Method and device for controlling sintering temperature

Abstract

A method and device for controlling a sintering temperature, the method includes: acquiring sintering operation parameter information; determining a target sintering state based on the sintering operation parameter information; and determining sintering temperature control parameter information for instructing adjustment and control of a temperature control adjustment device based on the target sintering state and a preset sintering temperature adjustment rule. The method and device determine a target sintering state according to the sintering operation parameter information, and further use the sintering temperature adjustment rule to analyze and process the sintering operation parameter information and the target sintering state to obtain sintering temperature control parameter information for instructing adjustment and control of a temperature control adjustment device, which is helpful in improving the accurate control of the sintering temperature and improving production quality and production efficiency.

Description

[Technical field]

[0001] The present invention relates to the technical field of sintering, and in particular to a method and device for controlling the sintering temperature. [Background technology]

[0002] In the metallurgical industry, temperature control is an important part of the operation of sintering equipment. Sintering production is a complex industrial process involving mass transfer, heat transfer and physical and chemical reactions, which is influenced by multiple parameters and has random interference factors that are difficult to predict, so the currently commonly used sintering temperature control methods have problems such as low prediction accuracy. Therefore, it is particularly important to provide a sintering temperature control method and device to improve the accurate control of sintering temperature, thereby improving production quality and production efficiency. Summary of the Invention [Problem to be solved by the invention]

[0003] The technical problem to be solved by the present invention is to provide a method and device for controlling a sintering temperature, which determines a target sintering state based on sintering operation parameter information, and further analyzes and processes the sintering operation parameter information and the target sintering state using a sintering temperature adjustment rule to obtain sintering temperature control parameter information for instructing adjustment and control of a temperature control adjustment device, thereby helping to improve accurate control of the sintering temperature, and thereby improving production quality and production efficiency. [Means for solving the problem]

[0004] In order to solve the above technical problem, a first aspect of an embodiment of the present invention is a method for controlling a sintering temperature, Obtaining sintering operation parameter information; determining a target sintering state based on the sintering operation parameter information; and determining sintering temperature control parameter information for instructing the adjustment and control of a temperature control device based on the target sintering state and a preset sintering temperature adjustment rule.

[0005] As an optional embodiment, in a first aspect of the embodiment of the present invention, the sintering operation parameter information includes position parameter information, Determining a target sintering state based on the sintering operation parameter information includes: and determining a target sintering state based on the position parameter information and a preset state judgment rule.

[0006] As an optional embodiment, in a first aspect of the embodiment of the present invention, determining a target sintering state based on the position parameter information and a preset state judgment rule includes: Matching the position parameter information with state section information corresponding to only one sintering state in a preset state section information set to obtain a first matching result; When the first matching result indicates that target state section information matching the position parameter information exists in the state section information set, determining that the sintering state corresponding to the target state section information is the target sintering state.

[0007] As an optional embodiment, in a first aspect of the embodiment of the present invention, determining sintering temperature control parameter information based on the target sintering state and a preset sintering temperature adjustment rule includes: determining a set of target temperature control models including at least one target temperature control model based on the target sintering state; determining sintering temperature control parameter information based on the sintering operation parameter information and the set of target temperature control models.

[0008] As an optional embodiment, in a first aspect of the embodiment of the present invention, determining a target temperature control model set based on the target sintering state includes: Matching state characteristic information corresponding to the target sintering state with model characteristic information corresponding to all temperature control model sets to be matched that are pre-stored in a database to obtain a second matching result; When the second matching result indicates that target model feature information matching the state feature information corresponding to the target sintering state exists in the database, determining that the temperature control model set to be matched corresponding to the target model feature information is the target temperature control model set.

[0009] As an optional embodiment, in a first aspect of the embodiment of the present invention, the sintering operation parameter information includes a sintering temperature, the target temperature control model set includes a temperature control model of a first object of use and a temperature control model of a second object of use; Prior to determining sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set, the method further comprises: obtaining a temperature control threshold value corresponding to the target temperature control model set; Determining sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set includes: determining whether the sintering temperature is less than the temperature control threshold to obtain a temperature determination result; When the temperature judgment result indicates that the sintering temperature is equal to or greater than the temperature control threshold, determining that the second target temperature control model is a target temperature control model; When the temperature determination result indicates that the sintering temperature is less than the temperature control threshold, determining that the first target temperature control model is a target temperature control model; and processing the sintering temperature utilizing the target temperature control model to obtain sintering temperature control parameter information.

[0010] As an optional embodiment, in a first aspect of the embodiment of the present invention, the second target temperature control model includes a first fuzzy model, a second fuzzy model and a parameter adjustment model; Prior to processing the sintering temperature utilizing the target temperature control model to obtain sintering temperature control parameter information, the method further comprises: obtaining a target temperature corresponding to the target temperature control model; Processing the sintering temperature using the target temperature control model to obtain sintering temperature control parameter information, When the target temperature control model is the first target temperature control model, use the target temperature control model to calculate and process the temperature control amount corresponding to the target temperature, the sintering temperature, and the target temperature control model set to obtain sintering temperature control parameter information; If the target temperature control model is the second target temperature control model, processing the target temperature and the sintering temperature to obtain a deviation and a deviation change; processing the deviation and the deviation change using a first fuzzy model to obtain a fuzzy deviation and a fuzzy deviation change; Using a second fuzzy model, perform fuzzy inference calculation on the fuzzy deviation and the fuzzy deviation change to obtain intermediate fuzzy parameters; and processing the deviation, the deviation change, and the intermediate fuzzy parameters using the parameter adjustment model to obtain sintering temperature control parameter information.

[0011] A second aspect of the present invention is a sintering temperature control device, an acquisition module for acquiring sintering operation parameter information; a first determination module for determining a target sintering state based on the sintering operation parameter information; and a second determination module for determining sintering temperature control parameter information for instructing adjustment and control of a temperature control adjustment device based on the target sintering state and a preset sintering temperature adjustment rule.

[0012] As an optional embodiment, in a second aspect of the embodiment of the present invention, the sintering operation parameter information includes position parameter information, A specific method for the first determination module to determine a target sintering state based on the sintering operation parameter information is as follows: A target sintering state is determined based on the position parameter information and a preset state judgment rule.

[0013] As this optional embodiment, in the second aspect of the embodiment of the present invention, the specific method of the first determination module determining the target sintering state based on the position parameter information and the preset state determination rule is as follows: Matching the position parameter information with state section information corresponding to only one sintering state in a preset state section information set to obtain a first matching result; If the first matching result indicates that target state section information matching the position parameter information exists in the state section information set, determining that the sintering state corresponding to the target state section information is the target sintering state.

[0014] As an optional embodiment of the present invention, in a second aspect of the embodiment, the second determination module includes a first determination sub-module and a second determination sub-module, among which: The first determination submodule is used to determine a set of target temperature control models, including at least one target temperature control model, based on the target sintering state; The second determination sub-module is used for determining sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set.

[0015] As this optional embodiment, in the second aspect of the embodiment of the present invention, the specific method of the first determination submodule determining a target temperature control model set based on the target sintering state is as follows: Matching state characteristic information corresponding to the target sintering state with model characteristic information corresponding to all temperature control model sets to be matched that are pre-stored in a database to obtain a second matching result; If the second matching result indicates that target model characteristic information matching the state characteristic information corresponding to the target sintering state exists in the database, the temperature control model set to be matched corresponding to the target model characteristic information is determined to be the target temperature control model set.

[0016] In this optional embodiment, in a second aspect of the embodiment of the present invention, the sintering operation parameter information includes a sintering temperature; the target temperature control model set includes a temperature control model of a first object of use and a temperature control model of a second object of use; The acquisition module is further configured to acquire a temperature control threshold value corresponding to the target temperature control model set before the second determination submodule determines sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set; A specific method for the second determination submodule to determine sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set is as follows: determining whether the sintering temperature is less than the temperature control threshold to obtain a temperature determination result; When the temperature judgment result indicates that the sintering temperature is equal to or greater than the temperature control threshold, determining that the second target temperature control model is a target temperature control model; When the temperature determination result indicates that the sintering temperature is less than the temperature control threshold, determining that the first target temperature control model is a target temperature control model; and processing the sintering temperature using the target temperature control model to obtain sintering temperature control parameter information.

[0017] In this optional embodiment, in a second aspect of the embodiment of the present invention, the second target temperature control model includes a first fuzzy model, a second fuzzy model, and a parameter adjustment model; The acquisition module is further configured to acquire a target temperature corresponding to the target temperature control model before the second determination submodule processes the sintering temperature using the target temperature control model to obtain sintering temperature control parameter information; A specific method of the second determination submodule using the target temperature control model to process the sintering temperature to obtain sintering temperature control parameter information is as follows: When the target temperature control model is the first target temperature control model, use the target temperature control model to calculate and process the temperature control amount corresponding to the target temperature, the sintering temperature, and the target temperature control model set to obtain sintering temperature control parameter information; If the target temperature control model is the second target temperature control model, processing the target temperature and the sintering temperature to obtain a deviation and a deviation change; processing the deviation and the deviation change utilizing the first fuzzy model to obtain a fuzzy deviation and a fuzzy deviation change; Using the second fuzzy model, perform fuzzy inference calculation on the fuzzy deviation and the fuzzy deviation change to obtain intermediate fuzzy parameters; and processing the deviation, the deviation change and the intermediate fuzzy parameters using the parameter adjustment model to obtain sintering temperature control parameter information.

[0018] A third aspect of the present invention is another sintering temperature control device, a memory for storing executable program code; Another sintering temperature control device is disclosed, which includes a processor coupled to the memory and which calls the executable program code stored in the memory to execute some or all of the steps in the sintering temperature control method disclosed in the first aspect of the embodiment of the present invention.

[0019] A fourth aspect of the present invention discloses a computer storage medium having computer instructions stored thereon, the computer instructions being used, when invoked, to perform some or all of the steps of the method for controlling the sintering temperature disclosed in the first aspect of the present embodiment. Effect of the Invention

[0020] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In an embodiment of the present invention, the following steps are performed: obtain sintering operation parameter information; determine a target sintering state based on the sintering operation parameter information; determine sintering temperature control parameter information based on the target sintering state and a preset sintering temperature adjustment rule; and the sintering temperature control parameter information is used to instruct the adjustment and control of a temperature control adjustment device. As can be seen from the above, the present invention determines a target sintering state based on the sintering operation parameter information, and further uses the sintering temperature adjustment rule to analyze and process the sintering operation parameter information and the target sintering state to obtain sintering temperature control parameter information for instructing the adjustment and control of a temperature control adjustment device, which is helpful in improving the accurate control of the sintering temperature, thereby improving production quality and production efficiency. [Brief description of the drawings]

[0021] In order to more clearly describe the technical solutions in the embodiments of the present invention, the following will briefly describe the drawings that need to be used in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without creative efforts.

[0022] [Figure 1] 4 is a flowchart of a method for controlling a sintering temperature disclosed in an embodiment of the present invention. [Diagram 2] 4 is a flowchart of another sintering temperature control method disclosed in an embodiment of the present invention. [Diagram 3] FIG. 2 is a structural schematic diagram of a sintering temperature control device disclosed in an embodiment of the present invention. [Figure 4] FIG. 2 is a structural schematic diagram of another sintering temperature control device disclosed in an embodiment of the present invention. [Diagram 5] FIG. 4 is a structural schematic diagram of yet another sintering temperature control device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0023] In order to make those skilled in the art better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the drawings in the embodiments of the present invention, obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by those skilled in the art without creative labor based on the embodiments of the present invention belong to the technical scope of the present invention.

[0024] The terms "first", "second", and the like in the present specification, claims, and drawings are not intended to describe a particular order, but to distinguish different objects. Furthermore, the terms "comprise", "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the recited steps or units, but may further include unrecited steps or units, or may further include other steps or units inherent to the process, method, product, or device.

[0025] An "embodiment" referred to in this specification means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The term appears in various places in the specification, but does not necessarily refer to the same embodiment, nor is it an embodiment that is exclusively independent or an alternative to other embodiments. It is explicitly or implicitly understood by those skilled in the art that the embodiments described in this specification may be combined with other embodiments.

[0026] The present invention discloses a method and device for controlling a sintering temperature, which determines a target sintering state according to sintering operation parameter information, and further analyzes and processes the sintering operation parameter information and the target sintering state using a sintering temperature adjustment rule to obtain sintering temperature control parameter information for instructing the adjustment and control of a temperature control adjustment device, thereby improving the accurate control of the sintering temperature, thereby improving production quality and production efficiency. Each of these will be described in detail below.

[0027] Example 1 Referring to Fig. 1, Fig. 1 is a flow chart of a sintering temperature control method disclosed in an embodiment of the present invention. Here, the sintering temperature control method shown in Fig. 1 is applied to a control system of a sintering furnace, such as a local server or a cloud server for controlling and managing the sintering temperature, which is not limited to the embodiment of the present invention. As shown in Fig. 1, the sintering temperature control method can include the following operations: Step 101: Obtain sintering operation parameter information. Step 102: Determine a target sintering state based on the sintering operation parameter information. Step 103: Determine sintering temperature control parameter information according to the target sintering state and the preset sintering temperature adjustment rule.

[0028] In the embodiment of the present invention, the sintering temperature control parameter information is used to instruct the adjustment and control of a temperature control adjustment device.

[0029] In an embodiment of the present invention, the sintering operation parameter information is obtained by processing operation monitoring parameter data collected and acquired by a smart sensor built into the sintering furnace.

[0030] Furthermore, the above operation monitoring parameter data is transmitted to a sintering furnace operation control platform through a cloud intelligent gateway, and the sintering furnace operation control platform performs advanced processing on the above operation monitoring parameter data to obtain sintering operation parameter information.

[0031] Optionally, the advanced processing includes performing noise reduction processing on the driving monitoring parameter data, and / or performing unification processing of collection frequency on the driving monitoring parameter data, and / or performing format standardization processing on the driving monitoring parameter data, which are not limited to the embodiments of the present invention.

[0032] Optionally, the sintering temperature control parameter information obtained after the above sintering operation parameter information is processed in the sintering furnace operation control platform is transmitted to a sintering furnace control system and used to instruct the adjustment and control of a temperature control adjustment device.

[0033] As can be seen from the above, by implementing the sintering temperature control method described in the embodiments of the present invention, a target sintering state is determined based on sintering operation parameter information, and the sintering temperature adjustment rule is used to analyze and process the sintering operation parameter information and the target sintering state to obtain sintering temperature control parameter information for instructing the adjustment and control of the temperature control adjustment device, which is helpful in improving the accurate control of the sintering temperature, thereby improving production quality and production efficiency.

[0034] In an optional embodiment, the sintering operation parameter information comprises position parameter information; In the above step 102, determining a target sintering state based on sintering operation parameter information includes: It includes determining a target sintering state based on the position parameter information and a preset state judgment rule.

[0035] In an embodiment of the present invention, the position parameter information is information relating to the position where the sintering object is currently located in the sintering furnace.

[0036] Optionally, the position parameter information includes absolute position parameters and / or relative position parameters, which is not limited in the embodiment of the present invention.

[0037] From the above, it can be seen that by implementing the sintering temperature control method described in the embodiment of the present invention, the position parameter information of the sintering object can be analyzed and processed using the state judgment rule to determine the current target sintered pile body of the sintering object, providing a realization path for determining the target sintering state based on the position parameter information, which is helpful in improving the accurate control of the sintering temperature, thereby improving the production quality and production efficiency.

[0038] In another optional embodiment, determining a target sintering state based on the position parameter information and a preset state judgment rule includes: Matching the position parameter information with state section information corresponding to only one sintering state in a preset state section information set to obtain a first matching result; When the first matching result indicates that target state section information matching the position parameter information exists in the state section information set, determining that the sintering state corresponding to the target state section information is the target sintering state.

[0039] In the embodiment of the present invention, the sintering state includes sintering, and / or pre-sintering, and / or cooling, which is not limited to the embodiment of the present invention.

[0040] Optionally, the state interval information includes a coordinate position interval and / or a relative position interval, which is not limited in the embodiment of the present invention.

[0041] Optionally, said coordinate position interval corresponds to an absolute position parameter.

[0042] Optionally, said relative position interval corresponds to a relative position parameter.

[0043] In this optional example, as an optional embodiment, when the position parameter information is an absolute position parameter and the state interval information is a coordinate position interval, said absolute position parameters include an absolute abscissa and an absolute ordinate.

[0044] A specific method for determining a target sintering state by matching the position parameter information with the state section information is as follows: determining whether the absolute abscissa is within any one of the coordinate position intervals; If the absolute abscissa is within a coordinate position interval, it indicates that the sintering state corresponding to the coordinate position interval is a target sintering state.

[0045] In this optional example, as another optional embodiment, if the position parameter information is a relative position parameter and the state interval information is a relative position interval, said relative position parameter is a distance of the sintering object relative to the door of the sintering furnace.

[0046] A specific method for determining a target sintering state by matching the position parameter information with the state section information is as follows: determining, for any relative position interval, whether the relative position parameter is in the relative position interval; If the relative position parameter is in the relative position interval, it indicates that the sintering state corresponding to the relative position interval is a target sintering state.

[0047] As can be seen from the above, by implementing the sintering temperature control method described in the embodiment of the present invention, the target sintering state in which the sintering object is currently located can be determined by matching the position parameter information with the state section information, which helps to improve the accurate control of the sintering temperature, thereby improving the production quality and production efficiency.

[0048] Example 2 Referring to Fig. 2, Fig. 2 is a flow chart of another sintering temperature control method disclosed in an embodiment of the present invention. Here, the sintering temperature control method shown in Fig. 2 is applied to a sintering furnace control system, such as a local server or a cloud server for controlling and managing the sintering temperature, which is not limited to the embodiment of the present invention. As shown in Fig. 2, the sintering temperature control method can include the following operations: Step 201: Obtain sintering operation parameter information. Step 202: Determine a target sintering state based on the sintering operation parameter information. Step 203: Determine a target temperature control model set based on the target sintering state. In an embodiment of the present invention, the set of target temperature control models includes at least one intended temperature control model. Step 204: Determine sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set.

[0049] In the embodiment of the present invention, for specific technical details and explanations of technical terms in steps 201 and 202, reference can be made to the detailed explanation of steps 101 and 102 in the first embodiment, and they will not be described in detail in the embodiment of the present invention.

[0050] In an embodiment of the present invention, the above-mentioned target temperature control model is built into the sintering furnace cloud control platform and is used to calculate and process sintering operation parameter information, and obtains sintering temperature control parameter information for instructing the adjustment and control of the temperature control adjustment device.

[0051] Optionally, each sintering state corresponds to several intended temperature control models.

[0052] As can be seen from the above, by implementing the sintering temperature control method described in the embodiment of the present invention, a target sintering state is determined according to sintering operation parameter information, and a target temperature control model is determined based on the target sintering state. Finally, the sintering operation parameter information and the target temperature control model are analyzed and processed using the sintering temperature adjustment rule to obtain sintering temperature control parameter information for instructing the adjustment and control of the temperature control adjustment device, which is helpful in improving the accurate control of the sintering temperature, and thereby improving production quality and production efficiency.

[0053] In an optional embodiment, in step 203, determining the target temperature control model set based on the target sintering state includes: Matching the state characteristic information corresponding to the target sintering state with the model characteristic information corresponding to all the temperature control model sets of matching objects pre-stored in the database to obtain a second matching result; When the second matching result indicates that target model feature information matching the state feature information corresponding to the target sintering state exists in the database, determining that the temperature control model set to be matched corresponding to the target model feature information is the target temperature control model set.

[0054] Optionally, the state characteristic information includes state name information, and / or state code information, and / or state IP information, which is not limited in the embodiment of the present invention.

[0055] Optionally, the format of the state characteristic information is AB, where A is state name information and B is state code information.

[0056] Optionally, the model characteristic information includes model name information, and / or model code information, and / or model IP information, which is not limited in the embodiment of the present invention.

[0057] Optionally, the format of the model characteristic information is CD, where C is model name information and D is model code information.

[0058] Optionally, said state name information corresponds to model name information.

[0059] Optionally, said condition code information corresponds to model code information.

[0060] Optionally, said state IP information corresponds to model IP information.

[0061] Optionally, a specific method in which target model characteristic information matching the state characteristic information corresponding to the target sintering state exists in the database includes: In the above state characteristic information, A (state name information) matches C (model name information), and B (state code information) matches D (model code information).

[0062] As can be seen from the above, by implementing the sintering temperature control method described in the embodiment of the present invention, a target temperature control model set can be determined by matching state feature information and model feature information, that is, a target temperature control model set can be determined by matching multiple types of information, which is helpful to improve the matching accuracy, and further helps to improve the accurate control of the sintering temperature, thereby improving production quality and production efficiency.

[0063] In another optional embodiment, the sintering operating parameter information includes a sintering temperature; The target temperature control model set includes a first object of use temperature control model and a second object of use temperature control model; Prior to determining the sintering temperature control parameter information based on the sintering operation parameter information and the set of target temperature control models, the method further comprises: obtaining a temperature control threshold value corresponding to a target temperature control model set; Determining sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set includes: Determining whether the sintering temperature is less than a temperature control threshold to obtain a temperature determination result; When the temperature determination result indicates that the sintering temperature is equal to or greater than the temperature control threshold, determining that the second target temperature control model is the target temperature control model; When the temperature determination result indicates that the sintering temperature is less than the temperature control threshold, determining that the first target temperature control model is a target temperature control model; and processing the sintering temperature utilizing the target temperature control model to obtain sintering temperature control parameter information.

[0064] Optionally, each target temperature control model set corresponds to only one temperature control threshold value.

[0065] Optionally, the sintering temperature is a temperature measured at a location of the current sintering target from a sintering furnace based on a set sampling period.

[0066] Optionally, the sampling period is any value between 0.01 seconds and 1 second.

[0067] Preferably, the sampling period is 0.1 seconds.

[0068] Optionally, the temperature control threshold is selected from candidate thresholds pre-stored in a database.

[0069] Optionally, the number of candidate thresholds is three.

[0070] Optionally, the first target-use temperature control model and the second target-use temperature control model are intelligent temperature control models.

[0071] As can be seen from the above, by implementing the sintering temperature control method described in the embodiment of the present invention, the sintering temperature and the temperature control threshold value are determined and analyzed to determine a target temperature control model, and the target temperature control model is further used to process the sintering temperature to obtain sintering temperature control parameter information, which provides an implementation path for determining the sintering temperature control parameter information, which is further helpful in improving the accurate control of the sintering temperature, and thereby improving production quality and production efficiency.

[0072] In yet another optional embodiment, the second target temperature control model includes a first fuzzy model, a second fuzzy model, and a parameter adjustment model; Prior to utilizing the target temperature control model to process the sintering temperature to obtain the sintering temperature control parameter information, the method further comprises: obtaining a target temperature corresponding to a target temperature control model; Processing the sintering temperature using a target temperature control model to obtain sintering temperature control parameter information, When the target temperature control model is a first target temperature control model, use the target temperature control model to calculate and process the target temperature, the sintering temperature, and the temperature control amount corresponding to the target temperature control model set to obtain sintering temperature control parameter information; If the target temperature control model is a second target temperature control model, process the target temperature and the sintering temperature to obtain a deviation and a deviation change; processing the deviation and deviation change using the first fuzzy model to obtain a fuzzy deviation and a fuzzy deviation change; Using the second fuzzy model, perform fuzzy inference calculation on the fuzzy deviation and the fuzzy deviation change to obtain intermediate fuzzy parameters; and utilizing the parameter adjustment model to process the deviation, deviation change and intermediate fuzzy parameters to obtain sintering temperature control parameter information.

[0073] Optionally, said sintering temperature control parameter information comprises a control quantity for controlling a temperature control regulator.

[0074] Optionally, the second target temperature control model includes a first fuzzy model, and / or a second fuzzy model, and / or a parameter adjustment model, which is not limited to this embodiment of the present invention.

[0075] In this optional embodiment, as an optional embodiment, when the target temperature control model is the first target temperature control model, the calculation method of the controlled variable u is as follows:

number

[0076] Optionally, the normalization factor is a ratio of the target temperature to the difference between the target temperature and the sintering temperature.

[0077] Optionally, said temperature control amount is selected from pre-set control amounts pre-stored in a database.

[0078] Optionally, the number of the preset control amounts is three.

[0079] Optionally, the preset control amount is greater than zero.

[0080] In this optional embodiment, as another optional embodiment, when the target temperature control model is the second target temperature control model, the calculation method of the controlled variable u is as follows: Calculating the deviation e between the target temperature and the sintering temperature; Differentiate the deviation e to obtain the temperature deviation change ec, performing a fuzzification process on the deviation e and the deviation change ec according to a first fuzzy model set in advance to obtain a fuzzy deviation E and a fuzzy deviation change EC; Using a second fuzzy model that is preset, perform fuzzy inference calculations on the fuzzy deviation E and the fuzzy deviation change EC to obtain intermediate fuzzy parameters; Using the parameter adjustment model, the deviation, deviation change and intermediate fuzzy parameters are adjusted to obtain the controlled variable u.

[0081] Optionally, the second fuzzy model includes a first fuzzy rule table and a second fuzzy rule table.

[0082] Optionally, the fuzzy subsets corresponding to each variable in said first fuzzy rule table are as follows:

number

[0083] Furthermore, the fuzzy linguistic variables to which the above fuzzy subsets correspond in order are as follows:

number

[0084] Optionally, the first fuzzy rule table uses triangular membership functions commonly used in engineering to establish relationships between the defined universe of discourse and the fuzzy linguistic variables.

[0085] Optionally, the fuzzy subsets corresponding to each variable in said second fuzzy rule table are as follows:

number

[0086] Furthermore, the fuzzy linguistic variables to which the above fuzzy subsets correspond in order are as follows:

number

[0087] Optionally, the second fuzzy rule table uses triangular membership functions commonly used in engineering to establish relationships between the defined universe of discourse and the fuzzy linguistic variables.

[0088] Optionally, the intermediate fuzzy parameter is a first intermediate parameter k 1 , the second intermediate parameter k 2 , the third intermediate parameter k 3 and the fourth intermediate parameter k 4 Includes.

[0089] Optionally, the first intermediate parameter k 1 , the second intermediate parameter k 2 and the third intermediate parameter k 3 is obtained by performing fuzzy inference calculations on the fuzzy deviation E and the fuzzy deviation change EC using the first fuzzy rule table.

[0090] Optionally, the fourth intermediate parameter k 3 , the second fuzzy rule table is used to perform fuzzy inference calculations on the fuzzy deviation E and the fuzzy deviation change EC.

[0091] Optionally, the parameter adjustment model includes a first adjustment model and a second adjustment model.

[0092] Optionally, the first adjustment model is utilized to calculate a fourth intermediate parameter k 3 Calculate the self-adjusting parameter k z get.

[0093] Optionally, a specific method of the above first adjustment model is as follows:

number

[0094] Optionally, a second adjustment model is utilized to adjust the first intermediate parameter k 1 , the second intermediate parameter k 2 , the third intermediate parameter k 3 and the self-adjusting parameter k z To obtain the control variable u,

[0095] Optionally, a specific method of the above second adjustment model is as follows:

number

[0096] Here, t is a time parameter.

[0097] Optionally, the fundamental universe of discourse for the deviation e is e={-10, 10}.

[0098] Optionally, the base universe of discourse for the deviation change ec is ec={-20,20}.

[0099] Optionally, the first intermediate parameter k 1 The quantification domain of discussion is k 1 ={-3,3}.

[0100] Optionally, the second intermediate parameter k 2 The quantification domain of discussion is k 2 ={-0.006,0.006}.

[0101] The third intermediate parameter k 3 The quantification domain of discussion is k 3 ={-6,6}.

[0102] Optionally, the fourth intermediate parameter k 4 The quantification domain of discussion is k 4 ={-4,4}.

[0103] Optionally, the first fuzzy model includes a deviation fuzzy model and a deviation rate fuzzy model.

[0104] Optionally, a deviation fuzzy model is used to determine the deviation e and the self-adjusting parameter k z and the first quantification coefficient k e is processed to obtain the fuzzy deviation E.

[0105] Optionally, a specific method for calculating the fuzzy deviation E using the above deviation fuzzy model is as follows:

number

[0106] Optionally, the first quantification factor k e The quantification coefficient of the domain of discussion is k e ={-2,2}.

[0107] Optionally, a deviation rate fuzzy model is used to determine the deviation change ec, the self-adjusting parameter k z and the second quantification coefficient k ec is processed to obtain the fuzzy deviation change EC.

[0108] Optionally, a specific method for calculating the fuzzy deviation change EC using the above deviation rate fuzzy model is as follows:

number

[0109] Optionally, the second quantification factor k ec The quantification domain of discussion is k e ={-10,10}.

[0110] As can be seen from the above, by implementing the sintering temperature control method described in the embodiment of the present invention, the sintering temperature and the target temperature can be processed comprehensively using the target temperature control model to obtain sintering temperature control parameter information, which is more helpful in improving the accurate control of the sintering temperature, thereby improving production quality and production efficiency.

[0111] Example 3 Referring to Fig. 3, Fig. 3 is a structural schematic diagram of a sintering temperature control device disclosed in an embodiment of the present invention. Here, the device shown in Fig. 3 can be applied to a sintering furnace control system, such as a local server or a cloud server for controlling and managing the sintering temperature, which is not limited to the embodiment of the present invention. As shown in Fig. 3, the device: an acquisition module 301 for acquiring sintering operation parameter information; a first determination module 302 for determining a target sintering state based on the sintering operation parameter information; and a second determination module 303 for determining sintering temperature control parameter information for instructing the adjustment and control of the temperature control adjustment device based on the target sintering state and a preset sintering temperature adjustment rule.

[0112] As can be seen from the above, by implementing the sintering temperature control device shown in FIG. 3, a target sintering state is determined based on sintering operation parameter information, and further, by using the sintering temperature adjustment rule, the sintering operation parameter information and the target sintering state are analyzed and processed to obtain sintering temperature control parameter information for instructing the adjustment and control of the temperature control adjustment device, which is helpful in improving the accurate control of the sintering temperature, thereby improving production quality and production efficiency.

[0113] In another optional embodiment, as shown in FIG. 4, the sintering operation parameter information includes position parameter information; A specific method for the first determination module 302 to determine the target sintering state based on the sintering operation parameter information is as follows: The target sintering state is determined based on the position parameter information and a preset state judgment rule.

[0114] From the above, it can be seen that by implementing the sintering temperature control device described in Figure 4, the state judgment rule can be used to analyze and process the position parameter information of the sintering object to determine the current target sintering pile body of the sintering object, providing a realization path for determining the target sintering state based on the position parameter information, which is helpful in improving the accurate control of the sintering temperature, thereby improving the production quality and production efficiency.

[0115] In yet another optional embodiment, as shown in FIG. 4, a specific method for the first determination module 302 to determine the target sintering state based on the position parameter information and the preset state determination rule is as follows: Matching the position parameter information with state section information corresponding to only one sintering state in a preset state section information set to obtain a first matching result; If the first matching result indicates that target state section information matching the position parameter information exists in the state section information set, the sintering state corresponding to the target state section information is determined to be the target sintering state.

[0116] As can be seen from the above, by implementing the sintering temperature control device described in Figure 4, the target sintering state in which the sintering object is currently located can be determined by matching the position parameter information and the state section information, which is helpful in improving the accurate control of the sintering temperature, thereby improving the production quality and production efficiency.

[0117] In yet another optional embodiment, as shown in FIG. 4 , the second determining module 303 includes a first determining sub-module and a second determining sub-module, among which: The first determination submodule 3031 is used to determine a target temperature control model set including at least one target temperature control model based on a target sintering state; The second determining sub-module 3032 is used for determining sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set.

[0118] As can be seen from the above, by implementing the sintering temperature control device shown in FIG. 4, a target sintering state is determined according to sintering operation parameter information, and a target temperature control model is determined based on the target sintering state. Finally, the sintering operation parameter information and the target temperature control model are analyzed and processed using the sintering temperature adjustment rule to obtain sintering temperature control parameter information for instructing the adjustment and control of the temperature control adjustment device, which is helpful in improving the accurate control of the sintering temperature, and thereby improving the production quality and production efficiency.

[0119] In yet another optional embodiment, as shown in FIG. 4 , a specific method of the first determination submodule 3031 determining the target temperature control model set based on the target sintering state is as follows: Matching the state characteristic information corresponding to the target sintering state with the model characteristic information corresponding to all the temperature control model sets of matching objects pre-stored in the database to obtain a second matching result; If the second matching result indicates that target model characteristic information matching the state characteristic information corresponding to the target sintering state exists in the database, the temperature control model set to be matched corresponding to the target model characteristic information is determined to be the target temperature control model set.

[0120] As can be seen from the above, by implementing the sintering temperature control device described in FIG. 4, a target temperature control model set can be determined by matching state feature information and model feature information, that is, a target temperature control model set can be determined by matching multiple types of information, which is helpful to improve the matching accuracy, and further to improve the accurate control of the sintering temperature, thereby improving production quality and production efficiency.

[0121] In another optional embodiment, as shown in FIG. 4, the sintering operating parameter information includes a sintering temperature; the target temperature control model set includes a temperature control model of a first object of use and a temperature control model of a second object of use; The acquisition module 301 is further used for obtaining a temperature control threshold value corresponding to the target temperature control model set before the second determination submodule 3032 determines the sintering temperature control parameter information according to the sintering operation parameter information and the target temperature control model set; A specific method for the second determination submodule 3032 to determine the sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set is as follows: Determining whether the sintering temperature is less than a temperature control threshold to obtain a temperature determination result; When the temperature determination result indicates that the sintering temperature is equal to or greater than the temperature control threshold, determining that the second target temperature control model is the target temperature control model; When the temperature determination result indicates that the sintering temperature is less than the temperature control threshold, determining that the first target temperature control model is a target temperature control model; and processing the sintering temperature using the target temperature control model to obtain sintering temperature control parameter information.

[0122] As can be seen from the above, by implementing the sintering temperature control device shown in FIG. 4, the sintering temperature and the temperature control threshold value are determined and analyzed to determine a target temperature control model, and the target temperature control model is further used to process the sintering temperature to obtain sintering temperature control parameter information, which provides an implementation path for determining the sintering temperature control parameter information, which is further helpful in improving the accurate control of the sintering temperature, thereby improving production quality and production efficiency.

[0123] In yet another optional embodiment, as shown in FIG. 4, the second target temperature control model includes a first fuzzy model, a second fuzzy model, and a parameter adjustment model; The obtaining module 301 is further used to obtain a target temperature corresponding to the target temperature control model, before the second determining sub-module 3032 uses the target temperature control model to process the sintering temperature to obtain the sintering temperature control parameter information; A specific method for the second determination sub-module 3032 to use the target temperature control model to process the sintering temperature to obtain the sintering temperature control parameter information is as follows: When the target temperature control model is a first target temperature control model, use the target temperature control model to calculate and process the target temperature, the sintering temperature, and the temperature control amount corresponding to the target temperature control model set to obtain sintering temperature control parameter information; If the target temperature control model is a second target temperature control model, process the target temperature and the sintering temperature to obtain a deviation and a deviation change; processing the deviation and deviation change using the first fuzzy model to obtain a fuzzy deviation and a fuzzy deviation change; Using the second fuzzy model, perform fuzzy inference calculation on the fuzzy deviation and the fuzzy deviation change to obtain intermediate fuzzy parameters; and utilizing the parameter adjustment model to process the deviation, deviation change and intermediate fuzzy parameters to obtain sintering temperature control parameter information.

[0124] As can be seen from the above, by implementing the sintering temperature control device described in FIG. 4, the sintering temperature and the target temperature can be processed comprehensively using the target temperature control model to obtain the sintering temperature control parameter information, which is further helpful in improving the accurate control of the sintering temperature, and thereby improving the production quality and production efficiency.

[0125] Example 4 Referring to Fig. 5, Fig. 5 is a structural schematic diagram of yet another sintering temperature control device disclosed in an embodiment of the present invention. Here, the device shown in Fig. 5 can be applied to a sintering furnace control system, such as a local server or a cloud server for controlling and managing the sintering temperature, which is not limited to the embodiment of the present invention. As shown in Fig. 5, the device: A memory 401 for storing executable program code; A processor 402 coupled to the memory 401, The processor 402 is used to call the executable program code stored in the memory 401 to execute the steps in the sintering temperature control method described in the first or second embodiment.

[0126] Example 5 An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, the computer program causing a computer to execute the steps of the sintering temperature control method described in the first or second embodiment.

[0127] Example 6 An embodiment of the present invention discloses a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to execute the steps of the sintering temperature control method described in embodiment 1 or 2.

[0128] The above-mentioned embodiment of the device is merely illustrative, and the modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed among multiple network modules. According to actual needs, some or all of the modules may be selected to realize the purpose of the solution of the embodiment. Those skilled in the art can understand and implement it without any creative effort.

[0129] From the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be realized by software and a necessary general-purpose hardware platform, but of course, can also be realized by hardware. Based on this knowledge, the substantial or prior art contribution of the above technical solution can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, the storage medium including a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically-Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage device, a magnetic disk storage device, a magnetic tape storage device, or any other computer-readable medium for carrying or storing data.

[0130] The final point to be explained is as follows: The sintering temperature control method and device disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only for describing the technical solutions of the present invention, and are not intended to limit the same, and the present invention has been described in detail with reference to the above embodiments. However, those skilled in the art can still modify the technical solutions described in the above embodiments, or make equivalent substitutions for some of the technical features thereof, and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling a sintering temperature, comprising the steps of: Obtaining sintering operation parameter information; determining a target sintering state based on the sintering operation parameter information; determining sintering temperature control parameter information for instructing the adjustment and control of a temperature control device based on the target sintering state and a preset sintering temperature adjustment rule; the sintering temperature control parameter information includes a control amount for controlling the temperature control adjustment device, Determining the sintering temperature control parameter information based on the target sintering state and a preset sintering temperature adjustment rule, determining a set of target temperature control models including at least one target temperature control model based on the target sintering state; determining the sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set; determining the target temperature control model set based on the target sintering state, Matching state characteristic information corresponding to the target sintering state with model characteristic information corresponding to all temperature control model sets to be matched that are pre-stored in a database to obtain a second matching result; When the second matching result indicates that target model characteristic information matching the state characteristic information corresponding to the target sintering state exists in the database, determining that the temperature control model set to be matched corresponding to the target model characteristic information is the target temperature control model set; The sintering operation parameter information includes a sintering temperature; the target temperature control model set includes a temperature control model of a first object of use and a temperature control model of a second object of use; Prior to determining the sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set, the method further comprises: obtaining a temperature control threshold value corresponding to the target temperature control model set; Determining the sintering temperature control parameter information based on the sintering operation parameter information and the target temperature control model set includes: determining whether the sintering temperature is less than the temperature control threshold to obtain a temperature determination result; When the temperature judgment result indicates that the sintering temperature is equal to or greater than the temperature control threshold, determining that the second target temperature control model is a target temperature control model; When the temperature determination result indicates that the sintering temperature is less than the temperature control threshold, determining that the first target temperature control model is a target temperature control model; and processing the sintering temperature utilizing the target temperature control model to obtain the sintering temperature control parameter information. Prior to processing the sintering temperature using the target temperature control model to obtain the sintering temperature control parameter information, the method further includes obtaining a target temperature corresponding to the target temperature control model; Processing the sintering temperature using the target temperature control model to obtain the sintering temperature control parameter information includes, when the target temperature control model is the first target temperature control model, calculating and processing the target temperature, the sintering temperature, and a temperature control amount using the target temperature control model to obtain the sintering temperature control parameter information including a first control amount; The first control amount is calculated using the following first formula: [0010] In the first formula, u is the controlled variable, λ is a normalization coefficient, and x1 is the temperature controlled variable corresponding to the target temperature control model; the normalization factor being a ratio of the target temperature to a difference between the target temperature and the sintering temperature; The temperature control amount is selected from preset control amounts previously stored in the database, Processing the sintering temperature using the target temperature control model to obtain the sintering temperature control parameter information includes, when the target temperature control model is the second target temperature control model, processing the target temperature and the sintering temperature to obtain a deviation and a deviation change, and processing the deviation and the deviation change using the target temperature control model to obtain the sintering temperature control parameter information including a second controlled variable; the second target temperature control model includes a first fuzzy model, a second fuzzy model, and a parameter adjustment model; The second control amount is Calculating the deviation, which is the difference between the target temperature and the sintering temperature; Differentiating the deviation to obtain the deviation change; performing a fuzzification process on the deviation and the deviation change using the first fuzzy model to obtain a fuzzy deviation and a fuzzy deviation change; Using the second fuzzy model, perform fuzzy inference calculation on the fuzzy deviation and the fuzzy deviation change to obtain intermediate fuzzy parameters; The deviation, the deviation change, and the intermediate fuzzy parameters are adjusted using the parameter adjustment model. A method for controlling a sintering temperature.

2. The sintering operation parameter information includes position parameter information; Determining a target sintering state based on the sintering operation parameter information includes:

2. The method for controlling a sintering temperature according to claim 1, further comprising determining the target sintering state based on the position parameter information and a preset state judgment rule.

3. Determining the target sintering state based on the position parameter information and a preset state judgment rule, Matching the position parameter information with state section information corresponding to only one sintering state in a preset state section information set to obtain a first matching result; 3. The sintering temperature control method according to claim 2, further comprising: determining, when the first matching result indicates that target state section information matching the position parameter information exists in the state section information set, that the sintering state corresponding to the target state section information is the target sintering state.

4. When the target temperature control model is the second target temperature control model, the second fuzzy model includes a first fuzzy rule table and a second fuzzy rule table; The fuzzy subsets corresponding to each variable in the first fuzzy rule table are as follows: [0025] The fuzzy linguistic variables to which the fuzzy subsets correspond in turn are as follows: [0030] said first fuzzy rule table using triangular membership functions used in engineering to establish relationships between a given universe of discourse and fuzzy linguistic variables; The fuzzy subsets corresponding to each variable in the second fuzzy rule table are as follows: [0045] The fuzzy linguistic variables to which the fuzzy subsets correspond in turn are as follows: [0050] said second fuzzy rule table using triangular membership functions used in engineering to establish relationships between predetermined universes of discourse and fuzzy linguistic variables; the intermediate fuzzy parameters include a first intermediate parameter, a second intermediate parameter, a third intermediate parameter, and a fourth intermediate parameter; the first intermediate parameter, the second intermediate parameter, and the third intermediate parameter are obtained by performing a fuzzy inference calculation on the fuzzy deviation and the fuzzy deviation change by utilizing the first fuzzy rule table; the fourth intermediate parameter and the second fuzzy rule table are used to perform a fuzzy inference calculation on the fuzzy deviation and the fuzzy deviation change; The method for controlling the sintering temperature according to claim 1 .

5. The parameter adjustment model includes a first adjustment model and a second adjustment model, Calculating the fourth intermediate parameter using the first adjustment model to obtain a self-adjusting parameter; The specific method of the first adjustment model is as follows: [006] The k 4 is a fourth intermediate parameter, and the k z is the self-adjusting parameter; Calculating a first intermediate parameter, a second intermediate parameter, a third intermediate parameter and a self-adjusting parameter using the second adjustment model to obtain the controlled variable; The specific method of the second adjustment model is as follows: [0070] where t is a time parameter, k 1 is the first intermediate parameter, k 2 is the second intermediate parameter, and k 3 is the third intermediate parameter.

5. The method for controlling the sintering temperature according to claim 4.

6. The fundamental universe of discourse of the deviation is e = {-10, 10}, The fundamental discourse universe of the deviation change is ec = {-20, 20}, The quantification universe of discourse for the first intermediate parameter is k 1 ={−3, 3}; The quantification universe of the second intermediate parameter is k 2 ={−0.006, 0.006}; The quantification universe of the third intermediate parameter is k 3 ={−6, 6}; The quantification universe of the fourth intermediate parameter is k 4 ={−4, 4}; the first fuzzy model includes a deviation fuzzy model and a deviation rate fuzzy model; utilizing the deviation fuzzy model to process the deviation, the self-adjusting parameter and the first quantification coefficient to obtain the fuzzy deviation; A specific method for calculating the fuzzy deviation by using the deviation fuzzy model is as follows: [0080] where k e is the first quantification coefficient, E is the fuzzy deviation, The quantification coefficient universe of discourse of the first quantification coefficient is k e ={−2,2}; processing the deviation change, the self-adjusting parameter k z and the second quantification coefficient utilizing the deviation rate fuzzy model to obtain the fuzzy deviation change EC; A specific method for calculating the fuzzy deviation change by using the deviation rate fuzzy model is as follows: [0090] where k ec is the second quantification coefficient, ec is the deviation change, and EC is the fuzzy deviation change; The quantification universe of the second quantification coefficient is k ec ={−10, 10}. The method for controlling the sintering temperature according to claim 5 .

7. A sintering temperature control device, comprising: a memory for storing executable program code; A processor coupled to the memory for calling the executable program code stored in the memory to execute the sintering temperature control method according to any one of claims 1 to 6.

8. A computer storage medium having computer instructions stored thereon, the computer storage medium being adapted to carry out the method for controlling a sintering temperature according to any one of claims 1 to 6 when the computer instructions are called up.

Images