A beneficiation whole process optimization method combining theoretical reasoning and data verification

Abstract

This invention discloses a method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification. It relates to the field of mineral processing process control technology, and includes: collecting gold ore flow process records, merging and organizing them according to the time sequence of the ore flow to obtain a basic record and a reference window record set; based on the basic record and reference window record set, reasoning and judging the connection status of grinding and classification, classification flotation, and flotation dewatering to obtain reasoning conclusion records; using the reference window record set as a reference, verifying the reasoning conclusion records of the current gold ore flow segment by segment along the connection sequence of grinding and classification, classification flotation, and flotation dewatering, calculating the verification difference at each process connection point, locating the first mismatch position, and quantifying the mismatch deviation rate; based on the first mismatch position and the mismatch deviation rate, proportionally correcting the key process quantities at the first mismatch process connection position to form an optimized execution record. This achieves targeted optimization of the entire mineral processing process.

Description

Technical Field

[0001] This invention relates to the field of mineral processing control technology, and in particular to a method for optimizing the entire mineral processing process by combining theoretical reasoning with data verification. Background Technology

[0002] Gold ore beneficiation typically involves continuous processes such as grinding, classification, flotation, and dewatering. Related research and engineering practices largely revolve around process parameter monitoring, particle size analysis, recovery index evaluation, and process operation control. For identifying and optimizing the overall beneficiation process, a combination of process data statistics, process mechanism analysis, and production experience is often used to assess the operational level of each process and the coordination relationships within the process, thus supporting production organization, parameter tuning, and operational management.

[0003] However, existing methods still have two limitations: First, they tend to focus on the analysis of single process parameters or local indicators, lacking a unified identification of the connection between grinding and classification, classification flotation and flotation dewatering, and the cross-process state transmission relationship is not clear enough; Second, they do not pay enough attention to the sequential verification between process judgment results and actual production performance, making it difficult to locate the first mismatch link along the process chain and implement targeted proportional correction. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a mineral processing optimization method that combines theoretical reasoning and data verification, which solves the problems of difficulty in uniformly identifying the cross-process connection status in the mineral processing process, difficulty in sequentially locating the first mismatch link, and difficulty in performing targeted proportional correction.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: This invention provides a method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification. The method includes: collecting records of gold ore flow processes; merging and organizing these records based on the temporal relationship of the ore flow to obtain a basic record set and a reference window record set; based on the basic record set and the reference window record set, reasoning and judging the connection status of grinding and classification, graded flotation, and flotation dewatering to obtain reasoning conclusion records; using the reference window record set as a reference, verifying the reasoning conclusion records of the current gold ore flow segment by segment along the connection sequence of grinding and classification, graded flotation, and flotation dewatering, calculating the verification difference at each process connection point, locating the first mismatch position, and quantifying the mismatch deviation rate; and based on the first mismatch position and the mismatch deviation rate, proportionally correcting the key process quantities at the first mismatch process connection position to form an optimized execution record.

[0007] As a preferred embodiment of the mineral processing optimization method combining theoretical reasoning and data verification described in this invention, the following steps are included: collecting gold ore flow process records: collecting raw ore grade, ore flow quality, and ore flow entry time to form an initial beneficiation record; collecting mill power consumption, grinding throughput, and grinding discharge time, and compiling these to obtain grinding unit energy consumption, forming a grinding process record; collecting classification overflow particle size range, classification overflow particle size ratio, return sand flow rate, classification feed flow rate, and classification overflow time, and compiling these to obtain the return sand ratio and classification cutting particle size, forming... The classification process records include: collecting the amount of collector added, the amount of frother added, the flotation aeration rate, the flotation foam discharge rate, the flotation discharge time, the flotation concentrate grade, and the flotation tailings grade, and compiling these data to obtain the gold recovery rate, thus forming the flotation process record; collecting the dewatering feed concentration, dewatering overflow turbidity, dewatering discharge liquid content, and dewatering discharge time, thus forming the dewatering process record; and writing the feed start record, grinding process record, classification process record, flotation process record, and dewatering process record into the same process record sequence in a unified clock order to form the gold ore flow process record.

[0008] As a preferred embodiment of the mineral processing optimization method combining theoretical reasoning and data verification described in this invention, the following steps are taken: The process of merging and organizing the mineral flow time sequence to obtain the gold ore flow basic record and reference window record set includes: organizing the mineral flow time sequence according to the mineral flow entry time, grinding discharge time, classification overflow time, flotation discharge time, and dewatering discharge time; merging and organizing the entry start record, grinding process record, classification process record, flotation process record, and dewatering process record belonging to the same gold ore flow in chronological order according to the mineral flow time sequence to obtain the gold ore flow basic record; using the mineral flow entry time in the gold ore flow basic record as the backtracking endpoint and the total process duration in the gold ore flow basic record as the backtracking length, extracting historical gold ore flow basic records whose mineral flow entry time falls within the backtracking time range and whose dewatering discharge has been completed to obtain the reference window record set.

[0009] As a preferred embodiment of the mineral processing optimization method combining theoretical reasoning and data verification described in this invention, the following steps are included: the reasoning and judgment of the connection state between grinding and classification, classification flotation and flotation dewatering include extracting the classification overflow particle size range, classification overflow particle size ratio and classification cutting particle size from the historical gold ore flow basic records in the reference window record set to form a historical cumulative cutting percentage set, and performing quantile statistics on the historical cumulative cutting percentage set to obtain the fine mud boundary particle size, the lower limit particle size of the flotation response particle size and the upper limit particle size of the flotation response particle size; Based on the fine mud boundary particle size, the lower limit particle size of the flotation response particle size, and the upper limit particle size of the flotation response particle size, the connection state of grinding and classification is inferred and judged to obtain the grinding and classification inference conclusion; combined with the grinding and classification inference conclusion, the connection state of classification and flotation is inferred and judged to obtain the classification and flotation inference conclusion; through the dewatering acceptance difference, the connection state of flotation and dewatering is inferred and judged to obtain the flotation and dewatering inference conclusion; the grinding and classification inference conclusion, the classification and flotation inference conclusion, and the flotation and dewatering inference conclusion are written into the inference conclusion record in the order of the same gold ore flow trajectory.

[0010] As a preferred embodiment of the mineral processing optimization method combining theoretical reasoning and data verification described in this invention, the following steps are taken: The reasoning and judgment of the connection state of grinding and classification to obtain the grinding and classification reasoning conclusion includes: interval merging of the current classification overflow particle size ratio in the gold ore flow basic record to form the fine mud ratio, flotation response particle size ratio, and coarse particle size ratio; combining the amplification effect of the return sand ratio and grinding unit energy consumption on particle size offset to form the particle size supply adaptation amount; and determining the grinding and classification connection state as a dissociation matching state, a dissociation insufficiency state, or a fine mud amplification state according to the particle size supply adaptation amount, the fine mud ratio, and the coarse particle size ratio, and using the dissociation matching state, the dissociation insufficiency state, and the fine mud amplification state as the grinding and classification reasoning conclusion.

[0011] As a preferred embodiment of the mineral processing optimization method combining theoretical reasoning and data verification described in this invention, the following steps are taken: The reasoning and judgment of the connection state of graded flotation to obtain the graded flotation reasoning conclusion includes: extracting the collector addition amount, frother addition amount, flotation aeration amount, and flotation foam discharge amount from the gold ore flow basic record and reference window record set, and statistically forming corresponding median values; organizing the flotation carrying capacity ratio according to the collector addition amount, median collector addition amount, flotation aeration amount, and median flotation aeration amount; organizing the foam-liquid carrying capacity ratio according to the frother addition amount, median frother addition amount, and median flotation foam discharge amount; based on the grinding and graded flotation reasoning conclusion, the flotation carrying capacity ratio, and the foam-liquid carrying capacity ratio, determining the graded flotation connection state as a recovery priority response state, a grade priority response state, or a selectivity deviation state, and using the recovery priority response state, grade priority response state, and selectivity deviation state as the graded flotation reasoning conclusion.

[0012] As a preferred embodiment of the mineral processing optimization method combining theoretical reasoning and data verification described in this invention, the following steps are taken: The reasoning and judgment of the connection state of flotation dewatering to obtain the flotation dewatering reasoning conclusion includes: extracting the dewatering feed concentration, dewatering overflow turbidity, and dewatering discharge liquid content from the gold ore flow basic record and reference window record set, and statistically forming corresponding median values; performing difference analysis on the median values ​​of dewatering feed concentration, dewatering feed concentration, dewatering overflow turbidity, dewatering overflow turbidity, dewatering discharge liquid content, and dewatering discharge liquid content to form a dewatering acceptance difference; based on the dewatering acceptance difference, determining the flotation dewatering connection state as either a stable dewatering acceptance state or a dewatering load amplification state, and using the stable dewatering acceptance state and the dewatering load amplification state as the flotation dewatering reasoning conclusion.

[0013] As a preferred embodiment of the mineral processing optimization method combining theoretical reasoning and data verification described in this invention, the following steps are included: verifying the reasoning conclusions recorded for the current gold ore flow segment by segment, and calculating the verification differences at each process connection point. This includes extracting gold recovery rate, flotation concentrate grade, and flotation tailings grade from historical gold ore flow basic records in the reference window record set, and statistically generating median gold recovery rate, median flotation concentrate grade, and median flotation tailings grade; combining the grinding and classification reasoning conclusions in the reasoning conclusion records, and optimizing the current gold ore flow... The gold recovery rate, flotation concentrate grade, flotation tailings grade, dewatering overflow turbidity, and dewatering discharge liquid content of the ore stream are verified to form a grinding and classification verification difference. Based on the classification flotation inference conclusions in the inference conclusion record, the gold recovery rate, flotation concentrate grade, and flotation froth discharge amount of the current gold ore stream are verified to form a classification flotation verification difference. Based on the flotation dewatering inference conclusions in the inference conclusion record, the dewatering feed concentration, dewatering overflow turbidity, and dewatering discharge liquid content of the current gold ore stream are verified to form a flotation dewatering verification difference.

[0014] As a preferred embodiment of the mineral processing optimization method combining theoretical reasoning and data verification described in this invention, the step of locating the first mismatch position and quantifying the mismatch deviation rate includes: sequentially comparing the verification difference of grinding and classification, the verification difference of classification and flotation, and the verification difference of flotation and dewatering along the process transfer sequence of grinding and classification, classification and flotation and dewatering; recording the process connection position corresponding to the first verification difference less than zero as the first mismatch position; recording the first verification difference less than zero as the verification difference of the first mismatch position; and using the normalized percentage of the absolute value of the verification difference of the first mismatch position as the mismatch deviation rate.

[0015] As a preferred embodiment of the mineral processing whole-process optimization method combining theoretical reasoning and data verification described in this invention, the step of proportionally correcting the key process quantities at the first mismatched process connection position based on the first mismatched position and mismatched deviation rate to form an optimization execution record includes: selecting the key process quantities at the corresponding process connection position as correction objects according to the first mismatched position; extracting similar process quantities at the process connection position where the first mismatched position is located from the historical gold mine flow basic records in the reference window record set, and statistically forming a correction reference value; proportionally correcting the key process quantities based on the difference between the current process quantity and the correction reference value according to the mismatched deviation rate, forming the corrected process quantity; and writing the first mismatched position, mismatched deviation rate, key process quantity, correction reference value, and corrected process quantity into the optimization execution record.

[0016] The beneficial effects of this invention are as follows: By merging the proportion of overflow particles in the classification process, combining the return sand ratio and the unit energy consumption of grinding to form the appropriate particle size supply, and combining the flotation carrying capacity ratio, the foam carrying capacity ratio and the dewatering carrying capacity difference to perform connection state reasoning and judgment, a unified identification of the cross-process state transmission relationship between grinding classification, classification flotation and flotation dewatering is achieved; by calculating and verifying the difference along the connection sequence of grinding classification, classification flotation and flotation dewatering, the first mismatch position is located and the mismatch deviation rate is quantified, and then the key process quantities are proportionally corrected, thus achieving directional adjustment of the mismatch link. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a method for optimizing the entire mineral processing process by combining theoretical reasoning with data verification.

[0019] Figure 2 This is a flowchart for the reasoning and discrimination of grinding and classification.

[0020] Figure 3 This is a flowchart for the reasoning and discrimination in graded flotation.

[0021] Figure 4 This is a flowchart for the reasoning and discrimination in flotation dewatering.

[0022] Figure 5 A unified identification and verification diagram for cross-process status transmission relationships.

[0023] Figure 6 This is the first verification image for mismatch location positioning and orientation adjustment. Detailed Implementation

[0024] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0026] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0027] Reference Figures 1-6 This is one embodiment of the present invention, which provides a method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification, including the following steps: S1. Collect gold mine flow process records, combine and organize them according to the time sequence of the flow, and obtain a set of basic gold mine flow records and reference window records.

[0028] Furthermore, during the continuous operation of gold ore beneficiation, the entry point of the raw ore into the production line is taken as the starting point. Process recording nodes are set up in the grinding, classification, flotation and dewatering processes. Each process recording node continuously collects the gold ore flow process records under the control of a unified clock. The gold ore flow process records include the initial entry record, grinding process record, classification process record, flotation process record and dewatering process record. The process records collected by each process recording node are written into the same process record sequence in a unified clock order.

[0029] At the entrance of the raw ore into the production line, the raw ore grade is collected by an online grade analyzer, the ore flow quality is collected by a belt scale, and the ore flow entry time is collected by a feed time recording device to form a beneficiation start record. The beneficiation start record includes the raw ore grade, ore flow quality, and ore flow entry time. The raw ore grade reflects the gold content of the gold ore flow entering the beneficiation process, the ore flow quality reflects the material scale of a segment of gold ore flow, and the ore flow entry time reflects the starting time and position of a segment of gold ore flow entering the production line.

[0030] At the discharge point of the grinding process, the power consumption of the mill is collected by an electricity metering device, the grinding throughput is collected by a grinding throughput metering device, and the discharge time is collected by a discharge time recording device. The ratio of the mill power consumption to the grinding throughput is then compiled into the grinding unit energy consumption, forming a grinding process record. The grinding process record includes the mill power consumption, grinding throughput, grinding unit energy consumption, and grinding discharge time. The mill power consumption reflects the energy consumption of the grinding equipment in the current period, the grinding throughput reflects the scale of the ore flow through the grinding process in the current period, the grinding unit energy consumption reflects the grinding intensity borne by the unit ore flow mass, and the grinding discharge time reflects the time and position of the gold ore flow leaving the grinding process.

[0031] At the overflow position of the grading process, the overflow particle size range and percentage of the grading overflow particle size are collected using an online particle size analyzer, and the overflow time is collected using an overflow time recording device. At the return sand reflux position of the grading process, the return sand flow rate is collected using a flow meter. At the feed position of the grading process, the feed flow rate is collected using a flow meter, and the ratio of the return sand flow rate to the feed flow rate is organized as the return sand ratio. Then, the grading overflow particle size ranges are arranged in order of particle size from fine to coarse, and the percentage of the grading overflow particle size is accumulated segment by segment. The particle size position where the cumulative percentage of the grading overflow particle size first reaches 50% is organized as the grading cut particle size. When 50% falls within a certain grading overflow particle size range, the grading overflow particle size range is used as the cut particle size. The span between the upper and lower boundary particle sizes is linearly interpolated at the 50% position to obtain the classification cutting particle size, forming a classification process record. The classification process record includes the classification overflow particle size range, the classification overflow particle size percentage, the return sand flow rate, the classification feed flow rate, the return sand ratio, the classification cutting particle size, and the classification overflow time. The classification overflow particle size range represents the particle size division range before entering the flotation process. The classification overflow particle size percentage represents the distribution ratio of each particle size segment in the classification overflow. The return sand flow rate and the classification feed flow rate together reflect the closed-loop circulation scale. The return sand ratio reflects the strength of the closed-loop circulation. The classification cutting particle size reflects the particle size interface where coarse and fine particles begin to separate clearly. The classification overflow time reflects the time and position of the gold ore stream leaving the classification process.

[0032] At the reagent addition point in the flotation process, the amounts of collector and frother added are collected using a reagent metering device; at the aeration point, the flotation aeration volume is collected using a gas flow meter; at the foam discharge point, the flotation foam discharge volume is collected using a foam flow meter, and the discharge time is recorded using a discharge time recording device; at the concentrate discharge point, the flotation concentrate grade is collected through sampling and testing, and the flotation concentrate flow rate is collected using a flow meter; at the tailings discharge point, the flotation tailings grade is collected through sampling and testing, and the flotation tailings flow rate is collected using a flow meter. Then, the raw ore grade, ore flow mass, flotation concentrate grade, flotation concentrate flow rate, flotation tailings grade, and flotation tailings flow rate are combined to perform metal balance adjustments to obtain the gold recovery rate, forming a flotation... The flotation process record includes the following: collector addition amount, frother addition amount, flotation aeration amount, flotation froth discharge amount, flotation discharge time, flotation concentrate grade, flotation tailings grade, and gold recovery rate. The collector addition amount reflects the degree of hydrophobic enhancement of the ore particle surface; the frother addition amount reflects the degree of froth stability; the flotation aeration amount reflects the bubble supply intensity; the flotation froth discharge amount reflects the froth carrying liquid and floating discharge status; the flotation concentrate grade reflects the gold content in the concentrate; the flotation tailings grade reflects the gold loss level in the tailings; the gold recovery rate reflects the recovery level of the flotation process; and the flotation discharge time reflects the time when the gold ore stream completes flotation discharge and flows to the dewatering process. The flotation concentrate flow rate and flotation tailings flow rate are included in the gold recovery rate calculation but are not recorded in the long-term flotation process record.

[0033] At the feeding position of the dewatering process, the concentration of the dewatering feed is collected using a concentration meter; at the overflow position of the dewatering process, the turbidity of the dewatering overflow is collected using a turbidity meter; at the discharge position of the dewatering process, the liquid content of the dewatered discharge is collected using a moisture measuring device, and the discharge time is collected using a discharge time recording device, forming a dewatering process record. The dewatering process record includes the dewatering feed concentration, the dewatering overflow turbidity, the liquid content of the dewatered discharge, and the discharge time. The dewatering feed concentration reflects the slurry load level entering the dewatering process, the dewatering overflow turbidity reflects the fine particle entrainment and clear liquid separation state, the liquid content of the dewatered discharge reflects the residual liquid level of the discharged material after dewatering, and the discharge time reflects the time and position when the gold ore flow completes dewatering and discharge.

[0034] Furthermore, the timing relationship of the ore flow is organized according to the ore flow entry time, grinding discharge time, classification overflow time, flotation discharge time, and dewatering discharge time.

[0035] By placing the entry time of the ore stream, the discharge time of the grinding mill, the overflow time of the classification, the discharge time of the flotation, and the discharge time of the dewatering on the same timeline, the sequential progression of a gold ore stream from its entry into the production line to the completion of dewatering and discharge can be obtained. The time difference between the entry time of the ore stream and the discharge time of the dewatering can be used as the total process time. The time differences between the discharge time of the grinding mill and the overflow time, the time differences between the overflow time of the classification and the discharge time of the flotation, and the time differences between the discharge time of the flotation and the discharge time of the dewatering can be used as the basis for the sequential connection between the processes.

[0036] After the ore flow time sequence is sorted out, the starting record of the beneficiation process, the grinding process record, the classification process record, the flotation process record, and the dewatering process record are arranged sequentially along the same gold ore flow trajectory.

[0037] Furthermore, according to the ore flow time sequence, taking the ore flow entry time as the starting point and the dewatering discharge time as the ending point, the entry start record, grinding process record, classification process record, flotation process record and dewatering process record of the same gold ore flow within this period are merged and organized in chronological order to obtain the gold ore flow basic record; the gold ore flow basic record is a complete record after organizing the process records formed by different processes of the same gold ore flow in chronological order.

[0038] After the basic records of gold mine ore flow are compiled, the entry time of the ore flow in the basic records is used as the end point of the backtracking, and the total process duration in the basic records is used as the backtracking length to form a backtracking time range. Then, historical gold mine ore flow basic records whose ore flow entry time falls within the backtracking time range and have completed dewatering and discharge are extracted. The historical gold mine ore flow basic records are summarized and compiled to obtain a reference window record set. Each record in the reference window record set covers the complete process from the ore flow entering the production line to the completion of dewatering and discharge. Therefore, the reference window record set can reflect a set of real gold mine ore flow basic records near the current operating state.

[0039] S2. Based on the gold ore flow basic record and reference window record set, the connection state of grinding classification, classification flotation and flotation dewatering is inferred and judged to obtain the inference conclusion record.

[0040] Furthermore, the graded overflow particle size range and the percentage of graded overflow particle size are extracted from each historical gold mine flow basic record in the reference window record set, and the graded cutting particle size is extracted. The percentage of graded overflow particle size is accumulated in order of particle size from fine to coarse, and the cumulative percentage of graded overflow particle size corresponding to the particle size position of the graded cutting particle size is read to obtain the historical cumulative percentage set. The historical cumulative percentage set is sorted by value from smallest to largest. The value corresponding to the 25th percentile is taken as the fine mud boundary ratio, the value corresponding to the 50th percentile is taken as the lower limit ratio of flotation response particle size, and the value corresponding to the 75th percentile is taken as the upper limit ratio of flotation response particle size. For example, when the corresponding quantile position falls between two adjacent values, the average of the two adjacent values ​​is taken as the corresponding proportion. Then, for each historical gold mine flow basic record, the proportion of the overflow particle size is accumulated in order of particle size from fine to coarse. The particle size position where the cumulative overflow particle size proportion first reaches the fine mud boundary proportion is recorded as the candidate particle size of the fine mud boundary. The particle size position where the cumulative overflow particle size proportion first reaches the lower limit proportion of the flotation response particle size is recorded as the candidate particle size of the lower limit of the flotation response particle size. The particle size position where the cumulative overflow particle size proportion first reaches the upper limit proportion of the flotation response particle size is recorded as the candidate particle size of the upper limit of the flotation response particle size.

[0041] It should be noted that the proportions of fine mud boundary, lower limit of flotation response particle size, and upper limit of flotation response particle size are all obtained through statistical analysis of the historical cumulative proportion set in the reference window record set. Among them, the value corresponding to the 25th percentile is used to characterize the cumulative proportion boundary where fine particles begin to concentrate, the value corresponding to the 50th percentile is used to characterize the cumulative proportion level corresponding to the common flotation response starting position in the reference window record set, and the value corresponding to the 75th percentile is used to characterize the cumulative proportion level corresponding to the upper limit of flotation response position in the reference window record set. By statistically updating the reference window record set, the proportions of fine mud boundary, lower limit of flotation response particle size, and upper limit of flotation response particle size are adjusted synchronously with the changes in historical ore flow near the current operating state.

[0042] All candidate particle sizes for the fine mud boundary are sorted in ascending order of value, and the particle size in the middle position is taken as the fine mud boundary particle size; when the number of candidate particle sizes for the fine mud boundary is even, the average of the two middle particle sizes is taken as the fine mud boundary particle size. All candidate particle sizes for the lower limit of the flotation response particle size are sorted in ascending order of value, and the particle size in the middle position is taken as the lower limit of the flotation response particle size; when the number of candidate particle sizes for the lower limit of the flotation response particle size is even, the average of the two middle particle sizes is taken as the lower limit of the flotation response particle size. All candidate particle sizes for the upper limit of the flotation response particle size are sorted in ascending order of value, and the particle size in the middle position is taken as the upper limit of the flotation response particle size; when the number of candidate particle sizes for the upper limit of the flotation response particle size is even, the average of the two middle particle sizes is taken as the upper limit of the flotation response particle size.

[0043] Furthermore, the graded overflow particle size range, graded overflow particle size ratio, return sand ratio, and grinding unit energy consumption are extracted from the gold mine flow basic record. The current graded overflow particle size ratio is then merged and organized using the fine mud boundary particle size, the lower limit particle size of the flotation response particle size, and the upper limit particle size of the flotation response particle size as the dividing boundaries.

[0044] When the upper limit of a certain overflow particle size range is not higher than the fine mud boundary particle size, the particle size ratio of the overflow particle size range is entirely included in the fine mud ratio. When the lower limit of a certain overflow particle size range is not lower than the lower limit of the flotation response particle size and the upper limit of the particle size is not higher than the upper limit of the flotation response particle size, the particle size ratio of the overflow particle size range is entirely included in the flotation response particle size ratio. When the lower limit of a certain overflow particle size range is higher than the upper limit of the flotation response particle size, the particle size ratio of the overflow particle size range is entirely included in the coarse particle size ratio. When a certain overflow particle size range spans the fine mud boundary particle size, the lower limit of the flotation response particle size, or the upper limit of the flotation response particle size, the ratio of the particle size span across the boundary to the total particle size span of the overflow particle size range is used as the splitting ratio, and the particle size ratio of the overflow particle size range is included in the fine mud ratio, the flotation response particle size ratio, and the coarse particle size ratio according to the splitting ratio.

[0045] The proportion of flotation response particle size indicates the appropriate particle size supply level entering the flotation process, the proportion of fine mud indicates the degree of fine particle aggregation, and the proportion of coarse particles indicates the degree of insufficient mineral release.

[0046] When the return sand ratio increases, the closed-loop circulation load increases, and the effects of fine mud and coarse particles accumulate repeatedly between the grinding and classification processes. When the energy consumption per unit of grinding is higher than the median energy consumption per unit of grinding, the current grinding intensity is higher than the common operating level in the reference window record set, and the particle size offset is more easily amplified.

[0047] The proportion of flotation response particle size is taken as the positive supply, and the proportions of fine mud and coarse particles are taken as offsets. The amplification effect of the return sand ratio and grinding unit energy consumption on the particle size offset is also included in the finishing process, forming the particle size supply matching quantity, expressed as: ; in, Provide the appropriate amount for the particle size; The proportion of flotation response particle size; The return sand ratio; Energy consumption per unit of grinding; This represents the median energy consumption per unit of grinding. The proportion of fine clay; This represents the proportion of coarse particles.

[0048] When the particle size supply is greater than or equal to zero, it means that the proportion of the flotation response particle size is still higher than the combined offset of the proportion of fine mud and the proportion of coarse particles under the combined effect of the return sand ratio and grinding intensity; when the particle size supply is less than zero, it means that the combined offset of the proportion of fine mud and the proportion of coarse particles has exceeded the proportion of the flotation response particle size.

[0049] Furthermore, the grinding and classification connection state is inferred and judged based on the particle size supply matching amount, the proportion of fine mud and the proportion of coarse particles.

[0050] When the particle size distribution is greater than or equal to zero, it indicates that the proportion of particle size in the flotation response still dominates under the combined effect of the return sand ratio and grinding intensity. This is recorded as a liberation matching state, meaning that the particle size distribution formed by the grinding and classification processes has entered the range within the reference window record set where a stable flotation response is relatively easy to maintain. When the particle size distribution is less than zero and the proportion of coarse particles is higher than the proportion of fine clay, it indicates that the influence of coarse particles is stronger than that of fine clay. This is recorded as a liberation insufficiency state, meaning that the current particle size distribution is mainly characterized by insufficient mineral release. When the particle size distribution is less than zero and the proportion of fine clay is not lower than the proportion of coarse particles, it indicates that the influence of fine clay has reached or exceeded that of coarse particles. This is recorded as a fine clay amplification state, meaning that the current particle size distribution is mainly characterized by fine particle aggregation and entrainment amplification.

[0051] The dissociation matching state, the dissociation insufficiency state, and the fine mud amplification state are used as the conclusions for grinding and classification.

[0052] Furthermore, the amounts of collector added, frother added, flotation aeration, and flotation froth discharged were extracted from the gold mine flow basic records. The amounts of collector added, frother added, flotation aeration, and flotation froth discharged were extracted from the historical gold mine flow basic records from the reference window record set. These values ​​were then sorted from smallest to largest, and the median value was taken as the median value of collector added, frother added, flotation aeration, and flotation froth discharged. When the number of values ​​was even, the average of the two middle values ​​was taken as the corresponding median value.

[0053] The amount of collector added and the flotation aeration rate jointly affect the adhesion and flotation strength of mineral particles, while the amount of frother added and the amount of flotation froth discharged jointly affect the froth stability and liquid carrying capacity. The flotation carrying capacity ratio is expressed as the ratio of the median amount of collector added to the median amount of collector added, and the ratio of the median amount of flotation aeration to the median amount of flotation aeration. ; in, This represents the flotation carrying capacity ratio; This refers to the amount of collector added; This represents the median amount of collector added. The amount of gas used for flotation; This represents the median value of the flotation aeration rate.

[0054] The flotation carrying capacity ratio indicates the degree of change in the particle adhesion and flotation capacity in the current flotation process relative to the median value of the reference window record set. The median value corresponding to the level is called the common level, which represents the level in the middle position after the corresponding process quantity in the reference window record set is sorted from smallest to largest. When the number is even, the level corresponding to the average of the two middle values ​​is taken.

[0055] The ratio of the amount of frother added to the median amount of frother added, and the ratio of the amount of flotation foam discharged to the median amount of flotation foam discharged, are used as the foam-liquid carrying ratio, expressed as: ; in, This represents the foam-to-liquid ratio. This refers to the amount of foaming agent added; This represents the median amount of foaming agent added. This refers to the amount of flotation foam discharged. This represents the median value of flotation foam discharge.

[0056] The foam-to-liquid ratio indicates the degree of change in foam stability and entrainment capacity in the current flotation process relative to the common level of the reference window record set.

[0057] When the flotation carrying capacity ratio is not lower than the foam carrying liquid ratio, it means that the strength of mineral particle adhesion and flotation is not weaker than the foam stability and carrying liquid strength; when the flotation carrying capacity ratio is lower than the foam carrying liquid ratio, it means that the foam stability and carrying liquid strength are higher than the strength of mineral particle adhesion and flotation.

[0058] Furthermore, the inference conclusions of grinding and classification, the flotation carrying capacity ratio, and the foam carrying capacity ratio are used to infer and determine the connection state of the classification and flotation.

[0059] When the grinding and classification inference conclusion is in a state of insufficient liberation, and the flotation carrying capacity ratio is not lower than the froth carrying capacity ratio, it is recorded as a recovery priority response state, indicating that the current particle size supply is biased towards improving the recovery level through particle attachment and flotation enhancement. When the grinding and classification inference conclusion is in a state of liberation matching, and the flotation carrying capacity ratio is lower than the froth carrying capacity ratio, it is recorded as a grade priority response state, indicating that the current particle size supply has entered a relatively stable range, and the stability of froth and the carrying capacity are more likely to affect the concentrate quality first. When the grinding and classification inference conclusion is in a state of fine slime amplification, or when the combination relationship between the current grinding and classification inference conclusion and the flotation carrying capacity ratio and the froth carrying capacity ratio does not meet the discrimination conditions of the recovery priority response state and the grade priority response state, it is recorded as a selectivity deviation state, indicating that the balance between particle carrying capacity and froth carrying capacity has been broken.

[0060] The recovery priority response state, grade priority response state, and selectivity deviation state are used as the conclusions of the classification flotation inference.

[0061] Furthermore, the dewatering feed concentration, dewatering overflow turbidity, and dewatering discharge liquid content are extracted from the gold mine flow basic records. The dewatering feed concentration, dewatering overflow turbidity, and dewatering discharge liquid content are extracted from the historical gold mine flow basic records from the reference window record set. The values ​​are sorted from smallest to largest, and the median value is taken as the median value of the dewatering feed concentration, the median value of the dewatering overflow turbidity, and the median value of the dewatering discharge liquid content. When the number is even, the average of the two middle values ​​is taken as the corresponding median value.

[0062] The ratios of dewatering feed concentration to median dewatering feed concentration, the ratio of dewatering overflow turbidity to median dewatering overflow turbidity, and the ratio of dewatering discharge liquid content to median dewatering discharge liquid content are used to calculate the dewatering acceptance difference, which is expressed as: ; in, This is the difference in dehydration acceptance; This refers to the concentration of the dewatering feed. This represents the median concentration of the dewatering feed. Turbidity of dehydrated overflow; This is the median turbidity value of the dewatering overflow. The liquid content of the dehydrated discharge material; This represents the median liquid content of the dehydrated discharge material.

[0063] When the dewatering tolerance difference is greater than or equal to zero, it indicates that the dewatering feed concentration still dominates relative to the dewatering overflow turbidity and the dewatering discharge liquid content; when the dewatering tolerance difference is less than zero, it indicates that the tolerance formed by the dewatering overflow turbidity and the dewatering discharge liquid content has exceeded the range that the dewatering feed concentration can support.

[0064] Furthermore, the flotation dewatering connection state is inferred and determined based on the dewatering acceptance difference.

[0065] When the dewatering load difference is greater than or equal to zero, it is recorded as a stable dewatering load state, indicating that after the current flotation slurry enters the dewatering process, the dewatering process maintains a relatively stable state of clear liquid separation and discharge; when the dewatering load difference is less than zero, it is recorded as a dewatering load amplification state, indicating that after the current flotation slurry enters the dewatering process, the dewatering process load begins to amplify.

[0066] The stable dewatering state and the dewatering load amplification state are used as the conclusions of flotation dewatering reasoning.

[0067] Furthermore, the reasoning conclusions of grinding and classification, flotation and dewatering are written into the reasoning conclusion record in the same order along the same gold ore flow trajectory; the reasoning conclusion record reflects the status judgment results of the current gold ore flow at the connection position of each process.

[0068] S3. Using the reference window record set as a reference, verify the inference conclusion record of the current gold ore flow segment by segment along the connection sequence of grinding and classification, classification flotation and flotation dewatering, calculate the verification difference of each process connection position, locate the first mismatch position and quantify the mismatch deviation rate.

[0069] Furthermore, the gold recovery rate, flotation concentrate grade, and flotation tailings grade are extracted from the historical gold mine flow basic records in the reference window record set, and sorted by value from smallest to largest. The value in the middle position is taken as the median value of gold recovery rate, median value of flotation concentrate grade, and median value of flotation tailings grade. When the number is even, the average of the two middle values ​​is taken as the corresponding median value.

[0070] Furthermore, the connection status of grinding and classification is verified based on the reasoning conclusions of grinding and classification.

[0071] After the grinding and classification processes work together, whether the particle size supply is consistent with the inference conclusions of grinding and classification depends not only on the particle size distribution itself, but also on whether the changes in particle size have been transmitted to flotation recovery, tailings loss and dewatering status.

[0072] When the grinding and classification inference conclusion is recorded as a liberation-matched state, it indicates that the particle size supply has fallen into a range where a stable flotation response is relatively easy to maintain, and the gold ore minerals are released relatively fully. During verification, the focus should be on whether the gold recovery rate remains above the common level of the reference window record set, and whether the flotation tailings grade remains below the common level of the reference window record set. When the gold recovery rate increases while the flotation tailings grade decreases, it indicates that the particle size supply formed by the grinding and classification processes is consistent with the liberation-matched state. Based on this, the difference between the ratio of gold recovery rate to the median gold recovery rate and the ratio of the median flotation tailings grade to the flotation tailings grade is calculated to obtain the grinding and classification verification difference, expressed as: ; in, The difference is used to verify the grinding and classification process; This represents the current gold recovery rate; This represents the median gold recovery rate. This represents the current grade of the flotation tailings. This represents the median grade of flotation tailings.

[0073] When the grinding and classification verification difference is greater than or equal to zero, it indicates that the improvement in gold recovery rate is no less than the degree of tailings loss control, and the dissociation matching state is verified; when the grinding and classification verification difference is less than zero, it indicates that although the particle size supply is judged to be in a dissociation matching state, the actual recovery improvement and tailings control have not reached the corresponding level, and the dissociation matching state has not been verified.

[0074] When the inference conclusion of grinding and classification is recorded as a state of insufficient liberation, it indicates that the influence of coarse particles is dominant, and insufficient mineral release is more likely to manifest as an increase in tailings grade, accompanied by a decrease in gold recovery. During verification, it is important to observe whether the flotation tailings grade is higher than the common level of the reference window record set, and whether the gold recovery is lower than the common level of the reference window record set. When the flotation tailings grade increases while the gold recovery decreases, it indicates that the influence of coarse particles has already appeared in the flotation results. Accordingly, the ratio of flotation tailings grade to the median flotation tailings grade and the ratio of the median gold recovery to the gold recovery are adjusted to obtain the grinding and classification verification difference, expressed as: ; When the grinding and classification verification difference is greater than or equal to zero, it indicates that the degree of tailings loss amplification is not less than the degree of recovery and fallback, and the state of insufficient liberation is verified; when the grinding and classification verification difference is less than zero, it indicates that the influence of coarse particles has not formed a sufficiently obvious release deficiency characteristic in the flotation results, and the state of insufficient liberation has not been verified.

[0075] When the grinding and classification inference conclusion is recorded as the state of fine slime amplification, it indicates that fine particle aggregation and entrainment effects will preferentially be transmitted to the dewatering process, primarily manifested as increased dewatering overflow turbidity and increased dewatering discharge liquid content, accompanied by a decrease in flotation concentrate grade. During verification, changes in dewatering overflow turbidity, dewatering discharge liquid content, and flotation concentrate grade should be observed simultaneously. Increased dewatering overflow turbidity and dewatering discharge liquid content indicate increased fine particle entrainment and dewatering burden; decreased flotation concentrate grade indicates that the effect of fine slime has been transmitted to concentrate quality. Therefore, the average of the ratio of dewatering overflow turbidity to the median dewatering overflow turbidity and the ratio of dewatering discharge liquid content to the median dewatering discharge liquid content is taken, and then the difference is adjusted with the median flotation concentrate grade and the ratio of the flotation concentrate grade to obtain the grinding and classification verification difference, expressed as: ; in, This represents the current grade of the flotation concentrate. This represents the median grade of the flotation concentrate.

[0076] When the grinding and classification verification difference is greater than or equal to zero, it indicates that the dewatering burden amplification and concentrate quality decline have reached the expected performance of the fine slime amplification state, and the fine slime amplification state has been verified. When the grinding and classification verification difference is less than zero, it indicates that although the influence of fine slime has been identified at the particle size supply side, the degree of flotation quality decline and dewatering amplification have not reached the verification requirements corresponding to the fine slime amplification state, and the fine slime amplification state has not been verified.

[0077] Furthermore, the connection status of the staged flotation is verified based on the reasoning conclusions of the staged flotation.

[0078] After the classification and flotation processes work together, whether the flotation response is consistent with the conclusions of the classification flotation depends not only on the reagent addition and aeration status itself, but also on whether these changes have been transmitted to the gold recovery rate, flotation concentrate grade, and flotation froth discharge status.

[0079] When the conclusion of the staged flotation inference is denoted as the recovery-priority response state, it indicates that the effects of particle adhesion and enhanced flotation are dominant. The flotation result is more likely to show an increase in gold recovery rate first, while the flotation concentrate grade remains stable or increases only slightly. During verification, it is crucial to observe whether the gold recovery rate remains above the common level of the reference window record set, and whether the flotation concentrate grade is not significantly lower than the common level of the reference window record set. When the gold recovery rate increases while the flotation concentrate grade remains stable or fluctuates slightly, it indicates that the current flotation process indeed exhibits a recovery-enhancing characteristic. Based on this, the difference between the ratio of gold recovery rate to the median gold recovery rate and the ratio of the median flotation concentrate grade to the flotation concentrate grade is calculated to obtain the staged flotation verification difference, expressed as: ; in, This is the difference in the verification value for staged flotation.

[0080] When the verification difference of the graded flotation is greater than or equal to zero, it indicates that the improvement in gold recovery rate is no less than the fluctuation of the flotation concentrate grade, and the recovery priority response state is verified; when the verification difference of the graded flotation is less than zero, it indicates that the flotation results do not form a response characteristic dominated by recovery improvement, and the recovery priority response state is not verified.

[0081] When the conclusion of the staged flotation inference is denoted as the grade-priority response state, it indicates that the effects of flotation foam stability and liquid carrying capacity on concentrate quality are more apparent first. The flotation results are more likely to show an improvement in concentrate grade initially, while the gold recovery rate shows little improvement or even a slight decline. During verification, it is crucial to observe whether the concentrate grade remains above the common level of the reference window record set, and whether the gold recovery rate is not significantly higher than the common level of the reference window record set. When the concentrate grade increases while the gold recovery rate remains stable or fluctuates slightly, it indicates that the current flotation process does indeed preferentially exhibit improved concentrate quality. Based on this, the difference between the ratio of the concentrate grade to the median concentrate grade and the ratio of the median gold recovery rate to the gold recovery rate is calculated to obtain the staged flotation verification difference, expressed as: ; When the difference in the graded flotation verification value is greater than or equal to zero, it indicates that the improvement in the grade of the flotation concentrate is no less than the fluctuation in the gold recovery rate, and the grade priority response state is verified. When the difference in the graded flotation verification value is less than zero, it indicates that the flotation results do not form a response characteristic mainly based on the improvement of concentrate quality, and the grade priority response state is not verified.

[0082] When the conclusion of the staged flotation inference is recorded as a selective deviation state, it indicates that the balance between particle carrying capacity and froth carrying capacity has been broken. The flotation results are more likely to show an increase in froth discharge volume, while the gold recovery rate and flotation concentrate grade do not improve synchronously. During verification, the changes in froth discharge volume, gold recovery rate, and flotation concentrate grade should be observed simultaneously. When the froth discharge volume increases, it indicates that the froth carrying capacity and discharge intensity have increased. When the gold recovery rate and flotation concentrate grade do not improve synchronously, it indicates that the flotation results have not improved accordingly with the increase in froth. Based on this, the ratio of froth discharge volume to the median value of froth discharge volume is taken as the froth amplification amount. The average of the ratio of gold recovery rate to the median value of gold recovery rate and the ratio of flotation concentrate grade to the median value of flotation concentrate grade is taken as the flotation result level. The difference between the froth amplification amount and the flotation result level is then calculated to obtain the staged flotation verification difference, expressed as: ; When the difference in the verification value of the staged flotation is greater than or equal to zero, it indicates that the degree of foam amplification is not less than the degree of improvement in the flotation results, and the selective deviation state is verified. When the difference in the verification value of the staged flotation is less than zero, it indicates that although foam amplification exists, the degree of foam amplification does not meet the verification requirements corresponding to the selective deviation state, and the selective deviation state is not verified.

[0083] Furthermore, the connection status of flotation dewatering is verified based on the reasoning conclusions of flotation dewatering.

[0084] After the slurry discharged from the flotation process enters the dewatering process, whether the dewatering status is consistent with the conclusions drawn from the flotation dewatering depends not only on the concentration of the dewatering feed itself, but also on whether the fine particle entrainment and the residual liquid in the discharge have been amplified simultaneously.

[0085] When the flotation dewatering inference conclusion is recorded as a stable dewatering state, it indicates that after the current flotation discharge slurry enters the dewatering process, the dewatering feed concentration still dominates relative to the dewatering overflow turbidity and the dewatering discharge liquid content. During verification, it is crucial to observe whether the dewatering feed concentration remains above the common level of the reference window record set, and whether the dewatering overflow turbidity and dewatering discharge liquid content remain below the common level of the reference window record set. When the dewatering feed concentration remains high, but the dewatering overflow turbidity and dewatering discharge liquid content do not significantly increase, it indicates that the flotation discharge slurry can still maintain a relatively stable clear-liquid separation and discharge state after entering the dewatering process. Based on this, the differences between the ratio of dewatering feed concentration to the median dewatering feed concentration, the ratio of dewatering overflow turbidity to the median dewatering overflow turbidity, and the median dewatering discharge liquid content are calculated to obtain the flotation dewatering verification difference, expressed as: ; in, This is the difference in flotation dewatering verification.

[0086] When the flotation dewatering verification difference is greater than or equal to zero, it indicates that the degree of concentration of the dewatering feed is maintained at a level no less than the amplification of the turbidity of the dewatering overflow and the liquid content of the dewatering discharge, and the stable dewatering state is verified. When the flotation dewatering verification difference is less than zero, it indicates that although the concentration of the dewatering feed is determined to be dominant, the actual separation of clear liquid and discharge state have not reached the corresponding level, and the stable dewatering state has not been verified.

[0087] When the flotation dewatering inference conclusion is recorded as a state of amplified dewatering load, it indicates that after the flotation discharge slurry enters the dewatering process, the burden of fine entrainment and residual liquid in the discharge is already higher than the range that the dewatering feed concentration can support. During verification, it is important to observe whether the turbidity of the dewatering overflow and the liquid content of the dewatering discharge are higher than the common levels in the reference window record set, and whether the dewatering feed concentration has failed to provide sufficient support. When the turbidity of the dewatering overflow and the liquid content of the dewatering discharge increase, it indicates that the burden of fine entrainment and residual liquid in the discharge has increased, and the dewatering feed concentration has failed to offset this amplification trend, indicating that the burden on the dewatering process has indeed increased. Accordingly, the ratio of the dewatering overflow turbidity to the median value of the dewatering overflow turbidity and the ratio of the liquid content of the dewatering discharge to the median value of the dewatering discharge liquid content are added together, and then the difference is adjusted with the ratio of the dewatering feed concentration to the median value of the dewatering feed concentration to obtain the flotation dewatering verification difference, expressed as: ; When the flotation dewatering verification difference is greater than or equal to zero, it indicates that the amplification degree of fine particle entrainment and discharge residual liquor burden is not less than the support degree of the dewatering feed concentration, and the dewatering load amplification state is verified; when the flotation dewatering verification difference is less than zero, it indicates that although the dewatering process is judged to be a load amplification, the amplification degree of fine particle entrainment and discharge residual liquor burden does not meet the verification requirements corresponding to the dewatering load amplification state, and the dewatering load amplification state is not verified.

[0088] Furthermore, along the process transfer sequence of grinding and classification, classification and flotation, and flotation dewatering, the verification difference of grinding and classification, classification and flotation, and flotation dewatering are compared in sequence. The process connection position corresponding to the first verification difference less than zero is recorded as the first mismatch position. The first mismatch position indicates the first process connection position where the inferred conclusion is inconsistent with the actual process performance along the process transfer sequence.

[0089] When the verification difference for grinding and classification is less than zero, it indicates that the inference conclusion at the initial connection point is inconsistent with the actual process performance, and this connection point is recorded as the first mismatch position. When the verification difference for grinding and classification is greater than or equal to zero and the verification difference for flotation is less than zero, it indicates that the connection point for grinding and classification has been verified, but the inference conclusion at the flotation connection point is inconsistent with the actual process performance for the first time, and this connection point is recorded as the first mismatch position. When the verification difference for grinding and classification is greater than or equal to zero, the verification difference for flotation is greater than or equal to zero, and the verification difference for flotation dewatering is less than zero, it indicates that the connection points for grinding and classification and flotation have been verified, but the inference conclusion at the flotation dewatering connection point is inconsistent with the actual process performance for the first time, and this connection point is recorded as the first mismatch position. When the verification differences for grinding and classification, flotation, and flotation dewatering are all greater than or equal to zero, it is recorded as a position without mismatch.

[0090] It should be noted that when verifying the process step by step along the sequence of grinding and classifying, classifying flotation and flotation dewatering, the inference deviation that occurs at the upstream process connection point will continue to be transmitted downstream and form a cascading effect at the subsequent process connection points. Therefore, the process connection point corresponding to the first verification difference less than zero is recorded as the first mismatch point, which is used to characterize the point where the inference conclusion and the actual process performance first appear in the current gold mine flow throughout the entire process, thereby avoiding misjudging the deviation formed by subsequent transmission as the initial deviation point.

[0091] Furthermore, after the first mismatch location is determined, the ratio of the absolute value of the verification difference at the first mismatch location to the absolute value of the verification difference at the first mismatch location is taken as the mismatch deviation rate, expressed as: ; in, This refers to the mismatch deviation rate. This is the first mismatch location to verify the difference.

[0092] When the first mismatch position is recorded as the transition position between grinding and classification, the verification difference between grinding and classification is recorded as the verification difference of the first mismatch position; when the first mismatch position is recorded as the transition position between classification and flotation, the verification difference between classification and flotation is recorded as the verification difference of the first mismatch position; when the first mismatch position is recorded as the transition position between flotation and dewatering, the verification difference between flotation and dewatering is recorded as the verification difference of the first mismatch position; when no mismatch position occurs, the mismatch deviation rate is recorded as zero; the larger the mismatch deviation rate, the more obvious the deviation between the inference conclusion at the first mismatch position and the actual process performance.

[0093] S4. Based on the first mismatch location and mismatch deviation rate, the key process quantities at the first mismatch process connection location are proportionally corrected to form an optimized execution record.

[0094] Furthermore, after the first mismatch location is determined, the key process quantities at the corresponding process connection locations are selected as the correction objects according to the first mismatch location.

[0095] When the first mismatch position is recorded as the grinding and classification connection position, the unit energy consumption of grinding and the classification cutting particle size are used as the correction objects; when the first mismatch position is recorded as the classification and flotation connection position, the amount of collector added, the amount of frother added, the flotation aeration amount and the flotation foam discharge amount are used as the correction objects; when the first mismatch position is recorded as the flotation dewatering connection position, the flotation foam discharge amount and the dewatering feed concentration are used as the correction objects.

[0096] When the first mismatch position is recorded as a position where no mismatch occurs, the correction object and correction reference value are no longer selected separately. Instead, the current grinding unit energy consumption, current classification and cutting particle size, current collector addition amount, current frother addition amount, current flotation aeration amount, current flotation foam discharge amount, and current dewatering feed concentration are directly written into the optimization execution record as the corrected process quantities.

[0097] Furthermore, extract the same type of process quantity at the process connection position of the first mismatch position from the historical gold mine flow basic records in the reference window record set, sort the same type of process quantity in ascending order of value, and take the value of the middle position as the correction reference value; when the number of the same type of process quantity is even, take the average of the two middle values ​​as the correction reference value.

[0098] When the first mismatch position is recorded as the grinding and classification transition position, the historical unit energy consumption of grinding and the historical classification cutting particle size are used as the correction reference values ​​for unit energy consumption of grinding and classification cutting particle size, respectively. When the first mismatch position is recorded as the classification and flotation transition position, the historical collector addition amount, historical frother addition amount, historical flotation aeration amount, and historical flotation foam discharge amount are used as the correction reference values ​​for collector addition amount, frother addition amount, flotation aeration amount, and flotation foam discharge amount, respectively. When the first mismatch position is recorded as the flotation dewatering transition position, the historical flotation foam discharge amount and historical dewatering feed concentration are used as the correction reference values ​​for flotation foam discharge amount and dewatering feed concentration, respectively.

[0099] The calibration reference value represents the median level of the corresponding process quantity in the reference window record set; when the current process quantity is higher than the calibration reference value, the calibration direction is to decrease the current process quantity; when the current process quantity is lower than the calibration reference value, the calibration direction is to increase the current process quantity; the greater the mismatch deviation rate, the greater the magnitude of the current process quantity approaching the calibration reference value.

[0100] Furthermore, the difference between the current process quantity and the calibration reference value is used as the calibration basis, and the extent to which the current process quantity approaches the calibration reference value is determined according to the mismatch deviation rate, resulting in the calibrated process quantity, expressed as: ; in, For the corrected process quantity; This represents the current process volume; This is for calibration reference values.

[0101] When the first mismatch position is recorded as a position where no mismatch has occurred, the current process quantity is used as the corrected process quantity.

[0102] Furthermore, when the first mismatch position is recorded as the grinding and classifying connection position, the grinding unit energy consumption and the classifying cutting particle size are proportionally corrected to obtain the corrected grinding unit energy consumption and the corrected classifying cutting particle size. The corrected grinding unit energy consumption is used to correct the grinding intensity, and the corrected classifying cutting particle size is used to correct the interface position where coarse and fine particles are separated. When the two change synchronously, the particle size supply offset at the grinding and classifying connection position is adjusted accordingly.

[0103] When the first mismatch position is recorded as the staged flotation connection position, the collector addition amount, frother addition amount, flotation aeration amount, and flotation foam discharge amount are proportionally corrected to obtain the corrected collector addition amount, corrected frother addition amount, corrected flotation aeration amount, and corrected flotation foam discharge amount. The corrected collector addition amount is used to correct the degree of hydrophobic enhancement of the mineral particle surface, the corrected frother addition amount is used to correct the degree of foam stability, the corrected flotation aeration amount is used to correct the bubble supply intensity, and the corrected flotation foam discharge amount is used to correct the foam liquid carrying and discharge intensity. When the four process quantities change synchronously, the flotation response offset at the staged flotation connection position is adjusted accordingly.

[0104] When the first mismatch position is recorded as the flotation-dewatering connection position, the flotation foam discharge rate and the dewatering feed concentration are proportionally corrected to obtain the corrected flotation foam discharge rate and the corrected dewatering feed concentration. The corrected flotation foam discharge rate is used to correct the foam entrainment strength before entering the dewatering process, and the corrected dewatering feed concentration is used to correct the slurry load level before entering the dewatering process. When the two change synchronously, the acceptance offset of the flotation-dewatering connection position will be adjusted accordingly.

[0105] Furthermore, the first mismatch location, mismatch deviation rate, key process quantities, correction reference values, and corrected process quantities are written into the optimization execution record; the optimization execution record reflects the process adjustment direction, process adjustment range, and process adjustment results at the first mismatch process connection location.

[0106] It should also be noted that, to verify the invention's ability to uniformly identify the cross-process state transfer relationship between grinding and classification, classification flotation, and flotation dewatering, as well as its ability to locate and directionally adjust the first mismatch position, a simulation verification process was constructed within the continuous operation data framework of gold ore beneficiation. During the simulation verification, the continuous ore flow was first merged and organized according to the ore flow entry time, grinding discharge time, classification overflow time, flotation discharge time, and dewatering discharge time to form a basic record of the gold ore flow. A reference window record set was then extracted from the historical gold ore flow basic records that had completed the entire process. Common operating levels in the reference window record set were then used as a stable reference, and process quantities not considered as the focus of the investigation were kept stable. Subsequently, three types of disturbance intervals are set up along the process transfer sequence: the first disturbance stage focuses on changing the return sand ratio, grinding unit energy consumption, and the proportion of classifying overflow particles, so that the particle size supply matching amount changes first; the second disturbance stage focuses on changing the amount of collector added, the amount of frother added, the flotation aeration amount, and the flotation foam discharge amount, so that the flotation carrying capacity ratio and the foam carrying liquid ratio change first; the third disturbance stage focuses on changing the dewatering feed concentration, dewatering overflow turbidity, and dewatering discharge liquid content, so that the dewatering carrying capacity difference changes first. On each gold ore stream, the particle size distribution, flotation carrying capacity ratio, foam liquid carrying capacity ratio, and dewatering carrying capacity difference are calculated according to the processing path described in this invention to obtain the grinding and classification reasoning conclusion, the classification and flotation reasoning conclusion, and the flotation and dewatering reasoning conclusion. Then, according to the reasoning conclusion, the grinding and classification verification difference, the classification and flotation verification difference, and the flotation and dewatering verification difference are formed respectively. The three verification differences are then compared in turn to locate the first mismatch position, calculate the mismatch deviation rate, select the key process quantity according to the first mismatch position, and perform proportional correction to form the corrected process quantity and optimized execution record. Figure 5 and Figure 6 This is obtained by compiling and plotting the results of the changes in the three verification differences on the continuous ore flow sample, as well as the changes in the verification difference of the first mismatch position before and after correction. Figure 5 The three curves in the middle represent the verification difference of grinding and classification, the verification difference of classification and flotation, and the verification difference of flotation and dewatering, respectively. Figure 6 The two curves represent the results before and after correction of the verification difference of the first mismatch position, respectively.

[0107] like Figure 5As shown, in the initial disturbance stage, the grinding-classification verification difference first changed from positive to negative, while the classification-flotation verification difference and the flotation-dewatering verification difference subsequently decreased gradually. This indicates that after changes in the return sand ratio, grinding unit energy consumption, and the proportion of classification overflow particle size, the particle size supply shift first appeared at the grinding-classification junction and then continued to propagate along the classification-flotation and flotation-dewatering directions. In the middle disturbance stage, the classification-flotation verification difference first decreased significantly, while the grinding-classification verification difference remained near zero or slightly increased, indicating that the flotation-dewatering verification difference... The water verification difference then began to decrease, indicating that changes in the amount of collector added, frother added, flotation aeration, and flotation foam discharged preferentially affect the transition point between staged flotation and continue to propagate downstream. In the later disturbance stage, the flotation dewatering verification difference shifted downward first and most significantly, while the grinding and staged flotation verification differences remained near zero or fluctuated only slightly. This indicates that disturbances in the dewatering feed concentration, dewatering overflow turbidity, and dewatering discharge liquid content are mainly concentrated at the transition point between flotation and dewatering. Figure 5 The order in which the three curves shift downward at different disturbance stages is consistent with the path of the present invention for reasoning and verifying the connection state along grinding and classification, classification flotation and flotation dewatering. This indicates that process deviations from different sources can be preferentially manifested at the corresponding connection positions and then transmitted sequentially along subsequent process links, thereby making the cross-process state transmission relationship clearer.

[0108] like Figure 6 As shown, in the scenarios of grinding and classification connection, classification and flotation connection, and flotation and dewatering connection, the pre-correction curves of the verification difference of the first mismatch position are all in the negative range and further shift downwards along the sample, indicating that there has been a significant deviation between the inference conclusion and the actual process performance. After determining the first mismatch position by comparing the three verification differences in sequence according to the present invention, and then performing proportional correction on the corresponding key process quantities based on the mismatch deviation rate, the post-correction curves of the verification difference of the first mismatch position all shift upwards and gradually approach zero or turn into or above zero. Figure 6 The spacing between the two curves in the three connection scenarios maintains a relatively stable improvement trend, indicating that the proportional correction does not adjust all process quantities indiscriminately, but rather selects the corresponding key process quantities for targeted adjustment based on the first mismatch position, thereby causing the verification difference at the first mismatch position to rebound in the direction of verification success.

[0109] In summary, this invention achieves unified identification of the cross-process state transmission relationship between grinding and classification, classification flotation, and flotation dewatering by: merging the proportion of overflow particles in the classification process, combining the return sand ratio and grinding unit energy consumption to form the appropriate particle size supply; and combining the flotation carrying capacity ratio, foam carrying liquid ratio, and dewatering carrying capacity difference to perform connection state reasoning and judgment. Furthermore, by calculating and verifying the difference along the connection sequence of grinding and classification, classification flotation, and flotation dewatering, the first mismatch location is located and the mismatch deviation rate is quantified. Finally, by proportionally correcting the key process quantities, targeted adjustment of the mismatch process is achieved.

[0110] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification, characterized in that, include: Step S1: Collect gold mine flow process records, combine and organize them according to the time sequence of the flow, and obtain a set of basic gold mine flow records and reference window records; Step S2: Based on the gold ore flow basic record and reference window record set, reason and judge the connection status of grinding and classification, classification flotation and flotation dewatering, and obtain the reasoning conclusion record; Step S3: Using the reference window record set as a reference, verify the inference conclusion record of the current gold ore flow segment by segment along the connection sequence of grinding and classification, classification flotation and flotation dewatering, calculate the verification difference of each process connection position, locate the first mismatch position and quantify the mismatch deviation rate. Step S4: Based on the first mismatch location and mismatch deviation rate, perform proportional correction on the key process quantities at the first mismatch process connection location to form an optimized execution record.

2. The mineral processing optimization method combining theoretical reasoning and data verification as described in claim 1, characterized in that, The gold ore stream collection process record includes collecting the grade of the raw ore, the quality of the ore stream, and the time when the ore stream enters, forming a selection start record; Collect the power consumption of the mill, the grinding capacity and the time of grinding discharge, and compile the data to obtain the unit energy consumption of grinding and form a grinding process record; Collect the overflow particle size range, overflow particle size ratio, return sand flow rate, graded feed flow rate, and overflow time, and compile the return sand ratio and graded cutting particle size to form a graded process record; Collect the following data: amount of collector added, amount of frother added, flotation aeration volume, flotation froth discharge volume, flotation discharge time, flotation concentrate grade, and flotation tailings grade. Then, compile the data to obtain the gold recovery rate and form a flotation process record. Collect data on dewatering feed concentration, dewatering overflow turbidity, dewatering discharge liquid content, and dewatering discharge time to form a dewatering process record; The initial selection record, grinding process record, classification process record, flotation process record, and dewatering process record are written into the same process record sequence in a unified clock order to form the gold ore flow process record.

3. The method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification as described in claim 2, characterized in that, The combination of the ore flow time sequence relationship is merged and sorted to obtain the gold mine ore flow basic record and reference window record set, which includes the ore flow time sequence relationship sorted according to the ore flow entry time, grinding discharge time, classification overflow time, flotation discharge time and dewatering discharge time. Based on the temporal relationship of the ore flow, the entry start record, grinding process record, classification process record, flotation process record and dewatering process record of the same gold ore flow are merged and organized in chronological order to obtain the basic record of the gold ore flow; Using the entry time of the gold mine flow in the basic gold mine flow record as the backtracking endpoint and the total process duration in the basic gold mine flow record as the backtracking length, historical gold mine flow records whose entry time falls within the backtracking time range and have completed dewatering and discharge are extracted to obtain a reference window record set.

4. The method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification as described in claim 3, characterized in that, The reasoning and judgment of the connection state of grinding and classification, classification flotation and flotation dewatering includes extracting the classification overflow particle size range, classification overflow particle size ratio and classification cutting particle size from the historical gold mine flow basic records in the reference window record set, forming a historical cumulative cutting percentage set, and performing quantile statistics on the historical cumulative cutting percentage set to obtain the fine mud boundary particle size, the lower limit particle size of the flotation response particle size and the upper limit particle size of the flotation response particle size. Based on the fine mud boundary particle size, the lower limit particle size of the flotation response particle size, and the upper limit particle size of the flotation response particle size, the connection state of grinding and classification is inferred and judged, and the grinding and classification inference conclusion is obtained. Based on the reasoning conclusions of grinding and classification, the connection state of classification flotation is determined by reasoning, and the reasoning conclusions of classification flotation are obtained. By using the dewatering acceptance difference, the connection state of flotation dewatering is inferred and judged, and the flotation dewatering inference conclusion is obtained; The inference conclusions of grinding and classification, flotation and dewatering are written into the inference conclusion record in the order of the same gold ore flow trajectory.

5. The mineral processing optimization method combining theoretical reasoning and data verification as described in claim 4, characterized in that, The reasoning and judgment of the connection state of grinding and classification, and the reasoning conclusion of grinding and classification, include merging the current classification overflow particle size ratio in the gold ore flow basic record into intervals to form the fine mud ratio, flotation response particle size ratio and coarse particle ratio. The amplification effect of the return sand ratio and the unit energy consumption of grinding on particle size displacement is combined to form the particle size supply matching amount. Based on the appropriate particle size distribution, the proportion of fine clay, and the proportion of coarse particles, the grinding and classification connection state is determined as a dissociation matching state, a dissociation insufficiency state, or a fine clay amplification state, and the dissociation matching state, dissociation insufficiency state, and fine clay amplification state are used as the inference conclusions of grinding and classification.

6. The method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification as described in claim 4, characterized in that, The reasoning and judgment of the connection state of the staged flotation to obtain the staged flotation reasoning conclusion includes extracting the amount of collector added, the amount of frother added, the amount of flotation aeration and the amount of flotation foam discharged from the gold ore flow basic record and reference window record set, and statistically forming the corresponding median value. The flotation carrying capacity ratio was compiled according to the collector addition amount, the median value of the collector addition amount, the flotation aeration amount, and the median value of the flotation aeration amount. The foam carrying capacity ratio was compiled according to the frother addition amount, the median value of the frother addition amount, the flotation foam discharge amount, and the median value of the flotation foam discharge amount. Based on the inference conclusions of grinding and classification, the flotation carrying capacity ratio and the froth carrying capacity ratio, the connection state of classification flotation is determined as either a recovery priority response state, a grade priority response state, or a selectivity deviation state, and the recovery priority response state, grade priority response state, and selectivity deviation state are taken as the inference conclusions of classification flotation.

7. The method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification as described in claim 4, characterized in that, The reasoning and judgment of the connection state of flotation dewatering to obtain the flotation dewatering reasoning conclusion includes extracting the dewatering feed concentration, dewatering overflow turbidity and dewatering discharge liquid content from the gold ore flow basic record and reference window record set, and statistically forming the corresponding median value; The differences between the dewatering feed concentration, the median dewatering feed concentration, the dewatering overflow turbidity, the median dewatering overflow turbidity, the dewatering discharge liquid content, and the median dewatering discharge liquid content are processed to form the dewatering acceptance difference. Based on the dewatering acceptance difference, the flotation dewatering connection state is determined to be either a stable dewatering acceptance state or a dewatering load amplification state, and the stable dewatering acceptance state and the dewatering load amplification state are used as the conclusions of flotation dewatering inference.

8. The method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification as described in claim 7, characterized in that, The process of verifying the inference conclusions of the current gold mine flow segment by segment and calculating the verification difference at each process connection point includes extracting the gold recovery rate, flotation concentrate grade and flotation tailings grade from the historical gold mine flow basic records in the reference window record set, and statistically forming the median value of gold recovery rate, median value of flotation concentrate grade and median value of flotation tailings grade. Based on the grinding and classification reasoning conclusions recorded in the reasoning conclusions, the gold recovery rate, flotation concentrate grade, flotation tailings grade, dewatering overflow turbidity, and dewatering discharge liquid content of the current gold mine flow are verified to form grinding and classification verification differences. By using the inference conclusions of the staged flotation in the inference conclusion record, the gold recovery rate, flotation concentrate grade and flotation foam discharge of the current gold mine ore stream are verified, and the staged flotation verification difference is formed. Based on the flotation dewatering reasoning conclusions recorded in the reasoning conclusions record, the dewatering feed concentration, dewatering overflow turbidity, and dewatering discharge liquid content of the current gold ore flow are verified to form a flotation dewatering verification difference.

9. The method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification as described in claim 8, characterized in that, The process of locating the first mismatch position and quantifying the mismatch deviation rate includes comparing the verification difference of grinding and classification, the verification difference of classification and flotation, and the verification difference of flotation and dewatering in sequence along the process transfer order of grinding, classification and flotation, and flotation and dewatering. The process connection position corresponding to the first verification difference that is less than zero is recorded as the first mismatch position, and the first verification difference that is less than zero is recorded as the verification difference of the first mismatch position. The normalized percentage of the absolute value of the verification difference of the first mismatch position is used as the mismatch deviation rate.

10. The method for optimizing the entire mineral processing process by combining theoretical reasoning and data verification as described in claim 1 or 9, characterized in that, The step of proportionally correcting the key process quantities at the first mismatch process connection position based on the first mismatch position and the mismatch deviation rate to form an optimized execution record includes selecting the key process quantities at the corresponding process connection position as the correction object according to the first mismatch position; Extract the same process quantity at the process connection position of the first mismatch location from the historical gold mine flow basic records in the reference window record set, and statistically form a correction reference value; Based on the mismatch deviation rate, the difference between the current process quantity and the correction reference value is used as the basis for correction. The key process quantities are proportionally corrected to form the corrected process quantities. Write the first mismatch location, mismatch deviation rate, critical process quantity, correction reference value, and corrected process quantity into the optimization execution record.

Images