CA2834292C - A method using anode rod equidistant voltage drop to predict anode effect - Google Patents
A method using anode rod equidistant voltage drop to predict anode effect Download PDFInfo
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- 230000000694 effects Effects 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000001186 cumulative effect Effects 0.000 claims description 20
- 238000001914 filtration Methods 0.000 claims description 13
- 238000007781 pre-processing Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000009499 grossing Methods 0.000 claims description 3
- 238000003672 processing method Methods 0.000 claims description 3
- 238000007796 conventional method Methods 0.000 description 4
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 3
- 229910052782 aluminium Inorganic materials 0.000 description 3
- TWNQGVIAIRXVLR-UHFFFAOYSA-N oxo(oxoalumanyloxy)alumane Chemical compound O=[Al]O[Al]=O TWNQGVIAIRXVLR-UHFFFAOYSA-N 0.000 description 3
- 238000005868 electrolysis reaction Methods 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25C—PROCESSES FOR THE ELECTROLYTIC PRODUCTION, RECOVERY OR REFINING OF METALS; APPARATUS THEREFOR
- C25C3/00—Electrolytic production, recovery or refining of metals by electrolysis of melts
- C25C3/06—Electrolytic production, recovery or refining of metals by electrolysis of melts of aluminium
- C25C3/20—Automatic control or regulation of cells
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Abstract
A method using anode rod equidistant voltage drop to predict anode effect comprises the following steps: an anode rod equidistant voltage drop sensor is mounted on each anode rod of a prebaked anode electrolytic cell, said anode rod equidistant voltage drop sensor transmitting the collected anode rod equidistant voltage drop signal to a front end data analyzer; the front end data analyzer analyzes and processes the anode rod equidistant voltage drop data, identifies anodes for which there is an impending anode effect, and transmits the prediction results to the electrolytic cell control machine. Malfunctioning anodes are effectively monitored by means of targeted prediction of the anode effect on each anode in the electrolytic cell, thereby allowing for precision operation of the electrolytic cell, which in turn promotes stable electrolytic cell operations, saves energy and improves current efficiency.
Description
A METHOD USING ANODE ROD EQUIDISTANT
VOLTAGE DROP TO PREDICT ANODE EFFECT
TECHNICAL FIELD
The present invention relates to a method using anode rod equidistant voltage drop to predict an anode effect and, in particular to using electrolytic cell anode rod equidistant voltage drop data to predict a particular anode of a prebaked anode aluminum electrolytic cell on which the anode effect is to occur.
BACKGROUND OF THE INVENTION
The conventional method for predicting an anode effect in an electrolytic cell comprises analyzing and processing the voltage signal of the overall electrolytic cell, and predicting the anode effect in the electrolytic cell according to the magnitude of the signal of the overall cell voltage. However, in the actual production, anode effect tends to first take place on a particular anode. In recent years, as the electrolytic cell increases in size, the drawbacks of the conventional method for predicting the anode effect have been increasingly discovered. The conventional method for predicting the anode effect by the overall cell voltage may only determine that the overall cell has an impending anode effect, but may not determine the specific area where the impending anode effect will take place. The method for suppressing an anode effect may only comprise large, simultaneous feeding at all the feeding openings, which feeding manner would alter the concentration of aluminum oxide in the electrolyte such that the aluminum oxide is not distributed uniformly in space, thereby increasing the consumption amount of aluminum oxide. The conventional method for predicting an anode effect without considering the differences between individual anodes can no longer satisfy the requirement of precision operation of new types of electrolytic cells, nor can it reduce energy consumption during the aluminum electrolysis process as called for by the world community. The new method for predicting an anode effect which may achieve a precise positioning is of great significance for further improving the technological and economic indicators of the aluminum electrolytic cell.
SUMMARY OF THE INVENTION
According to an aspect of the present invention, there is provided a method using anode rod equidistant voltage drop to predict an anode effect, comprising the following steps: mounting an anode rod equidistant voltage drop signal sensor on each anode rod of a prebaked anode electrolytic cell, said anode rod equidistant voltage drop signal sensor transmitting the collected anode rod equidistant voltage drop signal to a front end data analyzer; and analyzing and processing the anode rod equidistant voltage drop data using the front end data analyzer, so as to predict anodes which have an impending anode effect, and transmit the prediction results to the electrolytic cell control machine;
wherein said analysis and processing of the anode rod equidistant voltage drop data using the front end data analyzer comprises: preprocessing the anode rod equidistant voltage drop data;
low-pass filtering the processed anode rod equidistant voltage drop data; high-frequency needle shake processing, slope processing and cumulative slope processing the low-pass filtered data; and using the high-frequency needle shake, slope and cumulative slope processed data for anode effect determination; wherein said high-frequency needle shake processing of the low-pass filtered data comprises: dividing the time length (into five equal shares;
calculating the intensity of the needle shake of anode rod equidistant voltage drop in each period t according to the following formula Shake(k) = V
max ¨ Vann ¨ VF(k)¨VF(k ¨1)1; and smooth processing the needle shake intensity in each time period according to the following formula Shake (k)= 0.75 * Shake(k ¨1)+ 0.25 * Shake(k), wherein k =
{1,2,3,4,5}, the needle shake intensity in the present prediction period t being max(Shake (k)), wherein V,õax and are the largest and smallest values of the original anode rod equidistant voltage drop in each equal time share, and VF is the low-pass filtered anode rod equidistant voltage drop in each equal time share.
Some embodiments may provide a method using anode rod equidistant voltage drop to predict an anode effect, which is designed for precisely positioning the particular
VOLTAGE DROP TO PREDICT ANODE EFFECT
TECHNICAL FIELD
The present invention relates to a method using anode rod equidistant voltage drop to predict an anode effect and, in particular to using electrolytic cell anode rod equidistant voltage drop data to predict a particular anode of a prebaked anode aluminum electrolytic cell on which the anode effect is to occur.
BACKGROUND OF THE INVENTION
The conventional method for predicting an anode effect in an electrolytic cell comprises analyzing and processing the voltage signal of the overall electrolytic cell, and predicting the anode effect in the electrolytic cell according to the magnitude of the signal of the overall cell voltage. However, in the actual production, anode effect tends to first take place on a particular anode. In recent years, as the electrolytic cell increases in size, the drawbacks of the conventional method for predicting the anode effect have been increasingly discovered. The conventional method for predicting the anode effect by the overall cell voltage may only determine that the overall cell has an impending anode effect, but may not determine the specific area where the impending anode effect will take place. The method for suppressing an anode effect may only comprise large, simultaneous feeding at all the feeding openings, which feeding manner would alter the concentration of aluminum oxide in the electrolyte such that the aluminum oxide is not distributed uniformly in space, thereby increasing the consumption amount of aluminum oxide. The conventional method for predicting an anode effect without considering the differences between individual anodes can no longer satisfy the requirement of precision operation of new types of electrolytic cells, nor can it reduce energy consumption during the aluminum electrolysis process as called for by the world community. The new method for predicting an anode effect which may achieve a precise positioning is of great significance for further improving the technological and economic indicators of the aluminum electrolytic cell.
SUMMARY OF THE INVENTION
According to an aspect of the present invention, there is provided a method using anode rod equidistant voltage drop to predict an anode effect, comprising the following steps: mounting an anode rod equidistant voltage drop signal sensor on each anode rod of a prebaked anode electrolytic cell, said anode rod equidistant voltage drop signal sensor transmitting the collected anode rod equidistant voltage drop signal to a front end data analyzer; and analyzing and processing the anode rod equidistant voltage drop data using the front end data analyzer, so as to predict anodes which have an impending anode effect, and transmit the prediction results to the electrolytic cell control machine;
wherein said analysis and processing of the anode rod equidistant voltage drop data using the front end data analyzer comprises: preprocessing the anode rod equidistant voltage drop data;
low-pass filtering the processed anode rod equidistant voltage drop data; high-frequency needle shake processing, slope processing and cumulative slope processing the low-pass filtered data; and using the high-frequency needle shake, slope and cumulative slope processed data for anode effect determination; wherein said high-frequency needle shake processing of the low-pass filtered data comprises: dividing the time length (into five equal shares;
calculating the intensity of the needle shake of anode rod equidistant voltage drop in each period t according to the following formula Shake(k) = V
max ¨ Vann ¨ VF(k)¨VF(k ¨1)1; and smooth processing the needle shake intensity in each time period according to the following formula Shake (k)= 0.75 * Shake(k ¨1)+ 0.25 * Shake(k), wherein k =
{1,2,3,4,5}, the needle shake intensity in the present prediction period t being max(Shake (k)), wherein V,õax and are the largest and smallest values of the original anode rod equidistant voltage drop in each equal time share, and VF is the low-pass filtered anode rod equidistant voltage drop in each equal time share.
Some embodiments may provide a method using anode rod equidistant voltage drop to predict an anode effect, which is designed for precisely positioning the particular
2 anode which has an impending anode effect, and positioning the areas of the impending anode effect, such as to satisfy the requirement of precision operation of the electrolytic cell.
To said end, the present invention provides a method using anode rod equidistant voltage drop to predict an anode effect, which comprises the following steps:
mounting an anode rod equidistant voltage drop signal sensor on each anode rod of a prebaked anode electrolytic cell, wherein said anode rod equidistant voltage drop signal sensor will transmit the collected anode rod equidistant voltage drop signal to a front end data analyzer;
and analyzing and processing the anode rod equidistant voltage drop data using the front end data analyzer, so as to predict anodes which have an impending anode effect, and transmit the prediction results to the electrolytic cell control machine.
Analysis and processing of the anode rod equidistant voltage drop data by the front end data analyzer comprises: preprocessing the anode rod equidistant voltage drop data;
low-pass filtering the processed anode rod equidistant voltage drop data; high-frequency needle shake processing, slope processing and cumulative slope processing the low-pass filtered data; and using the high-frequency needle shake, slope and cumulative slope processed data for anode effect determination.
In some embodiments, said preprocessing of anode rod equidistant voltage drop data is to preprocess the original anode rod equidistant voltage drop data over a time length of t of each anode rod of the electrolytic cell. In some embodiments, the processing method uses the following smoothing formulas to remove abnormal needle shake in the signal.
2 = ¨70l69 - 6Y, + 4Y,+1 y,,2) 27Y1-1 +12y, - + 2y,,) =5 (-3Y,-2 +12Y,-1 +17Y, -1-12Y(+1 -3Y, 2) 1 ti - 8Y,-1 +12.Y, 27Y,,i 4,2) 1 , - 41),-1 - +4y, i +69y,2)
To said end, the present invention provides a method using anode rod equidistant voltage drop to predict an anode effect, which comprises the following steps:
mounting an anode rod equidistant voltage drop signal sensor on each anode rod of a prebaked anode electrolytic cell, wherein said anode rod equidistant voltage drop signal sensor will transmit the collected anode rod equidistant voltage drop signal to a front end data analyzer;
and analyzing and processing the anode rod equidistant voltage drop data using the front end data analyzer, so as to predict anodes which have an impending anode effect, and transmit the prediction results to the electrolytic cell control machine.
Analysis and processing of the anode rod equidistant voltage drop data by the front end data analyzer comprises: preprocessing the anode rod equidistant voltage drop data;
low-pass filtering the processed anode rod equidistant voltage drop data; high-frequency needle shake processing, slope processing and cumulative slope processing the low-pass filtered data; and using the high-frequency needle shake, slope and cumulative slope processed data for anode effect determination.
In some embodiments, said preprocessing of anode rod equidistant voltage drop data is to preprocess the original anode rod equidistant voltage drop data over a time length of t of each anode rod of the electrolytic cell. In some embodiments, the processing method uses the following smoothing formulas to remove abnormal needle shake in the signal.
2 = ¨70l69 - 6Y, + 4Y,+1 y,,2) 27Y1-1 +12y, - + 2y,,) =5 (-3Y,-2 +12Y,-1 +17Y, -1-12Y(+1 -3Y, 2) 1 ti - 8Y,-1 +12.Y, 27Y,,i 4,2) 1 , - 41),-1 - +4y, i +69y,2)
3 where, .)7, is the smooth value of y, ; y, is the collected original data value; and the initial two points and last two points of the data are calculated only by the first and second formulas and the fourth and fifth formulas in the above formula set respectively.
In some embodiments, said low-pass filtering of the processed anode rod equidistant voltage drop data uses Butterworth bilinear filtering, the default upper limit of the filtering frequency being 1/600Hz.
In one aspect, said high-frequency needle shake processing of the low-pass filtered data comprises: dividing the time length t into five equal shares;
calculating the intensity of the needle shake of anode rod equidistant voltage drop in each period t according to the following formula Shake(k) = ¨ ¨ I VF(k)¨VF(k ¨1)1; and smooth processing the needle shake intensity in each time period according to the following formula Shake (k)= 0.75 * Shake(k ¨ 1) + 0.25 * Shake(k) , wherein k =
{1,2,3,4,5 } . Hence, the needle shake intensity in the present prediction period t is max(Shake' (k)), wherein V,nax and are the largest and smallest values of the original anode rod equidistant voltage drop in each equal time share, and VF is the low-pass filtered anode rod equidistant voltage drop in each equal time share.
In some embodiments, said slope processing of the low-pass filtered data comprises the following steps: said slope of anode rod equidistant voltage drop is the average rate of change of the low-pass filtered anode rod equidistant voltage drop over the prediction period t; the time length t is also divided into five equal shares, and the slope of anode rod equidistant voltage drop of each anode in the period t is calculated according to the following formula:
Slope(t) = (VF(k ¨1) ¨ VF(k ¨3) + 2(VF(k)¨VF(k ¨ 4))) / 5 Said cumulative slope processing of the low-pass filtered data uses following formula:
In some embodiments, said low-pass filtering of the processed anode rod equidistant voltage drop data uses Butterworth bilinear filtering, the default upper limit of the filtering frequency being 1/600Hz.
In one aspect, said high-frequency needle shake processing of the low-pass filtered data comprises: dividing the time length t into five equal shares;
calculating the intensity of the needle shake of anode rod equidistant voltage drop in each period t according to the following formula Shake(k) = ¨ ¨ I VF(k)¨VF(k ¨1)1; and smooth processing the needle shake intensity in each time period according to the following formula Shake (k)= 0.75 * Shake(k ¨ 1) + 0.25 * Shake(k) , wherein k =
{1,2,3,4,5 } . Hence, the needle shake intensity in the present prediction period t is max(Shake' (k)), wherein V,nax and are the largest and smallest values of the original anode rod equidistant voltage drop in each equal time share, and VF is the low-pass filtered anode rod equidistant voltage drop in each equal time share.
In some embodiments, said slope processing of the low-pass filtered data comprises the following steps: said slope of anode rod equidistant voltage drop is the average rate of change of the low-pass filtered anode rod equidistant voltage drop over the prediction period t; the time length t is also divided into five equal shares, and the slope of anode rod equidistant voltage drop of each anode in the period t is calculated according to the following formula:
Slope(t) = (VF(k ¨1) ¨ VF(k ¨3) + 2(VF(k)¨VF(k ¨ 4))) / 5 Said cumulative slope processing of the low-pass filtered data uses following formula:
4 Lslope(t) = (7 /8)* Lslope(t ¨1) + 2* Slope(t) I 3 Lslope(0) = Slope(0) In some embodiments, said anode effect determination using the high-frequency needle shake, slope and cumulative slope processed data comprises setting threshold values for the slope, cumulative slope and high-frequency needle shake. If the cumulative slope of the anode rod equidistant voltage drop drops continuously for several periods, the slope of the anode rod equidistant voltage drop drops significantly in the present period or the high frequency needle shake of the anode rod equidistant voltage drop increases significantly, it is determined that there is an impending anode effect.
The advantages of some embodiments of the present invention lie in that malfunctioning anodes are effectively monitored by means of targeted prediction of the anode effect on each anode in the electrolytic cell, thereby allowing for precision operation of the electrolytic cell, which in turn promotes stable electrolytic cell operations, saves energy and improves current efficiency.
EMBODIMENTS
Embodiments of the present invention provide a method using anode rod equidistant voltage drop to predict an anode effect, which comprises the following steps:
mounting an anode rod equidistant voltage drop signal sensor on each anode rod of a prebaked anode electrolytic cell, said anode rod equidistant voltage drop signal sensor transmitting the collected anode rod equidistant voltage drop signal to a front end data analyzer; and analyzing and processing the anode rod equidistant voltage drop data using the front end data analyzer, so as to predict anodes which have an impending anode effect, and transmit the prediction results to the electrolytic cell control machine.
Analysis and processing of the anode rod equidistant voltage drop data using the front end data analyzer comprises: preprocessing the anode rod equidistant voltage drop data; low-pass filtering the processed anode rod equidistant voltage drop data; high-frequency needle shake processing, slope processing and cumulative slope processing the low-pass
The advantages of some embodiments of the present invention lie in that malfunctioning anodes are effectively monitored by means of targeted prediction of the anode effect on each anode in the electrolytic cell, thereby allowing for precision operation of the electrolytic cell, which in turn promotes stable electrolytic cell operations, saves energy and improves current efficiency.
EMBODIMENTS
Embodiments of the present invention provide a method using anode rod equidistant voltage drop to predict an anode effect, which comprises the following steps:
mounting an anode rod equidistant voltage drop signal sensor on each anode rod of a prebaked anode electrolytic cell, said anode rod equidistant voltage drop signal sensor transmitting the collected anode rod equidistant voltage drop signal to a front end data analyzer; and analyzing and processing the anode rod equidistant voltage drop data using the front end data analyzer, so as to predict anodes which have an impending anode effect, and transmit the prediction results to the electrolytic cell control machine.
Analysis and processing of the anode rod equidistant voltage drop data using the front end data analyzer comprises: preprocessing the anode rod equidistant voltage drop data; low-pass filtering the processed anode rod equidistant voltage drop data; high-frequency needle shake processing, slope processing and cumulative slope processing the low-pass
5 = 73140-39 filtered data; and using the high-frequency needle shake, slope and cumulative slope processed data for anode effect determination.
In one embodiment, said preprocessing of anode rod equidistant voltage drop data is to preprocess the original data of anode rod equidistant voltage drop over a time length oft of each anode rod of the electrolytic cell. The processing method uses the following smoothing formulas to remove abnormal needle shake in the signal.
:);1_2 = + 4Y,-1 - 6Y, -1- 4Y1+, Yi+2 =35(2y,--2 27.1),-1 +12y1 ¨8y,+, +2y1,) = -35 14,1 17.Y, 12Y,+1 ¨3.Y1+2) = ¨ +12y, + 27y + 2y,+2) =70(¨.Y,-2 4y,-1 4.Y,F1+ 69Y,2) where, )7, is the smooth value of y ,; y , is the collected original data value; and the initial two points and last two points of the data are calculated only by the first and second 10 formulas and the fourth and fifth formulas in the above formula set respectively.
In one embodiment, said low-pass filtering of the processed anode rod equidistant voltage drop data uses Butterworth bilinear filtering, the default upper limit of the filtering frequency being 1/600Hz.
In one embodiment, said high-frequency needle shake processing of the low-15 pass filtered data comprises: dividing the time length t into five equal shares; calculating the intensity of the needle shake of anode rod equidistant voltage drop in each period t according to the following formula Shake(k) V
= max ¨ Vmin VF(k)- VF(k -1)1; and smooth processing the needle shake intensity in each time period according to the following formula Shake' (k)= 0.75 * Shake(k -1) + 0.25 * Shake(k), wherein k =
{1,2,3,4,5} . Hence, the 20 needle shake intensity in the present prediction period t is max(Shake' (k)), wherein Viõax and
In one embodiment, said preprocessing of anode rod equidistant voltage drop data is to preprocess the original data of anode rod equidistant voltage drop over a time length oft of each anode rod of the electrolytic cell. The processing method uses the following smoothing formulas to remove abnormal needle shake in the signal.
:);1_2 = + 4Y,-1 - 6Y, -1- 4Y1+, Yi+2 =35(2y,--2 27.1),-1 +12y1 ¨8y,+, +2y1,) = -35 14,1 17.Y, 12Y,+1 ¨3.Y1+2) = ¨ +12y, + 27y + 2y,+2) =70(¨.Y,-2 4y,-1 4.Y,F1+ 69Y,2) where, )7, is the smooth value of y ,; y , is the collected original data value; and the initial two points and last two points of the data are calculated only by the first and second 10 formulas and the fourth and fifth formulas in the above formula set respectively.
In one embodiment, said low-pass filtering of the processed anode rod equidistant voltage drop data uses Butterworth bilinear filtering, the default upper limit of the filtering frequency being 1/600Hz.
In one embodiment, said high-frequency needle shake processing of the low-15 pass filtered data comprises: dividing the time length t into five equal shares; calculating the intensity of the needle shake of anode rod equidistant voltage drop in each period t according to the following formula Shake(k) V
= max ¨ Vmin VF(k)- VF(k -1)1; and smooth processing the needle shake intensity in each time period according to the following formula Shake' (k)= 0.75 * Shake(k -1) + 0.25 * Shake(k), wherein k =
{1,2,3,4,5} . Hence, the 20 needle shake intensity in the present prediction period t is max(Shake' (k)), wherein Viõax and
6 * 73140-39 are the largest and smallest values of the original anode rod equidistant voltage drop in each equal time share, and VF is the low-pass filtered anode rod equidistant voltage drop in each equal time share.
In one embodiment, said slope processing of the low-pass filtered data comprises the following steps: said slope of anode rod equidistant voltage drop is the average rate of change of the low-pass filtered anode rod equidistant voltage drop over the prediction period t; the time length t is also divided into five equal shares, and the slope of anode rod equidistant voltage drop of each anode in the period t is calculated according to the following formula:
Slope(t) = (VF(k ¨1)¨ VF(k ¨3) + 2(VF(k)¨VF(k ¨4))) /5 Said cumulative slope processing of the low-pass filtered data uses the following formula:
Lslope(t) = (7 / 8) * Lslope(t ¨1) + 2* Slope(t)/3 Lslope(0)= Slope(0) In one embodiment, said anode effect determination using the high-frequency needle shake, slope and cumulative slope processed data comprises setting threshold values for the slope, cumulative slope and high-frequency needle shake. If the cumulative slope of the anode rod equidistant voltage drop drops continuously for several periods, the slope of the anode rod equidistant voltage drop drops significantly in the present period or the high frequency needle shake of the anode rod equidistant voltage drop increases significantly, it is determined that there is an impending anode effect.
In one embodiment, said slope processing of the low-pass filtered data comprises the following steps: said slope of anode rod equidistant voltage drop is the average rate of change of the low-pass filtered anode rod equidistant voltage drop over the prediction period t; the time length t is also divided into five equal shares, and the slope of anode rod equidistant voltage drop of each anode in the period t is calculated according to the following formula:
Slope(t) = (VF(k ¨1)¨ VF(k ¨3) + 2(VF(k)¨VF(k ¨4))) /5 Said cumulative slope processing of the low-pass filtered data uses the following formula:
Lslope(t) = (7 / 8) * Lslope(t ¨1) + 2* Slope(t)/3 Lslope(0)= Slope(0) In one embodiment, said anode effect determination using the high-frequency needle shake, slope and cumulative slope processed data comprises setting threshold values for the slope, cumulative slope and high-frequency needle shake. If the cumulative slope of the anode rod equidistant voltage drop drops continuously for several periods, the slope of the anode rod equidistant voltage drop drops significantly in the present period or the high frequency needle shake of the anode rod equidistant voltage drop increases significantly, it is determined that there is an impending anode effect.
7
Claims (6)
1. A method using anode rod equidistant voltage drop to predict an anode effect, comprising the following steps: mounting an anode rod equidistant voltage drop signal sensor on each anode rod of a prebaked anode electrolytic cell, said anode rod equidistant voltage drop signal sensor transmitting the collected anode rod equidistant voltage drop signal to a front end data analyzer; and analyzing and processing the anode rod equidistant voltage drop data using the front end data analyzer, so as to predict anodes which have an impending anode effect, and transmit the prediction results to the electrolytic cell control machine;
wherein said analysis and processing of the anode rod equidistant voltage drop data using the front end data analyzer comprises: preprocessing the anode rod equidistant voltage drop data; low-pass filtering the processed anode rod equidistant voltage drop data;
high-frequency needle shake processing, slope processing and cumulative slope processing the low-pass filtered data; and using the high-frequency needle shake, slope and cumulative slope processed data for anode effect determination;
wherein said high-frequency needle shake processing of the low-pass filtered data comprises: dividing the time length t into five equal shares; calculating the intensity of the needle shake of anode rod equidistant voltage drop in each period t according to the following formula Shake(k)= V max ¨ V min ¨ VF(k)¨VF(k ¨1)¦; and smooth processing the needle shake intensity in each time period according to the following formula Shake' (k) = 0.75 * Shake(k ¨1) + 0.25 * Shake(k), wherein k =
{1,2,3,4,5} , the needle shake intensity in the present prediction period t being max(Shake' (k)) , wherein V max and V min are the largest and smallest values of the original anode rod equidistant voltage drop in each equal time share, and VF is the low-pass filtered anode rod equidistant voltage drop in each equal time share.
wherein said analysis and processing of the anode rod equidistant voltage drop data using the front end data analyzer comprises: preprocessing the anode rod equidistant voltage drop data; low-pass filtering the processed anode rod equidistant voltage drop data;
high-frequency needle shake processing, slope processing and cumulative slope processing the low-pass filtered data; and using the high-frequency needle shake, slope and cumulative slope processed data for anode effect determination;
wherein said high-frequency needle shake processing of the low-pass filtered data comprises: dividing the time length t into five equal shares; calculating the intensity of the needle shake of anode rod equidistant voltage drop in each period t according to the following formula Shake(k)= V max ¨ V min ¨ VF(k)¨VF(k ¨1)¦; and smooth processing the needle shake intensity in each time period according to the following formula Shake' (k) = 0.75 * Shake(k ¨1) + 0.25 * Shake(k), wherein k =
{1,2,3,4,5} , the needle shake intensity in the present prediction period t being max(Shake' (k)) , wherein V max and V min are the largest and smallest values of the original anode rod equidistant voltage drop in each equal time share, and VF is the low-pass filtered anode rod equidistant voltage drop in each equal time share.
2. The method using anode rod equidistant voltage drop to predict an anode effect according to claim 1, wherein said preprocessing of anode rod equidistant voltage drop data is to preprocess the original data of anode rod equidistant voltage drop over a time length of t of each anode rod of the electrolytic cell, the processing method using the following smoothing formulas to remove abnormal needle shake in the signal:
wherein ~i is the smooth value of y i ; y i is the collected original data value; and the initial two points and last two points of the data are calculated only by the first and second formulas and the fourth and fifth formulas in the above formula set respectively.
wherein ~i is the smooth value of y i ; y i is the collected original data value; and the initial two points and last two points of the data are calculated only by the first and second formulas and the fourth and fifth formulas in the above formula set respectively.
3. The method using anode rod equidistant voltage drop to predict an anode effect according to claim 1, wherein said low-pass filtering of the processed anode rod equidistant voltage drop data uses Butterworth bilinear filtering, the default upper limit of the filtering frequency being 1/600Hz.
4. The method using anode rod equidistant voltage drop to predict an anode effect according to claim 1, wherein said slope processing of the low-pass filtered data comprises the following steps: defining said slope of anode rod equidistant voltage drop as the average rate of change of the low-pass filtered anode rod equidistant voltage drop within the prediction period t; also dividing the time length t into five equal shares, and the slope of anode rod equidistant voltage drop of each anode in the period t being calculated according to the following formula:
Slope(t) = (VF(k - 1) - VF(k - 3) + 2(VF(k) - VF(k - 4))) / 5
Slope(t) = (VF(k - 1) - VF(k - 3) + 2(VF(k) - VF(k - 4))) / 5
5. The method using anode rod equidistant voltage drop to predict an anode effect according to claim 1, wherein said cumulative slope processing of the low-pass filtered data calculates the slope by the following formula:
Lslope(t) = (7 /8)* Lslope(t ¨1)+ 2* Slope(t)/ 3 Lslope(0)= Slope(0) .
Lslope(t) = (7 /8)* Lslope(t ¨1)+ 2* Slope(t)/ 3 Lslope(0)= Slope(0) .
6. The method using anode rod equidistant voltage drop to predict an anode effect according to claim 1, wherein said anode effect determination using the high-frequency needle shake, slope and cumulative slope processed data comprises setting threshold values for the slope, cumulative slope and high-frequency needle shake; and determining that there is an impending anode effect when the cumulative slope of the anode rod equidistant voltage drop drops continuously for several periods, the slope of the anode rod equidistant voltage drop drops significantly in the present period or the high frequency needle shake of the anode rod equidistant voltage drop increases significantly.
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|---|---|---|---|
| CN201110109896.3 | 2011-04-29 | ||
| CN201110109896.3A CN102758219B (en) | 2011-04-29 | 2011-04-29 | Method for forecasting anode effects by isometric voltage drop of anode rods |
| PCT/CN2012/000553 WO2012146059A1 (en) | 2011-04-29 | 2012-04-25 | Method using anode rod equidistant voltage drop to predict anode effect |
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| CN (1) | CN102758219B (en) |
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| CN104831317B (en) * | 2015-05-07 | 2017-10-13 | 北方工业大学 | Method for judging abnormal anode current of aluminum electrolysis cell |
| GB201602627D0 (en) * | 2016-02-15 | 2016-03-30 | Dubai Aluminium Pjsc And Newsouth Innovations Pty Ltd | Method of monitoring indivual anode currents in an electrolytic cell suitable for the Hall-Heroult electrolysis process |
| CN107220402B (en) * | 2017-04-14 | 2020-11-13 | 桂林理工大学 | Aluminum liquid interface simulation method |
| CN108265315B (en) * | 2018-01-26 | 2020-03-13 | 中南大学 | Method and system for forecasting local anode effect of aluminum electrolysis cell |
| CN111763958A (en) * | 2020-08-24 | 2020-10-13 | 沈阳铝镁设计研究院有限公司 | Anode effect detection method based on anode guide rod vibration |
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| CN101967658B (en) * | 2010-11-18 | 2012-08-15 | 北方工业大学 | Aluminum cell anode effect prediction device |
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| NO347531B1 (en) | 2023-12-11 |
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| WO2012146059A1 (en) | 2012-11-01 |
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