Sinter mixing ore warehouse control and matching method and system based on ingredient difference

Abstract

The application discloses a sintering mixed ore warehouse control and matching method and system based on component difference, utilizes a LIBS device to detect and obtain a SiO2 heap average value of a mixed ore heap, and continuously detects and calculates the SiO2 real-time cycle average value of the mixed ore according to a preset calculation period; a first classification threshold value delta 1 and a second classification threshold value delta 2 are set according to historical data of the SiO2 of the mixed ore, the deviation absolute value of the real-time cycle average value and the heap average value is divided into multiple deviation intervals, and a fixed deviation interval is allocated to each mixed ore batching bin; according to the deviation interval in which the real-time cycle average value obtained in each calculation period is located, the unloading vehicle is controlled to move to the corresponding mixed ore batching bin for feeding; through the LIBS, real-time monitoring and scientific classification of components in the whole process are realized, and material classified management according to component fluctuations is realized from the source; complete automation and precise scheduling of material taking and warehouse feeding operations are realized, and the problems of material interruption, material overflow and component mixed bins are effectively eliminated.

Description

Technical Field

[0001] This invention relates to the field of sintering production technology in iron and steel metallurgy, specifically to a method and system for controlling and distributing sintered mixed ore entering the silo based on compositional differences. Background Technology

[0002] In sintering production in iron and steel metallurgy, sintered blended ore is a key material for ensuring the stability of blast furnace ironmaking raw materials. Its SiO2 content is a core indicator affecting the basicity, strength, and metallurgical properties of sintered ore. Traditional blended ore loading operations mostly adopt a crude mode of sequential unloading and indiscriminate loading, which has significant technical defects: First, there is a lack of real-time online detection methods for SiO2 composition throughout the entire process of stockpiling and material removal, making it difficult to grasp the fluctuation pattern of material composition, resulting in large deviations in the composition of blended ore in a single stockpile; Second, the loading control logic is simplistic, relying solely on the stockpile's inventory for simple start-stop operations, without combining material composition with intelligent linkage control of stockpile inventory, which easily leads to problems such as overflow when the stockpile is full, material shortage when the stockpile is empty, or concentrated loading of materials with component segregation; Third, the proportioning adjustment in the batching stage relies on manual experience and fails to incorporate weighted optimization based on the actual composition of each stockpile, making it difficult to ensure that the overall SiO2 average of the blended ore stably matches the target value of the large stockpile, resulting in frequent fluctuations in core indicators such as the basicity of the sintered ore, which restricts the improvement of production quality and efficiency.

[0003] For example, Chinese invention patent application (application number 202511392788.X) discloses an automatic feeding control method and system for batching ore bins, which relates to the field of batching and mixing technology in sintering production. The method includes the following steps: if the real-time material quantity of a single ore bin is less than the lower limit threshold of the single bin or the real-time total ore quantity in the bin is less than the lower limit threshold of the total ore quantity, the raw material feeding procedure is triggered; the ore bin with the lowest current material level is determined as the target feeding ore bin, and the feeding process of the target feeding ore bin is started; the feeding of the target feeding ore bin is completed; it is determined whether the real-time total ore quantity in the bin is not less than the upper limit threshold of the total ore quantity; the above steps are repeated until the real-time total ore quantity in the bin is not less than the upper limit threshold of the total ore quantity; the ore bins that do not meet the preset supply time under the current situation are fed until all ore bins meet the preset supply time, and the raw material feeding procedure is ended. The method of this invention realizes automatic feeding of the batching ore bins in the batching room and reduces the frequency of feeding and switching of the mixing ore bins and the frequency of feeding the mixing ore in the batching room; however, the bin feeding control logic is simple, and it only starts and stops based on the bin's inventory, without combining the material composition with the bin's inventory for intelligent linkage and control, which can easily lead to problems such as bin overflow when full, bin interruption when empty, or concentrated feeding of materials with component segregation into the bin. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and system for controlling and distributing sintered mixed ore in the warehouse based on compositional differences, which can stabilize the quality indicators of sintered ore and improve the automation level of sintering production.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A method for controlling and distributing sintered blended ore entering the silo based on compositional differences, comprising installing LIBS (laser-induced breakdown spectrometer) devices on the conveyor belts of the stacker and the reclaimer, respectively, and the method includes the following steps: S1: Using the LIBS device on the stacker conveyor belt, detect and obtain the average SiO2 value x̄ of the blended ore pile; after starting the blended ore reclaiming operation, use the LIBS device on the reclaimer conveyor belt to continuously detect the real-time SiO2 value of the blended ore at fixed time intervals, and continuously detect and calculate the real-time periodic average SiO2 value x of the blended ore according to the preset calculation period t. i The calculation period t ranges from 5 to 8 minutes, with a fixed time interval of 10-20 seconds for each test.

[0006] S2: Based on the historical SiO2 data of the mixed ore, set the first classification threshold δ1 and the second classification threshold δ2, and set the real-time periodic average x i The absolute value of the deviation from the mass average x̄ is divided into multiple deviation intervals, specifically as follows: |x̄| ... i The batches with -x̄|≤δ1 account for 60%-70% of the total batches (preferably 66.67%), and δ1<|x̄|≤δ1. i The batches with -x̄|≤δ2 account for 10%-20% of the total batches (preferably 16.67%), |x i The batches tested for -x̄|>δ2 accounted for 10%-20% of the total batches (preferably 16.66%), and |x i The interval -x̄|≤δ1 is subdivided into two subintervals: [-δ1, 0) and [0, δ1]. A fixed deviation range is assigned to each blending ore batching bin to receive blending ore of the corresponding component range; specifically, when there are six blending ore batching bins, the fixed deviation range assigned to each blending ore batching bin is as follows: the first blending ore batching bin receives blending ore with a deviation range of (δ1, δ2], the second and third blending ore batching bins receive blending ore with a deviation range of [-δ1, 0), the fourth and fifth blending ore batching bins receive blending ore with a deviation range of [0, δ1], and the sixth blending ore batching bin receives blending ore with a deviation absolute value greater than δ2.

[0007] S3: Starting from material feeding, x is obtained based on each calculation cycle t. iWithin the specified deviation range, the unloading vehicle is controlled to move to the corresponding blending ore batching bin assigned in step S2 for feeding. If a deviation range is assigned to multiple blending ore batching bins, the bin with the lowest inventory level is selected for feeding, and switching between multiple blending ore batching bins is performed based on the upper limit threshold of the inventory level of a single blending ore batching bin. The system process duration LCS satisfies: LCS > 2t + HX max HX max This is the longest switching time for the unloading truck between any two mixed ore batching bins, ensuring seamless connection between the component testing cycle and the unloading truck bin-changing operation in terms of time sequence, avoiding conflicts or delays caused by equipment operation time.

[0008] The condition for initiating material extraction is: when the total real-time inventory of all mixed ore batching bins is less than T. min And the current real-time periodic average x i When the real-time inventory of the corresponding blended ore batching bin is less than the first expansion threshold, feeding into the bin is initiated; the material feeding stop condition is: when the total real-time inventory of all blended ore batching bins reaches the first stop threshold, or the current real-time periodic average x i When the real-time inventory of the corresponding blended ore batching bin reaches the second stop threshold, feeding into the bin is stopped; where T min This is the lower limit threshold for the total inventory of all mixed ore batching bins.

[0009] The total stock lower limit threshold T min =k1×n×L min L min The threshold value is the lower limit of the stock level in a single blending ore bin, where n is the total number of blending ore bins, and k1 is a coefficient greater than 1 and less than 2; the first expansion threshold is k3 × L. min The first stopping threshold is k4×T max The second stopping threshold is k5×H max ,2>k3>1、0 <k4<1、0< k5<1; Among them, T max The total inventory limit threshold for all blended ore batching bins, T. max = k2×n× H max k2 is a coefficient less than 1 and greater than 0; L min For the lower limit threshold of the inventory of a single blended ore batching bin, H max This refers to the upper limit threshold for the inventory of a single mixed ore batching bin; The optimal values ​​are k1=1.2, k2=0.85, k3=1.4, k4=0.85, and k5=0.7.

[0010] The above-mentioned blending ore batching bins only operate when the real-time inventory is at [L] min H maxIf the ingredients are within the specified range, they will be added to the ingredient queue; otherwise, they will be automatically removed from the ingredient queue.

[0011] S4: Track the feed composition and discharge volume of each blended ore batching bin to obtain the SiO2 tracking value corresponding to the discharge of each blended ore batching bin. x i * The following methods were used to optimize the proportions: When the system of equations When a solution exists, and the optimal proportions of each blended ore batching bin are... P i All are not less than the minimum allowable ratio. P min At that time, the calculation was obtained P i As the proportion of each mixed ore batching bin; in, The optimized proportions for each blended ore batching bin are expressed in % (%). This represents the total proportion of the current blended ore, expressed in % (%). n This represents the number of currently operating blending ore batching silos. If the equation system has no solution, then a uniform distribution ratio is adopted for all the current mixed ore batching bins, and the weighted average value of SiO2 of the mixed ore is calculated. The flux ratio is adjusted according to the weighted average value of SiO2 to stabilize the basicity and MgO content of the sinter.

[0012] A sintering and homogenizing ore feeding control system for implementing the above-described method is also provided, comprising: The LIBS device is installed on the conveyor belts of the stacker and the reclaimer respectively, and is used to detect the chemical composition of the blended ore in real time. The inventory weighing device is installed in each blended ore batching bin to detect the real-time inventory of each blended ore batching bin. The warehouse entry control module is connected to the LIBS device, the inventory weighing device and the unloading vehicle signal respectively, and is configured to execute the steps S1 to S3 described above. The proportioning adjustment module is communicatively connected to the warehouse entry control module and is configured to execute step S4.

[0013] The technical solution, principle, and effects of this invention are described below: 1. The core of this invention lies in the continuous and accurate detection of the average SiO2 content of the blended ore pile and the real-time periodic average SiO2 content during the reclaiming process by installing LIBS (Laser-Induced Breakdown Spectrometer) devices on the conveyor belts of the stacker and reclaimer. Subsequently, the system classifies the detected component fluctuations according to preset deviation ranges and transports materials in different deviation ranges to pre-designated batching bins. The bin entry control comprehensively considers the material composition (the deviation range of the real-time periodic average) and the real-time inventory of each batching bin to achieve automatic and precise scheduling of the unloading vehicles. Finally, in the batching stage, the system tracks the actual composition of the materials in each bin, dynamically calculates the optimal ratio, or takes compensatory measures to ensure that the final SiO2 content of the blended ore remains stable near the target value of the pile. It enables automatic classification and precise diversion of materials with fluctuating composition during the warehousing process, thus suppressing the problem of mixed composition at the source; by linking composition classification with the inventory of the warehousing, the scheduling logic of the unloading vehicle is optimized, effectively avoiding situations of overflow when the warehousing is full or material shortage when the warehousing is empty, thereby improving the automation level and reliability of the warehousing operation.

[0014] Traditional methods rely solely on inventory levels in storage units for crude start-stop control, failing to detect and address fluctuations in material composition. This leads to uneven material composition upon entering the storage unit, impacting the stability of subsequent batching. This invention introduces LIBS technology for real-time, end-to-end component detection and couples component information with storage unit inventory information at the control logic level. During the entry process, the system automatically directs materials to the corresponding storage units based on real-time detected component deviations, achieving component diversion. For storage unit selection, when multiple units correspond to the same range, the system prioritizes units with lower inventory levels, switching based on inventory thresholds. This achieves balanced inventory management and optimized equipment scheduling. This refined classification and entry based on component differences reduces the concentrated input of materials with large component fluctuations, laying a physical foundation for obtaining stable mixtures later.

[0015] 2. The method of this invention establishes a multi-layer start-stop control logic based on inventory thresholds: Material feeding begins only if two conditions are met simultaneously: the total inventory of all batching bins is below the lower threshold, and the real-time inventory of the bin corresponding to the current component is below an expansion threshold. Material feeding stops only if either condition is met: the total inventory reaches the upper threshold, or the inventory of the bin corresponding to the current component reaches its stop threshold. Each bin only participates in batching when its inventory is within the set upper and lower limit range. Through dual threshold control combining total inventory and single-bin inventory, intelligent start-stop of feeding operations is achieved, ensuring continuous material supply while minimizing the risk of spillage and material shortage. By limiting the available inventory range of the batching bins, the material quantity of each bin participating in batching is ensured to be stable, providing a reliable quantitative basis for subsequent accurate calculation of proportions and improving the buffering capacity and operational stability of the entire system.

[0016] 3. In the batching stage, the system tracks the actual SiO2 content (tracking value) of the material discharged from each batching bin. It optimizes the discharge ratio of each bin by solving a set of equations constrained by the total blending ratio and the target total SiO2 value. If the equations have a solution and the optimized ratio is reasonable, it is adopted; otherwise, a uniform distribution ratio is applied to each bin, and the weighted average SiO2 of the blended ore under this condition is calculated. The compositional deviation is compensated by adjusting the ratio of flux (such as limestone or dolomite), ultimately stabilizing the basicity (R) and MgO content of the sinter. When conditions permit, the system automatically calculates the proportions of each bin by solving the optimization model, which can adjust the composition of the mixture to the target value with the highest efficiency, realizing intelligent and optimized batching. When internal optimization fails to achieve the target, the system can automatically switch to the uniform proportioning mode and adjust the flux proportion in conjunction to compensate, ensuring that the basicity and MgO content of the sinter can be stabilized through different paths under any working conditions, which greatly improves the stability and consistency of the final product quality.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention uses LIBS technology to achieve real-time monitoring and scientific classification of the composition throughout the entire process, and classifies and manages materials with fluctuating composition from the source.

[0018] 2. This invention couples the component grading results with the real-time inventory of the silo for dual control, realizing the complete automation and precise scheduling of material picking and silo entry operations, effectively eliminating the problems of material shortage, overflow and component mixing.

[0019] 3. This invention achieves adaptive adjustment of the blending ratio of the ore through component tracking and dual ratio optimization mode, ensuring the stability of the final blending ore composition fed into the furnace, greatly improving the stability of sinter quality, and providing a guarantee for the smooth operation of the blast furnace. Detailed Implementation

[0020] The present invention will be further described in detail below with reference to embodiments. Various details of the embodiments of this disclosure are included to aid understanding and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0021] First, install LIBS (Laser-Induced Breakdown Spectrometer) devices on the stacker conveyor belt and the reclaimer conveyor belt respectively, including the following steps: S1: Using the LIBS device on the stacker conveyor belt, detect and obtain the average SiO2 value x̄ of the blended ore pile; after starting the blended ore reclaiming operation, use the LIBS device on the reclaimer conveyor belt to continuously detect the real-time SiO2 value of the blended ore at fixed time intervals, and continuously detect and calculate the real-time periodic average SiO2 value x of the blended ore according to the preset calculation period t. i The calculation period t ranges from 5 to 8 minutes, with a fixed time interval of 10-20 seconds for each test.

[0022] S2: Based on the historical SiO2 data of the mixed ore, set the first classification threshold δ1 and the second classification threshold δ2, and set the real-time periodic average x i The absolute value of the deviation from the mass average x̄ is divided into multiple deviation intervals, specifically as follows: |x̄| ... i The batches with -x̄|≤δ1 account for 60%-70% of the total batches (preferably 66.67%), and δ1<|x̄|≤δ1. i The batches with -x̄|≤δ2 account for 10%-20% of the total batches (preferably 16.67%), |x i The batches tested for -x̄|>δ2 accounted for 10%-20% of the total batches (preferably 16.66%), and |x i The interval -x̄|≤δ1 is subdivided into two subintervals: [-δ1, 0) and [0, δ1]. A fixed deviation range is assigned to each blending ore batching bin to receive blending ore of the corresponding component range; specifically, when there are six blending ore batching bins, the fixed deviation range assigned to each blending ore batching bin is as follows: the first blending ore batching bin receives blending ore with a deviation range of (δ1, δ2], the second and third blending ore batching bins receive blending ore with a deviation range of [-δ1, 0), the fourth and fifth blending ore batching bins receive blending ore with a deviation range of [0, δ1], and the sixth blending ore batching bin receives blending ore with a deviation absolute value greater than δ2.

[0023] S3: Starting from material feeding, x is obtained based on each calculation cycle t. i Within the specified deviation range, the unloading vehicle is controlled to move to the corresponding blending ore batching bin assigned in step S2 for feeding. If a deviation range is assigned to multiple blending ore batching bins, the bin with the lowest inventory level is selected for feeding, and switching between multiple blending ore batching bins is performed based on the upper limit threshold of the inventory level of a single blending ore batching bin. The system process duration LCS satisfies: LCS > 2t + HX max HX maxThis is the longest switching time for the unloading truck between any two mixed ore batching bins, ensuring seamless connection between the component testing cycle and the unloading truck bin-changing operation in terms of time sequence, avoiding conflicts or delays caused by equipment operation time.

[0024] The condition for initiating material extraction is: when the total real-time inventory of all mixed ore batching bins is less than T. min And the current real-time periodic average x i When the real-time inventory of the corresponding blended ore batching bin is less than the first expansion threshold, feeding into the bin is initiated; the material feeding stop condition is: when the total real-time inventory of all blended ore batching bins reaches the first stop threshold, or the current real-time periodic average x i When the real-time inventory of the corresponding blended ore batching bin reaches the second stop threshold, feeding into the bin is stopped; where T min This is the lower limit threshold for the total inventory of all mixed ore batching bins.

[0025] Total stock lower limit threshold T min =k1×n×L min L min The threshold value is the lower limit of the stock level in a single blending ore bin, where n is the total number of blending ore bins, and k1 is a coefficient greater than 1 and less than 2; the first expansion threshold is k3 × L. min The first stopping threshold is k4×T max The second stopping threshold is k5×H max ,2>k3>1、0 <k4<1、0< k5<1; Among them, T max The total inventory limit threshold for all blended ore batching bins, T. max = k2×n× H max k2 is a coefficient less than 1 and greater than 0; L min For the lower limit threshold of the inventory of a single blended ore batching bin, H max This refers to the upper limit threshold for the inventory of a single mixed ore batching bin; The optimal values ​​are k1=1.2, k2=0.85, k3=1.4, k4=0.85, and k5=0.7.

[0026] The above-mentioned blending ore batching bins only operate when the real-time inventory is at [L] min H max If the ingredients are within the specified range, they will be added to the ingredient queue; otherwise, they will be automatically removed from the ingredient queue.

[0027] S4: Track the feed composition and discharge volume of each blended ore batching bin to obtain the SiO2 tracking value corresponding to the discharge of each blended ore batching bin. x i * The following methods were used to optimize the proportions: When the system of equations When a solution exists, and the optimal proportions of each blended ore batching bin are... P i All are not less than the minimum allowable ratio. P min At that time, the calculation was obtained P i As the proportion of each mixed ore batching bin; in, The optimized proportions for each blended ore batching bin are expressed in % (%). This represents the total proportion of the current blended ore, expressed in % (%). n This represents the number of currently operating blending ore batching silos. If the equation system has no solution, then a uniform distribution ratio is adopted for all the current mixed ore batching bins, and the weighted average value of SiO2 of the mixed ore is calculated. The flux ratio is adjusted according to the weighted average value of SiO2 to stabilize the basicity and MgO content of the sinter.

[0028] By tracking the feed composition and discharge volume of each blended ore batching bin, the SiO2 tracking value corresponding to the discharge of each blended ore batching bin is obtained. x i * The specific process is as follows: By dynamically tracking the composition of the blended ore at the current discharge time of each bin through the feed records, corresponding bin weight information, and feed time period composition, combined with the discharge volume, we can accurately determine the composition of the blended ore at the current discharge time of each bin.

[0029] The purpose of blending ore tracking includes the start time of the blending of newly added blending ore components, that is, the time when the newly added blending ore components begin to be discharged via the discharge conveyor belt. Considering that at the actual feeding time, all materials in the feed hopper are old blending ore components, then the end time of blending the old blending ore components is the start time of blending the newly added blending ore components.

[0030] Obtain the position of the feed hopper at the actual feeding time, and calculate the end time of the old material composition based on the position of the feed hopper at the actual feeding time.

[0031] Since the discharge rate of the conveyor belt is known, the duration of the old blended ore component's application can be obtained by dividing the bin position at the actual feeding time by the discharge rate of the conveyor belt. Adding this duration to the actual feeding time gives the end time of the old blended ore component's application, which is also the start time of the new blended ore component's application. Alternatively, the start time of the new blended ore component's application can be tracked by the bin position at the actual feeding time. When the next new blended ore component begins feeding, the end time of the current new blended ore component's application is the start time of the next new blended ore component's application.

[0032] When the sintering blended ore pile-building process (flat-laying direct sampling process, number of pile layers and pile weight) is basically the same, the distribution pattern of SiO2 detection values ​​in the blended ore is basically similar. The settings of δ1 and δ2 are based on the distribution of SiO2 and the consideration that the feed amount for each grade during grading is roughly consistent with the corresponding sintering batch storage. With a basically constant blended ore feed flow rate, the absolute value of the difference between the measured SiO2 value of each batch and the mean SiO2 value is used as the grading threshold. The proportion of the detected sample number is basically consistent with its weight proportion, and the proportion of each grade is basically consistent with the corresponding batch storage distribution ratio. These thresholds can be calculated from the SiO2 detection values ​​of the previous few piles of sintered blended ore (historical data). The corresponding batch number and proportion of the detected components to the total batch number are 66.67%, 16.67%, and 16.66%, respectively, which are basically consistent with the grading distribution quantity of the sintering batch. These grading thresholds δ1 and δ2 are determined based on this grading basis.

[0033] The system process duration (LCS) is related to the system's material supply and transportation distance, and is basically a fixed value, generally around 30 minutes. The system process duration (LCS) satisfies: LCS > 2t + HX max The intention is to reasonably select a calculation period t range (5 to 8 minutes) to simplify the program's tracking and processing of data, while ensuring relatively fine component classification within a reasonable calculation period t value. (For example, a normal stockpile has a stockpile weight of 180,000 tons, and a feed flow rate of approximately 1,500 tons / hour. If continuous feeding is used, the total duration would be 120 hours. A 5 to 8 minute / 120-hour interval provides a finer division, with a feed volume of 125-200 tons per 5 to 8 minutes. The single bin capacity for sintered ore blending is approximately 600-800 tons, which under normal circumstances allows for single-batch feeding without the need for bin changing.) A sintering and homogenizing ore feeding control system for implementing the above-described method is also provided, comprising: The LIBS device is installed on the conveyor belts of the stacker and the reclaimer respectively, and is used to detect the chemical composition of the blended ore in real time. The inventory weighing device is installed in each blended ore batching bin to detect the real-time inventory of each blended ore batching bin. The warehouse entry control module is connected to the LIBS device, the inventory weighing device and the unloading vehicle signal respectively, and is configured to execute the steps S1 to S3 described above. The proportioning adjustment module is communicatively connected to the warehouse entry control module and is configured to execute step S4.

[0034] Through the above-mentioned control, the present invention achieves precise, stable and automated management of the entire process of blended ore from entering the warehouse to being used, effectively improving the stability of sinter quality.

[0035] Example 1) If the actual average SiO2 value of a certain pile of sintered blended ore is 5.607%, and other components are detailed in the table, the MgO of the finished sintered ore is controlled at 2.06%, and the R of the sintered ore is controlled at 2.03. The total proportion of blended ore that meets the above component control requirements through batching calculation is 67.433%.

[0036] Table 1 Sintering Batching Calculation Table 2) As in 1 # -6 # All sintering blended ore batching bins meet the conditions for commissioning. In conventional sintering systems that do not employ graded feeding control based on online composition detection, the composition of the blended ore is typically considered its actual average value for batching calculations, and the proportions of each operational blended ore batching bin are evenly distributed according to the total proportion. However, if graded feeding control is actually implemented, the proportion of 1 / 2 ore in a given time period... # -6 # The actual SiO2 values ​​corresponding to the blended ore were 5.787%, 5.487%, 5.485%, 5.737%, 5.736%, and 5.847%, respectively. The program automatically calculated and adjusted the proportions of each blended ore to ensure that its SiO2 value was the same as the actual average value. # -6 # The adjusted proportions for the warehouse are shown in Table 2, and the total proportion of the blended ore remains at 67.433%.

[0037] Table 2 Optimization and Adjustment of Mixed Ore Proportion 3) When implementing tiered warehousing control, a certain period of time 1 # -6 # The actual SiO2 values ​​corresponding to the mixed ore in the sintering process were 5.817%, 5.557%, 5.558%, 5.747%, 5.747%, and 5.867%, respectively. Since the optimized proportioning calculation had no solution at this point, the weighted value of SiO2 (including other components) of the sintered mixed ore in this period was calculated using the uniform proportioning method and then incorporated into the batching calculation to recalculate and adjust the proportions of flux, etc., so that the MgO, R, etc., of the sintered ore met the target component requirements. The specific batching calculations are shown in Table 4.

[0038] Table 3. Weighted Calculation of SiO2 in Mixed Ore Composition Table 4 Recalculation Results of Sintering Batching

Claims

1. A method for controlling and blending sintered mixed ore entering the silo based on compositional differences, characterized in that, The method of installing LIBS devices on the stacker conveyor belt and the reclaimer conveyor belt includes the following steps: S1: Using the LIBS device on the stacker conveyor belt, detect and obtain the average SiO2 value x̄ of the blended ore pile; after starting the blended ore reclaiming operation, use the LIBS device on the reclaimer conveyor belt to continuously detect the real-time SiO2 value of the blended ore at fixed time intervals, and continuously detect and calculate the real-time periodic average SiO2 value x of the blended ore according to the preset calculation period t. i ; S2: Based on the historical SiO2 data of the mixed ore, set the first classification threshold δ1 and the second classification threshold δ2, and set the real-time periodic average x i The absolute value of the deviation from the average value x̄ of the bulk is divided into multiple deviation intervals, and a fixed deviation interval is assigned to each blended ore batching bin; S3: Starting from material feeding, x is obtained based on each calculation cycle t. i If a deviation range is located, the unloading vehicle is controlled to move to the corresponding blending ore batching bin allocated in step S2 for feeding. If a deviation range is allocated to multiple blending ore batching bins, the bin with the lowest inventory is selected for feeding, and the bins are switched between multiple blending ore batching bins according to the upper limit threshold of the inventory of a single blending ore batching bin.

2. The method according to claim 1, characterized in that, The process also includes step S4: tracking the feed composition and discharge volume of each blended ore batching bin to obtain the SiO2 tracking value corresponding to the discharge of each blended ore batching bin. x i * The following methods were used to optimize the proportions: When the system of equations When a solution exists, and the optimal proportions of each blended ore batching bin are... P i All are not less than the minimum allowable ratio. P min At that time, the calculation was obtained P i As the proportion of each mixed ore batching bin; in, These are the optimized proportions for each blended ore batching bin; This represents the total proportion of the currently blended ore; n This represents the number of currently operating blending ore batching silos. If the equation system has no solution, then a uniform distribution ratio is adopted for all the current mixed ore batching bins, and the weighted average value of SiO2 of the mixed ore is calculated. The flux ratio is adjusted according to the weighted average value of SiO2 to stabilize the basicity and MgO content of the sinter.

3. The method according to claim 1, characterized in that, In step S2, the division of the deviation interval is based on: |x i - Batches with x̄|≤δ1 account for 60%-70% of the total batches, δ1<|x̄|≤δ1 i The batches with -x̄|≤δ2 accounted for 10%-20% of the total batches, |x i The batches tested for - x̄|>δ2 accounted for 10%-20% of the total batches; and |x i The interval -x̄|≤δ1 is subdivided into two subintervals: [-δ1, 0) and [0, δ1].

4. The method according to claim 3, characterized in that, When there are six blending ore batching bins, a fixed deviation range is assigned to each blending ore batching bin as follows: the first blending ore batching bin receives blended ore with a deviation range of (δ1, δ2], the second and third blending ore batching bins receive blended ore with a deviation range of [-δ1, 0), the fourth and fifth blending ore batching bins receive blended ore with a deviation range of [0, δ1], and the sixth blending ore batching bin receives blended ore with a deviation absolute value greater than δ2.

5. The method according to claim 1, characterized in that, In step S3, the condition for starting material extraction is: when the total real-time inventory of all mixed ore batching bins is less than T. min And the current real-time periodic average x i When the real-time inventory of the corresponding blended ore batching bin is less than the first expansion threshold, feeding into the bin is initiated; the material feeding stop condition is: when the total real-time inventory of all blended ore batching bins reaches the first stop threshold, or the current real-time periodic average x i When the real-time inventory of the corresponding blended ore batching bin reaches the second stop threshold, feeding into the bin is stopped; where T min This is the lower limit threshold for the total inventory of all mixed ore batching bins.

6. The method according to claim 5, characterized in that, The total stock lower limit threshold T min =k1×n×L min L min The threshold value is the lower limit of the stock level in a single blending ore bin, where n is the total number of blending ore bins, and k1 is a coefficient greater than 1 and less than 2; the first expansion threshold is k3 × L. min The first stopping threshold is k4×T max The second stopping threshold is k5×H max ,2>k3>1、0 <k4<1、0< k5<1; Among them, T max The total inventory limit threshold for all blended ore batching bins, T. max = k2×n×H max k2 is a coefficient that is less than 1 and greater than 0; L min For the lower limit threshold of the inventory of a single blended ore batching bin, H max This is the upper limit threshold for the inventory of a single mixed ore batching bin.

7. The method according to claim 6, characterized in that, The values ​​are k1=1.2, k2=0.85, k3=1.4, k4=0.85, and k5=0.

7.

8. The method according to claim 1, characterized in that, In step S3, the system process duration LCS satisfies: LCS > 2t + HX max HX max The longest switching time for the unloading car between any two mixed ore batching bins.

9. The method according to claim 1, characterized in that, In step S1, the calculation period t ranges from 5 to 8 minutes, and the fixed time interval is once every 10-20 seconds.

10. A sintering and blending ore feeding control system, used to implement the method according to any one of claims 1-9, characterized in that, include: The LIBS device is installed on the conveyor belts of the stacker and the reclaimer respectively, and is used to detect the chemical composition of the blended ore in real time. The inventory weighing device is installed in each blended ore batching bin to detect the real-time inventory of each blended ore batching bin. The warehouse entry control module is connected to the LIBS device, the inventory weighing device and the unloading vehicle signal respectively, and is configured to perform steps S1 to S3 as described in any one of claims 1-9; The proportioning adjustment module is communicatively connected to the warehouse entry control module and is configured to execute step S4 as described in claim 2.

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