Electrolytic tank voltage monitoring and alarming method and electrolytic tank voltage monitoring and alarming system

Abstract

The invention relates to the technical field of electrolytic bath monitoring, in particular to an electrolytic bath voltage monitoring alarm method and system.The method comprises the steps that to-be-detected voltage data of an electrolytic bath are obtained, data diagnosis processing is conducted on the to-be-detected voltage data, and the health trend of the electrolytic bath is obtained; based on the health trend, whether the electrolytic cell has a voltage abnormal condition or not is determined, if yes, a fault monitoring instruction which is used for conducting fault detection on the electrolytic cell and matched with the health trend is generated, and fault point positioning is conducted on the electrolytic cell according to the fault monitoring instruction. The voltage abnormity maintenance efficiency of the electrolytic cell is improved.

Description

Technical Field

[0001] The present application relates to the technical field of electrolytic cell monitoring, and in particular to an electrolytic cell voltage monitoring and alarm method and system. Background Art

[0002] In the existing electrolysis process, the voltage monitoring of the electrolytic cell usually relies on manual work, measuring the voltage of each electrolytic cell one by one. This is not only time-consuming and labor-intensive, but also difficult to detect voltage anomalies in a timely manner, posing certain safety hazards.

[0003] At present, in response to the safety hazards mentioned above, the electrolysis system developed has begun to use automated monitoring equipment, which can automatically monitor the voltage of the electrolytic cell to solve the problem of timeliness in detecting voltage anomalies. Although the automated monitoring equipment can detect voltage anomalies in a timely manner, there are many factors that cause voltage anomalies. Therefore, maintenance personnel cannot determine the root cause of the voltage anomaly in the first time when performing voltage anomaly maintenance. This also leads to the maintenance personnel needing to spend more time to find the root cause of the abnormal voltage when handling the subsequent voltage anomaly. After the search is completed and confirmed, the subsequent maintenance work can be carried out, thereby reducing the maintenance efficiency of the electrolytic cell voltage anomaly. Summary of the invention

[0004] In order to solve at least one of the above-mentioned technical problems, the present application provides an electrolytic cell voltage monitoring and alarm method and system.

[0005] In the first aspect, the present application provides an electrolytic cell voltage monitoring and alarm method, which adopts the following technical solution: Acquire historical abnormal event information, wherein the historical abnormal event information is the power abnormal event that occurred in the smart electric energy meter within a historical period, the abnormal degree of the power abnormal event, and the power parameter change of the smart electric energy meter corresponding to the power abnormal event; Determine the starting time period when the power abnormal event occurs in the smart electric energy meter and the power parameter changes in the starting time period according to the historical abnormal event information; Generate an abnormal event monitoring standard according to the abnormal power event, the abnormal degree, the starting time period corresponding to the abnormal power event, and the power parameter change; Collect real-time monitoring power parameters within a preset time, and determine whether an abnormal event has occurred in the real-time monitoring power parameters based on the abnormal event monitoring standard. If an abnormal event has occurred, record and store the abnormal event, and control the display of the abnormal event after recording and storage.

[0006] In a possible implementation, the performing data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell includes: Acquire historical operation data of the electrolytic cell, wherein the historical operation data is voltage data changes, operation fault data, and environment data corresponding to different parts and positions of the electrolytic cell with different application durations during a historical period when different degrees of abnormality occur; Performing data training on the historical operation data, and constructing data models corresponding to electrolytic cells of different application durations, and monitoring the operation status of the electrolytic cells according to the data models; Inputting the voltage data to be detected into a data model of a corresponding type according to the application duration of the electrolytic cell, and generating a current operating state corresponding to the electrolytic cell; The remaining service life of the electrolytic cell is calculated based on the current operating state, the next operating state of the electrolytic cell is predicted based on the remaining service life, and the impact of each maintenance number on the remaining service life is calculated in combination with the maintenance number, energy consumption and component wear of the electrolytic cell to obtain the health trend of the electrolytic cell.

[0007] In a possible implementation, the performing of data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell also includes: The voltage data to be detected is filtered and amplified to obtain the voltage data to be detected after filtering out abnormal band data, wherein the abnormal band data includes abnormal operation data that is too high or too low caused by overload operation of the electrolytic cell.

[0008] In a possible implementation, the method of locating the fault point of the electrolytic cell according to the fault monitoring instruction further includes: Obtaining data transcoding rules and data forwarding rules corresponding to the electrolytic cell; Based on the data transcoding rule, the fault monitoring instruction is transcoded to obtain the abnormal data to be forwarded of the electrolytic cell; Synchronously processing the data to be forwarded based on the data forwarding rule to obtain maintenance information that can be recognized by the target terminal; The maintenance information is stored in a pre-built database and synchronously forwarded to the corresponding target terminal and the corresponding hot standby service node.

[0009] In a possible implementation, determining whether the electrolytic cell has an abnormal voltage condition based on the health trend includes: Comparing the health trend with a preset health trend at a corresponding time to obtain a trend comparison result; According to the trend comparison result, it is determined whether there is any abnormal voltage in the electrolytic cell.

[0010] In one possible implementation, the method further includes: After receiving the fault monitoring instruction, the fault priority and corresponding fault event of the electrolytic cell are obtained, wherein the fault priority is determined according to the severity of the fault of the electrolytic cell, including wear of components of the electrolytic cell or abnormal operation under overload; Prioritizing the fault events of the electrolytic cells with the best fault priority, and generating alarm information matching the fault events; Performing alarm pattern matching processing on the alarm information to obtain an alarm pattern that matches the alarm information; According to the alarm mode, the corresponding type of alarm device is controlled to sound an alarm.

[0011] In the second aspect, the present application provides an electrolytic cell voltage monitoring and alarm system, which adopts the following technical solution: An electrolytic cell voltage monitoring and alarm system, comprising: A data acquisition module, used to acquire voltage data to be detected of the electrolytic cell; A data diagnosis module, used for performing data diagnosis processing on the voltage data to be detected to obtain a health trend of the electrolytic cell; an abnormality determination module, used to determine whether the electrolytic cell has a voltage abnormality based on the health trend, and if so, to generate a fault monitoring instruction for performing fault detection on the electrolytic cell and adapted to the health trend; A fault location module is used to locate the fault point of the electrolytic cell according to the fault monitoring instruction.

[0012] In a possible implementation, when the data diagnosis module performs data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell, it is specifically used to: Acquire historical operation data of the electrolytic cell, wherein the historical operation data is voltage data changes, operation fault data, and environment data corresponding to different parts and positions of the electrolytic cell with different application durations during a historical period when different degrees of abnormality occur; Performing data training on the historical operation data, and constructing data models corresponding to electrolytic cells of different application durations, and monitoring the operation status of the electrolytic cells according to the data models; Inputting the voltage data to be detected into a data model of a corresponding type according to the application duration of the electrolytic cell, and generating a current operating state corresponding to the electrolytic cell; The remaining service life of the electrolytic cell is calculated based on the current operating state, the next operating state of the electrolytic cell is predicted based on the remaining service life, and the impact of each maintenance number on the remaining service life is calculated in combination with the maintenance number, energy consumption and component wear of the electrolytic cell to obtain the health trend of the electrolytic cell.

[0013] In another possible implementation, the system further includes: a data processing module, wherein: The data processing module is used to filter and amplify the voltage data to be detected to obtain the voltage data to be detected after filtering out abnormal band data, and the abnormal band data includes abnormal operation data that is too high or too low caused by overload operation of the electrolytic cell.

[0014] In another possible implementation, the system further includes: a rule acquisition module, a data transcoding module, a data synchronization module, and a storage and forwarding module, wherein: The rule acquisition module is used to acquire the data transcoding rules and data forwarding rules corresponding to the electrolytic cell; The data transcoding module is used to perform instruction data transcoding on the fault monitoring instruction based on the data transcoding rule to obtain the data to be forwarded of the electrolytic cell abnormality; The data synchronization module is used to synchronize the data to be forwarded based on the data forwarding rule to obtain maintenance information that can be recognized by the target terminal; The storage and forwarding module is used to store the maintenance information in a pre-built database, and synchronously forward it to the corresponding target terminal and the corresponding hot standby service node.

[0015] In another possible implementation, when determining whether the electrolytic cell has a voltage abnormality based on the health trend, the abnormality determination module is specifically configured to: Comparing the health trend with a preset health trend at a corresponding time to obtain a trend comparison result; According to the trend comparison result, it is determined whether there is any abnormal voltage in the electrolytic cell.

[0016] In another possible implementation, the system further includes: a fault acquisition module, a fault processing module, an alarm matching module and a device alarm module, wherein: The fault acquisition module is used to obtain the fault priority and corresponding fault event of the electrolytic cell after receiving the fault monitoring instruction, wherein the fault priority is determined according to the severity of the fault of the electrolytic cell, including abnormal operation of the electrolytic cell under wear of parts or overload; The fault processing module is used to give priority to the fault event of the electrolytic cell with the best fault priority and generate alarm information matching the fault event; The fault matching module is used to perform alarm pattern matching processing on the alarm information to obtain an alarm pattern matching the alarm information; The device alarm module is used to control the corresponding type of alarm device to alarm according to the alarm mode.

[0017] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: at least one processor; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and at least one application is configured to: execute an electrolytic cell voltage monitoring and alarm method as described in any one of the first aspects.

[0018] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute any of the electrolytic cell voltage monitoring and alarm methods of the first aspect.

[0019] In summary, the present application includes at least one of the following beneficial technical effects: By adopting the technical solution of the present application, the voltage data to be detected of the electrolytic cell is obtained, which is the basis for monitoring the health status of the electrolytic cell. Real-time and accurate voltage data can directly reflect the operating status of the electrolytic cell, providing a key basis for subsequent analysis. The acquired voltage data to be detected is subjected to data diagnosis processing, which not only removes noise and interference, but also analyzes the changing trend of the voltage data through an algorithm to obtain the health trend of the electrolytic cell. This process effectively improves the validity and reliability of the data, making the assessment of the state of the electrolytic cell more accurate. Based on the intelligent analysis of the health trend, it is possible to accurately determine whether there is an abnormal voltage in the electrolytic cell. Once an abnormality is found, the fault detection mechanism is immediately triggered, avoiding potential safety hazards and unnecessary downtime, and significantly improving the operating stability and safety of the electrolytic cell. For the detected voltage abnormality, a fault monitoring instruction that is compatible with the health trend of the electrolytic cell is generated. This personalized monitoring strategy can directly locate the fault point efficiently and accurately for specific fault characteristics, reducing the time and cost of troubleshooting, and improving the efficiency and accuracy of fault handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic flow chart of a method for monitoring and alarming electrolytic cell voltage provided in an embodiment of the present application.

[0021] Figure 2 A schematic diagram of the structure of an electrolytic cell voltage monitoring and alarm system provided in an embodiment of the present application.

[0022] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following is combined with Figure 1-3 This application is described in further detail.

[0024] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make modifications to the present embodiment without any creative contribution as needed, but as long as they are within the scope of the present application, they are protected by the patent law.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0027] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0028] The embodiment of the present application provides a method for monitoring and alarming the voltage of an electrolytic cell, which is executed by an electronic device, wherein the electronic device may be an independent physical electronic device, or an electronic device cluster or distributed system composed of multiple physical electronic devices, or a cloud electronic device providing cloud computing services. The embodiment of the present application is not limited here, such as Figure 1 As shown, the method includes: Step S10, obtaining voltage data to be detected of the electrolytic cell.

[0029] For the embodiments of the present application, the electrolyzer is a device used to perform an electrolysis process in the electrochemical industry. It converts electrical energy into chemical energy through the action of electric current and is generally used in the fields of metal smelting, water treatment, and chemical production. The electrolyzer contains an electrolyte solution and electrodes, and the chemical reaction is driven by an applied voltage. During the operation of the electrolyzer, the voltage value needs to be measured or recorded. These voltage data are of great significance for evaluating the working state of the electrolyzer, optimizing the electrolysis process, and ensuring production safety. The voltage data to be detected may include operating voltage, current voltage, voltage difference between specific electrodes, etc.

[0030] In the embodiment of the present application, the voltage sensor is installed at the corresponding position of each component of the electrolytic cell, and then the voltage data to be detected of the electrolytic cell is obtained by electronically collecting the monitoring data of the voltage sensor.

[0031] Step S11, performing data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell.

[0032] Specifically, historical operation data of the electrolytic cell is obtained, and the historical operation data includes voltage data changes, operation fault data, and environmental data corresponding to different parts positions of the electrolytic cell with different application times within a historical period when different degrees of abnormalities occur. Data training is performed on the historical operation data, and a data model corresponding to the electrolytic cells with different application times is constructed. The operation status of the electrolytic cell is monitored according to the data model, and then the voltage data to be detected is input into the data model of the corresponding type according to the application time of the electrolytic cell to generate a current operation status corresponding to the electrolytic cell, and the remaining service life of the electrolytic cell is calculated according to the current operation status. The next operation status of the electrolytic cell is predicted according to the remaining service life, and the influence of each maintenance number on the remaining service life is calculated in combination with the maintenance number, energy consumption, and component wear of the electrolytic cell to obtain the health trend of the electrolytic cell.

[0033] Step S12: determine whether there is any abnormal voltage in the electrolytic cell based on the health trend. If so, generate a fault monitoring instruction for fault detection of the electrolytic cell that is compatible with the health trend.

[0034] Specifically, the health trend is compared with the preset health trend at the corresponding time to obtain the trend comparison result, and then the electrolytic cell is judged whether there is a voltage abnormality according to the trend comparison result. In the embodiment of the present application, the preset health trend is the range of health trend variation shown when abnormalities occur in the corresponding positions of different components of the electrolytic cell according to different application degrees. When the health trend meets the preset health trend, it means that the current electrolytic cell has an abnormality. When the health trend does not meet the preset health trend, it means that the current electrolytic cell does not have an abnormality.

[0035] Step S13: locating the fault point of the electrolytic cell according to the fault monitoring instruction.

[0036] In an embodiment of the present application, when the electrolyzer is monitored and alarmed for voltage anomaly, the voltage data to be detected of the electrolyzer is obtained, which is the basis for monitoring the health status of the electrolyzer. Real-time and accurate voltage data can directly reflect the operating status of the electrolyzer, providing a key basis for subsequent analysis. The acquired voltage data to be detected is subjected to data diagnosis processing, which not only removes noise and interference, but also analyzes the changing trend of the voltage data through an algorithm to obtain the health trend of the electrolyzer. This process effectively improves the validity and reliability of the data, making the assessment of the state of the electrolyzer more accurate. Based on the intelligent analysis of the health trend, it is possible to accurately determine whether there is a voltage anomaly in the electrolyzer. Once an abnormality is found, the fault detection mechanism is immediately triggered, avoiding potential safety hazards and unnecessary downtime, and significantly improving the operating stability and safety of the electrolyzer. For the detected voltage anomaly, a fault monitoring instruction that is compatible with the health trend of the electrolyzer is generated. This personalized monitoring strategy can directly locate the fault point efficiently and accurately for specific fault characteristics, reducing the time and cost of troubleshooting, and improving the efficiency and accuracy of fault handling.

[0037] A possible implementation method of the embodiment of the present application is to perform data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell, which also includes: filtering and amplifying the voltage data to be detected to obtain the voltage data to be detected after filtering out abnormal band data, and the abnormal band data includes abnormal operation data that is too high or too low due to overload operation of the electrolytic cell.

[0038] Specifically, filtering and amplification processing is a signal processing technology used to remove noise and unnecessary frequency components from the original signal and enhance the amplitude of the useful signal for subsequent analysis. Abnormal band data indicates abnormal fluctuations in voltage values ​​caused by overload operation, equipment failure or improper operation during the operation of the electrolytic cell. These abnormalities may appear as excessively high or low voltage values, which are detrimental to the safe operation of the electrolytic cell and product quality. Filtering out abnormal band data means removing these abnormal voltage values ​​from the voltage data to be detected through filtering processing to ensure the accuracy and reliability of the data for subsequent analysis.

[0039] Specifically, a digital filter is used to filter the original voltage signal, and high-frequency noise and low-frequency interference are removed by setting a suitable cutoff frequency and filter type (such as FIR filter or IIR filter). Then, a digital signal processor (DSP) or microcontroller (MCU) is used to digitally amplify the filtered signal, and the amplitude of the signal is adjusted according to the preset amplification factor. Finally, an algorithm is written to scan the amplified signal, identify and remove abnormal voltage values ​​that exceed the preset threshold, and obtain clean voltage data to be detected.

[0040] In addition, a solution combining analog filters and operational amplifiers can also be used. First, high-frequency noise in the original voltage signal is removed by an analog low-pass or band-pass filter. Then, the filtered signal is analogically amplified using an operational amplifier, and the amplification factor is adjusted according to actual needs. At the output end of the amplified signal, a comparator circuit is connected to compare the signal with a preset threshold. When the signal exceeds the threshold, the abnormal data is truncated or replaced with a reasonable value through a logic control circuit, and finally the voltage data to be detected is output after filtering out the abnormal band data.

[0041] A possible implementation method of the embodiment of the present application is to locate the fault point of the electrolytic cell according to the fault monitoring instruction, and then also include: obtaining the data transcoding rule and the data forwarding rule corresponding to the electrolytic cell, transcoding the fault monitoring instruction based on the data transcoding rule, obtaining the abnormal data to be forwarded of the electrolytic cell, synchronously processing the data to be forwarded based on the data forwarding rule, obtaining maintenance information that can be recognized by the target terminal, storing the maintenance information in a pre-built database, and synchronously forwarding it to the corresponding target terminal and the corresponding hot standby service node.

[0042] Specifically, the data transcoding rules and data forwarding rules of the electrolytic cell are obtained by interface calling or file reading. Then, the fault monitoring instructions are transcoded using a coding library (such as Java's coding library) or a custom coding function to ensure the correctness of the data format. Next, according to the data forwarding rules, the data to be forwarded is synchronized to the target terminal and the hot standby service node using message queues or direct network communication. During the synchronization process, a transaction processing mechanism can be used to ensure data consistency and integrity. Finally, the maintenance information is stored in the database, and the database index is updated to improve query efficiency.

[0043] A possible implementation method of the embodiment of the present application further includes: after receiving a fault monitoring instruction, obtaining the fault priority and corresponding fault event of the electrolytic cell, wherein the fault priority is determined according to the severity of the fault of the electrolytic cell, including abnormal operation under wear of components of the electrolytic cell or overload state, giving priority to the fault events of the electrolytic cell with the best fault priority, generating alarm information matching the fault event, performing alarm pattern matching processing on the alarm information, obtaining an alarm pattern matching the alarm information, and controlling the corresponding type of alarm device to sound an alarm according to the alarm pattern.

[0044] Specifically, the fault monitoring data and preset fault judgment rules of the electrolytic cell are obtained through interface calls or database queries. Then, the monitoring data is analyzed according to the fault judgment rules to determine the fault priority of the electrolytic cell and the corresponding fault event. Then, the system selects the fault event with the highest priority for priority processing according to the sorting of fault priorities. During the processing, the system generates corresponding alarm information based on the detailed information of the fault event and stores it in the alarm information database. Subsequently, the system starts the alarm pattern matching algorithm, parses and matches the alarm information, and finds the most suitable alarm mode. Finally, according to the matched alarm mode, the system controls the corresponding alarm equipment (such as sound and light alarm, SMS sending module, etc.) to perform alarm operation, and transmits the alarm information to relevant personnel or systems through the network or physical connection.

[0045] The following is an introduction to an electrolytic cell voltage monitoring and alarm system provided in an embodiment of the present application. The electrolytic cell voltage monitoring and alarm system described below and the electrolytic cell voltage monitoring and alarm method described above can be referred to each other. Please refer to Figure 2 , Figure 2 : is a schematic diagram of the structure of an electrolytic cell voltage monitoring and alarm system 20 provided in an embodiment of the present application, comprising: A data acquisition module 21 is used to acquire voltage data to be detected of the electrolytic cell; A data diagnosis module 22, used for performing data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell; The abnormality determination module 23 is used to determine whether there is an abnormal voltage condition in the electrolytic cell based on the health trend, and if so, to generate a fault monitoring instruction for fault detection of the electrolytic cell and adapted to the health trend; The fault location module 24 is used to locate the fault point of the electrolytic cell according to the fault monitoring instruction.

[0046] In a possible implementation of the embodiment of the present application, the data diagnosis module 22 performs data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell, specifically for: Obtaining historical operation data of the electrolytic cell, which includes voltage data changes, operation fault data, and environmental data corresponding to different parts and positions of the electrolytic cell with different application durations during a historical period when different degrees of abnormality occur; Conduct data training on historical operation data, build data models corresponding to electrolytic cells of different application durations, and monitor the operation status of the electrolytic cells based on the data models; Input the voltage data to be detected into a data model of the corresponding type according to the application time of the electrolytic cell, and generate a current operating state corresponding to the electrolytic cell; The remaining service life of the electrolytic cell is calculated based on the current operating status, and the next operating status of the electrolytic cell is predicted based on the remaining service life. The impact of each maintenance number on the remaining service life is calculated based on the maintenance number, energy consumption and component wear of the electrolytic cell, and the health trend of the electrolytic cell is obtained.

[0047] In another possible implementation of the embodiment of the present application, the system 20 further includes: a data processing module, wherein: The data processing module is used to filter and amplify the voltage data to be detected to obtain the voltage data to be detected after filtering out the abnormal band data. The abnormal band data includes the abnormal operation data that is too high or too low caused by the overload operation of the electrolytic cell.

[0048] In another possible implementation of the embodiment of the present application, the system 20 further includes: a rule acquisition module, a data transcoding module, a data synchronization module and a storage and forwarding module, wherein: A rule acquisition module, used to acquire data transcoding rules and data forwarding rules corresponding to the electrolytic cell; A data transcoding module, used to perform instruction data transcoding on the fault monitoring instruction based on the data transcoding rules, and obtain the data to be forwarded of the electrolytic cell abnormality; A data synchronization module is used to synchronize the data to be forwarded based on the data forwarding rules to obtain maintenance information that can be recognized by the target terminal; The storage and forwarding module is used to store the maintenance information in a pre-built database and synchronously forward it to the corresponding target terminal and the corresponding hot standby service node.

[0049] In another possible implementation of the embodiment of the present application, when the abnormality determination module 23 determines whether there is a voltage abnormality in the electrolytic cell based on the health trend, it is specifically used to: Compare the health trend with the preset health trend at the corresponding time to obtain a trend comparison result; Based on the trend comparison results, determine whether there is any abnormal voltage in the electrolytic cell.

[0050] In another possible implementation of the embodiment of the present application, the system 20 further includes: a fault acquisition module, a fault processing module, an alarm matching module and a device alarm module, wherein: A fault acquisition module is used to obtain the fault priority and corresponding fault event of the electrolytic cell after receiving the fault monitoring instruction, wherein the fault priority is determined according to the severity of the fault of the electrolytic cell, including abnormal operation of the electrolytic cell under wear of parts or overload state; A fault processing module is used to give priority to the fault events of the electrolytic cells with the best fault priority and generate alarm information matching the fault events; A fault matching module is used to perform alarm pattern matching processing on the alarm information to obtain an alarm pattern that matches the alarm information; The device alarm module is used to control the corresponding type of alarm device to alarm according to the alarm mode.

[0051] The present application embodiment provides an electronic device, such as Figure 3 As shown, Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0052] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of the embodiments of the present application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0053] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0054] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0055] The memory 303 is used to store application code for executing the solution of the embodiment of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the above method embodiment.

[0056] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0057] A computer-readable storage medium provided in an embodiment of the present application is introduced below. The computer-readable storage medium described below and the method described above can be referenced to each other.

[0058] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above electrolytic cell voltage monitoring and alarm method are implemented.

[0059] Since the embodiments of the computer-readable storage medium part and the embodiments of the method part correspond to each other, the embodiments of the computer-readable storage medium part refer to the description of the embodiments of the method part.

[0060] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0061] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for monitoring and alarming the voltage of an electrolytic cell, characterized in that: include: Obtaining voltage data to be detected of the electrolytic cell; Performing data diagnosis processing on the voltage data to be detected to obtain a health trend of the electrolytic cell; determining whether the electrolytic cell has a voltage anomaly based on the health trend, and if so, generating a fault monitoring instruction for performing fault detection on the electrolytic cell that is compatible with the health trend; The fault point of the electrolytic cell is located according to the fault monitoring instruction.

2. The electrolytic cell voltage monitoring and alarm method according to claim 1, characterized in that: The performing data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell includes: Acquiring historical operating data of the electrolytic cell, wherein the historical operating data includes voltage data changes, operating fault data, and environmental data corresponding to abnormalities of different degrees at different locations of components of the electrolytic cell with different operating durations within a historical period; Performing data training on the historical operation data and constructing data models corresponding to electrolytic cells of different application durations, and monitoring the operating status of the electrolytic cells according to the data models; Inputting the voltage data to be detected into a data model of a corresponding type according to the application duration of the electrolytic cell to generate a current operating state corresponding to the electrolytic cell; The remaining service life of the electrolytic cell is calculated based on the current operating state, the next operating state of the electrolytic cell is predicted based on the remaining service life, and the impact of each maintenance number on the remaining service life is calculated in combination with the maintenance number, energy consumption and component wear of the electrolytic cell to obtain the health trend of the electrolytic cell.

3. The electrolytic cell voltage monitoring and alarm method according to claim 1, characterized in that: The performing of data diagnostic processing on the voltage data to be detected to obtain a health trend of the electrolytic cell may also include: The voltage data to be detected is filtered and amplified to obtain the voltage data to be detected after filtering out abnormal band data, wherein the abnormal band data includes abnormal operation data that is too high or too low caused by overload operation of the electrolytic cell.

4. The electrolytic cell voltage monitoring and alarm method according to claim 1, characterized in that: The method further comprises locating the fault point of the electrolytic cell according to the fault monitoring instruction, and then: Obtaining data transcoding rules and data forwarding rules corresponding to the electrolytic cell; Performing instruction data transcoding on the fault monitoring instruction based on the data transcoding rule to obtain the data to be forwarded indicating the electrolytic cell abnormality; Synchronously processing the data to be forwarded based on the data forwarding rule to obtain maintenance information that can be recognized by the target terminal; The maintenance information is stored in a pre-built database and synchronously forwarded to the corresponding target terminal and the corresponding hot standby service node.

5. The electrolytic cell voltage monitoring and alarm method according to claim 1, characterized in that: The determining whether the electrolytic cell has a voltage abnormality based on the health trend includes: Comparing the health trend with a preset health trend at a corresponding time to obtain a trend comparison result; According to the trend comparison result, it is determined whether there is any voltage abnormality in the electrolytic cell.

6. The electrolytic cell voltage monitoring and alarm method according to claim 1, characterized in that: The method further comprises: Upon receiving the fault monitoring instruction, obtaining the fault priority and corresponding fault event of the electrolytic cell, wherein the fault priority is determined based on the severity of the fault of the electrolytic cell, including wear of components of the electrolytic cell or abnormal operation under overload; Prioritizing the fault events of the electrolytic cells with the highest fault priority, and generating alarm information matching the fault events; Performing alarm pattern matching processing on the alarm information to obtain an alarm pattern that matches the alarm information; According to the alarm mode, the corresponding type of alarm device is controlled to sound an alarm.

7. An electrolytic cell voltage monitoring and alarm system, characterized in that: include: A data acquisition module is used to obtain the voltage data to be detected of the electrolytic cell; a data diagnosis module, configured to perform data diagnosis processing on the voltage data to be detected to obtain a health trend of the electrolytic cell; an abnormality determination module, configured to determine whether a voltage abnormality exists in the electrolytic cell based on the health trend, and if so, to generate a fault monitoring instruction for performing fault detection on the electrolytic cell that is compatible with the health trend; A fault location module is used to locate the fault point of the electrolytic cell according to the fault monitoring instruction.

8. The electrolytic cell voltage monitoring and alarm system according to claim 7, characterized in that: When the data diagnosis module performs data diagnosis processing on the voltage data to be detected to obtain the health trend of the electrolytic cell, it is specifically used to: Acquiring historical operating data of the electrolytic cell, wherein the historical operating data includes voltage data changes, operating fault data, and environmental data corresponding to abnormalities of different degrees at different locations of components of the electrolytic cell with different operating durations within a historical period; Performing data training on the historical operation data and constructing data models corresponding to electrolytic cells of different application durations, and monitoring the operating status of the electrolytic cells according to the data models; Inputting the voltage data to be detected into a data model of a corresponding type according to the application duration of the electrolytic cell to generate a current operating state corresponding to the electrolytic cell; The remaining service life of the electrolytic cell is calculated based on the current operating state, the next operating state of the electrolytic cell is predicted based on the remaining service life, and the impact of each maintenance number on the remaining service life is calculated in combination with the maintenance number, energy consumption and component wear of the electrolytic cell to obtain the health trend of the electrolytic cell.

9. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute an electrolytic cell voltage monitoring and alarm method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that include: The device stores a computer program that can be loaded by a processor and executes an electrolytic cell voltage monitoring and alarm method as described in any one of claims 1 to 7.

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