CN107121943A - A kind of method and apparatus for being used to obtain the health forecast information of intelligence instrument - Google Patents
A kind of method and apparatus for being used to obtain the health forecast information of intelligence instrument Download PDFInfo
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- CN107121943A CN107121943A CN201610101960.6A CN201610101960A CN107121943A CN 107121943 A CN107121943 A CN 107121943A CN 201610101960 A CN201610101960 A CN 201610101960A CN 107121943 A CN107121943 A CN 107121943A
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- health
- intelligence instrument
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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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Abstract
The invention provides a kind of method for being used to obtain the health forecast information of intelligence instrument, wherein, this method includes：The factor correlativity information of the health status for predicting intelligence instrument is obtained, wherein, the factor correlativity information is used to indicate the correlation between the health effect factor and health status；By the factor correlativity information and the device-dependent message of the intelligence instrument, the input for the health assessment model set up as the life cycle based on the intelligence instrument, to obtain the health forecast information of the intelligence instrument.According to the solution of the present invention, the health status of intelligence instrument is combined with each life stage of its life cycle, the health forecast information for obtaining intelligence instrument can be predicted exactly based on Life Circle, and be easy to more effectively make for decision-makings such as the maintenances or rotation of intelligence instrument based on the health forecast information.
Description
Technical field
The present invention relates to intelligence instrument technical field, more particularly to a kind of health for being used to obtain intelligence instrument
The method and apparatus of information of forecasting.
Background technology
Use scope of the intelligence instrument in people live is extremely wide, and by different intelligence instrument institutes
Corresponding producer, function, installation situation etc. are probably different, therefore, it is difficult to towards a large amount of Intelligent Instruments
Table, to predict the health status of wherein each intelligence instrument, user or producer's band that this can be to intelligence instrument
Carry out greatly inconvenience, such as due to can not accurately know the health status of intelligence instrument, the producer of intelligence instrument
Intelligence instrument is just changed generally when reaching predetermined service life, if the actual life of intelligence instrument is not
Predetermined service life is reached, then the normal of user will be influenceed to use, and if reaching predetermined service life
When intelligence instrument still in good health status, then will cause the wasting of resources, and may require that producer spends
Larger production cost.
In the prior art, for the state of monitoring intelligent instrument, there is following technical scheme：1) define
State evaluation rule and measuring scale, and intelligence instrument is marked according to the state evaluation rule；2)
By online design condition monitoring device, to obtain the real-time running state of intelligence instrument.Above-mentioned technical side
Case is only capable of the current state of monitoring intelligent instrument, does not have predicting function.
The content of the invention
In view of this, one of the problem of one embodiment of the present of invention is solved is how to predict intelligence exactly
The health status of instrument, consequently facilitating making the accurately decision-making such as maintenance and/or rotation for intelligence instrument.
There is provided a kind of health forecast letter for being used to obtain intelligence instrument according to one embodiment of present invention
The method of breath, wherein, this method includes：
The factor correlativity information of the health status for predicting intelligence instrument is obtained, wherein, the factor
Correlation information is used to indicate the correlation between the health effect factor and health status；
By the factor correlativity information and the device-dependent message of the intelligence instrument, as based on institute
The input for the health assessment model that the life cycle of intelligence instrument is set up is stated, to obtain the intelligence instrument
Health forecast information.
There is provided a kind of health forecast letter for being used to obtain intelligence instrument according to one embodiment of present invention
The device of breath, wherein, the device includes：
First obtains unit, the factor correlativity letter for obtaining the health status for being used to predict intelligence instrument
Breath, wherein, the factor correlativity information is used to indicate the phase between the health effect factor and health status
Guan Xing；
Predicting unit, for the equipment correlation of the factor correlativity information and the intelligence instrument to be believed
Breath, the input for the health assessment model set up as the life cycle based on the intelligence instrument, to obtain
Obtain the health forecast information of the intelligence instrument.
Compared with prior art, the present invention has advantages below：It take into account life cycle and each raw
Influence of the life stage to the health status of intelligence instrument, passes through the analysis based on Life Circle and pipe
Reason, come the prediction of the health status of realizing intelligence instrument, so as to accurate and clearly know intelligence instrument
The global view of health status in whole life cycle, is easy to the overall operation of intelligent grid；Can be accurate
Healthy shadow that is true and being able to conveniently find in the whole life cycle and each life stage of intelligence instrument
Ring the factor, and analyzed by big data based on database calculate the health effect factor and health status it
Between factor correlativity information, to predict the residual life of intelligence instrument exactly, be directed in order to make
Maintenance or rotation of intelligence instrument etc. advise, so as to extend the service life of intelligence instrument, and be easy to and
When intelligence instrument is changed, and then avoid making troubles to user due to changing not in time；In addition,
Health assessment model can be set up based on the life cycle of intelligence instrument, so that by the health of intelligence instrument
State is connected with the life stage in life cycle, so that can by health assessment model
Lean on and the quantitative health status for predicting intelligence instrument, in order to know the healthy shape of intelligence instrument in time
State, so as to make in time and exactly the decision-makings such as corresponding maintenance or rotation；Can be according to the health
Information of forecasting, optimizes the health assessment model, from regardless of whether how environment and condition change, can be real
The dynamic of existing health assessment model updates and optimized.
Brief description of the drawings
Other features, feature, advantage and the benefit of the present invention will by the detailed description below in conjunction with accompanying drawing
Become more fully apparent.
Fig. 1 is the side for being used to obtain the health forecast information of intelligence instrument according to one embodiment of the invention
The schematic flow sheet of method；
Fig. 2 is the health forecast information for being used to obtain intelligence instrument according to another embodiment of the present invention
The schematic flow sheet of method；
Fig. 3 is the dress for being used to obtain the health forecast information of intelligence instrument according to one embodiment of the invention
The structural representation put；
Fig. 4 is the health forecast information for being used to obtain intelligence instrument according to another embodiment of the present invention
The structural representation of device；
Fig. 5 is the universal architecture block diagram of the computer equipment according to one embodiment of the invention.
Embodiment
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although being shown in accompanying drawing
The preferred embodiment of the disclosure, however, it is to be appreciated that may be realized in various forms the disclosure without
It should be limited by embodiments set forth herein.On the contrary, thesing embodiments are provided so that the disclosure
It is more thorough and complete, and can by the scope of the present disclosure completely convey to those skilled in the art
Member.
Fig. 1 is the side for being used to obtain the health forecast information of intelligence instrument according to one embodiment of the invention
The schematic flow sheet of method.
Wherein, the intelligence instrument includes any Intelligent Instrument for being combined with computer technology and detection technique
Device, such as intelligent electric meter, intellectual water meter.
Wherein, the method for the present embodiment is mainly realized by computer equipment, the computer equipment bag
Include but be not limited to the network equipment and user equipment etc.；The network equipment includes but is not limited to single network clothes
Be engaged in device, multiple webservers composition server group or based on cloud computing (Cloud Computing)
The cloud being made up of a large amount of computers or the webserver, wherein, cloud computing is one kind of Distributed Calculation,
A super virtual computer being made up of the computer collection of a group loose couplings；Residing for the network equipment
Network include but is not limited to internet, wide area network, Metropolitan Area Network (MAN), LAN, VPN etc.；It is described
User equipment includes but is not limited to PC, tablet personal computer etc..
It should be noted that the computer equipment is only for example, other are existing or are likely to occur from now on
Computer equipment be such as applicable to the present invention, should also be included within the scope of the present invention, and to draw
It is incorporated herein with mode.
Step S110 and step S120 is included according to the method for the present embodiment.
In step s 110, computer equipment obtains the factor of the health status for predicting intelligence instrument
Correlation information.
Wherein, the factor correlativity information includes any for indicating the health effect factor and health status
Between correlation information, such as coefficient correlation between the health effect factor and health status, or related
Function etc..Wherein, the health status is used for the health condition of indicating intelligent instrument, is such as used to indicate intelligence
Residual life length, useful life length, current age stage of energy instrument etc..Wherein, the health
Factor of influence includes the factor of any health status that can influence intelligence instrument, such as intelligence instrument local environment
Wetness, ambient temperature, the own temperature of intelligence instrument etc..For example, factor correlativity information
It is non-linear between the wetness of indicating intelligent instrument local environment and the residual life length of intelligence instrument
Relation.It should be noted that preferably, the factor relevant information indicates the health effect factor and life
The correlation of the health status (time span of such as each life stage) of each life stage in cycle.
It should be noted that preferably, the factor correlativity information may be used to indicate single health effect
Correlation between the factor and health status, it can also be used to indicate at least two health effect factors and health
Complex dependency between state.For example, factor correlativity information includes：Wetness and intelligence instrument
It is related between coefficient correlation, temperature and the residual life length of intelligence instrument between residual life length
Coefficient, and wetness and temperature are combined the multiple correlation between the residual life length of intelligence instrument
Coefficient.
Specifically, computer equipment can obtain the health status for predicting intelligence instrument using various ways
Factor correlativity information.
For example, computer equipment receives the healthy shape for predicting intelligence instrument measured by other equipment
The factor correlativity information of state.
In another example, computer equipment obtain operating personnel based on experience input for predicting intelligence instrument
The factor correlativity information of health status.
As a kind of preferred scheme, the step S110 further comprises step S1110 and step S1120.
In step S1110, computer equipment sets up what is set up with the life cycle based on intelligence instrument
The corresponding database of health assessment model, the database is used to collect suitable for the life cycle
The life cycle data of multiple intelligence instruments.
Wherein, setting up the implementation of the health assessment model will be described in detail in subsequent embodiment,
It will not be repeated here.
Preferably, the database is distributed data base.
Wherein, the life cycle of intelligence instrument represents the life cycle management of intelligence instrument, the life cycle
It is divided into multiple life stages；Preferably, the life cycle is divided into following life stage：System
Make the stage, the haulage stage, erection stage, the operation phase, maintenance phase, abandonment stage.
It should be noted that the division of life cycle and the function of intelligence instrument, suitable application region, healthy shadow
Ring many factors such as the factor (factor of influence that the health status of intelligence instrument can be influenceed) related, therefore,
Life cycle should be divided into several life stages based on the actual conditions of intelligence instrument；For example, one
The intelligence instrument of type will not produce influence in erection stage on its health status, then to the type
When the life cycle of intelligence instrument is divided, erection stage can be neglected.
Wherein, the life cycle data includes all data in the life cycle of intelligence instrument；It is preferred that
Ground, each life stage that the life cycle data is included in the life cycle of intelligence instrument is corresponding
Online data and off-line data.Preferably, the online data includes but is not limited to：For measuring system
Data, stream time, meteorological data, fault data, voltage data, electromagnetic interference data etc.；
Preferably, the off-line data includes but is not limited to：The structured data of intelligent electric meter, module information, factory
Family's (manufacturer, retailer etc.) data, installation data etc..It should be noted that preferably, data
Its each life cycle data for being collected into of library storage, and record the life corresponding to each life cycle data
The life stage.
As an example, a collection of intelligent electric meter for possessing same model is applied to identical life cycle,
In step S1110, computer equipment sets up the health assessment model with being set up based on the life cycle
Corresponding database, the database be used for collect in this batch of intelligent electric meter whole life cycle it is all
Line number evidence and off-line data.
In step S1120, computer equipment is according to the life cycle that current collection is arrived in the database
Data, calculate the factor correlativity information for obtaining the health status for predicting the intelligence instrument.
Specifically, computer equipment by the life cycle data that is arrived to current collection in database carry out because
Sub- correlation analysis, to calculate the factor correlativity information between the health effect factor and health status.
Wherein, computer equipment can carry out the factor correlativity analysis using a variety of machine learning modes,
Such as analysis of clustering, multi-dimensional matrix, SVMs, regression analysis and deep learning.
As an example, the predefined health effect factor includes wetness and temperature, in step S1120
In, computer equipment carries out correlation point by the life cycle data arrived to current collection in database
Analysis, calculates the coefficient correlation C1 obtained between wetness and residual life length, and temperature and residue
Coefficient correlation C2 between life length, afterwards, computer equipment is based further on neural network algorithm,
Calculating obtains wetness between the health compound factor of influence and residual life length that temperature is combined
Correlation function C3, and the factor using C1, C2 and C3 as the health status for predicting intelligence instrument
Correlation information.
It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to this
The limitation of invention, it should be appreciated by those skilled in the art that any health obtained for predicting intelligence instrument
The implementation of the factor correlativity information of state, should be included in the scope of the present invention.
In the step s 120, computer equipment is by the factor correlativity information and the intelligence instrument
Device-dependent message, the health assessment model set up as the life cycle based on the intelligence instrument
Input, to obtain the health forecast information of the intelligence instrument.
Wherein, the device-dependent message includes any related to the intelligence instrument available for predicting it
The information of health status.Preferably, the device-dependent message including the intelligence instrument be presently in
Its life cycle in life stage, as described device-dependent message indicating intelligent instrument be currently at fortune
Row order section.It is highly preferred that the device-dependent message also includes the current corresponding extraneous ring of intelligence instrument
The current attribute information of environment information and/or the intelligence instrument；Wherein, the external environment information includes appointing
The humidity what is used in the information of the extraneous physical environment of indicating intelligent instrument, such as intelligence instrument local environment
Degree, current environment temperature etc.；Wherein, the current attribute information includes working as any and intelligence instrument
The related information of preceding attribute, stream time, the current voltage value of such as intelligence instrument.
Wherein, computer equipment can obtain the device-dependent message using various ways.For example, calculating
Machine equipment obtains its device-dependent message that intelligence instrument is provided；In another example, computer equipment obtains it
His equipment is by detecting the device-dependent message of the intelligence instrument that intelligence instrument is obtained.
Wherein, the health forecast information includes the prediction knot of any health status with for intelligence instrument
The related information of fruit.Preferably, the health forecast information includes but is not limited to：
1) it is used for the information of forecasting of the current health state of indicating intelligent instrument, such as health forecast information refers to
The current age stage for showing intelligence instrument is latter stage, and the lifetime stage represents the residual life of intelligence instrument not
Foot 1 year.
2) it is used for the information of forecasting of the future health status of indicating intelligent instrument, such as health forecast information refers to
Show the attenuation of intelligence instrument future life length, or, the intelligence instrument future that indication predicting is arrived
Long lifespan angle value is 2 years.
3) be directed to the intelligence instrument maintenance suggestion information, the maintenance suggestion information include it is any with
For the related information of the maintenance suggestion of intelligence instrument, such as health forecast information indicate daily carry out rain-proof,
The attended operation such as sun-proof, dust-proof.
4) it is directed to the rotation advisory information of the intelligence instrument.Wherein, the rotation advisory information includes
Any information related to rotation suggestion for intelligence instrument, as advised being immediately performed alternate operation, or
It is recommended that performing alternate operation after 1 month；Preferably, can be long in the residual life for predicting intelligence instrument
Spend when being less than predetermined threshold (such as 3 months) there is provided the rotation advisory information for intelligence instrument, be responsible for
The personnel of alternate operation or producer can be further determined that based on the rotation advisory information and actual conditions
Whether the rotation of intelligence instrument is performed.
It should be noted that above-mentioned health forecast information is only for example, rather than limitation of the present invention, this
Art personnel will be understood that predicting the outcome for any health status to for intelligence instrument is related
In the range of information, the health forecast information that should be included in the present invention.
It should be noted that the health assessment model that the life cycle based on intelligence instrument is set up, is table
Show health assessment model based on life cycle (and life stage included in life cycle) with
The life cycle (and life stage included in life cycle) for needing the intelligence instrument of prediction is phase
With.
Specifically, computer equipment is by the factor correlativity information and the equipment phase of the intelligence instrument
Pass information, the input for the health assessment model set up as the life cycle based on the intelligence instrument,
And it regard the output of health assessment model as the health forecast information for the intelligence instrument.
As a kind of preferred scheme of the present embodiment, the method for the present embodiment also includes：Computer equipment root
According to the health forecast information, optimize the health assessment model.
According to the scheme of the present embodiment, it is contemplated that life cycle and each life stage are to intelligence instrument
Health status influence, by analysis and management based on Life Circle, to realize intelligence instrument
Health status prediction, so as to accurate and clearly know intelligence instrument in whole life cycle
The global view of health status, is easy to the overall operation of intelligent grid；Accurately and it can be able to conveniently find in intelligence
The health effect factor in the whole life cycle and each life stage of energy instrument, and by based on number
Analyze to calculate the factor correlativity information between the health effect factor and health status according to the big data in storehouse,
The residual life of intelligence instrument can be predicted exactly, in order to make the maintenance or rotation that are directed to intelligence instrument
Deng suggestion, so as to extend the service life of intelligence instrument, and it is easy in time change intelligence instrument,
And then avoid making troubles to user due to changing not in time；In addition, can be believed according to the health forecast
Breath, optimizes the health assessment model, and from regardless of whether how environment and condition change, health can be achieved
The dynamic of evaluation model updates and optimized.
Fig. 2 is the side for being used to obtain the health forecast information of intelligence instrument of another embodiment of the present invention
The schematic flow sheet of method.Step S110, step S120, step S130 are included according to the method for the present embodiment
With step S140, wherein, the step S110 and the step S120 are real shown in reference picture 1
Apply in example and be described in detail, be will not be repeated here.
Wherein, the step S130 and the step S140 are performed before the step S110.
In step s 130, each life stage institute that computer equipment is obtained in the life cycle is right
The vital signs information answered.
Wherein, for each life stage, the vital signs information corresponding to the life stage includes any
The information related to the feature of the life stage.For example, life stage is the fabrication stage, intelligence instrument exists
Vital signs information corresponding to the life stage includes：The manufacturer of intelligence instrument, system architecture are set
Meter, module connected mode etc.；In another example, life stage is the haulage stage, and intelligence instrument is in the life rank
Vital signs information corresponding to section includes：Means of transportation (such as aircraft, automobile), origin and
Objective, weather condition, sealing situation, temporal information etc..
Specifically, computer equipment can obtain each life rank in the life cycle using various ways
Vital signs information corresponding to section.For example, for a collection of intelligence instrument, computer equipment is operated
Corresponding to each life stage in the life cycle for this batch of intelligence instrument that personnel are inputted based on experience
Vital signs information.In another example, computer equipment collects multiple intelligence instruments with same model whole
Data in individual life cycle, and the life cycle institute based on the plurality of intelligence instrument of big data analytic definition
Comprising life stage, and the vital signs information corresponding to each life stage.
It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to this
The limitation of invention, it should be appreciated by those skilled in the art that any each life obtained in the life cycle
The implementation of vital signs information corresponding to the life stage, should be included in the scope of the present invention.
In step S140, computer equipment is predefined multiple strong according to the vital signs information
Each health effect factor and health status in health factor of influence, and the multiple health effect factor
Between default correlation information, set up the health assessment model corresponding with the intelligence instrument.
Preferably, predefined multiple health effect factors for can physical representation can influence intelligence
The factor of influence of the health status of instrument, such as wetness, temperature.
Specifically, the vital signs corresponding to each life stage of the computer equipment in life cycle
It is each strong in information, predefined multiple health effect factors and the multiple health effect factor
Default correlation information between health factor of influence and health status, sets up health assessment model.The health
Evaluation model is used for the health status for predicting the intelligence instrument suitable for the life cycle.
It should be noted that preferably, also including in the health assessment model based on the pre- of life cycle
Determine prediction rule.
According to the scheme of the present embodiment, health assessment mould can be set up based on the life cycle of intelligence instrument
Type, so that the life stage in the health status and life cycle of intelligence instrument is connected, so that
Must by health assessment model can be reliable and quantitative prediction intelligence instrument health status, in order to and
When know the health status of intelligence instrument, so as to make in time and exactly corresponding safeguard or rotation
Deng decision-making.
Fig. 3 is the dress for being used to obtain the health forecast information of intelligence instrument according to one embodiment of the invention
The structural representation put.
This be used for obtain intelligence instrument health forecast information device (hereinafter referred to as " and health forecast fill
Put 100 ") include first obtains unit 110 and predicting unit 120.
First obtains unit 110 obtains the factor correlativity letter of the health status for predicting intelligence instrument
Breath.
Wherein, the factor correlativity information includes any for indicating the health effect factor and health status
Between correlation information, such as coefficient correlation between the health effect factor and health status, or related
Function etc..Wherein, the health status is used for the health condition of indicating intelligent instrument, is such as used to indicate intelligence
Residual life length, useful life length, current age stage of energy instrument etc..Wherein, the health
Factor of influence includes the factor of any health status that can influence intelligence instrument, such as intelligence instrument local environment
Wetness, ambient temperature, the own temperature of intelligence instrument etc..For example, factor correlativity information
It is non-linear between the wetness of indicating intelligent instrument local environment and the residual life length of intelligence instrument
Relation.It should be noted that preferably, the factor relevant information indicates the health effect factor and life
The correlation of the health status (time span of such as each life stage) of each life stage in cycle.
It should be noted that preferably, the factor correlativity information may be used to indicate single health effect
Correlation between the factor and health status, it can also be used to indicate at least two health effect factors and health
Complex dependency between state.For example, factor correlativity information includes：Wetness and intelligence instrument
It is related between coefficient correlation, temperature and the residual life length of intelligence instrument between residual life length
Coefficient, and wetness and temperature are combined the multiple correlation between the residual life length of intelligence instrument
Coefficient.
Specifically, first obtains unit 110 can be obtained using various ways for predicting the strong of intelligence instrument
The factor correlativity information of health state.
For example, first obtains unit 110, which receives being used for measured by other equipment, predicts intelligence instrument
The factor correlativity information of health status.
In another example, first obtains unit 110 obtain operating personnel based on experience input for predicting intelligence
The factor correlativity information of the health status of instrument.
As a kind of preferred scheme, first obtains unit 110 further comprises Database unit (figure
Do not show) and computing unit (not shown).
Database unit sets up the health assessment mould set up with the life cycle based on intelligence instrument
The corresponding database of type, the database is used to collect multiple Intelligent Instruments suitable for the life cycle
The life cycle data of table.
Wherein, setting up the implementation of the health assessment model will be described in detail in subsequent embodiment,
It will not be repeated here.
Preferably, the database is distributed data base.
Wherein, the life cycle of intelligence instrument represents the life cycle management of intelligence instrument, the life cycle
It is divided into multiple life stages；Preferably, the life cycle is divided into following life stage：System
Make the stage, the haulage stage, erection stage, the operation phase, maintenance phase, abandonment stage.
It should be noted that the division of life cycle and the function of intelligence instrument, suitable application region, healthy shadow
Ring many factors such as the factor related, therefore, should be drawn life cycle based on the actual conditions of intelligence instrument
It is divided into several life stages；For example, a type of intelligence instrument will not be to its health in erection stage
State produces influence, then when the life cycle of the intelligence instrument to the type is divided, and peace can be neglected
The dress stage.
Wherein, the life cycle data includes all data in the life cycle of intelligence instrument；It is preferred that
Ground, each life stage that the life cycle data is included in the life cycle of intelligence instrument is corresponding
Online data and off-line data.Preferably, the online data includes but is not limited to：For measuring system
Data, stream time, meteorological data, fault data, voltage data, electromagnetic interference data etc.；
Preferably, the off-line data includes but is not limited to：The structured data of intelligent electric meter, module information, factory
Family's (manufacturer, retailer etc.) data, installation data etc..It should be noted that preferably, data
Its each life cycle data for being collected into of library storage, and record the life corresponding to each life cycle data
The life stage.
As an example, a collection of intelligent electric meter for possessing same model is applied to identical life cycle,
Database unit sets up the number corresponding with the health assessment model set up based on the life cycle
According to storehouse, the database be used to collecting all online datas in this batch of intelligent electric meter whole life cycle and from
Line number evidence.
Computing unit is used for according to the life cycle data that current collection is arrived in the database, calculating
Predict the factor correlativity information of the health status of the intelligence instrument.
Specifically, computing unit carries out the factor by the life cycle data arrived to current collection in database
Correlation analysis, to calculate the factor correlativity information between the health effect factor and health status.
Wherein, computer equipment can carry out the factor correlativity analysis using a variety of machine learning modes,
Such as analysis of clustering, multi-dimensional matrix, SVMs, regression analysis and deep learning.
As an example, the predefined health effect factor includes wetness and temperature, and computing unit leads to
Cross the life cycle data arrived to current collection in database and carry out correlation analysis, calculating obtains wetness
Coefficient correlation C1 between residual life length, and it is related between temperature and residual life length
Coefficient C2, afterwards, computing unit are based further on neural network algorithm, and calculating obtains wetness and temperature
The correlation function C3 spent between the health compound factor of influence that is combined and residual life length, and by C1,
C2 and C3 as the health status for predicting intelligence instrument factor correlativity information.
It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to this
The limitation of invention, it should be appreciated by those skilled in the art that any health obtained for predicting intelligence instrument
The implementation of the factor correlativity information of state, should be included in the scope of the present invention.
Predicting unit 120 believes the factor correlativity information and the equipment of intelligence instrument correlation
Breath, the input for the health assessment model set up as the life cycle based on the intelligence instrument, to obtain
Obtain the health forecast information of the intelligence instrument.
Wherein, the device-dependent message includes any related to the intelligence instrument available for predicting it
The information of health status.Preferably, the device-dependent message including the intelligence instrument be presently in
Its life cycle in life stage, as described device-dependent message indicating intelligent instrument be currently at fortune
Row order section.It is highly preferred that the device-dependent message also includes the current corresponding extraneous ring of intelligence instrument
The current attribute information of environment information and/or the intelligence instrument；Wherein, the external environment information includes appointing
The humidity what is used in the information of the extraneous physical environment of indicating intelligent instrument, such as intelligence instrument local environment
Degree, current environment temperature etc.；Wherein, the current attribute information includes working as any and intelligence instrument
The related information of preceding attribute, stream time, the current voltage value of such as intelligence instrument.
Wherein, predicting unit 120 can obtain the device-dependent message using various ways.For example, pre-
Survey unit 120 and obtain its device-dependent message that intelligence instrument is provided；In another example, predicting unit 120
Other equipment is obtained by detecting the device-dependent message of the intelligence instrument that intelligence instrument is obtained.
Wherein, the health forecast information includes the prediction knot of any health status with for intelligence instrument
The related information of fruit.Preferably, the health forecast information includes but is not limited to：
1) it is used for the information of forecasting of the current health state of indicating intelligent instrument, such as health forecast information refers to
The current age stage for showing intelligence instrument is latter stage, and the lifetime stage represents the residual life of intelligence instrument not
Foot 1 year.
2) it is used for the information of forecasting of the future health status of indicating intelligent instrument, such as health forecast information refers to
Show the attenuation of intelligence instrument future life length, or, the intelligence instrument future that indication predicting is arrived
Long lifespan angle value is 2 years.
3) be directed to the intelligence instrument maintenance suggestion information, the maintenance suggestion information include it is any with
For the related information of the maintenance suggestion of intelligence instrument, such as health forecast information indicate daily carry out rain-proof,
The attended operation such as sun-proof, dust-proof.
4) it is directed to the rotation advisory information of the intelligence instrument.Wherein, the rotation advisory information includes
Any information related to rotation suggestion for intelligence instrument, as advised being immediately performed alternate operation, or
It is recommended that performing alternate operation after 1 month；Preferably, can be long in the residual life for predicting intelligence instrument
Spend when being less than predetermined threshold (such as 3 months) there is provided the rotation advisory information for intelligence instrument, be responsible for
The personnel of alternate operation or producer can be further determined that based on the rotation advisory information and actual conditions
Whether the rotation of intelligence instrument is performed.
It should be noted that above-mentioned health forecast information is only for example, rather than limitation of the present invention, this
Art personnel will be understood that predicting the outcome for any health status to for intelligence instrument is related
In the range of information, the health forecast information that should be included in the present invention.
It should be noted that the health assessment model that the life cycle based on intelligence instrument is set up, is table
Show health assessment model based on life cycle (and life stage included in life cycle) with
The life cycle (and life stage included in life cycle) for needing the intelligence instrument of prediction is phase
With.
Specifically, predicting unit 120 is by the factor correlativity information and the equipment of the intelligence instrument
Relevant information, the health assessment model set up as the life cycle based on the intelligence instrument it is defeated
Enter, and regard the output of health assessment model as the health forecast information for the intelligence instrument.
As a kind of preferred scheme of the present embodiment, the health forecast device 100 of the present embodiment also includes mould
Type optimizes unit (not shown).Model optimization unit optimizes described strong according to the health forecast information
Health evaluation model.
According to the scheme of the present embodiment, it is contemplated that life cycle and each life stage are to intelligence instrument
Health status influence, by analysis and management based on Life Circle, to realize intelligence instrument
Health status prediction, so as to accurate and clearly know intelligence instrument in whole life cycle
The global view of health status, is easy to the overall operation of intelligent grid；Accurately and it can be able to conveniently find in intelligence
The health effect factor in the whole life cycle and each life stage of energy instrument, and by based on number
Analyze to calculate the factor correlativity information between the health effect factor and health status according to the big data in storehouse,
The residual life of intelligence instrument can be predicted exactly, in order to make the maintenance or rotation that are directed to intelligence instrument
Deng suggestion, so as to extend the service life of intelligence instrument, and it is easy in time change intelligence instrument,
And then avoid making troubles to user due to changing not in time；In addition, can be believed according to the health forecast
Breath, optimizes the health assessment model, and from regardless of whether how environment and condition change, health can be achieved
The dynamic of evaluation model updates and optimized.
Fig. 4 is the dress for being used to obtain the health forecast information of intelligence instrument of another embodiment of the present invention
The structural representation put.This be used for obtain intelligence instrument health forecast information device (namely " health
Prediction meanss 100 ") include first obtains unit 110, predicting unit 120, the second obtaining unit 130
Unit 140 is set up with model.Wherein, the first obtains unit 110, predicting unit 120 are in ginseng
According to being described in detail in embodiment illustrated in fig. 3, it will not be repeated here.
Wherein, the second obtaining unit 130 and model set up unit 140 before first obtains unit 110
Perform operation.
Second obtaining unit 130 obtains the life corresponding to each life stage in the life cycle
Characteristic information.
Wherein, for each life stage, the vital signs information corresponding to the life stage includes any
The information related to the feature of the life stage.For example, life stage is the fabrication stage, intelligence instrument exists
Vital signs information corresponding to the life stage includes：The manufacturer of intelligence instrument, system architecture are set
Meter, module connected mode etc.；In another example, life stage is the haulage stage, and intelligence instrument is in the life rank
Vital signs information corresponding to section includes：Means of transportation (such as aircraft, automobile), origin and
Objective, weather condition, sealing situation, temporal information etc..
Specifically, the second obtaining unit 130 can obtain each in the life cycle using various ways
Vital signs information corresponding to life stage.For example, for a collection of intelligence instrument, the second obtaining unit
Each life rank in the life cycle for this batch of intelligence instrument that 130 acquisition operating personnel are inputted based on experience
Vital signs information corresponding to section.In another example, the second obtaining unit 130 is collected with same model
Data of multiple intelligence instruments in whole life cycle, and based on the plurality of intelligence of big data analytic definition
The life stage that the life cycle of instrument is included, and the vital signs letter corresponding to each life stage
Breath.
It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to this
The limitation of invention, it should be appreciated by those skilled in the art that any each life obtained in the life cycle
The implementation of vital signs information corresponding to the life stage, should be included in the scope of the present invention.
Model sets up unit 140 according to the vital signs information, predefined multiple health effects because
It is pre- between each health effect factor and health status in son, and the multiple health effect factor
If correlation information, the health assessment model corresponding with the intelligence instrument is set up.
Preferably, predefined multiple health effect factors for can physical representation can influence intelligence
The factor of influence of the health status of instrument, such as wetness, temperature.
Specifically, model sets up the life corresponding to each life stage of the unit 140 in life cycle
Order in characteristic information, predefined multiple health effect factors and the multiple health effect factor
Each the default correlation information between the health effect factor and health status, sets up health assessment model.
The health assessment model is used for the health status for predicting the intelligence instrument suitable for the life cycle.
It should be noted that preferably, also including in the health assessment model based on the pre- of life cycle
Determine prediction rule.
According to the scheme of the present embodiment, health assessment mould can be set up based on the life cycle of intelligence instrument
Type, so that the life stage in the health status and life cycle of intelligence instrument is connected, so that
Must by health assessment model can be reliable and quantitative prediction intelligence instrument health status, in order to and
When know the health status of intelligence instrument, so as to make in time and exactly corresponding safeguard or rotation
Deng decision-making.
Fig. 5 shows the universal architecture block diagram of the computer equipment 200 according to one embodiment of the invention.
Computer equipment 200 can include memory 210 and processor 220.Memory 210 can be stored can
Execute instruction.The executable instruction that processor 220 can be stored according to memory 210, is realized above-mentioned
For the operation for the health forecast information for obtaining intelligence instrument.
In addition, embodiments of the invention additionally provide a kind of machine readable media, it is stored thereon with executable
Instruction, when the executable instruction is performed so that machine performs the operation that processor 220 is realized.
Detailed displaying and explanation have been carried out to the present invention above by accompanying drawing and preferred embodiment, but this hair
It is bright to be not limited to these embodiments having revealed that, other schemes that those skilled in the art therefrom derive
Within protection scope of the present invention.
Claims (10)
1. a kind of method for being used to obtain the health forecast information of intelligence instrument, wherein, this method includes：
The factor correlativity information of the health status for predicting intelligence instrument is obtained, wherein, the factor
Correlation information is used to indicate the correlation between the health effect factor and health status；
By the factor correlativity information and the device-dependent message of the intelligence instrument, as based on institute
The input for the health assessment model that the life cycle of intelligence instrument is set up is stated, to obtain the intelligence instrument
Health forecast information.
2. the method according to claim requirement 1, wherein, obtained described for predicting Intelligent Instrument
Before the step of factor correlativity information of the health status of table, this method also includes：
Obtain the vital signs information corresponding to each life stage in the life cycle；
According to the vital signs information, predefined multiple health effect factors, and it is the multiple strong
The default correlation information between each health effect factor and health status in health factor of influence, sets up
The health assessment model corresponding with the intelligence instrument.
3. according to the method described in claim 1, wherein, it is described to obtain for predicting the strong of intelligence instrument
The step of factor correlativity information of health state, includes：
The database corresponding with the health assessment model is set up, the database is applied to for collection
The life cycle data of multiple intelligence instruments of the life cycle；
According to the life cycle data that current collection is arrived in the database, calculating obtains described for predicting
The factor correlativity information of the health status of intelligence instrument.
4. according to the method described in claim 1, wherein, the device-dependent message include the intelligence
Instrument be presently in its life cycle in life stage.
5. a kind of device for being used to obtain the health forecast information of intelligence instrument, wherein, the device includes：
First obtains unit, the factor correlativity letter for obtaining the health status for being used to predict intelligence instrument
Breath, wherein, the factor correlativity information is used to indicate the phase between the health effect factor and health status
Guan Xing；
Predicting unit, for the equipment correlation of the factor correlativity information and the intelligence instrument to be believed
Breath, the input for the health assessment model set up as the life cycle based on the intelligence instrument, to obtain
Obtain the health forecast information of the intelligence instrument.
6. the device according to claim requirement 5, wherein, the device is additionally included in described first and obtained
Perform before unit operation with lower unit：
Second obtaining unit, for obtaining the life corresponding to each life stage in the life cycle
Characteristic information；
Model sets up unit, for according to the vital signs information, predefined multiple health effects because
It is pre- between each health effect factor and health status in son, and the multiple health effect factor
If correlation information, the health assessment model corresponding with the intelligence instrument is set up.
7. device according to claim 5, wherein, the first obtains unit includes：
Database unit, it is described for setting up the database corresponding with the health assessment model
Database is used for the life cycle data for collecting multiple intelligence instruments suitable for the life cycle；
Computing unit, for according to the life cycle data that current collection is arrived in the database, calculating
To the factor correlativity information of the health status for predicting the intelligence instrument.
8. device according to claim 5, wherein, the device-dependent message includes the intelligence
Instrument be presently in its life cycle in life stage.
9. the device according to any one of claim 5 to 8, wherein, the device also includes：
Model optimization unit, for according to the health forecast information, optimizing the health assessment model.
10. device according to claim 5, wherein, the health forecast information is included below extremely
One item missing：
- be used for indicating intelligent instrument current health state information of forecasting；
- be used for indicating intelligent instrument future health status information of forecasting；
- for the maintenance suggestion information of the intelligence instrument；
- for the rotation advisory information of the intelligence instrument.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109376892A (en) * | 2018-06-12 | 2019-02-22 | 电子科技大学 | A kind of equipment state prediction method based on life cycle phase locating for equipment |
| CN112381258A (en) * | 2019-11-26 | 2021-02-19 | 国家电网公司 | Meter operation life cycle prediction method and device |
| CN113464274A (en) * | 2021-07-16 | 2021-10-01 | 合肥康尔信电力系统有限公司 | Diesel generator health state assessment system and method |
| CN117350174A (en) * | 2023-12-04 | 2024-01-05 | 国网天津市电力公司营销服务中心 | Method, system, electronic equipment and medium for predicting residual life of intelligent ammeter |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102495549A (en) * | 2011-11-22 | 2012-06-13 | 中联重科股份有限公司 | Remote maintenance decision system of engineering machinery and method thereof |
| CN103884371A (en) * | 2012-12-20 | 2014-06-25 | 中国科学院沈阳自动化研究所 | Fault diagnosis device and method based on WIA-PA wireless vibration instrument |
| US20140330747A1 (en) * | 2013-05-01 | 2014-11-06 | International Business Machines Corporation | Asset lifecycle management |
| CN104915552A (en) * | 2015-05-27 | 2015-09-16 | 百度在线网络技术（北京）有限公司 | Method and device for predicting system faults |
-
2016
- 2016-02-24 CN CN201610101960.6A patent/CN107121943B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102495549A (en) * | 2011-11-22 | 2012-06-13 | 中联重科股份有限公司 | Remote maintenance decision system of engineering machinery and method thereof |
| CN103884371A (en) * | 2012-12-20 | 2014-06-25 | 中国科学院沈阳自动化研究所 | Fault diagnosis device and method based on WIA-PA wireless vibration instrument |
| US20140330747A1 (en) * | 2013-05-01 | 2014-11-06 | International Business Machines Corporation | Asset lifecycle management |
| CN104915552A (en) * | 2015-05-27 | 2015-09-16 | 百度在线网络技术（北京）有限公司 | Method and device for predicting system faults |
Non-Patent Citations (1)
| Title |
|---|
| 徐晴 等: "基于多元线性回归分析的计量资产寿命预测与评价方法研究", 《电测与仪表》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109376892A (en) * | 2018-06-12 | 2019-02-22 | 电子科技大学 | A kind of equipment state prediction method based on life cycle phase locating for equipment |
| CN109376892B (en) * | 2018-06-12 | 2021-11-02 | 电子科技大学 | Equipment state prediction method based on life cycle stage of equipment |
| CN112381258A (en) * | 2019-11-26 | 2021-02-19 | 国家电网公司 | Meter operation life cycle prediction method and device |
| CN112381258B (en) * | 2019-11-26 | 2024-03-19 | 国家电网公司 | Meter operation life cycle prediction method and device |
| CN113464274A (en) * | 2021-07-16 | 2021-10-01 | 合肥康尔信电力系统有限公司 | Diesel generator health state assessment system and method |
| CN117350174A (en) * | 2023-12-04 | 2024-01-05 | 国网天津市电力公司营销服务中心 | Method, system, electronic equipment and medium for predicting residual life of intelligent ammeter |
| CN117350174B (en) * | 2023-12-04 | 2024-04-02 | 国网天津市电力公司营销服务中心 | Method, system, electronic equipment and medium for predicting residual life of intelligent ammeter |
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