CN109189018A - A kind of ladle baking facility on-line fault diagnosis system - Google Patents
A kind of ladle baking facility on-line fault diagnosis system Download PDFInfo
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- CN109189018A CN109189018A CN201811040536.0A CN201811040536A CN109189018A CN 109189018 A CN109189018 A CN 109189018A CN 201811040536 A CN201811040536 A CN 201811040536A CN 109189018 A CN109189018 A CN 109189018A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 55
- 230000008569 process Effects 0.000 claims abstract description 49
- 238000012545 processing Methods 0.000 claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 230000005540 biological transmission Effects 0.000 claims description 19
- 238000001914 filtration Methods 0.000 claims description 5
- 230000007246 mechanism Effects 0.000 claims description 5
- 230000001502 supplementing effect Effects 0.000 claims description 4
- 230000004807 localization Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 claims description 2
- 238000003064 k means clustering Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 6
- 241000854291 Dianthus carthusianorum Species 0.000 description 4
- 229910000831 Steel Inorganic materials 0.000 description 3
- 239000010959 steel Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000009628 steelmaking Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/4186—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by protocol, e.g. MAP, TOP
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- 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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
- General Factory Administration (AREA)
Abstract
The invention of this divisional application provides a kind of ladle baking facility on-line fault diagnosis system, including data acquisition conveyer system, data server and central processing unit；The data acquire conveyer system, for acquiring the process data of ladle baking facility and process data being sent to data server；The data server is used to the process data received being uploaded to the central processing unit；The central processing unit, in the problem of for the process data of the ladle baking facility received to be stored in central processing unit case library, data in the case library of every problem data and the central processing unit in problem case library are subjected to similarity comparison, the corresponding fault type of data in the maximum case library of similarity is pushed out as the fault diagnosis result of this problem data, and by the fault diagnosis result.The present invention can be improved the reliability and efficiency of diagnostic result, realize the on-line monitoring of ladle baking facility, guarantee safety in production.
Description
Technical field
The application be October 10, Patent No. 2016108857017, invention and created name one in 2016 applying date
The divisional application of the patent of invention of kind ladle baking facility on-line fault diagnosis system.The present invention relates to monitoring technical fields, specifically
It is related to a kind of ladle baking facility on-line fault diagnosis system.
Background technique
Since ladle baking facility is more in each steel mill's station and use is very frequent, inevitably occurs event in use process
Barrier, and failure has very strong hysteresis quality.In the related technology, only after field worker discovering device or data exception, just meeting
Arrangement personnel repair ladle baking facility, and this subsequent maintenance mode will affect production run, thereby increases and it is possible to will lead to peace
Full accident.Since steel mill ladle baking facility quantity is more, and need to be acquired processing to its process data in real time, and pass through
Prediction judges whether the ladle baking facility breaks down, and single or minicomputer treatment effeciency is low, and cannot be right in real time
Ladle baking facility is monitored in real time.
Summary of the invention
The purpose of the invention is to solve above-mentioned shortcoming in the prior art and provide a kind of ladle baking facility
On-line fault diagnosis system.
The purpose of the invention is achieved through the following technical solutions:
A kind of ladle baking facility on-line fault diagnosis system, including data acquisition conveyer system, data server and center
Processor；The data acquire conveyer system, for acquiring the process data of ladle baking facility and process data being sent to number
According to server；The data server is used to the process data received being uploaded to the central processing unit；The centre
Device is managed, it, will the problem of for the process data of the ladle baking facility received to be stored in the central processing unit in case library
Every problem data in problem case library and the data in the case library of the central processing unit carry out similarity comparison,
Using the corresponding fault type of data in the maximum case library of similarity as the fault diagnosis result of this problem data,
And the fault diagnosis result is pushed out.
The invention the utility model has the advantages that can be improved the reliability and efficiency of diagnostic result, and push fault diagnosis knot
Fruit reminds staff to overhaul and adjust corresponding steel-making plan arrangement to the ladle baking facility that will be broken down in advance,
It realizes the on-line monitoring of ladle baking facility, guarantees safety in production.
Detailed description of the invention
Innovation and creation are described further using attached drawing, but the embodiment in attached drawing does not constitute and appoints to the invention
What is limited, for those of ordinary skill in the art, without creative efforts, can also be according to the following drawings
Obtain other attached drawings.
Fig. 1 is structure of the invention connection schematic diagram；
Fig. 2 is the structural schematic diagram of data acquisition conveyer system.
Appended drawing reference:
Data acquire conveyer system 1, data server 2, central processing unit 3, mobile terminal 4, data monitoring unit 11, number
According to processing unit 12, data transmission unit 13.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, the ladle baking facility on-line fault diagnosis system of the present embodiment, including data acquire conveyer system
1, data server 2 and central processing unit 3；The data acquire conveyer system 1, for acquiring the process data of ladle baking facility
And process data is sent to data server 2；The data server 2 is used to for the process data received being uploaded to described
Central processing unit 3；The central processing unit 3, for the process data of the ladle baking facility received to be stored in the center
In the problem of processor 3 case library, by the history case of every problem data and the central processing unit 3 in problem case library
Data in library carry out similarity comparison, using the corresponding fault type of data in the maximum case library of similarity as this
The fault diagnosis result of problem data, and the fault diagnosis result is pushed out.
Preferably, the system also includes mobile terminal 4, the mobile terminal 4 is connected with the central processing unit 3, uses
In the fault diagnosis result for receiving the push of central processing unit 3.
Preferably, the mobile terminal 4 is mobile phone.
The above embodiment of the present invention can be improved the reliability and efficiency of diagnostic result, and pushes fault diagnosis result and remind
Staff overhauls to the ladle baking facility that will be broken down in advance and adjusts corresponding steel-making plan arrangement, realizes steel
The on-line monitoring of packet roaster guarantees safety in production.
Preferably, the data acquisition conveyer system 1 includes that data monitoring unit 11, data processing unit 12 and data pass
Defeated unit 13；The data monitoring unit 11 is used to cooperate carry out ladle by the sensor node constructed by each sensor
The monitoring of roaster, and export the process data of the ladle baking facility of each sensor node monitoring；The data processing unit 12
Process data for monitoring to each sensor node pre-processes, to obtain effective process data；The data transmission
Unit 13 is used to carry out the transmission of process data using preset data transmission mechanism.
Preferably, the data monitoring unit 11 includes sensor locator unit and data revise subelemen；The biography
For carrying out sensor node localization, the progress sensor node localization specifically includes sensor locator unit:
(1) by small part sensor node deployment on known position coordinates, as beaconing nodes, according to beaconing nodes
The local coordinate system for meeting domestic environment is established in position；
(2) coordinate for assuming unknown node is (x, y), and the beaconing nodes coordinate that can be in communication with is respectively (x1,
y1), (x2,y2) ..., (xn,yn), it is the center of circle that unknown node, which is located at each beaconing nodes, and communication radius is the intersection of the circle of radius
Domain takes the region any point as the pre- reconnaissance of unknown node coordinate, the difference letter of the pre- reconnaissance of unknown node coordinate to beaconing nodes
Number are as follows:
In formula, riFor the pre- reconnaissance of unknown node coordinate to (xi,yi) distance, i=1,2 ..., n utilize maximal possibility estimation
Method seeks the minimum value of the formula, as unknown node coordinate position；
The data correction subelement is for being modified monitoring data of the sensor under non-standard environmental, modifying factor
Sub- σ are as follows:
In formula, T0For the normal temperature that sensor uses, T is environment temperature when sensor uses.
This preferred embodiment realizes the accurate measurement of sensor positioning and data.
Preferably, the data processing unit 12 includes data filtering module and Supplementing Data module, the data filtering
Module is used for the process data by intelligent gateway filter false, and the Supplementing Data module is used to fill up the number of passes excessively of loss
According to；
The process data by intelligent gateway filter false, comprising:
(1) removal does not fall within the process data in the effective range of sensor reading；
(2) processing is filtered to remaining process data, specifically:
1) assume that the sensing frequency of all the sensors is consistent and sliding window size is A, utilize Jaccard similarity function
Calculate two sensor SI、SJSimilarity Sim (the x of reading behaviorI(t),xJ(t)), wherein xI(t) sensor S is indicatedIWhen
Between t when level readings, xJ(t) sensor S is indicatedJLevel readings in time t；
2) sensor S is definedI、SJInitial interim similarity are as follows:
The interim similarity at K+1 moment are as follows:
In formula, xI(A+t) sensor S is indicatedIInitial reading behavior, μ are adjustable variable of setting, the value model of μ
It encloses for [- 1,1]；
3) shared M sensor is set, sensor S is come fromIAn event query q, frequently inquired in the past by sensor
Data than those seldom by sensor SIThe data and sensor S of readingIWith more correlation, sensor S is calculatedISequence
Grade point QL(q,SI), calculation formula are as follows:
In formula, n (q, SI) it is in past sensor SIEvent query number for inquiry q to some themes, N (q, SI)
Indicate sensor SIFor the event query sum of inquiry q, B is smoothing factor；
4) sensor S is judged using ballot methodIIt is current reading whether be false readings, set discriminant function are as follows:
In formula, net (I) indicates sensor SINeighbours' set of sensors, VDecisionj(1) neighbours' sensor S is indicatedJ
To sensor SIMake and choosing in a vote, chosen two classes in a vote, one kind be it is positive, it is another kind of be it is passive, choose in a vote for
When positive, VDecisionj(1)=1 when, choosing in a vote as passiveness, VDecisionj(I)=0；PIWhen > 0, sensor S is indicatedI
Current reading be normal reading, PIWhen < 0, sensor S is indicatedIIt is current reading be false readings.
The process data for filling up loss, comprising:
(1) clustering processing of process data is carried out using K-means clustering method；
(2) to the missing values in same class carry out be data filling.
When the process data of this preferred embodiment filter false, it is contemplated that between sensor and neighbor node and environment
Relevance, the importance for reflecting sensor by the way that sort algorithm is each sensor one weight appropriate of distribution, so that it is right
The collected data of sensor are accepted or rejected abnormal data caused by filter wrong data and environment in collection process, are mentioned
The high precision of filtering；Using first cluster fill up missing values afterwards by the way of fill up the process data of loss, consideration that can be preferable
The local characteristics of data improve the precision of data filling.
In one embodiment, the preset data transmission mechanism includes:
(1) collected data are transferred to affiliated cluster within the period respectively distributed by member in a manner of single-hop in cluster
Leader cluster node Ci, leader cluster node CiIntegration processing is carried out to the process data being collected into；
(2) leader cluster node CiOther leader cluster nodes are selected according to the following formula, to determine that it routes candidate cluster head node set CN:
In formula, diBIndicate leader cluster node CiTo the distance of base station, djBIndicate leader cluster node CjTo the distance of base station, dijIt indicates
Leader cluster node CiTo leader cluster node CjDistance, NSiIndicate leader cluster node CiDump energy rank, NSjIndicate leader cluster node Cj
Dump energy rank；
(3) if routing candidate cluster head node set CN is sky, leader cluster node CiProcess data is directly sent to base station,
And jump to (6)；
(4) if only existing one than leader cluster node C in routing candidate cluster head node setiIt is closer or remaining apart from base station
Higher other leader cluster nodes C of energy rankj, then leader cluster node C is selectedjTurn as next-hop routing node, and by process data
Issue leader cluster node Cj, make leader cluster node CjAs new leader cluster node Ci, and jump back to (2)；
(5) if there are multiple than leader cluster node C in routing candidate cluster head node setiApart from base station is closer or residual energy
Not higher other leader cluster nodes C of magnitudej, then selection is so that the smallest leader cluster node C of repeating process data communication expensejAs
Next-hop routing node, and process data is transmitted to leader cluster node Cj, make leader cluster node CjAs new leader cluster node Ci, and
Jump back to (2)；
(6) base station receives leader cluster node CiThe process data of transmission.
This preferred embodiment carries out the transmission of process data using preset data transmission mechanism, makes leader cluster node
Dump energy distribution is more balanced, efficiently solves apart from base station compared with close or consume too early apart from the farther away node energy in base station
Complete problem, to extend the life cycle of entire data transmission network.
In another embodiment, the preset data transmission mechanism includes:
Different transmission modes is used for different transmission size of data and transmission range, defines transfer function Tr:
In formula, S is transmission size of data, S0For data transfer size cut off value, S0=1MB, D are transmission range, D0To pass
Defeated distance cut off value, D0=10m；
If D < D0, then data communication is carried out using bluetooth,
If D >=D0And S≤S0, then data communication is carried out using zigbee network,
If D >=D0And S > S0, then communicated using WIFI.
This preferred embodiment realizes the communication of the low energy consumption of the process data of ladle baking facility, high-speed.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (4)
1. a kind of ladle baking facility on-line fault diagnosis system, characterized in that acquire conveyer system, data server including data
And central processing unit；The data acquire conveyer system, for acquiring the process data of ladle baking facility and passing process data
It send to data server；The data server is used to the process data received being uploaded to the central processing unit；It is described
Central processing unit, case library the problem of for the process data of the ladle baking facility received to be stored in the central processing unit
In, the data in the case library of every problem data and the central processing unit in problem case library are subjected to similarity
Comparison, using the corresponding fault type of data in the maximum case library of similarity as the fault diagnosis of this problem data
As a result, and the fault diagnosis result is pushed out；The data acquisition conveyer system includes data monitoring unit and data
Processing unit；The data monitoring unit, which is used to cooperate by the sensor node constructed by each sensor, carries out ladle baking
The monitoring of roasting device, and export the process data of the ladle baking facility of each sensor node monitoring；The data processing unit is used for
The process data of each sensor node monitoring is pre-processed, to obtain effective process data；The data processing unit
Including data filtering module and Supplementing Data module, the data filtering module is used for the process by intelligent gateway filter false
Data, the Supplementing Data module are used to fill up the process data of loss；It is described that number of passes is crossed by intelligent gateway filter false
According to, comprising:
(1) removal does not fall within the process data in the effective range of sensor reading；
(2) processing is filtered to remaining process data；
The process data for filling up loss, comprising:
(1) clustering processing of process data is carried out using K-means clustering method；
(2) missing values in same class are carried out with the filling of missing data；
The data monitoring unit includes sensor locator unit and data revise subelemen；The sensor locator unit
For carrying out sensor node localization；The data correction subelement is for the monitoring data to sensor under non-standard environmental
It is modified.
2. a kind of ladle baking facility on-line fault diagnosis system according to claim 1, characterized in that the system is also wrapped
Mobile terminal is included, the mobile terminal is connected with the central processing unit, for receiving the failure of the central processing unit push
Diagnostic result.
3. a kind of ladle baking facility on-line fault diagnosis system according to claim 2, characterized in that the mobile terminal
For mobile phone.
4. a kind of ladle baking facility on-line fault diagnosis system according to claim 1, characterized in that the data acquisition
Conveyer system further includes data transmission unit, and the data transmission unit is used to carry out using preset data transmission mechanism
The transmission of process data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811040536.0A CN109189018A (en) | 2016-10-10 | 2016-10-10 | A kind of ladle baking facility on-line fault diagnosis system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811040536.0A CN109189018A (en) | 2016-10-10 | 2016-10-10 | A kind of ladle baking facility on-line fault diagnosis system |
| CN201610885701.7A CN106292612B (en) | 2016-10-10 | 2016-10-10 | A kind of ladle baking facility on-line fault diagnosis system |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610885701.7A Division CN106292612B (en) | 2016-10-10 | 2016-10-10 | A kind of ladle baking facility on-line fault diagnosis system |
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| CN201610885701.7A Active CN106292612B (en) | 2016-10-10 | 2016-10-10 | A kind of ladle baking facility on-line fault diagnosis system |
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| CN109212150A (en) * | 2018-09-12 | 2019-01-15 | 深圳万发创新进出口贸易有限公司 | A kind of sewage monitoring system |
| CN117319179B (en) * | 2023-11-28 | 2024-06-21 | 中南大学 | Equipment abnormality monitoring method and system based on mechanism model and industrial Internet of Things |
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| CN102184267A (en) * | 2011-04-14 | 2011-09-14 | 上海同岩土木工程科技有限公司 | Abnormal data filtration method for interference elimination of automatic data acquisition system |
| CN102456060A (en) * | 2010-10-28 | 2012-05-16 | 株式会社日立制作所 | Information processing device and information processing method |
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| CN106292612A (en) | 2017-01-04 |
| CN106292612B (en) | 2018-12-28 |
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Application publication date: 20190111 |
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