A complex copper concentrate batching method, product, medium and equipment

Abstract

The present invention discloses a complex copper concentrate batching method, product, medium and equipment, and relates to the field of metallurgical technology. The method comprises: performing phase analysis on a plurality of copper concentrates to be batched to obtain thermodynamic data of each phase; constructing a batching calculation model and constraint conditions based on the thermodynamic data of each phase; solving the batching calculation model based on the constraint conditions, and outputting the optimal batching ratio of a plurality of copper concentrates; and performing actual batching according to the optimal batching ratio. The complex copper concentrate batching method, product, medium and equipment provided by the present invention can realize the scientific and accurate calculation of the optimal batching ratio of complex copper concentrate, thereby improving the copper smelting efficiency and the stability of the smelting process.

Description

Technical Field

[0001] The invention relates to the technical field of metallurgy, and in particular to a complex copper concentrate batching method, product, medium and equipment. Background Art

[0002] Copper is an important industrial metal, widely used in technical fields such as electricity, electronics, and mechanical manufacturing. At present, copper smelting mainly adopts pyrometallurgy. Pyrometallurgy mainly includes two processes: smelting and blowing. Among them, smelting is the process of converting copper concentrate into matte. However, at this stage, copper concentrate resources are gradually scarce, and multi-source complex copper concentrate has become the source of raw materials for various copper smelting enterprises. How to reasonably optimize the proportion of each copper concentrate into the furnace has become a difficult problem to solve. Most companies make rough ore blending based on the proportion of elements contained in each copper concentrate. However, this method has the problem of large material fluctuations and difficult to control heat balance in actual application, which leads to unfavorable factors such as large fluctuations in smelting temperature and low thermal energy utilization. At the same time, the physical composition of each element in the copper concentrate is complex. It is difficult to achieve stable operation of the smelting process by calculating the ore blending based on the proportion of elements alone. At the same time, the different heat absorption and release conditions of different phases bring great instability in heat balance. Summary of the invention

[0003] The purpose of the present invention is to provide a complex copper concentrate batching method, product, medium and equipment, which can realize the scientific and accurate calculation of the optimal batching ratio of complex copper concentrate, thereby improving the copper smelting efficiency and the stability of the smelting process operation.

[0004] To achieve the above object, the present invention provides the following solutions:

[0005] A complex copper concentrate batching method, comprising:

[0006] Conduct phase analysis on various copper concentrates to be used as ingredients and obtain thermodynamic data of each phase;

[0007] Based on the thermodynamic data of each phase, an ore blending calculation model and constraint conditions are constructed; the ore blending calculation model takes the shortest operating time and the lowest operating cost as the objective function;

[0008] Solve the ore blending calculation model based on the constraint conditions and output the optimal proportion of various copper concentrates;

[0009] The actual ingredients are mixed according to the optimal proportion of ingredients.

[0010] Optionally, the phase analysis of the various copper concentrates to be prepared to obtain thermodynamic data of each phase specifically includes:

[0011] Using X-ray diffraction, X-ray fluorescence spectroscopy or X-ray photoelectron spectroscopy technology to perform phase analysis on various copper concentrates to be prepared, and obtain phase analysis results;

[0012] According to the phase analysis results and preset reaction conditions, the thermodynamic data of each phase during chemical reaction is calculated through the thermodynamic calculation database Factsage.

[0013] Optionally, the running time objective function of the ore allocation calculation model is ;in, For the i Stockpile of copper concentrate; is the total mass of copper concentrate entering the furnace per hour; For the i The proportion of the ingredients of the copper concentrate; min means taking the minimum value;

[0014] The operating cost objective function of the ore matching calculation model is: ;in, For the i The cost of copper concentrate; m is the number of copper concentrate types.

[0015] Optionally, the constraints of the ore blending calculation model include heat balance constraints, main element constraints and impurity element constraints.

[0016] Optionally, the heat balance constraint formula includes and ;in, It is the heat expenditure in the smelting process of various copper concentrates; It is the heat income during the smelting process of various copper concentrates; Unit phase j The decomposition absorbs heat; For the i Phases in copper concentrate j The mass proportion of For physical phase j The unit molar mass of Unit phase j The temperature rise absorbs heat; The unit hour phase j The quality of the reaction products; Unit phase j The physical heat taken away by the reaction products; Dissipate heat for boilers; For the i Thermal income of copper concentrate; is the heat of reaction for slagging per unit FeO; is the output mass of copper slag per hour; is the mass proportion of Fe in copper slag; is the mass proportion of Fe3O4 in copper slag; is the mass of fuel consumed per hour; The heat released per unit of fuel combustion.

[0017] Optionally, the main element constraint formula is ;in, is the mass proportion of the main elements in the raw materials entering the furnace; It is the target value of the main element content in the raw materials entering the furnace.

[0018] Optionally, the impurity element constraint formula is: ;in, For the i The content of a certain impurity element in a copper concentrate; It is the limit value of a certain impurity element.

[0019] A computer program product comprises a computer program, which implements the complex copper concentrate batching method when executed by a processor.

[0020] A computer-readable storage medium stores a computer program, which implements the complex copper concentrate batching method when executed by a processor.

[0021] A computer device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the complex copper concentrate batching method.

[0022] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0023] The present invention provides a complex copper concentrate batching method, product, medium and equipment, which performs phase analysis on a variety of copper concentrates to be batched, and determines the ore batching calculation model and constraint conditions based on the thermodynamic data of each phase obtained by the phase analysis, thereby optimizing the batching ratio, obtaining the optimal batching ratio of a variety of copper concentrates, and then performing actual batching based on the optimal batching ratio, thereby achieving stable operation of the smelting process. The batching method based on the physical phase of the present invention can control production indicators such as coal blending rate, matte grade, and impurity element content at the feed end, can ensure the stable operation of the smelting process, and achieve an efficient, energy-saving, and environmentally friendly copper smelting process. Therefore, the complex copper concentrate batching method, product, medium and equipment provided by the present invention can realize the scientific and accurate calculation of the optimal batching ratio of complex copper concentrates, thereby improving the copper smelting efficiency and the stability of the smelting process. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 The present invention provides a schematic flow chart of the complex copper concentrate batching method. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] The purpose of the present invention is to provide a complex copper concentrate batching method, product, medium and equipment, which can realize the scientific and accurate calculation of the optimal batching ratio of complex copper concentrate, thereby improving the copper smelting efficiency and the stability of the smelting process operation.

[0028] The terms used in this invention are:

[0029] "Prepared from" is synonymous with "comprising". The terms "comprising", "including", "having", "containing" or any other variation thereof, as used herein, are intended to cover a non-exclusive inclusion. For example, a composition, process, method, article, or apparatus comprising the listed elements is not necessarily limited to only those elements, but may include other elements not expressly listed or inherent to such composition, process, method, article, or apparatus. The conjunction "consisting of" excludes any unspecified element, step, or component.

[0030] In the embodiments, unless otherwise specified, the parts and percentages are all measured by mass. "Parts by mass" refers to the basic unit of measurement that represents the mass ratio relationship of multiple components. 1 part can represent any unit mass, such as 1g, 2.689g, etc. Assuming that the mass parts of component A are a parts and the mass parts of component B are b parts, it means that the ratio of the mass of component A to the mass of component B is a:b. Alternatively, it means that the mass of component A is aK and the mass of component B is bK (K is an arbitrary number, indicating a multiple factor). It should not be misunderstood that, unlike the mass parts, the sum of the mass parts of all components is not limited to 100 parts.

[0031] “And / or” is used to indicate that one or both of the stated situations may occur, for example, A and / or B includes (A and B) and (A or B).

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0033] like Figure 1 As shown, the complex copper concentrate batching method disclosed in the present invention comprises:

[0034] Step 1: Perform phase analysis on various copper concentrates to obtain thermodynamic data of each phase.

[0035] Specifically, the present invention uses X-ray diffraction, X-ray fluorescence spectroscopy or X-ray photoelectron spectroscopy technology and other means to perform phase analysis on a variety of copper concentrates to be prepared, and obtain phase analysis results. Because each phase has different chemical compositions, the oxidation decomposition reactions that occur during the smelting process are also different. It is necessary to collect and calculate the thermodynamic data of chemical reactions of all phases contained in the copper concentrate, such as the absorbed heat and released heat data of the reaction. Therefore, according to the phase analysis results and the preset reaction conditions, the thermodynamic data of each phase during the chemical reaction is calculated through the thermodynamic calculation database Factsage. Among them, the thermodynamic data of the phases include: the heat capacity of the phases, the reaction enthalpy change of the chemical reactions that occur during the smelting process, etc. The different copper concentrates contain different copper contents.

[0036] In addition, after collecting the thermodynamic data of the chemical reactions of all phases in the copper concentrate during the smelting process, a copper concentrate mineral phase thermodynamic database can be established. When copper concentrates from other sources are subsequently proportioned, after obtaining the phase analysis results, the thermodynamic data of the relevant phases can be directly read from the copper concentrate mineral phase thermodynamic database for use, which greatly reduces the preparation time for the initial proportioning.

[0037] After obtaining the thermodynamic data of each phase during chemical reaction, the present invention calculates the heat absorption and heat release of the copper concentrate per unit mass during smelting according to the heat balance relationship of the smelting process, that is, heat input = heat release of phase oxidation + heat release of slag formation + heat release of fuel combustion + physical heat brought into the phase, and heat expenditure = heat absorption of phase decomposition + heat absorption of phase temperature rise + physical heat taken away by the product + heat dissipation of the boiler. A ore blending calculation model is established with heat balance, operation time of copper concentrate smelting, operation cost, impurity elements and main elements as the batching constraints, as shown below.

[0038] Step 2: Construct the ore blending calculation model and constraints based on the thermodynamic data of each phase.

[0039] Specifically, the ore blending calculation model of the present invention takes the shortest operating time and the lowest operating cost as the objective functions, and the objective functions are:

[0040] (1)

[0041] (2)

[0042] in, For the i Stockpile of copper concentrate; is the total mass of copper concentrate entering the furnace per hour; For the i The proportion of copper concentrate ingredients, i =1, 2, 3, 4, ..., m , m is a positive integer ≥ 2, m is the number of copper concentrate types; min means taking the minimum value; For the i The cost of copper concentrate.

[0043] The constraints of the ore blending calculation model described in the present invention include heat balance constraints, main element constraints, and impurity element constraints, as shown below.

[0044] The calculation model for ore blending with heat balance as the batching constraint is:

[0045] (3)

[0046] in, It is the heat expenditure in the smelting process of various copper concentrates; It is the heat income during the smelting process of various copper concentrates.

[0047] According to the heat balance relationship of "heat expenditure = heat absorption by decomposition of physical phase + heat absorption by temperature rise of physical phase + physical heat taken away by product + heat dissipation by boiler", the heat expenditure of the present invention is It is composed of the sum of heat absorption due to decomposition of physical phase, heat absorption due to temperature rise of physical phase, physical heat taken away by the product and heat dissipation of boiler.

[0048] The phase decomposition is endothermic The specific solution formula is as follows:

[0049] (4)

[0050] in, Unit phase j The decomposition absorbs heat; For the i Phases in copper concentrate j The mass proportion of For physical phasej The unit molar mass.

[0051] The phase heats up and absorbs heat The specific solution formula is as follows:

[0052] (5)

[0053] in, Unit phase j The temperature rise absorbs heat.

[0054] The product takes away physical heat The specific solution formula is as follows:

[0055] (6)

[0056] in, The unit hour phase j The quality of the reaction products; Unit phase j The reaction products take away physical heat.

[0057] Based on formulas (4), (5) and (6), we get:

[0058] (7)

[0059] in, Heat dissipation for boiler.

[0060] According to the heat balance relationship of "heat input = heat released by oxidation of physical phase + heat released by slag formation + heat released by fuel combustion + physical heat brought into physical phase", the heat input of the present invention is It is composed of the sum of heat released by oxidation of physical phase, heat released by slag formation, heat released by fuel combustion and physical heat brought into the physical phase.

[0061] The phase oxidation is exothermic The specific solution formula is as follows:

[0062] (8)

[0063] in, Unit phase j The reaction releases heat.

[0064] The slag-making exothermic The specific solution formula is as follows:

[0065] (9)

[0066] in, is the heat of reaction for slagging per unit FeO; is the heat of reaction for unit CaO slagging; is the output mass of copper slag per hour; is the mass proportion of Fe in copper slag; is the mass proportion of Fe3O4 in copper slag; For the i The mass proportion of CaCO3 phase in this copper concentrate.

[0067] The fuel combustion releases heat The specific solution formula is as follows:

[0068] (10)

[0069] in, is the mass of fuel consumed per hour; The heat released per unit of fuel combustion.

[0070] The phase brings in physical heat The specific solution formula is as follows:

[0071] (11)

[0072] in, For physical phase j The unit heat capacity.

[0073] Based on formulas (8), (9), (10) and (11), we obtain:

[0074] (12)

[0075] in, For the i Thermal income from copper concentrate.

[0076] (13)

[0077] The calculation model for ore blending with main elements as the batching constraint is:

[0078] (14)

[0079] in, is the mass proportion of the main elements in the raw materials entering the furnace; is the target value of the content of the main elements in the raw materials entering the furnace, and the main elements include Cu, Fe or S.

[0080] The calculation model for ore blending with impurity elements as the batching constraint is:

[0081] (15)

[0082] in, For the iThe content of a certain impurity element in a copper concentrate; is a limit value of a certain impurity element, and the impurity elements include As, Sb, Bi, Pb and Zn.

[0083] As a specific embodiment, when the main element is Cu, the following formula is obtained:

[0084] (16)

[0085] in, For the i The mass proportion of CuFeS2 phase in the copper concentrate; For the i The mass proportion of the phase Cu5FeS4 in the copper concentrate; For the i The mass proportion of Cu2S phase in the copper concentrate.

[0086] Step 3: Solve the ore blending calculation model based on the constraints and output the optimal proportions of various copper concentrates.

[0087] The complex copper concentrate batching method of the present invention will be described in detail below in conjunction with specific embodiments. The present invention takes a group of actual production raw material phases of copper concentrate as an example to determine the target matte grade of smelting to be 73.8%.

[0088] like Figure 1 As shown, first, the multi-source copper concentrate is subjected to phase analysis, and the phase analysis results and thermodynamic data obtained are shown in Tables 1 to 7, and the heat income and heat expenditure are calculated based on the unit substance reaction heat change shown in Table 8.

[0089] Specifically, it can be seen from Tables 1 to 7 that after the physical phases of copper concentrates on the market are classified, they are generally divided into the following types of minerals, including: copper sulfide minerals (such as CuFeS2, Cu5FeS4, CuFe2S3, etc.), copper oxide minerals (such as Cu2O, CuCO3·Cu(OH)2, CuSO4·5H2O, etc.), iron minerals (Fe, Fe-(SO4)3, CuFe2O4, etc.), sulfur and sulfides (such as S, PbS, ZnS, etc.), and gangue (such as CaMg[Si2O6], Ca2Al2SiO7, Pb2SiO4, etc.). In addition, it also contains a small amount of water, gas, and a small amount of special minerals, such as copper selenide minerals (such as CuSe).

[0090] Table 1 Copper sulfide mineral phase analysis results and thermodynamic data

[0091]

[0092] Table 2 Copper oxide mineral phase analysis results and thermodynamic data

[0093]

[0094] Table 3 Phase analysis results and thermodynamic data of other copper minerals

[0095]

[0096] Table 4 Analysis results and thermodynamic data of sulfur and other phases

[0097]

[0098] Table 5 Iron mineral phase analysis results and thermodynamic data

[0099]

[0100] Table 6 Gangue phase analysis results and thermodynamic data

[0101]

[0102] Table 7 Phase analysis results and thermodynamic data of water and other gases

[0103]

[0104] Note: The initial furnace temperature for physical heat per unit mass of phase in Tables 1 to 7 is set to 40°C.

[0105] Table 8 Change in heat of reaction per unit substance

[0106]

[0107] It can be seen from Tables 1 to 7 that five copper concentrates are selected in the embodiment of the present invention, and Table 9 gives the storage information of these copper concentrates. When entering the furnace for smelting, the amount of quartz sand flux added is 4337.33 kg / h. According to the actual production feed and discharge, the feed temperature and the heat taken away by flue gas, slag, and matte are calculated according to the formulas in step 2, and then the amount of additional fuel required for the smelting reaction is calculated to control the temperature fluctuation and heat energy loss during the smelting process. The heat taken away by flue gas, slag, and matte is combined to achieve the heat balance of the smelting process. In this process, nitrogen and oxygen are calculated according to the actual production addition amount, where the oxygen addition amount is 20879.79 kg / h and the nitrogen addition amount is 6040.67 kg / h. Tables 10 and 11 give the total table of heat input and heat output of the furnace smelting process.

[0108] Table 9 Storage information of various copper concentrates

[0109]

[0110] Table 10 Heat input data of the furnace smelting process

[0111]

[0112] Table 11 Heat output data of the furnace smelting process

[0113]

[0114] In addition, the present invention also calculates the amount of additional fuel required for the reaction based on the heat balance relationship during the smelting process to control the temperature fluctuation and heat energy loss during the smelting process. The heat balance of the smelting process is achieved by combining the heat removal of flue gas, slag and matte.

[0115] The composition of Cu, Fe, and S is limited to 17, 23, and 22.5 respectively; the impurity elements As, Sb, Bi, Pb, and Zn are less than 1, 0.1, 1, 2, and 3 respectively, to stabilize the main elements Cu, Fe, and S, control the impurity elements, and ensure the stability of the element fluctuation range during the smelting process. Then, with the goal of shortest operating time and lowest operating cost, the corresponding data of each mine is substituted and the ore matching calculation model is solved. The results are shown in Table 12.

[0116] Table 12 Ingredients results

[0117]

[0118] Subject to the above constraints:

[0119] After the final calculation of the ingredients, because the operating time of Mine No. 4 is the shortest, it means that the longest operating shift using these mines is: 11.84 shifts.

[0120] Among them, the cost of smelting in the furnace is 13053.73 yuan / t, the fuel input mass is 20.5kg / h, and the coal blending rate is 0.02%.

[0121] The formula for calculating the coal blending rate is the mass of coal / the mass of the total raw materials entering the furnace.

[0122] The formula for calculating the quality of coal blending is ( Q 总热支出 -( Q 总热收入 -Fuel combustion releases heat)) / .

[0123] Step 4: Make actual ingredients according to the optimal ingredient ratio.

[0124] After obtaining the optimal ingredient ratio, the actual ingredients are mixed according to the optimal ingredient ratio. The production indicators can be controlled at the feeding end to ensure the stable operation of the smelting process, thus realizing an efficient, energy-saving and environmentally friendly copper smelting process.

[0125] In summary, the present invention performs phase analysis on multi-source copper concentrates, and then uses the thermodynamic data of the phases to calculate the heat balance in the smelting process, and uses the heat balance as a burden constraint. Combined with other burden constraints such as the inventory of each copper concentrate, impurity elements, and main elements, the optimized burden ratio is obtained, which can realize the scientific and accurate calculation of the optimal burden ratio of complex copper concentrates, thereby improving the copper smelting efficiency and the stability of the smelting process.

[0126] In addition, the present invention also provides a computer program product, comprising a computer program, which implements the steps of the complex copper concentrate batching method when executed by a processor.

[0127] Furthermore, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the complex copper concentrate batching method when executed by a processor.

[0128] Furthermore, the present invention also provides a computer device, including a processor, a memory, an input / output interface (Input / Output, referred to as I / O), a communication interface, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the complex copper concentrate batching method.

[0129] The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pending transactions. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the complex copper concentrate batching method is implemented.

[0130] It should be noted that the object information (including but not limited to object device information, object personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0131] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided by the present invention may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided by the present invention may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0132] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0133] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

[0134] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0135] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A complex copper concentrate batching method, characterized in that: include: Conduct phase analysis on various copper concentrates to be used as ingredients and obtain thermodynamic data of each phase; Based on the thermodynamic data of each phase, an ore blending calculation model and constraint conditions are constructed; the ore blending calculation model takes the shortest operating time and the lowest operating cost as the objective function; Solve the ore blending calculation model based on the constraint conditions and output the optimal proportion of various copper concentrates; The constraints of the ore blending calculation model include heat balance constraints, main element constraints and impurity element constraints; The heat balance constraint formula includes and ;in, It is the heat expenditure in the smelting process of various copper concentrates; It is the heat income during the smelting process of various copper concentrates; Unit phase j The decomposition absorbs heat; For the i Phases in copper concentrate j The mass proportion of For physical phase j The unit molar mass of Unit phase j The temperature rise absorbs heat; The unit hour phase j The quality of the reaction products; Unit phase j The physical heat taken away by the reaction products; Dissipate heat for boilers; For the i Thermal income of copper concentrate; is the heat of reaction for slagging per unit FeO; is the output mass of copper slag per hour; is the mass proportion of Fe in copper slag; is the mass proportion of Fe3O4 in copper slag; is the mass of fuel consumed per hour; is the heat released per unit of fuel combustion; the ore blending calculation model with heat balance as the batching constraint is: ; The actual ingredients are mixed according to the optimal proportion of ingredients.

2. The complex copper concentrate batching method according to claim 1, characterized in that: The phase analysis of the various copper concentrates to be prepared is performed to obtain thermodynamic data of each phase, specifically including: Using X-ray diffraction, X-ray fluorescence spectroscopy or X-ray photoelectron spectroscopy technology to perform phase analysis on various copper concentrates to be prepared, and obtain phase analysis results; According to the phase analysis results and preset reaction conditions, the thermodynamic data of each phase during chemical reaction is calculated through the thermodynamic calculation database Factsage.

3. The complex copper concentrate batching method according to claim 2, characterized in that: The running time objective function of the ore allocation calculation model is: ;in, For the i Stockpile of copper concentrate; is the total mass of copper concentrate entering the furnace per hour; For the i The proportion of the ingredients of the copper concentrate; min means taking the minimum value; The operating cost objective function of the ore matching calculation model is: ;in, For the i The cost of copper concentrate; m is the number of copper concentrate types.

4. The complex copper concentrate batching method according to claim 3, characterized in that: The principal element constraint formula is: ;in, is the mass proportion of the main elements in the raw materials entering the furnace; It is the target value of the main element content in the raw materials entering the furnace.

5. The complex copper concentrate batching method according to claim 3, characterized in that: The impurity element constraint formula is: ;in, For the i The content of a certain impurity element in a copper concentrate; It is the limit value of a certain impurity element.

6. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the complex copper concentrate batching method according to any one of claims 1 to 5 is implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the complex copper concentrate batching method according to any one of claims 1 to 5 is implemented.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the complex copper concentrate batching method according to any one of claims 1 to 5.

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