A temperature control method for a holding furnace for horizontal continuous casting ADI production

Abstract

The present invention relates to the technical field of electronic digital data processing, and in particular to a temperature control method for a holding furnace for horizontal continuous casting ADI production, comprising: collecting temperature data of the holding furnace, dividing the temperature data of the holding furnace into a plurality of temperature data segments, determining the temperature fluctuation stability in each temperature data segment according to the difference characteristics of the temperature data and the ideal temperature value of the holding furnace, determining the operation characteristics, environmental characteristics and chemical characteristics of the temperature change in the temperature data segment according to the temperature fluctuation stability in the temperature data segment, the time length corresponding to the temperature difference, and the temperature maximum difference, and determining the judgment conditions of the temperature change caused by the characteristics of different factors, classifying the temperature data according to the temperature change characteristics and judgment conditions caused by different factors, determining the temperature change factors, and controlling the temperature of the holding furnace. The present invention analyzes various factors, accurately controls the temperature of the holding furnace, and helps to improve production efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of electronic digital data processing, and in particular to a temperature control method of a holding furnace for horizontal continuous casting ADI production. Background Art

[0002] During the production process, advanced sensors are used to monitor key parameters such as temperature in the ADI (Advanced Distance Integration, austempered ductile iron) casting process in real time, and the set values ​​are automatically adjusted through a closed-loop control system. Instant feedback and fault warnings are provided for abnormal situations, which can optimize the production process, ensure the stability and accuracy of the casting process, significantly improve product quality and production efficiency, and reduce production costs and raw material waste.

[0003] When monitoring temperature data in the ADI production process, the CART (Classification and Regression Trees, a decision tree model for classification and regression tasks) algorithm is often used. However, since the CART algorithm usually only relies on basic statistical features to build a decision tree, some key contextual information may be ignored, resulting in the CART algorithm may not be able to directly identify complex fault-related patterns and trends in the temperature data, affecting the temperature monitoring in the ADI production process. Summary of the invention

[0004] The invention provides a temperature control method of a holding furnace for horizontal continuous casting ADI production to solve the existing problems.

[0005] The temperature control method of a holding furnace for horizontal continuous casting ADI production of the present invention adopts the following technical scheme:

[0006] One embodiment of the present invention provides a method for controlling the temperature of a holding furnace for horizontal continuous casting ADI production, the method comprising the following steps:

[0007] Collect holding furnace temperature data;

[0008] The temperature data of the holding furnace is divided into several temperature data segments, and the fluctuation stability of the temperature in each temperature data segment is determined according to the difference characteristics of the temperature data of the holding furnace and the ideal temperature value of the holding furnace;

[0009] According to the temperature fluctuation stability and temperature value in the temperature data segment, the operating characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the operating characteristics are determined; according to the operating characteristics, temperature value and time length corresponding to the temperature difference in the temperature data segment, the environmental characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the environmental characteristics are determined; a temperature maximum value change straight line is drawn; according to the environmental characteristics of the temperature change in the temperature data segment and the slope of the temperature maximum value change straight line, the chemical characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the chemical characteristics are determined, and the temperature change characteristics and judgment conditions in the temperature data segment caused by different factors are obtained;

[0010] According to the temperature change characteristics and judgment conditions within the temperature data segment caused by different factors, the temperature data is classified, the temperature change factors are determined, and the temperature of the holding furnace is controlled.

[0011] Furthermore, the specific method of determining the temperature fluctuation stability in each temperature data segment includes:

[0012]

[0013] In the formula, Indicates The temperature fluctuation stability within a temperature data segment; Indicates The average value of all temperature data in a temperature data segment; Indicates the ideal temperature of the holding furnace; Indicates The standard deviation of each temperature data segment; Indicates The average of the differences between all temperature data in a temperature data segment and the ideal temperature value; Indicates taking the absolute value; Represents an exponential function with a natural constant as base.

[0014] Furthermore, the specific method of determining the operating characteristics of the temperature change in the temperature data segment and the judgment condition of the temperature change caused by the operating characteristics includes:

[0015] Determine the operating characteristics of the temperature change within the temperature data segment based on the temperature fluctuation stability and the temperature value within the temperature data segment;

[0016] An operation characteristic of the temperature change in each temperature data segment is obtained. When the operation characteristic of the temperature change in the temperature data segment is greater than a preset first threshold, the temperature change in the temperature data segment is caused by improper operation.

[0017] Furthermore, the determining of the operational characteristics of the temperature change within the temperature data segment includes the following specific methods:

[0018]

[0019] In the formula, Indicates Operational characteristics of temperature changes within a temperature data segment; Indicates The temperature fluctuation stability within a temperature data segment; Indicates The number of temperature data in a temperature data segment; Indicates The first temperature data segment Temperature data; Indicates The first temperature data segment Temperature data; Indicates taking the absolute value; Represents an exponential function with a natural constant as base.

[0020] Furthermore, the specific method of determining the environmental characteristics of the temperature change in the temperature data segment and the judgment condition of the temperature change caused by the environmental characteristics includes:

[0021] Determine the environmental characteristics of the temperature change based on the operating characteristics of the temperature change within the temperature data segment, the temperature value and the time length corresponding to the temperature difference;

[0022] The environmental characteristics of the temperature change in each temperature data segment are obtained. When the environmental characteristics of the temperature change in the temperature data segment is greater than a preset second threshold, the temperature change in the temperature data segment is caused by the environment.

[0023] Furthermore, the environmental characteristics of the temperature change in the temperature data segment are determined by the following specific methods:

[0024]

[0025] Indicates Environmental characteristics of temperature changes within a temperature data segment; Indicates Operational characteristics of temperature changes within a temperature data segment; Indicates The maximum value of the temperature data in a temperature data segment; Indicates The minimum value of the temperature data in a temperature data segment; Indicates The time interval between the maximum temperature data and the minimum temperature data in a temperature data segment; Indicates taking the absolute value; Represents an exponential function with a natural constant as base.

[0026] Furthermore, the chemical characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the chemical characteristics include the following specific methods:

[0027] Draw a straight line between the highest temperature and the lowest temperature in any temperature data segment, record it as the temperature maximum change straight line, obtain the slope of the temperature maximum change straight line, and determine the chemical characteristics of the temperature change in the temperature data segment according to the environmental characteristics of the temperature change in the temperature data segment and the slope of the temperature maximum change straight line;

[0028] A chemical feature of the temperature change in each temperature data segment is obtained. When the chemical feature of the temperature change in the temperature data segment is greater than a preset third threshold, the temperature change in the temperature data segment is caused by a chemical factor.

[0029] Furthermore, the specific calculation method for determining the chemical characteristics of the temperature change within the temperature data segment is:

[0030]

[0031] In the formula, Indicates Chemical reaction characteristics of temperature changes within a temperature data segment; Indicates Environmental characteristics of temperature changes within a temperature data segment; Indicates The slope of the straight line of temperature maximum change in a temperature data segment.

[0032] Furthermore, the temperature data is classified, including the following specific methods:

[0033] The temperature data are classified using the CART algorithm based on the temperature variation characteristics and judgment conditions within the temperature data segment caused by different factors.

[0034] Furthermore, the method of dividing the holding furnace temperature data into a plurality of temperature data segments includes:

[0035] The division time interval is preset to divide the temperature data of the holding furnace into several temperature data segments according to the time interval.

[0036] The beneficial effects of the technical solution of the present invention are as follows: the temperature data of the insulation furnace is divided into several temperature data segments, and the fluctuation stability of the temperature in each temperature data segment is determined according to the difference characteristics of the temperature data of the insulation furnace and the ideal temperature value of the insulation furnace, so as to understand the fluctuation difference of the temperature in different temperature data segments, and the operating characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the operating characteristics are determined according to the fluctuation stability of the temperature and the temperature value in the temperature data segment, and the environmental characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the environmental characteristics are determined according to the operating characteristics of the temperature change in the temperature data segment, the temperature value and the time length corresponding to the temperature difference, and the temperature difference is drawn. A temperature maximum value change straight line is made, and the chemical characteristics of the temperature change in the temperature data segment and the judgment conditions for the temperature change caused by the chemical characteristics are determined according to the environmental characteristics of the temperature change in the temperature data segment and the slope of the temperature maximum value change straight line. The temperature change characteristics and judgment conditions in the temperature data segment caused by different factors are obtained, which helps to better determine the factors causing the temperature change. The temperature data is classified according to the temperature change characteristics and judgment conditions in the temperature data segment caused by different factors, the temperature change factors are determined, and the temperature of the holding furnace is controlled. This can more accurately monitor and adjust the temperature of the holding furnace in the production process, detect temperature anomalies in time, and reduce equipment failures caused by temperature anomalies. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] 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.

[0038] Figure 1 The present invention is a flow chart of the steps of a temperature control method of a holding furnace for horizontal continuous casting ADI production. DETAILED DESCRIPTION

[0039] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the temperature control method of a holding furnace for horizontal continuous casting ADI production proposed by the present invention, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0040] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0041] The specific scheme of the temperature control method of a holding furnace for horizontal continuous casting ADI production provided by the present invention is described in detail below with reference to the accompanying drawings.

[0042] See also Figure 1 , which shows a flow chart of the steps of a temperature control method for a holding furnace for horizontal continuous casting ADI production provided by an embodiment of the present invention, the method comprising the following steps:

[0043] Step S001: Collect temperature data of the insulation furnace.

[0044] In order to implement the temperature control method of a holding furnace for horizontal continuous casting ADI production proposed in this embodiment, it is first necessary to collect the holding furnace data. The specific process is as follows:

[0045] A temperature sensor is installed on the insulation furnace, and the temperature data of the insulation furnace monitored by the temperature sensor is collected. The collected temperature data is pre-processed such as data cleaning and standardization, and the processed data is recorded as the insulation furnace temperature data.

[0046] So far, the temperature data of the holding furnace is obtained through the above method.

[0047] Step S002, dividing the temperature data of the insulation furnace into several temperature data segments, and determining the temperature fluctuation stability in each temperature data segment according to the difference characteristics of the temperature data of the insulation furnace and the ideal temperature value of the insulation furnace.

[0048] It should be noted that temperature stability directly affects the reaction rate and formation quality of raw materials in the ADI production process. Therefore, it is necessary to optimize the production process and ensure product quality by real-time monitoring and adjusting temperature changes. By continuously monitoring temperature data, any abnormal fluctuations can be discovered in time. In order to identify the different causes of abnormal temperature fluctuations, it is first necessary to distinguish abnormal fluctuations from the real-time monitored temperature data based on the smoothness of its fluctuations, because the fluctuations of abnormal temperature data may be caused by a variety of different factors, while the fluctuations of normal temperature data have a certain regularity, usually manifested as small fluctuations around a fixed value, and are relatively stable.

[0049] Specifically, the temperature when the insulation furnace is in a stable state is recorded as the ideal temperature value of the insulation furnace, a time interval is preset, and the temperature data of the insulation furnace is divided into several temperature data segments according to the time intervals. The temperature fluctuation stability in the temperature data segment is determined based on the difference characteristics of the data in the temperature data segment and the ideal temperature value of the insulation furnace.

[0050] As an embodiment, the specific calculation method of the temperature fluctuation stability within the temperature data segment is:

[0051]

[0052] In the formula, Indicates The temperature fluctuation stability within a temperature data segment; Indicates The average value of all temperature data in a temperature data segment; Indicates the ideal temperature of the holding furnace; Indicates The standard deviation of each temperature data segment; Indicates The average of the differences between all temperature data in a temperature data segment and the ideal temperature value; Indicates taking the absolute value; Represents an exponential function with a natural constant as base.

[0053] It should be noted that It is an important indicator to measure temperature fluctuations. The dispersion of temperature values ​​around the average temperature in a temperature data segment. The smaller the value, the The more stable the temperature data segment is, It represents the average value of the fluctuation around the ideal temperature value, which is used to measure the The fluctuation range of a temperature data segment is The smaller the value, the The smaller the fluctuation range of the temperature data segment around the ideal temperature value, the The greater the temperature fluctuation stability within a temperature data segment, Indicates The difference between the average value of all temperature data in a temperature data segment and the ideal temperature value. The smaller the value, the smaller the difference. The higher the temperature fluctuation stability within a temperature data segment.

[0054] It should be noted that the division time interval is preset to 4 hours based on experience, which can be adjusted according to actual conditions and is not specifically limited in this embodiment.

[0055] So far, the fluctuation stability of the temperature of the holding furnace has been obtained through the above method.

[0056] Step S003, based on the temperature fluctuation stability and temperature value in the temperature data segment, determine the operational characteristics of the temperature change in the temperature data segment and the judgment conditions for the temperature change caused by the operational characteristics; based on the operational characteristics of the temperature change in the temperature data segment, the temperature value and the time length corresponding to the temperature difference, determine the environmental characteristics of the temperature change in the temperature data segment and the judgment conditions for the temperature change caused by the environmental characteristics; draw a straight line for the maximum temperature change; based on the environmental characteristics of the temperature change in the temperature data segment and the slope of the straight line for the maximum temperature change, determine the chemical characteristics of the temperature change in the temperature data segment and the judgment conditions for the temperature change caused by the chemical characteristics; and obtain the temperature change characteristics and judgment conditions in the temperature data segment caused by different factors.

[0057] It should be noted that in the case of abnormal temperature fluctuations in the holding furnace, the factors that lead to temperature changes include: improper operation, environmental impact, chemical reaction exotherm and equipment failure. In order to ensure the stability of the production process and product quality, it is necessary to identify and classify these factors that lead to temperature changes. The first three factors (improper operation, environmental impact, chemical reaction exotherm) can be controlled and adjusted through the production control system of the foundry ADI, while equipment failure requires early warning and shutdown for maintenance. Therefore, the characteristics of the temperature change of the holding furnace can be used to determine the cause of the temperature change.

[0058] Step (3.1), based on the temperature fluctuation stability and temperature value in the temperature data segment, determine the operating characteristics of the temperature change in the temperature data segment and the judgment conditions for the temperature change caused by the operating characteristics.

[0059] It should be noted that incorrect temperature or pressure parameter settings, incorrect raw material injection time and other operations are considered improper operations. Improper operations will cause the temperature of the holding furnace to fluctuate, and the temperature will change rapidly and the change range will be inconsistent.

[0060] Specifically, the operational characteristics of the temperature change in the temperature data segment are determined according to the temperature fluctuation stability and the temperature value in the temperature data segment.

[0061] As an embodiment, a specific method for calculating the operating characteristics of temperature changes within a temperature data segment is as follows:

[0062]

[0063] In the formula, Indicates Operational characteristics of temperature changes within a temperature data segment; Indicates The temperature fluctuation stability within a temperature data segment; Indicates The number of temperature data in a temperature data segment; Indicates The first temperature data segment Temperature data; Indicates The first temperature data segment Temperature data; Indicates taking the absolute value; Represents an exponential function with a natural constant as base.

[0064] It should be noted that The smaller the value, the The greater the abnormal degree of temperature fluctuation within a temperature data segment, the greater the possibility of temperature change caused by improper operation, and the greater the operational characteristics of the temperature change. Indicates The average of the differences of all temperature data changes in a temperature data segment reflects the The degree of disorder of temperature change within a temperature data segment is The larger the value, the The greater the degree of chaos in the temperature change within a temperature data segment, the more consistent it is with the characteristics of temperature change caused by improper operation.

[0065] The operating characteristic of the temperature change in each temperature data segment is obtained. When the operating characteristic of the temperature change in the temperature data segment is greater than a preset first threshold, it can be considered that the temperature change in the temperature data segment is caused by improper operation.

[0066] It should be noted that the value of the first threshold is preset to 0.5 based on experience, and can be adjusted according to actual conditions, and is not specifically limited in this embodiment.

[0067] Step (3.2) determines the environmental characteristics of the temperature change in the temperature data segment and the judgment conditions for the temperature change caused by the environmental characteristics based on the operating characteristics of the temperature change in the temperature data segment, the temperature value and the time length corresponding to the temperature difference.

[0068] It should be noted that the increase or decrease in ambient temperature will also directly affect the temperature of the equipment. For example, it is difficult for the equipment to dissipate heat in a high-temperature environment, which may cause the temperature to rise abnormally, while a low-temperature environment may cause the equipment temperature to be too low. The temperature change of the insulation furnace caused by the ambient temperature is usually manifested as a slow change in the insulation furnace temperature and a small change range, but the change lasts for a long time, causing the insulation furnace temperature to deviate from the normal temperature for a long time.

[0069] Specifically, the environmental characteristics of the temperature change are determined according to the operating characteristics of the temperature change in the temperature data segment, the temperature value, and the time length corresponding to the temperature difference.

[0070] As an embodiment, a specific method for calculating the environmental characteristics of temperature changes within a temperature data segment is as follows:

[0071]

[0072] In the formula, Indicates Environmental characteristics of temperature changes within a temperature data segment; Indicates Operational characteristics of temperature changes within a temperature data segment; Indicates The maximum value of the temperature data in a temperature data segment; Indicates The minimum value of the temperature data in a temperature data segment; Indicates The time interval between the maximum temperature data and the minimum temperature data in a temperature data segment; Indicates taking the absolute value; Represents an exponential function with a natural constant as base.

[0073] It should be noted that The smaller the value, the The more different the temperature change characteristics in the first temperature data segment are from the temperature change characteristics caused by improper operation, the The more likely the temperature data segment is caused by environmental characteristics, The larger the value, the The longer and slower the temperature fluctuation in a temperature data segment is, the more it can represent the temperature change characteristics caused by environmental factors. Indicates The difference between the maximum temperature and the minimum temperature data in a temperature data segment. The smaller the value, the The smaller the overall fluctuation range of each temperature data segment, the more abnormal changes in temperature fluctuations caused by environmental factors have a certain limit, and the fluctuation range is smaller than other factors. The greater the environmental characteristics of the temperature data segment change.

[0074] The environmental characteristics of the temperature change in each temperature data segment are obtained. When the environmental characteristics of the temperature change in the temperature data segment is greater than a preset second threshold, it can be considered that the temperature change in the temperature data segment is caused by the environment.

[0075] It should be noted that the value of the second threshold is preset to 0.5 based on experience, and can be adjusted according to actual conditions, and is not specifically limited in this embodiment.

[0076] Step (3.3), draw a straight line of the maximum temperature change in the temperature data segment, and determine the chemical characteristics of the temperature change in the temperature data segment and the judgment conditions for the temperature change caused by the chemical characteristics based on the environmental characteristics of the temperature change in the temperature data segment and the slope of the straight line of the maximum temperature change.

[0077] It should be noted that when the heat release rate of a chemical reaction exceeds the heat transfer capacity of the cooling system, heat will accumulate in the reaction system, causing an abnormal temperature rise. The temperature change in the insulation furnace caused by chemical changes is mainly manifested in a rapid temperature rise, which increases rapidly in a short period of time, and a large temperature change range. It may rise from normal temperature to the maximum synthesis reaction temperature, triggering a secondary decomposition reaction and further heating.

[0078] Specifically, draw a straight line between the highest temperature and the lowest temperature in any temperature data segment, record it as the temperature maximum change straight line, obtain the slope of the temperature maximum change straight line, and determine the chemical characteristics of the temperature change in the temperature data segment based on the environmental characteristics of the temperature change in the temperature data segment and the slope of the temperature maximum change straight line.

[0079] As an example, a specific method for calculating the chemical characteristics of temperature changes within a temperature data segment is as follows:

[0080]

[0081] In the formula, Indicates Chemical reaction characteristics of temperature changes within a temperature data segment; Indicates Environmental characteristics of temperature changes within a temperature data segment; Indicates The slope of the straight line of temperature maximum change in a temperature data segment.

[0082] It should be noted that The smaller the value, the The more different the temperature change characteristics within a temperature data segment are from the temperature change characteristics caused by environmental characteristics, the more likely it is that the temperature change is caused by a chemical reaction. The larger the value, the faster the speed of change between the maximum and minimum temperature values, the more drastic and sudden the temperature change, and the greater the chemical reaction characteristics of the temperature data segment change.

[0083] The chemical characteristics of the temperature change in each temperature data segment are obtained. When the chemical characteristics of the temperature change in the temperature data segment is greater than a preset third threshold, it can be considered that the temperature change in the temperature data segment is caused by chemical factors.

[0084] It should be noted that the third threshold value is preset to be 0.5 based on experience, and can be adjusted according to actual conditions, and is not specifically limited in this embodiment.

[0085] So far, the temperature variation characteristics and judgment conditions within the temperature data segment caused by different factors are obtained through the above method.

[0086] Step S004, classify the temperature data based on the temperature change characteristics and judgment conditions in the temperature data segment caused by different factors, determine the temperature change factors, and control the temperature of the insulation furnace.

[0087] Specifically, the above method is used to obtain the characteristics and feature judgment conditions for classifying temperature data using the CART algorithm, and then the CART algorithm is used to classify the temperature data. The factors causing the temperature change of the insulation furnace are determined according to the classification results. Different processing measures are taken for different factors causing the temperature change to achieve temperature control of the insulation furnace.

[0088] At this point, this embodiment is completed.

[0089] It should be noted that the The model is only used to represent negative correlation and constrain the output of the model to be in In the specific implementation, it can be replaced by other models with the same purpose. This embodiment is only based on The model is described as an example without any specific limitation. is the input to the model.

[0090] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A temperature control method for a holding furnace for horizontal continuous casting ADI production, characterized in that: The method comprises the following steps: Collect holding furnace temperature data; The temperature data of the holding furnace is divided into several temperature data segments, and the fluctuation stability of the temperature in each temperature data segment is determined according to the difference characteristics of the temperature data of the holding furnace and the ideal temperature value of the holding furnace; According to the temperature fluctuation stability and temperature value in the temperature data segment, the operating characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the operating characteristics are determined; according to the operating characteristics, temperature value and time length corresponding to the temperature difference in the temperature data segment, the environmental characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the environmental characteristics are determined; a temperature maximum value change straight line is drawn; according to the environmental characteristics of the temperature change in the temperature data segment and the slope of the temperature maximum value change straight line, the chemical characteristics of the temperature change in the temperature data segment and the judgment conditions of the temperature change caused by the chemical characteristics are determined, and the temperature change characteristics and judgment conditions in the temperature data segment caused by different factors are obtained; Classify the temperature data according to the temperature change characteristics and judgment conditions within the temperature data segment caused by different factors, determine the temperature change factors, and control the temperature of the holding furnace; The specific method of determining the temperature fluctuation stability in each temperature data segment includes: In the formula, Indicates The temperature fluctuation stability within a temperature data segment; Indicates The average value of all temperature data in a temperature data segment; Indicates the ideal temperature of the holding furnace; Indicates The standard deviation of each temperature data segment; Indicates The average of the differences between all temperature data in a temperature data segment and the ideal temperature value; Indicates taking the absolute value; represents an exponential function with a natural constant as base; The specific method of determining the operating characteristics of the temperature change in the temperature data segment and the judgment condition of the temperature change caused by the operating characteristics includes: Determine the operating characteristics of the temperature change within the temperature data segment based on the temperature fluctuation stability and the temperature value within the temperature data segment; Acquire an operation characteristic of the temperature change in each temperature data segment, and when the operation characteristic of the temperature change in the temperature data segment is greater than a preset first threshold, the temperature change in the temperature data segment is caused by improper operation; The specific method of determining the operating characteristics of the temperature change in the temperature data segment includes: In the formula, Indicates Operational characteristics of temperature changes within a temperature data segment; Indicates The temperature fluctuation stability within a temperature data segment; Indicates The number of temperature data in a temperature data segment; Indicates The first temperature data segment Temperature data; Indicates The first temperature data segment Temperature data; Indicates taking the absolute value; represents an exponential function with a natural constant as base; The specific method of determining the environmental characteristics of the temperature change in the temperature data segment and the judgment condition of the temperature change caused by the environmental characteristics includes: Determine the environmental characteristics of the temperature change based on the operating characteristics of the temperature change within the temperature data segment, the temperature value and the time length corresponding to the temperature difference; Acquire an environmental feature of the temperature change in each temperature data segment, and when the environmental feature of the temperature change in the temperature data segment is greater than a preset second threshold, the temperature change in the temperature data segment is caused by the environment; The specific method of determining the environmental characteristics of the temperature change in the temperature data segment includes: Indicates Environmental characteristics of temperature changes within a temperature data segment; Indicates Operational characteristics of temperature changes within a temperature data segment; Indicates The maximum value of the temperature data in a temperature data segment; Indicates The minimum value of the temperature data in a temperature data segment; Indicates The time interval between the maximum temperature data and the minimum temperature data in a temperature data segment; Indicates taking the absolute value; represents an exponential function with a natural constant as base; The specific method of determining the chemical characteristics of the temperature change in the temperature data segment and the judgment condition of the temperature change caused by the chemical characteristics includes: Draw a straight line between the highest temperature and the lowest temperature in any temperature data segment, record it as the temperature maximum change straight line, obtain the slope of the temperature maximum change straight line, and determine the chemical characteristics of the temperature change in the temperature data segment according to the environmental characteristics of the temperature change in the temperature data segment and the slope of the temperature maximum change straight line; A chemical feature of the temperature change in each temperature data segment is obtained. When the chemical feature of the temperature change in the temperature data segment is greater than a preset third threshold, the temperature change in the temperature data segment is caused by a chemical factor.

2. A temperature control method for a holding furnace for horizontal continuous casting ADI production according to claim 1, characterized in that: The specific calculation method for determining the chemical characteristics of temperature changes within the temperature data segment is: In the formula, Indicates Chemical reaction characteristics of temperature changes within a temperature data segment; Indicates Environmental characteristics of temperature changes within a temperature data segment; Indicates The slope of the straight line of temperature maximum change in a temperature data segment.

3. The temperature control method of a holding furnace for horizontal continuous casting ADI production according to claim 1, characterized in that: The specific method of classifying the temperature data includes: The temperature data are classified using the CART algorithm based on the temperature variation characteristics and judgment conditions within the temperature data segment caused by different factors.

4. The temperature control method of a holding furnace for horizontal continuous casting ADI production according to claim 1, characterized in that: The specific method of dividing the holding furnace temperature data into a plurality of temperature data segments includes: The division time interval is preset to divide the temperature data of the holding furnace into several temperature data segments according to the time interval.

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