the failure occurs includes determining to select for each failure
The time point that failure occurs in section of fixing time.
According to an aspect of the present invention, the time point that each failure of the basis occurs, obtain corresponding device with therefore
The related parameter value of barrier includes：It is related to each failure many in predetermined amount of time before obtaining the time point that each failure occurs
Individual parameter value.
According to an aspect of the present invention, the acquisition equipment real-time parameter value includes obtaining equipment within a predetermined period of time
Multiple real-time parameter values；It is described by real-time parameter value and the related parameter values be compared including：By the equipment pre-
The multiple real-time parameter values fixed time in section are made comparisons with the related parameter values of each failure corresponding to the equipment.
According to an aspect of the present invention, when multiple real-time parameter values and the quantity that multiple related parameter values are matched reach it is pre-
When determining threshold value, the real-time parameter value is matched with related parameter values.
According to an aspect of the present invention, the warning message includes source of early warning by the information broken down.
According to an aspect of the present invention, it is described to enter one according to fault parameter knowledge base and real-time parameter progress fault pre-alarming
Step includes：Warning message is stored in warning message database；The method for early warning further comprise evaluate early warning effect with
And optimization fault parameter；Wherein described early warning effect of evaluating includes obtaining the every warning letter stored in warning message database
Breath；Judge whether the failure predicted in every warning message occurs；The judged result whether failure occurs is stored in evaluation
In database；The optimization fault parameter includes obtaining the judged result whether failure occurs from rating database；When described
When judged result indicates that failure does not occur, the related parameter value of failure in adjustment fault parameter knowledge base.
The equipment fault investigation early warning system includes：Module is set up, for setting up fault parameter knowledge base；And early warning
Module, for carrying out fault pre-alarming according to fault parameter knowledge base and real-time parameter.
According to an aspect of the present invention, the module of setting up includes：Failure import unit, for importing and each equipment pair
The list for the failure answered；Parameter value import unit, the parameter value for importing each equipment；Parameter value import unit, for for
Each failure determines the time point that the failure occurs；Parameter value obtaining unit, for the time point occurred according to each failure, is obtained
Obtain the parameter value related to failure of corresponding device；And parameter value memory cell, for by failure, corresponding device and failure
Related parameter value is stored in fault parameter knowledge base.
According to an aspect of the present invention, the warning module includes：Failure acquiring unit, for from the fault parameter
The various failures of equipment and the related parameter values of failure are obtained in knowledge base；Implement parameter acquiring unit, for obtaining equipment
Real-time parameter value；Comparing unit, for real-time parameter value to be compared with the related parameter values；Warning message sends list
Member, for when real-time parameter value is matched with the related parameter values, to give a warning information.
According to an aspect of the present invention, the list of the failure corresponding with each equipment includes carrying out according to unit type
The failure project of classification.
According to an aspect of the present invention, the parameter value of each each equipment is corresponding with a time point.
According to an aspect of the present invention, it is described to determine that the time point that the failure occurs includes determining to select for each failure
The time point that failure occurs in section of fixing time.
According to an aspect of the present invention, the time point that each failure of the basis occurs, obtain corresponding device with therefore
The related parameter value of barrier includes：It is related to each failure many in predetermined amount of time before obtaining the time point that each failure occurs
Individual parameter value.
According to an aspect of the present invention, the acquisition equipment real-time parameter value includes obtaining equipment within a predetermined period of time
Multiple real-time parameter values；It is described by real-time parameter value and the related parameter values be compared including：By the equipment pre-
The multiple real-time parameter values fixed time in section are made comparisons with the related parameter values of each failure corresponding to the equipment.
According to an aspect of the present invention, when multiple real-time parameter values and the quantity that multiple related parameter values are matched reach it is pre-
When determining threshold value, the real-time parameter value is matched with related parameter values.
According to an aspect of the present invention, the warning message includes source of early warning by the information broken down.
According to an aspect of the present invention, the warning module further comprises：Warning message memory cell, for that will warn
Information is accused to be stored in warning message database；The early warning system further comprises evaluation module, for evaluating early warning effect；
And optimization module, for optimizing fault parameter；Wherein described evaluation module includes warning message acquiring unit, for obtaining police
Accuse the every warning message stored in information database；Judging unit, for the failure for judging to be predicted in every warning message
Whether occur；And judged result memory cell, for the judged result whether failure occurs to be stored in rating database；
The optimization module includes judged result acquiring unit, for obtaining the judgement knot whether failure occurs from rating database
Really；And parameter value adjustment unit, for when the judged result indicates that failure does not occur, adjusting fault parameter knowledge base
The related parameter value of middle failure.
Brief description of the drawings
Fig. 1 a, Fig. 1 b, Fig. 1 c respectively illustrate the Organization Chart of the existing warning system for wind power plant, alarm method flow
And the functional schematic of warning system；
Fig. 2 shows that the flow chart of method for early warning is investigated in equipment fault according to an embodiment of the invention；
Fig. 3 shows the flow chart according to an embodiment of the invention for setting up fault parameter knowledge base；
Fig. 4 shows the flow chart of fault pre-alarming according to an embodiment of the invention；
Fig. 5 shows the flow chart of evaluation early warning effect according to an embodiment of the invention；
Fig. 6 shows the flow chart of optimization fault parameter according to an embodiment of the invention；
Fig. 7 shows that the block diagram of early warning system is investigated in equipment fault according to an embodiment of the invention.
Embodiment
As shown in Fig. 2 equipment fault proposed by the present invention investigation method for early warning mainly include setting up fault parameter knowledge base,
Fault pre-alarming is carried out according to fault parameter knowledge base and real-time parameter.In one embodiment, in addition to evaluate early warning effect with
And optimization fault parameter.Below, equipment fault proposed by the present invention investigation method for early warning is described in detail.
As shown in figure 3, setting up fault parameter knowledge base includes importing the list of failure corresponding with each equipment, the failure
List include the failure project classified according to unit type, for example, the corresponding failure F of equipment 111, F12..., F1f, equipment 2
Correspondence failure F21, F22..., F2fEtc.；The parameter value of each equipment is imported, in one embodiment, for each equipment,
The parameter value is the value measured to the parameters of the equipment under predetermined time interval, the parameter value and time point pair
Should；The time point that the failure occurs is determined for each failure, because failure may occur repeatedly, therefore the time point can be with
It is the time point that failure occurs in user's seclected time section；At the time point occurred according to each failure, obtain corresponding device
The parameter value related to the failure, in one embodiment, before the parameter value of acquisition is the time point in predetermined amount of time
The parameter value related to the failure, such as multiple parameter values in preceding 20 minutes to first 10 minutes；By failure, corresponding device, with
The related parameter value of failure is stored in fault parameter knowledge base, so as to set up the fault parameter knowledge base.
As shown in figure 4, carrying out fault pre-alarming according to fault parameter knowledge base includes being set from fault parameter knowledge base
Standby various failures and the related parameter values of failure；Obtain equipment real-time parameter value；By real-time parameter value and related parameter values
Be compared, it is described compare any determination methods can be used to carry out, in one embodiment, for example, compare a period of time in
Multiple related parameter values of the real-time parameter value of interval acquiring and failure on schedule, when multiple real-time ginsengs in this period
Numerical value M1,...mWith multiple related parameter values N1,..., mDuring matching, such as 1≤i≤m, MiWith NiBetween difference be less than it is predetermined
The i of parameter difference quantity is more than or equal to predetermined quantity threshold value, then it is assumed that real-time parameter value is matched with related parameter values；When real-time
When parameter value is matched with related parameter values, give a warning information, in one embodiment, such as described related parameter values are preceding 20
Minute to multiple related parameter values of first 10 minutes, and matched with the multiple real-time parameter values obtained in nearest 10 minutes, then institute
Stating warning message can be, due to the real-time parameter M of equipment 11 ..., mMatching produces failure F1fRelevant parameter N1,..., m, prediction sets
Standby 1 will produce failure F after 10 minutes1f.In one embodiment, in addition to by warning message it is stored in warning message database
In.
In example shown above, a kind of parameter such as temperature is only gived for real-time parameter value and related parameter values
Example, and in practical operation, the parameter related to failure may be a variety of, except temperature described above, can also for pressure,
The parameters such as electric current, voltage, at this moment, store the parameter of many kinds of parameters related to the failure in the fault parameter knowledge base
Value, when judging whether to give a warning information, it is necessary to which whether the real-time parameter value of the every kind of parameter of comparison matches with related parameter values.
As shown in figure 5, evaluating early warning effect includes obtaining the every warning message stored in warning message database；Judge
Whether the failure predicted in every warning message occurs；The judged result whether failure occurs is stored in rating database
In.
As shown in fig. 6, optimization fault parameter includes obtaining the judged result whether failure occurs from rating database；When
When the judged result indicates that failure does not occur, the related parameter value of failure in adjustment fault parameter knowledge base, in a reality
Apply in example, can seclected time section again, the time point that failure occurs in the again selected period is searched, so that according to this
Time point determines the related parameter value of failure；In another embodiment, failure phase is determined with reference to all time points that failure occurs
The parameter value of pass, the method such as being averaging based on weighting determines the related parameter value；In another embodiment, people is passed through
Work adjusts the related parameter value of failure with reference to historical data.
As shown in fig. 7, the invention also provides early warning system is investigated in a kind of equipment fault, it is described above for performing to set
Standby failure investigates method for early warning.The failure investigation early warning system includes setting up module, for setting up fault parameter knowledge base；In advance
Alert module, for carrying out fault pre-alarming according to fault parameter knowledge base and real-time parameter.In one embodiment, in addition to evaluate
Module, for evaluating early warning effect and optimization module, for optimizing fault parameter.Below, to equipment proposed by the present invention event
Barrier investigation early warning system is described in detail.
The module of setting up includes failure import unit, the list for importing failure corresponding with each equipment, the event
The list of barrier includes the failure project classified according to unit type, for example, the corresponding failure F of equipment 111, F12..., F1fIf,
Standby 2 corresponding failure F21, F22..., F2fEtc.；Parameter value import unit, the parameter value for importing each equipment, in an implementation
In example, for each equipment, the parameter value is the parameters of the equipment to be measured under predetermined time interval
Value, the parameter value is corresponding with time point；Time point determining unit, for determining the time that the failure occurs for each failure
Point, because failure may occur repeatedly, therefore the time point can be the time that failure occurs in user's seclected time section
Point；Parameter value obtaining unit, for the time point occurred according to each failure, obtains the ginseng related to the failure of corresponding device
Numerical value, in one embodiment, ginseng related to the failure in predetermined amount of time before the parameter value of acquisition is the time point
Numerical value, such as multiple parameter values in preceding 20 minutes to first 10 minutes；Parameter value memory cell, for by failure, corresponding device,
The parameter value related to failure is stored in fault parameter knowledge base, so as to set up the fault parameter knowledge base.
Warning module include failure acquiring unit, for obtained from fault parameter knowledge base equipment various failures and
The related parameter values of failure；Implement parameter acquiring unit, for obtaining equipment real-time parameter value；Comparing unit, for by real time
Parameter value is compared with related parameter values, it is described compare any determination methods can be used to carry out, in one embodiment, example
Such as, multiple related parameter values of the real-time parameter value of interval acquiring and failure on schedule in a period of time are compared, when this section
Multiple real-time parameter value M in time1,...mWith multiple related parameter values N1,..., mDuring matching, such as 1≤i≤m, MiWith Ni
Between difference be less than predefined parameter difference i quantity be more than or equal to predetermined quantity threshold value, then it is assumed that real-time parameter value and phase
Related parameter value is matched；Warning message issue unit, for when real-time parameter value is matched with related parameter values, to give a warning letter
Breath, in one embodiment, such as described related parameter values are multiple related parameter values of first 20 minutes to first 10 minutes, and with
The multiple real-time parameter values matching obtained in nearest 10 minutes, then the warning message can be, due to the real-time parameter of equipment 1
M1 ..., mMatching produces failure F1fRelevant parameter N1,..., m, pre- measurement equipment 1 will produce failure F after 10 minutes1f.In a reality
Apply in example, in addition to warning message memory cell, for warning message to be stored in warning message database.
In example shown above, a kind of parameter such as temperature is only gived for real-time parameter value and related parameter values
Example, and in practical operation, the parameter related to failure may be a variety of, except temperature described above, can also for pressure,
The parameters such as electric current, voltage, at this moment, store the parameter of many kinds of parameters related to the failure in the fault parameter knowledge base
Value, when judging whether to give a warning information, it is necessary to which whether the real-time parameter value of the every kind of parameter of comparison matches with related parameter values.
Evaluation module includes warning message acquiring unit, the every warning letter stored for obtaining in warning message database
Breath；Whether judging unit, the failure for judging to be predicted in every warning message occurs；And judged result memory cell,
For the judged result whether failure occurs to be stored in rating database.
Optimization module includes judged result acquiring unit, for obtaining the judgement whether failure occurs from rating database
As a result；Parameter value adjustment unit, for when the judged result indicates that failure does not occur, adjusting in fault parameter knowledge base
The related parameter value of failure, in one embodiment, can seclected time section again, search in the again selected period therefore
Hinder the time point occurred, so as to determine the related parameter value of failure according to the time point；In another embodiment, sent out with reference to failure
Raw all time points determine the related parameter value of failure, and the method such as being averaging based on weighting determines the related parameter
Value；In another embodiment, the related parameter value of failure is adjusted by artificial reference historical data.
Equipment fault is investigated early warning system and set up from angle of statistics by the extraction and analysis to historical Device fault data
Failure relevant parameter information excavating model, based on the model and existing industry park plan storehouse, forms specific model and sets
Standby failure relevant parameter information knowledge storehouse.Related with failure relevant parameter information knowledge storehouse real-time watch device specific fault
Parameter information, establishes equipment fault investigation Early-warning Model to meeting the carry out early warning of knowledge base parameter value and logic.With
Based on history warning information and early warning recruitment evaluation, an equipment fault early-warning self-optimizing model is established, early warning is realized
The optimization of parameter information knowledge base, so as to reach the continuous improvement of warning information accuracy.Early warning system has customer parameter tune
Whole interface, it is ensured that the user of authority rule of thumb can match somebody with somebody confidence in failure relevant parameter information knowledge storehouse of direct add-on system etc.
Breath, it is ensured that operation manpower think tank makes full use of.The system is set with the principle of " artificial few participation, data model self-optimizing "
Meter, realizes system automatic early-warning, the target of adjust automatically, more original warning system has the advantage that：
1st, system can be used in various practical applications, for example, wind power equipment fault pre-alarming and design, it is more original to lack pre-
The warning system of alert function has greatly improved.Based on the real-time running data enriched constantly, the pre- of different types of machines is covered in formation
Alert information knowledge storehouse, has higher projected depth and accuracy to ensure.
2nd, system is modeled design with statistical theory thought, and the history, real time data to equipment carry out full Life Cycle
The statistical analysis of phase, the statistics early-warning function of being formed based on big data, more original early warning system with single experience more section
Learn, more comprehensively.
3rd, system only needs the participation of operations staff seldom to carry out automatic early-warning, and system can be automatically according to real time execution storehouse
Study optimization self model parameter.The manpower for participating in adjustment more saving system compared with artificial Life cycle in original system is safeguarded into
This.
Above-mentioned embodiment proposes just to illustrate, not as limiting the scope of the invention.This area skill
Art personnel are appreciated that by being adjusted to above-mentioned embodiment, can apply it into different practical applications.
Claims (14)
1. method for early warning is investigated in a kind of equipment fault, it is characterised in that this method includes：
Set up fault parameter knowledge base；And
Fault pre-alarming is carried out according to fault parameter knowledge base and real-time parameter；
The fault parameter knowledge base of setting up includes：
Import the list of failure corresponding with each equipment；
Import the parameter value of each equipment；
The time point that the failure occurs is determined for each failure；
At the time point occurred according to each failure, obtain the parameter value related to failure of corresponding device；And
Failure, corresponding device, the parameter value related to failure are stored in fault parameter knowledge base；
It is described to be included according to fault parameter knowledge base and real-time parameter progress fault pre-alarming：
The various failures of equipment and the related parameter values of failure are obtained from the fault parameter knowledge base；
Obtain equipment real-time parameter value；
Real-time parameter value is compared with the related parameter values；
When real-time parameter value is matched with the related parameter values, give a warning information；
It is described to determine that the time point that the failure occurs includes the time for determining that failure occurs in seclected time section for each failure
Point；
At the time point that each failure of basis occurs, obtaining the parameter value related to failure of corresponding device includes：
Multiple parameter values related to each failure in predetermined amount of time before obtaining the time point that each failure occurs.
2. method for early warning according to claim 1, it is characterised in that：
The list of the failure corresponding with each equipment includes the failure project classified according to unit type.
3. method for early warning according to claim 1, it is characterised in that：
The parameter value of each each equipment is corresponding with a time point.
4. method for early warning according to claim 1, it is characterised in that：
The equipment real-time parameter value that obtains includes obtaining the multiple real-time parameter values of equipment within a predetermined period of time；
It is described by real-time parameter value and the related parameter values be compared including：
The multiple real-time parameter values of the equipment within a predetermined period of time are related to each failure corresponding to the equipment
Parameter value is made comparisons.
5. method for early warning according to claim 4, it is characterised in that：
When multiple real-time parameter values reach predetermined threshold with the quantity that multiple related parameter values are matched, the real-time parameter value with
Related parameter values are matched.
6. method for early warning according to claim 5, it is characterised in that：
The warning message includes source of early warning by the information broken down.
7. method for early warning according to claim 1, it is characterised in that：
It is described to be further comprised according to fault parameter knowledge base and real-time parameter progress fault pre-alarming：Warning message is stored in police
Accuse in information database；
The method for early warning further comprises evaluating early warning effect and optimizes fault parameter；Wherein
The early warning effect of evaluating includes obtaining the every warning message stored in warning message database；Judge every warning letter
Whether the failure predicted in breath occurs；The judged result whether failure occurs is stored in rating database；
The optimization fault parameter includes obtaining the judged result whether failure occurs from rating database；Judge knot when described
When fruit indicates that failure does not occur, the related parameter value of failure in adjustment fault parameter knowledge base.
8. early warning system is investigated in a kind of equipment fault, it is characterised in that the system includes：
Module is set up, for setting up fault parameter knowledge base；And
Warning module, for carrying out fault pre-alarming according to fault parameter knowledge base and real-time parameter；
The module of setting up includes：
Failure import unit, the list for importing failure corresponding with each equipment；
Parameter value import unit, the parameter value for importing each equipment；
Time point determining unit, for determining the time point that the failure occurs for each failure；
Parameter value obtaining unit, for the time point occurred according to each failure, obtains the ginseng related to failure of corresponding device
Numerical value；And
Parameter value memory cell, for failure, corresponding device, the parameter value related to failure to be stored in into fault parameter knowledge base
In；
The warning module includes：
Failure acquiring unit, for obtaining the various failures of equipment and the related ginseng of failure from the fault parameter knowledge base
Numerical value；
Implement parameter acquiring unit, for obtaining equipment real-time parameter value；
Comparing unit, for real-time parameter value to be compared with the related parameter values；
Warning message issue unit, for when real-time parameter value is matched with the related parameter values, to give a warning information；
It is described to determine that the time point that the failure occurs includes the time for determining that failure occurs in seclected time section for each failure
Point；
At the time point that each failure of basis occurs, obtaining the parameter value related to failure of corresponding device includes：
Multiple parameter values related to each failure in predetermined amount of time before obtaining the time point that each failure occurs.
9. early warning system according to claim 8, it is characterised in that：
The list of the failure corresponding with each equipment includes the failure project classified according to unit type.
10. early warning system according to claim 8, it is characterised in that：
The parameter value of each each equipment is corresponding with a time point.
11. early warning system according to claim 10, it is characterised in that：
The equipment real-time parameter value that obtains includes obtaining the multiple real-time parameter values of equipment within a predetermined period of time；
It is described by real-time parameter value and the related parameter values be compared including：
The multiple real-time parameter values of the equipment within a predetermined period of time are related to each failure corresponding to the equipment
Parameter value is made comparisons.
12. early warning system according to claim 11, it is characterised in that：
When multiple real-time parameter values reach predetermined threshold with the quantity that multiple related parameter values are matched, the real-time parameter value with
Related parameter values are matched.
13. early warning system according to claim 12, it is characterised in that：
The warning message includes source of early warning by the information broken down.
14. early warning system according to claim 8, it is characterised in that：
The warning module further comprises：Warning message memory cell, for warning message to be stored in into warning message data
In storehouse；
The early warning system further comprises evaluation module, for evaluating early warning effect；And optimization module, for optimizing failure
Parameter；Wherein
The evaluation module includes warning message acquiring unit, the every warning letter stored for obtaining in warning message database
Breath；Whether judging unit, the failure for judging to be predicted in every warning message occurs；And judged result memory cell,
For the judged result whether failure occurs to be stored in rating database；
The optimization module includes judged result acquiring unit, for obtaining the judgement whether failure occurs from rating database
As a result；And parameter value adjustment unit, for when the judged result indicates that failure does not occur, adjusting fault parameter knowledge
The related parameter value of failure in storehouse.
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| CN104103021B (en) * | 2014-07-15 | 2017-04-05 | 南京南瑞集团公司 | A kind of filter method for power station production process data |
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