A high temperature furnace cooling control system and method

Abstract

The present invention relates to the technical field of carbon black high temperature furnaces, and discloses a high temperature furnace cooling control system and method, the system comprising: an acquisition module, a calculation module, a judgment module, and a cooling module. The acquisition module acquires the real-time temperature of the temperature detection points in the carbon black high temperature furnace and determines the real-time temperature set; the calculation module constructs a real-time temperature curve according to the real-time temperature set, calibrates the real-time temperature points, and calculates the slope of the temperature curve between every two adjacent real-time temperature points; the judgment module judges whether the carbon black high temperature furnace meets the coordinated cooling conditions according to all the temperature curve slopes; the cooling module generates a cooling treatment plan for the carbon black high temperature furnace according to all the real-time temperatures when the carbon black high temperature furnace meets the coordinated cooling conditions, wherein the cooling module comprises an air cooling unit and a water cooling unit, which can efficiently cool the carbon black high temperature furnace, shorten the cooling time, ensure the operating reliability and stability of the carbon black high temperature furnace, and improve the production efficiency of the carbon black high temperature furnace.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon black high temperature furnaces, and in particular to a high temperature furnace temperature reduction control system and method. Background Art

[0002] Carbon black is produced by high-temperature cracking of natural gas or heavy oil in a carbon black reactor. A carbon black high-temperature furnace is a device used to produce carbon black by high-temperature cracking or burning hydrocarbon raw materials. The carbon black high-temperature furnace consists of five major parts: a combustion chamber, a throat, a reaction section, a quenching section, and a retention section. In the process of producing carbon black, the temperature of the combustion section in the carbon black high-temperature furnace is usually 1600-1700°C; the throat and reaction section are high-temperature areas, and the operating temperature is as high as 1900-2000°C. Therefore, this makes the cooling rate of the carbon black high-temperature furnace very slow, and it often takes a long time to open the furnace to discharge materials, which seriously affects the utilization rate of the equipment and has low production efficiency.

[0003] In the prior art, the carbon black high temperature furnace is generally cooled by a heat exchanger. The flue gas does not come into direct contact with the cooling medium, and the heat is mainly transferred by convection and radiation of the heat exchanger. Commonly used heat exchanger types include shell and tube, spiral plate and plate heat exchangers. However, this existing cooling method has a low cooling rate, and this cooling method cannot meet the demand for the carbon black high temperature furnace to be used again in a short time, which seriously affects the carbon black production efficiency. Summary of the invention

[0004] The embodiment of the present invention provides a high-temperature furnace cooling control system and method, which is used to solve the technical problems in the prior art that the carbon black high-temperature furnace cannot be cooled efficiently, the cooling time cannot be shortened, and the production efficiency of the carbon black high-temperature furnace is reduced.

[0005] In order to achieve the above object, the present invention provides a high temperature furnace cooling control system, comprising:

[0006] The acquisition module is used to collect the real-time temperature of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to the preset time and determine the real-time temperature set;

[0007] A calculation module, used to construct a real-time temperature curve according to the real-time temperature set, calibrate the real-time temperature points on the real-time temperature curve, and calculate the slope of the temperature curve between every two adjacent real-time temperature points;

[0008] A judgment module, used to judge whether the carbon black high temperature furnace meets the coordinated cooling condition according to the slopes of all temperature curves;

[0009] A cooling module is used to generate a cooling treatment plan for the carbon black high-temperature furnace according to all real-time temperatures when the carbon black high-temperature furnace meets the coordinated cooling conditions, wherein the cooling module includes an air cooling unit and a water cooling unit.

[0010] Furthermore, it also includes:

[0011] A first acquisition module is used to acquire characteristic information of the carbon black high temperature furnace, wherein the characteristic information includes the volume, internal component positions, and internal space of the carbon black high temperature furnace;

[0012] A first model building module is used to build a three-dimensional spatial structure model of the carbon black high temperature furnace according to the characteristic information;

[0013] A second model building module is used to determine the boundary conditions of the three-dimensional spatial structure model and build a temperature distribution prediction model of the carbon black high temperature furnace;

[0014] A deployment module is used to set the distribution area and distribution number of temperature detection points in the carbon black high-temperature furnace according to the temperature distribution prediction model.

[0015] Furthermore, the judgment module is specifically used for:

[0016] The judgment module is used to extract all temperature curve slopes and determine the cluster center;

[0017] The judgment module is used to determine the distance value from the slope of each temperature curve to the clustering center based on the K-Means clustering algorithm;

[0018] The judgment module is used to obtain a preset first distance threshold and a second distance threshold;

[0019] The judgment module is used to classify all distance values ​​less than the first distance threshold into a first distance set, and classify all distance values ​​greater than the second distance threshold into a second distance set;

[0020] The judgment module is used to calculate the comprehensive judgment value of the carbon black high-temperature furnace according to the first distance set and the second distance set.

[0021] Furthermore, the judgment module calculates the comprehensive judgment value of the carbon black high temperature furnace according to the following formula:

[0022] ;

[0023] Among them, D is the comprehensive judgment value of the carbon black high temperature furnace, n1 is the number of distance values ​​in the first distance set, Li is the i-th distance value in the first distance set, w1 is the first distance threshold, n2 is the number of distance values ​​in the second distance set, Fi is the i-th distance value in the second distance set, w2 is the second distance threshold, a is the first calculation coefficient, b is the second calculation coefficient, and a+b=1.

[0024] Furthermore, the judgment module is specifically used for:

[0025] The judgment module is used to obtain a preset comprehensive judgment threshold;

[0026] The judgment module is used to judge whether the carbon black high temperature furnace meets the coordinated cooling condition according to the relationship between the comprehensive judgment value and the comprehensive judgment threshold;

[0027] The judgment module is used to judge that the carbon black high temperature furnace does not meet the coordinated cooling condition when the comprehensive judgment value is less than the comprehensive judgment threshold.

[0028] The judgment module is used to judge that the carbon black high-temperature furnace meets the coordinated cooling condition when the comprehensive judgment value is greater than or equal to the comprehensive judgment threshold.

[0029] Furthermore, the cooling module is specifically used for:

[0030] The cooling module is used to compare the values ​​of all real-time temperatures and determine a maximum real-time temperature;

[0031] The cooling module is used to preset a maximum real-time temperature set, wherein the maximum real-time temperature set includes a first preset maximum real-time temperature t1 and a second preset maximum real-time temperature t2, and t1 <t2;

[0032] The cooling module is used to pre-set an air cooling power set and a water cooling power set, wherein the air cooling power set includes a first preset air cooling power p1, a second preset air cooling power p1 and a third preset air cooling power p3, and the water cooling power set includes a first preset water cooling power r1, a second preset water cooling power r2 and a third preset water cooling power r3, and p1 <p2<p3,r1<r2<r3;

[0033] The cooling module is used to select the cooling power of the air cooling unit and the water cooling unit from the air cooling power set and the water cooling power set respectively according to the relationship between the real-time temperature and the maximum real-time temperature set.

[0034] Furthermore, it also includes:

[0035] A second acquisition module is used to obtain the next use time of the carbon black high temperature furnace and the furnace body strength of the carbon black high temperature furnace;

[0036] A time evaluation module, used to evaluate the next usage time based on a pre-trained time evaluation model to obtain a time evaluation value;

[0037] A strength assessment module is used to assess the strength of the furnace body based on a pre-trained strength assessment model to obtain a furnace body strength assessment value;

[0038] An evaluation value calculation module, used to calculate a comprehensive evaluation value of the time evaluation value and the furnace body strength evaluation value;

[0039] The regulating module is used to regulate the cooling power of the air cooling unit and the cooling power of the water cooling unit according to the comprehensive evaluation value.

[0040] Furthermore, the adjustment module is specifically used for:

[0041] The adjustment module is used to preset a comprehensive evaluation value set, wherein the comprehensive evaluation value set includes a first preset comprehensive evaluation value set K1 and a second preset comprehensive evaluation value set K2, and K1 <K2;

[0042] The adjustment module is used to pre-set an air cooling power correction coefficient set and a water cooling power correction coefficient set, wherein the air cooling power correction coefficient set includes a first preset air cooling power correction coefficient h1, a second preset air cooling power correction coefficient h2 and a third preset air cooling power correction coefficient h3, and the water cooling power correction coefficient set includes a first preset water cooling power correction coefficient g1, a second preset water cooling power correction coefficient g2 and a third preset water cooling power correction coefficient g3, and h1 <h2<h3,g1<g2<g3;

[0043] The adjustment module is used to select corresponding correction coefficients from the air cooling power correction coefficient set and the water cooling power correction coefficient set according to the relationship between the comprehensive evaluation value and the comprehensive evaluation value set to adjust the cooling power of the air cooling unit and the cooling power of the water cooling unit.

[0044] In order to achieve the above object, the present invention also provides a high temperature furnace temperature reduction control method, comprising:

[0045] Collect the real-time temperatures of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to the preset time, and determine the real-time temperature set;

[0046] Constructing a real-time temperature curve according to the real-time temperature set, calibrating the real-time temperature points on the real-time temperature curve, and calculating the slope of the temperature curve between every two adjacent real-time temperature points;

[0047] Judging whether the carbon black high temperature furnace meets the coordinated cooling conditions according to the slopes of all temperature curves;

[0048] When the carbon black high temperature furnace meets the coordinated cooling conditions, a cooling treatment plan for the carbon black high temperature furnace is generated according to all real-time temperatures, wherein the cooling module includes an air cooling unit and a water cooling unit.

[0049] Furthermore, before collecting the real-time temperatures of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to the preset time and determining the real-time temperature set, it also includes:

[0050] Acquiring characteristic information of the carbon black high temperature furnace, wherein the characteristic information includes the volume, internal component positions, and internal space of the carbon black high temperature furnace;

[0051] Constructing a three-dimensional spatial structure model of the carbon black high temperature furnace according to the characteristic information;

[0052] Determining the boundary conditions of the three-dimensional spatial structure model and constructing a temperature distribution prediction model of the carbon black high-temperature furnace;

[0053] The distribution area and the number of temperature detection points in the carbon black high-temperature furnace are set according to the temperature distribution prediction model.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] The present invention relates to the technical field of carbon black high temperature furnaces, and discloses a high temperature furnace cooling control system and method, the system comprising: an acquisition module, a calculation module, a judgment module, and a cooling module. The acquisition module acquires the real-time temperature of the temperature detection points in the carbon black high temperature furnace and determines the real-time temperature set; the calculation module constructs a real-time temperature curve according to the real-time temperature set, calibrates the real-time temperature points, and calculates the slope of the temperature curve between every two adjacent real-time temperature points; the judgment module judges whether the carbon black high temperature furnace meets the coordinated cooling conditions according to all the temperature curve slopes; the cooling module generates a cooling treatment plan for the carbon black high temperature furnace according to all the real-time temperatures when the carbon black high temperature furnace meets the coordinated cooling conditions, wherein the cooling module comprises an air cooling unit and a water cooling unit, which can efficiently cool the carbon black high temperature furnace, shorten the cooling time, ensure the operating reliability and stability of the carbon black high temperature furnace, and improve the production efficiency of the carbon black high temperature furnace. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0057] Figure 1 A schematic structural diagram of a high temperature furnace temperature reduction control system according to an embodiment of the present invention is shown;

[0058] Figure 2 A schematic flow chart of a high temperature furnace temperature reduction control method in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0059] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0060] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0061] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0062] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0063] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0064] like Figure 1 As shown, an embodiment of the present invention discloses a high-temperature furnace cooling control system, including: a collection module, a calculation module, a judgment module, and a cooling module.

[0065] In some embodiments of the present application, the acquisition module is used to collect the real-time temperatures of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to preset times, and determine the real-time temperature set; the calculation module is used to construct a real-time temperature curve according to the real-time temperature set, and calibrate the real-time temperature points on the real-time temperature curve, and calculate the slope of the temperature curve between every two adjacent real-time temperature points; the judgment module is used to judge whether the carbon black high-temperature furnace meets the coordinated cooling conditions according to all the temperature curve slopes; the cooling module is used to generate a cooling treatment plan for the carbon black high-temperature furnace according to all the real-time temperatures when the carbon black high-temperature furnace meets the coordinated cooling conditions, wherein the cooling module includes an air cooling unit and a water cooling unit.

[0066] The beneficial effect of the above technical solution is that the present invention can efficiently cool down the carbon black high-temperature furnace, shorten the cooling time, ensure the operating reliability and stability of the carbon black high-temperature furnace, and improve the production efficiency of the carbon black high-temperature furnace.

[0067] In some embodiments of the present application, it also includes:

[0068] A first acquisition module is used to acquire characteristic information of the carbon black high temperature furnace, wherein the characteristic information includes the volume, internal component positions, and internal space of the carbon black high temperature furnace;

[0069] A first model building module is used to build a three-dimensional spatial structure model of the carbon black high temperature furnace according to the characteristic information;

[0070] A second model building module is used to determine the boundary conditions of the three-dimensional spatial structure model and build a temperature distribution prediction model of the carbon black high temperature furnace;

[0071] A deployment module is used to set the distribution area and distribution number of temperature detection points in the carbon black high-temperature furnace according to the temperature distribution prediction model.

[0072] The beneficial effect of the above technical solution is that the present invention can accurately set the distribution area and number of temperature detection points by constructing a three-dimensional spatial structure model and a temperature distribution prediction model, thereby laying a foundation for subsequent real-time temperature collection.

[0073] In some embodiments of the present application, the judgment module is specifically used to:

[0074] The judgment module is used to extract all temperature curve slopes and determine the cluster center;

[0075] The judgment module is used to determine the distance value from the slope of each temperature curve to the clustering center based on the K-Means clustering algorithm;

[0076] The judgment module is used to obtain a preset first distance threshold and a second distance threshold;

[0077] The judgment module is used to classify all distance values ​​less than the first distance threshold into a first distance set, and classify all distance values ​​greater than the second distance threshold into a second distance set;

[0078] The judgment module is used to calculate the comprehensive judgment value of the carbon black high-temperature furnace according to the first distance set and the second distance set.

[0079] In this embodiment, two adjacent real-time temperature points (x1, y1) and (x2, y2) are selected on the temperature curve, where x1 is the moment and y1 is the corresponding real-time temperature, x2 is the adjacent moment and y2 is the corresponding real-time temperature, and the formula m=(y2 - y1) / (x2 - x1) is used to calculate the slope of the two adjacent real-time temperature points.

[0080] In this embodiment, K-Means is a partition-based clustering algorithm.

[0081] In this embodiment, the first distance threshold and the second distance threshold can be set according to actual conditions and are not specifically limited here.

[0082] The beneficial effect of the above technical solution is: calculating the comprehensive judgment value of the carbon black high-temperature furnace based on the first distance set and the second distance set can lay the foundation for cooling the carbon black high-temperature furnace and avoid excessive cooling, which will damage the furnace body and cause damage to the carbon black high-temperature furnace.

[0083] In some embodiments of the present application, the judgment module calculates the comprehensive judgment value of the carbon black high temperature furnace according to the following formula:

[0084] ;

[0085] Among them, D is the comprehensive judgment value of the carbon black high temperature furnace, n1 is the number of distance values ​​in the first distance set, Li is the i-th distance value in the first distance set, w1 is the first distance threshold, n2 is the number of distance values ​​in the second distance set, Fi is the i-th distance value in the second distance set, w2 is the second distance threshold, a is the first calculation coefficient, b is the second calculation coefficient, and a+b=1.

[0086] In some embodiments of the present application, the judgment module is specifically used to:

[0087] The judgment module is used to obtain a preset comprehensive judgment threshold;

[0088] The judgment module is used to judge whether the carbon black high temperature furnace meets the coordinated cooling condition according to the relationship between the comprehensive judgment value and the comprehensive judgment threshold;

[0089] The judgment module is used to judge that the carbon black high temperature furnace does not meet the coordinated cooling condition when the comprehensive judgment value is less than the comprehensive judgment threshold.

[0090] The judgment module is used to judge that the carbon black high-temperature furnace meets the coordinated cooling condition when the comprehensive judgment value is greater than or equal to the comprehensive judgment threshold.

[0091] The beneficial effect of the above technical solution is: the present invention judges whether the carbon black high-temperature furnace meets the coordinated cooling conditions based on the relationship between the comprehensive judgment value and the comprehensive judgment threshold, thereby ensuring the simplicity of the judgment process.

[0092] In some embodiments of the present application, the cooling module is specifically used for:

[0093] The cooling module is used to compare the values ​​of all real-time temperatures and determine a maximum real-time temperature;

[0094] The cooling module is used to preset a maximum real-time temperature set, wherein the maximum real-time temperature set includes a first preset maximum real-time temperature t1 and a second preset maximum real-time temperature t2, and t1 <t2;

[0095] The cooling module is used to pre-set an air cooling power set and a water cooling power set, wherein the air cooling power set includes a first preset air cooling power p1, a second preset air cooling power p1 and a third preset air cooling power p3, and the water cooling power set includes a first preset water cooling power r1, a second preset water cooling power r2 and a third preset water cooling power r3, and p1 <p2<p3,r1<r2<r3;

[0096] The cooling module is used to select the cooling power of the air cooling unit and the water cooling unit from the air cooling power set and the water cooling power set respectively according to the relationship between the real-time temperature and the maximum real-time temperature set.

[0097] In this embodiment, when the maximum real-time temperature is less than the first preset maximum real-time temperature t1, the first preset air cooling power p1 is selected as the cooling power of the air cooling unit, and the first preset water cooling power r1 is selected as the cooling power of the water cooling unit.

[0098] In this embodiment, when the maximum real-time temperature is greater than or equal to the first preset maximum real-time temperature t1, and the maximum real-time temperature is less than the second preset maximum real-time temperature t2, the second preset air cooling power p2 is selected as the cooling power of the air cooling unit, and the second preset water cooling power r2 is selected as the cooling power of the water cooling unit.

[0099] In this embodiment, when the maximum real-time temperature is greater than or equal to the second preset maximum real-time temperature t2, the third preset air cooling power p3 is selected as the cooling power of the air cooling unit, and the third preset water cooling power r3 is selected as the cooling power of the water cooling unit.

[0100] The beneficial effect of the above technical solution is: the present invention selects the cooling power of the air cooling unit and the water cooling unit from the air cooling power set and the water cooling power set according to the relationship between the real-time temperature and the maximum real-time temperature set, thereby achieving rapid cooling of the carbon black high-temperature furnace, improving the cooling efficiency, and reducing the cooling time.

[0101] In some embodiments of the present application, it also includes:

[0102] A second acquisition module is used to obtain the next use time of the carbon black high temperature furnace and the furnace body strength of the carbon black high temperature furnace;

[0103] A time evaluation module, used to evaluate the next usage time based on a pre-trained time evaluation model to obtain a time evaluation value;

[0104] A strength assessment module is used to assess the strength of the furnace body based on a pre-trained strength assessment model to obtain a furnace body strength assessment value;

[0105] An evaluation value calculation module, used to calculate a comprehensive evaluation value of the time evaluation value and the furnace body strength evaluation value;

[0106] The regulating module is used to regulate the cooling power of the air cooling unit and the cooling power of the water cooling unit according to the comprehensive evaluation value.

[0107] In this embodiment, the time evaluation model is pre-trained, and is obtained through training based on different data samples and evaluation values ​​matched by the data samples.

[0108] In this embodiment, the strength evaluation model is pre-trained, and is obtained through training based on different data samples and evaluation values ​​matched with the data samples.

[0109] The beneficial effect of the above technical solution is that the present invention can provide reliable data support for the cooling power regulation of the air cooling unit and the water cooling unit by calculating the evaluation and value.

[0110] In some embodiments of the present application, the adjustment module is specifically used to:

[0111] The adjustment module is used to preset a comprehensive evaluation value set, wherein the comprehensive evaluation value set includes a first preset comprehensive evaluation value set K1 and a second preset comprehensive evaluation value set K2, and K1 <K2;

[0112] The adjustment module is used to pre-set an air cooling power correction coefficient set and a water cooling power correction coefficient set, wherein the air cooling power correction coefficient set includes a first preset air cooling power correction coefficient h1, a second preset air cooling power correction coefficient h2 and a third preset air cooling power correction coefficient h3, and the water cooling power correction coefficient set includes a first preset water cooling power correction coefficient g1, a second preset water cooling power correction coefficient g2 and a third preset water cooling power correction coefficient g3, and h1 <h2<h3,g1<g2<g3;

[0113] The adjustment module is used to select corresponding correction coefficients from the air cooling power correction coefficient set and the water cooling power correction coefficient set according to the relationship between the comprehensive evaluation value and the comprehensive evaluation value set to adjust the cooling power of the air cooling unit and the cooling power of the water cooling unit.

[0114] In this embodiment, when the evaluation sum value is less than the first preset evaluation sum value K1, the first preset air cooling power correction coefficient h1 is selected to adjust the cooling power of the air cooling unit, that is, the product value of the two is calculated; the first preset water cooling power correction coefficient g1 is selected to adjust the cooling power of the water cooling unit, that is, the product value of the two is calculated;

[0115] In this embodiment, when the evaluation sum value is greater than or equal to the first preset evaluation sum value K1, and the evaluation sum value is less than the second preset evaluation sum value K2, the second preset air cooling power correction coefficient h2 is determined to adjust the cooling power of the air cooling unit, that is, the product value of the two is calculated; the second preset water cooling power correction coefficient g2 is selected to adjust the cooling power of the water cooling unit, that is, the product value of the two is calculated;

[0116] In this embodiment, when the evaluation sum value is greater than or equal to the second preset evaluation sum value K2, the third preset air cooling power correction coefficient h3 is determined to adjust the cooling power of the air cooling unit, that is, the product value of the two is calculated; the third preset water cooling power correction coefficient g3 is selected to adjust the cooling power of the water cooling unit, that is, the product value of the two is calculated;

[0117] The beneficial effect of the above technical solution is: according to the relationship between the comprehensive evaluation value and the comprehensive evaluation value set, the corresponding correction coefficients are selected from the air-cooling power correction coefficient set and the water-cooling power correction coefficient set to adjust the cooling power of the air-cooling unit and the cooling power of the water-cooling unit, which can not only ensure the normal use of the carbon black high-temperature furnace, but also effectively protect the furnace body and ensure that the internal structure of the furnace body is not damaged.

[0118] In order to further explain the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0119] Correspondingly, such as Figure 2 As shown, the present application also provides a high temperature furnace temperature reduction control method, comprising:

[0120] S110: collecting the real-time temperatures of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to a preset time, and determining a real-time temperature set;

[0121] S120: constructing a real-time temperature curve according to the real-time temperature set, calibrating the real-time temperature points on the real-time temperature curve, and calculating the slope of the temperature curve between every two adjacent real-time temperature points;

[0122] S130: judging whether the carbon black high temperature furnace meets the coordinated cooling condition according to the slopes of all temperature curves;

[0123] S140: When the carbon black high temperature furnace meets the coordinated cooling conditions, a cooling treatment plan for the carbon black high temperature furnace is generated according to all real-time temperatures, wherein the cooling module includes an air cooling unit and a water cooling unit.

[0124] In some embodiments of the present application, before collecting the real-time temperatures of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to the preset time and determining the real-time temperature set, it also includes:

[0125] Acquiring characteristic information of the carbon black high temperature furnace, wherein the characteristic information includes the volume, internal component positions, and internal space of the carbon black high temperature furnace;

[0126] Constructing a three-dimensional spatial structure model of the carbon black high temperature furnace according to the characteristic information;

[0127] Determining the boundary conditions of the three-dimensional spatial structure model and constructing a temperature distribution prediction model of the carbon black high-temperature furnace;

[0128] The distribution area and the number of temperature detection points in the carbon black high-temperature furnace are set according to the temperature distribution prediction model.

[0129] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0130] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

[0131] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A high temperature furnace cooling control system, characterized in that: include: The acquisition module is used to collect the real-time temperature of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to the preset time and determine the real-time temperature set; A calculation module, used to construct a real-time temperature curve according to the real-time temperature set, calibrate the real-time temperature points on the real-time temperature curve, and calculate the slope of the temperature curve between every two adjacent real-time temperature points; A judgment module, used to judge whether the carbon black high temperature furnace meets the coordinated cooling condition according to the slopes of all temperature curves; A cooling module, used for generating a cooling treatment scheme for the carbon black high temperature furnace according to all real-time temperatures when the carbon black high temperature furnace meets the coordinated cooling conditions, wherein the cooling module includes an air cooling unit and a water cooling unit; The judgment module is used to extract all temperature curve slopes and determine the cluster center; The judgment module is used to determine the distance value from the slope of each temperature curve to the cluster center based on the K-Means clustering algorithm; The judgment module is used to obtain a preset first distance threshold and a second distance threshold; The judgment module is used to classify all distance values ​​less than the first distance threshold into a first distance set, and classify all distance values ​​greater than the second distance threshold into a second distance set; The judgment module is used to calculate the comprehensive judgment value of the carbon black high temperature furnace according to the first distance set and the second distance set; The judgment module calculates the comprehensive judgment value of the carbon black high temperature furnace according to the following formula: ； Wherein, D is the comprehensive judgment value of the carbon black high temperature furnace, n1 is the number of distance values ​​in the first distance set, Li is the i-th distance value in the first distance set, w1 is the first distance threshold, n2 is the number of distance values ​​in the second distance set, Fi is the i-th distance value in the second distance set, w2 is the second distance threshold, a is the first calculation coefficient, b is the second calculation coefficient, and a+b=1; The judgment module is used to obtain a preset comprehensive judgment threshold; The judgment module is used to judge whether the carbon black high temperature furnace meets the coordinated cooling condition according to the relationship between the comprehensive judgment value and the comprehensive judgment threshold; The judgment module is used to judge that the carbon black high temperature furnace does not meet the coordinated cooling condition when the comprehensive judgment value is less than the comprehensive judgment threshold. The judgment module is used to judge that the carbon black high temperature furnace meets the coordinated cooling condition when the comprehensive judgment value is greater than or equal to the comprehensive judgment threshold; The cooling module is used to compare the values ​​of all real-time temperatures and determine a maximum real-time temperature; The cooling module is used to preset a maximum real-time temperature set, wherein the maximum real-time temperature set includes a first preset maximum real-time temperature t1 and a second preset maximum real-time temperature t2, and t1 <t2; The cooling module is used to pre-set an air cooling power set and a water cooling power set, wherein the air cooling power set includes a first preset air cooling power p1, a second preset air cooling power p1 and a third preset air cooling power p3, and the water cooling power set includes a first preset water cooling power r1, a second preset water cooling power r2 and a third preset water cooling power r3, and p1 <p2<p3,r1<r2<r3; The cooling module is used to select the cooling power of the air cooling unit and the water cooling unit from the air cooling power set and the water cooling power set respectively according to the relationship between the real-time temperature and the maximum real-time temperature set.

2. The high temperature furnace cooling control system according to claim 1, characterized in that: Also includes: A first acquisition module is used to acquire characteristic information of the carbon black high temperature furnace, wherein the characteristic information includes the volume, internal component positions, and internal space of the carbon black high temperature furnace; A first model building module is used to build a three-dimensional spatial structure model of the carbon black high temperature furnace according to the characteristic information; A second model building module is used to determine the boundary conditions of the three-dimensional spatial structure model and build a temperature distribution prediction model of the carbon black high temperature furnace; A deployment module is used to set the distribution area and distribution number of temperature detection points in the carbon black high-temperature furnace according to the temperature distribution prediction model.

3. The high temperature furnace cooling control system according to claim 1, characterized in that: Also includes: A second acquisition module is used to obtain the next use time of the carbon black high temperature furnace and the furnace body strength of the carbon black high temperature furnace; A time evaluation module, used to evaluate the next usage time based on a pre-trained time evaluation model to obtain a time evaluation value; A strength assessment module is used to assess the strength of the furnace body based on a pre-trained strength assessment model to obtain a furnace body strength assessment value; An evaluation value calculation module, used to calculate a comprehensive evaluation value of the time evaluation value and the furnace body strength evaluation value; The regulating module is used to regulate the cooling power of the air cooling unit and the cooling power of the water cooling unit according to the comprehensive evaluation value.

4. The high temperature furnace cooling control system according to claim 3, characterized in that: The adjustment module is specifically used for: The adjustment module is used to preset a comprehensive evaluation value set, wherein the comprehensive evaluation value set includes a first preset comprehensive evaluation value set K1 and a second preset comprehensive evaluation value set K2, and K1 <K2; The adjustment module is used to pre-set an air cooling power correction coefficient set and a water cooling power correction coefficient set, wherein the air cooling power correction coefficient set includes a first preset air cooling power correction coefficient h1, a second preset air cooling power correction coefficient h2 and a third preset air cooling power correction coefficient h3, and the water cooling power correction coefficient set includes a first preset water cooling power correction coefficient g1, a second preset water cooling power correction coefficient g2 and a third preset water cooling power correction coefficient g3, and h1 <h2<h3,g1<g2<g3; The adjustment module is used to select corresponding correction coefficients from the air cooling power correction coefficient set and the water cooling power correction coefficient set according to the relationship between the comprehensive evaluation value and the comprehensive evaluation value set to adjust the cooling power of the air cooling unit and the cooling power of the water cooling unit.

5. A high temperature furnace cooling control method, applied to the high temperature furnace cooling control system according to claim 1, characterized in that: include: Collect the real-time temperatures of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to the preset time, and determine the real-time temperature set; Constructing a real-time temperature curve according to the real-time temperature set, calibrating the real-time temperature points on the real-time temperature curve, and calculating the slope of the temperature curve between every two adjacent real-time temperature points; Judging whether the carbon black high temperature furnace meets the coordinated cooling conditions according to the slopes of all temperature curves; When the carbon black high temperature furnace meets the coordinated cooling conditions, a cooling treatment plan for the carbon black high temperature furnace is generated according to all real-time temperatures; Extract all temperature curve slopes and determine the cluster centers; Determine the distance value from the slope of each temperature curve to the cluster center based on the K-Means clustering algorithm; Obtaining a preset first distance threshold and a second distance threshold; Classify all distance values ​​less than the first distance threshold into a first distance set, and classify all distance values ​​greater than the second distance threshold into a second distance set; A comprehensive judgment value of the carbon black high temperature furnace is calculated according to the first distance set and the second distance set.

6. The high temperature furnace temperature reduction control method according to claim 5, characterized in that: Before collecting the real-time temperatures of all temperature detection points pre-deployed in the carbon black high-temperature furnace according to the preset time and determining the real-time temperature set, it also includes: Acquiring characteristic information of the carbon black high temperature furnace, wherein the characteristic information includes the volume, internal component positions, and internal space of the carbon black high temperature furnace; Constructing a three-dimensional spatial structure model of the carbon black high temperature furnace according to the characteristic information; Determining the boundary conditions of the three-dimensional spatial structure model and constructing a temperature distribution prediction model of the carbon black high-temperature furnace; The distribution area and the number of temperature detection points in the carbon black high-temperature furnace are set according to the temperature distribution prediction model.

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