CN-121995099-A - Multi-time window based aluminum electrolysis anode effect identification method and device

CN121995099ACN 121995099 ACN121995099 ACN 121995099ACN-121995099-A

Abstract

The application discloses a multi-time window based aluminum electrolysis anode effect identification method and a multi-time window based aluminum electrolysis anode effect identification device, and relates to the technical field of aluminum electrolysis, wherein the method comprises the steps of dividing a target aluminum electrolysis cell into a plurality of areas, wherein each area comprises at least 1 pair of anodes; and based on multi-time window data, identifying whether the current area has an aluminum electrolysis anode effect according to the difference of the equivalent area resistance, the variation coefficient of the tank voltage and the average value of the tank voltage, if so, giving an anode effect early warning and discharging aluminum oxide for the adjacent areas of the current area and the current area for a set number of times, otherwise, traversing the next area until all the areas are traversed. The application can improve the stability of aluminum electrolysis production.

Inventors

MENG YI
ZHAO RENTAO
TIE JUN
CHEN YINGBIN
XIAO HAO
ZHANG ZHIFANG
LIU DONGWEI
TIAN HAO
LI CHUN
Yi Yongting

Assignees

北方工业大学
广西田林百矿铝业有限公司
北京世维通光智能科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260126

Claims (10)

1. The method for identifying the anode effect of the aluminum electrolysis based on the multi-time window is characterized by comprising the following steps of: dividing a target aluminum electrolysis cell into a plurality of areas according to the number of charging ports and the spatial distribution characteristics, wherein each area comprises at least 1 pair of anodes; Sampling the cell voltage and the cell current of each region according to a set sampling period, traversing each region in a circulating mode when the sampling time is longer than a set time length, acquiring a region current time sequence and a cell voltage time sequence in the set time length before the current time and the current time when traversing to the current region, dividing the set time length into three time windows, namely a first time window, a second time window and a third time window, wherein the time length from the starting time of the third time window to the ending time of the first time window is the set time length, the third time window and the second time window have an overlapping part, the second time window and the first time window are not overlapped and are stored at the set time interval, calculating the equivalent region resistance of the current time according to the region current time sequence and the cell voltage time sequence in the first time window, and calculating the cell voltage variation coefficient and the cell voltage time sequence according to the region current time sequence and the cell voltage time sequence in the second time window The equivalent area resistance at the moment in time, The moment is the ending moment of the second time window, a third slot voltage average value is calculated according to the slot voltage time sequence in the third time window, and the current moment are used for calculating the third slot voltage average value And identifying whether an aluminum electrolysis anode effect occurs in the current area by the difference of the resistances of the equivalent areas at the moment, the variation coefficient of the cell voltage and the average value of the third cell voltage, if so, sending an anode effect early warning and discharging aluminum oxide for a set number of times in the current area and the adjacent area of the current area, and if not, traversing the next area until all areas are traversed.
2. The multi-time window based aluminum electrolysis anode effect identification method according to claim 1, wherein the first time window is from the current time to the time before the current time A time period, the second time window is From moment to moment Before the moment A time period, wherein the time length of the overlapping part of the third time window and the second time window is The time length of the non-overlapped part of the third time window and the second time window is as follows The time length between the second time window end time and the current time is , In order to sample the period of time, 、、 And Are all constant and are used for the preparation of the high-voltage power supply, Is a positive integer greater than (n+1) and less than 60, n is greater than or equal to 3 and less than Is a positive integer of (a) and (b), Positive integers greater than 1 and less than 120, 0< p <1, , To round-down functions.
3. The multi-time window based aluminum electrolysis anode effect identification method according to claim 1, wherein the method is characterized in that according to the current time and the current time Identifying whether an aluminum electrolysis anode effect occurs in the current area according to the difference of the resistances of the equivalent areas at the moment, the variation coefficient of the cell voltage and the average value of the third cell voltage, and specifically comprising the following steps: If it is It is determined that no anode effect occurs at the current time of the current region, wherein, For the current time and The difference in the equivalent area resistances at the moment in time, Is the equivalent area resistance difference threshold value, R is the cell resistance of the target electrolytic cell; If it is Judging whether the first slot voltage average value is larger than or equal to a slot voltage threshold value or not to obtain a judging result, wherein the first slot voltage average value is calculated according to a slot voltage time sequence in the first time window, the slot voltage threshold value is determined according to a second slot voltage average value, a third slot voltage average value and the slot voltage variation coefficient, the second slot voltage average value is calculated according to a slot voltage time sequence in the second time window, and the third slot voltage average value is calculated according to a slot voltage time sequence in the third time window; if the judgment result is yes, judging that the anode effect is generated or is about to occur at the current moment of the current area, and blanking alumina for set times in the current area and the adjacent area of the current area; if the judgment result is negative, judging that the anode effect does not occur at the current moment of the current area.
4. The method for identifying the anode effect of the aluminum electrolysis based on the multiple time windows according to claim 3, wherein the value range of the set times is as follows , In order to set the number of times, The number of anodes contained for the current zone.
5. The multi-time window based aluminum electrolysis anode effect identification method of claim 3, wherein the cell voltage threshold is expressed as: ; Wherein, the As a result of the tank voltage threshold value, As an average value of the second tank voltage, As an average value of the third tank voltage, As a function of the coefficient of variation of the cell voltage, In order to set the coefficient of variation threshold, , For the first set voltage value, the first voltage value, , Is the average value of cell voltage in the target aluminum electrolysis cell for 30 days.
6. The multi-time window based aluminum electrolysis anode effect identification method according to claim 1, wherein the calculating of the equivalent area resistance at the current moment according to the area current time sequence and the cell voltage time sequence in the first time window specifically comprises: Respectively calculating a first area current average value and a first slot voltage average value in a first time window according to the area current time sequence and the slot voltage time sequence in the first time window; Calculating the equivalent area resistance at the current moment according to the first area current average value and the first slot voltage average value; The equivalent area resistance calculation formula at the current moment is as follows: ; Wherein, the Is the equivalent area resistance at the current moment, As an average value of the first tank voltage, As an average value of the current in the first region, For the second set voltage value, the first set voltage value, 。
7. The multi-time window based aluminum electrolysis anode effect identification method according to claim 1, wherein the calculation is based on the time sequence of the area current and the time sequence of the cell voltage in the second time window The equivalent area resistance at the moment specifically comprises: Respectively calculating a second area current average value and a second slot voltage average value in a second time window according to the area current time sequence and the slot voltage time sequence in the second time window; Calculating from the second area current average value and the second slot voltage average value The equivalent area resistance at the moment; The calculation formula of the equivalent area resistance at the moment is as follows: ; Wherein, the Is that The equivalent area resistance at the moment in time, As an average value of the voltage in the second tank, Is the average value of the current in the second region, For the second set voltage value, the first set voltage value, 。
8. The multi-time window based aluminum electrolysis anode effect identification method according to claim 7, wherein the calculation formula of the cell voltage variation coefficient is: ; ; Wherein, the As a function of the coefficient of variation of the cell voltage, For a standard deviation of the tank voltage in the second time window, The slot voltage at time x is the slot voltage at time x, Is the number of sampling periods within the second time window.
9. The multi-time window based aluminum electrolysis anode effect identification method according to claim 1, wherein the target aluminum electrolysis cell is divided into a plurality of areas according to the number of charging ports and the spatial distribution characteristics, each area comprises at least 1 pair of anodes, and specifically comprises: Dividing the installation position of the anode into two axisymmetric sides by taking the central line of the target aluminum electrolysis cell in the length direction as an axis, wherein the two sides are respectively an A side and a B side, and one anode on the A side and the anode on the B side which are axisymmetric form 1 pair of anodes; The target aluminum electrolysis cell is divided into a plurality of areas according to the number of charging holes and the spatial distribution characteristics, and each area comprises at least 1 pair of anodes.
10. An aluminum electrolysis anode effect identification device based on a multi-time window is characterized in that the aluminum electrolysis anode effect identification device based on the multi-time window comprises: the zone dividing module is used for dividing the target aluminum electrolysis cell into a plurality of zones according to the number of charging ports and the space distribution characteristics, and each zone comprises at least 1 pair of anodes; The anode effect identification and processing module is used for sampling the cell voltage and the cell current of each region according to a set sampling period, traversing each region in a circulating mode when the sampling time is longer than a set time length, acquiring a region current time sequence and a cell voltage time sequence in the set time length at the current time and before the current time when traversing to the current region, dividing the set time length into three time windows, namely a first time window, a second time window and a third time window, wherein the time length from the starting time of the third time window to the ending time of the first time window is the set time length, the third time window and the second time window have an overlapping part, the second time window and the first time window are not overlapped and are stored at set time intervals, calculating the equivalent region resistance at the current time according to the region current time sequence and the cell voltage time sequence in the first time window, and calculating the cell voltage variation coefficient and the cell voltage time sequence according to the region current time sequence and the cell voltage time sequence in the second time window The equivalent area resistance at the moment in time, The moment is the ending moment of the second time window, a third slot voltage average value is calculated according to the slot voltage time sequence in the third time window, and the current moment are used for calculating the third slot voltage average value And identifying whether an aluminum electrolysis anode effect occurs in the current area by the difference of the resistances of the equivalent areas at the moment, the variation coefficient of the cell voltage and the average value of the third cell voltage, if so, sending an anode effect early warning and discharging aluminum oxide for a set number of times in the current area and the adjacent area of the current area, and if not, traversing the next area until all areas are traversed.

Description

Multi-time window based aluminum electrolysis anode effect identification method and device Technical Field The application relates to the technical field of aluminum electrolysis, in particular to an aluminum electrolysis anode effect identification method and device based on multiple time windows. Background Cryolite-alumina fused salt electrolysis is the only method for industrially preparing metallic aluminum at present, and the anode effect is a phenomenon which cannot be avoided and frequently occurs in the industrial production process. When the anode effect occurs, the cell voltage can be caused to rise sharply and fluctuate sharply, the electric energy loss is increased, the current efficiency is reduced, the heating cell is induced, and the perfluorocarbon strong greenhouse gas is discharged in a large quantity, so that the normal industrial production and the ecological environment are seriously damaged. Too low a concentration of alumina in the electrolytic cell near the anode is the root cause of the anode effect formation. The anode effect generally occurs first on the individual anode, which is called the local anode effect or the low voltage anode effect. When the local anode effect occurs, the anode bubble resistance increases, so that the anode current on the anode and the area current of the area where the anode is positioned are obviously reduced, but the cell voltage is not obviously changed. And if the alumina supplementation in the area is not timely and insufficient, or the electrolyte mass transfer behavior in the electrolytic tank cannot fully supplement the alumina for the low alumina concentration area, the local anode effect is expanded to other anodes or other areas, and finally the whole tank effect and the flicker effect are initiated, namely the high-voltage anode effect, and the tank voltage is rapidly increased to 8V or more and is severely fluctuated at the moment, so that the tank voltage can be detected by the tank control machine, and the tank control machine sends an alarm after a few seconds to remind a field worker to perform manual extinguishing operation of the anode effect, and the manual extinguishing operation also takes 1-5 minutes. The whole process of detecting, alarming and extinguishing the anode effect based on the cell voltage is a technical problem facing all aluminum electrolysis factories at present, not only consumes manpower and material resources, but also causes the anode effect to be extinguished after lasting for a plurality of minutes, and the problems of remarkably reduced current efficiency, large emission of perfluorocarbon strong greenhouse gases, increased power consumption and the like are solved. More serious, the occurrence of local anode effect can cause the emission of perfluorocarbon strong greenhouse gas, but the current detection technology and method based on tracking cell voltage can not detect the local anode effect, so that the problem of perfluorocarbon strong greenhouse gas emission in the aluminum electrolysis production process can not be solved effectively. Disclosure of Invention The application aims to provide an aluminum electrolysis anode effect identification method and device based on a multi-time window, which can reduce electric energy loss and perfluorocarbon strong greenhouse gas emission and improve the stability of aluminum electrolysis production. In order to achieve the above object, the present application provides the following solutions: In a first aspect, the present application provides a multi-time window based method for identifying an anode effect of aluminum electrolysis, the multi-time window based method for identifying an anode effect of aluminum electrolysis comprising: dividing a target aluminum electrolysis cell into a plurality of areas according to the number of charging ports and the spatial distribution characteristics, wherein each area comprises at least 1 pair of anodes; Sampling the cell voltage and the cell current of each region according to a set sampling period, traversing each region in a circulating mode when the sampling time is longer than a set time length, acquiring a region current time sequence and a cell voltage time sequence in the set time length before the current time and the current time when traversing to the current region, dividing the set time length into three time windows, namely a first time window, a second time window and a third time window, wherein the time length from the starting time of the third time window to the ending time of the first time window is the set time length, the third time window and the second time window have an overlapping part, the second time window and the first time window are not overlapped and are stored at the set time interval, calculating the equivalent region resistance of the current time according to the region current time sequence and the cell voltage time sequence in the first time window, and calculating the cell voltag