CN106406257A - Iron ore flotation concentrate grade soft measurement method and system based on case-based reasoning - Google Patents
Iron ore flotation concentrate grade soft measurement method and system based on case-based reasoning Download PDFInfo
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- CN106406257A CN106406257A CN201610902423.1A CN201610902423A CN106406257A CN 106406257 A CN106406257 A CN 106406257A CN 201610902423 A CN201610902423 A CN 201610902423A CN 106406257 A CN106406257 A CN 106406257A
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- 238000005188 flotation Methods 0.000 title claims abstract description 89
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 title claims abstract description 64
- 239000012141 concentrate Substances 0.000 title claims abstract description 52
- 229910052742 iron Inorganic materials 0.000 title claims abstract description 32
- 238000000691 measurement method Methods 0.000 title claims abstract description 13
- 238000004519 manufacturing process Methods 0.000 claims abstract description 24
- 230000005540 biological transmission Effects 0.000 claims description 15
- 238000005259 measurement Methods 0.000 claims description 14
- 239000003795 chemical substances by application Substances 0.000 claims description 6
- 238000000034 method Methods 0.000 abstract description 9
- 238000001514 detection method Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 3
- 238000005273 aeration Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002790 cross-validation Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 239000000126 substance Substances 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]
- G05B19/41875—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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- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Manufacture And Refinement Of Metals (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an iron ore flotation concentrate grade soft measurement method and system based on case-based reasoning. The method comprises the following steps: extracting historical production data from the iron ore flotation production process; constructing a flotation case library; carrying out case retrieval in the flotation case library to obtain a group of similarity values; ranking the similarity values from large to small, and selecting case descriptions corresponding to the front n similarity values as reference cases of the current working condition; calculating weighted average value of case solutions of the n reference cases, and carrying out case reuse to obtain new case solutions; carrying out case retrieval to find the case description having the maximum similarity value; and if the maximum similarity value is larger than a similarity threshold value, abandoning a new flotation case, or otherwise, replacing the case description having the maximum similarity value by the new flotation case. The iron ore flotation concentrate grade soft measurement method and system give flotation concentrate grade measured values under different working conditions by means of measurable production data related to iron ore flotation concentrate grade, and can improve security, reliability and economy of iron ore flotation production.
Description
Technical field
The invention belongs to soft-measuring technique field is and in particular to a kind of floatation of iron ore concentrate grade of case-based reasioning is soft
Measuring method and system.
Background technology
In Floating Production Process, concentrate grade is the crucial work characterizing floatation of iron ore process product quality and production efficiency
Skill index.The detection method of concentrate grade relies on manually offline chemical examination detection mostly at present, and this method can make data exist
Very serious hysteresis quality, can not make corresponding adjustable strategies it is more likely that ore pulp can be caused in time when operating mode changes
Middle useful component is not sufficiently sorted or floating agent is excessive, leads to flotation efficiency low, causes the wasting of resources.Few
Number iron ore beneficiating factories carry out on-line checking by ore grade analyzer to concentrate grade, but ore grade analyzer is expensive and maintenance expense
With height, increase beneficiation cost.
Content of the invention
In view of the shortcomings of the prior art, the present invention provides a kind of floatation of iron ore concentrate grade of case-based reasioning soft
Measuring method and system.
A kind of floatation of iron ore concentrate grade flexible measurement method of case-based reasioning, comprises the steps：
Step 1：Extract historical production data from floatation of iron ore production process, including Floatation Concentrate Grade and flotation border
Condition；
Described flotation boundary condition, including：To ore deposit grade, feed ore concentration, flotation time, flotation temperature, floatation concentration, fill
Tolerance, floating agent dosage；
Step 2：Remove the abnormity point in historical production data, and with the previous point value of abnormity point and latter point numerical value
Mean value is instead worth；
Step 3：According to the historical production data removing abnormity point, build flotation case library, flotation boundary condition is case
Example description, Floatation Concentrate Grade illustrates for case, and case description is deconstructed into flotation case with case；
Step 4：Using the flotation boundary condition obtaining in real time in floatation of iron ore production process as new case description, floating
Select and in case library, carry out Case Retrieval, obtain one group of phase between new case description and each case description described in case library
Like angle value；
Step 5：Similarity value is arranged from big to small, the case in the corresponding flotation case library of n Similarity value before selection
Example description is as the reference case of current working；
Step 6：According to the reference case being retrieved from case library, ask for what every kind of case of n reference case illustrated
Weighted average, wherein weight coefficient are the similarity of each case and new case, thus complete case and reuse, obtain new case
Illustrate, that is, be directed to the Floatation Concentrate Grade hard measurement result of current working, new case description and new case are deconstructed into new
Flotation case；
Step 7：The case of new flotation case is described in flotation case library and carries out Case Retrieval, find floating with new
The case selecting case describes the case description having in the flotation case library of maximum similarity value, if this maximum similarity value is more than
Similarity threshold, then give up new flotation case, otherwise, replaces, with new flotation case, the flotation that this has maximum similarity value
Case description in case library, completes the renewal of flotation case library.
The floatation of iron ore concentrate grade that the floatation of iron ore concentrate grade flexible measurement method of described case-based reasioning adopts
Hard measurement system, including：
Gather the data acquisition module of real-time flotation creation data；
By the data forwarding of data collecting module collected to Ethernet industrial computer wireless Zigbee transmission module；
Receive the Ethernet industrial computer that the Data Concurrent that wireless Zigbee transmission module transmits delivers to concentrate grade computer；
The data receiving the transmission of Ethernet industrial computer carries out concentrate grade hard measurement and the concentrate grade computer of display；
The output end of data acquisition module connects the input of wireless Zigbee transmission module, wireless Zigbee transmission module
Output end connect the input of Ethernet industrial computer, the output end of Ethernet industrial computer connects the input of concentrate grade computer
End.
Beneficial effect：
The floatation of iron ore concentrate grade flexible measurement method of the case-based reasioning of the present invention, by means of floatation of iron ore concentrate product
The related creation data surveyed in position, provides the Floatation Concentrate Grade hard measurement value under different operating modes, can improve floatation of iron ore life
Security, reliability and the economy produced.Manually chemically examine detection method compared to present offline, the present invention improves flotation life
Produce efficiency, reduce the probability of error；Compared to ore grade analyzer, The present invention reduces the maintenance cost of equipment, reduce life
Produce cost；Field data automatically saves it is not necessary to manual record, reduces loss of data, misregistration probability.
Brief description
Fig. 1 is the floatation of iron ore concentrate grade flexible measurement method flow process of specific embodiment of the invention case-based reasioning
Figure；
Fig. 2 is specific embodiment of the invention step 7 flow chart；
Fig. 3 is specific embodiment of the invention floatation of iron ore concentrate grade hard measurement system block diagram.
Specific embodiment
Below in conjunction with the accompanying drawings to the present invention be embodied as elaborate.
A kind of floatation of iron ore concentrate grade flexible measurement method of case-based reasioning, as shown in figure 1, comprise the steps：
Step 1：Extract historical production data from floatation of iron ore production process, including Floatation Concentrate Grade and flotation border
Condition；
Described flotation boundary condition, including：To ore deposit grade, feed ore concentration, flotation time, flotation temperature, floatation concentration, fill
Tolerance, floating agent dosage, present embodiment flotation boundary condition such as table 1：
Table 1 flotation boundary condition
In conjunction with historical data, production scene investigation and floatation process theory analysis, above-mentioned flotation boundary condition is to flotation essence
Ore deposit grade has direct impact, and proportion is very big.Go out flotation to ore deposit grade, feed ore concentration direct reaction to ore deposit
Matter；Flotation time, flotation temperature directly affect flotation effect；Floatation concentration, aeration quantity, floating agent dosage can directly affect floating
Concentrate selection grade, becomes positive correlation.
Step 2：Remove the abnormity point in historical production data, and with the previous point value of abnormity point and latter point numerical value
Mean value is instead worth；
By analysis of history data it can be seen that for some reason (as artificial record etc.), meeting in the data collecting
Abnormity point, the especially severe of the data mutation of certain point occur, removes the abnormity point in Floatation Concentrate Grade data, with abnormity point
Previous point value and the mean value of latter point numerical value be instead worth；
Step 3：According to the historical production data removing abnormity point, build flotation case library, flotation boundary condition is case
Example description, Floatation Concentrate Grade illustrates for case, and case description is deconstructed into flotation case with case；
In order to obtain the hard measurement value of Floatation Concentrate Grade, need to consider current working condition.The structure of case is by case
Example description and case illustrate two parts composition, and case description is by ore deposit grade z1, feed ore concentration %z2, flotation time z3, flotation temperature
Degree z4, floatation concentration %z5, aeration quantity z6, floating agent dosage z7Composition；Case illustrates as Floatation Concentrate Grade hard measurement value x1.This
In embodiment, flotation case is shown in Table 2：
Table 2 flotation case
The case of case-based reasioning technology can be expressed as follows：
Ck={ Fk, Jk}.
In formula, Ck(k=1 ..., m) represents kth bar case, and m is growing number；Fk={ zk.1, zk.2, zk.3, zk.4, zk.5,
zk.6, zk.7Describe for k-th case, case description is abbreviated as Fk={ fk.1..., fk.8}；Jk={ xk.1It is k-th case
Case illustrate, case is illustrated and is abbreviated as Jk.
Step 4：Using the flotation boundary condition obtaining in real time in floatation of iron ore production process as new case description, floating
Select and in case library, carry out Case Retrieval, obtain new case and describe one group between each case description described in F and case library
Similarity value, similarity is the number between 0 to 1, such as 0.88；
Wherein, ωiFor case, weights are described, m is the case number of cases in case library, SIM (fi, fk.i) for current working case
Description fiWith the corresponding case of kth bar case in case library, f is describedk.iSimilarity, be defined as：
Step 5：Similarity value is arranged from big to small, the case in the corresponding flotation case library of n Similarity value before selection
Example description is 3 as the reference case of current working, the in the present embodiment value of n；
Step 6：According to the reference case being retrieved from case library, ask for what every kind of case of n reference case illustrated
Weighted average, wherein weight coefficient are the similarity of each reference case and new case, thus complete case and reuse, and obtain new
Case illustrateIt is directed to the Floatation Concentrate Grade hard measurement result of current working, wherein, J is
New case illustrates (as 68.82), JkCase for reference case illustrates, and n is the quantity of reference case, and new case describes and new
Case is deconstructed into new flotation case；
The selection of n value can produce significant impact to result.The less history case meaning only to be closer to new case of n value
Example just can illustrate to new case and work, but is susceptible to over-fitting；If n value is larger, the history relatively kept off with new case
Case also can work to prediction, so that prediction is made a mistake.In actual applications, n value is typically chosen a less numerical value, leads to
Method frequently with cross validation to select the n value of optimum.
Step 7：The case of new flotation case is described in flotation case library and carries out Case Retrieval, find floating with new
The case selecting case describes the case description having in the flotation case library of maximum similarity value, if this maximum similarity value is more than
Similarity threshold, then give up new flotation case, otherwise, replaces, with new flotation case, the flotation that this has maximum similarity value
Case description in case library, completes the renewal of flotation case library.
As shown in Fig. 2 the comprising the following steps that of step 7：
Step 7.1：Set a similarity threshold；The concrete value of similarity threshold depends on history case in case library
Quantity, if the quantity of history case be c, similarity threshold be v, if c ＜ 200, v=0.9；If 200 ＜ c ＜ 500, v=
0.8；If c ＞ 500, v=0.7.
Step 7.2：The case of new flotation case is described in flotation case library and carries out Case Retrieval, find with new
The case description of flotation case has the case description in the flotation case library of maximum similarity value；
Step 7.3：If this maximum similarity value is more than similarity threshold, give up new flotation case, otherwise, with new
Flotation case replaces the case description that this has in the flotation case library of maximum similarity value, completes the renewal of flotation case library.
The floatation of iron ore concentrate grade that the floatation of iron ore concentrate grade flexible measurement method of described case-based reasioning adopts
Hard measurement system, as shown in figure 3, include：
Gather the data acquisition module of real-time flotation creation data；
By the data forwarding of data collecting module collected to Ethernet industrial computer wireless Zigbee transmission module；
Receive the Ethernet industrial computer that the Data Concurrent that wireless Zigbee transmission module transmits delivers to concentrate grade computer；
The data receiving the transmission of Ethernet industrial computer carries out concentrate grade hard measurement and the concentrate grade computer of display, leads to
Cross human-computer interaction interface display concentrate grade hard measurement result；
The output end of data acquisition module connects the input of wireless Zigbee transmission module, wireless Zigbee transmission module
Output end connect the input of Ethernet industrial computer, the output end of Ethernet industrial computer connects the input of concentrate grade computer
End.
Floatation of iron ore concentrate grade flexible measurement method and present of the case-based reasioning of the present invention are manually chemically examined offline
Detection method compares and has the following advantages that：Improve flotation production efficiency, reduce the probability of error.With ore grade analyzer
Compare and have the following advantages that：Decrease the maintenance cost of equipment, reduce production cost；Field data automatically saves, no
Need manual record, reduce loss of data, misregistration probability.
Claims (2)
1. a kind of case-based reasioning floatation of iron ore concentrate grade flexible measurement method it is characterised in that：Comprise the steps：
Step 1：Extract historical production data from floatation of iron ore production process, including Floatation Concentrate Grade and flotation perimeter strip
Part；
Described flotation boundary condition, including：To ore deposit grade, feed ore concentration, flotation time, flotation temperature, floatation concentration, inflation
Amount, floating agent dosage；
Step 2：Remove the abnormity point in historical production data, and average with the previous point value of abnormity point and latter point numerical value
Value is instead worth；
Step 3：According to the historical production data removing abnormity point, build flotation case library, flotation boundary condition is retouched for case
State, Floatation Concentrate Grade illustrates for case, case description is deconstructed into flotation case with case；
Step 4：Using the flotation boundary condition obtaining in real time in floatation of iron ore production process as new case description, in flotation case
Example carries out Case Retrieval in storehouse, obtains one group of similarity between each case description described in new case description and case library
Value；
Step 5：Similarity value is arranged from big to small, the case in the corresponding flotation case library of n Similarity value before selection is retouched
State the reference case as current working；
Step 6：According to the reference case being retrieved from case library, ask for the weighting that every kind of case of n reference case illustrates
Mean value, wherein weight coefficient are the similarity of each case and new case, thus complete case and reuse, obtain new case
Solution, that is, be directed to the Floatation Concentrate Grade hard measurement result of current working, and new case description and new case are deconstructed into new floating
Select case；
Step 7：The case of new flotation case is described in flotation case library and carries out Case Retrieval, find and new flotation case
The case description of example has the case description in the flotation case library of maximum similarity value, if this maximum similarity value is more than similar
Degree threshold value, then give up new flotation case, otherwise, replaces, with new flotation case, the flotation case that this has maximum similarity value
Case description in storehouse, completes the renewal of flotation case library.
2. the floatation of iron ore that the floatation of iron ore concentrate grade flexible measurement method of case-based reasioning as claimed in claim 1 adopts
Concentrate grade hard measurement system is it is characterised in that include：
Gather the data acquisition module of real-time flotation creation data；
By the data forwarding of data collecting module collected to Ethernet industrial computer wireless Zigbee transmission module；
Receive the Ethernet industrial computer that the Data Concurrent that wireless Zigbee transmission module transmits delivers to concentrate grade computer；
The data receiving the transmission of Ethernet industrial computer carries out concentrate grade hard measurement and the concentrate grade computer of display；
The output end of data acquisition module connects the input of wireless Zigbee transmission module, wireless Zigbee transmission module defeated
Go out the input that end connects Ethernet industrial computer, the output end of Ethernet industrial computer connects the input of concentrate grade computer.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108469797A (en) * | 2018-04-28 | 2018-08-31 | 东北大学 | A kind of grinding process modeling method based on neural network and evolutionary computation |
| CN111198550A (en) * | 2020-02-22 | 2020-05-26 | 江南大学 | Cloud intelligent production optimization scheduling on-line decision method and system based on case reasoning |
| CN112905632A (en) * | 2021-01-19 | 2021-06-04 | 浙江中控技术股份有限公司 | Atmospheric and vacuum equipment configuration method and device based on parameter cases |
| CN115128950A (en) * | 2022-06-16 | 2022-09-30 | 矿冶科技集团有限公司 | Crushing and screening control method and device, electronic equipment and storage medium |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108469797A (en) * | 2018-04-28 | 2018-08-31 | 东北大学 | A kind of grinding process modeling method based on neural network and evolutionary computation |
| CN108469797B (en) * | 2018-04-28 | 2020-09-29 | 东北大学 | Neural network and evolutionary computation based ore grinding process modeling method |
| CN111198550A (en) * | 2020-02-22 | 2020-05-26 | 江南大学 | Cloud intelligent production optimization scheduling on-line decision method and system based on case reasoning |
| CN112905632A (en) * | 2021-01-19 | 2021-06-04 | 浙江中控技术股份有限公司 | Atmospheric and vacuum equipment configuration method and device based on parameter cases |
| CN115128950A (en) * | 2022-06-16 | 2022-09-30 | 矿冶科技集团有限公司 | Crushing and screening control method and device, electronic equipment and storage medium |
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