Aluminum processing smelting production temperature measurement processing method, device and equipment

Abstract

The embodiment of the invention provides an aluminum processing smelting production temperature measurement processing method, device and equipment, and belongs to the technical field of aluminum processing. The method comprises the following steps that each smelting furnace executes the following operations: collecting and storing molten aluminum temperature measurement data in real time; based on a first preset duration, dividing the stored data into batches; performing the following operations on each batch of data: selecting effective temperature measurement data from the batch of molten aluminum temperature measurement data, and respectively recording the temperature measurement records of the effective temperature measurement data; and displaying the temperature measurement data and the temperature measurement records of the batch of molten aluminum. The method is used for avoiding various problems caused by manually recording temperature measurement data.

Description

Technical Field

[0001] This invention relates to the field of aluminum processing technology, and more specifically to a method, apparatus and equipment for temperature measurement in aluminum processing and smelting production. Background Technology

[0002] In the aluminum foil processing industry, casting and rolling refers to the process of processing raw materials such as aluminum ingots through smelting, casting, and rolling to form semi-finished aluminum coils for subsequent rolling. In the smelting process, the raw aluminum ingots are melted into molten aluminum by heating, followed by operations such as feeding, stirring, and refining to obtain alloyed aluminum that meets product requirements. These feeding, stirring, and refining operations are performed more than once in actual production, and each operation has corresponding temperature requirements for different alloys. These operations can only be carried out when the temperature of the molten aluminum in the smelting furnace reaches the required level; otherwise, the quality of the final product will be significantly affected.

[0003] Currently, industrial production automation systems are quite mature. The widespread application of PLC programmable logic controllers, combined with high-performance gateway devices, enables real-time acquisition of aluminum molten metal temperature data from various smelting furnaces within the factory area. This acquired temperature data is then displayed on a large monitoring screen for reference and recording. However, existing monitoring and recording methods employ a semi-automated approach, combining computer system data acquisition with manual recording.

[0004] For computer system data acquisition, a complete industrial production automation system is adopted, utilizing a large number of PLCs and sensors installed on key parts of the production equipment to collect real-time aluminum molten temperature data from each smelting furnace. At the same time, an industrial internet hardware and software system is used to aggregate the data collected from each device and PLC into the computer system, and then, according to the production business logic, the temperature data is displayed in real-time on a large monitoring screen.

[0005] For manual recording, when the smelting furnace production proceeds through certain specific stages, it is necessary to measure the temperature of the molten aluminum inside the furnace to ensure that the temperature meets the process standard requirements, thereby reducing the occurrence of production quality problems. During temperature measurement, production personnel use a temperature measuring tube inserted into the furnace door to measure the temperature. After the temperature stabilizes and reaches the process standard, the temperature and measurement time are recorded, and subsequent production operations are then carried out.

[0006] However, the above scheme has the following disadvantages: (1) Manual recording is relatively subjective, and it is difficult to record the temperature accurately. In addition, the recording of temperature measurement time is sometimes delayed, and the data is often only accurate to the minute. (2) It is difficult to realize post-event quality problem analysis. When a batch of products has quality problems, due to the subjectivity and accuracy problems brought about by manual recording, the temperature measurement records completed by humans are difficult to serve as reliable data basis for quality problem analysis. Summary of the Invention

[0007] The purpose of this invention is to provide a method, apparatus, and equipment for temperature measurement in aluminum processing and smelting production, so as to avoid various problems caused by manual recording of temperature measurement data.

[0008] To achieve the above objectives, in a first aspect, embodiments of the present invention provide a temperature measurement method for aluminum processing and smelting production. The method includes performing the following operations on each smelting furnace: real-time acquisition and storage of aluminum molten temperature measurement data; dividing the stored data into batches based on a first preset time period; performing the following operations on each batch of data: selecting valid temperature measurement data from the aluminum molten temperature measurement data of that batch and recording its temperature measurement record respectively; and displaying the aluminum molten temperature measurement data and the temperature measurement record of that batch.

[0009] Optionally, the method further includes determining whether the current smelting process is a process requiring temperature measurement before real-time acquisition of aluminum melt temperature data. If it is, the real-time acquisition is performed. The process requiring temperature measurement includes melting through, first feeding, first sampling, slag removal, second feeding, second sampling, third feeding, third sampling, fourth stirring start, fourth stirring end, fifth stirring start, fifth stirring end, sixth stirring start, sixth stirring end, furnace discharge start, furnace discharge end, first refining and / or furnace discharge refining.

[0010] Optionally, real-time acquisition and storage of molten aluminum temperature data includes: real-time acquisition of molten aluminum temperature data based on sensors installed at the molten aluminum temperature measurement points in the smelting furnace; and real-time access of the acquired data to a data platform and storage in the platform database based on Kafka middleware. In the platform database, a data table is configured for each smelting furnace to store the molten aluminum temperature data of that furnace, and the molten aluminum temperature data includes the molten aluminum temperature measurement results and their corresponding time points.

[0011] Optionally, selecting valid temperature measurement data from the batch of molten aluminum temperature measurement data includes: selecting molten aluminum temperature measurement results that are greater than the temperature threshold from the batch of molten aluminum temperature measurement data; calculating the continuous time interval length of the continuous molten aluminum temperature measurement result segments based on the time points corresponding to the selected molten aluminum temperature measurement results; and retaining molten aluminum temperature measurement result segments whose continuous time interval length is within the effective temperature measurement duration range as valid temperature measurement data for the current batch.

[0012] Optionally, the temperature measurement record includes the device number, start time, end time, measurement duration, maximum temperature, minimum temperature, and average temperature.

[0013] Optionally, the method further includes selecting valid temperature measurement data for a batch of data and then performing the following operations: determining the first termination time of the batch based on the first preset duration; finding the last valid temperature measurement data whose end time is before the first termination time; using the start time of the last valid temperature measurement data as the termination time of the batch and discarding all data after the start time; and using the start time as the start time of the next batch.

[0014] Optionally, displaying the temperature measurement data and temperature records of the molten aluminum in this batch includes: displaying the temperature measurement data of the molten aluminum through a line graph; and displaying the temperature records through a table.

[0015] Secondly, embodiments of the present invention provide a temperature measurement and processing device for aluminum processing and smelting production. The device includes: a data acquisition module for real-time acquisition and storage of aluminum molten metal temperature measurement data from a smelting furnace; a data division module for dividing the stored data into batches based on a first preset time period; and a processing module for performing the following operations on each batch of data: selecting valid temperature measurement data from the aluminum molten metal temperature measurement data of that batch and recording the temperature measurement records respectively; and displaying the aluminum molten metal temperature measurement data and the temperature measurement records of that batch.

[0016] Thirdly, embodiments of the present invention provide an apparatus for temperature measurement in aluminum processing and smelting production. The apparatus includes a memory and a processor, the processor being used to run a program, wherein the program, when run, is used to execute any of the methods described herein.

[0017] Fourthly, embodiments of the present invention provide a machine-readable storage medium storing instructions that cause a machine to perform any of the methods described herein.

[0018] Through the above technical solution, real-time temperature measurement data of molten aluminum from various smelting furnaces within the plant area can be uniformly collected and stored in the database during the production process. The stored data can be divided into batches based on a preset time interval, and valid temperature measurement data from each batch can be automatically selected, recorded, and displayed. The entire temperature measurement process for aluminum processing and smelting is automated, enabling efficient and accurate calculation of historical temperature measurement records for the smelting furnaces. This solves the problems of time delays, recording errors, and various subjective issues that may exist when manually monitoring and recording the temperature of molten aluminum in the smelting furnace during the aluminum processing and smelting process, thus improving the accuracy of historical temperature measurement records. In the event of quality disputes afterward, the automatically recorded data can provide a solid and reliable basis for production quality traceability and analysis, improving the efficiency of quality dispute handling.

[0019] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0020] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic flowchart of the aluminum processing and smelting production temperature measurement method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of effective temperature measurement data across batches provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the display interface provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the aluminum processing and smelting production temperature measurement device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the device provided in an embodiment of the present invention.

[0021] Explanation of reference numerals in the attached figures 101 Processor 102 Memory 103 bus 10 devices Detailed Implementation The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0022] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application all comply with relevant laws and regulations. In the embodiments of this application, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.

[0023] Figure 1 This is a schematic flowchart of the temperature measurement method for aluminum processing and smelting production provided in an embodiment of the present invention, as shown below. Figure 1 As shown, the method includes performing the following steps S1 to S3 on each smelting furnace.

[0024] Step S1: Collect and store the temperature measurement data of the molten aluminum in real time.

[0025] Step S2: Divide the stored data into batches based on the first preset duration.

[0026] Step S3: For each batch of data, perform the following operations: select valid temperature measurement data from the aluminum liquid temperature measurement data of that batch and record the temperature measurement records respectively; and display the aluminum liquid temperature measurement data and the temperature measurement records of that batch.

[0027] The aluminum processing and smelting production temperature measurement method proposed in this invention can collect and store real-time temperature data from various aluminum molten metal measurement points in the plant area during production. The stored data is then divided into batches based on a first preset time period. For example, if the first preset time period is set to four hours, then whenever four hours of data are collected, the data within those four hours is divided into a batch, and the operation corresponding to step S3 above is performed on that batch. Simultaneously, timing and data collection continue from the end time of that batch for the next batch. For each batch of data, valid temperature measurement data can be automatically selected, recorded, and displayed according to production operation specifications.

[0028] The aluminum processing and smelting production temperature measurement method proposed in this invention can process historical temperature measurement data of the smelting furnace in batches, and automatically select, record, and display the valid temperature measurement data of each batch. The entire aluminum processing and smelting production temperature measurement process is automated, which can efficiently and accurately calculate the historical temperature measurement records of the smelting furnace. This solves the problems of time delay, recording errors, and various subjective issues that may exist when manually monitoring and recording the temperature of molten aluminum in the smelting furnace during the aluminum processing and smelting process, thus improving the accuracy of historical temperature measurement records. In the event of quality disputes afterward, the automatically recorded data can provide a solid and reliable data basis for production quality traceability and analysis, improving the efficiency of quality dispute handling.

[0029] The smelting process for aluminum processing generally includes the following production steps: furnace loading start, furnace loading end, ignition, leveling, first stirring start, first stirring end, second stirring start, second stirring end, third stirring start, third stirring end, complete melting, first feeding, first sampling, slag removal, second feeding, second sampling, third feeding, third sampling, fourth stirring start, fourth stirring end, fifth stirring start, fifth stirring end, sixth stirring start, sixth stirring end, furnace tapping start, furnace tapping end, first refining and furnace tapping refining.

[0030] Of these steps, from the start of furnace loading to the end of the three stirring cycles, temperature measurement is not involved in production. Therefore, the processes requiring temperature measurement only include: melting through, first feeding, first sampling, slag removal, second feeding, second sampling, third feeding, third sampling, start of fourth stirring, end of fourth stirring, start of fifth stirring, end of fifth stirring, start of sixth stirring, end of sixth stirring, start of furnace unloading, end of furnace unloading, first refining, and / or furnace unloading refining. Therefore, before real-time acquisition of aluminum molten temperature data, it is first determined whether the current smelting process is a process requiring temperature measurement. If it is, then the real-time acquisition is performed.

[0031] Furthermore, the real-time acquisition and storage of aluminum liquid temperature measurement data includes: real-time acquisition of aluminum liquid temperature measurement data based on sensors installed at the aluminum liquid temperature measurement points in the smelting furnace; and real-time access of the acquired data to the data platform and storage in the platform database based on the Kafka middleware.

[0032] In the central database, a data table is configured for each smelting furnace to store the aluminum liquid temperature measurement data of the smelting furnace. The data in the table is stored in the form of "time-data", where the data is the aluminum liquid temperature measurement result and the time is the time point corresponding to the aluminum liquid temperature measurement result.

[0033] Furthermore, selecting valid temperature measurement data from the batch of aluminum liquid temperature measurement data includes: selecting aluminum liquid temperature measurement results that are greater than the temperature threshold from the batch of aluminum liquid temperature measurement data; calculating the continuous time interval length of the continuous aluminum liquid temperature measurement result segment based on the time point corresponding to the selected aluminum liquid temperature measurement result; and retaining aluminum liquid temperature measurement result segments whose continuous time interval length is within the effective temperature measurement duration range as valid temperature measurement data for the current batch.

[0034] Production operation specifications have corresponding requirements for the validity of temperature measurements in processes requiring temperature measurement. For example, the temperature of molten aluminum measured by the temperature sensor must remain constant for 10-15 seconds to be counted as a valid temperature measurement. Furthermore, the required constant temperature for a specific operation step varies depending on the alloy being produced, but it is always greater than 700℃. The production manual provides temperature thresholds and valid measurement duration ranges for various situations and processes. Therefore, valid temperature measurement data can be retained based on the temperature thresholds and valid measurement duration ranges given in the production manual. Specifically, a valid temperature measurement result is recorded when the temperature of the molten aluminum is continuously higher than the temperature threshold and the duration is within the valid measurement duration range; otherwise, it is recorded as an invalid temperature measurement. Based on this rule, the selection of valid temperature measurement data can be automatically completed.

[0035] According to the aforementioned rules for valid temperature measurement records, during the production process, firstly, for each piece of equipment requiring calculation, the temperature data of the molten aluminum collected per second over the previous four hours are acquired, and all continuous time intervals where the temperature remains constant above 700℃ are calculated. Next, the duration of each of these continuous time intervals is calculated, and the duration is evaluated, retaining valid temperature measurement records. For each valid temperature measurement data point, its corresponding equipment number, start time, end time, measurement duration, maximum temperature, minimum temperature, and average temperature are stored as a temperature measurement record in the temperature measurement result table.

[0036] It is understood that the method proposed in this invention adopts a batch processing mode. For each batch of data, the valid temperature measurement data within a first preset time period is calculated. In this case, there may be a valid temperature measurement interval that spans two time batches. In this case, this valid temperature measurement record will be split and calculated separately for the two batches, which may result in the two records having insufficient time after splitting and thus not being recorded as valid. Figure 2 This is a schematic diagram of effective temperature measurement data across batches provided in an embodiment of the present invention, as shown below. Figure 2 As shown, for the first batch, the start time is T0 and the end time is T1. In this case, if T1 is directly used as the start time of the next batch and T2 is used as the end time of the next batch, then the effective temperature measurement data starting at time T4 will span two calculation batches, causing the duration of the two segments of data to not meet the requirements of the effective temperature measurement duration range and be discarded.

[0037] To address the aforementioned issues, the method proposed in this invention further includes selecting valid temperature measurement data from a batch of data and then performing the following operations: determining the first termination time of the batch based on the first preset duration; finding the last valid temperature measurement data whose end time is before the first termination time; using the start time of the last valid temperature measurement data as the termination time of the batch and discarding all data after the start time; and using the start time as the start time of the next batch.

[0038] In simple terms, when calculating for each batch, the last valid temperature measurement data obtained from that batch is discarded, and the start time of that valid temperature measurement is recorded as the starting time for the next batch's calculation. Please refer to [reference needed]. Figure 2In the first batch, the last valid temperature measurement data started at time T3. Therefore, all data after T3 is discarded, and only the time period from T0 to T3 is retained as the calculation result for the first batch. Then, T3 is used as the start time for the second batch, and it should be noted that T2 is still used as the end time for the second batch. In the second batch, a segment of valid temperature measurement data starting at time T6 spans two calculation batches. The valid temperature measurement data starting at T5 is the last valid temperature measurement data in this batch. Therefore, all data after T5 is discarded, and only the time period from T3 to T5 is retained as the calculation result for the second batch. This process continues, with T5 used as the start time for the third batch. This method avoids incorrect calculations due to valid temperature measurement records spanning two time batches, effectively handling potential data gaps across batches during calculation.

[0039] Figure 3 This is a schematic diagram of the display interface provided in an embodiment of the present invention, such as... Figure 3 As shown, the display of the temperature measurement data and temperature measurement records for this batch of molten aluminum includes: displaying the temperature measurement data of molten aluminum through a line graph; and displaying the temperature measurement records through a table.

[0040] The display interface also allows users to select specific devices and times for display, such as... Figure 3 The equipment options and query time options are shown. The line graph displays the temperature trend of the molten aluminum in the melting furnace over time, and the table displays the temperature measurement records for the corresponding time period, including the serial number of the valid temperature measurement record, start time, end time, measurement duration, highest temperature, average temperature, lowest temperature, and measurement status.

[0041] The temperature measurement method for aluminum processing and smelting production proposed in this invention can realize the calculation of historical valid temperature measurement records of smelting furnaces in the aluminum processing plant area by batch, and effectively avoid the problem of calculation errors of temperature measurement records across batches.

[0042] Figure 4 This is a schematic diagram of the temperature measurement and treatment device for aluminum processing and smelting production provided in an embodiment of the present invention, as shown below. Figure 4 As shown, the device includes the following modules.

[0043] The data acquisition module is used to collect and store the temperature data of the molten aluminum in the smelting furnace in real time.

[0044] The partitioning module is used to partition the stored data into batches based on a first preset time duration.

[0045] The processing module is used to perform the following operations on each batch of data: select valid temperature measurement data from the aluminum liquid temperature measurement data of that batch and record the temperature measurement records respectively; and display the aluminum liquid temperature measurement data and the temperature measurement records of that batch.

[0046] This invention also provides a device for temperature measurement in aluminum processing and smelting production, for example, such as... Figure 5 As shown, the device includes a memory and a processor, the processor being used to run a program, wherein the program, when run, is used to execute the aforementioned temperature measurement process for aluminum processing and smelting production.

[0047] The processor contains a kernel, which retrieves the corresponding program unit from memory. One or more kernels can be configured, and temperature measurement in aluminum processing and smelting production can be achieved by adjusting kernel parameters.

[0048] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0049] This invention also provides a machine-readable storage medium storing instructions for causing a machine to perform the aluminum processing and smelting production temperature measurement method.

[0050] This application also provides a computer program product that, when executed on a data processing device, is adapted to execute a program that initializes the steps of the aluminum processing and smelting production temperature measurement method.

[0051] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0052] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0053] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0054] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0055] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0056] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0057] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0058] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0059] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for temperature measurement in aluminum processing and smelting production, characterized in that, The method includes performing the following operations for each smelting furnace: Real-time acquisition and storage of aluminum liquid temperature measurement data; The stored data is divided into batches based on a first preset time period; For each batch of data, perform the following operations: Select valid temperature measurement data from the aluminum molten metal temperature measurement data of this batch and record the temperature measurement records respectively; and The temperature measurement data and records of the molten aluminum for this batch are displayed.

2. The method according to claim 1, characterized in that, The method further includes determining whether the current smelting process requires temperature measurement before real-time acquisition of aluminum molten temperature data; if so, then performing the real-time acquisition. The temperature measurement process includes melting, first feeding, first sampling, slag removal, second feeding, second sampling, third feeding, third sampling, fourth stirring start, fourth stirring end, fifth stirring start, fifth stirring end, sixth stirring start, sixth stirring end, furnace discharge start, furnace discharge end, first refining and / or furnace discharge refining.

3. The method according to claim 1, characterized in that, Real-time acquisition and storage of aluminum molten temperature data includes: Based on sensors installed at the aluminum molten metal temperature measurement points in the smelting furnace, the aluminum molten metal temperature data is collected in real time; and Based on the Kafka middleware, the collected data is connected to the data platform in real time and stored in the platform's database. In the central database, a data table is configured for each smelting furnace to store the aluminum liquid temperature measurement data of the smelting furnace. The aluminum liquid temperature measurement data includes the aluminum liquid temperature measurement result and its corresponding time point.

4. The method according to claim 3, characterized in that, Valid temperature data selected from this batch of molten aluminum includes: From the aluminum liquid temperature measurement data of this batch, select aluminum liquid temperature measurement results that are higher than the temperature threshold; Based on the selected time points corresponding to the aluminum liquid temperature measurement results, calculate the length of the continuous time interval for consecutive aluminum liquid temperature measurement result segments; and The aluminum liquid temperature measurement results segment whose continuous time interval length is within the effective temperature measurement duration range is retained as the effective temperature measurement data of the current batch.

5. The method according to claim 1, characterized in that, The temperature measurement record includes the device number, start time, end time, measurement duration, maximum temperature, minimum temperature, and average temperature.

6. The method according to claim 5, characterized in that, The method further includes selecting valid temperature measurement data from a batch of data and then performing the following operations: Based on the first preset duration, determine the first termination time of the batch; Find the last valid temperature measurement data whose end time is before the first termination time; The start time of the last valid temperature measurement is taken as the end time of the batch, and all data after that start time are discarded; and Use this start time as the start time for the next batch.

7. The method according to claim 1, characterized in that, The display of the temperature measurement data and records for this batch of molten aluminum includes: The aluminum melt temperature measurement data is displayed using a line graph; and The temperature measurement records are displayed in a table.

8. A temperature measurement and processing device for aluminum processing and smelting production, characterized in that, The device includes: The data acquisition module is used to collect and store the temperature data of the molten aluminum in the smelting furnace in real time. A partitioning module is used to partition the stored data into batches based on a first preset time duration; The processing module performs the following operations on each batch of data: Select valid temperature measurement data from the aluminum molten metal temperature measurement data of this batch and record the temperature measurement records respectively; and The temperature measurement data and records of the molten aluminum for this batch are displayed.

9. A device for temperature measurement in aluminum processing and smelting production, the device comprising a memory and a processor, characterized in that, The processor is used to run a program, wherein the program is run to execute the method as described in any one of claims 1-7.

10. A machine-readable storage medium having instructions stored thereon for causing a machine to perform the method as described in any one of claims 1-7.

Images