Optimization method and optimization device for cement production planning and scheduling

Abstract

Disclosed are an optimization method and an optimization device for cement production planning and scheduling. The optimization method comprises the following steps: determining benefit evaluation indicators of a cement plant on the basis of a cement supply chain process, the supply chain process comprising a procurement process, a production process, and a sales process; extracting process units in the production process, and constructing a process simulation flow for cement production; constructing an objective function of the cement production on the basis of the process simulation flow; optimizing the objective function on the basis of constraint conditions of the process units, so as to obtain a planning optimization model for the cement production; and obtaining a planning optimization scheme for the cement plant on the basis of the planning optimization model. In the present invention, correlations between various devices and between various steps are comprehensively considered in combination with the influence of material properties during mixing and transfer, thereby generating an efficient and accurate cement production plan, improving the accuracy of the production plan of the cement plant, and further improving production efficiency and product quality.

Description

Optimization methods and equipment for cement production planning Technical Field

[0001] This invention relates to the technical field of cement production, specifically to an optimization method for cement production planning, an optimization device for cement production planning, and a computer-readable storage medium. Background Technology

[0002] Cement is a crucial material in modern construction and infrastructure development, widely used in the production of concrete, masonry, road surfaces, and other building materials. With accelerating urbanization and continuous infrastructure development, the demand for cement is showing a sustained upward trend. To meet market demand and improve production efficiency, cement production enterprises need an efficient production planning system. During production, in addition to considering market demand and raw material supply, the system also needs to focus on the enterprise's production capacity and the processing capacity of its equipment. Therefore, optimizing cement plant planning is essential, comprehensively considering all aspects to maximize the cement plant's profitability.

[0003] Currently, when formulating cement production plans, the correlation between the various stages of the process is not taken into account. As a result, the issues of material property mixing and transfer during the cement plant's production process are ignored, leading to low accuracy of the generated production plans during the implementation phase.

[0004] To address the aforementioned problems in existing technologies, there is an urgent need in the field for an optimized cement production planning technology that can comprehensively consider the relationships between various devices and processes, and take into account the influence of physical properties during mixing and transmission, thereby generating an efficient and accurate cement production plan, improving the accuracy of cement plant production plans, and ultimately enhancing production efficiency and product quality. Summary of the Invention

[0005] The following provides a brief overview of one or more aspects to offer a basic understanding of them. This overview is not an exhaustive summary of all conceived aspects, nor is it intended to identify key or decisive elements of all aspects, nor to define the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed descriptions that follow.

[0006] To overcome the aforementioned deficiencies in the existing technology, this invention provides an optimization method for cement production planning, an optimization device for cement production planning, and a computer-readable storage medium. This method comprehensively considers the relationships between various devices and links, and takes into account the influence of physical properties during mixing and transmission, thereby generating an efficient and accurate cement production plan, improving the accuracy of cement plant production plans, and ultimately enhancing production efficiency and product quality.

[0007] Specifically, the above-mentioned cement production planning optimization method according to the first aspect of the present invention includes the following steps: determining the benefit evaluation index of the cement plant based on the cement supply chain process, wherein the supply chain process includes a procurement process, a production process, and a sales process; extracting process units in the production process and constructing a process simulation process for cement production; constructing an objective function for cement production based on the process simulation process; optimizing the objective function based on the constraints of each process unit to obtain a planning optimization model for cement production; and obtaining a planning optimization scheme for the cement plant based on the planning optimization model.

[0008] A second aspect of the present invention provides the aforementioned cement production scheduling optimization apparatus. This cement production scheduling optimization apparatus includes a memory and a processor. The processor is connected to the memory and configured to implement the aforementioned cement production scheduling optimization method provided in the first aspect of the present invention.

[0009] A third aspect of the present invention also provides a computer-readable storage medium having computer instructions stored thereon. When the computer instructions are executed by a processor, they implement the above-described optimized cement production scheduling method provided in the first aspect of the present invention. Attached Figure Description

[0010] The above-described features and advantages of the present invention will be better understood after reading the following detailed description of embodiments of the present disclosure in conjunction with the accompanying drawings. In the drawings, components are not necessarily drawn to scale, and components having similar related characteristics or features may have the same or similar reference numerals.

[0011] Figure 1 shows a flowchart of an optimization method for cement production planning provided according to some embodiments of the present invention;

[0012] Figure 2 shows a schematic diagram of the three stages of a cement production process provided according to some embodiments of the present invention;

[0013] Figure 3 shows a process simulation flow chart of cement production according to some embodiments of the present invention;

[0014] Figure 4 illustrates a flowchart of obtaining a planned optimization scheme for a cement plant according to some embodiments of the present invention; and

[0015] Figure 5 shows a structural block diagram of a cement production planning optimization device provided according to some embodiments of the present invention.

[0016] Reference numerals: S110 to S150 steps; S410 to S440 steps; 500 cement production planning optimization device; 501 memory; and 502 processor. Detailed Implementation

[0017] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Although the description of the present invention is presented in conjunction with preferred embodiments, this does not mean that the features of the invention are limited to these embodiments. On the contrary, the purpose of describing the invention in conjunction with embodiments is to cover other options or modifications that may be derived based on the claims of the present invention. To provide a thorough understanding of the invention, many specific details will be included in the following description. The invention may also be implemented without using these details. Furthermore, to avoid confusion or obscuring the focus of the invention, some specific details will be omitted in the description.

[0018] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0019] Furthermore, the terms "upper," "lower," "left," "right," "top," "bottom," "horizontal," and "vertical" used in the following description should be understood as the orientations shown in the relevant paragraphs and accompanying drawings. These relative terms are for illustrative purposes only and do not imply that the described apparatus must be manufactured or operated in a specific orientation, and therefore should not be construed as limiting the invention.

[0020] It is understood that although terms such as "first," "second," and "third" may be used herein to describe various components, regions, layers, and / or parts, these components, regions, layers, and / or parts should not be limited by these terms, and these terms are only used to distinguish different components, regions, layers, and / or parts. Therefore, the first components, regions, layers, and / or parts discussed below may be referred to as second components, regions, layers, and / or parts without departing from some embodiments of the present invention.

[0021] As mentioned above, the current cement production planning does not take into account the interrelationship between the various stages of the process. Therefore, it ignores the issues of material property mixing and transfer during the cement plant's production process, resulting in low accuracy of the generated production plan during the implementation phase.

[0022] To address the aforementioned problems in the prior art, this invention provides an optimization method for cement production planning, an optimization device for cement production planning, and a computer-readable storage medium. This method comprehensively considers the relationships between various devices and links, and takes into account the influence of physical properties during mixing and transmission, thereby generating an efficient and accurate cement production plan, improving the accuracy of cement plant production plans, and ultimately enhancing production efficiency and product quality.

[0023] Please refer to Figure 1, which shows a flowchart of an optimized method for cement production scheduling according to some embodiments of the present invention.

[0024] As shown in Figure 1, in some embodiments of the present invention, the method for optimizing cement production scheduling may include the following steps. First, step S110 may be performed: determining the profitability evaluation indicators of the cement plant based on the cement supply chain process.

[0025] Specifically, in some embodiments, a novel dry process cement production technology can be used to produce cement. This process, centered on suspension preheating and external kiln pre-decomposition technology, allows cement raw materials to fully contact high-temperature gases in a suspended state, achieving efficient preheating and decomposition. Compared to traditional wet processes, the novel dry process cement production does not require large amounts of water, reducing fuel consumption and heat loss, significantly lowering energy consumption, and achieving high efficiency, high quality, energy saving, environmental protection, and large-scale cement production.

[0026] In this embodiment, the supply chain process mainly includes the procurement process, the production process, and the sales process. Therefore, the profitability evaluation indicators for a cement plant can include: the raw material cost in the procurement process, the energy consumption cost in the production process, and the product sales revenue in the sales process.

[0027] Optionally, energy consumption in the production process mainly includes the energy consumption of each processing unit. Processing units may include preheaters, which preheat raw materials to a certain temperature for further heating. Processing units may include decomposition furnaces, where materials after preheating are fed into the furnace, allowing most of the calcium carbonate to decompose first, thus achieving energy saving, reduced consumption, and improved calcination efficiency. Processing units may also include rotary kilns, which calcine cement raw materials into cement clinker at high temperatures. Processing units may also include grate coolers, which cool the high-temperature clinker discharged from the rotary kiln, rapidly reducing the clinker temperature through efficient cooling, facilitating subsequent processing. Processing units may also include grinding equipment for grinding clinker and cement products. Therefore, these factors need to be comprehensively considered when drafting a cement production plan to ensure maximum production efficiency.

[0028] Furthermore, in some embodiments, the expression for the raw material cost of a cement plant in the procurement process within a single cycle can be as follows:

[0029] Where s represents the intermediate material flow between various devices in the production process, and mat s Ctst is the collection of raw materials purchased in the procurement process. s To cover the cost of purchasing raw materials, Qu s This refers to the volume of intermediate logistics in the production process.

[0030] The energy consumption cost of a cement plant in a single cycle can be expressed as follows: Energy consumption cost = ∑ ene eneCtst ene ×u_ene ene

[0031] Where ene represents the energy consumption in the production process, eneCtst ene The unit price of energy consumption, and u_ene ene This refers to the energy consumption of each device in the production process.

[0032] The expression for the product sales revenue of a cement plant in a single cycle during the sales process can be as follows:

[0033] Among them, cem s Pr is the collection of products sold in the sales process. s The price at which the product is sold.

[0034] As shown in Figure 1, the above-mentioned cement production planning optimization method provided by the present invention may further include step S120: extracting process units in the production process and constructing a process simulation process for cement production.

[0035] Specifically, this can be understood in conjunction with Figure 2, which shows a schematic diagram of the three stages of a cement production process provided according to some embodiments of the present invention.

[0036] As shown in Figure 2, in some embodiments, the production process may further include three stages: a raw material preparation stage, a clinker calcination stage, and a cement grinding stage. By separating these three stages, the following basic units can be obtained.

[0037] Specifically, the raw material preparation stage can extract at least limestone, clay, and corrective raw materials into raw material units. The clinker calcination stage can extract at least processing units, material flow units, merging units, and diversion units. Processing units can include preheaters, decomposition furnaces, grate coolers, and rotary kilns. Material flow units are used for material and property transfer. Merging units are used to merge materials, and diversion units are used to divide a single material flow into multiple streams for different units. The cement grinding stage can extract at least blending units and product units. Blending units are used to blend materials to form the final product, and product units can include cement products such as pozzolanic silicate cement.

[0038] Then, based at least on the above-mentioned raw material unit, processing unit, logistics unit, merging unit, diversion unit, and product unit, a process simulation flow for cement production can be constructed.

[0039] Specifically, this can be understood in conjunction with Figure 3, which shows a process simulation flow chart of cement production provided according to some embodiments of the present invention.

[0040] As shown in Figure 3, in some embodiments, after purchasing raw materials 1 to 8, multiple raw materials can be transferred to corresponding processing units for operations such as logistics, merging, processing, diversion, and blending to produce cement products. For example, raw material 5 can be transferred to processing unit 4 via logistics M5, while raw materials 1 to 4 can be transferred to processing unit 1 via merged logistics M1 to M4. Raw material 8 can be transferred to diversion device 2 via logistics M8 for diversion, with a portion diverted to merging unit 1 via logistics S2_1 and another portion diverted to blending unit via logistics S2_2. Finally, all logistics from the processing units are transferred to the blending unit for blending to form the final products 1, 2, and 3, which are then provided to the sales end for sale.

[0041] Those skilled in the art will understand that the process simulation flowchart for cement production shown in Figure 3 is merely a non-limiting embodiment provided by the present invention, intended to clearly demonstrate the main concepts of the invention and provide a specific solution that is easy for the public to implement, rather than being used to limit the scope of protection of the present invention. Optionally, in other embodiments, those skilled in the art can also build a customized process simulation flowchart based on the concepts of the present invention and in accordance with this template.

[0042] As shown in Figure 1, the above-mentioned cement production planning optimization method provided by the present invention may further include step S130: based on the process simulation flow, constructing an objective function for cement production with the goal of maximizing benefits.

[0043] Specifically, in some embodiments, based on the process simulation flow, the profit obtained by the cement plant from a single sale of cement products during the sales stage can be used as the output to construct an objective function to be optimized. The expression of the objective function to be optimized can be as follows:

[0044] Here, Benefit represents the total profit a cement plant earns from a single sale of cement products. s represents the intermediate material flow between different units in the production process, such as the material flow from the precalciner to the rotary kiln. cem s A collection of products sold through a sales process, such as pozzolanic silicate cement and slag silicate cement. s Qu represents the price of the cement products sold. s This refers to the volume of material moving through the production process, such as the flow rate of material moving from the precalciner to the rotary kiln. s This refers to the collection of raw materials purchased during the procurement process, specifically the cement raw material collection. s The cost of purchasing cement raw materials. ene represents energy consumption in the production process, such as coal. eneCtst ene The unit price of energy consumption, and u_ene ene This refers to the energy consumption of each device in the production process.

[0045] The objective function aims to maximize the total profit a cement plant earns from a single sale of cement products.

[0046] As shown in Figure 1, the above-mentioned cement production planning optimization method provided by the present invention may further include step S140: optimizing the objective function based on the constraints of each process unit to obtain a cement production planning optimization model.

[0047] In some embodiments, an optimization model is created, and the constraints of each process unit may include: raw material constraints in the raw material unit, constraints on logistics transfer and logistics properties in the logistics unit, and energy consumption constraints in the cement plant and processing unit.

[0048] Specifically, optionally, the raw material constraints in the raw material unit may include upper and lower limits on the purchase quantities of raw materials such as limestone, clay, corrective raw materials, and coal within a single cycle of the cement plant, expressed as follows: Qu s ≤Qu_max s ,s∈cem s Qu s ≥Qu_min s ,s∈cem s

[0049] Among them, Qu_max s Qu_min represents the maximum purchase quantity. s This indicates the minimum purchase quantity.

[0050] Constraints on material transfer within a logistics unit can include upper and lower limits on material transfer between processing units, expressed as follows: Qu s ≤Qu_max s * Qu s ≥Qu_min s *

[0051] Among them, Qu_max s * Qu_min represents the upper limit of material flow rate in the simulated process. s * This indicates the lower limit of material flow rate in the simulated process.

[0052] Furthermore, in the cement processing process, to meet actual production requirements, the properties of the materials flowing through the process can be restricted. The purpose of restricting the properties of materials is to ensure that the properties of the materials entering a certain processing unit meet the processing requirements. For example, ensuring that the CaO content of the raw material entering the preheater meets the three-rate requirements.

[0053] Specifically, the constraints on the logistics properties within a logistics unit can include three types: primary property constraints, secondary property constraints, and tertiary property constraints. Primary property constraints are for properties with fixed values, meaning that the content of raw materials (e.g., CaO) entering a processing unit must be a constant value, without fluctuations. The expression for a primary property constraint can be as follows: P s,p =P_fix s,p

[0054] Among them, P s,p Tabular logistics properties, P_fix s,p A fixed value representing the nature of logistics.

[0055] The second property constraint is a constraint on the upper and lower limits of a property. Unlike the properties mentioned above, which are fixed values, this constraint allows the content of raw materials (e.g., CaO) in the feedstock entering the processing unit to fluctuate, as long as the condition is met. The expression for the second property constraint can be as follows: P s,p ≤P_max s,p P s,q ≥P_min s,p

[0056] Among them, P_max s,p P_min represents the upper limit of the logistics characteristics. s,p This indicates the lower limit of the logistics nature.

[0057] The third property constraint is a constraint on the proportion of property transfer, indicating that the content of raw material (e.g., CaO) in the previous stream is transferred to the next stream in a certain proportion. The expression for the third property constraint can be as follows: P s1,q =k s,s1,q ×P s,q

[0058] Where, k s,s1,q P represents the proportionality constant that transfers a certain property of logistics s to logistics s1. s,q P represents a certain property of logistics s. s1,q This represents a certain property of logistics s1.

[0059] In addition, the constraints also include energy consumption constraints. Energy consumption constraints can include those specific to the cement plant, which are upper and lower limits based on the plant's internal energy reserves. These limits can be determined according to the actual situation, and their expression can be as follows: u_ene ene ≤u_ene_max ene u_ene ene ≤u_ene_min ene

[0060] Among them, u_ene_max ene Indicates the upper limit of energy consumption, u_ene_min ene This indicates the lower limit of energy consumption.

[0061] Energy consumption constraints can include energy consumption constraints within a processing unit, which are constraints on the energy consumption generated by each processing device. Their expression can be as follows:

[0062] Where, n re,ene Represents the energy consumption generated per unit of processing, and re represents the set of processing devices.

[0063] Next, please refer to Figure 4, which shows a schematic flowchart of obtaining a planned optimization scheme for a cement plant according to some embodiments of the present invention.

[0064] As shown in Figure 4, in some embodiments, the operation sequence and material transfer process from the initial raw materials such as limestone to various grades of cement are established, a cement plant planning optimization model is built, and then the maximum benefit of the cement plant is obtained by solving the problem.

[0065] Specifically, firstly, step S410 involves establishing models of processing devices such as preheaters and decomposition furnaces, as well as logistics merging devices and blending devices. Then, the processing information of each processing device is initialized. Next, step S420 is executed to obtain the basic information of the cement plant. Then, step S430 is executed to input the basic information of the cement plant into the established model. Finally, step S440 is executed to solve the model, ultimately obtaining the optimal solution for maximizing the benefits of the cement plant, which serves as the planned optimization scheme for the cement plant.

[0066] The specific processes can be expressed using the following formulas. Specifically, the constraints of each process unit may also include: a basic yield model based on processing devices such as preheaters and decomposition furnaces, where yield is the output quantity, used to obtain the output rate of the processing device, which is unaffected by the nature of the input material and only affected by the parameters of the processing device itself. The expression of the basic yield model may include:

[0067] Among them, Qu mac,ns This indicates the total amount of feed material into various processing units such as the preheater, decomposition furnace, and rotary kiln. mac Qu represents the collection of processing devices such as preheaters, decomposition furnaces, and rotary kilns. mac,re,ns Qu represents the amount of feed material entering any processing unit such as a preheater, decomposition furnace, or rotary kiln. mac,re,ts =Qu mac,re,ns ×QuYieldmac,re,ns,ts (2)

[0068] Among them, Qu mac,re,ts QuYieldmac,re,ns,ts represents the amount of material discharged from any processing device such as a preheater, decomposer, or rotary kiln. QuYieldmac,re,ns,ts represents the yield of the material discharged from the processing device such as the preheater, decomposer, or rotary kiln when processing the feed.

[0069] Among them, Qu mac,ts This indicates the total amount of material output from various processing units such as preheaters, decomposition furnaces, and rotary kilns.

[0070] Furthermore, the constraints for each process unit can also include: a Delta-Based structural model based on the processing unit to obtain the yield of the processing unit, which is simultaneously affected by the parameters of the processing unit and the properties of the feedstock. For example, the CaO content in the input feedstock affects the yield of the rotary kiln; this is a Delta-Based structure. When the yield is affected not only by the processing unit but also by the properties of the input feedstock, the influence of the model's raw material properties on the quantity and properties of the clinker needs to be considered. The expression for the Delta-Based structural model can include: Qu mac,re,ts =Qu mac,re,ns ×(QuYieldmac,re,ns,ts+∑ q∈qre (QDelta mac,re,q ×(Q mac,re,ns,q -QBase mac,re,q ) / QStep mac,re,q (5)

[0071] Formula (4) has the same meaning as formula (1) above. re QDelta represents the set of all properties (e.g., properties of CaO and MgO). mac,re,q This represents the forward differential perturbation of the feed properties and the fundamental point of the property that affects the output in the processing scheme of processing devices such as preheaters, decomposers, and rotary kilns. mac,re,ns,q QBase represents the quantity of the processing feed material properties in the processing scheme of processing devices such as preheaters, decomposition furnaces, and rotary kilns. mac,re,q This represents the fundamental property that indicates how the processing scheme of processing devices such as preheaters, decomposers, and rotary kilns affects the amount of output material. (QStep) mac,re,q This indicates the step size by which the processing scheme of processing devices such as preheaters, decomposition furnaces, and rotary kilns affects the amount of material discharged.

[0072] Formula (6) has the same meaning as formula (3).

[0073] Furthermore, the constraints of each process unit may also include: constraints restricting the material balance and property transfer and balance of the merged unit, the expression of which can be as follows: Qu mix,ts =∑Qu mix,ns (7)

[0074] Among them, Qu mix,ts Qu represents the amount of material discharged from the merged unit. mix,ns This represents the quantity of feed material into the merged unit. Based on the mixing and transfer of physical properties, the formula for calculating the discharge properties can be as follows: Qu mix,ts ×Q mix,ts,q =∑(Qumix,ns ×Q mix,ns,q (8)

[0075] Among them, Q mix,ts,q Q represents the quantity of material flow characteristics from the merged unit. mix,ns,q This indicates the quantity of the feed material properties in the merging unit. For example, all clay raw materials are merged before entering the preheater to ensure that the flow rate remains consistent before and after merging. Simultaneously, the properties of the merged material are matched to those before merging, achieving a balanced transfer of properties.

[0076] Furthermore, the constraints of each process unit can also include: constraints on the material balance and property transfer and balance of the blending unit, the expressions of which can be as follows:

[0077] Among them, re mix Qu represents the set of mixing schemes for harmonic units. mix,ns Qu represents the amount of feed material into the blending unit. mix,re,ns Qu represents the amount of feed stream in the mixing scheme of the blending unit. mix,re,ts =Qu mix,re,ns ×QuYieldmix,re,ns,ts (10)

[0078] Among them, Qu mix,re,ts QuYieldmix,re,ns,ts represents the output material volume of the mixing scheme in the blending unit, and QuYieldmix,re,ns,ts represents the yield of the output material when the mixing scheme in the blending unit is fed.

[0079] Among them, Qu mix,ts This indicates the amount of material flowing out of the blending unit.

[0080] Based on the mixing and transfer of physical properties, the formula for calculating the discharge properties can be as follows:

[0081] Among them, Q mix,ts,q Q represents the quantity of material flow characteristics from the blending unit. mix,re,ns,q This indicates the quantity of the feed material properties in the blending unit's mixing scheme. For example, clinker, gypsum, and other materials are mixed in appropriate proportions through a blending device to ensure that the quantity of the product obtained after blending is the same as the quantity of material entering the blending device, while also ensuring that the properties of the product after blending match the properties of the feed material before blending, thus achieving a balanced transfer of properties.

[0082] In addition, the constraints of each process unit may also include: processing quantity constraints of processing devices such as preheaters, decomposition furnaces, and rotary kilns, the expressions of which can be as follows:

[0083] Where pow represents the name of the processing quantity used, MPow pow Qu represents the value indicating the amount of processing. pow,re Re represents the total processing volume of the scheme using the stated processing volume. pow,re This indicates the scheme using the stated processing volume, PowTotal pow,re This indicates the proportion of the total processing volume using the aforementioned processing volume scheme.

[0084] Then, based on the raw material units and product units extracted in step S120, relevant data for the raw materials and products are set. These data will serve as the initial values ​​for raw materials and product properties in the planning optimization model in step S140.

[0085] As shown in Figure 4, in some implementations, based on the cement production process simulation flow established in step S120, after initializing the processing information of raw materials such as limestone and processing devices such as rotary kilns, the basic processing parameters of the cement plant, the parameters of calcination processing devices such as preheaters, decomposition furnaces, and rotary kilns, the three ratios of cement raw meal and clinker, the parameters of the logistics merging model (set according to actual processing conditions), the cement product blending parameters (set according to production requirements), the property transfer parameters (set according to production requirements), and the property given parameters (set according to production requirements) can be preset for process simulation solution.

[0086] Specifically, the basic processing parameters of the cement plant mentioned above may include the price and purchase limits of limestone, clay, corrective raw materials and coal, the sales limits of each grade of cement, the energy consumption limits, product prices, the processing limits of rotary kilns and other processing equipment, the limits of intermediate products (such as clinker products such as tricalcium aluminate (C3A) and tetracalcium aluminoferrite (C4AF)) and the properties of raw materials.

[0087] The above product blending parameters may include setting the types of input substances for blending products; and upper and lower limits on the properties of the blended products.

[0088] The parameters of the aforementioned logistics consolidation model may include material balance settings for the consolidation process, as well as constraints, transfers, and balances of the properties of the consolidation units.

[0089] The parameters of the calcination apparatus, such as the rotary kiln, in the aforementioned processing equipment may include the basic yield of the calcination process, the Delta-Base structural model, the conservation of input and output substances in the calcination process, and the constraints, transfer, and balance of the properties of the calcination apparatus.

[0090] The aforementioned three ratios of cement raw meal and clinker may include the silica ratio, aluminum ratio, and limestone saturation coefficient, which shall meet the upper and lower limits of the national standards.

[0091] The aforementioned property parameters may include settings for the properties of raw materials such as limestone, intermediate materials, or cement. The aforementioned property transfer parameters refer to the transfer of properties according to a given ratio, and may include settings for the source of properties of raw materials such as limestone, intermediate materials, or cement, as well as settings for the property transfer ratio between different equipment.

[0092] Based on these parameters, a mixed-integer nonlinear programming algorithm can be called in the GAMS library to solve the objective function and obtain the optimized plan for the cement plant under normal operating conditions (corresponding to step S150 in Figure 1).

[0093] Referring to Figures 2-4, the cement production scheduling optimization method provided by this invention first understands the basic information of the cement plant's production process and analyzes the input and output transmission process of materials in each unit. Secondly, based on the production process, a cement production flow model is created. Then, by using the cement plant's efficiency as the objective function, its maximum value is obtained through solving the model. Finally, the numerical values ​​of the obtained solution are analyzed to derive a plan that maximizes the cement plant's efficiency.

[0094] This concludes the introduction of the cement production scheduling optimization method provided in the first aspect of the present invention. By considering the property transfer between processing units, particularly the constraints on product properties during the blending process, the production plan becomes more reliable, providing a strong reference for enterprise decision-making. Furthermore, by considering property transfer, constraints on processing units and raw materials, and the speed of the solver, highly accurate and rapid prediction capabilities are achieved, thereby solving the challenges faced by cement plants in planning optimization, which is of great significance. Compared with traditional cement plant planning optimization methods, this method can more accurately predict and optimize production plans, thereby improving production efficiency and product quality.

[0095] Next, please refer to Figure 5, which shows a structural block diagram of a cement production planning optimization device provided according to some embodiments of the present invention.

[0096] In some non-limiting embodiments, the cement production scheduling optimization apparatus 500 provided in the second aspect of the present invention can be used to implement the cement production scheduling optimization method provided in the first aspect of the present invention. The cement production scheduling optimization apparatus 500 may include a memory 501 and a processor 502. The processor 502 is configured to implement the cement production scheduling optimization method when executing a computer program stored in the memory 501.

[0097] Specifically, in some non-limiting embodiments, the computer-readable storage medium provided in the third aspect of the present invention stores computer instructions thereon. When the computer instructions are executed by the processor 502, they can be used to implement the cement production scheduling optimization method provided in the first aspect of the present invention.

[0098] Those skilled in the art will understand that the above-described embodiments of the cement production scheduling optimization device 500 are merely some non-limiting implementations provided by the present invention, intended to clearly demonstrate the main concepts of the present invention and provide some specific solutions that are easy for the public to implement. Furthermore, the cement production scheduling optimization device 500 device 10 is only one non-limiting implementation provided by the present invention and does not limit the entities implementing the steps in these cement production scheduling optimization methods.

[0099] Although the methods described above are illustrated and depicted as a series of actions for the sake of simplicity, it should be understood and appreciated that these methods are not limited by the order of the actions, as some actions may occur in a different order and / or concurrently with other actions from the illustrations and descriptions herein or not illustrated and described herein but which may be understood by those skilled in the art, according to one or more embodiments.

[0100] Those skilled in the art will further appreciate that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented as electronic hardware, computer software, or a combination of both. To clearly illustrate this interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps are described above in a generalized manner in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art may implement the described functionality in different ways for each specific application, but such implementation decisions should not be construed as departing from the scope of the invention.

[0101] The various illustrative logic modules and circuits described in conjunction with the embodiments disclosed herein may be implemented or performed using a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. The general-purpose processor may be a microprocessor, but in alternatives, it may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors cooperating with a DSP core, or any other such configuration.

[0102] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of both. The software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor such that the processor can read and write information to / from the storage medium. In an alternative, the storage medium may be integrated into the processor. The processor and storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative, the processor and storage medium may reside as discrete components in the user terminal.

[0103] In one or more exemplary embodiments, the described functionality may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functionality may be stored or transmitted as one or more instructions or code on or through a computer-readable medium. A computer-readable medium includes both computer storage media and communication media, encompassing any medium that facilitates the transfer of a computer program from one location to another. A storage medium may be any available medium accessible to a computer. By way of example and not limitation, such a computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and is accessible to a computer. Any connection is also legitimately referred to as a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of a medium. As used in this article, disk and disc include compact discs (CDs), laser discs, optical discs, digital multi-purpose discs (DVDs), floppy disks, and Blu-ray discs. Disks typically reproduce data magnetically, while discs reproduce data optically using lasers. Combinations of these should also be included within the scope of computer-readable media.

[0104] In summary, this invention provides an optimization method for cement production planning, an optimization device for cement production planning, and a computer-readable storage medium. It can comprehensively consider the correlation between various devices and links, and combine the influence of physical properties during mixing and transmission, thereby generating an efficient and accurate cement production plan, improving the accuracy of cement plant production plans, and thus improving production efficiency and product quality.

[0105] The prior description of this disclosure is provided to enable any person skilled in the art to make or use this disclosure. Various modifications to this disclosure will be apparent to those skilled in the art, and the general principles defined herein may be applied to other variations without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not intended to be limited to the examples and designs described herein, but should be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An optimization method for cement production planning and scheduling, characterized in that, Includes the following steps: Based on the cement supply chain process, determine the efficiency evaluation indicators for cement plants, wherein the supply chain process includes the procurement process, the production process, and the sales process. Extract the process units in the production process and construct the process simulation process of cement production; Based on the aforementioned process simulation flow, and with the goal of maximizing benefits, an objective function for cement production is constructed; and Based on the constraints of each process unit, the objective function is optimized to obtain the planned optimization model for cement production; and Based on the aforementioned planning optimization model, the planning optimization scheme for the cement plant is obtained.

2. The optimization method as described in claim 1, characterized in that, The profitability evaluation indicators of the cement plant include: the raw material cost of the cement plant in the procurement process, the energy consumption cost in the production process, and the product sales revenue in the sales process.

3. The optimization method as described in claim 2, characterized in that, The expression for the raw material cost of the cement plant in the procurement process within a single cycle is as follows: Where s is the intermediate material flow between the various devices in the production process, and mat s Ctst is the collection of raw materials purchased in the aforementioned procurement process. s The cost of purchasing the raw materials, Qu s This refers to the quantity of intermediate logistics in the production process. The energy consumption cost of the cement plant in the production process within a single cycle is expressed as follows: Energy consumption cost = ∑ ene eneCtst ene ×u_ene ene Wherein, ene represents the energy consumption in the production process, and eneCtst ene The unit price of the energy consumed, and u_ene ene The energy consumption of each device in the production process. The expression for the cement plant's product sales revenue in the sales process within a single cycle is as follows: Among them, cem s Pr is the set of products sold in the aforementioned sales process. s The price at which the product is sold.

4. The optimization method as described in claim 3, characterized in that, The production process includes a raw material preparation stage, a clinker calcination stage, and a cement grinding stage. The step of extracting each process unit in the production process and constructing a process simulation flow for cement production includes: At least a raw material unit is extracted in the raw material preparation stage; at least a processing unit, a material flow unit, a merging unit, and a diversion unit are extracted in the clinker calcination stage; and at least a blending unit and a product unit are extracted in the cement grinding stage. The process simulation flow of cement production is constructed based at least on the raw material unit, the processing unit, the logistics unit, the merging unit, the diversion unit, and the product unit.

5. The optimization method as described in claim 4, characterized in that, The steps for constructing an objective function for cement production based on the process simulation flow, with the goal of maximizing benefits, include: Based on the aforementioned process simulation flow, and using the profit obtained by the cement plant from a single sale of cement products during the sales phase as the output, the objective function is constructed, wherein the expression of the objective function is as follows: Wherein, Benefit is the total profit obtained by the cement plant from a single sale of cement products.

6. The optimization method as described in claim 5, characterized in that, The constraints of each of the process units include: raw material constraints in the raw material unit, constraints on logistics transfer and logistics properties in the logistics unit, and energy consumption constraints in the cement plant and processing unit.

7. The optimization method as described in claim 6, characterized in that, The raw material constraints in the raw material unit include the upper and lower limits of the raw material purchase quantity of the cement plant within a single cycle, and their expressions are as follows: Qu s ≤Qu_max s ,s∈cem s Qu s ≥Qu_min s ,s∈cem s Among them, Qu_max s Qu_min represents the maximum purchase quantity. s Indicates the minimum purchase quantity; The constraints on logistics transfer within the logistics unit include upper and lower limits for logistics transfer between processing devices, expressed as follows: What s ≤Qu_max s * What s ≥Qu_min s * Among them, Qu_max s * Qu_min represents the upper limit of material flow rate in the simulated process. s * This indicates the lower limit of material flow rate in the simulated process.

8. The optimization method as described in claim 6, characterized in that, The constraints on the logistics properties in the logistics unit include a first property constraint, a second property constraint, and a third property constraint. The first property constraint is for properties with fixed values, indicating that the raw material content in the logistics entering the processing device is a constant. The expression for the first property constraint is as follows: P s,p =P_fix s,p Among them, P s,p Tabular logistics properties, P_fix s,p A fixed value indicating the nature of logistics; The second property constraint is a constraint on the upper and lower limits of a property, indicating that the content of raw materials in the material entering the processing device is allowed to fluctuate. The expression for the second property constraint is as follows: P s,p ≤P_max s,p P s,q ≥P_min s,p Among them, P_max s,p P_min represents the upper limit of the logistics characteristics. s,p Indicates the lower limit of the logistics nature; The third property constraint is a constraint on the property transfer ratio, indicating that the raw material content in the previous logistics is transferred to the next logistics in a proportional manner. The expression of the third property constraint is as follows: P s1,q =k s,s1,q ×P s,q Where, k s,s1,q P represents the proportionality constant that transfers a certain property of logistics s to logistics s1. s,q P represents a certain property of logistics s. s1,q This represents a certain property of logistics s1.

9. The optimization method as described in claim 6, characterized in that, The energy consumption constraint of the cement plant is based on the upper and lower limits of the energy reserves within the cement plant, and its expression is as follows: u_ene ene ≤u_ene_max ene u_ene ene ≤u_ene_min ene Among them, u_ene_max ene Indicates the upper limit of energy consumption, u_ene_min ene Indicates the lower limit of energy consumption; The energy consumption constraint in the processing unit is a constraint on the energy consumption generated by each of the processing devices, and its expression is as follows: Where, n re,ene Represents the energy consumption generated per unit of processing, and re represents the set of processing devices.

10. The optimization method as described in claim 6, characterized in that, The constraints of each of the process units also include: Based on the basic yield model of the processing apparatus, the yield of the processing apparatus, which is only affected by the parameters of the processing apparatus, is obtained, wherein the expression of the basic yield model includes: Among them, Qu mac,ns Represents the total amount of feed material into each processing unit. mac Qu represents the collection of processing devices. mac,re,ns This indicates the amount of feed material entering any processing unit; What mac,re,ts < Wh mac,re,ns ×QuYieldmac,re,ns,ts (2) Among them, Qu mac,re,ts QuYieldmac,re,ns,ts represents the output material flow rate of any processing device, and QuYieldmac,re,ns,ts represents the output yield rate of the processing device when processing the feed material. Among them, Qu mac,ts This indicates the total amount of material output from each processing unit.

11. The optimization method as described in claim 6, characterized in that, The constraints of each of the process units also include: Based on the Delta-Base structural model of the processing device, the yield of the processing device, which is simultaneously affected by the parameters of the processing device and the properties of the material flow, is obtained, wherein the expression of the Delta-Base structural model includes: In this context, the meaning of formula (4) is the same as that of formula (1), q re QDelta represents the set of all properties. mac,re,q Q represents the forward differential perturbation of the feed properties and the fundamental point of the property that affects the amount of output in the processing scheme of the processing device. mac,re,ns,q QBase represents the quantity of the material flow characteristics in the processing scheme of the processing device. mac,re,q QStep represents the fundamental property that influences the output quantity of a processing device's processing scheme. mac,re,q This indicates the step size by which the processing scheme of the processing device affects the amount of material discharged. Formula (6) has the same meaning as formula (3).

12. The optimization method as described in claim 6, characterized in that, The constraints on each of the aforementioned process units also include constraints restricting the material balance and property transfer and balance of the merging unit, the expressions of which are as follows: Qu mix,ts =∑Qu mix,ns (7) Among them, Qu mix,ts Qu represents the amount of material discharged from the merged unit. mix,ns This indicates the amount of material entering the merged unit. Based on the mixing and transfer of physical properties, the formula for calculating the discharge properties is as follows: What mix,ts ×Q mix,ts,q =∑(Qu mix,ns ×Q mix,ns,q ) (8) Among them, Q mix,ts,q Q represents the quantity of material flow characteristics from the merged unit. mix,ns,q This indicates the quantity representing the nature of the material flow in the merged unit.

13. The optimization method as described in claim 6, characterized in that, The constraints on each of the process units also include constraints that limit the material balance and property transfer and balance of the blending unit, the expressions of which are as follows: Among them, re mix Qu represents the set of mixing schemes for harmonic units. mix,ns Qu represents the amount of feed material into the blending unit. mix,re,ns This indicates the amount of feed material in the mixing scheme of the blending unit; What mix,re,ts < Wh mix,re,ns ×QuYieldmix,re,ns,ts (10) Among them, Qu mix,re,ts QuYieldmix,re,ns,ts represents the output stream of the mixing scheme in the blending unit, and QuYieldmix,re,ns,ts represents the yield of the output stream when the mixing scheme in the blending unit is fed in. Among them, Qu mix,ts This indicates the amount of material discharged from the blending unit; Based on the mixing and transfer of physical properties, the formula for calculating the discharge properties is as follows: Among them, Q mix,ts,q Q represents the quantity of material flow characteristics from the blending unit. mix,re,ns,q This indicates the quantity representing the properties of the feed material in the mixing scheme of the mixing unit.

14. The optimization method as described in claim 6, characterized in that, The constraints of each of the process units also include: the processing quantity constraint of the processing device, the expression of which is as follows: Where pow represents the name of the processing quantity used, MPow pow Qu represents the value indicating the amount of processing. pow,re Re represents the total processing volume of the scheme using the aforementioned processing volume. pow,re This indicates the scheme using the stated processing volume, PowTotal pow,re This indicates the proportion of the total processing volume using the aforementioned processing volume scheme.

15. The optimization method according to any one of claims 6 to 14, characterized in that, The step of optimizing the objective function based on the constraints of each process unit to obtain the planning optimization model for cement production includes: Initialize the processing information of each of the aforementioned processing devices; The system pre-sets the basic processing parameters of the cement plant, the parameters of the processing equipment, the three ratios of cement raw meal and clinker, the parameters of the logistics merging model, the product blending parameters, the property transfer parameters, and the property given parameters; and... Based on the parameters, a mixed-integer nonlinear programming algorithm is invoked to solve the objective function, thereby obtaining the optimized plan for the cement plant under normal operating conditions.

16. An optimization device for cement production planning, characterized in that, include: Memory; as well as A processor, connected to the memory, is configured to implement the optimized method for cement production scheduling as described in any one of claims 1 to 15.

17. A computer-readable storage medium storing computer instructions thereon, characterized in that, When the computer instructions are executed by the processor, the optimization method for cement production planning as described in any one of claims 1 to 15 is implemented.

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