Smelting whole-process zinc control method and system

Abstract

The invention relates to the technical field of iron and steel smelting, and particularly provides a smelting full-process zinc control method and system.The method comprises the steps that the inventory and the market value of zinc-containing impurities are monitored, and the zinc-containing impurities are sorted based on the inventory and the market value; detecting the actual product zinc content of each process, and calculating the raw material zinc content of the corresponding process based on the actual product zinc content and a pre-constructed zinc content calculation model; and selecting target zinc-containing impurities according to the sequence of the zinc-containing impurities, and calculating the demand quantity of the target zinc-containing impurities based on the zinc content of the raw material, the zinc content of a preset standard raw material and the zinc content of the target zinc-containing impurities. According to the method, the differentiated requirements of different working procedures for the high-zinc iron-containing miscellaneous materials can be accurately met, resource allocation is optimized, and resource waste is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of steel smelting, and in particular relates to a zinc control method and system for the entire smelting process. Background Art

[0002] The current difficulties faced by zinc element control technology are profoundly reflected in two core aspects. On the one hand, the practical operation in this field still relies heavily on theoretical research or the accumulation of personal experience, lacking a unified and efficient standard system. This dependence leads to control measures often being limited to certain specific links in the production chain, making it difficult to achieve global optimization and coordination.

[0003] More specifically, the existing zinc element control technology mainly adopts the method of periodic sampling and fixed parameter control. The limitation of this method is that it is difficult to accurately reflect the dynamic changes of zinc elements in the production process in real time, which in turn causes a disconnect between control links and unreasonable allocation of resources among various links. This disconnect not only reduces production efficiency, but also increases unnecessary cost expenditures.

[0004] At the same time, due to the relative lag and rigidity of control methods, the volatility of zinc content entering the furnace has increased significantly, which undoubtedly poses a severe challenge to the stability and consistency of production quality. The limited control accuracy has further weakened the company's dominant position in market competition and is not conducive to its long-term development. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method and system for controlling zinc in the entire smelting process to solve the above-mentioned technical problems.

[0006] In a first aspect, the present invention provides a method for controlling zinc in the whole smelting process, comprising: Monitoring the inventory and market value of zinc-containing miscellaneous materials, and ranking the zinc-containing miscellaneous materials based on the inventory and market value; Detecting the zinc content of the actual product of each process, and calculating the zinc content of the raw material of the corresponding process based on the zinc content of the actual product and a pre-built zinc content calculation model; Target zinc-containing miscellaneous materials are selected according to the ranking of the zinc-containing miscellaneous materials, and the target zinc-containing miscellaneous materials demand is calculated based on the zinc content of the raw materials, the preset standard zinc content of the raw materials, and the zinc content of the target zinc-containing miscellaneous materials.

[0007] In an optional embodiment, monitoring the inventory and market value of zinc-containing miscellaneous materials, and sorting the zinc-containing miscellaneous materials based on the inventory and market value, comprises: Set inventory quantity weight and market value weight; The weighted sum of the inventory area and the market value of the zinc-containing miscellaneous materials is calculated, and the zinc-containing miscellaneous materials are sorted from large to small according to the weighted sum.

[0008] In an optional embodiment, the zinc content of the actual product of each process is detected, and the zinc content of the raw material of the corresponding process is calculated based on the zinc content of the actual product and a pre-constructed zinc content calculation model, including: Detecting the zinc content of the actual products from the sintering process, blast furnace process and dezincification process, wherein the zinc content of the actual products includes the zinc content in the kiln slag and the zinc content in the secondary zinc oxide; The actual zinc content of the product and the actual process parameters of the corresponding process are used as feature data and input into a pre-trained linear regression model, and the zinc content of the raw material is solved through reverse calculation.

[0009] In an optional embodiment, the method further comprises: The standard range for setting the zinc content of products includes the zinc content of kiln slag less than 0.6% and the zinc content of secondary zinc oxide not less than 40%; Compare the detected zinc content of kiln slag and zinc secondary oxide with the set standard range; If the zinc content of the slag is less than 0.6%, the slag will be directly discharged; if the zinc content of the slag is not less than 0.6%, the slag will be used as the raw material for the next process; If the zinc content of the tested zinc oxide is not less than 40%, the zinc oxide will be discharged as a qualified product; if the zinc content of the tested zinc oxide is less than 40%, the zinc oxide will be deemed unqualified and needs to be purified.

[0010] In an optional embodiment, target zinc-containing miscellaneous materials are selected according to the ranking of the zinc-containing miscellaneous materials, and the target zinc-containing miscellaneous materials requirement is calculated based on the zinc content of the raw materials, the preset standard zinc content of the raw materials, and the zinc content of the target zinc-containing miscellaneous materials, including: Select the zinc-containing impurities with the highest ranking as the target zinc-containing impurities; The target zinc-containing miscellaneous material demand is calculated based on the zinc content of the raw materials, the current total amount of raw materials and the zinc content of the target zinc-containing miscellaneous materials. The calculation formula is: , Among them, k1 is the zinc content ratio of the current raw material, Z1 is the current total amount of raw materials, k2 is the zinc content ratio of the target zinc-containing miscellaneous materials, Z2 is the target zinc-containing miscellaneous materials demand, and k3 is the zinc content ratio of the standard raw material.

[0011] In a second aspect, the present invention provides a zinc control system for the entire smelting process, comprising: A comprehensive sorting module, for monitoring the inventory and market value of zinc-containing miscellaneous materials, and sorting the zinc-containing miscellaneous materials based on the inventory and market value; A model prediction module is used to detect the zinc content of the actual product of each process, and calculate the zinc content of the raw material of the corresponding process based on the zinc content of the actual product and a pre-built zinc content calculation model; The target calculation module is used to select target zinc-containing miscellaneous materials according to the zinc-containing miscellaneous materials ranking, and calculate the target zinc-containing miscellaneous materials demand based on the zinc content of the raw materials, the preset standard zinc content of the raw materials, and the zinc content of the target zinc-containing miscellaneous materials.

[0012] In an optional embodiment, the comprehensive ranking module includes: A weight setting unit, used to set the inventory weight and market value weight; The comprehensive sorting unit is used to calculate the weighted sum of the inventory area and market value of zinc-containing miscellaneous materials, and sort the zinc-containing miscellaneous materials from large to small according to the weighted sum.

[0013] In an optional embodiment, the model prediction module includes: A product detection unit, used to detect the actual zinc content of products from the sintering process, blast furnace process and dezincification process, wherein the actual zinc content of the products includes the zinc content of kiln slag and the zinc content of secondary zinc oxide; The model calculation unit is used to input the actual zinc content of the product and the actual process parameters of the corresponding process as feature data into a pre-trained linear regression model, and solve the zinc content of the raw material through reverse calculation.

[0014] In a third aspect, a device is provided, including: Memory, used to store zinc control program for the entire smelting process; A processor is used to implement the steps of the whole-process zinc control method for smelting as provided in the first aspect when executing the whole-process zinc control program for smelting.

[0015] In a fourth aspect, a computer-readable storage medium is provided, on which a zinc control program for the entire smelting process is stored. When the zinc control program for the entire smelting process is executed by a processor, the steps of the zinc control method for the entire smelting process provided in the first aspect are implemented.

[0016] The beneficial effect of the present invention is that the zinc control method and system for the entire smelting process provided by the present invention realizes dynamic monitoring and strategy adjustment of zinc elements by covering all-round management from raw materials to finished products, accurately adapts to the differentiated needs of different processes for high-zinc and iron-containing miscellaneous materials, optimizes resource allocation, and reduces resource waste.

[0017] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

[0020] Figure 2 It is a flow chart of an application scenario of a method according to an embodiment of the present invention.

[0021] Figure 3 is a schematic block diagram of a system according to an embodiment of the present invention.

[0022] Figure 4 A schematic diagram of the structure of a device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0025] The zinc control method for the whole smelting process provided by the embodiment of the present invention is executed by a computer device, and accordingly, the zinc control system for the whole smelting process runs in the computer device.

[0026] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention. Figure 1 The execution subject can be a zinc control system for the entire smelting process. According to different requirements, the order of the steps in the flow chart can be changed, and some can be omitted.

[0027] like Figure 1 As shown, the method includes: S1. monitor the inventory and market value of zinc-containing miscellaneous materials, and sort the zinc-containing miscellaneous materials based on the inventory and market value; S2. Detecting the actual zinc content of the product of each process, and calculating the zinc content of the raw material of the corresponding process based on the actual zinc content of the product and the pre-built zinc content calculation model; S3. Select target zinc-containing miscellaneous materials according to the ranking of the zinc-containing miscellaneous materials, and calculate the target zinc-containing miscellaneous material demand based on the zinc content of the raw materials, the preset standard zinc content of the raw materials, and the zinc content of the target zinc-containing miscellaneous materials.

[0028] In an embodiment of the present invention, based on step S1, a possible embodiment is given below to illustrate its specific implementation scheme in a non-limiting manner.

[0029] S101. Set inventory weight and market value weight Setting of inventory weights: Inventory weights reflect the company's sensitivity to inventory fluctuations and the role of inventory in ensuring production continuity.

[0030] The weight setting needs to consider factors such as the company's production scale, supply chain stability, and volatility of raw material demand.

[0031] Generally, for zinc-containing miscellaneous materials with stable demand and easily consumed inventory, the inventory weight can be appropriately reduced; while for miscellaneous materials with large demand fluctuations and tight supply, the inventory weight should be increased.

[0032] Setting of market value weights: Market value weights reflect the impact of changes in raw material prices on corporate costs.

[0033] The weight setting needs to consider factors such as the market supply and demand situation of raw materials, price fluctuation trends, and procurement difficulty.

[0034] For zinc-containing miscellaneous materials with large price fluctuations and difficult procurement, the market value weight should be increased; while for miscellaneous materials with stable prices and easy procurement, the market value weight can be appropriately reduced.

[0035] S102. Calculate the weighted sum of the stock area and market value of zinc-containing miscellaneous materials According to the set inventory weight and market value weight, calculate the inventory weighted value and market value weighted value of each zinc-containing miscellaneous material.

[0036] Inventory quantity weighted value = inventory quantity × inventory quantity weight; market value weighted value = market value × market value weight.

[0037] Add the weighted value of inventory quantity and the weighted value of market value of each zinc-containing miscellaneous material to obtain the comprehensive weighted sum.

[0038] S103. Sort the zinc-containing miscellaneous materials according to the weighted sum from large to small According to the calculated comprehensive weighted sum, the zinc-containing miscellaneous materials are sorted.

[0039] The larger the weighted sum of the miscellaneous materials is, the higher its importance is in inventory management and procurement decisions, and its inventory management and procurement plans should be given priority.

[0040] Through sorting, companies can more clearly understand the importance and priority of various zinc-containing miscellaneous materials, thereby formulating more scientific and reasonable inventory management and procurement strategies.

[0041] In an embodiment of the present invention, based on step S2, a possible embodiment is given below to illustrate its specific implementation scheme in a non-limiting manner.

[0042] S201. Detect the actual zinc content of the product Sintering process: Detection of zinc content in slag: During the sintering process, slag is a by-product, and its zinc content directly reflects the conversion efficiency of zinc in the sintering raw materials. By regularly sampling and testing the zinc content of slag, the loss of zinc in the sintering process can be obtained.

[0043] Blast furnace process: Zinc content detection of blast furnace slag: In the blast furnace smelting process, the zinc content of slag is also important. The zinc content of blast furnace slag is not only related to the zinc content of the raw materials, but also affected by the blast furnace operating conditions (such as temperature, pressure, reducing atmosphere, etc.).

[0044] Dezincification process: Zinc content in secondary zinc oxide: The dezincification process is to extract zinc from zinc-containing materials to produce secondary zinc oxide and other products. The zinc content of secondary zinc oxide directly reflects the efficiency of the dezincification process and the quality of the product.

[0045] S202. Collect actual process parameters In the sintering, blast furnace and dezincification processes, a series of actual process parameters need to be recorded and collected, including but not limited to: Raw material ratio and composition, sintering temperature and time, blast furnace temperature, pressure and permeability, dezincification reaction conditions (such as temperature, pH, reaction time, etc.).

[0046] These parameters are crucial to understanding the transformation and loss mechanism of zinc in each process.

[0047] S203. Build and train a linear regression model Feature data preparation: The actual zinc content of the products of each process (zinc content in kiln slag, zinc content in blast furnace slag, zinc content in secondary zinc oxide) and the corresponding process parameters are taken as characteristic data.

[0048] Model construction: The linear regression model is used to construct the mapping relationship between the zinc content of raw materials and the characteristic data.

[0049] Model training: Use historical data to train the linear regression model and optimize the model parameters to minimize the error between the predicted value and the actual value.

[0050] S204. Reverse calculation to determine the zinc content of raw materials Real-time data input: In the actual production process, the actual product zinc content and process parameters of each process are collected and input in real time.

[0051] Model predictions: The real-time data is input into the trained linear regression model to predict the zinc content of the raw materials.

[0052] Reverse calculation: Although the linear regression model itself does not directly support inverse calculation, the zinc content of the raw material can be indirectly solved by solving the equation system (when the model parameters are known) or using reverse reasoning from the model prediction results. This usually involves interpretation and correction of the model output and adjustments based on actual production experience.

[0053] Result verification and optimization: Verify the accuracy of the reverse calculation results and tune the model according to actual production conditions to improve prediction accuracy and reverse calculation accuracy.

[0054] Furthermore, after testing the zinc content of the products in each process, it is necessary to analyze the zinc content of the products, including: 1. Set the standard range of zinc content in products In order to ensure product quality and the stability of the production process, it is necessary to clearly set the standard range of zinc content in the product: Zinc content standard of kiln slag: As a by-product of zinc smelting, the zinc content of kiln slag should be strictly controlled below 0.6%. This standard aims to reduce the loss of zinc and improve resource utilization.

[0055] Zinc content standard of zinc oxide: As the main product in the zinc smelting or purification process, the zinc content of zinc oxide should not be less than 40%. This standard ensures the purity and market competitiveness of the product.

[0056] 2. Testing and comparing the zinc content of products During the production process, the zinc content of kiln slag and zinc oxide needs to be tested regularly or in real time, and compared with the set standard range: Detection and comparison of zinc content in kiln slag: Collect kiln slag samples and use professional testing equipment or methods to determine their zinc content.

[0057] Compare the test results with the 0.6% standard: If the test result is lower than 0.6%, it indicates that the loss of zinc in the slag is small, and the slag can be directly discharged as waste or further processed according to production needs.

[0058] If the test result is not less than 0.6%, it means that the slag contains a high amount of zinc and has recycling value. At this time, the slag should be used as the raw material for the next process (such as blast furnace smelting or dezincification process) to achieve the recycling of zinc elements.

[0059] Detection and comparison of zinc content in zinc oxide: Collect zinc oxide samples and determine their zinc content using professional testing equipment or methods.

[0060] Compare the test results with the 40% standard: If the test result is not less than 40%, it means that the purity of zinc oxide meets the requirements and can be discharged as a qualified product for subsequent processing or sales.

[0061] If the test result is lower than 40%, it indicates that the purity of zinc oxide is insufficient and needs to be purified to increase its zinc content and product quality.

[0062] 3. Product Processing and Decision Making According to the test results and standard comparison results, make corresponding product processing and production decisions: Slag treatment: Kiln slag with zinc content lower than 0.6% shall be directly discharged or disposed of harmlessly.

[0063] The kiln slag with zinc content not less than 0.6% is reused as raw material for the next process.

[0064] Zinc Oxide Treatment: Zinc oxide with a zinc content of not less than 40% is discharged as a qualified product for subsequent processing or sales.

[0065] For zinc oxide with a zinc content of less than 40%, purification treatment is carried out to improve its zinc content and product quality. The purification treatment may involve chemical precipitation, electrolytic refining, extraction and other methods. The specific selection needs to be determined based on the actual production situation and cost-benefit analysis.

[0066] In this way, the recycling of zinc-containing miscellaneous materials can be achieved.

[0067] In an embodiment of the present invention, based on step S3, a possible embodiment is given below to illustrate its specific implementation scheme in a non-limiting manner.

[0068] Select the zinc-containing impurities with the highest ranking as the target zinc-containing impurities; The target zinc-containing miscellaneous material demand is calculated based on the zinc content of the raw materials, the current total amount of raw materials and the zinc content of the target zinc-containing miscellaneous materials. The calculation formula is: , Among them, k1 is the zinc content ratio of the current raw material, Z1 is the current total amount of raw materials, k2 is the zinc content ratio of the target zinc-containing miscellaneous materials, Z2 is the target zinc-containing miscellaneous materials demand, and k3 is the zinc content ratio of the standard raw material.

[0069] The k3 (standard raw material zinc content ratio) in the formula needs to be flexibly adjusted according to production requirements and product standards.

[0070] Please refer to Figure 2 In actual application scenarios, the zinc control process is as follows: 1. Combined with the physicochemical properties of zinc-containing impurities and the consumption capacity of sintering, blast furnace, dezincification and other processes, the ZnO control standard of raw materials in each process is determined, as shown in Table 1.

[0071] Table 1 ZnO control standards of raw materials in each process

[0072] 2. Determine the zinc-containing impurity structure, production process parameters and raw material quality control standards in the dezincification process, and improve the grade of secondary zinc oxide and the zinc removal capacity of the system while ensuring the stability of the kiln conditions.

[0073] The control standards of ZnO for various types of iron-containing impurities entering the kiln are shown in Table 2: Table 2

[0074] The quality objectives of dezincification products are shown in Table 3: Table 3

[0075] 3. A calculation model for the zinc element balance of the entire process of steelmaking, dezincification, sintering and blast furnace was established to calculate the zinc element balance. The calculation results are shown in Tables 4 and 5.

[0076] Table 4

[0077] Table 5

[0078] 4. When the zinc content in the system exceeds the control standard and zinc element needs to be cut off, the value of high-zinc and iron-containing miscellaneous materials is dynamically calculated and ranked based on the current market price of iron and steel related raw materials and the zinc content level in the system, and the treatment mode is determined according to the principle of maximizing comprehensive benefits.

[0079] 5. Establish the zinc load control standard for the ton of iron and zinc in the blast furnace of the ironmaking plant, and achieve stable control of the zinc load entering the furnace to no more than 0.3kg.

[0080] 6. Develop a sludge storage and circulation model for the dezincification production line to ensure that the sludge inventory is stable at 6,000t to 8,000t under normal production conditions, so that all high-zinc sludge within the company is consumed by the dezincification production line, and gravity dust removal ash is no longer sold out.

[0081] The zinc control method for the whole smelting process provided by the present invention has the following advantages: 1. Deep integration of science and practice: This technology is rooted in solid scientific theories and closely linked to production practices, ensuring the pertinence and effectiveness of zinc management measures and improving the scientificity and accuracy of zinc element management throughout the entire process.

[0082] 2. Intelligent management and control of the entire chain: Through all-round management covering raw materials to finished products, dynamic monitoring and strategy adjustment of zinc elements can be achieved, accurately adapting to the differentiated needs of different processes for high-zinc and iron-containing miscellaneous materials, optimizing resource allocation and reducing resource waste.

[0083] 3. Real-time dynamic optimization: Utilize advanced data analysis technology to dynamically capture changes in zinc distribution and instantly adjust control strategies to ensure continuous stability of zinc load during production, thereby improving response flexibility and control accuracy.

[0084] 4. High-efficiency and low-cost emission strategy: When abnormal zinc concentration is detected, economical and efficient emission measures can be quickly initiated, which not only protects the safety of blast furnace operation, but also takes into account economic benefits, achieving a win-win situation for the environment and benefits.

[0085] 5. Closed-loop zinc recycling system: Build a complete management system from reception to disposal, strengthen the recycling capacity of zinc-containing miscellaneous materials, especially by improving the efficiency of dezincification production lines, ensure that all high-zinc and iron-containing miscellaneous materials are fully recycled and reused, and promote the realization of the "zero emission" goal.

[0086] 6. Environmentally friendly storage: Optimize storage solutions, take into account inventory capacity and environmental standards, ensure that zinc-containing materials are stored under strictly controlled conditions, reduce environmental risks, and reflect the green and environmentally friendly production concept.

[0087] In some embodiments, the zinc smelting process control system may include multiple functional modules composed of computer program segments. The computer programs of each program segment in the zinc smelting process control system may be stored in the memory of a computer device and executed by at least one processor to execute (see Figure 1 Description) The function of controlling zinc in the whole smelting process.

[0088] In this embodiment, the zinc control system for the entire smelting process can be divided into multiple functional modules according to the functions it performs, such as Figure 3 As shown. The functional modules of the system 300 may include: a comprehensive sorting module 310, a model prediction module 320 and a target calculation module 330. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0089] A comprehensive sorting module, for monitoring the inventory and market value of zinc-containing miscellaneous materials, and sorting the zinc-containing miscellaneous materials based on the inventory and market value; A model prediction module is used to detect the zinc content of the actual product of each process, and calculate the zinc content of the raw material of the corresponding process based on the zinc content of the actual product and a pre-built zinc content calculation model; The target calculation module is used to select target zinc-containing miscellaneous materials according to the zinc-containing miscellaneous materials ranking, and calculate the target zinc-containing miscellaneous materials demand based on the zinc content of the raw materials, the preset standard zinc content of the raw materials, and the zinc content of the target zinc-containing miscellaneous materials.

[0090] Optionally, as an embodiment of the present invention, the comprehensive sorting module includes: A weight setting unit, used to set the inventory weight and market value weight; The comprehensive sorting unit is used to calculate the weighted sum of the inventory area and market value of zinc-containing miscellaneous materials, and sort the zinc-containing miscellaneous materials from large to small according to the weighted sum.

[0091] Optionally, as an embodiment of the present invention, the model prediction module includes: A product detection unit, used to detect the actual zinc content of products from the sintering process, blast furnace process and dezincification process, wherein the actual zinc content of the products includes the zinc content of kiln slag and the zinc content of secondary zinc oxide; The model calculation unit is used to input the actual zinc content of the product and the actual process parameters of the corresponding process as feature data into a pre-trained linear regression model, and solve the zinc content of the raw material through reverse calculation.

[0092] Figure 4The zinc control method for the whole process of smelting provided for the embodiment of the present application can be applied to the equipment. It can be understood by those skilled in the art that the equipment structure involved in the embodiment of the present invention does not constitute a limitation on the equipment, and the equipment may include more or less components than shown in the figure, or combine certain components, or arrange different components. In an embodiment of the present invention, the equipment includes but is not limited to laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The equipment can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the embodiments of the present application described and / or required herein.

[0093] The device 400 may include: a processor 410, a memory 420 and a communication unit 430. These components communicate via one or more buses. Those skilled in the art will appreciate that the server structure shown in the figure does not limit the present invention, and it may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange components differently.

[0094] The memory 420 may be used to store the execution instructions of the processor 410, and the memory 420 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. When the execution instructions in the memory 420 are executed by the processor 410, the device 400 is enabled to perform some or all of the steps in the following method embodiments.

[0095] The processor 410 is the control center of the storage device, and uses various interfaces and lines to connect various parts of the entire electronic device. It runs or executes software programs and / or modules stored in the memory 420, and calls data stored in the memory to perform various functions of the electronic device and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of a plurality of packaged ICs with the same or different functions. For example, the processor 410 can include only a central processing unit (CPU). In an embodiment of the present invention, the CPU can be a single computing core or multiple computing cores.

[0096] The communication unit 430 is used to establish a communication channel so that the storage device can communicate with other devices, receive user data sent by other devices or send user data to other devices.

[0097] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0098] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes, including several instructions for enabling a computer device (which can be a personal computer, a server, or a second device, a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention.

[0099] In this specification, the same or similar parts between the various embodiments can be referred to each other. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiment.

[0100] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or modules, which can be electrical, mechanical or other forms.

[0101] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0103] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. A method for controlling zinc in the whole process of smelting, characterized in that: include: Monitoring the inventory and market value of zinc-containing miscellaneous materials, and ranking the zinc-containing miscellaneous materials based on the inventory and market value; Detecting the zinc content of the actual product of each process, and calculating the zinc content of the raw material of the corresponding process based on the zinc content of the actual product and a pre-built zinc content calculation model; Target zinc-containing miscellaneous materials are selected according to the ranking of the zinc-containing miscellaneous materials, and the target zinc-containing miscellaneous materials demand is calculated based on the zinc content of the raw materials, the preset standard zinc content of the raw materials, and the zinc content of the target zinc-containing miscellaneous materials.

2. The method according to claim 1, characterized in that Monitoring the inventory and market value of zinc-containing miscellaneous materials, and ranking the zinc-containing miscellaneous materials based on inventory and market value, including: Set inventory quantity weight and market value weight; The weighted sum of the inventory area and the market value of the zinc-containing miscellaneous materials is calculated, and the zinc-containing miscellaneous materials are sorted from large to small according to the weighted sum.

3. The method according to claim 1, characterized in that Detecting the zinc content of the actual product of each process, and calculating the zinc content of the raw material of the corresponding process based on the zinc content of the actual product and a pre-built zinc content calculation model, including: Detecting the zinc content of the actual products from the sintering process, blast furnace process and dezincification process, wherein the zinc content of the actual products includes the zinc content in the kiln slag and the zinc content in the secondary zinc oxide; The actual zinc content of the product and the actual process parameters of the corresponding process are used as feature data and input into a pre-trained linear regression model, and the zinc content of the raw material is solved through reverse calculation.

4. The method according to claim 3, characterized in that The method further comprises: The standard range for setting the zinc content of products includes the zinc content of kiln slag less than 0.6% and the zinc content of secondary zinc oxide not less than 40%; Compare the detected zinc content of kiln slag and zinc secondary oxide with the set standard range; If the zinc content of the slag is less than 0.6%, the slag will be directly discharged; if the zinc content of the slag is not less than 0.6%, the slag will be used as the raw material for the next process; If the zinc content of the tested zinc oxide is not less than 40%, the zinc oxide will be discharged as a qualified product; if the zinc content of the tested zinc oxide is less than 40%, the zinc oxide will be deemed unqualified and needs to be purified.

5. The method according to claim 3, characterized in that: According to the sequence of the zinc-containing miscellaneous materials, target zinc-containing miscellaneous materials are selected, and based on the zinc content of the raw materials, the preset standard zinc content of the raw materials, and the zinc content of the target zinc-containing miscellaneous materials, the target zinc-containing miscellaneous materials demand is calculated, including: Select the zinc-containing impurities with the highest ranking as the target zinc-containing impurities; The target zinc-containing miscellaneous material demand is calculated based on the zinc content of the raw materials, the current total amount of raw materials and the zinc content of the target zinc-containing miscellaneous materials. The calculation formula is: ， Among them, k1 is the zinc content ratio of the current raw material, Z1 is the current total amount of raw materials, k2 is the zinc content ratio of the target zinc-containing miscellaneous materials, Z2 is the target zinc-containing miscellaneous materials demand, and k3 is the zinc content ratio of the standard raw material.

6. A zinc control system for the entire smelting process, characterized in that: include: A comprehensive sorting module, for monitoring the inventory and market value of zinc-containing miscellaneous materials, and sorting the zinc-containing miscellaneous materials based on the inventory and market value; A model prediction module is used to detect the zinc content of the actual product of each process, and calculate the zinc content of the raw material of the corresponding process based on the zinc content of the actual product and a pre-built zinc content calculation model; The target calculation module is used to select target zinc-containing miscellaneous materials according to the zinc-containing miscellaneous materials ranking, and calculate the target zinc-containing miscellaneous materials demand based on the zinc content of the raw materials, the preset standard zinc content of the raw materials, and the zinc content of the target zinc-containing miscellaneous materials.

7. The system according to claim 6, characterized in that The comprehensive sorting module comprises: A weight setting unit, used to set the inventory weight and market value weight; The comprehensive sorting unit is used to calculate the weighted sum of the inventory area and market value of zinc-containing miscellaneous materials, and sort the zinc-containing miscellaneous materials from large to small according to the weighted sum.

8. The system according to claim 6, characterized in that The model prediction module includes: A product detection unit, used to detect the actual zinc content of products from the sintering process, blast furnace process and dezincification process, wherein the actual zinc content of the products includes the zinc content of kiln slag and the zinc content of secondary zinc oxide; The model calculation unit is used to input the actual zinc content of the product and the actual process parameters of the corresponding process as feature data into a pre-trained linear regression model, and solve the zinc content of the raw material through reverse calculation.

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