CN107506832A - The hidden danger method for digging aided in is maked an inspection tour to monitoring - Google Patents
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Abstract
The present embodiment proposes makes an inspection tour the hidden danger method for digging aided in monitoring, belongs to electric apparatus monitoring field, including：The Real-time Monitoring Data of every grid equipment is obtained, increment covering is carried out to the Historical Monitoring data of every grid equipment according to Real-time Monitoring Data, obtains sample database；Reference threshold is set to the critical data in sample database, chooses the sample data beyond threshold value；According to the demand of tour, computing is merged to sample data and obtains operation result, using grid equipment corresponding to operation result as pending object.By threshold decision, compare the means such as logic, association analysis, upper layer application is supported in the result deposit Computer Cache will determine that, calculate, analyzed, farewell tradition needs manpower frequently to make an inspection tour, multi-disciplinary acquisition information is not complete, the problem of relational data inquiry is slow, different majors, related data are maked an inspection tour into operation and logical algorithm is packed, abundant mining data value, effectively finds the problem of potential and hidden danger.
Description
Technical field
The invention belongs to electric apparatus monitoring field, more particularly to makes an inspection tour the hidden danger method for digging aided in monitoring.
Background technology
The operation monitoring of current power equipment mainly relies on " in real time monitoring ", " specialty tour ", three kinds of " O＆M tour "
Mode." monitoring in real time " tour vacuum phase is oversize, and means are single, of low quality；" specialty is maked an inspection tour " not only the cycle is grown, due to each specialty
Stress difference, data are not comprehensive enough, and " O＆M tour " is passive waiting type, and presence is bad.
In summary, existing monitor mode can not effectively mining data be worth, effectively find the problem of potential and
Hidden danger.
The content of the invention
In order to solve shortcoming and defect present in prior art, the invention provides for filtering out possibility by threshold value
The hidden danger method for digging of the grid equipment of hidden danger be present.
In order to reach above-mentioned technical purpose, the invention provides make an inspection tour the hidden danger method for digging aided in, institute to monitoring
Hidden danger method for digging is stated, including：
The Real-time Monitoring Data of every grid equipment is obtained, the history of every grid equipment is supervised according to Real-time Monitoring Data
Survey data and carry out increment covering, obtain characterizing the sample database of every grid equipment last state；
Reference threshold is set to the critical data in sample database, chooses the sample data beyond threshold value；
According to the demand of tour, computing is merged to sample data and obtains operation result, by power network corresponding to operation result
Equipment is as pending object.
Optionally, the real-time detector data, including：
Transformer station, interval, grid equipment title, remote measurement description, remote measurement type, out-of-limit state, telemetering state, measured value,
Time of origin, limit value；
Wherein, remote measurement type includes electric current, voltage, active；
Out-of-limit state includes normal, the upper limit, the upper limit；
Telemetering state includes block, suppressed；
Limit value is included from EMS and fortune inspection limit dispatch.
Optionally, the hidden danger method for digging, including：
Obtain Real-time Monitoring Data of the every grid equipment at each moment；
Cluster Evaluation is carried out to the Real-time Monitoring Data at each moment, assessment result is maked an inspection tour to obtain to monitor；
Wherein, the Real-time Monitoring Data includes：Grid equipment coding, the monitoring of grid equipment running status, grid equipment
Parameter, grid equipment fault parameter.
Optionally, the hidden danger method for digging, including：
Monitoring is maked an inspection tour into assessment result includes making an inspection tour in pop-up window in monitoring corresponding with every grid equipment；
Optionally, the hidden danger method for digging, including：
Monitoring to multiple grid equipments is maked an inspection tour assessment result and filtered；
It will meet that the monitoring of the grid equipment of filter condition is maked an inspection tour assessment result and included corresponding with every grid equipment
In pop-up window.
Optionally, the hidden danger method for digging, including：
According to the monitoring sample data at the moment each in history of the grid equipment, simulated and calculated using default accident inversion
Method carries out simulation recurrence；
Simulation palingenetic process is analyzed, to draw every grid equipment fault message.
Optionally, the hidden danger method for digging, including：
According to grid equipment structure, grid equipment fault tree is established；
Using fault model probability calculation model and probability of malfunction computation model, grid equipment historic defects recording gauge is utilized
Calculate the probability of malfunction of events at different levels in the grid equipment fault tree；
Wherein, the multistage event for forming tree is included in grid equipment fault tree.
Optionally, the hidden danger method for digging, including：
It is deep according to the formulation such as grid maintenance working condition, new equipment operation startup, climatic environment feature, network load situation
Degree makes an inspection tour theme；
According to depth make an inspection tour theme, deeply make an inspection tour all kinds of monitoring charts and picture, to monitoring data carry out trend compare and
Association analysis.
Optionally, the hidden danger method for digging, including：
Customization aid bag is chosen, carries out depth using the instrument provided in kit and makes an inspection tour.
Optionally, the hidden danger method for digging, including：
Treat process object and carry out manual confirmation, analysis, judge grid equipment corresponding to pending object with the presence or absence of hidden
Suffer from.
The beneficial effect that technical scheme provided by the invention is brought is：
By threshold decision, the means such as logic, association analysis are compared, the result deposit computer will determine that, calculate, analyzed
Upper layer application is supported in caching, farewell tradition needs manpower frequently to make an inspection tour, multi-disciplinary acquisition information is not complete, relational data inquiry
The problem of slow, different majors, related data are maked an inspection tour into operation and logical algorithm is packed, abundant mining data value, had
Effect ground finds the problem of potential and hidden danger.
Brief description of the drawings
In order to illustrate more clearly of technical scheme, the required accompanying drawing used in being described below to embodiment
It is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, general for this area
For logical technical staff, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet provided by the invention that the hidden danger method for digging aided in is maked an inspection tour to monitoring；
Fig. 2 is another schematic flow sheet provided by the invention that the hidden danger method for digging aided in is maked an inspection tour to monitoring.
Embodiment
To make the structure of the present invention and advantage clearer, the structure of the present invention is made further below in conjunction with accompanying drawing
Description.
Embodiment one
The invention provides the hidden danger method for digging aided in is maked an inspection tour to monitoring, as shown in figure 1, the hidden danger excavation side
Method, including：
11st, the Real-time Monitoring Data of every grid equipment is obtained, every grid equipment is gone through according to Real-time Monitoring Data
History Monitoring Data carries out increment covering, obtains characterizing the sample database of every grid equipment last state；
12nd, reference threshold is set to the critical data in sample database, chooses the sample data beyond threshold value；
13rd, according to the demand of tour, computing is merged to sample data and obtains operation result, will be electric corresponding to operation result
Net equipment is as pending object.
In force, in order to find hidden danger that may be present in grid equipment, present embodiments provide based on power network
The Monitoring Data of equipment judges that grid equipment whether there is the hidden danger method for digging of hidden danger.Specific method includes following three step：
First, the Real-time Monitoring Data of every grid equipment is obtained, Historical Monitoring data are increased based on Real-time Monitoring Data
Amount covering.Here why increment covering is carried out, is because traditional tour result is all from Historical Monitoring data, passes through number
The last state of grid equipment is known according to the mode of retrospect, such way carries out full table scan to Historical Monitoring tables of data,
Database is returned while efficiency is poor and brings great burden, system allomeric function can be influenceed.In view of drawbacks described above, this Shen
Real-time increment covering is please carried out to Historical Monitoring data based on the Real-time Monitoring Data got, i.e., in Historical Monitoring data
On the basis of supplement renewal Real-time Monitoring Data relative to the additional part of Historical Monitoring data, can be with the so when making an inspection tour
One time obtained the newest state value of grid equipment.
Secondly, after Real-time Monitoring Data is got, if the obtained data volume of accumulation is less, can therefrom send out quickly
Existing problem data, but if magnanimity continually generates, it is necessary to automatic screening is carried out, way is in obtained monitoring number
Threshold value, only data exceeded threshold are set according to interior key dimension, can be just selected.The threshold value actually established is acceptable model
The upper limit or lower limit in enclosing, the order of severity of problem is caused according to hidden danger, the upper limit can also be finely divided, as above the upper limit, on
Upper limit etc., the limit value of all latitudes are required for being configured, and can reduce the scope.
Finally, after sample data is got, it may can also require and merge computing with other module datas, and will knot
Fruit is recorded.Here union operation refers on the basis of sample data is filtered out, and increases electricity corresponding with the sample data
Real-time Monitoring Data caused by other connected grid equipments of net equipment.Here why by sample data and other grid equipments
Real-time Monitoring Data merge computing, allow for the not completely self-contained individual of grid equipment, some failures are by more
Multiple modules that individual grid equipment is formed are jointly caused, therefore the sample data that single grid equipment obtains is combined into it here
The Real-time Monitoring Data of his grid equipment merges processing, is easy to be predicted the defects of each module.
Optionally, the real-time detector data, including：
Transformer station, interval, grid equipment title, remote measurement description, remote measurement type, out-of-limit state, telemetering state, measured value,
Time of origin, limit value；
Wherein, remote measurement type includes electric current, voltage, active；
Out-of-limit state includes normal, the upper limit, the upper limit；
Telemetering state includes block, suppressed；
Limit value is included from EMS and fortune inspection limit dispatch.
In force, in order to fully be detected to the state of grid equipment, the Real-time Monitoring Data of acquisition is comprising numerous
Content, be typically include transformer station, interval, grid equipment title, remote measurement description, remote measurement type, out-of-limit state, telemetering state,
Measured value, time of origin, limit value.
Optionally, the hidden danger method for digging, as shown in Fig. 2 including：
21st, Real-time Monitoring Data of the every grid equipment at each moment is obtained；
22nd, Cluster Evaluation is carried out to the Real-time Monitoring Data at each moment, assessment result is maked an inspection tour to obtain to monitor；
Wherein, the Real-time Monitoring Data includes：Grid equipment coding, the monitoring of grid equipment running status, grid equipment
Parameter, grid equipment fault parameter.
In force, the hidden danger method for digging that the present embodiment proposes, in addition to the step 11-13 that aforementioned list goes out, is also wrapped
Include the step as shown in step 21 to 22.
Wherein the content of step 21 is similar to the content that Real-time Monitoring Data is obtained in step 11, needs in step 22 pair
Obtained Real-time Monitoring Data carries out Cluster Evaluation.
As its name suggests, Cluster Evaluation is the process that the result obtained to cluster is assessed.Under existing conditions, assess
Method mainly include：
(1) outside method, according to the result of known true packet evaluation cluster analysis, construction confusion matrix disease, which is summarized, to be included
Whether any pair of record of two records belongs to same packet, and the accuracy rate of cluster analysis is calculated according to confusion matrix.
(2) internal law, when truly packet situation is unknown, can use record characteristic vector calculate in quadratic sum, outer flat
Just and as evaluation index.
(3) when only two variables, cluster result is assessed using method for visualizing.Such as ggplot () letter can be called
Number draws scatter diagram, identifies each cluster and respective central point, typically considers following factor：
1) whether preferably it is separated from each other between clustering；
2) it whether there is the cluster of only several points；
3) with the presence or absence of the close central point leaned on.
After the real-time monitoring data to obtaining carries out Cluster Evaluation, the typical case of Real-time Monitoring Data sign after being classified
Data, and then determine that assessment result is maked an inspection tour in the monitoring that the grid equipment fault parameter corresponding to typical data is formed.
Optionally, the hidden danger method for digging, including：
23rd, assessment result is maked an inspection tour to be shown in monitoring tour pop-up window corresponding with every grid equipment；
In force, after performing step 21-22 and getting monitoring tour assessment result, it is also necessary to make an inspection tour monitoring and assess
As a result send to monitoring and make an inspection tour in terminal, being maked an inspection tour so as to the monitoring in the display interface for making an inspection tour terminal is monitored in pop-up window will
Monitoring is maked an inspection tour assessment result and shown, so as to complete the process of result prompting.
Optionally, the hidden danger method for digging, including：
231st, the monitoring to grid equipment is maked an inspection tour assessment result and filtered；
232nd, will meet the grid equipment of filter condition monitoring make an inspection tour assessment result include with every grid equipment pair
In the pop-up window answered.
In force, the specific content also included as shown in step 231,232 of abovementioned steps 23.
Shown after getting monitoring and making an inspection tour assessment result, it is necessary to which monitoring is maked an inspection tour into assessment result in the form of pop-up
Show.It is contemplated that the display mode of pop-up can be limited content to be displayed, therefore before being shown, it is also necessary to perform
Content as shown in step 231 is filtered, and filters out the content for being not suitable for being shown with pop-up mode, in after filtering
Hold to retransmit to the display interface of monitoring tour terminal corresponding with every grid equipment and shown in the form of pop-up window.
Optionally, the hidden danger method for digging, including：
According to the monitoring sample data at the moment each in history of the grid equipment, simulated and calculated using default accident inversion
Method carries out simulation recurrence；
Simulation palingenetic process is analyzed, to draw every grid equipment fault message.
In force, according to default hazard model, all kinds of accident simulations is established and deduce logic, using the grid equipment
Moment each in history monitoring sample data, deduce out every grid equipment fault message.
Optionally, the hidden danger method for digging, including：
According to grid equipment structure, grid equipment fault tree is established；
Using fault model probability calculation model and probability of malfunction computation model, grid equipment historic defects recording gauge is utilized
Calculate the probability of malfunction of events at different levels in the grid equipment fault tree；
Wherein, the multistage event for forming tree is included in grid equipment fault tree.
In force, according to device structure, Fault tree is established, includes in the Fault tree and forms tree-shaped knot
The multistage event of structure；Using fault model probability calculation model and probability of malfunction computation model, device history defect record is utilized
Calculate the probability of malfunction of events at different levels in the Fault tree.
Optionally, the hidden danger method for digging, including：
It is deep according to the formulation such as grid maintenance working condition, new equipment operation startup, climatic environment feature, network load situation
Degree makes an inspection tour theme；
According to depth make an inspection tour theme, deeply make an inspection tour all kinds of monitoring charts and picture, to monitoring data carry out trend compare and
Association analysis.
In force, in specific implementation procedure, in order to that may be present to grid equipment based on Real-time Monitoring Data
Hidden danger is analyzed, it is also proposed that previously according to grid maintenance working condition, new equipment operation startup, climatic environment feature, electricity
Net load condition etc. formulates depth and makes an inspection tour theme, and make an inspection tour theme then according to depth is monitored to grid equipment, obtains monitoring
Chart and picture, so as to carry out trend comparison and association analysis to monitoring data, the defects of determining to there may be in grid equipment.
Optionally, the hidden danger method for digging, including：
Customization aid bag is chosen, carries out depth using the instrument provided in kit and makes an inspection tour.
In force, monitoring information analyst is special according to grid maintenance working condition, new equipment operation startup, climatic environment
Point, network load situation etc. formulate depth and make an inspection tour theme, deeply make an inspection tour all kinds of monitoring charts and picture, monitoring data is become
Gesture compares and association analysis, can also choose customization aid bag, carries out depth using the instrument provided in kit and makes an inspection tour.
Optionally, the hidden danger method for digging, including：
Treat process object and carry out manual confirmation, analysis, judge grid equipment corresponding to pending object with the presence or absence of hidden
Suffer from.
In force, in order to improve the reliability of the hidden danger method for digging of the application proposition, carried out by foregoing teachings
On the basis of processing, it is also necessary to which the step of introducing manual analysis, by working experience, the pending correspondence obtained to step 13 is entered
The further analysis of row, judges that pending object whether there is hidden danger.
The present embodiment proposes and the hidden danger method for digging aided in is maked an inspection tour to monitoring, including：Obtain every grid equipment
Real-time Monitoring Data, increment covering is carried out to the Historical Monitoring data of every grid equipment according to Real-time Monitoring Data, obtained
Characterize the sample database of every grid equipment last state；Reference threshold, choosing are set to the critical data in sample database
Take the sample data beyond threshold value；According to the demand of tour, computing is merged to sample data and obtains operation result, by computing knot
Grid equipment corresponding to fruit is as pending object.By threshold decision, the means such as logic, association analysis are compared, will determine that, count
Calculate, support upper layer application in the result of analysis deposit Computer Cache, farewell tradition needs manpower frequently to make an inspection tour, multi-disciplinary acquisition
The problem of information is not complete, and relational data inquiry is slow, different majors, related data are maked an inspection tour into operation and logical algorithm is beaten
Bag, abundant mining data value, effectively finds the problem of potential and hidden danger.
Each sequence number in above-described embodiment is for illustration only, does not represent the elder generation during the assembling or use of each part
Order afterwards.
Embodiments of the invention are the foregoing is only, are not intended to limit the invention, it is all in the spirit and principles in the present invention
Within, any modification, equivalent substitution and improvements made etc., it should be included in the scope of the protection.
Claims (10)
1. the hidden danger method for digging aided in is maked an inspection tour in a pair monitoring, it is characterised in that the hidden danger method for digging, including：
The Real-time Monitoring Data of every grid equipment is obtained, the Historical Monitoring number according to Real-time Monitoring Data to every grid equipment
According to increment covering is carried out, obtain characterizing the sample database of every grid equipment last state；
Reference threshold is set to the critical data in sample database, chooses the sample data beyond threshold value；
According to the demand of tour, computing is merged to sample data and obtains operation result, by grid equipment corresponding to operation result
As pending object.
2. according to claim 1 make an inspection tour the hidden danger method for digging aided in monitoring, it is characterised in that described real-time
Data are detected, including：
Transformer station, interval, grid equipment title, remote measurement description, remote measurement type, out-of-limit state, telemetering state, measured value, generation
Time, limit value；
Wherein, remote measurement type includes electric current, voltage, active；
Out-of-limit state includes normal, the upper limit, the upper limit；
Telemetering state includes block, suppressed；
Limit value is included from EMS and fortune inspection limit dispatch.
3. according to claim 1 make an inspection tour the hidden danger method for digging aided in monitoring, it is characterised in that the hidden danger
Method for digging, including：
Obtain Real-time Monitoring Data of the every grid equipment at each moment；
Cluster Evaluation is carried out to the Real-time Monitoring Data at each moment, assessment result is maked an inspection tour to obtain to monitor；
Wherein, the Real-time Monitoring Data includes：Grid equipment coding, grid equipment running status, grid equipment monitoring parameter,
Grid equipment fault parameter.
4. according to claim 3 make an inspection tour the hidden danger method for digging aided in monitoring, it is characterised in that the hidden danger
Method for digging, including：
Monitoring is maked an inspection tour into assessment result includes making an inspection tour in pop-up window in monitoring corresponding with every grid equipment.
5. the hidden danger method for digging aided in is maked an inspection tour to monitoring according to claim 3 or 4, it is characterised in that described
Hidden danger method for digging, including：
Monitoring to multiple grid equipments is maked an inspection tour assessment result and filtered；
It will meet that the monitoring of the grid equipment of filter condition is maked an inspection tour assessment result and included in pop-up corresponding with every grid equipment
In window.
6. according to claim 1 make an inspection tour the hidden danger method for digging aided in monitoring, it is characterised in that the hidden danger
Method for digging, including：
According to the monitoring sample data at the moment each in history of the grid equipment, entered using default accident inversion simulation algorithm
Row simulation is recurred；
Simulation palingenetic process is analyzed, to draw every grid equipment fault message.
7. according to claim 1 make an inspection tour the hidden danger method for digging aided in monitoring, it is characterised in that the hidden danger
Method for digging, including：
According to grid equipment structure, grid equipment fault tree is established；
Using fault model probability calculation model and probability of malfunction computation model, calculated using grid equipment historic defects record
The probability of malfunction of events at different levels in the grid equipment fault tree；
Wherein, the multistage event for forming tree is included in grid equipment fault tree.
8. according to claim 1 make an inspection tour the hidden danger method for digging aided in monitoring, it is characterised in that the hidden danger
Method for digging, including：
Depth is formulated according to grid maintenance working condition, new equipment operation startup, climatic environment feature, network load situation etc. to patrol
Depending on theme；
Theme is maked an inspection tour according to depth, deeply makes an inspection tour all kinds of monitoring charts and picture, trend comparison and association are carried out to monitoring data
Analysis.
9. according to claim 8 make an inspection tour the hidden danger method for digging aided in monitoring, it is characterised in that the hidden danger
Method for digging, including：
Customization aid bag is chosen, carries out depth using the instrument provided in kit and makes an inspection tour.
10. making an inspection tour the hidden danger method for digging aided in monitoring according to any one of claim 1 to 9, its feature exists
In, the hidden danger method for digging, including：
Treat process object and carry out manual confirmation, analysis, judge that grid equipment corresponding to pending object whether there is hidden danger.
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| CN201710557973.9A CN107506832B (en) | 2017-07-10 | 2017-07-10 | Hidden danger mining method for assisting monitoring tour |
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| CN201710557973.9A CN107506832B (en) | 2017-07-10 | 2017-07-10 | Hidden danger mining method for assisting monitoring tour |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110245163A (en) * | 2019-01-17 | 2019-09-17 | 国网浙江德清县供电有限公司 | A kind of Operation of Electric Systems hidden troubles removing method |
| CN113537415A (en) * | 2021-09-17 | 2021-10-22 | 中国南方电网有限责任公司超高压输电公司广州局 | Convertor station inspection method and device based on multi-information fusion and computer equipment |
| CN116030422A (en) * | 2023-03-28 | 2023-04-28 | 深圳市海威恒泰智能科技有限公司 | Visual video monitoring intelligent operation and maintenance management system |
| CN116030422B (en) * | 2023-03-28 | 2023-05-30 | 深圳市海威恒泰智能科技有限公司 | Visual video monitoring intelligent operation and maintenance management system |
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