CN109061101A - Thickener underflow concentration, mud layer height, internal mine amount hard measurement device and method - Google Patents
Thickener underflow concentration, mud layer height, internal mine amount hard measurement device and method Download PDFInfo
- Publication number
- CN109061101A CN109061101A CN201810693030.3A CN201810693030A CN109061101A CN 109061101 A CN109061101 A CN 109061101A CN 201810693030 A CN201810693030 A CN 201810693030A CN 109061101 A CN109061101 A CN 109061101A
- Authority
- CN
- China
- Prior art keywords
- concentrator
- pressure sensor
- pressure
- concentration
- mud layer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Food Science & Technology (AREA)
- Analytical Chemistry (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Paper (AREA)
- Manufacture And Refinement Of Metals (AREA)
Abstract
The present invention proposes a kind of thickener underflow concentration, mud layer height, internal mine amount hard measurement device and method, belongs to smelting field of selecting, including N number of pressure sensor, cable, wirerope and counterweight.N number of pressure sensor is used to measure the pressure of the ore pulp to be tested of different height in concentrator, lateral Hoisting Position of the wirerope on concentrator walking frame is determined according to the lateral position that n-th pressure sensor is located at, according to acquisition thickener underflow concentration value and N number of pressure sensor pressure data, fitting modeling, for measuring the underflow density of concentrator, the mud layer height, internal mine amount of ore pulp to be tested.The at low cost, install convenient of the present invention, there is no penetrating source problem, and maintenance period is long, easy to maintain.By applying at the scene, and with offline concentration Testing value, mud layer height measurements, enter mine amount and compare, illustrate that the measurement accuracy of the invention can satisfy production scene demand.
Description
Technical field
The invention belongs to select smelting field, in particular to the thickener underflow concentration, mud layer height of concentrator, internal mine amount is soft
Measuring device and method.
Background technique
With the fast development of country, industrialization, the continuous propulsion of Development of China's Urbanization continually develop benefit to mineral resources
With high grade ore is gradually reducing.Industry has to face more and more recycles mineral money from poor, thin, matrix
The problem of source, mineral resources supply face unprecedented pressure.Hydrometallurgical processes just have and can handle low-grade complex ore, life
Produce efficiently, low emission the advantages that, it is in an increasingly wide range of applications in smelting field of nonferrous metal.Concentrator is typical solid-liquid
Separation equipment is widely applied in hydrometallurgical processes, is the important procedure in mineral processing production process, plays washing, dense mine
Slurry improves pulp density and has the function of that certain adjusting upstream process production disturbance influences downstream process.Concentrator warp
The development for spending many years, adding since most without flocculant to there is a flocculant addition, then arrive high-efficiency thickener, deep wimble thickener,
Dense effect is constantly promoted, but still lacks the detection to concentrator key variables, and it is even more impossible to accurately understand inside concentrator
Operating status, in terms of mainly including following two: firstly, the detection difficult of thickener underflow concentration, at present examines pulp density
Survey mostly uses ray densimeter, and since environmental issue is increasingly valued by country, the application for penetrating source is more and more difficult；Secondly, by
In dense process mechanism is complex, internal state is invisible the problems such as, cause to lack to concentrator internal operation state
Solution is difficult to detect concentrator mud layer height, internal mine amount.Concentrator is the key equipment on ore dressing metallurgy, but all there is passes
The undetectable problem of key variable, makes concentrator be unable to reach optimal operational condition.At present to the detection of thickener underflow concentration
Ray densimeter is mostly used, but there is penetrate the disadvantages of source examination & approval are difficult, difficult in maintenance for ray densimeter.
Since the shortage of detection means, key variables can not detect, the underflow density of concentrator can not be further increased, is led
The process function that not only cannot effectively play the process is caused, can also generate interference to the production of upstream and downstream.Concentrator of the invention
Underflow density, mud layer height, inside may be implemented in underflow density, mud layer height, internal mine amount flexible measurement method and device technique
The hard measurement of mine amount, and it is at low cost, easy for installation, maintenance is small, both solved the key variables test problems of concentrator, also for
The subsequent optimal control for realizing concentrator lays the foundation.
Summary of the invention
The purpose of the present invention is there are problems that underflow density, mud layer height, internal mine amount are difficult to detect concentrator,
By installing concentrator hard measurement device inside concentrator, realize that thickener underflow concentration, mud layer are high using flexible measurement method
The measurement of degree, internal mine amount, worker can use the system and guarantee concentrator operational safety, while dense process being instructed to produce.
Underflow density detection not only may be implemented compared with conventional radioactive densimeter in the device, moreover it is possible to concentrator internal information is measured,
Device does not need to penetrate source, and install convenient is easy to maintain.
The thickener underflow concentration, mud layer height, internal mine amount hard measurement device, including N number of pressure sensor, electricity
Cable, wirerope and counterweight；
N number of pressure sensor is connected with cable, and cable is fixed on wirerope, and wirerope one end is fixed on concentrator traveling
On frame, the other end is connected with counterweight；
N number of pressure sensor is used to measure the pressure of the ore pulp to be tested of different height in concentrator, pressure sensor number N
>=3, for first pressure sensor on ore pulp mud moisture interface to be tested, n-th pressure sensor is located at mine mouth, intermediate N-
2 pressure sensors are evenly distributed between first pressure sensor and n-th pressure sensor；
Cable is fixed on wirerope for transmitting pressure sensor signal, rotates pressure sensor in concentrator
It keeps vertical in the process, and pressure sensor is made to be distributed in same upright position in concentrator by different height；
Wirerope with reconnection, it is constant for being maintained at upright position in concentrator rotation process, according to n-th pressure pass
The lateral position that sensor is located at determines lateral Hoisting Position of the wirerope on concentrator walking frame；
It is P' that N number of pressure sensor, which measures ore pulp pressure modeling data to be tested,1,P'2…,P'N, real-time pressure to be tested
Power is PS1,PS2…,PSN, cable length is consistent with the height of N number of pressure sensor, is h1,h2…,hN, concentrator total height is
H, thickener underflow concentration value C'UF, mud layer height h, concentrator inside mine amount M.
Wherein, the pressure difference between two adjacent pressure sensors should be greater than 10 times of sensor worst error.
Using thickener underflow concentration, mud layer height, the method for carrying out hard measurement of internal mine amount hard measurement device, including
Following steps:
Step 1: acquiring offline thickener underflow concentration value C'UF, and record the N number of pressure sensor pressure modeling of same time
Data P'1,P'2…,P'N, as one group of data, k group is acquired altogether；
Step 2: sampled data being pre-processed, outlier is removed, if i-th of pressure value P of jth group datai'(j)
Standard deviation is more than 3 σiAs outlier then removes all data of jth group, σiFor the totality of i-th of pressure sensor sampled data
Standard deviation, formula are formula (1)；
Wherein, k is the k group data acquired in step 1,It is averaged for the k group pressure data of i-th pressure sensor
Value, Pi' (j) be i-th of pressure sensor of jth group data acquisition pressure value；
M group data are shared after processing:
Wherein, PNIt (m) is the pressure value of m group n-th pressure sensor, c (m) is the bottom that m group off-line measurement obtains
Flow concentration value；
Step 3: 1., 2. and 3. thickener underflow concentration, mud layer height, internal mine amount Model Distinguish specifically include:
1. thickener underflow concentration Model Distinguish, specific steps are shown in (a), (b), (c), (d):
(a) the pressure differential Δ P that every 2 pressure sensors are found out by the data that step 2 obtains, as shown in following formula (4),
Wherein,Expression Δ P is m row, the matrix of N-1 column；ΔPNN-1(m) m group n-th sensor is indicated
With the pressure difference of the N-1 sensor；
(b) averag density of ore pulp between every 2 pressure sensors is found out by pressure differential Δ PShown in following formula (5):
Wherein,It indicatesFor m row, the matrix of N-1 column, g=9.8N/kg, Δ h are Δ h21,Δh32,…,Δ
hNN-1Diagonal matrix Δ h=diag (the Δ h of composition21,Δh32,…,ΔhNN-1), wherein Δ hNN-1For pressure sensor N and pressure
The difference in height of force snesor N-1, Δ hNN-1=hN-hN-1；
(c) by the averag density of ore pulpObtain the mean concentration of ore pulp between every 2 pressure sensorsFollowing formula
(6):
Wherein,It indicatesFor m row, the matrix of N-1 column, ρ0It is constant for concentrate dry mine density；
(d) by mean concentrationWith thickener underflow concentration value pretreated in step 2It picks out dense
Close machine underflow density model, wherein the mean concentration of input ore pulp between every 2 pressure sensorsOutput is off-line measurement
Underflow density CUF, every 2 are picked out with least square fitting, the method for fitting of a polynomial with the minimum principle of Identification Errors
The functional relation of average pulp density and underflow density between pressure sensor, following formula (7):
2. mud layer height model recognizes, the specific steps are (a), (b) and (c):
(a) by the mechanism knowledge of concentrator it is found that the concentration distribution in concentrator is power function, such as formula (8):
Wherein, b1,b2,b3For function parameter, h is distance of the measurement point away from concentrator liquid level, and C (h) is that depth is at h
Concentration；
(b) function parameter b is recognized1,b2,b3:
Parameter identification data are as follows: concentration dataDepth dataWherein,It is average dense between n-th pressure sensor and the N-1 pressure sensor
Degree, is acquired, C by formula (6)UFFor thickener underflow concentration,For n-th pressure sensor and N-1
To the depth of liquid level, H is that the depth of dense motor spindle to liquid level is also concentrator total depth in pressure sensor middle position；By dense
Degree is according to CdWith depth data hd, and utilize the parameter b of non-linear fitting method fitting formula (8)1,b2,b3, wherein in formula (8)
Middle C (h) is by concentration data CdAs parameter identification data, h is by depth data hdAs parameter identification data；
(c) the mud layer height of concentrator is calculated:
Rewriting formula (8) obtains the mud layer height formula of concentrator, as shown in formula (9):
Pass through identified parameters b in 2. (b)1,b2,b3With formula (9), when the concentration for manually providing respective heights in concentrator
When value, position of the various concentration in concentrator is found out, that is, finds out the mud layer height of concentrator；
3. mine amount model inside concentrator:
Internal mine amount soft-sensing model calculation formula is as follows:
Wherein, S (h)=π r2(h), r (h) is the relationship of concentrator radius at depth h and depth h, according to the ruler of concentrator
It is very little to obtain；H is concentrator total height；ρ0It is constant for concentrate dry mine density；C (h) is the pulp density of depth h, 2. by step
It obtains the mud layer height h of concentrator, then the pulp density C (h) of corresponding depth is obtained by formula (8)；
Step 4: ore pulp thickener underflow concentration to be measured, mud layer height, internal mine amount calculate:
(a) thickener underflow concentration real value is calculated:
Ore pulp real-time pressure P to be measured is detected by pressure sensorS1,PS2…,PSN, counted according to formula (4), (5), (6), (7)
Calculate thickener underflow concentration real value；
(b) it recognizes mud layer height model parameter and calculates mud layer height:
According to real-time pressure data PS1,PS2…,PSNAnd formula (4), (5), (6) find out it is average dense between two pressure sensors
2. (b) degree, picks out mud layer height real-time model parameter according to step, manually provides the concentration value of respective heights in concentrator,
The mud layer height of concentrator is found out according to formula (9)；
(c) internal mine amount is calculated:
According to concentrator mud layer height value in step 4 (b) and formula (8), pulp density C (h) is calculated, wherein formula
(8) function parameter b in1,b2,b3, using the mud layer height real-time model parameter picked out in step 4 (b), by calculated mine
It starches concentration C (h), substitutes into formula (10) and obtain internal mine amount data.
Its advantages:
Thickener underflow concentration of the present invention, mud layer height, internal mine amount hard measurement device and method both solve concentrator
The detection of underflow density, and realize to concentrator mud layer height and internal mine amount detection.The present invention is at low cost, and equipment is mainly
Pressure sensor, wirerope, counterweight, cost is much less compared with other concentration detection devices；Install convenient, device overall structure
Simply, only mounting height need to be determined, pressure sensor is fixed on wirerope, then wirerope is fixed on walking frame, peace can be completed
Dress；There is no source problem is penetrated, which does not need to penetrate source, does not need to penetrate source examination & approval, do not needed in use process yet to source of penetrating into
Row management；Maintenance period is long, easy to maintain, and it is mainly pressure sensor, ore pulp in concentrator which, which needs the part safeguarded,
Flow it is slower, to pressure sensor wear it is smaller, on mounted detection device, maintenance period be 6 months, maintenance when
Time only needs to change sensor, easy to maintain because apparatus structure is simple.By applying at the scene, and it is high with sampled data, mud layer
Degree measured value enters mine amount and compares, and illustrates that the measurement accuracy of the invention can satisfy production scene demand.
Detailed description of the invention
Fig. 1 is concentrator pressure sensor schematic view of the mounting position；
Fig. 2 is that thickener underflow concentration soft-sensing and offline concentration Testing value compare；
Fig. 3 is mud layer height hard measurement value and mud layer height actual comparison；
Fig. 4 is that mine amount hard measurement value and sampled value compare inside concentrator；
Fig. 5 is thickener underflow concentration, mud layer height, internal mine amount flexible measurement method flow chart.
In figure, 1- concentrator walking frame, 2- pressure sensor 1,3- pressure sensor N-1,4- pressure sensor N, 5- steel
Cable, 6- cable, 7- counterweight.
Specific embodiment
Thickener underflow concentration, mud layer height, internal mine amount hard measurement device and method are retouched in detail for attached drawing
It states:
1, the thickener underflow concentration, mud layer height, internal mine amount hard measurement device, as shown in Figure 1, including N number of pressure
Force snesor (2) (3) (4), cable (6), wirerope (5) and counterweight (7)；
N number of pressure sensor (2) (3) (4) is connected with cable (6), and cable (6) is fixed on wirerope (5), wirerope
(5) one end is fixed on concentrator walking frame (1), and the other end is connected with counterweight (7)；
N number of pressure sensor (2) (3) (4) is used to measure the pressure of the ore pulp to be tested of different height in concentrator, and pressure passes
Sensor number N >=3, the first pressure sensor (2) is on ore pulp mud moisture interface to be tested, n-th pressure sensor (4)
Positioned at mine mouth out, intermediate N-2 pressure sensor (3) is evenly distributed in first pressure sensor (2) and n-th pressure sensing
Between device (4)；
Cable (6) is fixed on wirerope (5) for transmitting pressure sensor signal, makes pressure sensor dense
It keeps vertical in machine rotation process, and pressure sensor is made to be distributed in same upright position in concentrator by different height；
Wirerope (5) is connect with counterweight (7), constant for being maintained at upright position in concentrator rotation process, according to n-th
The lateral position that pressure sensor (4) is located at determines lateral Hoisting Position of the wirerope (5) on concentrator walking frame (1)；
It is P' that N number of pressure sensor (2) (3) (4), which measures ore pulp pressure modeling data to be tested,1,P'2…,P'N, to be tested
Real-time pressure be PS1,PS2…,PSN, cable (6) length is consistent with the height of N number of pressure sensor (2) (3) (4), is h1,
h2…,hN, concentrator total height is H, thickener underflow concentration value C'UF, mud layer height h, concentrator inside mine amount M.
Wherein, the pressure difference between two adjacent pressure sensors should be greater than 10 times of sensor worst error.
Pressure sensor measurements are sent to AB433F4 analog quantity wireless transport module, wireless transport module by cable
Pressure measuring value is transferred in host computer, host computer is Lenovo ThinkCentre computer, is operated using Windows 7
System, MATLAB 2010a are algorithm software, write the calculation of thickener underflow concentration, mud layer height, internal mine amount hard measurement
Method, real-time detection pressure value calculates underflow density, mud layer height, internal mine magnitude by algorithm, and is programmed using C#2008
Software programming display interface shows real-time calculated value by display screen.
2, the thickener underflow concentration, mud layer height, the method for internal mine amount hard measurement device, as shown in figure 5, including
Following steps:
Step 1 and step 2: acquisition thickener underflow concentration value, and N number of pressure sensor pressure data is recorded, to sampling
Data are pre-processed, and outlier is removed；
It acquires 200 groups of data altogether by manual sampling, chooses 20 groups of data instances therein here and illustrate modeling process,
Citing data are the data after removing outlier.Pressure sensor number N takes 3；
Wherein, pressure data P is as shown in table 1:
The pressure data P that 1:3 pressure sensor of table is got
| P1(kPa) | P2(kPa) | P3(kPa) |
| 31.4 | 38.9 | 48.1 |
| 31.4 | 38.7 | 47.8 |
| 31.4 | 38.8 | 48.1 |
| 31.3 | 38.7 | 47.7 |
| 31.1 | 38.3 | 45.8 |
| 31.0 | 38.2 | 45.7 |
| 31.1 | 38.3 | 45.8 |
| 31.0 | 38.1 | 45.4 |
| 31.1 | 38.5 | 46.3 |
| 31.1 | 38.6 | 46.2 |
| 31.8 | 37.9 | 44.4 |
| 31.8 | 37.6 | 44.3 |
| 31.8 | 37.8 | 44 |
| 32.2 | 39.1 | 47 |
| 32.1 | 38.7 | 46.2 |
| 32.1 | 38.7 | 46.2 |
| 32.1 | 38.8 | 45.8 |
| 32.1 | 38.7 | 46 |
| 31.7 | 37.3 | 43.7 |
| 31.7 | 37.2 | 43.7 |
Wherein, the correspondence underflow density C measured with offline concentration pot methodUFAs shown in table 2, at this point, underflow density is pressure
Sensor passes go out the underflow density value got while pressure value；
The underflow density value of the offline concentration pot method of table 2 measurement
Step 3: 1., 2. and 3. thickener underflow concentration, mud layer height, internal mine amount Model Distinguish specifically include:
1. thickener underflow concentration Model Distinguish, specific steps are shown in (a), (b), (c), (d): (a) being obtained by step 2
Data find out the pressure differential Δ P of every 2 pressure sensors, as shown in table 3:
The pressure differential Δ P of 3 every 2 pressure sensors of table
| P2-P1(kPa) | P3-P2(kPa) |
| 7.5 | 9.2 |
| 7.3 | 9.1 |
| 7.4 | 9.3 |
| 7.4 | 9 |
| 7.2 | 7.5 |
| 7.2 | 7.5 |
| 7.2 | 7.5 |
| 7.1 | 7.3 |
| 7.4 | 7.8 |
| 7.5 | 7.6 |
| 6.1 | 6.5 |
| 5.8 | 6.7 |
| 6.0 | 6.2 |
| 6.9 | 7.9 |
| 6.6 | 7.5 |
| 6.6 | 7.5 |
| 6.7 | 7 |
| 6.6 | 7.3 |
| 5.6 | 6.4 |
| 5.5 | 6.5 |
(b) averag density of ore pulp between every 2 pressure sensors is found out by pressure differential Δ PIt is solved by formula (5) flat
Equal densityWherein g=9.8N/kg, 1 height h of pressure sensor1For 3.3m, 2 height h of pressure sensor2For 3.8m, pressure is passed
3 height h of sensor3For 4.3m, therefore Δ h=diag (0.5m, 0.5m), the results are shown in Table 4:
4 averag density of tableCalculated result
(c) by the averag density of ore pulpObtain the mean concentration of ore pulp between every 2 pressure sensorsPass through formula (6)
Solve the mean concentration of ore pulp between every 2 pressure sensorsWherein ρ0=4.27kg/m3, calculated result is as shown in table 5:
The mean concentration of ore pulp between 5 every 2 pressure sensors of tableCalculated result
(d) by mean concentrationWith thickener underflow concentration value C pretreated in step 2UFPick out thickener underflow
Concentration model, here in order to which model accurately takes 200 groups of data to obtain using polynomial fitting method:
2. mud layer height model recognizes, the specific steps are (a), (b) and (c):
(a) by the mechanism knowledge of concentrator it is found that the concentration distribution in concentrator is power function, such as formula (8):
Wherein, b1,b2,b3For function parameter, h is distance of the measurement point away from concentrator liquid level, and C (h) is that depth is at h
Concentration；
(b) function parameter b is recognized1,b2,b3:
With first group of data instance, i.e.,It is 0.452,It is 0.610, the identification of mud layer height is carried out, by 2 the first row of table
Underflow density value obtain CUF=0.773, therefore, take Cd=[0.452,0.610,0.773]T；
1 height h of pressure sensor1For 3.3m, 2 height h of pressure sensor2For 3.8m, 3 height h of pressure sensor3For
4.3m, so hd=[3.55,4.05,5.3]T, pass through parameter in non-linear fitting method distinguishing type (8), b1=-37.92,
b2=-3.55, b3=0.88 obtains C (h)=- 37.92h-3.55+0.88；
(c) the mud layer height of concentrator is calculated,
When selecting concentration for 0.4 to be mud layer height, C (h)=0.4 substitutes into above formula, obtains h=3.42m；
3. mine amount model inside concentrator:
According to concentrator dimensional drawing, can find out
By C (h)=- 37.92h-3.55+ 0.88, ρ0=4.27kg/m3, H=5.3, S (h) and substitute into formula (10), obtain dense
Mine amount inside machine are as follows: M=104 tons.
Step 4: ore pulp thickener underflow concentration to be measured, mud layer height, internal mine amount calculate step:
(a) thickener underflow concentration real value is calculated:
Detecting ore pulp real-time pressure to be measured by pressure sensor is P1=32.1kPa, P2=38.7kPa, P3=
46.2kPa it is poor to calculate every 2 cell pressures are as follows: Δ P=[6.67.5] by formula (4)；
By formula (5), wherein g=9.8N/kg, Δ h=diag (0.5m, 0.5m) are calculated
By formula (6), calculate
Substituted into formulaAcquire underflow
Concentration CUF=0.530.
(b) it recognizes mud layer height model parameter and calculates mud layer height:
According to real-time pressure data PS1,PS2…,PSNAnd formula (4), (5), (6) find out it is average dense between two pressure sensors
2. (b) degree, picks out mud layer height real-time model parameter according to step, obtains Cd=[0.3340.4530.530]T；
1 height of pressure sensor is 3.3m, and 2 height of pressure sensor is 3.8m, and 3 height of pressure sensor is 4.3m, dense
Close motor spindle height is 5.3m, so hd=[3.55,4.05,5.3]T；
Pass through parameter b in non-linear fitting method distinguishing type (8)1=-508.52, b2=-6.13, b3=0.55 obtains C
(h)=- 508.52h-6.13+ 0.55, and then obtain mud layer height real-time model are as follows:
When manually providing C (h)=0.4, above formula is substituted into, h=3.77m is obtained
(c) internal mine amount is calculated:
According to concentrator mud layer height value in step 4 (b) and formula (8), pulp density C (h) is calculated, C (h)=-
508.52h-6.13+ 0.55, wherein function parameter b in formula (8)1,b2,b3, use the mud layer height picked out in step 4 (b)
Calculated pulp density C (h) is substituted into formula (10) and obtains internal mine amount data by real-time model parameter.According to concentrator ruler
Very little figure can be found out
Wherein, ρ0=4.27kg/m3, H=5.3, by C (h)=- 508.52h-6.13+ 0.55 substitutes into formula (10), obtains M=58
Ton
3, illustrate thickener underflow concentration, mud layer height, internal mine amount hard measurement device practical application effect by three aspects
Fruit:
(1) underflow density hard measurement effect:
After the device is applied at the scene, underflow ore pulp is sampled daily, detectable concentration value is dense with the underflow of hard measurement
Degree compares, Fig. 2 thickener underflow concentration soft-sensing and offline concentration Testing value contrast effect figure, as we can see from the figure:
Underflow density hard measurement value and offline concentration Testing value (concentration pot method) closely, are by the way that average relative error is calculated
2.83%.
(2) mud layer height hard measurement effect:
Mud layer height can be measured by being inserted into pipe in concentrator, be measured at the scene by this method dense
Machine mud layer height, and the mud layer height of corresponding moment hard measurement has been counted, as shown in Figure 3.
It can be seen that mud layer height hard measurement value is consistent with by the mud layer height change trend of pipe measurement, calculate
It obtains average relative error 5.1%, meets production scene demand.
(3) internal mine amount hard measurement effect:
Due to the true value for having no idea directly to measure mine amount inside concentrator, internal mine can only be examined by indirect method
Measure the accuracy of hard measurement.It counts daily concentrator and enters mine amount MIN, daily thickener underflow yield MUF, start when inside mine
Measure M0, at the end of internal mine amount Mend, 4 values meet following relationship:
MIN=MUF+(M0-Mend) (11)
Wherein, MINEntered mine amount, Q for concentrator one dayIN,CINRespectively concentrator enters mine flow and enters mine concentration, can distinguish
It is detected, and is measured accurately by electromagnetic flowmeter and ray densimeter.MOUTFor one day yield of concentrator, QUF,CUFRespectively
The thickener underflow concentration value of thickener underflow flow and the invention hard measurement, thickener underflow flow are examined by electromagnetic flowmeter
It surveys； M0, MendRespectively daystart when concentrator inside mine amount and mine amount inside concentrator at the end of one day, formula can be passed through
(11) it acquires.It is as shown in Figure 4 to count daily concentrate quantum of output situation in one period.
As can be known from Fig. 4, concentrator enter mine amount and concentrator ore removal, inside concentrator mine amount changing value and it is average opposite
Error is 5.7%, and variation tendency is consistent, by indirect mode illustrate the invention inside mine amount hard measurement value can reflect it is dense
Mine amount situation of change in close machine.
Claims (3)
1. thickener underflow concentration, mud layer height, internal mine amount hard measurement device, it is characterised in that including N number of pressure sensor,
Cable, wirerope and counterweight；
N number of pressure sensor is connected with cable, and cable is fixed on wirerope, and wirerope one end is fixed on concentrator walking frame
On, the other end is connected with counterweight；
N number of pressure sensor is used to measure the pressure of the ore pulp to be tested of different height in concentrator, pressure sensor number N >=3,
For first pressure sensor on ore pulp mud moisture interface to be tested, n-th pressure sensor is located at mine mouth, and intermediate N-2 is a
Pressure sensor is evenly distributed between first pressure sensor and n-th pressure sensor；
Cable is fixed on wirerope for transmitting pressure sensor signal, makes pressure sensor in concentrator rotation process
It is middle to keep vertical, and pressure sensor is made to be distributed in same upright position in concentrator by different height；
Wirerope with reconnection, it is constant for being maintained at upright position in concentrator rotation process, according to n-th pressure sensor
The lateral position being located at determines lateral Hoisting Position of the wirerope on concentrator walking frame；
It is P' that N number of pressure sensor, which measures ore pulp pressure modeling data to be tested,1,P'2…,P'N, real-time pressure to be tested is
PS1,PS2…,PSN, cable length is consistent with the height of N number of pressure sensor, is h1,h2…,hN, concentrator total height is H, dense
Close machine underflow density value C'UF, mud layer height h, concentrator inside mine amount M.
2. thickener underflow concentration, mud layer height, internal mine amount hard measurement device according to claim 1, it is characterised in that:
Pressure difference between two adjacent pressure sensors should be greater than 10 times of sensor worst error.
3. carrying out hard measurement using thickener underflow concentration, mud layer height described in claim 1, internal mine amount hard measurement device
Method, it is characterised in that include the following steps:
Step 1: acquisition off-line test thickener underflow concentration value C'UF, and the N number of pressure sensor pressure for recording the same time is built
Modulus is according to P'1,P'2…,P'N, as one group of data, k group is acquired altogether；
Step 2: sampled data is pre-processed, outlier is removed, if i-th of pressure value P of jth group data 'i(j) standard deviation
More than 3 σiAs outlier then removes all data of jth group, σiFor the population standard deviation of i-th of pressure sensor sampled data,
Formula is formula (1)；
Wherein, k is the k group data acquired in step 1,For the average value of the k group pressure data of i-th of pressure sensor, P 'i
It (j) is the pressure value of i-th of pressure sensor of jth group data acquisition；
M group data are shared after processing:
Wherein, PNIt (m) is the pressure value of m group n-th pressure sensor, c (m) is the underflow density that m group off-line measurement obtains
Value；
Step 3: 1., 2. and 3. thickener underflow concentration, mud layer height, internal mine amount Model Distinguish specifically include:
1. thickener underflow concentration Model Distinguish, specific steps are shown in (a), (b), (c), (d):
(a) the pressure differential Δ P that every 2 pressure sensors are found out by the data that step 2 obtains, as shown in following formula (4),
Wherein,Expression Δ P is m row, the matrix of N-1 column；ΔPNN-1(m) m group n-th sensor and the are indicated
The pressure difference of N-1 sensor；
(b) averag density of ore pulp between every 2 pressure sensors is found out by pressure differential Δ PShown in following formula (5):
Wherein,It indicatesFor m row, the matrix of N-1 column, g=9.8N/kg, Δ h are Δ h21,Δh32,…,ΔhNN-1
Diagonal matrix Δ h=diag (the Δ h of composition21,Δh32,…,ΔhNN-1), wherein Δ hNN-1It is passed for pressure sensor N and pressure
The difference in height of sensor N-1, Δ hNN-1=hN-hN-1；
(c) by the averag density of ore pulpObtain the mean concentration of ore pulp between every 2 pressure sensorsFollowing formula (6):
Wherein,It indicatesFor m row, the matrix of N-1 column, ρ0It is constant for concentrate dry mine density；
(d) by mean concentrationWith thickener underflow concentration value pretreated in step 2Pick out concentrator
Underflow density model, wherein the mean concentration of input ore pulp between every 2 pressure sensorsOutput is the underflow of off-line test
Concentration CUF, picked out every 2 pressure with the minimum principle of Identification Errors with least square fitting, the method for fitting of a polynomial and passed
The functional relation of average pulp density and underflow density between sensor, following formula (7):
2. mud layer height model recognizes, the specific steps are (a), (b) and (c):
(a) by the mechanism knowledge of concentrator it is found that the concentration distribution in concentrator is power function, such as formula (8):
Wherein, b1,b2,b3For function parameter, h is distance of the measurement point away from concentrator liquid level, and C (h) is that depth is concentration at h；
(b) function parameter b is recognized1,b2,b3:
Parameter identification data are as follows: concentration dataDepth dataWherein,It is average dense between n-th pressure sensor and the N-1 pressure sensor
Degree, is acquired, C by formula (6)UFFor thickener underflow concentration,For n-th pressure sensor and N-1
To the depth of liquid level, H is that the depth of dense motor spindle to liquid level is also concentrator total depth in pressure sensor middle position；By dense
Degree is according to CdWith depth data hd, and utilize the parameter b of non-linear fitting method fitting formula (8)1,b2,b3, wherein in formula (8)
Middle C (h) is by concentration data CdAs parameter identification data, h is by depth data hdAs parameter identification data；
(c) the mud layer height of concentrator is calculated:
Rewriting formula (8) obtains the mud layer height formula of concentrator, as shown in formula (9):
Pass through identified parameters b in 2. (b)1,b2,b3With formula (9), when manually providing the concentration value of respective heights in concentrator,
Position of the various concentration in concentrator is found out, that is, finds out the mud layer height of concentrator；
3. mine amount model inside concentrator:
Internal mine amount soft-sensing model calculation formula is as follows:
Wherein, S (h)=π r2(h), r (h) is the relationship of concentrator radius at depth h and depth h, is obtained according to the size of concentrator
It arrives；H is concentrator total height；ρ0It is constant for concentrate dry mine density；C (h) is the pulp density of depth h, is 2. obtained by step
The mud layer height h of concentrator, then the pulp density C (h) of corresponding depth is obtained by formula (8)；
Step 4: ore pulp thickener underflow concentration to be measured, mud layer height, internal mine amount calculate:
(a) thickener underflow concentration real value is calculated:
Ore pulp real-time pressure P to be measured is detected by pressure sensorS1,PS2…,PSN, calculated according to formula (4), (5), (6), (7)
Thickener underflow concentration real value；
(b) it recognizes mud layer height model parameter and calculates mud layer height:
According to real-time pressure data PS1,PS2…,PSNAnd formula (4), (5), (6) find out the mean concentration between two pressure sensors, press
Mud layer height real-time model parameter 2. (b) is picked out according to step, the concentration value of respective heights in concentrator is manually provided, according to public affairs
Formula (9) finds out the mud layer height of concentrator；
(c) internal mine amount is calculated:
According to concentrator mud layer height value in step 4 (b) and formula (8), pulp density C (h) is calculated, wherein in formula (8)
Function parameter b1,b2,b3, using the mud layer height real-time model parameter picked out in step 4 (b), by calculated pulp density
C (h) substitutes into formula (10) and obtains internal mine amount data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810693030.3A CN109061101B (en) | 2018-06-29 | 2018-06-29 | Soft measuring device and method for underflow concentration, mud layer height and internal ore amount of thickener |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810693030.3A CN109061101B (en) | 2018-06-29 | 2018-06-29 | Soft measuring device and method for underflow concentration, mud layer height and internal ore amount of thickener |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109061101A true CN109061101A (en) | 2018-12-21 |
| CN109061101B CN109061101B (en) | 2021-02-19 |
Family
ID=64817950
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810693030.3A Active CN109061101B (en) | 2018-06-29 | 2018-06-29 | Soft measuring device and method for underflow concentration, mud layer height and internal ore amount of thickener |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109061101B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119671A (en) * | 2019-03-26 | 2019-08-13 | 中国海洋大学 | Underwater cognitive method based on artificial side line visual image |
| CN110276128A (en) * | 2019-06-21 | 2019-09-24 | 东北大学 | A kind of thickener underflow concentration prediction method based on DAJYPLS algorithm |
| CN112945344A (en) * | 2021-03-03 | 2021-06-11 | 北矿机电科技有限责任公司 | Paste thickener material layer position online detection method and device |
| CN112985506A (en) * | 2021-03-05 | 2021-06-18 | 北京科技大学 | Method for mutual calculation of mud layer height and mud layer pressure of deep cone thickener |
| CN113281099A (en) * | 2021-06-02 | 2021-08-20 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Rotation type sampling device suitable for concentrated pond |
| CN113295838A (en) * | 2021-06-02 | 2021-08-24 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Rotary-cut drainage type concentration detection assembly of concentration tank based on interference rectification and detection device with rotary-cut drainage type concentration detection assembly |
| CN113599863A (en) * | 2021-08-13 | 2021-11-05 | 山东科技大学 | Early warning type anti-blocking method for column type rake-free paste thickener |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060122071A1 (en) * | 2004-12-08 | 2006-06-08 | Hallbiurton Energy Services, Inc. | Oilwell sealant compositions comprising alkali swellable latex |
| CN101251396A (en) * | 2008-04-02 | 2008-08-27 | 罗放明 | Energy-saving grinder swirler closed-loop system and control method |
| CN102527098A (en) * | 2010-12-29 | 2012-07-04 | 中国瑞林工程技术有限公司 | Self-growth inoculating crystal circulating and precipitating system and processing method |
| WO2012110284A2 (en) * | 2011-01-26 | 2012-08-23 | Abb Research Ltd | Froth flotation control |
| US20120211421A1 (en) * | 2010-05-14 | 2012-08-23 | Kyle Self | Systems and methods for processing co2 |
| KR20130036686A (en) * | 2011-10-04 | 2013-04-12 | 금오공과대학교 산학협력단 | Gas injection type automated sample concentration |
| CN107144304A (en) * | 2017-06-05 | 2017-09-08 | 东北大学 | Real-time pressure and granule density measurement apparatus and method in iron ore suspension roaster |
| CN107796476A (en) * | 2017-11-13 | 2018-03-13 | 山东科技大学 | It is a kind of to be used for the device and method of material position and measurement of concetration in concentrator |
-
2018
- 2018-06-29 CN CN201810693030.3A patent/CN109061101B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060122071A1 (en) * | 2004-12-08 | 2006-06-08 | Hallbiurton Energy Services, Inc. | Oilwell sealant compositions comprising alkali swellable latex |
| CN101251396A (en) * | 2008-04-02 | 2008-08-27 | 罗放明 | Energy-saving grinder swirler closed-loop system and control method |
| US20120211421A1 (en) * | 2010-05-14 | 2012-08-23 | Kyle Self | Systems and methods for processing co2 |
| CN102527098A (en) * | 2010-12-29 | 2012-07-04 | 中国瑞林工程技术有限公司 | Self-growth inoculating crystal circulating and precipitating system and processing method |
| WO2012110284A2 (en) * | 2011-01-26 | 2012-08-23 | Abb Research Ltd | Froth flotation control |
| KR20130036686A (en) * | 2011-10-04 | 2013-04-12 | 금오공과대학교 산학협력단 | Gas injection type automated sample concentration |
| CN107144304A (en) * | 2017-06-05 | 2017-09-08 | 东北大学 | Real-time pressure and granule density measurement apparatus and method in iron ore suspension roaster |
| CN107796476A (en) * | 2017-11-13 | 2018-03-13 | 山东科技大学 | It is a kind of to be used for the device and method of material position and measurement of concetration in concentrator |
Non-Patent Citations (1)
| Title |
|---|
| 王旭等: "浓缩生产过程优化控制系统的研究与应用", 《有色金属（选矿部分）》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119671A (en) * | 2019-03-26 | 2019-08-13 | 中国海洋大学 | Underwater cognitive method based on artificial side line visual image |
| CN110276128A (en) * | 2019-06-21 | 2019-09-24 | 东北大学 | A kind of thickener underflow concentration prediction method based on DAJYPLS algorithm |
| CN110276128B (en) * | 2019-06-21 | 2023-04-07 | 东北大学 | Underflow concentration prediction method of thickener based on DAJYPLS algorithm |
| CN112945344A (en) * | 2021-03-03 | 2021-06-11 | 北矿机电科技有限责任公司 | Paste thickener material layer position online detection method and device |
| CN112985506A (en) * | 2021-03-05 | 2021-06-18 | 北京科技大学 | Method for mutual calculation of mud layer height and mud layer pressure of deep cone thickener |
| CN112985506B (en) * | 2021-03-05 | 2023-03-17 | 北京科技大学 | Method for mutual calculation of mud layer height and mud layer pressure of deep cone thickener |
| CN113281099A (en) * | 2021-06-02 | 2021-08-20 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Rotation type sampling device suitable for concentrated pond |
| CN113295838A (en) * | 2021-06-02 | 2021-08-24 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Rotary-cut drainage type concentration detection assembly of concentration tank based on interference rectification and detection device with rotary-cut drainage type concentration detection assembly |
| CN113295838B (en) * | 2021-06-02 | 2023-03-21 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Rotary-cut drainage type concentration detection assembly of concentration tank based on interference rectification and detection device with rotary-cut drainage type concentration detection assembly |
| CN113599863A (en) * | 2021-08-13 | 2021-11-05 | 山东科技大学 | Early warning type anti-blocking method for column type rake-free paste thickener |
| CN113599863B (en) * | 2021-08-13 | 2022-07-12 | 山东科技大学 | Early warning type anti-blocking method for column type rake-free paste thickener |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109061101B (en) | 2021-02-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109061101A (en) | Thickener underflow concentration, mud layer height, internal mine amount hard measurement device and method | |
| CN109612943B (en) | Tunnel rock quartz content testing system and method based on machine learning | |
| CN204620472U (en) | A kind of precision bearing checkout gear | |
| CN101008603A (en) | Online testing method and device of concentration and size of pulp | |
| CN104515572B (en) | Belt conveyer scale based on laser ranging | |
| CN105046805B (en) | A kind of paper money thickness testing apparatus and its calibration method | |
| CN106382882A (en) | Test system and test method of rotating machinery rotor-stator rim field | |
| CN111538097A (en) | Accurate electromagnetic measurement method for ultra-deep underground pipeline burying position | |
| CN108037747B (en) | Golden hydrometallurgy whole process hierarchical block operating status on-line evaluation method | |
| CN114841453A (en) | Clean coal ash content prediction method in flotation process | |
| CN106568546A (en) | Electromagnet suction measurement system | |
| CN201413309Y (en) | Non-destructive testing device for simultaneous detection of four steel ropes | |
| CN102039629A (en) | Automatic inserting core pressing system and automatic inserting core pressing method | |
| CN104977126B (en) | A kind of main shaft unbalance dynamic detection computational methods and system | |
| CN2879173Y (en) | On-line detecting device for concentration and granularity of mining slurry | |
| CN206959774U (en) | A kind of filter paper thickness on-line computing model | |
| CN116379900B (en) | Accurate perforation control method for mine drilling equipment based on charge offset collection | |
| CN202022220U (en) | Three-point-form track irregularity measuring device | |
| CN204535825U (en) | Based on the belt conveyer scale of laser ranging | |
| CN102980536A (en) | Brake pad steel backing planeness detecting system and method thereof | |
| CN202793669U (en) | Online tension detection system of contact wire barrow | |
| CN1737817A (en) | Bank note safety line magnetic code recognition method | |
| CN107036800A (en) | A kind of mine head sheave grooving radial characteristics detecting system | |
| CN206038561U (en) | Composition analyzer | |
| CN202974916U (en) | Device for detecting stratification conditions of raw coal mixtures |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |