Temperature control system of aluminum melting furnace

Abstract

The invention discloses a temperature control system of an aluminum melting furnace, relates to the technical field of temperature control of the aluminum melting furnace, and solves the technical problems that in the prior art, the temperature required by all stages of melting is not analyzed, only the detected temperature is compared with a set value, accurate regulation and control of the temperature are difficult to realize, and the quality of molten aluminum cannot be guaranteed. A data acquisition module acquires temperature data of four walls of an aluminum melting furnace; the data processing module analyzes the actual temperature of the aluminum melting furnace and the temperature threshold range of the aluminum melting furnace in each stage; based on the temperature threshold range of the aluminum melting furnace in each stage, the temperature of the aluminum melting furnace is regulated and controlled in real time in the smelting process, so that the quality of smelted aluminum is improved, and energy is saved; whether the aluminum melting furnace has potential faults or not is analyzed; if yes, the fault level is analyzed, and matched maintenance personnel are assigned for maintenance; if not, the aluminum melting furnace continues to work; and major faults can be prevented, and the risk of interruption in the smelting process is reduced.

Description

Technical Field

[0001] The invention belongs to the field of temperature control of aluminum melting furnaces, in particular to a temperature control system of an aluminum melting furnace. Background Art

[0002] An aluminum melting furnace is an industrial thermal equipment specially designed for melting and refining aluminum and aluminum alloys. It undertakes the important task of converting solid aluminum ingots or scrap aluminum into liquid aluminum. The temperature of the aluminum melting furnace during the smelting process has a great influence on the quality of subsequent aluminum processing products.

[0003] The Chinese patent application number CN114264153B discloses a method, system and terminal for temperature monitoring and optimized operation control of aluminum melting furnaces. Contact and non-contact temperature measurement are used to obtain the internal temperature of aluminum liquid and the surface temperature of aluminum liquid in the molten pool under the same smelting process conditions, respectively, to form the two temperature databases; then, the standard temperature of aluminum liquid and the surface temperature of aluminum liquid in the entire cycle are constructed in combination with process operation parameters, big data and neural network algorithms. The actual temperature of aluminum liquid is calculated through this temperature model and the measured value of the surface temperature of aluminum liquid in non-contact temperature measurement. Based on the actual temperature of aluminum liquid and the furnace temperature, a dual-temperature heating combustion optimization control method and system for aluminum melting furnaces are proposed. According to the difference between the furnace temperature and the actual temperature of aluminum liquid and the set value, instructions are issued to achieve fuel flow and burner heat load adjustment.

[0004] The existing technology monitors the temperature during the smelting process and compares it with the set value, and adjusts the temperature of the aluminum melting furnace based on the comparison result to prevent over-temperature or under-temperature. However, the existing technology does not analyze the temperature required for each stage of smelting, but only compares the detected temperature with the set value, which makes it difficult to achieve precise temperature control and cannot guarantee the quality of liquid aluminum. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a temperature control system for an aluminum melting furnace, which is used to solve the technical problem that the prior art does not analyze the temperature required for each smelting stage, but only compares the detected temperature with the set value, making it difficult to achieve precise temperature control and unable to ensure the quality of liquid aluminum.

[0006] To achieve the above-mentioned object, the first aspect of the present invention provides a temperature control system for an aluminum melting furnace, comprising a data processing module, and a data acquisition module and an execution module connected thereto;

[0007] Data acquisition module: used to collect the temperature of the aluminum melting furnace and send the temperature to the data processing module; wherein the temperature of the aluminum melting furnace includes the temperature around the furnace wall;

[0008] Data processing module: used to analyze the actual temperature of the aluminum melting furnace and the temperature threshold range of the aluminum melting furnace at each stage; and,

[0009] Analyze whether the actual temperature is within the corresponding temperature threshold range; if yes, the temperature is normal and no processing is performed; if no, the temperature is abnormal and an abnormal signal is sent to the execution module; wherein the abnormal signal includes an over-temperature signal and an under-temperature signal;

[0010] Execution module: used to adjust the temperature of the aluminum melting furnace to within the corresponding temperature threshold range, and analyze whether there is a potential fault in the aluminum melting furnace; if not, the aluminum melting furnace works normally; if yes, analyze the potential fault level of the aluminum melting furnace;

[0011] Based on the potential fault level of the aluminum melting furnace, maintenance personnel with matching skills are selected, and the effective working time ratio of maintenance personnel with matching skills is analyzed and compared with the ratio threshold, so as to obtain an adapted maintenance team to repair the aluminum melting furnace with potential faults.

[0012] Preferably, the analysis of the actual temperature of the aluminum melting furnace includes:

[0013] The collected temperatures are averaged to obtain the actual temperature of the aluminum melting furnace; the temperatures around the furnace wall are collected by infrared thermometers of the same model.

[0014] Preferably, the analysis of the temperature threshold range of the aluminum melting furnace at each stage includes:

[0015] Extract several groups of temperature data of aluminum melting furnace from historical data, and each group is a melting cycle; divide the melting cycle into several small melting cycles; calculate the temperature mean of the small melting cycle;

[0016] Based on the temperature mean of the smelting small cycle, the temperature data of the smelting small cycle are divided into two groups, which are marked as temperature data group 1 and temperature data group 2 respectively; wherein, temperature data group 1 is data greater than the temperature mean, and temperature data group 2 is data less than or equal to the temperature mean;

[0017] The two groups of temperature data in the same smelting small cycle are respectively processed by averaging to obtain the temperature threshold range of smelting in each stage; among which, the mean of temperature data group one is the maximum value in the temperature threshold range, and the mean of temperature data group two is the minimum value in the temperature threshold range.

[0018] It should be noted that the smelting cycle is the time it takes to smelt aluminum; the temperature threshold range of the aluminum melting furnace is divided according to the purity and volume of aluminum. The melting point of aluminum is related to its own purity and volume; the higher the purity of aluminum, the shorter its smelting time; the larger the volume, the longer the smelting time; therefore, the temperature threshold range of the aluminum melting furnace is classified according to the purity and volume of aluminum; the temperature threshold range required for the smelting process of aluminum of different purities and volumes is obtained, that is, the temperature threshold range of the aluminum melting furnace.

[0019] The present invention can perform a more refined analysis of the temperature changes in the smelting process by evenly dividing the smelting cycle into several smelting small cycles; this helps to more accurately understand the temperature fluctuations and change patterns in the smelting process; by grouping and averaging the temperature data of each smelting small cycle, the temperature threshold range of smelting in each stage can be determined; this provides an important reference basis for temperature control in the smelting process, helps to optimize the smelting process, and improve product quality and energy efficiency.

[0020] Preferably, the smelting cycle is divided into a plurality of smelting small cycles, including:

[0021] The smelting cycle is evenly divided into a number of smelting small cycles, and the smelting small cycles are numbered in chronological order; among them, the smelting small cycles with the same number are the same smelting small cycles.

[0022] Preferably, the analyzing whether the actual temperature is within a corresponding temperature threshold range includes:

[0023] When the actual temperature is greater than the temperature threshold range, a high temperature signal is sent to the execution module;

[0024] When the actual temperature is lower than the temperature threshold range, a low temperature signal is sent to the execution module.

[0025] When the execution module receives a signal indicating that the temperature is too high, the heating of the aluminum melting furnace is stopped or the temperature is lowered; when the execution module receives a signal indicating that the temperature is too low, the aluminum melting furnace is continuously heated.

[0026] Preferably, the analyzing whether there is a potential fault in the aluminum melting furnace comprises:

[0027] If the temperature of the aluminum melting furnace is successfully adjusted within the temperature adjustment time threshold, the aluminum melting furnace works normally;

[0028] If the temperature of the aluminum melting furnace is not successfully adjusted within the temperature adjustment time threshold, there is a potential fault in the aluminum melting furnace; wherein the temperature adjustment time threshold is set by technical personnel in this field.

[0029] The present invention sets a temperature adjustment time threshold and analyzes the temperature adjustment of the aluminum melting furnace during this period of time, which helps to promptly discover and solve potential equipment problems and avoid more serious failures or accidents in the production process; reduce production interruptions caused by equipment failures, thereby improving production efficiency; and the temperature adjustment time threshold can be flexibly adjusted according to different aluminum melting furnace models, working environments and production needs to adapt to various complex production environments, thereby improving its practicality and applicability.

[0030] Preferably, the aluminum melting furnace has a potential fault, and analyzing the potential fault level of the aluminum melting furnace includes:

[0031] The temperature adjustment time of the aluminum melting furnace is counted and marked as T; the fault index GZ is calculated by the formula GZ=α×S+β×T / T0; where S is the historical maintenance times of the aluminum melting furnace, extracted from the historical maintenance records; α and β are correction coefficients, and the values ​​are (0, 1].

[0032] When the fault index GZ is greater than the fault index threshold, the potential fault level of the aluminum melting furnace is level one; when the fault index GZ is less than or equal to the fault index threshold, the potential fault level of the aluminum melting furnace is level two; wherein the potential fault level indicates the degree of fault of the aluminum melting furnace, and level one>level two.

[0033] The present invention combines the temperature adjustment time and the number of historical maintenance times to provide a comprehensive evaluation index, namely the fault index, which can more comprehensively reflect the working status and potential fault degree of the aluminum melting furnace; the potential fault degree is graded according to the size of the fault index; this helps to formulate targeted preventive maintenance plans, avoid or reduce the occurrence of sudden failures, and improve the reliability and service life of the equipment.

[0034] Preferably, the method of selecting maintenance personnel with matching skills based on the potential fault level of the aluminum melting furnace includes:

[0035] Experts evaluate the maintenance skills of maintenance personnel, including first-level skills and second-level skills, and correspond to potential fault levels; among them, first-level skills can repair first and second levels of fault levels; second-level skills can repair second level of fault level.

[0036] Preferably, the analysis skill matching maintenance personnel's effective working time ratio includes:

[0037] From the work record, the maintenance time of the maintenance personnel is extracted and marked as WX; the effective working time ratio YB of the maintenance personnel is calculated by the formula YB=δ×WX / ZS; wherein the maintenance time is the time the maintenance personnel has completed the maintenance work on that day; ZS is the daily on-the-job time of the maintenance personnel; δ is the correction coefficient, and its value is (0, 1].

[0038] The present invention divides the skills of maintenance personnel into primary and secondary levels through expert evaluation, which helps to accurately match maintenance tasks with the skill levels of maintenance personnel and ensure the quality and efficiency of maintenance work; and, based on the maintenance time and on-the-job time, analyzes the proportion of effective working time of maintenance personnel, which helps to accurately understand the working status of maintenance personnel and provide a basis for further optimizing personnel allocation and improving work efficiency.

[0039] Preferably, the adapted maintenance team is composed of maintenance personnel whose effective time ratio is less than a ratio threshold.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention extracts several groups of temperature data of aluminum melting furnaces from historical data, and divides each group of data into several uniform smelting small cycles, which is helpful for more detailed analysis of temperature changes and lays the foundation for subsequent analysis of the temperature threshold range of the aluminum melting furnace; and, analyzes the temperature threshold range within each smelting small cycle, and provides a fine and accurate variation range for the temperature of the smelting process, thereby avoiding smelting failure due to unsuitable temperature, ensuring smelting quality, and improving smelting efficiency;

[0042] 2. The data acquisition module of the present invention collects the temperature data of the four walls of the aluminum melting furnace, and sends it to the data processing module; the data processing module analyzes the actual temperature of the aluminum melting furnace and the temperature threshold range of the aluminum melting furnace at each stage; based on the temperature threshold range of the aluminum melting furnace at each stage, the temperature of the aluminum melting furnace is adjusted in real time during the smelting process, which is helpful to improve the quality of smelting aluminum and save energy; and, analyzes whether there is a potential fault in the aluminum melting furnace; if yes, analyzes the fault level, and sends matching maintenance personnel for maintenance; if not, the aluminum melting furnace continues to work; it is helpful to prevent the occurrence of major faults, reduce the risk of interruption of the smelting process, and dispatches matching maintenance personnel for maintenance according to the fault level, which improves the pertinence and efficiency of maintenance, helps to reduce maintenance time, and thus minimizes the time of production downtime. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 is a system block diagram of the present invention;

[0045] Figure 2 It is a flow chart of the temperature control method of the aluminum melting furnace of the present invention;

[0046] Figure 3 This is a flow chart of the maintenance personnel matching method of the present invention. DETAILED DESCRIPTION

[0047] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1-Figure 3 , the first aspect of the present invention provides an aluminum melting furnace temperature control system, including a data processing module, and a data acquisition module and an execution module connected thereto;

[0049] The data acquisition module is used to collect the temperature of the aluminum melting furnace and send the temperature to the data processing module; the temperature of the aluminum melting furnace includes the temperature around the furnace wall; the temperature around the furnace wall is collected by infrared thermometers of the same model.

[0050] It should be noted that the infrared thermometer should be aligned with the measuring position of the aluminum melting furnace, ensuring that the thermometer maintains an appropriate distance from the surface of the aluminum melting furnace, and adjusting the emissivity, distance coefficient and other parameters of the thermometer according to the actual situation of the aluminum melting furnace and the manual of the thermometer; emissivity is a key parameter, which reflects the ability of the surface of an object to emit infrared radiation; for aluminum melting furnaces, an emissivity of about 0.95 is usually used to ensure accurate measurement results.

[0051] The data processing module is used to analyze the actual temperature of the aluminum melting furnace at each stage; and analyze the temperature threshold range of the aluminum melting furnace at each stage;

[0052] The collected temperatures are averaged to obtain the actual temperature of the aluminum melting furnace;

[0053] Several groups of temperature data of aluminum melting furnaces are extracted from historical data, and each group is a smelting cycle; the smelting cycle is evenly divided into several smelting small cycles, and the smelting small cycles are numbered in chronological order; and the temperature mean of each smelting small cycle is calculated.

[0054] For example, assuming that the smelting cycle of aluminum of a certain purity and specification requires 4 hours, the smelting cycle is divided into certain time intervals; the time intervals can be set by those skilled in the art.

[0055] Based on the temperature mean of the smelting small cycle, the temperature data of the smelting small cycle are divided into two groups, which are marked as temperature data group 1 and temperature data group 2 respectively; wherein, temperature data group 1 is data greater than the temperature mean, and temperature data group 2 is data less than or equal to the temperature mean;

[0056] The two groups of temperature data for the same-numbered melting sub-cycles are respectively averaged to obtain the temperature threshold ranges for melting in each stage; among them, the average value of the first temperature data group is the maximum value within the temperature threshold range, and the average value of the second temperature data group is the minimum value within the temperature threshold range.

[0057] For example: Suppose the melting cycle of aluminum with a certain purity and specification requires 4h, and the melting cycle is divided at regular time intervals; the time interval can be set by those skilled in the art;

[0058] If the time interval is 30min, it is evenly divided into 8 melting sub-cycles; and in chronological order, the melting sub-cycles are numbered in sequence, such as: the first melting sub-cycle is marked as 0, the second melting sub-cycle is marked as 1, ……, and they are marked in sequence;

[0059] Calculate the average temperature of each melting sub-cycle, classify the data greater than the average temperature into one category, which is the first temperature data group; and the remaining data into one category, which is the second temperature data group;

[0060] The first temperature data group and the second temperature data group of the melting sub-cycle marked as 0 are respectively averaged to obtain two average values marked as A and B, that is, the temperature threshold range of the melting sub-cycle marked as 0 is [A, B]; the analysis method for the temperature threshold ranges of other melting sub-cycles is the same.

[0061] Analyze the temperature threshold ranges of the aluminum melting furnace in each stage; analyze whether the actual temperature is within the corresponding temperature threshold range; if so, the temperature is normal and no processing is required; if not, the temperature is abnormal, and an abnormal signal is sent to the execution module; among them, the abnormal signal includes a signal of too high temperature and a signal of too low temperature;

[0062] When the actual temperature is greater than the temperature threshold range, a signal of too high temperature is sent to the execution module;

[0063] When the actual temperature is lower than the temperature threshold range, a signal of too low temperature is sent to the execution module.

[0064] For example: Suppose the temperature threshold range of a certain purity and specification of aluminum in the melting sub-cycle marked as 0 is [A, B]; the temperature of the aluminum melting furnace detected in this melting sub-cycle is M; if M > B, the temperature is too high; if M < A, the temperature is too low; if M is between A and B, the temperature is normal.

[0065] Among them, when the execution module receives a signal of too high temperature, it stops heating the aluminum melting furnace or cools it down; when the execution module receives a signal of too low temperature, it continuously heats the aluminum melting furnace;

[0066] If the temperature of the aluminum melting furnace is successfully adjusted within the temperature adjustment duration threshold, the aluminum melting furnace operates normally;

[0067] If the temperature of the aluminum melting furnace is not successfully adjusted within the temperature adjustment time threshold, the aluminum melting furnace has a potential fault, and the potential fault level of the aluminum melting furnace is analyzed, including:

[0068] The temperature adjustment time of the aluminum melting furnace is counted and marked as T; the fault index GZ is calculated by the formula GZ=α×S+β×T / T0; where S is the historical maintenance times of the aluminum melting furnace, extracted from the historical maintenance records; α and β are correction coefficients, and the values ​​are (0, 1].

[0069] When the fault index GZ is greater than the fault index threshold, the potential fault level of the aluminum melting furnace is level one; when the fault index GZ is less than or equal to the fault index threshold, the potential fault level of the aluminum melting furnace is level two; wherein the potential fault level indicates the degree of fault of the aluminum melting furnace, and level one>level two.

[0070] The temperature adjustment time threshold is set by those skilled in the art.

[0071] The fault index in the present invention is used to evaluate the working state of the aluminum melting furnace; the working state of the aluminum melting furnace is closely related to the number of historical maintenance times, the temperature adjustment time and the temperature adjustment time threshold. If the number of historical maintenance times and the temperature adjustment time are both relatively high, it means that the working state of the aluminum melting furnace is poor, that is, the aluminum melting furnace has a fault and needs to be repaired.

[0072] For example, an aluminum melting furnace is melting aluminum. In a small melting cycle, the temperature of the aluminum melting furnace is not within the corresponding temperature threshold range, so the aluminum melting furnace is heated or cooled. Assuming that the temperature adjustment time threshold T0=2min, if the adjustment is successful within 2min, the temperature adjustment time T is counted, assuming T=30s; and from the historical maintenance records, the historical maintenance times S of the melting furnace are extracted, assuming S=4; α=0.3, β=0.5; then the fault index GZ=0.3×4+0.5×30 / (2×60)=1.45; the calculated fault index GZ is compared with the fault index threshold to obtain the potential fault level of the aluminum melting furnace.

[0073] Based on the potential fault level of the aluminum melting furnace, select maintenance personnel with matching skills, analyze the effective working time ratio of maintenance personnel with matching skills, and compare it with the ratio threshold, so as to obtain an adaptive maintenance team to repair the aluminum melting furnace with potential faults. The specific process is as follows:

[0074] Experts evaluate the maintenance skills of maintenance personnel, including primary skills and secondary skills, corresponding to the potential fault levels; wherein primary skills can repair the first and second fault levels; secondary skills can repair the second fault level; and,

[0075] From the work record, the maintenance time of the maintenance personnel is extracted and marked as WX; the effective working time ratio YB of the maintenance personnel is calculated by the formula YB=δ×WX / ZS; wherein the maintenance time is the time the maintenance personnel has completed the maintenance work on that day; ZS is the daily on-the-job time of the maintenance personnel; δ is the correction coefficient, and its value is (0, 1].

[0076] Among them, the adapted maintenance team is composed of maintenance personnel whose effective time ratio YB is less than the ratio threshold.

[0077] The effective working time ratio in the present invention is used to analyze the actual working time of the maintenance personnel in a day; the effective working time ratio is closely related to the maintenance time and the on-the-job time. If the maintenance time is short, it means that the maintenance personnel has completed a small amount of work, and the maintenance task can be reassigned to the maintenance personnel.

[0078] For example, in an aluminum smelting plant, maintenance personnel need to be on duty for ZS = 8h. When a certain aluminum smelting furnace has a potential fault, maintenance personnel with corresponding ability levels are selected. For example, if the potential fault level is level 2, maintenance personnel with level 1 and level 2 skills are maintenance personnel with matching skills.

[0079] From the work log, extract the time that the matching personnel have completed the maintenance; assuming that the maintenance time on that day is 3 hours, δ = 0.2, then the effective working time ratio YB = 0.2 × 3 / 8 = 0.075.

[0080] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0081] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A temperature control system for an aluminum melting furnace, characterized in that: It includes a data processing module, and a data acquisition module and an execution module connected thereto; Data acquisition module: used to collect the temperature of the aluminum melting furnace and send the temperature to the data processing module; wherein the temperature of the aluminum melting furnace includes the temperature around the furnace wall; Data processing module: used to analyze the actual temperature of the aluminum melting furnace and the temperature threshold range of the aluminum melting furnace at each stage; and, Analyze whether the actual temperature is within the corresponding temperature threshold range; if yes, the temperature is normal and no processing is performed; if no, the temperature is abnormal and an abnormal signal is sent to the execution module; wherein the abnormal signal includes an over-temperature signal and an under-temperature signal; Execution module: used to adjust the temperature of the aluminum melting furnace to within the corresponding temperature threshold range, and analyze whether there is a potential fault in the aluminum melting furnace; if not, the aluminum melting furnace works normally; if yes, analyze the potential fault level of the aluminum melting furnace; Based on the potential fault level of the aluminum melting furnace, maintenance personnel with matching skills are selected, and the proportion of effective working time of maintenance personnel with matching skills is analyzed and compared with the proportion threshold, so as to obtain an adapted maintenance team to repair the aluminum melting furnace with potential faults.

2. The aluminum melting furnace temperature control system according to claim 1, characterized in that: The analysis of the actual temperature of the aluminum melting furnace includes: The collected temperatures are averaged to obtain the actual temperature of the aluminum melting furnace; the temperatures around the furnace wall are collected by infrared thermometers of the same model.

3. The temperature control system of an aluminum melting furnace according to claim 1, characterized in that: The temperature threshold range of the aluminum melting furnace at each stage of the analysis includes: Extract several groups of temperature data of aluminum melting furnace from historical data, and each group is a melting cycle; divide the melting cycle into several small melting cycles; calculate the temperature mean of the small melting cycle; Based on the temperature mean of the smelting small cycle, the temperature data of the smelting small cycle are divided into two groups, which are marked as temperature data group 1 and temperature data group 2 respectively; wherein, temperature data group 1 is data greater than the temperature mean, and temperature data group 2 is data less than or equal to the temperature mean; The two groups of temperature data in the same smelting small cycle are respectively processed by averaging to obtain the temperature threshold range of smelting in each stage; among which, the mean of temperature data group one is the maximum value in the temperature threshold range, and the mean of temperature data group two is the minimum value in the temperature threshold range.

4. The temperature control system of an aluminum melting furnace according to claim 3, characterized in that: The smelting cycle is divided into a number of smelting small cycles, including: The smelting cycle is evenly divided into a number of smelting small cycles, and the smelting small cycles are numbered in chronological order; among them, the smelting small cycles with the same number are the same smelting small cycles.

5. The aluminum melting furnace temperature control system according to claim 1, characterized in that: The analyzing whether the actual temperature is within the corresponding temperature threshold range includes: When the actual temperature is greater than the temperature threshold range, a high temperature signal is sent to the execution module; When the actual temperature is lower than the temperature threshold range, a low temperature signal is sent to the execution module.

6. The temperature control system of an aluminum melting furnace according to claim 1, characterized in that: The analysis of whether there is a potential failure in the aluminum melting furnace includes: If the temperature of the aluminum melting furnace is successfully adjusted within the temperature adjustment time threshold, the aluminum melting furnace works normally; If the temperature of the aluminum melting furnace is not successfully adjusted within the temperature adjustment time threshold, there is a potential fault in the aluminum melting furnace; wherein the temperature adjustment time threshold is set by technical personnel in this field.

7. The aluminum melting furnace temperature control system according to claim 6, characterized in that: The aluminum melting furnace has potential faults. The potential fault levels of the aluminum melting furnace are analyzed, including: The temperature adjustment time of the aluminum melting furnace is counted and marked as T; the fault index GZ is calculated by the formula GZ = α × S + β × T / T0; where S is the historical maintenance times of the aluminum melting furnace, extracted from the historical maintenance records; α and β are correction coefficients, and the values ​​are (0, 1]; When the fault index GZ is greater than the fault index threshold, the potential fault level of the aluminum melting furnace is level one; when the fault index GZ is less than or equal to the fault index threshold, the potential fault level of the aluminum melting furnace is level two; wherein the potential fault level indicates the degree of fault of the aluminum melting furnace, and level one>level two.

8. The temperature control system of an aluminum melting furnace according to claim 1, characterized in that: Based on the potential failure level of the aluminum melting furnace, maintenance personnel with matching skills are selected, including: Experts evaluate the maintenance skills of maintenance personnel, including first-level skills and second-level skills, and correspond to potential fault levels; among them, first-level skills can repair first and second levels of fault levels; second-level skills can repair second level of fault level.

9. The aluminum melting furnace temperature control system according to claim 1, characterized in that: The analysis skills match the effective working time ratio of maintenance personnel, including: From the work record, the maintenance time of the maintenance personnel is extracted and marked as WX; the effective working time ratio YB of the maintenance personnel is calculated by the formula YB=δ×WX / ZS; wherein the maintenance time is the time the maintenance personnel has completed the maintenance work on that day; ZS is the daily on-the-job time of the maintenance personnel; δ is the correction coefficient, and its value is (0, 1].

10. The aluminum melting furnace temperature control system according to claim 9, characterized in that: The adapted maintenance team is composed of maintenance personnel whose effective time ratio YB is less than the ratio threshold.

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