State monitoring method and device for aluminum electrolysis cell and aluminum electrolysis equipment
By calculating the cosine similarity of the anode current distribution of the aluminum electrolytic cell and setting the similarity threshold, the accuracy of the operating status monitoring of the aluminum electrolytic cell is solved, and more accurate abnormal judgment and operation prompts are achieved.
Patent Information
- Application Number
- CN202411521750.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-29
- Publication Date
- 2025-02-25
AI Technical Summary
During the operation of an aluminum electrolytic cell, it is difficult for the prior art to accurately monitor its operating status, especially during fluctuations in aluminum concentration or operation, and it is easy to misjudgment of abnormal operating status.
By collecting the anode current data of the aluminum electrolytic cell, the cosine similarity of the anode current distribution is calculated, and the similarity threshold is set according to different operating states to determine the operating state of the aluminum electrolytic cell.
It improves the accuracy of the operating status of the aluminum electrolytic cell, reduces the situation of misjudgment of abnormalities, and prompts technicians to slow down or pause operations in a timely manner.
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Figure CN119506976A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of aluminum electrolysis, for example, to a state monitoring method and device for aluminum electrolysis cells, and aluminum electrolysis equipment. Background Art
[0002] At present, during the operation of aluminum electrolysis cells, it is necessary to evaluate the operating status of aluminum electrolysis cells in real time and adjust various process parameters according to the evaluation results. However, due to the high temperature, strong magnetism, high current and strong corrosion characteristics inside the aluminum electrolysis cells, the operating status of aluminum electrolysis cells is difficult to observe directly.
[0003] In the related art, the operating status of the aluminum electrolysis cell is usually evaluated by monitoring the cell voltage curve of the aluminum electrolysis cell. If the cell voltage fluctuates too much or fluctuates frequently, exceeding the set threshold range, the operating status of the aluminum electrolysis cell will be determined to be abnormal.
[0004] In the process of implementing the embodiments of the present disclosure, it is found that the related technology has at least the following problems:
[0005] When the aluminum concentration in the electrolyte of the aluminum electrolytic cell fluctuates periodically, or when the aluminum electrolytic cell is operated (for example, aluminum discharge, anode replacement, and anode busbar lifting operations), causing the aluminum content in the electrolyte to change, the cell voltage will fluctuate. Therefore, it is very easy to misjudge the abnormal operation state of the aluminum electrolytic cell based on the cell voltage. Therefore, how to improve the accuracy of monitoring the operation state of the aluminum electrolytic cell has become a technical problem that needs to be solved urgently. Summary of the invention
[0006] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical components or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.
[0007] The embodiments of the present disclosure provide a method and device for monitoring the status of an aluminum electrolysis cell, and aluminum electrolysis equipment, which can improve the accuracy of monitoring the operating status of the aluminum electrolysis cell.
[0008] In some embodiments, a state monitoring method for an aluminum electrolysis cell includes: collecting anode current data of the aluminum electrolysis cell, and calculating the cosine similarity of the anode current distribution of the aluminum electrolysis cell based on the anode current data; when the aluminum electrolysis cell is not operated and the cosine similarity is less than a first similarity threshold, determining that the operating state of the aluminum electrolysis cell is abnormal; when the aluminum electrolysis cell is operated, determining a second similarity threshold based on the type of operation currently being performed on the aluminum electrolysis cell; when the cosine similarity is less than the second similarity threshold, issuing a prompt message to slow down or pause the current operation.
[0009] Optionally, the cosine similarity of the anode current distribution of the aluminum electrolysis cell is calculated according to the anode current data according to the following expression:
[0010]
[0011] Among them, cos<I(t),I(t-1)> is the cosine similarity of the anode current distribution between time t and time t-1, |I(t)| is the amplitude of the anode current distribution at time t, and |I(t-1)| is the amplitude of the anode current distribution at time t-1.
[0012] Optionally, after determining that the operating state of the aluminum electrolysis cell is abnormal, the state monitoring method further includes: acquiring operating parameters of the aluminum electrolysis cell; and confirming the abnormal type of the aluminum electrolysis cell according to the operating parameters.
[0013] Optionally, the state monitoring method also includes: statistically calculating the cosine similarity variance of the anode current distribution of the aluminum electrolysis cell in each monitoring cycle within a set time length; and determining the operating stability of the aluminum electrolysis cell based on multiple cosine similarity variances within the set time length.
[0014] Optionally, the cosine similarity variance of the anode current distribution in each monitoring period is calculated according to the following expression:
[0015]
[0016] Among them, Var is the cosine similarity variance, cos xi is the i-th cosine similarity in the monitoring period, cos μ is the mean of all cosine similarities in the monitoring period, and N is the number of cosine similarities in the monitoring period.
[0017] Optionally, the operating stability of the aluminum electrolytic cell is determined based on multiple cosine similarity variances within a set time length, including: constructing a changing trend line graph of the cosine similarity variance based on multiple cosine similarity variances within a set time length; determining the number of unstable points in the changing trend line graph that are greater than or equal to a variance threshold; when the number of unstable points is less than a set number, determining that the operation of the aluminum electrolytic cell is stable; when the number of unstable points is greater than or equal to a set number, determining that the operation of the aluminum electrolytic cell is unstable.
[0018] Optionally, after determining that the operation of the aluminum electrolysis cell is unstable, the state monitoring method further includes: analyzing a trend line graph to determine an improvement plan for the operation of the aluminum electrolysis cell.
[0019] Optionally, the condition monitoring method further includes: counting the operating stabilities of multiple aluminum electrolysis cells of the aluminum electrolysis equipment; and generating a maintenance plan based on the operating stabilities of the multiple aluminum electrolysis cells.
[0020] In some embodiments, a state monitoring device for an aluminum electrolytic cell includes: a calculation module, configured to collect anode current data of the aluminum electrolytic cell, and calculate the cosine similarity of the anode current distribution of the aluminum electrolytic cell based on the anode current data; a monitoring module, configured to determine that the operating state of the aluminum electrolytic cell is abnormal when the aluminum electrolytic cell is not operated and the cosine similarity is less than a first similarity threshold; a determination module, when the aluminum electrolytic cell is operated, determines a second similarity threshold based on the type of operation currently being performed on the aluminum electrolytic cell; the monitoring module is also configured to issue a prompt message to slow down or pause the current operation when the cosine similarity is less than the second similarity threshold.
[0021] In some embodiments, a condition monitoring device for an aluminum electrolysis cell includes a processor and a memory storing program instructions, and the processor is configured to execute the condition monitoring method for an aluminum electrolysis cell as described above.
[0022] In some embodiments, aluminum electrolysis equipment includes: a plurality of aluminum electrolysis cells connected in series via a DC bus; and a status monitoring device for aluminum electrolysis cells as described above, electrically connected to each aluminum electrolysis cell.
[0023] The state monitoring method and device for aluminum electrolysis cell and aluminum electrolysis equipment provided by the embodiments of the present disclosure can achieve the following technical effects:
[0024] In the embodiment of the present disclosure, it is found through research that the anode current distribution in the aluminum electrolytic cell will not fluctuate due to changes in the aluminum content of the electrolyte. Therefore, when the aluminum electrolytic cell is in operation, the embodiment of the present disclosure monitors the operating state of the aluminum electrolytic cell by collecting the anode current data of the aluminum electrolytic cell and calculating the cosine similarity of the anode current distribution of the aluminum electrolytic cell, and sets different similarity thresholds for whether the aluminum electrolytic cell is operated. When the aluminum electrolytic cell is not operated, the cosine similarity of the anode current distribution of the aluminum electrolytic cell is compared with the first similarity threshold to determine whether the operating state of the aluminum electrolytic cell is abnormal. When the aluminum electrolytic cell is operated, the cosine similarity of the anode current distribution of the aluminum electrolytic cell is compared with the second similarity threshold corresponding to the type of operation received to determine whether the operating state of the aluminum electrolytic cell under this operation is abnormal due to this operation, and the technician will be prompted whether to slow down or suspend the current operation according to the judgment result. In this way, the accuracy of monitoring the operating state of the aluminum electrolytic cell is improved.
[0025] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein:
[0027] Figure 1 is a schematic diagram of an aluminum electrolysis device provided by an embodiment of the present disclosure;
[0028] Figure 2 is a schematic diagram of a state monitoring method for an aluminum electrolysis cell provided by an embodiment of the present disclosure;
[0029] Figure 3 is a schematic diagram of a reaction module of an aluminum electrolysis cell provided by an embodiment of the present disclosure;
[0030] Figure 4 is a schematic diagram of another method for monitoring the state of an aluminum electrolysis cell provided by an embodiment of the present disclosure;
[0031] Figure 5 is a schematic diagram of another method for monitoring the state of an aluminum electrolysis cell provided by an embodiment of the present disclosure;
[0032] Figure 6 is a schematic diagram of a state monitoring device for an aluminum electrolysis cell provided by an embodiment of the present disclosure;
[0033] Figure 7 It is a schematic diagram of another state monitoring device for an aluminum electrolysis cell provided in an embodiment of the present disclosure. DETAILED DESCRIPTION
[0034] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.
[0035] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.
[0036] Unless otherwise stated, the term "plurality" means two or more.
[0037] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B indicates: A or B.
[0038] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.
[0039] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.
[0040] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other.
[0041] The aluminum electrolysis equipment 100 provided in the embodiment of the present disclosure is as follows Figure 1 As shown, the aluminum electrolysis equipment 100 includes a plurality of aluminum electrolysis cells 110 and a status monitoring device 600 (700) for the aluminum electrolysis cells.
[0042] Specifically, a plurality of aluminum electrolysis cells 110 are connected in series via a DC bus. A status monitoring device 600 ( 700 ) for an aluminum electrolysis cell is electrically connected to each aluminum electrolysis cell 110 .
[0043] Optionally, the state monitoring device 700 for an aluminum electrolytic cell includes a processor, which can collect anode current data of the aluminum electrolytic cell and calculate the cosine similarity of the anode current distribution of the aluminum electrolytic cell based on the anode current data. When the aluminum electrolytic cell is not operated, the calculated cosine similarity is compared with the first similarity threshold to determine whether the operating state of the aluminum electrolytic cell is abnormal. When the aluminum electrolytic cell is operated, the calculated cosine similarity is compared with the second similarity threshold corresponding to the type of operation currently being performed on the aluminum electrolytic cell to determine whether the operating state of the aluminum electrolytic cell under this operation is abnormal due to this operation, and the technician will be prompted whether it is necessary to slow down or pause the current operation according to the judgment result.
[0044] Combination Figure 1 The aluminum electrolysis equipment shown in the figure, the embodiment of the present disclosure provides a state monitoring method for an aluminum electrolysis cell, such as Figure 2 As shown, the condition monitoring method includes:
[0045] S201, the processor collects anode current data of the aluminum electrolysis cell, and calculates the cosine similarity of the anode current distribution of the aluminum electrolysis cell based on the anode current data.
[0046] Specifically, one or more components are provided in the aluminum electrolysis cell. Figure 3The reaction modules shown, the current flowing through the anode guide rod of each reaction module is the anode current data of the aluminum electrolytic cell.
[0047] Specifically, a current sensor connected to the anode guide rod of the reaction module is provided on the aluminum electrolysis cell. The current sensor is electrically connected to the processor, and the processor can collect anode current data of the aluminum electrolysis cell through the current sensor.
[0048] Specifically, the anode current distribution of the aluminum electrolytic cell is a multivariate time series. When the state of the reaction module where an anode is located changes, not only the anode current data at that location will change, but also the anode current data of the other reaction modules will change accordingly, thus causing the overall anode current distribution of the aluminum electrolytic cell to change. Therefore, the time series vector of the anode current distribution of the aluminum electrolytic cell at each moment can be expressed by the following expression:
[0049] I(t)=(I1(t),I2(t),...,I N (t));
[0050] Wherein, I(t) is the time series vector of the anode current distribution of the aluminum electrolysis cell at time t, and N is the number of reaction modules in the aluminum electrolysis cell.
[0051] Optionally, the cosine similarity of the anode current distribution of the aluminum electrolysis cell is calculated according to the anode current data according to the following expression:
[0052]
[0053] Among them, cos<I(t),I(t-1)> is the cosine similarity of the anode current distribution between time t and time t-1, |I(t)| is the amplitude of the anode current distribution at time t, and |I(t-1)| is the amplitude of the anode current distribution at time t-1.
[0054] S202: When the aluminum electrolysis cell is not operated and the cosine similarity is less than a first similarity threshold, the processor determines that the operating state of the aluminum electrolysis cell is abnormal.
[0055] Specifically, the operation of the aluminum reduction cell to be detected refers to normal operations such as aluminum tapping, anode replacement, and anode busbar lifting by technicians when the aluminum reduction cell is electrolyzing aluminum. Specifically, it is possible to determine whether the aluminum reduction cell has been subjected to aluminum tapping operations by detecting parameters such as the aluminum tapping amount and aluminum liquid level of the aluminum reduction cell. It is possible to determine whether the aluminum reduction cell has been subjected to anode replacement operations by detecting parameters such as the temperature and position of the anode. It is possible to determine whether the aluminum reduction cell has been subjected to anode busbar lifting operations by checking the contact between the busbar and the anode guide rod.
[0056] Specifically, the first similarity threshold is the boundary value between the normal operation state and the abnormal operation state of the cosine similarity of the anode current distribution when the aluminum electrolysis cell is not operated. Therefore, if the aluminum electrolysis cell is not operated and the cosine similarity is less than the first similarity threshold, it can be determined that the operation state of the aluminum electrolysis cell is abnormal.
[0057] S203: When the aluminum electrolysis cell is operated, the processor determines a second similarity threshold according to the type of operation currently being performed on the aluminum electrolysis cell.
[0058] Specifically, the second similarity threshold is the boundary value of the cosine similarity of the anode current distribution when the aluminum electrolytic cell is operated, and the normal operation state and the abnormal operation state under the operation type. Therefore, after determining that the aluminum electrolytic cell is operated, it is first necessary to determine the second similarity threshold according to the operation type currently being operated on the aluminum electrolytic cell.
[0059] Specifically, a correspondence relationship between the operation type and the similarity threshold is pre-constructed, and the processor may determine the second similarity threshold corresponding to the operation type based on the correspondence relationship.
[0060] S204: When the cosine similarity is less than the second similarity threshold, the processor issues a prompt message to slow down or pause the current operation.
[0061] Specifically, when the aluminum electrolysis cell is operated, if the cosine similarity is less than the second similarity threshold, it indicates that after the aluminum electrolysis cell is currently operated, the anode current distribution of the aluminum electrolysis cell has a large fluctuation. In this case, it can be determined that the operation state of the aluminum electrolysis cell is abnormal due to the current operation. Therefore, in the above case, the processor will issue a prompt message to slow down or pause the current operation.
[0062] In the embodiment of the present disclosure, it is found through research that the anode current distribution in the aluminum electrolytic cell will not fluctuate due to changes in the aluminum content of the electrolyte. Therefore, when the aluminum electrolytic cell is in operation, the embodiment of the present disclosure monitors the operating state of the aluminum electrolytic cell by collecting the anode current data of the aluminum electrolytic cell and calculating the cosine similarity of the anode current distribution of the aluminum electrolytic cell, and sets different similarity thresholds for whether the aluminum electrolytic cell is operated. When the aluminum electrolytic cell is not operated, the cosine similarity of the anode current distribution of the aluminum electrolytic cell is compared with the first similarity threshold to determine whether the operating state of the aluminum electrolytic cell is abnormal. When the aluminum electrolytic cell is operated, the cosine similarity of the anode current distribution of the aluminum electrolytic cell is compared with the second similarity threshold corresponding to the type of operation received to determine whether the operating state of the aluminum electrolytic cell under this operation is abnormal due to this operation, and the technician will be prompted whether to slow down or suspend the current operation according to the judgment result. In this way, the accuracy of monitoring the operating state of the aluminum electrolytic cell is improved.
[0063] The present disclosure provides another method for monitoring the state of an aluminum electrolysis cell. Figure 4 As shown, the condition monitoring method includes:
[0064] S401, the processor collects anode current data of the aluminum electrolysis cell, and calculates the cosine similarity of the anode current distribution of the aluminum electrolysis cell based on the anode current data.
[0065] S402: When the aluminum electrolysis cell is not operated and the cosine similarity is less than a first similarity threshold, the processor determines that the operating state of the aluminum electrolysis cell is abnormal.
[0066] S403, the processor obtains the operating parameters of the aluminum electrolysis cell.
[0067] Specifically, the operating parameters of the aluminum reduction cell are parameters that can be used to diagnose fault problems of the aluminum reduction cell, for example, two levels of the aluminum reduction cell, cell voltage and cell current, etc.
[0068] S404: The processor confirms the abnormal type of the aluminum electrolytic cell according to the operating parameters.
[0069] Specifically, the cause of the abnormality of the aluminum electrolysis cell can be analyzed based on the operating parameters. Therefore, the processor can determine the abnormality type of the aluminum electrolysis cell according to the operating parameters of the aluminum electrolysis cell.
[0070] S405: When the aluminum electrolysis cell is operated, the processor determines a second similarity threshold according to the type of operation currently being performed on the aluminum electrolysis cell.
[0071] S406: When the cosine similarity is less than the second similarity threshold, the processor issues a prompt message to slow down or pause the current operation.
[0072] In the embodiment of the present disclosure, when it is determined that the operation state of the aluminum electrolysis cell is abnormal, the abnormal type of the aluminum electrolysis cell is analyzed according to the operation parameters of the aluminum electrolysis cell. In this way, it is convenient for technicians to quickly locate the location of the aluminum electrolysis cell fault and to repair and maintain the aluminum electrolysis cell.
[0073] The present disclosure provides another method for monitoring the state of an aluminum electrolysis cell. Figure 5 As shown, the condition monitoring method includes:
[0074] S501, the processor collects anode current data of the aluminum electrolysis cell, and calculates the cosine similarity of the anode current distribution of the aluminum electrolysis cell based on the anode current data.
[0075] S502: When the aluminum electrolysis cell is not operated and the cosine similarity is less than a first similarity threshold, the processor determines that the operating state of the aluminum electrolysis cell is abnormal.
[0076] S503: When the aluminum electrolysis cell is operated, the processor determines a second similarity threshold according to the type of operation currently being performed on the aluminum electrolysis cell.
[0077] S504: When the cosine similarity is less than the second similarity threshold, the processor issues a prompt message to slow down or pause the current operation.
[0078] S505: The processor counts the cosine similarity variance of the anode current distribution of the aluminum electrolytic cell in each monitoring cycle within a set time period.
[0079] Specifically, the set duration is a relatively long time range, for example, it can be one week, one month or one year. The monitoring period is a relatively short time range, for example, it can be 6 hours, 12 hours or 24 hours.
[0080] Specifically, by counting the cosine similarity variance of the anode current distribution in each monitoring cycle within the set time, the variation trend of the variance within the set time can be analyzed and determined, thereby longitudinally examining the variation of the operating stability of the aluminum electrolytic cell. Therefore, the processor needs to count the cosine similarity variance of the anode current distribution of the aluminum electrolytic cell in each monitoring cycle within the set time.
[0081] Optionally, the cosine similarity variance of the anode current distribution in each monitoring period is calculated according to the following expression:
[0082]
[0083] Among them, Var is the cosine similarity variance, cos xi is the i-th cosine similarity in the monitoring period, cos μ is the mean of all cosine similarities in the monitoring period, and N is the number of cosine similarities in the monitoring period.
[0084] S506: The processor determines the operating stability of the aluminum electrolytic cell according to multiple cosine similarity variances within a set time period.
[0085] Specifically, based on multiple cosine similarity variances within a set time, the change trend of the cosine similarity variance of the anode current distribution of the aluminum electrolytic cell over time can be analyzed. If the change trend is stable, it means that the operation of the aluminum electrolytic cell is stable. Therefore, the processor can determine the operating stability of the aluminum electrolytic cell based on multiple cosine similarity variances within a set time.
[0086] Optionally, the operating stability of the aluminum electrolytic cell is determined based on multiple cosine similarity variances within a set time length, including: constructing a changing trend line graph of the cosine similarity variance based on multiple cosine similarity variances within a set time length; determining the number of unstable points in the changing trend line graph that are greater than or equal to a variance threshold; when the number of unstable points is less than a set number, determining that the operation of the aluminum electrolytic cell is stable; when the number of unstable points is greater than or equal to a set number, determining that the operation of the aluminum electrolytic cell is unstable.
[0087] Specifically, by constructing a cosine similarity variance variation trend line graph and counting the number of unstable points in the variation trend line graph that are greater than or equal to the variance threshold, it can be determined whether the variation trend of the cosine similarity variance of the anode current distribution of the aluminum electrolysis cell is stable.
[0088] Specifically, if the number of unstable points is less than the set number, it indicates that the fluctuation of the cosine similarity of the anode current distribution of the aluminum electrolysis cell is small. Therefore, in this case, it can be determined that the operation of the aluminum electrolysis cell is stable.
[0089] Specifically, if the number of unstable points is less than or equal to the set number, it indicates that the cosine similarity of the anode current distribution of the aluminum electrolysis cell fluctuates greatly. Therefore, in this case, it can be determined that the operation of the aluminum electrolysis cell is unstable.
[0090] In the disclosed embodiment, the cosine similarity variance of the anode current distribution of the aluminum electrolytic cell in each monitoring cycle within a set time period is statistically analyzed to achieve the analysis of the operating stability of the aluminum electrolytic cell. In this way, when the operating stability of the aluminum electrolytic cell is poor, a solution to improve the operation can be given in a targeted manner.
[0091] In some embodiments, after determining that the operation of the aluminum electrolysis cell is unstable, the state monitoring method further includes: analyzing a trend line graph to determine an improvement plan for the operation of the aluminum electrolysis cell.
[0092] Specifically, by analyzing the trend line graph, we can determine what operation caused the large fluctuation of the cosine similarity variance of the anode current distribution. Therefore, we can improve the operation in a targeted manner, for example, we can increase the depth of the anode, improve the material feeding interval, adjust the set voltage, and change the aluminum output.
[0093] In some embodiments, the condition monitoring method further includes: counting the operating stability of multiple aluminum electrolysis cells of the aluminum electrolysis equipment; and generating a maintenance plan based on the operating stability of the multiple aluminum electrolysis cells.
[0094] Specifically, by counting the operating stability of multiple aluminum electrolytic cells of an aluminum electrolytic equipment, it is possible to determine which aluminum electrolytic cells of the aluminum electrolytic equipment have more serious abnormal problems, which aluminum electrolytic cells have less abnormal problems, and which aluminum electrolytic cells have no abnormal problems. Therefore, a maintenance plan can be generated based on the operating stability of multiple aluminum electrolytic cells.
[0095] In the disclosed embodiment, the maintenance plan for multiple aluminum electrolysis cells can be determined by statistically analyzing the operating stability of multiple aluminum electrolysis cells of the aluminum electrolysis equipment. In this way, technicians can prioritize the maintenance of aluminum electrolysis cells with more serious abnormal problems, thereby improving the reliability of the operation of the aluminum electrolysis equipment.
[0096] Combination Figure 6 As shown, an embodiment of the present disclosure provides a state monitoring device 600 for an aluminum electrolytic cell, comprising: a calculation module 601, a monitoring module 602 and a determination module 603. The calculation module 601 is configured to collect anode current data of the aluminum electrolytic cell, and calculate the cosine similarity of the anode current distribution of the aluminum electrolytic cell based on the anode current data. The monitoring module 602 is configured to determine that the operating state of the aluminum electrolytic cell is abnormal when the aluminum electrolytic cell is not operated and the cosine similarity is less than a first similarity threshold. The determination module 603 determines a second similarity threshold according to the type of operation currently being performed on the aluminum electrolytic cell when the aluminum electrolytic cell is operated. The monitoring module 602 is also configured to issue a prompt message to slow down or pause the current operation when the cosine similarity is less than the second similarity threshold.
[0097] Combination Figure 7 As shown, the embodiment of the present disclosure provides a state monitoring device 700 for an aluminum reduction cell, and the state monitoring device 700 for an aluminum reduction cell includes: a processor (processor) 701 and a memory (memory) 702. Optionally, the device may also include a communication interface (Communication Interface) 703 and a bus 704. Among them, the processor 701, the communication interface 703, and the memory 702 can communicate with each other through the bus 704. The communication interface 703 can be used for information transmission. The processor 701 can call the logic instructions in the memory 702 to execute the state monitoring method for the aluminum reduction cell of the above embodiment.
[0098] In addition, the logic instructions in the memory 702 described above may be implemented in the form of software functional units and when sold or used as independent products, may be stored in a computer-readable storage medium.
[0099] The memory 702 is a computer-readable storage medium that can be used to store software programs and computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 701 executes the function application and data processing by running the program instructions / modules stored in the memory 702, that is, the state monitoring method for aluminum electrolytic cell in the above embodiment is realized.
[0100] The memory 702 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 702 may include a high-speed random access memory and may also include a non-volatile memory.
[0101] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned condition monitoring method for an aluminum electrolysis cell.
[0102] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes.
[0103] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible changes. Unless explicitly required, separate components and functions are optional, and the order of operation may vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of listings containing one or more associated ones. In addition, when used in the present application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method or device comprising the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.
[0104] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.
[0105] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.
[0106] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.
Claims
1. A method for monitoring the state of an aluminum electrolytic cell, characterized in that: include: Collecting anode current data of the aluminum electrolytic cell, and calculating the cosine similarity of the anode current distribution of the aluminum electrolytic cell according to the anode current data; When the aluminum electrolysis cell is not operated and the cosine similarity is less than a first similarity threshold, determining that the operating state of the aluminum electrolysis cell is abnormal; In the case where the aluminum electrolysis cell is operated, determining a second similarity threshold according to the type of operation currently being performed on the aluminum electrolysis cell; When the cosine similarity is less than the second similarity threshold, a prompt message is issued to slow down or pause the current operation.
2. The condition monitoring method according to claim 1, characterized in that: The cosine similarity of the anode current distribution of the aluminum electrolysis cell is calculated according to the anode current data as follows: Among them, cos<I(t),I(t-1)> is the cosine similarity of the anode current distribution between time t and time t-1, |I(t)| is the amplitude of the anode current distribution at time t, and |I(t-1)| is the amplitude of the anode current distribution at time t-1.
3. The state monitoring method according to claim 1, characterized in that: After determining that the operating state of the aluminum electrolytic cell is abnormal, the state monitoring method further includes: Obtaining operating parameters of aluminum electrolysis cells; Confirm the abnormal type of aluminum electrolysis cell based on operating parameters.
4. The condition monitoring method according to any one of claims 1 to 3, characterized in that: Condition monitoring methods also include: Statistically calculate the cosine similarity variance of the anode current distribution of the aluminum electrolytic cell in each monitoring cycle within a set time period; The operational stability of the aluminum reduction cell is determined based on multiple cosine similarity variances within a set time period.
5. The condition monitoring method according to claim 4, characterized in that: The cosine similarity variance of the anode current distribution in each monitoring period is calculated according to the following expression: Among them, Var is the cosine similarity variance, cos xi is the i-th cosine similarity in the monitoring period, cos μ is the mean of all cosine similarities in the monitoring period, and N is the number of cosine similarities in the monitoring period.
6. The condition monitoring method according to claim 4, characterized in that: The operational stability of the aluminum reduction cell is determined based on multiple cosine similarity variances within a set time period, including: According to multiple cosine similarity variances within a set time period, a line graph of the change trend of the cosine similarity variance is constructed; Determine the number of unstable points in the trend line graph that are greater than or equal to the variance threshold; When the number of unstable points is less than the set number, the operation of the aluminum reduction cell is determined to be stable; When the number of unstable points is greater than or equal to the set number, it is determined that the operation of the aluminum electrolysis cell is unstable.
7. The condition monitoring method according to claim 6, characterized in that: After determining that the aluminum reduction cell is operating unstably, the condition monitoring method also includes: Analyze the trend line chart to determine the improvement plan for the operation of aluminum electrolytic cells.
8. The condition monitoring method according to claim 4, characterized in that: Condition monitoring methods also include: Statistical analysis of the operating stability of multiple aluminum reduction cells in aluminum reduction equipment; Generate maintenance plans based on the operational stability of multiple aluminum reduction cells.
9. A state monitoring device for an aluminum electrolytic cell, characterized in that: include: A calculation module is configured to collect anode current data of the aluminum electrolysis cell and calculate the cosine similarity of the anode current distribution of the aluminum electrolysis cell according to the anode current data; A monitoring module is configured to determine that the operating state of the aluminum electrolysis cell is abnormal when the aluminum electrolysis cell is not operated and the cosine similarity is less than a first similarity threshold; A determination module, when the aluminum electrolysis cell is operated, determines a second similarity threshold according to the type of operation currently being performed on the aluminum electrolysis cell; The monitoring module is further configured to issue a prompt message to slow down or pause the current operation when the cosine similarity is less than a second similarity threshold.
10. A state monitoring device for an aluminum electrolytic cell, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to be able to execute the condition monitoring method for an aluminum electrolysis cell according to any one of claims 1 to 7.
11. An aluminum electrolysis device, characterized in that: include: Multiple aluminum electrolytic cells are connected in series via a DC bus; The condition monitoring device for an aluminum electrolysis cell as claimed in claim 9 or 10 is electrically connected to each aluminum electrolysis cell.