Chemical adding control system and method for ore microbubble flotation

Abstract

The invention belongs to the technical field of ore flotation dosing control, and particularly discloses a dosing control system and method for ore microbubble flotation, and the system comprises an ore data import module, an ore pulp data monitoring module, an ore pulp adjustment analysis module, a dosing control analysis module, a database and a flotation dosing control terminal. According to the invention, by confirming the inhibitor adding index, confirming and analyzing the appropriate adding amount and the appropriate adding time point of each medicament type and carrying out medicament adding control, the problem existing in the control of the medicament adding amount and the medicament adding time depending on the experience and skill of operators at present is solved, the difference existing in the judgment and operation of different operators is avoided, and the accuracy of medicament adding control is improved. The method provides a powerful guarantee for the accuracy and stability of dosing each time, solves the problem that the difference of properties of ores in different mining areas and different mining stages is less considered at present, and avoids the phenomena of agent waste or poor flotation effect and the like.

Description

Technical Field

[0001] The invention belongs to the technical field of ore flotation dosing control, and in particular relates to a dosing control system and method for ore microbubble flotation. Background Art

[0002] In the process of ore microbubble flotation, the amount and timing of reagent addition play a vital role in the flotation effect. Appropriate reagent addition can effectively improve the separation efficiency of useful minerals and gangue minerals, improve the concentrate grade and recovery rate, thus highlighting the necessity and importance of dosing control.

[0003] At present, the dosing method still uses manual experience dosing or an automated system with a fixed dosing ratio. There are still the following problems: 1. Relying on the experience and skills of the operator to determine the amount and timing of dosing. There are differences in the judgment and operation of different operators, and it is difficult to ensure the accuracy and stability of each dosing. When the dosing ratio is fixed, the equipment may have measurement deviations after long-term use. The wear of the metering pump will cause inaccurate flow, which makes the dosing amount less accurate.

[0004] 2. The properties of ores in different mining areas and at different mining stages vary greatly. Currently, little consideration is given to this differentiation, and timely adjustments cannot be made based on changes in ore composition and structure, resulting in waste of reagents or poor flotation effects. In addition, no further analysis has been conducted on the state of the slurry in the flotation cell, and no flexible adjustment has been made to the dosing ratio, resulting in a decrease in flotation recovery rate and concentrate grade.

[0005] 3. Currently, the flotation indicators are not continuously monitored and dynamically optimized and adjusted, which makes it impossible to further improve the accuracy of dosing and flotation effect, resulting in no obvious improvement in production efficiency. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a dosing control system and method for ore microbubble flotation is now proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a dosing control system for ore microbubble flotation, the system comprising: an ore data import module for importing mining monitoring data of ore samples and monitoring data after crushing.

[0008] The slurry data monitoring module is used to prepare the slurry for the ground ore, record the starting slurry preparation time point, and monitor the concentration, pH value and temperature of the slurry in the flotation tank in real time, and record the current cumulative stirring time.

[0009] The slurry adjustment analysis module is used to confirm the inhibitor addition index based on the data imported by the ore data import module and the data monitored by the slurry data monitoring module.

[0010] The dosing control analysis module is used to analyze the appropriate addition amount of each type of reagent based on the data imported by the ore data import module and the data monitored by the slurry data monitoring module.

[0011] The database is used to store the set delivery amount of each reagent type during each reagent delivery and monitor the actual delivery amount, and store the concentration, pH value, concentration change rate and pH value change rate of the slurry in the flotation tank corresponding to each stirring time.

[0012] The flotation dosing control terminal is used to control the metering pump to adjust the amount of inhibitor added according to the inhibitor addition index and deliver it to the flotation tank. At the same time, it controls the metering pump to control the delivery amount of the reagent according to the appropriate addition amount and add the reagent to the flotation tank.

[0013] The present invention also provides a dosing control method for ore microbubble flotation, the method comprising: S1, ore data import: importing mining monitoring data of ore samples and monitoring data after crushing.

[0014] S2. Slurry data monitoring: Prepare slurry for the ground ore, record the starting slurry preparation time, and monitor the concentration, pH value and temperature of the slurry in the flotation tank in real time, and import the currently set stirring parameters.

[0015] S3. Slurry adjustment analysis: Based on the data from steps S1 and S2, confirm the inhibitor addition index.

[0016] S4. Dosing control analysis: Based on the data from steps S1 and S2, analyze the appropriate amount of each type of agent to be added.

[0017] S5. Flotation dosing control: Control the metering pump to adjust the amount of inhibitor added according to the inhibitor addition index and deliver it to the flotation tank. At the same time, control the metering pump to control the delivery amount of the reagent according to the appropriate addition amount and add the reagent to the flotation tank.

[0018] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention solves the problem of currently relying on the operator's experience and skills to control the dosage and timing of dosing by confirming the inhibitor addition index and confirming and analyzing the appropriate addition amount of each type of agent, and performing dosing control, thereby avoiding the differences in judgment and operation of different operators and providing a strong guarantee for the accuracy and stability of dosing.

[0019] (2) The present invention combines the monitoring data of two time periods, namely, mining and crushing of ore samples, to set the target inhibition mineral component compensation factor and analyze the composition uniformity of the ore samples in the monitoring area, thereby confirming the content of the target inhibition mineral component. This avoids the deficiency of only considering the content of the crushed mineral component at present, accurately grasps the content of the target inhibition mineral component, and can provide an accurate basis for the addition of inhibitors in the flotation process.

[0020] (3) The present invention sets a target suppression mineral component compensation factor by combining the annotated mining time points of different ore samples, the content of each mineral component and the structural monitoring data, and combines the content of each mineral component in each monitoring area to statistically calculate the composition uniformity of the ore samples in the monitoring area, thereby solving the current problem of insufficient consideration of the differences in ore properties in different mining areas and different mining stages, fully integrating the changes in ore composition, structure, etc., and performing corresponding target suppression of mineral component content compensation, thereby achieving timely adjustment of ore microbubble flotation and avoiding the occurrence of phenomena such as reagent waste or poor flotation effect.

[0021] (4) The present invention continuously monitors flotation indicators and further analyzes the state of the slurry in the flotation tank, and then analyzes the appropriate addition amount of each type of reagent, thereby improving the subsequent flotation recovery rate and concentrate grade. In addition, by setting the delivery amount of each reagent in combination with the corresponding setting of the delivery amount and monitoring the actual delivery amount to set the addition amount compensation factor, it compensates for the measurement deviation caused by the wear of the metering pump after long-term use and then causes inaccurate flow, ensures the consistency between the planned dosage and the actual dosage, thereby ensuring the accuracy and effectiveness of the dosage setting, and also realizes the dynamic optimization and adjustment of the dosage, further significantly improving the accuracy of the dosage, the flotation effect and the production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0023] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention.

[0024] Figure 2 The present invention is a schematic flow chart of the steps for implementing the method.

[0025] Figure 3 Schematic diagram of the process for confirming the appropriate addition amount of each type of medicine in the present invention. DETAILED DESCRIPTION

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

[0027] See also Figure 1 As shown, the present invention provides a dosing control system for ore microbubble flotation, which includes: an ore data import module, a slurry data monitoring module, a slurry adjustment analysis module, a dosing control analysis module, a database and a flotation dosing control terminal.

[0028] In the above, the ore data import module and the slurry data monitoring module are respectively connected to the slurry adjustment analysis module and the dosing control analysis module, the slurry adjustment analysis module and the dosing control analysis module are both connected to the flotation dosing control terminal, and the dosing control analysis module is also connected to the database.

[0029] The ore data import module is used to import the mining monitoring data of the ore sample and the monitoring data after crushing.

[0030] Specifically, the mining monitoring data includes the content of the target inhibition mineral components corresponding to each monitored ore, the marked mining time point, the content of each mineral component and the structural monitoring data, among which the structural monitoring data is the monitoring structure type corresponding to each monitored part.

[0031] In a specific embodiment, the monitored structure types include crystalline structures, substitutional structures, solid solution separation structures and fragmentation structures, among which crystalline structures include euhedral structures, semihedral structures and xenomorphic structures, substitutional structures include dissolution structures, substitutional residual structures and skeletal structures, solid solution separation structures include emulsion-like structures and leaf-like structures, and fragmentation structures include plaque-like structures and mylonitic structures.

[0032] It should be added that before importing the mining monitoring data of ore samples, sampling settings are also involved. Specifically, stratified sampling, multi-point sampling, and batch sampling can be used. If the ore is piled together, stratified sampling is performed for ores at different heights. For example, for large ore piles, samples are collected from different positions at the top, middle, and bottom to ensure that the samples can represent the differences in properties at different heights of the entire ore pile. Multi-point sampling refers to selecting multiple sampling points in different areas of the ore pile, and a certain amount of ore samples are collected at each sampling point. If the ore is transported or stored in different batches, each batch of ore is sampled independently. Determine the number and frequency of sampling according to the size of the batch to ensure that the properties of each batch of ore can be accurately detected.

[0033] It should also be added that for the simultaneous detection of the composition of multiple ores, a combined spectral analysis device can be used, such as the combination of an X-ray fluorescence spectrometer and an inductively coupled plasma emission spectrometer. First, use XRF to quickly perform qualitative and semi-quantitative elemental analysis on multiple ore samples to screen out the elements of focus, and then use I CP-OES to perform more precise quantitative analysis of these elements, which can improve the detection efficiency and accuracy. At the same time, multiple online ore component analyzers are used for real-time detection, and multi-channel sensors are used to quickly obtain the content of each mineral component in each ore flow and the content of the target inhibition mineral component.

[0034] It can be understood that the monitoring structure type corresponding to each monitoring position can be obtained by scanning each monitoring position with a scanning electron microscope.

[0035] In another specific embodiment, the content of target inhibition mineral components corresponding to each monitoring area and the content of each mineral component in each monitoring area are extracted from the monitoring data after crushing, which can be obtained by X-ray fluorescence spectroscopy, wherein the X-rays emitted by the X-ray fluorescence spectrometer interact with the elements in the samples in each monitoring area, and the generated fluorescence is detected by the detector. After data processing and analysis, the content of elements in each mineral component in each monitoring area can be obtained.

[0036] The slurry data monitoring module is used to prepare slurry for the ground ore, record the starting slurry preparation time point, and monitor the concentration, pH value and temperature of the slurry in the flotation tank in real time, and record the current cumulative stirring time.

[0037] Understandably, the concentration of the ore pulp in the flotation tank can be monitored in real time by installing the radiation source and detector of the radioactive concentration meter on both sides of the flotation tank, so that the radiation can pass through the ore pulp. The detector receives the radiation signal after passing through the ore pulp and converts it into an electrical signal. After signal processing and calculation, the concentration value of the ore pulp is obtained. An ultrasonic transducer can also be installed at a suitable position of the flotation tank, which can both emit ultrasonic waves and receive reflected ultrasonic signals. The ultrasonic waves emitted by the transducer propagate in the ore pulp, and will be reflected and refracted when encountering media of different concentrations. According to the time and intensity of the received reflected signal, the concentration of the ore pulp is obtained after analysis and processing. In addition, the density meter can also be immersed in the ore pulp in the flotation tank. The density meter will be affected by the buoyancy of the ore pulp. By measuring the immersion depth of the density meter or the size of the buoyancy, the density value of the ore pulp is obtained through conversion, and then the concentration of the ore pulp is calculated. Common ones include differential pressure density meters, vibration density meters, etc.

[0038] It can be understood that the real-time monitoring of the pH value of the pulp in the flotation cell is to insert the glass electrode and the reference electrode into the pulp in the flotation cell to ensure that the electrodes are in full contact with the pulp. The pH meter is connected to the electrodes through wires to measure and display the pH value of the pulp.

[0039] Understandably, to monitor the temperature of the slurry in the flotation tank in real time, the measuring end of the thermocouple can be inserted into the slurry in the flotation tank, and the reference end is kept in a known constant temperature environment such as an ice-water mixture. The thermoelectric potential generated by the thermocouple is transmitted to the temperature display instrument through a wire, and the instrument displays the temperature value of the slurry after conversion. Thermistor probes can also be inserted into the slurry, and the resistance value of thermistor will change with the change of the slurry temperature. By measuring the resistance value of thermistor and converting it according to its resistance-temperature characteristic curve, the temperature of the slurry can be obtained.

[0040] The slurry adjustment analysis module is used to confirm the inhibitor addition index based on the data imported by the ore data import module and the data monitored by the slurry data monitoring module.

[0041] Specifically, confirm the inhibitor addition index, including: A1, extract the content of the target inhibitor mineral component corresponding to each monitoring area from the monitoring data after crushing, and screen out the maximum value h′ max At the same time, the average content h1 of the target inhibition mineral component corresponding to the monitoring area is obtained by mean calculation.

[0042] A2. Extract the content of each mineral component in each monitoring area from the monitoring data after crushing, and calculate the composition uniformity β of the ore samples in the monitoring area. y , extract the content of target inhibition mineral components in each monitoring area from the monitoring data after crushing, and select the maximum content h′ max , and the average target suppression mineral content h1 is obtained by averaging, and h1+(h′ max -h1)*(1-β y ) as the target after crushing to suppress the content of mineral components.

[0043] A3. Extract the content of the target inhibiting mineral components of each monitored ore from the mining monitoring data, and select the maximum value h max , the average content h0 of the target suppressed mineral component is obtained by mean calculation.

[0044] A4. Extract the corresponding marked mining time point, the content of each mineral component and the structural monitoring data of each monitored ore from the mining monitoring data, set the target suppression mineral component compensation factor η, and convert h0+(h max -h0)*η is used as the target inhibition mineral component content in the monitored ore.

[0045] A5. Calculate the average of the target inhibition mineral content in the monitored ore and the target inhibition mineral content after crushing, and use it as the confirmation target inhibition mineral content, recorded as h m .

[0046] A6. Match and compare the target inhibitor component with the associated inhibitor components corresponding to the set inhibitor types to obtain the matched inhibitor types.

[0047] A7. Statistically match the amount of inhibitor added L, L = L0*h m +L′*σ, L0 is the amount of inhibitor added corresponding to the set unit target inhibitor mineral component content, L′ is the set inhibitor setting compensation addition amount, and σ is the set inhibitor addition compensation factor.

[0048] In a specific embodiment, if the mineral composition of the ore is complex, contains multiple minerals that need to be suppressed, or the floatability difference between the target suppressed mineral and other minerals is small, the compensation amount of the inhibitor is relatively high. For example, in an ore containing multiple sulfide minerals that interfere with each other's flotation, the compensation amount of the inhibitor may be 30%-50% of the basic amount, and specifically 50% of the basic amount. On the contrary, for an ore with a simple mineral composition and a significant floatability difference between the target suppressed mineral and other minerals, the compensation amount may be only 10%-20% of the basic amount, and specifically 20% of the basic amount.

[0049] The embodiment of the present invention combines the monitoring data of two time periods, namely, mining and crushing of ore samples, to set the target inhibition mineral component compensation factor and analyze the composition uniformity of the ore samples in the monitoring area, thereby confirming the content of the target inhibition mineral component, avoiding the deficiency of only considering the content of the crushed mineral component at present, accurately grasping the content of the target inhibition mineral component, and providing an accurate basis for the addition of inhibitors in the flotation process.

[0050] Furthermore, the composition uniformity of the ore samples in the monitoring area is statistically calculated in step A2, including: A21, for the same mineral component, the standard deviation and the average value of the corresponding content in each monitoring area are calculated respectively, and the calculation results are recorded as the content difference and the average content respectively,

[0051] A22. Compare the content difference of each mineral component with its set reference content difference, count the number of mineral components whose content difference is greater than the corresponding set reference content difference, and divide it by the total number of mineral components. The ratio is taken as the mineral component content deviation ratio, recorded as k c .

[0052] A23. For the same mineral component, compare its content difference with the average content, take the ratio as the coefficient of variation, and extract the maximum coefficient of variation from the coefficients of variation of each mineral component, recorded as CV max .

[0053] A24. Statistical uniformity of composition of ore samples in the monitoring area β y , CV′ is the variation coefficient of the set reference, b1 and b2 represent the weight coefficients corresponding to the mineral component content deviation ratio and the variation coefficient, respectively, and e represents a natural constant.

[0054] It should be added that the smaller the coefficient of variation, the smaller the fluctuation of the element content between different samples, and the more uniform the ore body composition. Generally speaking, if the coefficient of variation of the element content is less than 20%, it can be considered that the distribution of the element in the ore body is relatively uniform.

[0055] In a specific embodiment, CV′ may be set to 0.2, and b1 and b2 may be set to 0.55 and 0.45, respectively.

[0056] Furthermore, in step A4, a target suppression mineral component compensation factor is set, including: A41, recording the interval between the marked mining time point and the current time point as the mining time, calculating the standard deviation of the mining time of each ore sample, and taking the calculation result as the mining time difference, recorded as

[0057] A42, will As the allowable difference in mining time of ore samples, denoted as δ, To set the reference mining time difference.

[0058] A43. According to the statistical method of the composition uniformity of ore samples in the monitoring area, the composition uniformity of ore samples during mining is statistically analyzed in the same way, denoted as β z .

[0059] A44. Extract the structural monitoring data of each monitored ore from the mining monitoring data of the ore sample, and calculate the structural uniformity of the ore sample, which is recorded as β g .

[0060] A45. Set the target suppression mineral composition compensation factor, denoted as η, a0, a1 and a2 represent the corresponding proportion coefficients of mining time difference tolerance, composition uniformity and structural uniformity, respectively. z ′ and β g ′ are the time difference tolerance, composition uniformity and structural uniformity of the reference respectively.

[0061] It should be added that as the mining time goes by, the mining area may gradually go deeper into different parts of the ore body. Since the ore body is affected by various geological factors during its formation, the ore composition and mineral content in different parts may be different. For example, in a large copper deposit, the ore mined in the early stage may be located in the upper part of the ore body, where the pyrite content that needs to be suppressed is relatively low. When the ore body is mined in the later stage, the pyrite content may increase significantly. If it is still judged according to the previous monitoring data and experience, it may lead to deviations in the monitoring data of the mineral content that needs to be suppressed. In addition, some ore bodies have mineralization zoning, that is, different minerals are distributed in a zonal pattern in space. The mining time is different, and the ore mined is in different mineralization zones, and the mineral content that needs to be suppressed will naturally change. For example, in lead-zinc mines, the content of gangue minerals such as calcite may be high near the edge of the ore body, and the minerals that need to be suppressed are mainly calcite. In the center of the ore body, the content of useful minerals such as sphalerite and galena may be high, but the content of interfering minerals such as associated pyrite may also be different. If this change is not taken into account, the accuracy of the monitoring data will be affected.

[0062] It should also be added that if the ore body is very uniform in composition and structure, and the ore properties are basically consistent at different mining locations and times, then the mining time will have little effect on the accuracy of the monitoring data of the mineral content that needs to be suppressed. For example, some small ore bodies with relatively simple genesis have relatively simple mineral compositions and are evenly distributed. During the entire mining process, the content of the minerals that need to be suppressed does not change much, and the monitoring data obtained in the early stage can more accurately reflect the situation of the ore in the later stage.

[0063] It can be understood that the uniformity of mineral composition directly affects the accuracy of using the average value of the target inhibition mineral component in each mineral sample as the confirmation value of the target inhibition mineral component. Therefore, the proportion coefficient corresponding to the composition uniformity is the largest, and the different mining times also cause great interference to the measurement results. The proportion coefficient corresponding to the target inhibition mineral component is second, and the proportion coefficient corresponding to the structural uniformity is relatively small. For example, a0, a1 and a2 can take values ​​of 0.3, 0.45 and 0.25 respectively.

[0064] In a specific embodiment, δ′, β z ′ and β g ′ can take values ​​of 0.4, 0.6 and 0.6 respectively.

[0065] The embodiment of the present invention sets a target suppression mineral component compensation factor by combining the annotated mining time points of different ore samples, the content of each mineral component and the structural monitoring data, and combines the content of each mineral component in each monitoring area to statistically calculate the composition uniformity of the ore samples in the monitoring area, thereby solving the current problem of insufficient consideration of differences in ore properties in different mining areas and different mining stages, fully integrating changes in ore composition, structure, etc., and performing corresponding target suppression of mineral component content compensation, thereby achieving timely adjustment of ore microbubble flotation and avoiding the occurrence of phenomena such as reagent waste or poor flotation effect.

[0066] Furthermore, in step A44, the structural uniformity of the ore sample is counted, including: extracting the monitoring structure type corresponding to each monitoring part from the structural monitoring data, for the same monitoring ore, comparing the monitoring structure types corresponding to different monitoring parts, counting the number of different monitoring structure types, and dividing it by the total number of monitoring parts, recording the ratio as the structural type difference ratio, calculating the mean of the structural monitoring type ratios of each monitoring ore, and obtaining the average structural type difference ratio, recorded as k g .

[0067] The monitoring structure types of each monitored ore corresponding to each monitoring part are compared with each other, and the number of the same monitoring structure types is counted and divided by the total number of monitoring parts, which is recorded as the same structure ratio. If the same monitoring structure ratio between a certain monitored ore and another monitored ore is greater than the set reference same structure ratio, the other monitored ore is regarded as a similar ore to the monitored ore.

[0068] Count the total number of similar ores of each monitored ore, select the maximum value, and then divide it by the total number of monitored ores. The ratio is recorded as the structural type matching ratio, denoted as k w .

[0069] Statistical uniformity of ore samples β g ,

[0070] Furthermore, the specific setting process of the inhibitor addition compensation factor in step A7 is as follows: A71. Extract the current pH value and the current temperature from the real-time monitoring of the pH value and the temperature of the slurry in the flotation tank, and record them as pH0 and T0 respectively.

[0071] A72, set the inhibitor addition compensation factor σ, pH' and T' are the pH value and temperature of the appropriate reaction for the set matching inhibitor species, respectively, and ΔpH and ΔT are the pH value difference and temperature difference of the set reference, respectively.

[0072] It should be added that the specific values ​​of pH' and T' and ΔpH and ΔT can be determined comprehensively according to the type of matching inhibitor, the type of ore and the flotation process. For example, when sulfide ores are floated and xanthate collectors are used to float copper sulfide ores, lime is often used as an adjuster to suppress impurity minerals such as pyrite. At this time, the appropriate pH value is usually around 9-11. Specifically, pH' can be selected as 10, and ΔpH can be 2. In most cases, 20-30°C can meet the flotation requirements. Within this temperature range, the dissolution, diffusion and interaction of the reagent with the mineral surface can be carried out well, and the operation of the flotation equipment is also relatively stable. Many conventional ore flotation, such as the flotation of common copper, lead, zinc and other sulfide ores, can achieve good results at room temperature. That is, T' can be 25°C and ΔT can be 8°C.

[0073] The dosing control and analysis module is used to analyze the appropriate addition amount of each type of reagent based on the data imported by the ore data import module and the data monitored by the slurry data monitoring module.

[0074] Specifically, see Figure 3 As shown, the appropriate addition amount of each type of medicine is analyzed, including: B1, extracting the corresponding set delivery amount of each type of medicine during each medicine delivery and monitoring the actual delivery amount from the database, and confirming the medicine delivery compensation amount of each type of medicine.

[0075] B2. By real-time monitoring the concentration and pH value of the slurry in the flotation tank, the consistency of the slurry state is analyzed and recorded as λ.

[0076] B3. Determine whether the consistency of the slurry state is less than the set consistency of the reference slurry state. If it is judged to be no, the sum of the pre-set addition amount of each reagent type and its reagent delivery compensation amount is used as the appropriate addition amount of each reagent type.

[0077] B4. If the answer is yes, calculate the appropriate amount of each drug to be added λ′ is the consistency of the reference slurry state, N i and N i ″ respectively represent the addition amount of the i-th drug type and the drug delivery compensation amount, N i ″′ is the preset single allowable supplementary addition amount of the i-th drug type, i represents the drug type number, i=1, 2,...n.

[0078] The embodiment of the present invention continuously monitors flotation indicators and further analyzes the state of the slurry in the flotation tank, and then analyzes the appropriate addition amount of each type of reagent, thereby improving the subsequent flotation recovery rate and concentrate grade, and by setting the delivery amount of various reagents corresponding to each reagent delivery and monitoring the actual delivery amount to set the addition amount compensation factor, it compensates for the measurement deviation caused by the wear of the metering pump after long-term use and then causes inaccurate flow, ensures the consistency between the planned dosage and the actual dosage, thereby ensuring the accuracy and effectiveness of the dosage setting, and also realizes the dynamic optimization and adjustment of the dosage, further significantly improving the accuracy of the dosage, the flotation effect and the production efficiency.

[0079] Furthermore, the step of confirming the medicine delivery compensation amount of each medicine type in step B1 includes: subtracting the set delivery amount from the monitored actual delivery amount, and recording the difference as the delivery amount difference.

[0080] The number of drug delivery times for each drug type with a delivery volume difference less than 0 is counted and divided by the total number of drug delivery times, and the ratio is recorded as the drug delivery deviation ratio.

[0081] If the drug delivery deviation ratio of a certain drug type is less than the set reference value, 0 is used as the drug delivery compensation amount of the drug type.

[0082] If the drug delivery deviation ratio of a certain type of drug is greater than the set reference value, the delivery volume difference of each drug delivery with a delivery volume difference less than 0 is averaged to obtain the average delivery volume difference, and the absolute value of the average delivery volume difference is taken as the drug delivery compensation amount for the drug type, thereby obtaining the drug delivery compensation amount for each drug type.

[0083] Furthermore, the slurry state consistency is analyzed in step B2, including: constructing a slurry concentration change curve with time as the horizontal coordinate and the slurry concentration as the vertical coordinate, extracting the slope of the slurry concentration change curve as the slurry concentration change rate, and extracting the current concentration from the real-time monitoring of the slurry concentration in the flotation tank.

[0084] The concentration, pH value, concentration change rate and pH value change rate of the slurry in the reference flotation tank corresponding to the current cumulative stirring time are extracted from the database.

[0085] The pulp concentration change rate and current concentration are recorded as r0 and D0 respectively, and the pulp concentration and concentration change rate in the flotation tank corresponding to the current cumulative stirring time are recorded as D′ and r′ respectively. The pulp concentration consistency is calculated. Δr and ΔD represent the concentration change rate difference and the concentration difference, respectively.

[0086] The consistency of slurry pH value is obtained by statistics in the same way as the consistency of slurry concentration, the consistency of slurry concentration and the weight of the consistency of slurry concentration are set, and the consistency of slurry state is obtained by weighted average calculation.

[0087] It should be added that in conventional ore flotation operations, when the flotation process is relatively stable and the ore properties and flotation conditions fluctuate slightly, the concentration change rate difference can be set in a relatively small range. Δr is 0.1 and ΔD is 0.3.

[0088] The database is used to store the set delivery amount of each reagent type and monitor the actual delivery amount during each reagent delivery, and store the concentration, pH value, concentration change rate and pH value change rate of the slurry in the flotation tank corresponding to each stirring time.

[0089] The flotation dosing control terminal is used to control the metering pump to adjust the amount of inhibitor added according to the inhibitor addition index and deliver it to the flotation tank. At the same time, the metering pump controls the delivery amount of the reagent according to the appropriate addition amount and adds the reagent to the flotation tank.

[0090] The embodiment of the present invention solves the problem of currently relying on the experience and skills of operators to control the dosage and timing of dosing by confirming the inhibitor addition index and confirming and analyzing the appropriate addition amount of each type of agent, and performing dosing control, avoids the differences in judgment and operation of different operators, and provides a strong guarantee for the accuracy and stability of dosing.

[0091] See also Figure 2 As shown, the present invention provides a dosing control method for ore microbubble flotation, the method comprising: S1, ore data import: importing mining monitoring data of ore samples and monitoring data after crushing.

[0092] S2. Slurry data monitoring: Prepare slurry for the ground ore, record the starting slurry preparation time point, and monitor the concentration, pH value and temperature of the slurry in the flotation tank in real time, and import the currently set stirring parameters.

[0093] S3. Slurry adjustment analysis: Based on the data from steps S1 and S2, confirm the inhibitor addition index.

[0094] S4. Dosing control analysis: Based on the data from steps S1 and S2, analyze the appropriate amount of each type of agent to be added.

[0095] S5. Flotation dosing control: Control the metering pump to adjust the amount of inhibitor added according to the inhibitor addition index and deliver it to the flotation tank. At the same time, control the metering pump to control the delivery amount of the reagent according to the appropriate addition amount and add the reagent to the flotation tank.

[0096] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A dosing control system for ore microbubble flotation, characterized in that: The system includes the following modules: Ore data import module, used to import mining monitoring data of ore samples and monitoring data after crushing; The slurry data monitoring module is used to prepare the slurry for the ground ore, record the starting slurry preparation time point, and monitor the concentration, pH value and temperature of the slurry in the flotation tank in real time, and record the current cumulative stirring time; The slurry adjustment analysis module is used to confirm the inhibitor addition index based on the data imported by the ore data import module and the data monitored by the slurry data monitoring module; The dosing control analysis module is used to analyze the appropriate addition amount of each type of reagent based on the data imported by the ore data import module and the data monitored by the slurry data monitoring module; A database is used to store the set delivery amount of each reagent type and monitor the actual delivery amount during each reagent delivery, and store the concentration, pH value, concentration change rate and pH value change rate of the slurry in the flotation tank corresponding to each stirring time; The flotation dosing control terminal is used to control the metering pump to adjust the amount of inhibitor added according to the inhibitor addition index and deliver it to the flotation tank. At the same time, it controls the metering pump to control the delivery amount of the reagent according to the appropriate addition amount and add the reagent to the flotation tank.

2. A dosing control system for ore microbubble flotation as claimed in claim 1, characterized in that: The indicators for confirming the addition of inhibitors include: Extract the content of target inhibition mineral components corresponding to each monitoring area from the monitoring data after crushing, and select the maximum value h′ max At the same time, the average content h1 of the target inhibition mineral component corresponding to the monitoring area is obtained by mean calculation; The content of each mineral component in each monitoring area is extracted from the monitoring data after crushing, and the composition uniformity β of the ore samples in the monitoring area is calculated. y , extract the content of target inhibition mineral components in each monitoring area from the monitoring data after crushing, and select the maximum content h′ max , and the average target suppression mineral content h1 is obtained by averaging, and h1+(h′ max -h1)*(1-β y ) as the target to suppress the content of mineral components after crushing; Extract the content of the target inhibition mineral component of each monitored ore from the mining monitoring data, and select the maximum value h max , the average content h0 of the target inhibited mineral component is obtained by mean calculation; Extract the corresponding marked mining time point, the content of each mineral component and the structure monitoring data of each monitored ore from the mining monitoring data, set the target suppression mineral component compensation factor η, and convert h0+(h max -h0)*η is used as the content of target inhibiting mineral components in the monitored ore; Calculate the average of the target inhibition mineral content in the monitored ore and the target inhibition mineral content after crushing as the confirmed target inhibition mineral content, denoted as h m ; Matching and comparing the target inhibitor component with the associated inhibitor components corresponding to each set inhibitor type to obtain a matching inhibitor type; Statistically match the amount of inhibitor added L, L = L0*h m +L′*σ, L0 is the amount of inhibitor added corresponding to the set unit target inhibitor mineral component content, L′ is the set inhibitor setting compensation addition amount, and σ is the set inhibitor addition compensation factor.

3. A dosing control system for ore microbubble flotation as claimed in claim 2, characterized in that: The composition uniformity of the ore samples in the statistical monitoring area includes: For the same mineral component, the standard deviation and average value of its corresponding content in each monitoring area are calculated respectively, and the calculation results are recorded as content difference and average content respectively. The content difference of each mineral component is compared with the set reference content difference, and the number of mineral components whose content difference is greater than the corresponding set reference content difference is counted and divided by the total number of mineral components. The ratio is taken as the mineral component content deviation ratio, which is recorded as k c ; For the same mineral component, its content difference is compared with the average content, and the ratio is used as the coefficient of variation. The maximum coefficient of variation is extracted from the coefficients of variation of each mineral component and recorded as CV max ; Statistical uniformity of composition of ore samples in the monitoring area β y , CV′ is the variation coefficient of the set reference, b1 and b2 represent the weight coefficients corresponding to the mineral component content deviation ratio and the variation coefficient, respectively, and e represents a natural constant.

4. A dosing control system for ore microbubble flotation as claimed in claim 3, characterized in that: The setting of the target suppression mineral composition compensation factor includes: The interval between the marked mining time point and the current time point is recorded as the mining time, and the standard deviation of the mining time of each ore sample is calculated, and the calculation result is used as the mining time difference, recorded as Will As the allowable difference in mining time of ore samples, denoted as δ, To set the reference mining time difference; According to the statistical method of the composition uniformity of ore samples in the monitoring area, the composition uniformity of ore samples during mining is statistically analyzed, denoted as β z ; The structural monitoring data of each monitored ore is extracted from the mining monitoring data of the ore sample, and the structural uniformity of the ore sample is statistically calculated, which is recorded as β g ; Set the target suppression mineral composition compensation factor, denoted as η, a0, a1 and a2 represent the corresponding proportion coefficients of mining time difference tolerance, composition uniformity and structural uniformity, respectively. z ′ and β g ′ are the time difference tolerance, composition uniformity and structural uniformity of the reference respectively.

5. A dosing control system for ore microbubble flotation as claimed in claim 4, characterized in that: The statistical structural uniformity of the ore sample includes: The monitoring structure type corresponding to each monitoring part is extracted from the structural monitoring data. For the same monitored ore, the monitoring structure types corresponding to different monitoring parts are compared with each other, the number of different monitoring structure types is counted, and the ratio is divided by the total number of monitoring parts. The ratio is recorded as the structure type difference ratio. The structure monitoring type ratio of each monitored ore is averaged to obtain the average structure type difference ratio, which is recorded as k. g ; Compare the monitoring structure types of each monitoring ore corresponding to each monitoring part, count the number of the same monitoring structure types, and divide it by the total number of monitoring parts, record it as the same structure ratio. If the same monitoring structure ratio between a certain monitoring ore and another monitoring ore is greater than the set reference same structure ratio, the other monitoring ore is regarded as a similar ore to the monitoring ore. Count the total number of similar ores of each monitored ore, select the maximum value, and then divide it by the total number of monitored ores. The ratio is recorded as the structural type matching ratio, denoted as k w ; Statistical uniformity of ore samples β g , 6. A dosing control system for ore microbubble flotation as claimed in claim 2, characterized in that: The specific setting process of the inhibitor addition compensation factor is as follows: The current pH value and the current temperature are extracted from the real-time monitoring of the pH value and the temperature of the slurry in the flotation tank, and are recorded as pH0 and T0 respectively; Set the inhibitor to add a compensation factor σ, pH' and T' are the pH value and temperature of the appropriate reaction for the set matching inhibitor species, respectively, and ΔpH and ΔT are the pH value difference and temperature difference of the set reference, respectively.

7. A dosing control system for ore microbubble flotation as claimed in claim 4, characterized in that: The analysis of the appropriate amount of each type of medicine to be added includes: Extract the set delivery amount corresponding to each type of medicine during each medicine delivery from the database and monitor the actual delivery amount, and confirm the medicine delivery compensation amount of each type of medicine; By real-time monitoring of the concentration and pH value of the slurry in the flotation tank, the consistency of the slurry state is analyzed, which is recorded as λ; Determine whether the consistency of the slurry state is less than the set consistency of the reference slurry state. If it is judged to be no, the sum of the preset addition amount of each reagent type and its reagent delivery compensation amount is used as the appropriate addition amount of each reagent type; If the answer is yes, calculate the appropriate amount of each drug to be added λ′ is the consistency of the reference slurry state, N i and N i ″ respectively represent the addition amount of the i-th drug type and the drug delivery compensation amount, N i ″′ is the preset single allowable supplementary addition amount of the i-th drug type, i represents the drug type number, i=1, 2,...n.

8. A dosing control system for ore microbubble flotation as claimed in claim 7, characterized in that: The step of confirming the medicine delivery compensation amount of each medicine type includes: Subtract the set delivery amount from the monitored actual delivery amount, and record the difference as the delivery amount difference; The number of drug delivery times for each drug type with a delivery volume difference less than 0 is counted, and the number is divided by the total number of drug delivery times, and the ratio is recorded as the drug delivery deviation ratio; If the drug delivery deviation ratio of a certain drug type is less than the set reference value, 0 is used as the drug delivery compensation amount of the drug type; If the drug delivery deviation ratio of a certain type of drug is greater than the set reference value, the delivery volume difference of each drug delivery with a delivery volume difference less than 0 is averaged to obtain the average delivery volume difference, and the absolute value of the average delivery volume difference is taken as the drug delivery compensation amount for the drug type, thereby obtaining the drug delivery compensation amount for each drug type.

9. A dosing control system for ore microbubble flotation as claimed in claim 7, characterized in that: The analysis of the consistency of the slurry state includes: With time as the horizontal axis and the concentration of the slurry as the vertical axis, a slurry concentration change curve is constructed, the slope of the slurry concentration change curve is extracted as the slurry concentration change rate, and the current concentration is extracted from the concentration of the slurry in the flotation tank under real-time monitoring; Extract the concentration, pH value, concentration change rate and pH change rate of the slurry in the reference flotation tank corresponding to the current cumulative stirring time from the database; The pulp concentration change rate and current concentration are recorded as r0 and D0 respectively, and the pulp concentration and concentration change rate in the flotation tank corresponding to the current cumulative stirring time are recorded as D′ and r′ respectively. The pulp concentration consistency is calculated. Δr and ΔD represent the concentration change rate difference and concentration difference, respectively; The consistency of slurry pH value is obtained by statistics in the same way as the consistency of slurry concentration, the consistency of slurry concentration and the weight of the consistency of slurry concentration are set, and the consistency of slurry state is obtained by weighted average calculation.

10. A dosing control method for ore microbubble flotation, characterized in that: The method includes: S1. Ore data import: import the mining monitoring data of ore samples and the monitoring data after crushing; S2. Slurry data monitoring: Prepare slurry for the ground ore, record the starting slurry preparation time, and monitor the concentration, pH value and temperature of the slurry in the flotation tank in real time, and import the currently set stirring parameters; S3. Slurry adjustment analysis: Based on the data from steps S1 and S2, confirm the inhibitor addition index; S4, dosing control analysis: based on the data of steps S1 and S2, analyze the appropriate amount of each type of agent to be added; S5. Flotation dosing control: Control the metering pump to adjust the amount of inhibitor added according to the inhibitor addition index and deliver it to the flotation tank. At the same time, control the metering pump to control the delivery amount of the reagent according to the appropriate addition amount and add the reagent to the flotation tank.

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